diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..ef0c7a7bdf4d64fef1c69f56e88b3d1a6d531705
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,19 @@
+**/__pycache__
+/Model/
+/logs/
+/cache/
+/upload/
+**/pytorch_model.bin
+**/spm.model
+/**/*.pt
+/**/*.onnx
+phrases_dict.txt
+/config.yml
+/config.yaml
+/data/emotional/dimensional_emotion_model/model.onnx
+/data/hubert_soft/hubert-soft-0d54a1f4.pt
+/data/emotional/dimensional_emotion_npy/
+/data/bert/vits_chinese_bert/prosody_model.pt
+/data/emotional/dimensional_emotion_npy/
+/data/models/
+/vits/text/chinese_dialect_lexicons
\ No newline at end of file
diff --git a/Dockerfile b/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..cd31a4116a2ac06495897258f93a43e85e805cd4
--- /dev/null
+++ b/Dockerfile
@@ -0,0 +1,38 @@
+FROM artrajz/pytorch:2.2.1-cpu-py3.10.11-ubuntu22.04
+
+RUN mkdir -p /app
+WORKDIR /app
+
+ENV DEBIAN_FRONTEND=noninteractive
+
+
+RUN apt-get update && \
+ apt-get install -yq build-essential espeak-ng cmake wget ca-certificates tzdata&& \
+ update-ca-certificates && \
+ apt-get clean && \
+ apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false && \
+ rm -rf /var/lib/apt/lists/*
+
+# Install jemalloc
+RUN wget https://github.com/jemalloc/jemalloc/releases/download/5.3.0/jemalloc-5.3.0.tar.bz2 && \
+ tar -xvf jemalloc-5.3.0.tar.bz2 && \
+ cd jemalloc-5.3.0 && \
+ ./configure && \
+ make -j$(nproc) && \
+ make install && \
+ cd .. && \
+ rm -rf jemalloc-5.3.0* && \
+ ldconfig
+
+ENV LD_PRELOAD=/usr/local/lib/libjemalloc.so
+
+COPY requirements.txt /app/
+RUN pip install gunicorn --no-cache-dir && \
+ pip install -r requirements.txt --no-cache-dir&& \
+ rm -rf /root/.cache/pip/*
+
+COPY . /app
+
+EXPOSE 23456
+
+CMD ["gunicorn", "-c", "gunicorn_config.py", "app:app"]
\ No newline at end of file
diff --git a/Dockerfile_GPU b/Dockerfile_GPU
new file mode 100644
index 0000000000000000000000000000000000000000..e2152fd234089401b2204eb21a229223b477989e
--- /dev/null
+++ b/Dockerfile_GPU
@@ -0,0 +1,38 @@
+FROM artrajz/pytorch:2.2.1-cu118-py3.10.11-ubuntu22.04
+
+RUN mkdir -p /app
+WORKDIR /app
+
+ENV DEBIAN_FRONTEND=noninteractive
+
+RUN apt-get update && \
+ apt-get install -yq build-essential espeak-ng cmake wget ca-certificates tzdata&& \
+ update-ca-certificates && \
+ apt-get clean && \
+ apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false && \
+ rm -rf /var/lib/apt/lists/*
+
+
+# Install jemalloc
+RUN wget https://github.com/jemalloc/jemalloc/releases/download/5.3.0/jemalloc-5.3.0.tar.bz2 && \
+ tar -xvf jemalloc-5.3.0.tar.bz2 && \
+ cd jemalloc-5.3.0 && \
+ ./configure && \
+ make -j$(nproc) && \
+ make install && \
+ cd .. && \
+ rm -rf jemalloc-5.3.0* && \
+ ldconfig
+
+ENV LD_PRELOAD=/usr/local/lib/libjemalloc.so
+
+COPY requirements.txt /app/
+RUN pip install gunicorn --no-cache-dir && \
+ pip install -r requirements.txt --no-cache-dir&& \
+ rm -rf /root/.cache/pip/*
+
+COPY . /app
+
+EXPOSE 23456
+
+CMD ["gunicorn", "-c", "gunicorn_config.py", "app:app"]
\ No newline at end of file
diff --git a/LICENSE b/LICENSE
new file mode 100644
index 0000000000000000000000000000000000000000..0ad25db4bd1d86c452db3f9602ccdbe172438f52
--- /dev/null
+++ b/LICENSE
@@ -0,0 +1,661 @@
+ GNU AFFERO GENERAL PUBLIC LICENSE
+ Version 3, 19 November 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc.
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+ Preamble
+
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+software and other kinds of works, specifically designed to ensure
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+
+ The licenses for most software and other practical works are designed
+to take away your freedom to share and change the works. By contrast,
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+share and change all versions of a program--to make sure it remains free
+software for all its users.
+
+ When we speak of free software, we are referring to freedom, not
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+free programs, and that you know you can do these things.
+
+ Developers that use our General Public Licenses protect your rights
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+conveyed by you (or copies made from those copies), or (b) primarily
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+or that patent license was granted, prior to 28 March 2007.
+
+ Nothing in this License shall be construed as excluding or limiting
+any implied license or other defenses to infringement that may
+otherwise be available to you under applicable patent law.
+
+ 12. No Surrender of Others' Freedom.
+
+ If conditions are imposed on you (whether by court order, agreement or
+otherwise) that contradict the conditions of this License, they do not
+excuse you from the conditions of this License. If you cannot convey a
+covered work so as to satisfy simultaneously your obligations under this
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+not convey it at all. For example, if you agree to terms that obligate you
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+the Program, the only way you could satisfy both those terms and this
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+
+ 13. Remote Network Interaction; Use with the GNU General Public License.
+
+ Notwithstanding any other provision of this License, if you modify the
+Program, your modified version must prominently offer all users
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+supports such interaction) an opportunity to receive the Corresponding
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+following paragraph.
+
+ Notwithstanding any other provision of this License, you have
+permission to link or combine any covered work with a work licensed
+under version 3 of the GNU General Public License into a single
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+License will continue to apply to the part which is the covered work,
+but the work with which it is combined will remain governed by version
+3 of the GNU General Public License.
+
+ 14. Revised Versions of this License.
+
+ The Free Software Foundation may publish revised and/or new versions of
+the GNU Affero General Public License from time to time. Such new versions
+will be similar in spirit to the present version, but may differ in detail to
+address new problems or concerns.
+
+ Each version is given a distinguishing version number. If the
+Program specifies that a certain numbered version of the GNU Affero General
+Public License "or any later version" applies to it, you have the
+option of following the terms and conditions either of that numbered
+version or of any later version published by the Free Software
+Foundation. If the Program does not specify a version number of the
+GNU Affero General Public License, you may choose any version ever published
+by the Free Software Foundation.
+
+ If the Program specifies that a proxy can decide which future
+versions of the GNU Affero General Public License can be used, that proxy's
+public statement of acceptance of a version permanently authorizes you
+to choose that version for the Program.
+
+ Later license versions may give you additional or different
+permissions. However, no additional obligations are imposed on any
+author or copyright holder as a result of your choosing to follow a
+later version.
+
+ 15. Disclaimer of Warranty.
+
+ THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
+APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
+HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
+OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
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+IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
+ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
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+ 16. Limitation of Liability.
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+ IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
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+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+ 17. Interpretation of Sections 15 and 16.
+
+ If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+ END OF TERMS AND CONDITIONS
+
+ How to Apply These Terms to Your New Programs
+
+ If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+ To do so, attach the following notices to the program. It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+
+ Copyright (C)
+
+ This program is free software: you can redistribute it and/or modify
+ it under the terms of the GNU Affero General Public License as published
+ by the Free Software Foundation, either version 3 of the License, or
+ (at your option) any later version.
+
+ This program is distributed in the hope that it will be useful,
+ but WITHOUT ANY WARRANTY; without even the implied warranty of
+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ GNU Affero General Public License for more details.
+
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+ along with this program. If not, see .
+
+Also add information on how to contact you by electronic and paper mail.
+
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+.
diff --git a/README.md b/README.md
index 5d68b6e942fee69b707733f73161d58a1e698ed5..8c51e50daedae9f8b052fcb505a19f347d9aa846 100644
--- a/README.md
+++ b/README.md
@@ -1,12 +1,7 @@
----
-title: Vits Simple Api Gsv
-emoji: 🐨
-colorFrom: yellow
-colorTo: blue
+license: mit
+title: vits-simple-api-gsv
sdk: gradio
-sdk_version: 4.21.0
+pinned: true
+python_version: 3.10.11
+emoji: 👀
app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/README_zh.md b/README_zh.md
new file mode 100644
index 0000000000000000000000000000000000000000..02175d35a4e5e1fad20345799765ab5d15ca221a
--- /dev/null
+++ b/README_zh.md
@@ -0,0 +1,584 @@
+
+
vits-simple-api
+
Simply call the vits api
+
+
+
+ 
+ 
+
+ 
+
+
English|
中文文档
+
+
diff --git a/api_test.py b/api_test.py
new file mode 100644
index 0000000000000000000000000000000000000000..956dab93e6457f9c8f2c55b27cb080d5511baf4f
--- /dev/null
+++ b/api_test.py
@@ -0,0 +1,575 @@
+import json
+import re
+import requests
+import os
+import time
+import random
+import string
+from requests_toolbelt.multipart.encoder import MultipartEncoder
+
+absolute_path = os.path.dirname(__file__)
+base_url = "http://127.0.0.1:23456"
+
+
+# 映射表
+def voice_speakers():
+ url = f"{base_url}/voice/speakers"
+
+ res = requests.post(url=url)
+ json = res.json()
+ for i in json:
+ print(i)
+ for j in json[i]:
+ print(j)
+ return json
+
+
+# 语音合成 voice vits
+def voice_vits(text, id=0, format="wav", lang="auto", length=1, noise=0.667, noisew=0.8, segment_size=50,
+ save_audio=True,
+ save_path=None):
+ fields = {
+ "text": text,
+ "id": str(id),
+ "format": format,
+ "lang": lang,
+ "length": str(length),
+ "noise": str(noise),
+ "noisew": str(noisew),
+ "segment_size": str(segment_size)
+ }
+ boundary = '----VoiceConversionFormBoundary' + ''.join(random.sample(string.ascii_letters + string.digits, 16))
+
+ m = MultipartEncoder(fields=fields, boundary=boundary)
+ headers = {"Content-Type": m.content_type}
+ url = f"{base_url}/voice/vits"
+
+ res = requests.post(url=url, data=m, headers=headers)
+ fname = re.findall("filename=(.+)", res.headers["Content-Disposition"])[0]
+ if save_path is not None:
+ path = os.path.join(save_path, fname)
+ else:
+ path = os.path.join(absolute_path, fname)
+ if save_audio:
+ with open(path, "wb") as f:
+ f.write(res.content)
+ print(path)
+ return path
+ return None
+
+
+def voice_vits_streaming(text, id=0, format="wav", lang="auto", length=1, noise=0.667, noisew=0.8, segment_size=50,
+ save_audio=True, save_path=None):
+ fields = {
+ "text": text,
+ "id": str(id),
+ "format": format,
+ "lang": lang,
+ "length": str(length),
+ "noise": str(noise),
+ "noisew": str(noisew),
+ "segment_size": str(segment_size),
+ "streaming": 'True'
+ }
+ boundary = '----VoiceConversionFormBoundary' + ''.join(random.sample(string.ascii_letters + string.digits, 16))
+
+ m = MultipartEncoder(fields=fields, boundary=boundary)
+ headers = {"Content-Type": m.content_type}
+ url = f"{base_url}/voice"
+
+ res = requests.post(url=url, data=m, headers=headers)
+ fname = re.findall("filename=(.+)", res.headers["Content-Disposition"])[0]
+ if save_path is not None:
+ path = os.path.join(save_path, fname)
+ else:
+ path = os.path.join(absolute_path, fname)
+ if save_audio:
+ with open(path, "wb") as f:
+ f.write(res.content)
+ print(path)
+ return path
+ return None
+
+
+def voice_vits_streaming(text, id=0, format="wav", lang="auto", length=1, noise=0.667, noisew=0.8, segment_size=50,
+ save_path=None):
+ fields = {
+ "text": text,
+ "id": str(id),
+ "format": format,
+ "lang": lang,
+ "length": str(length),
+ "noise": str(noise),
+ "noisew": str(noisew),
+ "segment_size": str(segment_size),
+ "streaming": 'True'
+ }
+ boundary = '----VoiceConversionFormBoundary' + ''.join(random.sample(string.ascii_letters + string.digits, 16))
+
+ m = MultipartEncoder(fields=fields, boundary=boundary)
+ headers = {"Content-Type": m.content_type}
+ url = f"{base_url}/voice"
+
+ res = requests.post(url=url, data=m, headers=headers, stream=True)
+ fname = re.findall("filename=(.+)", res.headers["Content-Disposition"])[0]
+ if save_path is not None:
+ path = os.path.join(save_path, fname)
+ else:
+ path = os.path.join(absolute_path, fname)
+ audio = res.content
+
+ def get_file_size_from_bytes(byte_data):
+ file_size_offset = 4
+ file_size_length = 4
+
+ try:
+ file_size_bytes = byte_data[file_size_offset:file_size_offset + file_size_length]
+ file_size = int.from_bytes(file_size_bytes, byteorder='little')
+ return file_size + 8
+ except IndexError:
+ return None
+
+ audio = None
+ p = 0
+ audio_size = None
+ audios = []
+
+ for chunk in res.iter_content(chunk_size=1024):
+ if audio is None:
+ audio = chunk
+ else:
+ audio += chunk
+
+ p += len(chunk)
+ if audio_size is not None:
+ if p >= audio_size:
+ p = p - audio_size
+ audios.append(audio[:audio_size])
+ audio = audio[audio_size:]
+ audio_size = get_file_size_from_bytes(audio)
+ else:
+ audio_size = get_file_size_from_bytes(audio)
+ for i, audio in enumerate(audios):
+ with open(f"{path[:-4]}-{i}.wav", "wb") as f:
+ f.write(audio)
+
+ print(f"{path[:-4]}-{i}.wav")
+ return path
+
+
+# 语音转换 hubert-vits
+def voice_hubert_vits(upload_path, id, format="wav", length=1, noise=0.667, noisew=0.8, save_audio=True,
+ save_path=None):
+ upload_name = os.path.basename(upload_path)
+ upload_type = f'audio/{upload_name.split(".")[1]}' # wav,ogg
+
+ with open(upload_path, 'rb') as upload_file:
+ fields = {
+ "upload": (upload_name, upload_file, upload_type),
+ "id": str(id),
+ "format": format,
+ "length": str(length),
+ "noise": str(noise),
+ "noisew": str(noisew),
+ }
+ boundary = '----VoiceConversionFormBoundary' + ''.join(random.sample(string.ascii_letters + string.digits, 16))
+
+ m = MultipartEncoder(fields=fields, boundary=boundary)
+ headers = {"Content-Type": m.content_type}
+ url = f"{base_url}/voice/hubert-vits"
+
+ res = requests.post(url=url, data=m, headers=headers)
+ fname = re.findall("filename=(.+)", res.headers["Content-Disposition"])[0]
+ if save_path is not None:
+ path = os.path.join(save_path, fname)
+ else:
+ path = os.path.join(absolute_path, fname)
+ if save_audio:
+ with open(path, "wb") as f:
+ f.write(res.content)
+ print(path)
+ return path
+ return None
+
+
+# 维度情感模型 w2v2-vits
+def voice_w2v2_vits(text, id=0, format="wav", lang="auto", length=1, noise=0.667, noisew=0.8, segment_size=50,
+ emotion=0,
+ save_audio=True, save_path=None):
+ fields = {
+ "text": text,
+ "id": str(id),
+ "format": format,
+ "lang": lang,
+ "length": str(length),
+ "noise": str(noise),
+ "noisew": str(noisew),
+ "segment_size": str(segment_size),
+ "emotion": str(emotion)
+ }
+ boundary = '----VoiceConversionFormBoundary' + ''.join(random.sample(string.ascii_letters + string.digits, 16))
+
+ m = MultipartEncoder(fields=fields, boundary=boundary)
+ headers = {"Content-Type": m.content_type}
+ url = f"{base_url}/voice/w2v2-vits"
+
+ res = requests.post(url=url, data=m, headers=headers)
+ fname = re.findall("filename=(.+)", res.headers["Content-Disposition"])[0]
+ if save_path is not None:
+ path = os.path.join(save_path, fname)
+ else:
+ path = os.path.join(absolute_path, fname)
+ if save_audio:
+ with open(path, "wb") as f:
+ f.write(res.content)
+ print(path)
+ return path
+ return None
+
+
+# 语音转换 同VITS模型内角色之间的音色转换
+def voice_conversion(upload_path, original_id, target_id, save_audio=True, save_path=None):
+ upload_name = os.path.basename(upload_path)
+ upload_type = f'audio/{upload_name.split(".")[1]}' # wav,ogg
+
+ with open(upload_path, 'rb') as upload_file:
+ fields = {
+ "upload": (upload_name, upload_file, upload_type),
+ "original_id": str(original_id),
+ "target_id": str(target_id),
+ }
+ boundary = '----VoiceConversionFormBoundary' + ''.join(random.sample(string.ascii_letters + string.digits, 16))
+ m = MultipartEncoder(fields=fields, boundary=boundary)
+
+ headers = {"Content-Type": m.content_type}
+ url = f"{base_url}/voice/conversion"
+
+ res = requests.post(url=url, data=m, headers=headers)
+
+ fname = re.findall("filename=(.+)", res.headers["Content-Disposition"])[0]
+ if save_path is not None:
+ path = os.path.join(save_path, fname)
+ else:
+ path = os.path.join(absolute_path, fname)
+
+ if save_audio:
+ with open(path, "wb") as f:
+ f.write(res.content)
+ print(path)
+ return path
+ return None
+
+
+def voice_ssml(ssml, save_audio=True, save_path=None):
+ fields = {
+ "ssml": ssml,
+ }
+ boundary = '----VoiceConversionFormBoundary' + ''.join(random.sample(string.ascii_letters + string.digits, 16))
+
+ m = MultipartEncoder(fields=fields, boundary=boundary)
+ headers = {"Content-Type": m.content_type}
+ url = f"{base_url}/voice/ssml"
+
+ res = requests.post(url=url, data=m, headers=headers)
+ fname = re.findall("filename=(.+)", res.headers["Content-Disposition"])[0]
+ if save_path is not None:
+ path = os.path.join(save_path, fname)
+ else:
+ path = os.path.join(absolute_path, fname)
+
+ if save_audio:
+ with open(path, "wb") as f:
+ f.write(res.content)
+ print(path)
+ return path
+ return None
+
+
+def voice_dimensional_emotion(upload_path, save_audio=True,
+ save_path=None):
+ upload_name = os.path.basename(upload_path)
+ upload_type = f'audio/{upload_name.split(".")[1]}' # wav,ogg
+
+ with open(upload_path, 'rb') as upload_file:
+ fields = {
+ "upload": (upload_name, upload_file, upload_type),
+ }
+ boundary = '----VoiceConversionFormBoundary' + ''.join(random.sample(string.ascii_letters + string.digits, 16))
+
+ m = MultipartEncoder(fields=fields, boundary=boundary)
+ headers = {"Content-Type": m.content_type}
+ url = f"{base_url}/voice/dimension-emotion"
+
+ res = requests.post(url=url, data=m, headers=headers)
+ fname = re.findall("filename=(.+)", res.headers["Content-Disposition"])[0]
+ if save_path is not None:
+ path = os.path.join(save_path, fname)
+ else:
+ path = os.path.join(absolute_path, fname)
+ if save_audio:
+ with open(path, "wb") as f:
+ f.write(res.content)
+ print(path)
+ return path
+ return None
+
+
+def vits_json(text, id=0, format="wav", lang="auto", length=1, noise=0.667, noisew=0.8, segment_size=50,
+ save_audio=True, save_path=None):
+ fields = {
+ "text": text,
+ "id": str(id),
+ "format": format,
+ "lang": lang,
+ "length": str(length),
+ "noise": str(noise),
+ "noisew": str(noisew),
+ "segment_size": str(segment_size)
+ }
+ f = json.dumps(fields)
+ url = f"{base_url}/voice"
+ header = {"Content-Type": 'application/json'}
+ res = requests.post(url=url, data=f, headers=header)
+
+ fname = re.findall("filename=(.+)", res.headers["Content-Disposition"])[0]
+ if save_path is not None:
+ path = os.path.join(save_path, fname)
+ else:
+ path = os.path.join(absolute_path, fname)
+
+ with open(path, "wb") as f:
+ f.write(res.content)
+
+ if save_audio:
+ with open(path, "wb") as f:
+ f.write(res.content)
+ print(path)
+ return path
+ return None
+
+
+# Bert_vits2
+def voice_bert_vits2(text, id=0, format="wav", lang="auto", length=1, noise=0.667, noisew=0.8, segment_size=50,
+ sdp_ratio=0.2, save_audio=True, save_path=None):
+ fields = {
+ "text": text,
+ "id": str(id),
+ "format": format,
+ "lang": lang,
+ "length": str(length),
+ "noise": str(noise),
+ "noisew": str(noisew),
+ "segment_size": str(segment_size),
+ "sdp_ratio": str(sdp_ratio)
+ }
+ boundary = '----VoiceConversionFormBoundary' + ''.join(random.sample(string.ascii_letters + string.digits, 16))
+
+ m = MultipartEncoder(fields=fields, boundary=boundary)
+ headers = {"Content-Type": m.content_type}
+ url = f"{base_url}/voice/bert-vits2"
+
+ res = requests.post(url=url, data=m, headers=headers)
+ fname = re.findall("filename=(.+)", res.headers["Content-Disposition"])[0]
+ if save_path is not None:
+ path = os.path.join(save_path, fname)
+ else:
+ path = os.path.join(absolute_path, fname)
+ if save_audio:
+ with open(path, "wb") as f:
+ f.write(res.content)
+ print(path)
+ return path
+ return None
+
+
+# gpt_sovits
+def voice_gpt_sovits(text, id=0, format="wav", lang="auto", preset=None, prompt_text=None, prompt_lang="auto",
+ segment_size=50, reference_audio=None, save_audio=True, save_path=None):
+ upload_name, upload_type, upload_file = None, None, None
+ if reference_audio is not None:
+ upload_name = os.path.basename(reference_audio)
+ upload_type = f'audio/{upload_name.split(".")[1]}'
+ with open(reference_audio, 'rb') as f:
+ upload_file = f.read()
+
+ fields = {
+ "text": text,
+ "id": str(id),
+ "format": format,
+ "lang": lang,
+ "segment_size": str(segment_size),
+ "preset": preset,
+ "reference_audio": (upload_name, upload_file, upload_type) if reference_audio else None,
+ "prompt_text": prompt_text,
+ "prompt_lang": prompt_lang
+ }
+ boundary = '----VoiceConversionFormBoundary' + ''.join(random.sample(string.ascii_letters + string.digits, 16))
+
+ m = MultipartEncoder(fields=fields, boundary=boundary)
+ headers = {"Content-Type": m.content_type}
+ url = f"{base_url}/voice/gpt-sovits"
+
+ res = requests.post(url=url, data=m, headers=headers)
+ fname = re.findall("filename=(.+)", res.headers["Content-Disposition"])[0]
+ if save_path is not None:
+ path = os.path.join(save_path, fname)
+ else:
+ path = os.path.join(absolute_path, fname)
+ if save_audio:
+ with open(path, "wb") as f:
+ f.write(res.content)
+ print(path)
+ return path
+ return None
+
+
+# Reading
+def voice_reading_get(text, in_model_type, in_id, nr_model_type, nr_id, format="wav", lang="auto", preset=None,
+ save_audio=True, save_path=None):
+ res = requests.get(
+ url=f"{base_url}/voice/reading?text={text}&in_model_type={in_model_type}&in_id={in_id}&preset={preset}&nr_model_type={nr_model_type}&nr_id={nr_id}&lang={lang}&format={format}")
+
+ fname = re.findall("filename=(.+)", res.headers["Content-Disposition"])[0]
+ if save_path is not None:
+ path = os.path.join(save_path, fname)
+ else:
+ path = os.path.join(absolute_path, fname)
+
+ with open(path, "wb") as f:
+ f.write(res.content)
+
+ if save_audio:
+ with open(path, "wb") as f:
+ f.write(res.content)
+ print(path)
+ return path
+ return None
+
+
+# Reading
+def voice_reading_json(text, in_model_type, in_id, nr_model_type, nr_id, format="wav", lang="auto", preset=None,
+ save_audio=True, save_path=None):
+ fields = {
+ "text": text,
+ "in_model_type": in_model_type,
+ "in_id": str(in_id),
+ "nr_model_type": nr_model_type,
+ "nr_id": str(nr_id),
+ "format": format,
+ "lang": lang,
+ }
+ f = json.dumps(fields)
+ url = f"{base_url}/voice/reading"
+ header = {"Content-Type": 'application/json'}
+ res = requests.post(url=url, data=f, headers=header)
+
+ fname = re.findall("filename=(.+)", res.headers["Content-Disposition"])[0]
+ if save_path is not None:
+ path = os.path.join(save_path, fname)
+ else:
+ path = os.path.join(absolute_path, fname)
+
+ with open(path, "wb") as f:
+ f.write(res.content)
+
+ if save_audio:
+ with open(path, "wb") as f:
+ f.write(res.content)
+ print(path)
+ return path
+ return None
+
+
+# Reading
+def voice_reading(text, in_model_type, in_id, nr_model_type, nr_id, format="wav", lang="auto", preset=None,
+ save_audio=True, save_path=None):
+ fields = {
+ "text": text,
+ "in_model_type": in_model_type,
+ "in_id": str(in_id),
+ "nr_model_type": nr_model_type,
+ "nr_id": str(nr_id),
+ "format": format,
+ "lang": lang,
+ }
+ boundary = '----VoiceConversionFormBoundary' + ''.join(random.sample(string.ascii_letters + string.digits, 16))
+
+ m = MultipartEncoder(fields=fields, boundary=boundary)
+ headers = {"Content-Type": m.content_type}
+ url = f"{base_url}/voice/reading"
+
+ res = requests.post(url=url, data=m, headers=headers)
+ fname = re.findall("filename=(.+)", res.headers["Content-Disposition"])[0]
+ if save_path is not None:
+ path = os.path.join(save_path, fname)
+ else:
+ path = os.path.join(absolute_path, fname)
+ if save_audio:
+ with open(path, "wb") as f:
+ f.write(res.content)
+ print(path)
+ return path
+ return None
+
+
+def test_interface(text):
+ error_num = 0
+ for i in range(100):
+ try:
+ time.sleep(1)
+ t1 = time.time()
+ voice_vits(text, format="wav", lang="zh", save_audio=False)
+ t2 = time.time()
+ print(f"{i}:len:{len(text)}耗时:{t2 - t1}")
+ except Exception as e:
+ error_num += 1
+ print(e)
+ print(f"error_num={error_num}")
+
+
+if __name__ == '__main__':
+ cache_path = os.path.join(os.path.curdir, "cache")
+
+ text = "你好,こんにちは"
+
+ ssml = """
+
+ 这几天心里颇不宁静。
+ 今晚在院子里坐着乘凉，忽然想起日日走过的荷塘，在这满月的光里，总该另有一番样子吧。
+ 月亮渐渐地升高了，墙外马路上孩子们的欢笑，已经听不见了；
+ 妻在屋里拍着闰儿，迷迷糊糊地哼着眠歌。
+ 我悄悄地披了大衫，带上门出去。
+ 沿着荷塘，是一条曲折的小煤屑路。
+ 这是一条幽僻的路；白天也少人走，夜晚更加寂寞。
+ 荷塘四面，长着许多树，蓊蓊郁郁的。
+ 路的一旁，是些杨柳，和一些不知道名字的树。
+ 没有月光的晚上，这路上阴森森的，有些怕人。
+ 今晚却很好，虽然月光也还是淡淡的。
+ 路上只我一个人，背着手踱着。
+ 这一片天地好像是我的；我也像超出了平常的自己，到了另一个世界里。
+ 我爱热闹，也爱冷静；爱群居，也爱独处。
+ 像今晚上，一个人在这苍茫的月下，什么都可以想，什么都可以不想，便觉是个自由的人。
+ 白天里一定要做的事，一定要说的话，现在都可不理。
+ 这是独处的妙处，我且受用这无边的荷香月色好了。
+
+ """
+
+ # path = voice_vits(text, save_path=cache_path)
+ # path =voice_vits_streaming(text, save_path=cache_path)
+ # path = voice_w2v2_vits(text, save_path=cache_path)
+ # path = voice_conversion(path, 1, 3, save_path=cache_path)
+ # path = voice_hubert_vits(path, 0, save_path=cache_path)
+ # path = voice_dimensional_emotion(path, save_path=cache_path)
+ # path = voice_ssml(ssml, save_path=cache_path)
+ # path = voice_bert_vits2("你好", lang="zh", save_path=cache_path)
+ # path = voice_bert_vits2("こんにちは", lang="ja", save_path=cache_path)
+ # path = voice_gpt_sovits(text=text, id=2, preset="wz")
+ # path = voice_gpt_sovits(text=text, id=2, reference_audio=r"H:\git\vits-simple-api\data\reference_audio\wz_10068.wav",prompt_text="……嗯……大概、快上课的时候开始的。到这个程度的话，……半个小时吧？")
+
+ # os.system(path)
+
+ # text = "你好“你的修炼速度有些出乎我的意料”"
+ # path = voice_reading_json(text=text, in_model_type="GPT-SOVITS", preset="wz", in_id=2, nr_model_type="BERT-VITS2",
+ # nr_id=0)
+
+ # os.system(path)
diff --git a/app.py b/app.py
new file mode 100644
index 0000000000000000000000000000000000000000..333d0ddd7eedd00cf00da12ef60431e4e1d762c7
--- /dev/null
+++ b/app.py
@@ -0,0 +1,74 @@
+import os.path
+
+from flask import Flask
+from flask_apscheduler import APScheduler
+from flask_login import LoginManager
+from flask_wtf import CSRFProtect
+
+from utils.data_utils import clean_folder
+from utils.phrases_dict import phrases_dict_init
+from tts_app.frontend.views import frontend
+from tts_app.voice_api.views import voice_api
+from tts_app.auth.views import auth
+from tts_app.admin.views import admin
+
+from contants import config
+
+app = Flask(__name__, template_folder=os.path.join(os.path.dirname(__file__), 'tts_app', 'templates'),
+ static_folder=os.path.join(os.path.dirname(__file__), 'tts_app', 'static'))
+
+app.config.from_pyfile("config.py")
+# app.config.update(config)
+
+phrases_dict_init()
+
+csrf = CSRFProtect(app)
+# 禁用tts api请求的CSRF防护
+csrf.exempt(voice_api)
+
+if config.system.is_admin_enabled:
+ login_manager = LoginManager()
+ login_manager.init_app(app)
+ login_manager.login_view = 'auth.login'
+
+
+ @login_manager.user_loader
+ def load_user(user_id):
+ admin = config.admin
+ if admin.get_id() == user_id:
+ return admin
+ return None
+
+# Initialize scheduler
+scheduler = APScheduler()
+scheduler.init_app(app)
+if config.system.clean_interval_seconds > 0:
+ scheduler.start()
+
+app.register_blueprint(frontend, url_prefix='/')
+app.register_blueprint(voice_api, url_prefix='/voice')
+if config.system.is_admin_enabled:
+ app.register_blueprint(auth, url_prefix=config.system.admin_route)
+ app.register_blueprint(admin, url_prefix=config.system.admin_route)
+
+
+def create_folders(paths):
+ for path in paths:
+ if not os.path.exists(path):
+ os.makedirs(path, exist_ok=True)
+
+
+create_folders([os.path.join(config.abs_path, config.system.upload_folder),
+ os.path.join(config.abs_path, config.system.cache_path), ])
+
+
+# regular cleaning
+@scheduler.task('interval', id='clean_task', seconds=config.system.clean_interval_seconds,
+ misfire_grace_time=900)
+def clean_task():
+ clean_folder(os.path.join(config.abs_path, config.system.upload_folder))
+ clean_folder(os.path.join(config.abs_path, config.system.cache_path))
+
+
+if __name__ == '__main__':
+ app.run(host=config.http_service.host, port=config.http_service.port, debug=config.http_service.debug)
diff --git a/bert_vits2/LICENSE b/bert_vits2/LICENSE
new file mode 100644
index 0000000000000000000000000000000000000000..f288702d2fa16d3cdf0035b15a9fcbc552cd88e7
--- /dev/null
+++ b/bert_vits2/LICENSE
@@ -0,0 +1,674 @@
+ GNU GENERAL PUBLIC LICENSE
+ Version 3, 29 June 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc.
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+ Preamble
+
+ The GNU General Public License is a free, copyleft license for
+software and other kinds of works.
+
+ The licenses for most software and other practical works are designed
+to take away your freedom to share and change the works. By contrast,
+the GNU General Public License is intended to guarantee your freedom to
+share and change all versions of a program--to make sure it remains free
+software for all its users. We, the Free Software Foundation, use the
+GNU General Public License for most of our software; it applies also to
+any other work released this way by its authors. You can apply it to
+your programs, too.
+
+ When we speak of free software, we are referring to freedom, not
+price. Our General Public Licenses are designed to make sure that you
+have the freedom to distribute copies of free software (and charge for
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+
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+.
diff --git a/bert_vits2/README.md b/bert_vits2/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..2d2c104fed4165f60ab2940f4642e36230e12e32
--- /dev/null
+++ b/bert_vits2/README.md
@@ -0,0 +1,5 @@
+# Bert-VITS2
+
+VITS2 Backbone with bert
+## 成熟的旅行者/开拓者/舰长/博士/sensei/猎魔人/喵喵露/V应该参阅代码自己学习如何训练。
+### 严禁将此项目用于一切违反《中华人民共和国宪法》，《中华人民共和国刑法》，《中华人民共和国治安管理处罚法》和《中华人民共和国民法典》之用途。
\ No newline at end of file
diff --git a/bert_vits2/__init__.py b/bert_vits2/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..d3d019aa31cbe7a5333aa00a110ddf9ae58e2d7a
--- /dev/null
+++ b/bert_vits2/__init__.py
@@ -0,0 +1,2 @@
+from bert_vits2.bert_vits2 import Bert_VITS2
+from bert_vits2 import text
diff --git a/bert_vits2/attentions.py b/bert_vits2/attentions.py
new file mode 100644
index 0000000000000000000000000000000000000000..a027094134d617b3d1493e3d6981ca7825972fc6
--- /dev/null
+++ b/bert_vits2/attentions.py
@@ -0,0 +1,352 @@
+import math
+import torch
+from torch import nn
+from torch.nn import functional as F
+from bert_vits2 import commons
+from torch.nn.utils import weight_norm, remove_weight_norm
+
+
+class LayerNorm(nn.Module):
+ def __init__(self, channels, eps=1e-5):
+ super().__init__()
+ self.channels = channels
+ self.eps = eps
+
+ self.gamma = nn.Parameter(torch.ones(channels))
+ self.beta = nn.Parameter(torch.zeros(channels))
+
+ def forward(self, x):
+ x = x.transpose(1, -1)
+ x = F.layer_norm(x, (self.channels,), self.gamma, self.beta, self.eps)
+ return x.transpose(1, -1)
+
+
+@torch.jit.script
+def fused_add_tanh_sigmoid_multiply(input_a, input_b, n_channels):
+ n_channels_int = n_channels[0]
+ in_act = input_a + input_b
+ t_act = torch.tanh(in_act[:, :n_channels_int, :])
+ s_act = torch.sigmoid(in_act[:, n_channels_int:, :])
+ acts = t_act * s_act
+ return acts
+
+
+class Encoder(nn.Module):
+ def __init__(self, hidden_channels, filter_channels, n_heads, n_layers, kernel_size=1, p_dropout=0., window_size=4,
+ isflow=True, **kwargs):
+ super().__init__()
+ self.hidden_channels = hidden_channels
+ self.filter_channels = filter_channels
+ self.n_heads = n_heads
+ self.n_layers = n_layers
+ self.kernel_size = kernel_size
+ self.p_dropout = p_dropout
+ self.window_size = window_size
+ # if isflow:
+ # cond_layer = torch.nn.Conv1d(256, 2 * hidden_channels * n_layers, 1)
+ # self.cond_pre = torch.nn.Conv1d(hidden_channels, 2 * hidden_channels, 1)
+ # self.cond_layer = weight_norm(cond_layer, name='weight')
+ # self.gin_channels = 256
+ self.cond_layer_idx = self.n_layers
+ if 'gin_channels' in kwargs:
+ self.gin_channels = kwargs['gin_channels']
+ if self.gin_channels != 0:
+ self.spk_emb_linear = nn.Linear(self.gin_channels, self.hidden_channels)
+ # vits2 says 3rd block, so idx is 2 by default
+ self.cond_layer_idx = kwargs['cond_layer_idx'] if 'cond_layer_idx' in kwargs else 2
+ # print(self.gin_channels, self.cond_layer_idx)
+ assert self.cond_layer_idx < self.n_layers, 'cond_layer_idx should be less than n_layers'
+ self.drop = nn.Dropout(p_dropout)
+ self.attn_layers = nn.ModuleList()
+ self.norm_layers_1 = nn.ModuleList()
+ self.ffn_layers = nn.ModuleList()
+ self.norm_layers_2 = nn.ModuleList()
+ for i in range(self.n_layers):
+ self.attn_layers.append(MultiHeadAttention(hidden_channels, hidden_channels, n_heads, p_dropout=p_dropout,
+ window_size=window_size))
+ self.norm_layers_1.append(LayerNorm(hidden_channels))
+ self.ffn_layers.append(
+ FFN(hidden_channels, hidden_channels, filter_channels, kernel_size, p_dropout=p_dropout))
+ self.norm_layers_2.append(LayerNorm(hidden_channels))
+
+ def forward(self, x, x_mask, g=None):
+ attn_mask = x_mask.unsqueeze(2) * x_mask.unsqueeze(-1)
+ x = x * x_mask
+ for i in range(self.n_layers):
+ if i == self.cond_layer_idx and g is not None:
+ g = self.spk_emb_linear(g.transpose(1, 2))
+ g = g.transpose(1, 2)
+ x = x + g
+ x = x * x_mask
+ y = self.attn_layers[i](x, x, attn_mask)
+ y = self.drop(y)
+ x = self.norm_layers_1[i](x + y)
+
+ y = self.ffn_layers[i](x, x_mask)
+ y = self.drop(y)
+ x = self.norm_layers_2[i](x + y)
+ x = x * x_mask
+ return x
+
+
+class Decoder(nn.Module):
+ def __init__(self, hidden_channels, filter_channels, n_heads, n_layers, kernel_size=1, p_dropout=0.,
+ proximal_bias=False, proximal_init=True, **kwargs):
+ super().__init__()
+ self.hidden_channels = hidden_channels
+ self.filter_channels = filter_channels
+ self.n_heads = n_heads
+ self.n_layers = n_layers
+ self.kernel_size = kernel_size
+ self.p_dropout = p_dropout
+ self.proximal_bias = proximal_bias
+ self.proximal_init = proximal_init
+
+ self.drop = nn.Dropout(p_dropout)
+ self.self_attn_layers = nn.ModuleList()
+ self.norm_layers_0 = nn.ModuleList()
+ self.encdec_attn_layers = nn.ModuleList()
+ self.norm_layers_1 = nn.ModuleList()
+ self.ffn_layers = nn.ModuleList()
+ self.norm_layers_2 = nn.ModuleList()
+ for i in range(self.n_layers):
+ self.self_attn_layers.append(
+ MultiHeadAttention(hidden_channels, hidden_channels, n_heads, p_dropout=p_dropout,
+ proximal_bias=proximal_bias, proximal_init=proximal_init))
+ self.norm_layers_0.append(LayerNorm(hidden_channels))
+ self.encdec_attn_layers.append(
+ MultiHeadAttention(hidden_channels, hidden_channels, n_heads, p_dropout=p_dropout))
+ self.norm_layers_1.append(LayerNorm(hidden_channels))
+ self.ffn_layers.append(
+ FFN(hidden_channels, hidden_channels, filter_channels, kernel_size, p_dropout=p_dropout, causal=True))
+ self.norm_layers_2.append(LayerNorm(hidden_channels))
+
+ def forward(self, x, x_mask, h, h_mask):
+ """
+ x: decoder input
+ h: encoder output
+ """
+ self_attn_mask = commons.subsequent_mask(x_mask.size(2)).to(device=x.device, dtype=x.dtype)
+ encdec_attn_mask = h_mask.unsqueeze(2) * x_mask.unsqueeze(-1)
+ x = x * x_mask
+ for i in range(self.n_layers):
+ y = self.self_attn_layers[i](x, x, self_attn_mask)
+ y = self.drop(y)
+ x = self.norm_layers_0[i](x + y)
+
+ y = self.encdec_attn_layers[i](x, h, encdec_attn_mask)
+ y = self.drop(y)
+ x = self.norm_layers_1[i](x + y)
+
+ y = self.ffn_layers[i](x, x_mask)
+ y = self.drop(y)
+ x = self.norm_layers_2[i](x + y)
+ x = x * x_mask
+ return x
+
+
+class MultiHeadAttention(nn.Module):
+ def __init__(self, channels, out_channels, n_heads, p_dropout=0., window_size=None, heads_share=True,
+ block_length=None, proximal_bias=False, proximal_init=False):
+ super().__init__()
+ assert channels % n_heads == 0
+
+ self.channels = channels
+ self.out_channels = out_channels
+ self.n_heads = n_heads
+ self.p_dropout = p_dropout
+ self.window_size = window_size
+ self.heads_share = heads_share
+ self.block_length = block_length
+ self.proximal_bias = proximal_bias
+ self.proximal_init = proximal_init
+ self.attn = None
+
+ self.k_channels = channels // n_heads
+ self.conv_q = nn.Conv1d(channels, channels, 1)
+ self.conv_k = nn.Conv1d(channels, channels, 1)
+ self.conv_v = nn.Conv1d(channels, channels, 1)
+ self.conv_o = nn.Conv1d(channels, out_channels, 1)
+ self.drop = nn.Dropout(p_dropout)
+
+ if window_size is not None:
+ n_heads_rel = 1 if heads_share else n_heads
+ rel_stddev = self.k_channels ** -0.5
+ self.emb_rel_k = nn.Parameter(torch.randn(n_heads_rel, window_size * 2 + 1, self.k_channels) * rel_stddev)
+ self.emb_rel_v = nn.Parameter(torch.randn(n_heads_rel, window_size * 2 + 1, self.k_channels) * rel_stddev)
+
+ nn.init.xavier_uniform_(self.conv_q.weight)
+ nn.init.xavier_uniform_(self.conv_k.weight)
+ nn.init.xavier_uniform_(self.conv_v.weight)
+ if proximal_init:
+ with torch.no_grad():
+ self.conv_k.weight.copy_(self.conv_q.weight)
+ self.conv_k.bias.copy_(self.conv_q.bias)
+
+ def forward(self, x, c, attn_mask=None):
+ q = self.conv_q(x)
+ k = self.conv_k(c)
+ v = self.conv_v(c)
+
+ x, self.attn = self.attention(q, k, v, mask=attn_mask)
+
+ x = self.conv_o(x)
+ return x
+
+ def attention(self, query, key, value, mask=None):
+ # reshape [b, d, t] -> [b, n_h, t, d_k]
+ b, d, t_s, t_t = (*key.size(), query.size(2))
+ query = query.view(b, self.n_heads, self.k_channels, t_t).transpose(2, 3)
+ key = key.view(b, self.n_heads, self.k_channels, t_s).transpose(2, 3)
+ value = value.view(b, self.n_heads, self.k_channels, t_s).transpose(2, 3)
+
+ scores = torch.matmul(query / math.sqrt(self.k_channels), key.transpose(-2, -1))
+ if self.window_size is not None:
+ assert t_s == t_t, "Relative attention is only available for self-attention."
+ key_relative_embeddings = self._get_relative_embeddings(self.emb_rel_k, t_s)
+ rel_logits = self._matmul_with_relative_keys(query / math.sqrt(self.k_channels), key_relative_embeddings)
+ scores_local = self._relative_position_to_absolute_position(rel_logits)
+ scores = scores + scores_local
+ if self.proximal_bias:
+ assert t_s == t_t, "Proximal bias is only available for self-attention."
+ scores = scores + self._attention_bias_proximal(t_s).to(device=scores.device, dtype=scores.dtype)
+ if mask is not None:
+ scores = scores.masked_fill(mask == 0, -1e4)
+ if self.block_length is not None:
+ assert t_s == t_t, "Local attention is only available for self-attention."
+ block_mask = torch.ones_like(scores).triu(-self.block_length).tril(self.block_length)
+ scores = scores.masked_fill(block_mask == 0, -1e4)
+ p_attn = F.softmax(scores, dim=-1) # [b, n_h, t_t, t_s]
+ p_attn = self.drop(p_attn)
+ output = torch.matmul(p_attn, value)
+ if self.window_size is not None:
+ relative_weights = self._absolute_position_to_relative_position(p_attn)
+ value_relative_embeddings = self._get_relative_embeddings(self.emb_rel_v, t_s)
+ output = output + self._matmul_with_relative_values(relative_weights, value_relative_embeddings)
+ output = output.transpose(2, 3).contiguous().view(b, d, t_t) # [b, n_h, t_t, d_k] -> [b, d, t_t]
+ return output, p_attn
+
+ def _matmul_with_relative_values(self, x, y):
+ """
+ x: [b, h, l, m]
+ y: [h or 1, m, d]
+ ret: [b, h, l, d]
+ """
+ ret = torch.matmul(x, y.unsqueeze(0))
+ return ret
+
+ def _matmul_with_relative_keys(self, x, y):
+ """
+ x: [b, h, l, d]
+ y: [h or 1, m, d]
+ ret: [b, h, l, m]
+ """
+ ret = torch.matmul(x, y.unsqueeze(0).transpose(-2, -1))
+ return ret
+
+ def _get_relative_embeddings(self, relative_embeddings, length):
+ max_relative_position = 2 * self.window_size + 1
+ # Pad first before slice to avoid using cond ops.
+ pad_length = max(length - (self.window_size + 1), 0)
+ slice_start_position = max((self.window_size + 1) - length, 0)
+ slice_end_position = slice_start_position + 2 * length - 1
+ if pad_length > 0:
+ padded_relative_embeddings = F.pad(
+ relative_embeddings,
+ commons.convert_pad_shape([[0, 0], [pad_length, pad_length], [0, 0]]))
+ else:
+ padded_relative_embeddings = relative_embeddings
+ used_relative_embeddings = padded_relative_embeddings[:, slice_start_position:slice_end_position]
+ return used_relative_embeddings
+
+ def _relative_position_to_absolute_position(self, x):
+ """
+ x: [b, h, l, 2*l-1]
+ ret: [b, h, l, l]
+ """
+ batch, heads, length, _ = x.size()
+ # Concat columns of pad to shift from relative to absolute indexing.
+ x = F.pad(x, commons.convert_pad_shape([[0, 0], [0, 0], [0, 0], [0, 1]]))
+
+ # Concat extra elements so to add up to shape (len+1, 2*len-1).
+ x_flat = x.view([batch, heads, length * 2 * length])
+ x_flat = F.pad(x_flat, commons.convert_pad_shape([[0, 0], [0, 0], [0, length - 1]]))
+
+ # Reshape and slice out the padded elements.
+ x_final = x_flat.view([batch, heads, length + 1, 2 * length - 1])[:, :, :length, length - 1:]
+ return x_final
+
+ def _absolute_position_to_relative_position(self, x):
+ """
+ x: [b, h, l, l]
+ ret: [b, h, l, 2*l-1]
+ """
+ batch, heads, length, _ = x.size()
+ # padd along column
+ x = F.pad(x, commons.convert_pad_shape([[0, 0], [0, 0], [0, 0], [0, length - 1]]))
+ x_flat = x.view([batch, heads, length ** 2 + length * (length - 1)])
+ # add 0's in the beginning that will skew the elements after reshape
+ x_flat = F.pad(x_flat, commons.convert_pad_shape([[0, 0], [0, 0], [length, 0]]))
+ x_final = x_flat.view([batch, heads, length, 2 * length])[:, :, :, 1:]
+ return x_final
+
+ def _attention_bias_proximal(self, length):
+ """Bias for self-attention to encourage attention to close positions.
+ Args:
+ length: an integer scalar.
+ Returns:
+ a Tensor with shape [1, 1, length, length]
+ """
+ r = torch.arange(length, dtype=torch.float32)
+ diff = torch.unsqueeze(r, 0) - torch.unsqueeze(r, 1)
+ return torch.unsqueeze(torch.unsqueeze(-torch.log1p(torch.abs(diff)), 0), 0)
+
+
+class FFN(nn.Module):
+ def __init__(self, in_channels, out_channels, filter_channels, kernel_size, p_dropout=0., activation=None,
+ causal=False):
+ super().__init__()
+ self.in_channels = in_channels
+ self.out_channels = out_channels
+ self.filter_channels = filter_channels
+ self.kernel_size = kernel_size
+ self.p_dropout = p_dropout
+ self.activation = activation
+ self.causal = causal
+
+ if causal:
+ self.padding = self._causal_padding
+ else:
+ self.padding = self._same_padding
+
+ self.conv_1 = nn.Conv1d(in_channels, filter_channels, kernel_size)
+ self.conv_2 = nn.Conv1d(filter_channels, out_channels, kernel_size)
+ self.drop = nn.Dropout(p_dropout)
+
+ def forward(self, x, x_mask):
+ x = self.conv_1(self.padding(x * x_mask))
+ if self.activation == "gelu":
+ x = x * torch.sigmoid(1.702 * x)
+ else:
+ x = torch.relu(x)
+ x = self.drop(x)
+ x = self.conv_2(self.padding(x * x_mask))
+ return x * x_mask
+
+ def _causal_padding(self, x):
+ if self.kernel_size == 1:
+ return x
+ pad_l = self.kernel_size - 1
+ pad_r = 0
+ padding = [[0, 0], [0, 0], [pad_l, pad_r]]
+ x = F.pad(x, commons.convert_pad_shape(padding))
+ return x
+
+ def _same_padding(self, x):
+ if self.kernel_size == 1:
+ return x
+ pad_l = (self.kernel_size - 1) // 2
+ pad_r = self.kernel_size // 2
+ padding = [[0, 0], [0, 0], [pad_l, pad_r]]
+ x = F.pad(x, commons.convert_pad_shape(padding))
+ return x
diff --git a/bert_vits2/bert_vits2.py b/bert_vits2/bert_vits2.py
new file mode 100644
index 0000000000000000000000000000000000000000..72ef626f280c371141af05a1363cd429a7221c07
--- /dev/null
+++ b/bert_vits2/bert_vits2.py
@@ -0,0 +1,403 @@
+import logging
+
+import numpy as np
+import torch
+
+from bert_vits2 import commons
+from bert_vits2 import utils as bert_vits2_utils
+from bert_vits2.clap_wrapper import get_clap_audio_feature, get_clap_text_feature
+from bert_vits2.get_emo import get_emo
+from bert_vits2.models import SynthesizerTrn
+from bert_vits2.models_v230 import SynthesizerTrn as SynthesizerTrn_v230
+from bert_vits2.models_ja_extra import SynthesizerTrn as SynthesizerTrn_ja_extra
+from bert_vits2.text import *
+from bert_vits2.text.cleaner import clean_text
+from bert_vits2.utils import process_legacy_versions
+from contants import config
+from utils import get_hparams_from_file
+from utils.sentence import split_languages
+
+
+class Bert_VITS2:
+ def __init__(self, model_path, config, device=torch.device("cpu"), **kwargs):
+ self.model_path = model_path
+ self.hps_ms = get_hparams_from_file(config) if isinstance(config, str) else config
+ self.n_speakers = getattr(self.hps_ms.data, 'n_speakers', 0)
+ self.speakers = [item[0] for item in
+ sorted(list(getattr(self.hps_ms.data, 'spk2id', {'0': 0}).items()), key=lambda x: x[1])]
+ self.symbols = symbols
+ self.sampling_rate = self.hps_ms.data.sampling_rate
+
+ self.bert_model_names = {}
+ self.zh_bert_extra = False
+ self.ja_bert_extra = False
+ self.ja_bert_dim = 1024
+ self.num_tones = num_tones
+ self.pinyinPlus = None
+
+ # Compatible with legacy versions
+ self.version = process_legacy_versions(self.hps_ms).lower().replace("-", "_")
+ self.text_extra_str_map = {"zh": "", "ja": "", "en": ""}
+ self.bert_extra_str_map = {"zh": "", "ja": "", "en": ""}
+ self.hps_ms.model.emotion_embedding = None
+ if self.version in ["1.0", "1.0.0", "1.0.1"]:
+ """
+ chinese-roberta-wwm-ext-large
+ """
+ self.version = "1.0"
+ self.symbols = symbols_legacy
+ self.hps_ms.model.n_layers_trans_flow = 3
+ self.lang = getattr(self.hps_ms.data, "lang", ["zh"])
+ self.ja_bert_dim = 768
+ self.num_tones = num_tones_v111
+ self.text_extra_str_map.update({"zh": "_v100"})
+
+ elif self.version in ["1.1.0-transition"]:
+ """
+ chinese-roberta-wwm-ext-large
+ """
+ self.version = "1.1.0-transition"
+ self.hps_ms.model.n_layers_trans_flow = 3
+ self.lang = getattr(self.hps_ms.data, "lang", ["zh", "ja"])
+ self.ja_bert_dim = 768
+ self.num_tones = num_tones_v111
+ if "ja" in self.lang: self.bert_model_names.update({"ja": "BERT_BASE_JAPANESE_V3"})
+ self.text_extra_str_map.update({"zh": "_v100", "ja": "_v111"})
+ self.bert_extra_str_map.update({"ja": "_v111"})
+
+ elif self.version in ["1.1", "1.1.0", "1.1.1"]:
+ """
+ chinese-roberta-wwm-ext-large
+ bert-base-japanese-v3
+ """
+ self.version = "1.1"
+ self.hps_ms.model.n_layers_trans_flow = 6
+ self.lang = getattr(self.hps_ms.data, "lang", ["zh", "ja"])
+ self.ja_bert_dim = 768
+ self.num_tones = num_tones_v111
+ if "ja" in self.lang: self.bert_model_names.update({"ja": "BERT_BASE_JAPANESE_V3"})
+ self.text_extra_str_map.update({"zh": "_v100", "ja": "_v111"})
+ self.bert_extra_str_map.update({"ja": "_v111"})
+
+ elif self.version in ["2.0", "2.0.0", "2.0.1", "2.0.2"]:
+ """
+ chinese-roberta-wwm-ext-large
+ deberta-v2-large-japanese
+ deberta-v3-large
+ """
+ self.version = "2.0"
+ self.hps_ms.model.n_layers_trans_flow = 4
+ self.lang = getattr(self.hps_ms.data, "lang", ["zh", "ja", "en"])
+ self.num_tones = num_tones
+ if "ja" in self.lang: self.bert_model_names.update({"ja": "DEBERTA_V2_LARGE_JAPANESE"})
+ if "en" in self.lang: self.bert_model_names.update({"en": "DEBERTA_V3_LARGE"})
+ self.text_extra_str_map.update({"zh": "_v100", "ja": "_v200", "en": "_v200"})
+ self.bert_extra_str_map.update({"ja": "_v200", "en": "_v200"})
+
+ elif self.version in ["2.1", "2.1.0"]:
+ """
+ chinese-roberta-wwm-ext-large
+ deberta-v2-large-japanese-char-wwm
+ deberta-v3-large
+ wav2vec2-large-robust-12-ft-emotion-msp-dim
+ """
+ self.version = "2.1"
+ self.hps_ms.model.n_layers_trans_flow = 4
+ self.hps_ms.model.emotion_embedding = 1
+ self.lang = getattr(self.hps_ms.data, "lang", ["zh", "ja", "en"])
+ self.num_tones = num_tones
+ if "ja" in self.lang: self.bert_model_names.update({"ja": "DEBERTA_V2_LARGE_JAPANESE_CHAR_WWM"})
+ if "en" in self.lang: self.bert_model_names.update({"en": "DEBERTA_V3_LARGE"})
+
+ elif self.version in ["2.2", "2.2.0"]:
+ """
+ chinese-roberta-wwm-ext-large
+ deberta-v2-large-japanese-char-wwm
+ deberta-v3-large
+ clap-htsat-fused
+ """
+ self.version = "2.2"
+ self.hps_ms.model.n_layers_trans_flow = 4
+ self.hps_ms.model.emotion_embedding = 2
+ self.lang = getattr(self.hps_ms.data, "lang", ["zh", "ja", "en"])
+ self.num_tones = num_tones
+ if "ja" in self.lang: self.bert_model_names.update({"ja": "DEBERTA_V2_LARGE_JAPANESE_CHAR_WWM"})
+ if "en" in self.lang: self.bert_model_names.update({"en": "DEBERTA_V3_LARGE"})
+
+ elif self.version in ["2.3", "2.3.0"]:
+ """
+ chinese-roberta-wwm-ext-large
+ deberta-v2-large-japanese-char-wwm
+ deberta-v3-large
+ """
+ self.version = "2.3"
+ self.lang = getattr(self.hps_ms.data, "lang", ["zh", "ja", "en"])
+ self.num_tones = num_tones
+ self.text_extra_str_map.update({"en": "_v230"})
+ if "ja" in self.lang: self.bert_model_names.update({"ja": "DEBERTA_V2_LARGE_JAPANESE_CHAR_WWM"})
+ if "en" in self.lang: self.bert_model_names.update({"en": "DEBERTA_V3_LARGE"})
+
+ elif self.version is not None and self.version in ["extra", "zh_clap"]:
+ """
+ Erlangshen-MegatronBert-1.3B-Chinese
+ clap-htsat-fused
+ """
+ self.version = "extra"
+ self.hps_ms.model.emotion_embedding = 2
+ self.hps_ms.model.n_layers_trans_flow = 6
+ self.lang = ["zh"]
+ self.num_tones = num_tones
+ self.zh_bert_extra = True
+ self.bert_model_names.update({"zh": "Erlangshen_MegatronBert_1.3B_Chinese"})
+ self.bert_extra_str_map.update({"zh": "_extra"})
+
+ elif self.version is not None and self.version in ["extra_fix", "2.4", "2.4.0"]:
+ """
+ Erlangshen-MegatronBert-1.3B-Chinese
+ clap-htsat-fused
+ """
+ self.version = "2.4"
+ self.hps_ms.model.emotion_embedding = 2
+ self.hps_ms.model.n_layers_trans_flow = 6
+ self.lang = ["zh"]
+ self.num_tones = num_tones
+ self.zh_bert_extra = True
+ self.bert_model_names.update({"zh": "Erlangshen_MegatronBert_1.3B_Chinese"})
+ self.bert_extra_str_map.update({"zh": "_extra"})
+ self.text_extra_str_map.update({"zh": "_v240"})
+
+ elif self.version is not None and self.version in ["ja_extra"]:
+ """
+ deberta-v2-large-japanese-char-wwm
+ """
+ self.version = "ja_extra"
+ self.hps_ms.model.emotion_embedding = 2
+ self.hps_ms.model.n_layers_trans_flow = 6
+ self.lang = ["ja"]
+ self.num_tones = num_tones
+ self.ja_bert_extra = True
+ self.bert_model_names.update({"ja": "DEBERTA_V2_LARGE_JAPANESE_CHAR_WWM"})
+ self.bert_extra_str_map.update({"ja": "_extra"})
+ self.text_extra_str_map.update({"ja": "_extra"})
+
+ else:
+ logging.debug("Version information not found. Loaded as the newest version: v2.3.")
+ self.version = "2.3"
+ self.lang = getattr(self.hps_ms.data, "lang", ["zh", "ja", "en"])
+ self.num_tones = num_tones
+ self.text_extra_str_map.update({"en": "_v230"})
+ if "ja" in self.lang: self.bert_model_names.update({"ja": "DEBERTA_V2_LARGE_JAPANESE_CHAR_WWM"})
+ if "en" in self.lang: self.bert_model_names.update({"en": "DEBERTA_V3_LARGE"})
+
+ if "zh" in self.lang and "zh" not in self.bert_model_names.keys():
+ self.bert_model_names.update({"zh": "CHINESE_ROBERTA_WWM_EXT_LARGE"})
+
+ self._symbol_to_id = {s: i for i, s in enumerate(self.symbols)}
+
+ self.device = device
+
+ def load_model(self, model_handler):
+ self.model_handler = model_handler
+
+ if self.version in ["2.3", "extra", "2.4"]:
+ Synthesizer = SynthesizerTrn_v230
+ elif self.version == "ja_extra":
+ Synthesizer = SynthesizerTrn_ja_extra
+ else:
+ Synthesizer = SynthesizerTrn
+
+ if self.version == "2.4":
+ self.pinyinPlus = self.model_handler.get_pinyinPlus()
+ self.net_g = Synthesizer(
+ len(self.symbols),
+ self.hps_ms.data.filter_length // 2 + 1,
+ self.hps_ms.train.segment_size // self.hps_ms.data.hop_length,
+ n_speakers=self.hps_ms.data.n_speakers,
+ symbols=self.symbols,
+ ja_bert_dim=self.ja_bert_dim,
+ num_tones=self.num_tones,
+ zh_bert_extra=self.zh_bert_extra,
+ **self.hps_ms.model).to(self.device)
+ _ = self.net_g.eval()
+ bert_vits2_utils.load_checkpoint(self.model_path, self.net_g, None, skip_optimizer=True, version=self.version)
+
+ def get_speakers(self):
+ return self.speakers
+
+ def get_text(self, text, language_str, hps, style_text=None, style_weight=0.7):
+ clean_text_lang_str = language_str + self.text_extra_str_map.get(language_str, "")
+ bert_feature_lang_str = language_str + self.bert_extra_str_map.get(language_str, "")
+
+ tokenizer, _ = self.model_handler.get_bert_model(self.bert_model_names[language_str])
+
+ norm_text, phone, tone, word2ph = clean_text(text, clean_text_lang_str, tokenizer, self.pinyinPlus)
+
+ phone, tone, language = cleaned_text_to_sequence(phone, tone, language_str, self._symbol_to_id)
+
+ if hps.data.add_blank:
+ phone = commons.intersperse(phone, 0)
+ tone = commons.intersperse(tone, 0)
+ language = commons.intersperse(language, 0)
+ for i in range(len(word2ph)):
+ word2ph[i] = word2ph[i] * 2
+ word2ph[0] += 1
+
+ if style_text == "" or self.zh_bert_extra:
+ style_text = None
+
+ bert = self.model_handler.get_bert_feature(norm_text, word2ph, bert_feature_lang_str,
+ self.bert_model_names[language_str], style_text, style_weight)
+ del word2ph
+ assert bert.shape[-1] == len(phone), phone
+
+ if self.zh_bert_extra:
+ zh_bert = bert
+ ja_bert, en_bert = None, None
+ elif self.ja_bert_extra:
+ ja_bert = bert
+ zh_bert, en_bert = None, None
+ elif language_str == "zh":
+ zh_bert = bert
+ ja_bert = torch.zeros(self.ja_bert_dim, len(phone))
+ en_bert = torch.zeros(1024, len(phone))
+ elif language_str == "ja":
+ zh_bert = torch.zeros(1024, len(phone))
+ ja_bert = bert
+ en_bert = torch.zeros(1024, len(phone))
+ elif language_str == "en":
+ zh_bert = torch.zeros(1024, len(phone))
+ ja_bert = torch.zeros(self.ja_bert_dim, len(phone))
+ en_bert = bert
+ else:
+ zh_bert = torch.zeros(1024, len(phone))
+ ja_bert = torch.zeros(self.ja_bert_dim, len(phone))
+ en_bert = torch.zeros(1024, len(phone))
+ assert bert.shape[-1] == len(
+ phone
+ ), f"Bert seq len {bert.shape[-1]} != {len(phone)}"
+ phone = torch.LongTensor(phone)
+ tone = torch.LongTensor(tone)
+ language = torch.LongTensor(language)
+ return zh_bert, ja_bert, en_bert, phone, tone, language
+
+ def _get_emo(self, reference_audio, emotion):
+ if reference_audio:
+ emo = torch.from_numpy(
+ get_emo(reference_audio, self.model_handler.emotion_model,
+ self.model_handler.emotion_processor))
+ else:
+ if emotion is None: emotion = 0
+ emo = torch.Tensor([emotion])
+
+ return emo
+
+ def _get_clap(self, reference_audio, text_prompt):
+ if isinstance(reference_audio, np.ndarray):
+ emo = get_clap_audio_feature(reference_audio, self.model_handler.clap_model,
+ self.model_handler.clap_processor, self.device)
+ else:
+ if text_prompt is None: text_prompt = config.bert_vits2_config.text_prompt
+ emo = get_clap_text_feature(text_prompt, self.model_handler.clap_model,
+ self.model_handler.clap_processor, self.device)
+ emo = torch.squeeze(emo, dim=1).unsqueeze(0)
+ return emo
+
+ def _infer(self, id, phones, tones, lang_ids, zh_bert, ja_bert, en_bert, sdp_ratio, noise, noisew, length,
+ emo=None):
+ with torch.no_grad():
+ x_tst = phones.to(self.device).unsqueeze(0)
+ tones = tones.to(self.device).unsqueeze(0)
+ lang_ids = lang_ids.to(self.device).unsqueeze(0)
+ if self.zh_bert_extra:
+ zh_bert = zh_bert.to(self.device).unsqueeze(0)
+ elif self.ja_bert_extra:
+ ja_bert = ja_bert.to(self.device).unsqueeze(0)
+ else:
+ zh_bert = zh_bert.to(self.device).unsqueeze(0)
+ ja_bert = ja_bert.to(self.device).unsqueeze(0)
+ en_bert = en_bert.to(self.device).unsqueeze(0)
+ x_tst_lengths = torch.LongTensor([phones.size(0)]).to(self.device)
+ speakers = torch.LongTensor([int(id)]).to(self.device)
+ audio = self.net_g.infer(x_tst,
+ x_tst_lengths,
+ speakers,
+ tones,
+ lang_ids,
+ zh_bert=zh_bert,
+ ja_bert=ja_bert,
+ en_bert=en_bert,
+ sdp_ratio=sdp_ratio,
+ noise_scale=noise,
+ noise_scale_w=noisew,
+ length_scale=length,
+ emo=emo
+ )[0][0, 0].data.cpu().float().numpy()
+
+ torch.cuda.empty_cache()
+ return audio
+
+ def infer(self, text, id, lang, sdp_ratio, noise, noisew, length, reference_audio=None, emotion=None,
+ text_prompt=None, style_text=None, style_weigth=0.7, **kwargs):
+ zh_bert, ja_bert, en_bert, phones, tones, lang_ids = self.get_text(text, lang, self.hps_ms, style_text,
+ style_weigth)
+
+ emo = None
+ if self.hps_ms.model.emotion_embedding == 1:
+ emo = self._get_emo(reference_audio, emotion).to(self.device).unsqueeze(0)
+ elif self.hps_ms.model.emotion_embedding == 2:
+ emo = self._get_clap(reference_audio, text_prompt)
+
+ return self._infer(id, phones, tones, lang_ids, zh_bert, ja_bert, en_bert, sdp_ratio, noise, noisew, length,
+ emo)
+
+ def infer_multilang(self, text, id, lang, sdp_ratio, noise, noisew, length, reference_audio=None, emotion=None,
+ text_prompt=None, style_text=None, style_weigth=0.7, **kwargs):
+ sentences_list = split_languages(text, self.lang, expand_abbreviations=True, expand_hyphens=True)
+
+ emo = None
+ if self.hps_ms.model.emotion_embedding == 1:
+ emo = self._get_emo(reference_audio, emotion).to(self.device).unsqueeze(0)
+ elif self.hps_ms.model.emotion_embedding == 2:
+ emo = self._get_clap(reference_audio, text_prompt)
+
+ phones, tones, lang_ids, zh_bert, ja_bert, en_bert = [], [], [], [], [], []
+
+ for idx, (_text, lang) in enumerate(sentences_list):
+ skip_start = idx != 0
+ skip_end = idx != len(sentences_list) - 1
+ _zh_bert, _ja_bert, _en_bert, _phones, _tones, _lang_ids = self.get_text(_text, lang, self.hps_ms,
+ style_text, style_weigth)
+
+ if skip_start:
+ _phones = _phones[3:]
+ _tones = _tones[3:]
+ _lang_ids = _lang_ids[3:]
+ _zh_bert = _zh_bert[:, 3:]
+ _ja_bert = _ja_bert[:, 3:]
+ _en_bert = _en_bert[:, 3:]
+ if skip_end:
+ _phones = _phones[:-2]
+ _tones = _tones[:-2]
+ _lang_ids = _lang_ids[:-2]
+ _zh_bert = _zh_bert[:, :-2]
+ _ja_bert = _ja_bert[:, :-2]
+ _en_bert = _en_bert[:, :-2]
+
+ phones.append(_phones)
+ tones.append(_tones)
+ lang_ids.append(_lang_ids)
+ zh_bert.append(_zh_bert)
+ ja_bert.append(_ja_bert)
+ en_bert.append(_en_bert)
+
+ zh_bert = torch.cat(zh_bert, dim=1)
+ ja_bert = torch.cat(ja_bert, dim=1)
+ en_bert = torch.cat(en_bert, dim=1)
+ phones = torch.cat(phones, dim=0)
+ tones = torch.cat(tones, dim=0)
+ lang_ids = torch.cat(lang_ids, dim=0)
+
+ audio = self._infer(id, phones, tones, lang_ids, zh_bert, ja_bert, en_bert, sdp_ratio, noise,
+ noisew, length, emo)
+
+ return audio
diff --git a/bert_vits2/clap_wrapper.py b/bert_vits2/clap_wrapper.py
new file mode 100644
index 0000000000000000000000000000000000000000..25f4d759b06fd3b3de4c4a73b145444d0527f4ee
--- /dev/null
+++ b/bert_vits2/clap_wrapper.py
@@ -0,0 +1,17 @@
+import torch
+
+
+def get_clap_audio_feature(audio_data, clap_model, processor, device):
+ with torch.no_grad():
+ inputs = processor(
+ audios=audio_data, return_tensors="pt", sampling_rate=48000
+ ).to(device)
+ emb = clap_model.get_audio_features(**inputs).float()
+ return emb.T
+
+
+def get_clap_text_feature(text, clap_model, processor, device):
+ with torch.no_grad():
+ inputs = processor(text=text, return_tensors="pt").to(device)
+ emb = clap_model.get_text_features(**inputs).float()
+ return emb.T
diff --git a/bert_vits2/commons.py b/bert_vits2/commons.py
new file mode 100644
index 0000000000000000000000000000000000000000..1bc7d9a88e61e173cb460be134515a2525cd9e0e
--- /dev/null
+++ b/bert_vits2/commons.py
@@ -0,0 +1,158 @@
+import math
+import torch
+from torch.nn import functional as F
+
+
+def init_weights(m, mean=0.0, std=0.01):
+ classname = m.__class__.__name__
+ if classname.find("Conv") != -1:
+ m.weight.data.normal_(mean, std)
+
+
+def get_padding(kernel_size, dilation=1):
+ return int((kernel_size * dilation - dilation) / 2)
+
+
+def convert_pad_shape(pad_shape):
+ layer = pad_shape[::-1]
+ pad_shape = [item for sublist in layer for item in sublist]
+ return pad_shape
+
+
+def intersperse(lst, item):
+ result = [item] * (len(lst) * 2 + 1)
+ result[1::2] = lst
+ return result
+
+
+def kl_divergence(m_p, logs_p, m_q, logs_q):
+ """KL(P||Q)"""
+ kl = (logs_q - logs_p) - 0.5
+ kl += (
+ 0.5 * (torch.exp(2.0 * logs_p) + ((m_p - m_q) ** 2)) * torch.exp(-2.0 * logs_q)
+ )
+ return kl
+
+
+def rand_gumbel(shape):
+ """Sample from the Gumbel distribution, protect from overflows."""
+ uniform_samples = torch.rand(shape) * 0.99998 + 0.00001
+ return -torch.log(-torch.log(uniform_samples))
+
+
+def rand_gumbel_like(x):
+ g = rand_gumbel(x.size()).to(dtype=x.dtype, device=x.device)
+ return g
+
+
+def slice_segments(x, ids_str, segment_size=4):
+ gather_indices = ids_str.view(x.size(0), 1, 1).repeat(
+ 1, x.size(1), 1
+ ) + torch.arange(segment_size, device=x.device)
+ return torch.gather(x, 2, gather_indices)
+
+
+def rand_slice_segments(x, x_lengths=None, segment_size=4):
+ b, d, t = x.size()
+ if x_lengths is None:
+ x_lengths = t
+ ids_str_max = torch.clamp(x_lengths - segment_size + 1, min=0)
+ ids_str = (torch.rand([b], device=x.device) * ids_str_max).to(dtype=torch.long)
+ ret = slice_segments(x, ids_str, segment_size)
+ return ret, ids_str
+
+
+def get_timing_signal_1d(length, channels, min_timescale=1.0, max_timescale=1.0e4):
+ position = torch.arange(length, dtype=torch.float)
+ num_timescales = channels // 2
+ log_timescale_increment = math.log(float(max_timescale) / float(min_timescale)) / (
+ num_timescales - 1
+ )
+ inv_timescales = min_timescale * torch.exp(
+ torch.arange(num_timescales, dtype=torch.float) * -log_timescale_increment
+ )
+ scaled_time = position.unsqueeze(0) * inv_timescales.unsqueeze(1)
+ signal = torch.cat([torch.sin(scaled_time), torch.cos(scaled_time)], 0)
+ signal = F.pad(signal, [0, 0, 0, channels % 2])
+ signal = signal.view(1, channels, length)
+ return signal
+
+
+def add_timing_signal_1d(x, min_timescale=1.0, max_timescale=1.0e4):
+ b, channels, length = x.size()
+ signal = get_timing_signal_1d(length, channels, min_timescale, max_timescale)
+ return x + signal.to(dtype=x.dtype, device=x.device)
+
+
+def cat_timing_signal_1d(x, min_timescale=1.0, max_timescale=1.0e4, axis=1):
+ b, channels, length = x.size()
+ signal = get_timing_signal_1d(length, channels, min_timescale, max_timescale)
+ return torch.cat([x, signal.to(dtype=x.dtype, device=x.device)], axis)
+
+
+def subsequent_mask(length):
+ mask = torch.tril(torch.ones(length, length)).unsqueeze(0).unsqueeze(0)
+ return mask
+
+
+@torch.jit.script
+def fused_add_tanh_sigmoid_multiply(input_a, input_b, n_channels):
+ n_channels_int = n_channels[0]
+ in_act = input_a + input_b
+ t_act = torch.tanh(in_act[:, :n_channels_int, :])
+ s_act = torch.sigmoid(in_act[:, n_channels_int:, :])
+ acts = t_act * s_act
+ return acts
+
+
+def convert_pad_shape(pad_shape):
+ layer = pad_shape[::-1]
+ pad_shape = [item for sublist in layer for item in sublist]
+ return pad_shape
+
+
+def shift_1d(x):
+ x = F.pad(x, convert_pad_shape([[0, 0], [0, 0], [1, 0]]))[:, :, :-1]
+ return x
+
+
+def sequence_mask(length, max_length=None):
+ if max_length is None:
+ max_length = length.max()
+ x = torch.arange(max_length, dtype=length.dtype, device=length.device)
+ return x.unsqueeze(0) < length.unsqueeze(1)
+
+
+def generate_path(duration, mask):
+ """
+ duration: [b, 1, t_x]
+ mask: [b, 1, t_y, t_x]
+ """
+
+ b, _, t_y, t_x = mask.shape
+ cum_duration = torch.cumsum(duration, -1)
+
+ cum_duration_flat = cum_duration.view(b * t_x)
+ path = sequence_mask(cum_duration_flat, t_y).to(mask.dtype)
+ path = path.view(b, t_x, t_y)
+ path = path - F.pad(path, convert_pad_shape([[0, 0], [1, 0], [0, 0]]))[:, :-1]
+ path = path.unsqueeze(1).transpose(2, 3) * mask
+ return path
+
+
+def clip_grad_value_(parameters, clip_value, norm_type=2):
+ if isinstance(parameters, torch.Tensor):
+ parameters = [parameters]
+ parameters = list(filter(lambda p: p.grad is not None, parameters))
+ norm_type = float(norm_type)
+ if clip_value is not None:
+ clip_value = float(clip_value)
+
+ total_norm = 0
+ for p in parameters:
+ param_norm = p.grad.data.norm(norm_type)
+ total_norm += param_norm.item() ** norm_type
+ if clip_value is not None:
+ p.grad.data.clamp_(min=-clip_value, max=clip_value)
+ total_norm = total_norm ** (1.0 / norm_type)
+ return total_norm
diff --git a/bert_vits2/g2pW/pypinyin_G2pW_bv2/__init__.py b/bert_vits2/g2pW/pypinyin_G2pW_bv2/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..ccb98f1ed845089f088b3695853f75bd1d1c08c0
--- /dev/null
+++ b/bert_vits2/g2pW/pypinyin_G2pW_bv2/__init__.py
@@ -0,0 +1,5 @@
+# -*- coding: utf-8 -*-
+
+from .g2pw import G2PWPinyin
+
+__all__ = ["G2PWPinyin"]
diff --git a/bert_vits2/g2pW/pypinyin_G2pW_bv2/g2pw.py b/bert_vits2/g2pW/pypinyin_G2pW_bv2/g2pw.py
new file mode 100644
index 0000000000000000000000000000000000000000..96154cce5e1b33f86017384654f5391ca9a46948
--- /dev/null
+++ b/bert_vits2/g2pW/pypinyin_G2pW_bv2/g2pw.py
@@ -0,0 +1,121 @@
+# -*- coding: utf-8 -*-
+
+from pypinyin.constants import RE_HANS
+from pypinyin.core import Pinyin, Style
+from pypinyin.seg.simpleseg import simple_seg
+from pypinyin.converter import UltimateConverter
+from pypinyin.contrib.tone_convert import to_tone
+from .g2pw1.onnx_api import G2PWOnnxConverter
+
+class G2PWPinyin(Pinyin):
+ def __init__(
+ self,
+ model_dir="G2PWModel/",
+ model_source=None,
+ num_workers=None,
+ batch_size=None,
+ turnoff_tqdm=True,
+ enable_non_tradional_chinese=True,
+ v_to_u=False,
+ neutral_tone_with_five=False,
+ tone_sandhi=False,
+ **kwargs
+ ):
+ self._g2pw = G2PWOnnxConverter(
+ model_dir=model_dir,
+ style="pinyin",
+ model_source=model_source,
+ enable_non_tradional_chinese=enable_non_tradional_chinese,
+ )
+ self._converter = Converter(
+ self._g2pw,
+ v_to_u=v_to_u,
+ neutral_tone_with_five=neutral_tone_with_five,
+ tone_sandhi=tone_sandhi,
+ )
+
+ def get_seg(self, **kwargs):
+ return simple_seg
+
+
+class Converter(UltimateConverter):
+ def __init__(
+ self,
+ g2pw_instance,
+ v_to_u=False,
+ neutral_tone_with_five=False,
+ tone_sandhi=False,
+ **kwargs
+ ):
+ super(Converter, self).__init__(
+ v_to_u=v_to_u,
+ neutral_tone_with_five=neutral_tone_with_five,
+ tone_sandhi=tone_sandhi,
+ **kwargs
+ )
+
+ self._g2pw = g2pw_instance
+
+ def convert(self, words, style, heteronym, errors, strict, **kwargs):
+ pys = []
+ if RE_HANS.match(words):
+ pys = self._to_pinyin(
+ words, style=style, heteronym=heteronym, errors=errors, strict=strict
+ )
+ post_data = self.post_pinyin(words, heteronym, pys)
+ if post_data is not None:
+ pys = post_data
+
+ pys = self.convert_styles(pys, words, style, heteronym, errors, strict)
+
+ else:
+ py = self.handle_nopinyin(
+ words, style=style, errors=errors, heteronym=heteronym, strict=strict
+ )
+ if py:
+ pys.extend(py)
+
+ return _remove_dup_and_empty(pys)
+
+ def _to_pinyin(self, han, style, heteronym, errors, strict, **kwargs):
+ g2pw_pinyin = self._g2pw(han)
+
+ if not g2pw_pinyin: # g2pw 不支持的汉字改为使用 pypinyin 原有逻辑
+ return super(Converter, self).convert(
+ han, Style.TONE, heteronym, errors, strict, **kwargs
+ )
+
+ pinyins = []
+
+ for i, item in enumerate(g2pw_pinyin[0]):
+ if item is None: # g2pw 不支持的汉字改为使用 pypinyin 原有逻辑
+ py = super(Converter, self).convert(
+ han[i], Style.TONE, heteronym, errors, strict, **kwargs
+ )
+ pinyins.extend(py)
+ else:
+ pinyins.append([to_tone(item)])
+
+ return pinyins
+
+
+def _remove_dup_items(lst, remove_empty=False):
+ new_lst = []
+ for item in lst:
+ if remove_empty and not item:
+ continue
+ if item not in new_lst:
+ new_lst.append(item)
+ return new_lst
+
+
+def _remove_dup_and_empty(lst_list):
+ new_lst_list = []
+ for lst in lst_list:
+ lst = _remove_dup_items(lst, remove_empty=True)
+ if lst:
+ new_lst_list.append(lst)
+ else:
+ new_lst_list.append([""])
+
+ return new_lst_list
diff --git a/bert_vits2/g2pW/pypinyin_G2pW_bv2/g2pw1/__init__.py b/bert_vits2/g2pW/pypinyin_G2pW_bv2/g2pw1/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/bert_vits2/g2pW/pypinyin_G2pW_bv2/g2pw1/bopomofo_to_pinyin_wo_tune_dict.json b/bert_vits2/g2pW/pypinyin_G2pW_bv2/g2pw1/bopomofo_to_pinyin_wo_tune_dict.json
new file mode 100644
index 0000000000000000000000000000000000000000..a451a74686761e9e85501883385a2abba929d14e
--- /dev/null
+++ b/bert_vits2/g2pW/pypinyin_G2pW_bv2/g2pw1/bopomofo_to_pinyin_wo_tune_dict.json
@@ -0,0 +1 @@
+{"ㄌㄧㄥ": "ling", "ㄩㄢ": "yuan", "ㄒㄧㄥ": "xing", "ㄑㄧㄡ": "qiu", "ㄊㄧㄢ": "tian", "ㄎㄨㄚ": "kua", "ㄨ": "wu", "ㄧㄣ": "yin", "ㄧ": "yi", "ㄒㄧㄝ": "xie", "ㄔㄡ": "chou", "ㄋㄨㄛ": "nuo", "ㄉㄢ": "dan", "ㄒㄩ": "xu", "ㄒㄩㄥ": "xiong", "ㄌㄧㄡ": "liu", "ㄌㄧㄣ": "lin", "ㄒㄧㄤ": "xiang", "ㄩㄥ": "yong", "ㄒㄧㄣ": "xin", "ㄓㄣ": "zhen", "ㄉㄞ": "dai", "ㄆㄢ": "pan", "ㄖㄨ": "ru", "ㄇㄚ": "ma", "ㄑㄧㄢ": "qian", "ㄘ": "ci", "ㄓㄨㄥ": "zhong", "ㄋㄟ": "nei", "ㄔㄥ": "cheng", "ㄈㄥ": "feng", "ㄓㄨㄛ": "zhuo", "ㄈㄤ": "fang", "ㄠ": "ao", "ㄗㄨㄛ": "zuo", "ㄓㄡ": "zhou", "ㄉㄨㄥ": "dong", "ㄙㄨ": "su", "ㄑㄩㄥ": "qiong", "ㄎㄨㄤ": "kuang", "ㄨㄤ": "wang", "ㄌㄟ": "lei", "ㄋㄠ": "nao", "ㄓㄨ": "zhu", "ㄕㄨ": "shu", "ㄕㄣ": "shen", "ㄐㄧㄝ": "jie", "ㄉㄧㄝ": "die", "ㄔ": "chi", "ㄌㄨㄥ": "long", "ㄧㄥ": "ying", "ㄅㄥ": "beng", "ㄌㄢ": "lan", "ㄇㄧㄠ": "miao", "ㄌㄧ": "li", "ㄐㄧ": "ji", "ㄩ": "yu", "ㄌㄨㄛ": "luo", "ㄔㄞ": "chai", "ㄏㄨㄣ": "hun", "ㄏㄨㄟ": "hui", "ㄖㄠ": "rao", "ㄏㄢ": "han", "ㄒㄧ": "xi", "ㄊㄞ": "tai", "ㄧㄠ": "yao", "ㄐㄩㄣ": "jun", "ㄌㄩㄝ": "lve", "ㄊㄤ": "tang", "ㄓㄠ": "zhao", "ㄓㄞ": "zhai", "ㄓㄚ": "zha", "ㄦ": "er", "ㄖㄢ": "ran", "ㄑㄧ": "qi", "ㄙㄜ": "se", "ㄙ": "si", "ㄙㄚ": "sa", "ㄎㄨㄟ": "kui", "ㄆㄨ": "pu", "ㄊㄚ": "ta", "ㄉㄨ": "du", "ㄊㄨ": "tu", "ㄧㄤ": "yang", "ㄡ": "ou", "ㄇㄧㄢ": "mian", "ㄨㄣ": "wen", "ㄉㄧㄠ": "diao", "ㄇㄧㄝ": "mie", "ㄨㄚ": "wa", "ㄋㄧㄠ": "niao", "ㄧㄡ": "you", "ㄔㄜ": "che", "ㄑㄩㄢ": "quan", "ㄘㄞ": "cai", "ㄌㄧㄤ": "liang", "ㄍㄨ": "gu", "ㄇㄠ": "mao", "ㄍㄨㄚ": "gua", "ㄙㄨㄟ": "sui", "ㄇㄢ": "man", "ㄕ": "shi", "ㄎㄡ": "kou", "ㄊㄧㄥ": "ting", "ㄅㄧㄥ": "bing", "ㄏㄨㄛ": "huo", "ㄍㄨㄥ": "gong", "ㄑㄧㄣ": "qin", "ㄐㄩㄥ": "jiong", "ㄌㄨ": "lu", "ㄋㄢ": "nan", "ㄅㄧ": "bi", "ㄑㄧㄚ": "qia", "ㄆㄧ": "pi", "ㄉㄧㄢ": "dian", "ㄈㄨ": "fu", "ㄍㄜ": "ge", "ㄅㄞ": "bai", "ㄍㄢ": "gan", "ㄒㄩㄢ": "xuan", "ㄌㄤ": "lang", "ㄕㄜ": "she", "ㄏㄨㄚ": "hua", "ㄊㄡ": "tou", "ㄆㄧㄢ": "pian", "ㄉㄧ": "di", "ㄖㄨㄢ": "ruan", "ㄜ": "e", "ㄑㄧㄝ": "qie", "ㄉㄡ": "dou", "ㄖㄨㄟ": "rui", "ㄘㄨㄟ": "cui", "ㄐㄧㄢ": "jian", "ㄔㄨㄥ": "chong", "ㄉㄥ": "deng", "ㄐㄩㄝ": "jue", "ㄒㄩㄝ": "xue", "ㄒㄧㄠ": "xiao", "ㄗㄢ": "zan", "ㄓㄢ": "zhan", "ㄗㄡ": "zou", "ㄘㄡ": "cou", "ㄔㄨㄚ": "chua", "ㄈㄟ": "fei", "ㄅㄟ": "bei", "ㄔㄨ": "chu", "ㄅㄚ": "ba", "ㄎㄨㄞ": "kuai", "ㄒㄧㄚ": "xia", "ㄏㄜ": "he", "ㄅㄧㄝ": "bie", "ㄌㄩ": "lv", "ㄙㄨㄢ": "suan", "ㄏㄥ": "heng", "ㄍㄨㄟ": "gui", "ㄌㄡ": "lou", "ㄊㄧ": "ti", "ㄌㄜ": "le", "ㄙㄨㄣ": "sun", "ㄒㄧㄢ": "xian", "ㄑㄩㄝ": "que", "ㄓ": "zhi", "ㄐㄧㄚ": "jia", "ㄏㄨ": "hu", "ㄌㄚ": "la", "ㄎㄜ": "ke", "ㄞ": "ai", "ㄨㄟ": "wei", "ㄏㄨㄢ": "huan", "ㄕㄨㄚ": "shua", "ㄕㄨㄤ": "shuang", "ㄍㄞ": "gai", "ㄏㄞ": "hai", "ㄧㄢ": "yan", "ㄈㄢ": "fan", "ㄆㄤ": "pang", "ㄙㄨㄥ": "song", "ㄋㄜ": "ne", "ㄔㄣ": "chen", "ㄍㄨㄛ": "guo", "ㄣ": "en", "ㄋㄍ": "ng", "ㄆㄚ": "pa", "ㄈㄚ": "fa", "ㄆㄡ": "pou", "ㄏㄡ": "hou", "ㄑㄩ": "qu", "ㄒㄩㄣ": "xun", "ㄋㄧㄝ": "nie", "ㄏㄨㄥ": "hong", "ㄊㄨㄣ": "tun", "ㄨㄞ": "wai", "ㄕㄡ": "shou", "ㄧㄝ": "ye", "ㄐㄩ": "ju", "ㄙㄡ": "sou", "ㄌㄨㄣ": "lun", "ㄋㄧㄚ": "nia", "ㄆㄣ": "pen", "ㄈㄣ": "fen", "ㄔㄨㄣ": "chun", "ㄋㄧㄡ": "niu", "ㄖㄡ": "rou", "ㄉㄨㄛ": "duo", "ㄗㄜ": "ze", "ㄕㄥ": "sheng", "ㄎㄨ": "ku", "ㄧㄚ": "ya", "ㄓㄨㄟ": "zhui", "ㄍㄡ": "gou", "ㄅㄛ": "bo", "ㄋㄚ": "na", "ㄒㄧㄡ": "xiu", "ㄘㄨ": "cu", "ㄎㄨㄛ": "kuo", "ㄌㄠ": "lao", "ㄘㄨㄥ": "cong", "ㄉㄚ": "da", "ㄆㄛ": "po", "ㄙㄞ": "sai", "ㄌㄥ": "leng", "ㄖㄨㄥ": "rong", "ㄋㄧ": "ni", "ㄆㄠ": "pao", "ㄎㄢ": "kan", "ㄨㄥ": "weng", "ㄨㄢ": "wan", "ㄏㄠ": "hao", "ㄐㄧㄥ": "jing", "ㄊㄢ": "tan", "ㄅㄨ": "bu", "ㄗㄤ": "zang", "ㄐㄧㄡ": "jiu", "ㄇㄟ": "mei", "ㄇㄨ": "mu", "ㄉㄨㄟ": "dui", "ㄅㄤ": "bang", "ㄅㄠ": "bao", "ㄔㄤ": "chang", "ㄓㄤ": "zhang", "ㄗㄨㄥ": "zong", "ㄍㄨㄣ": "gun", "ㄌㄧㄠ": "liao", "ㄔㄢ": "chan", "ㄓㄜ": "zhe", "ㄇㄥ": "meng", "ㄑㄧㄠ": "qiao", "ㄋㄤ": "nang", "ㄩㄣ": "yun", "ㄎㄞ": "kai", "ㄍㄠ": "gao", "ㄊㄠ": "tao", "ㄕㄢ": "shan", "ㄌㄞ": "lai", "ㄅㄢ": "ban", "ㄎㄨㄥ": "kong", "ㄔㄨㄛ": "chuo", "ㄋㄨ": "nu", "ㄆㄟ": "pei", "ㄆㄥ": "peng", "ㄘㄢ": "can", "ㄙㄨㄛ": "suo", "ㄊㄨㄥ": "tong", "ㄑㄧㄤ": "qiang", "ㄙㄠ": "sao", "ㄓㄨㄢ": "zhuan", "ㄢ": "an", "ㄔㄚ": "cha", "ㄕㄚ": "sha", "ㄌㄧㄢ": "lian", "ㄇㄧ": "mi", "ㄋㄡ": "nou", "ㄘㄠ": "cao", "ㄙㄣ": "sen", "ㄋㄣ": "nen", "ㄋㄧㄢ": "nian", "ㄇㄞ": "mai", "ㄩㄝ": "yue", "ㄋㄞ": "nai", "ㄏㄨㄞ": "huai", "ㄗ": "zi", "ㄌㄨㄢ": "luan", "ㄉㄧㄥ": "ding", "ㄇㄤ": "mang", "ㄋㄧㄥ": "ning", "ㄇㄧㄥ": "ming", "ㄗㄨㄟ": "zui", "ㄎㄤ": "kang", "ㄉㄜ": "de", "ㄅㄧㄢ": "bian", "ㄐㄧㄣ": "jin", "ㄔㄨㄟ": "chui", "ㄊㄨㄟ": "tui", "ㄗㄚ": "za", "ㄘㄣ": "cen", "ㄇㄧㄣ": "min", "ㄏㄨㄤ": "huang", "ㄗㄨ": "zu", "ㄘㄨㄛ": "cuo", "ㄊㄨㄛ": "tuo", "ㄑㄩㄣ": "qun", "ㄅㄧㄣ": "bin", "ㄊㄧㄠ": "tiao", "ㄍㄤ": "gang", "ㄉㄨㄢ": "duan", "ㄅㄧㄠ": "biao", "ㄉㄠ": "dao", "ㄖㄨㄣ": "run", "ㄐㄧㄠ": "jiao", "ㄨㄛ": "wo", "ㄘㄨㄢ": "cuan", "ㄖㄣ": "ren", "ㄇㄣ": "men", "ㄓㄨㄣ": "zhun", "ㄎㄨㄣ": "kun", "ㄔㄨㄤ": "chuang", "ㄗㄠ": "zao", "ㄓㄥ": "zheng", "ㄆㄧㄣ": "pin", "ㄅㄣ": "ben", "ㄐㄧㄤ": "jiang", "ㄐㄩㄢ": "juan", "ㄘㄥ": "ceng", "ㄏㄤ": "hang", "ㄋㄧㄣ": "nin", "ㄌㄧㄝ": "lie", "ㄍㄨㄤ": "guang", "ㄙㄢ": "san", "ㄊㄜ": "te", "ㄕㄨㄣ": "shun", "ㄕㄨㄟ": "shui", "ㄔㄠ": "chao", "ㄘㄜ": "ce", "ㄍㄨㄞ": "guai", "ㄎㄥ": "keng", "ㄕㄞ": "shai", "ㄉㄣ": "den", "ㄊㄨㄢ": "tuan", "ㄆㄧㄠ": "piao", "ㄑㄧㄥ": "qing", "ㄍㄥ": "geng", "ㄔㄨㄞ": "chuai", "ㄕㄠ": "shao", "ㄍㄣ": "gen", "ㄋㄨㄢ": "nuan", "ㄖㄥ": "reng", "ㄇㄡ": "mou", "ㄆㄞ": "pai", "ㄤ": "ang", "ㄎㄚ": "ka", "ㄍㄨㄢ": "guan", "ㄕㄨㄛ": "shuo", "ㄏㄣ": "hen", "ㄔㄨㄢ": "chuan", "ㄎㄨㄢ": "kuan", "ㄏㄟ": "hei", "ㄇㄛ": "mo", "ㄗㄞ": "zai", "ㄋㄥ": "neng", "ㄕㄨㄞ": "shuai", "ㄖㄜ": "re", "ㄋㄩ": "nv", "ㄆㄧㄥ": "ping", "ㄘㄤ": "cang", "ㄋㄨㄥ": "nong", "ㄎㄠ": "kao", "ㄗㄨㄢ": "zuan", "ㄎㄣ": "ken", "ㄍㄚ": "ga", "ㄗㄣ": "zen", "ㄉㄤ": "dang", "ㄗㄥ": "zeng", "ㄉㄨㄣ": "dun", "ㄘㄚ": "ca", "ㄖㄤ": "rang", "ㄘㄨㄣ": "cun", "ㄖㄨㄛ": "ruo", "ㄊㄧㄝ": "tie", "ㄊㄥ": "teng", "ㄙㄥ": "seng", "ㄖ": "ri", "ㄗㄨㄣ": "zun", "ㄋㄧㄤ": "niang", "ㄋㄩㄝ": "nve", "ㄙㄤ": "sang", "ㄓㄨㄤ": "zhuang", "ㄕㄤ": "shang", "ㄆㄧㄝ": "pie", "ㄕㄨㄢ": "shuan", "ㄈㄡ": "fou", "ㄉㄧㄡ": "diu", "ㄇㄜ": "me", "ㄈㄛ": "fo", "ㄌㄧㄚ": "lia", "ㄎㄟ": "kei", "ㄏㄚ": "ha", "ㄚ": "a", "ㄌㄛ": "lo", "ㄧㄛ": "yo", "ㄛ": "o", "ㄏㄋㄍ": "hng", "ㄋ": "n", "ㄌㄣ": "len", "ㄉㄧㄚ": "dia", "ㄇㄧㄡ": "miu", "ㄉㄟ": "dei", "ㄏㄇ": "hm", "ㄋㄨㄣ": "nun", "ㄓㄨㄞ": "zhuai", "ㄊㄟ": "tei", "ㄗㄟ": "zei", "ㄓㄨㄚ": "zhua", "ㄖㄨㄚ": "rua", "ê": "ê", "ㄟ": "ei", "ㄍㄟ": "gei", "ㄈㄧㄠ": "fiao", "ㄕㄟ": "shei", "ㄓㄟ": "zhei", "ㄥ": "eng", "ㄘㄟ": "cei", "ㄉㄧㄣ": "din", "ㄅㄧㄤ": "biang", "ㄧㄞ": "yai"}
diff --git a/bert_vits2/g2pW/pypinyin_G2pW_bv2/g2pw1/char_bopomofo_dict.json b/bert_vits2/g2pW/pypinyin_G2pW_bv2/g2pw1/char_bopomofo_dict.json
new file mode 100644
index 0000000000000000000000000000000000000000..998febb6dd9e8d8faf62e5f985b40b2dbbe772d3
--- /dev/null
+++ b/bert_vits2/g2pW/pypinyin_G2pW_bv2/g2pw1/char_bopomofo_dict.json
@@ -0,0 +1,136008 @@
+{
+ "〇": [
+ "ㄌㄧㄥ2",
+ "ㄩㄢ2",
+ "ㄒㄧㄥ1"
+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄒㄩ4"
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+ ],
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+ ],
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+ "ㄈㄣ4"
+ ],
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+ ],
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+ "ㄖㄡ4"
+ ],
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+ ],
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+ ],
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+ "ㄧㄚ5"
+ ],
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+ ],
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+ ],
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+ ],
+ "㗔": [
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+ ],
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+ "ㄍㄡ1"
+ ],
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+ ],
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+ "ㄓㄡ1"
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+ ],
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+ "㗜": [
+ "ㄒㄧㄡ4"
+ ],
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+ "ㄉㄨㄥ4",
+ "ㄏㄨㄥ4"
+ ],
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+ "ㄊㄧ4"
+ ],
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+ ],
+ "㗥": [
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+ "ㄍㄨㄛ1"
+ ],
+ "㗦": [
+ "ㄌㄠ2"
+ ],
+ "㗧": [
+ "ㄓ4",
+ "ㄉㄧㄝ2"
+ ],
+ "㗨": [
+ "ㄒㄧㄝ1",
+ "ㄞ3"
+ ],
+ "㗩": [
+ "ㄒㄧ1"
+ ],
+ "㗫": [
+ "ㄑㄧㄝ4"
+ ],
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+ "ㄓㄚ1"
+ ],
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+ ],
+ "㗰": [
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+ ],
+ "㗱": [
+ "ㄐㄧ2"
+ ],
+ "㗲": [
+ "ㄏㄨㄛ4"
+ ],
+ "㗳": [
+ "ㄊㄚ3",
+ "ㄉㄚ1"
+ ],
+ "㗴": [
+ "ㄧㄢ2"
+ ],
+ "㗵": [
+ "ㄒㄩ4"
+ ],
+ "㗶": [
+ "ㄆㄛ1"
+ ],
+ "㗷": [
+ "ㄙㄞ3"
+ ],
+ "㗻": [
+ "ㄍㄨㄛ1"
+ ],
+ "㗼": [
+ "ㄧㄝ4"
+ ],
+ "㗽": [
+ "ㄒㄧㄤ3"
+ ],
+ "㗾": [
+ "ㄒㄩㄝ1"
+ ],
+ "㗿": [
+ "ㄏㄜ2",
+ "ㄒㄧㄚ4",
+ "ㄒㄧㄚ1"
+ ],
+ "㘀": [
+ "ㄗㄨㄛ4"
+ ],
+ "㘁": [
+ "ㄧ4"
+ ],
+ "㘂": [
+ "ㄘ2"
+ ],
+ "㘄": [
+ "ㄌㄥ1"
+ ],
+ "㘅": [
+ "ㄒㄧㄢ2"
+ ],
+ "㘆": [
+ "ㄊㄞ3"
+ ],
+ "㘇": [
+ "ㄖㄨㄥ2"
+ ],
+ "㘈": [
+ "ㄧ4",
+ "ㄋㄧ3"
+ ],
+ "㘉": [
+ "ㄓ4"
+ ],
+ "㘊": [
+ "ㄒㄧ1",
+ "ㄧ4"
+ ],
+ "㘋": [
+ "ㄒㄧㄢ2"
+ ],
+ "㘌": [
+ "ㄐㄩ4"
+ ],
+ "㘍": [
+ "ㄐㄧ2"
+ ],
+ "㘎": [
+ "ㄏㄢ3"
+ ],
+ "㘐": [
+ "ㄆㄠ4"
+ ],
+ "㘑": [
+ "ㄌㄧ4"
+ ],
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+ "ㄌㄢ2"
+ ],
+ "㘔": [
+ "ㄙㄞ3"
+ ],
+ "㘕": [
+ "ㄏㄢ3",
+ "ㄌㄢ2"
+ ],
+ "㘖": [
+ "ㄧㄢ2"
+ ],
+ "㘗": [
+ "ㄑㄩ1"
+ ],
+ "㘙": [
+ "ㄧㄢ2"
+ ],
+ "㘚": [
+ "ㄏㄢ3"
+ ],
+ "㘛": [
+ "ㄎㄢ1"
+ ],
+ "㘜": [
+ "ㄔ3"
+ ],
+ "㘝": [
+ "ㄋㄧㄝ4"
+ ],
+ "㘞": [
+ "ㄏㄨㄛ4"
+ ],
+ "㘠": [
+ "ㄅㄧ4"
+ ],
+ "㘡": [
+ "ㄒㄧㄚ2"
+ ],
+ "㘢": [
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+ "ㄑㄧㄣ2"
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+ "ㄎㄞ1"
+ ],
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+ "ㄑㄧㄤ3"
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+ "ㄊㄠ2"
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+ "㲊": [
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+ "㲋": [
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+ "ㄆㄠ1"
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+ "ㄑㄩ2"
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+ "ㄕㄨ4"
+ ],
+ "㲔": [
+ "ㄒㄧㄢ1"
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+ "㲕": [
+ "ㄌㄟ4"
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+ "ㄧㄚ4"
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+ "ㄐㄧㄝ4"
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+ "ㄏㄢ4"
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+ ],
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+ "ㄧㄥ3"
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+ "䁣": [
+ "ㄔㄨㄢ2"
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+ "ㄏㄨㄟ3"
+ ],
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+ ],
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+ "ㄇㄥ2"
+ ],
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+ "ㄘㄥ2"
+ ],
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+ "ㄑㄧㄢ2"
+ ],
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+ "ㄒㄧㄝ2"
+ ],
+ "䁰": [
+ "ㄐㄧㄤ3"
+ ],
+ "䁱": [
+ "ㄎㄡ1"
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+ "ㄇㄞ2"
+ ],
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+ "ㄇㄤ3"
+ ],
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+ "ㄓㄢ3",
+ "ㄕㄢ3"
+ ],
+ "䁵": [
+ "ㄅㄧㄢ3",
+ "ㄏㄨㄢ2"
+ ],
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+ "ㄐㄧㄠ3"
+ ],
+ "䁷": [
+ "ㄐㄩㄝ2",
+ "ㄨ4"
+ ],
+ "䁸": [
+ "ㄋㄤ2",
+ "ㄋㄨㄥ3"
+ ],
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+ "ㄅㄧ4"
+ ],
+ "䁺": [
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+ "ㄧ4"
+ ],
+ "䁻": [
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+ "ㄌㄧ4"
+ ],
+ "䁼": [
+ "ㄇㄛ4"
+ ],
+ "䁽": [
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+ "䁾": [
+ "ㄇㄧㄝ4"
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+ ],
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+ "ㄒㄧ1"
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+ "ㄐㄧㄠ4"
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+ "䂄": [
+ "ㄏㄨㄛ4"
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+ "䂅": [
+ "ㄒㄧㄢ1"
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+ "䂆": [
+ "ㄒㄩ4"
+ ],
+ "䂇": [
+ "ㄋㄧㄡ3"
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+ "䂈": [
+ "ㄊㄨㄥ2"
+ ],
+ "䂉": [
+ "ㄏㄡ2"
+ ],
+ "䂊": [
+ "ㄩ4"
+ ],
+ "䂌": [
+ "ㄔㄨㄥ1"
+ ],
+ "䂍": [
+ "ㄅㄛ2"
+ ],
+ "䂎": [
+ "ㄗㄨㄢ3",
+ "ㄘㄨㄢ1"
+ ],
+ "䂏": [
+ "ㄉㄧㄠ1"
+ ],
+ "䂐": [
+ "ㄓㄨㄛ1"
+ ],
+ "䂑": [
+ "ㄐㄧ1"
+ ],
+ "䂒": [
+ "ㄑㄧㄚ4"
+ ],
+ "䂔": [
+ "ㄒㄧㄥ4"
+ ],
+ "䂕": [
+ "ㄏㄨㄟ4"
+ ],
+ "䂖": [
+ "ㄕ2"
+ ],
+ "䂗": [
+ "ㄎㄨ1"
+ ],
+ "䂙": [
+ "ㄉㄨㄟ1"
+ ],
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+ "ㄧㄠ2"
+ ],
+ "䂛": [
+ "ㄩ2"
+ ],
+ "䂜": [
+ "ㄅㄤ4"
+ ],
+ "䂝": [
+ "ㄐㄧㄝ2"
+ ],
+ "䂞": [
+ "ㄓㄜ4"
+ ],
+ "䂟": [
+ "ㄐㄧㄚ1"
+ ],
+ "䂠": [
+ "ㄕ3"
+ ],
+ "䂡": [
+ "ㄉㄧ3"
+ ],
+ "䂢": [
+ "ㄉㄨㄥ3"
+ ],
+ "䂣": [
+ "ㄘ2"
+ ],
+ "䂤": [
+ "ㄈㄨ4"
+ ],
+ "䂥": [
+ "ㄇㄧㄣ2"
+ ],
+ "䂦": [
+ "ㄓㄣ1",
+ "ㄓㄣ3"
+ ],
+ "䂧": [
+ "ㄓㄣ3"
+ ],
+ "䂩": [
+ "ㄧㄢ4",
+ "ㄑㄧㄥ4"
+ ],
+ "䂪": [
+ "ㄑㄧㄠ3",
+ "ㄉㄧㄠ4"
+ ],
+ "䂫": [
+ "ㄏㄤ1",
+ "ㄏㄨㄥ2"
+ ],
+ "䂬": [
+ "ㄍㄨㄥ3"
+ ],
+ "䂭": [
+ "ㄑㄧㄠ1"
+ ],
+ "䂮": [
+ "ㄌㄩㄝ4"
+ ],
+ "䂯": [
+ "ㄍㄨㄞ4"
+ ],
+ "䂰": [
+ "ㄌㄚ4"
+ ],
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+ "ㄖㄨㄟ4"
+ ],
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+ "ㄈㄚ3"
+ ],
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+ "ㄘㄨㄛ3",
+ "ㄔㄚ3"
+ ],
+ "䂴": [
+ "ㄧㄢ2"
+ ],
+ "䂵": [
+ "ㄍㄨㄥ1"
+ ],
+ "䂶": [
+ "ㄐㄧㄝ2"
+ ],
+ "䂷": [
+ "ㄍㄨㄞ1"
+ ],
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+ "ㄍㄨㄛ2"
+ ],
+ "䂹": [
+ "ㄙㄨㄛ3"
+ ],
+ "䂺": [
+ "ㄨㄛ3",
+ "ㄎㄜ1"
+ ],
+ "䂻": [
+ "ㄓㄥ4"
+ ],
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+ "ㄋㄧㄝ4"
+ ],
+ "䂽": [
+ "ㄉㄧㄠ4"
+ ],
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+ "ㄌㄞ3"
+ ],
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+ "ㄊㄚ4"
+ ],
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+ "ㄘㄨㄟ4"
+ ],
+ "䃁": [
+ "ㄧㄚ1"
+ ],
+ "䃂": [
+ "ㄍㄨㄣ3"
+ ],
+ "䃅": [
+ "ㄉㄧ1"
+ ],
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+ "ㄇㄧㄢ2"
+ ],
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+ "ㄐㄧㄝ1"
+ ],
+ "䃉": [
+ "ㄇㄧㄣ2"
+ ],
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+ "ㄐㄩ3"
+ ],
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+ "ㄩ2"
+ ],
+ "䃌": [
+ "ㄓㄣ1",
+ "ㄧㄣ1"
+ ],
+ "䃍": [
+ "ㄓㄠ4"
+ ],
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+ "ㄓㄚ4",
+ "ㄓㄚ3"
+ ],
+ "䃏": [
+ "ㄒㄧㄥ1"
+ ],
+ "䃑": [
+ "ㄅㄢ1",
+ "ㄆㄢ2"
+ ],
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+ "ㄏㄜ2"
+ ],
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+ "ㄍㄡ4",
+ "ㄍㄡ1"
+ ],
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+ "ㄏㄨㄥ2",
+ "ㄑㄩㄥ2"
+ ],
+ "䃕": [
+ "ㄌㄠ2",
+ "ㄌㄨㄛ4"
+ ],
+ "䃖": [
+ "ㄨ4"
+ ],
+ "䃗": [
+ "ㄅㄛ1",
+ "ㄓㄨㄛ2"
+ ],
+ "䃘": [
+ "ㄎㄥ1"
+ ],
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+ "ㄌㄨ4"
+ ],
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+ "ㄘㄨ4",
+ "ㄗㄨ2"
+ ],
+ "䃛": [
+ "ㄌㄧㄢ2"
+ ],
+ "䃜": [
+ "ㄧ1"
+ ],
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+ "ㄑㄧㄠ4"
+ ],
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+ "ㄕㄨ2"
+ ],
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+ "ㄒㄩㄢ4"
+ ],
+ "䃡": [
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+ "ㄑㄧㄣ2"
+ ],
+ "䃢": [
+ "ㄑㄧㄣ1"
+ ],
+ "䃣": [
+ "ㄏㄨㄟ3"
+ ],
+ "䃤": [
+ "ㄙㄨ4"
+ ],
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+ "ㄔㄨㄤ2"
+ ],
+ "䃦": [
+ "ㄉㄨㄣ1"
+ ],
+ "䃧": [
+ "ㄌㄨㄥ2"
+ ],
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+ "ㄋㄠ2"
+ ],
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+ "ㄊㄢ2"
+ ],
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+ "ㄉㄢ3"
+ ],
+ "䃬": [
+ "ㄨㄟ3",
+ "ㄎㄨㄟ3",
+ "ㄌㄟ3"
+ ],
+ "䃭": [
+ "ㄍㄢ3"
+ ],
+ "䃮": [
+ "ㄉㄚ2"
+ ],
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+ "ㄌㄧ4"
+ ],
+ "䃰": [
+ "ㄘㄚ1"
+ ],
+ "䃱": [
+ "ㄒㄧㄢ4"
+ ],
+ "䃲": [
+ "ㄆㄢ2"
+ ],
+ "䃳": [
+ "ㄌㄚ4",
+ "ㄌㄧㄝ4"
+ ],
+ "䃴": [
+ "ㄓㄨ1"
+ ],
+ "䃵": [
+ "ㄋㄧㄠ3"
+ ],
+ "䃶": [
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+ "ㄍㄨㄟ1",
+ "ㄍㄨㄞ4"
+ ],
+ "䃷": [
+ "ㄧㄥ2"
+ ],
+ "䃸": [
+ "ㄒㄧㄢ4",
+ "ㄐㄧㄣ1"
+ ],
+ "䃹": [
+ "ㄌㄢ4"
+ ],
+ "䃺": [
+ "ㄇㄛ2"
+ ],
+ "䃻": [
+ "ㄅㄚ4"
+ ],
+ "䃽": [
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+ "ㄓ1",
+ "ㄈㄨ2"
+ ],
+ "䃾": [
+ "ㄅㄧ3"
+ ],
+ "䃿": [
+ "ㄈㄨ1"
+ ],
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+ ],
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+ "ㄌㄧㄡ4"
+ ],
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+ "ㄧㄤ1"
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+ "䄄": [
+ "ㄧㄣ1"
+ ],
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+ ],
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+ "ㄏㄨㄢ4"
+ ],
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+ ],
+ "䄈": [
+ "ㄉㄡ4",
+ "ㄒㄧㄤ2"
+ ],
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+ "ㄜ2"
+ ],
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+ "ㄧㄢ3",
+ "ㄧㄢ4"
+ ],
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+ "ㄔㄨㄛ4"
+ ],
+ "䄍": [
+ "ㄓㄚ4"
+ ],
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+ "ㄑㄧ3"
+ ],
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+ "ㄩ2"
+ ],
+ "䄐": [
+ "ㄑㄩㄢ4"
+ ],
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+ "ㄏㄨㄛ2"
+ ],
+ "䄒": [
+ "ㄋㄧㄝ4"
+ ],
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+ "ㄏㄨㄤ2"
+ ],
+ "䄔": [
+ "ㄐㄩ3"
+ ],
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+ "ㄕㄜ4"
+ ],
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+ "ㄆㄥ2"
+ ],
+ "䄙": [
+ "ㄇㄧㄥ2"
+ ],
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+ "ㄘㄠ2"
+ ],
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+ "ㄌㄡ2"
+ ],
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+ "ㄌㄧ2",
+ "ㄔ1"
+ ],
+ "䄝": [
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+ ],
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+ "ㄘㄨㄟ1"
+ ],
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+ "ㄕㄢ4"
+ ],
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+ "ㄉㄢ1"
+ ],
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+ "ㄑㄧ2"
+ ],
+ "䄤": [
+ "ㄌㄞ4",
+ "ㄌㄢ3"
+ ],
+ "䄥": [
+ "ㄌㄧㄥ2"
+ ],
+ "䄦": [
+ "ㄌㄧㄠ3"
+ ],
+ "䄧": [
+ "ㄖㄥ2"
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+ "䄨": [
+ "ㄩ2"
+ ],
+ "䄩": [
+ "ㄧ4"
+ ],
+ "䄪": [
+ "ㄉㄧㄠ3"
+ ],
+ "䄫": [
+ "ㄑㄧ3"
+ ],
+ "䄬": [
+ "ㄧ2"
+ ],
+ "䄭": [
+ "ㄋㄧㄢ2"
+ ],
+ "䄮": [
+ "ㄈㄨ1"
+ ],
+ "䄯": [
+ "ㄐㄧㄢ3"
+ ],
+ "䄰": [
+ "ㄧㄚ2"
+ ],
+ "䄱": [
+ "ㄈㄤ1"
+ ],
+ "䄲": [
+ "ㄖㄨㄟ4"
+ ],
+ "䄳": [
+ "ㄒㄧㄢ1"
+ ],
+ "䄶": [
+ "ㄅㄧ4",
+ "ㄅㄛ2"
+ ],
+ "䄷": [
+ "ㄕ2"
+ ],
+ "䄸": [
+ "ㄆㄛ4"
+ ],
+ "䄹": [
+ "ㄋㄧㄢ2"
+ ],
+ "䄺": [
+ "ㄓ4",
+ "ㄊㄧ2"
+ ],
+ "䄻": [
+ "ㄊㄠ2",
+ "ㄔㄠ2",
+ "ㄊㄧㄠ1"
+ ],
+ "䄼": [
+ "ㄊㄧㄢ3"
+ ],
+ "䄽": [
+ "ㄊㄧㄢ3"
+ ],
+ "䄾": [
+ "ㄖㄨ4",
+ "ㄖㄨㄥ3"
+ ],
+ "䄿": [
+ "ㄧ4"
+ ],
+ "䅀": [
+ "ㄌㄧㄝ4"
+ ],
+ "䅁": [
+ "ㄢ4"
+ ],
+ "䅂": [
+ "ㄏㄜ2"
+ ],
+ "䅃": [
+ "ㄑㄩㄥ2",
+ "ㄐㄩㄥ4"
+ ],
+ "䅄": [
+ "ㄌㄧ4"
+ ],
+ "䅅": [
+ "ㄍㄨㄟ1",
+ "ㄨㄚ1"
+ ],
+ "䅆": [
+ "ㄗ4"
+ ],
+ "䅇": [
+ "ㄙㄨ4"
+ ],
+ "䅈": [
+ "ㄩㄢ4"
+ ],
+ "䅉": [
+ "ㄧㄚ4"
+ ],
+ "䅊": [
+ "ㄔㄚ2"
+ ],
+ "䅋": [
+ "ㄨㄢ3"
+ ],
+ "䅌": [
+ "ㄐㄩㄢ1"
+ ],
+ "䅍": [
+ "ㄊㄧㄥ3"
+ ],
+ "䅎": [
+ "ㄧㄡ3"
+ ],
+ "䅏": [
+ "ㄏㄨㄟ4"
+ ],
+ "䅐": [
+ "ㄐㄧㄢ3"
+ ],
+ "䅑": [
+ "ㄖㄨㄟ2"
+ ],
+ "䅒": [
+ "ㄇㄤ2"
+ ],
+ "䅓": [
+ "ㄐㄩ3"
+ ],
+ "䅔": [
+ "ㄗ1"
+ ],
+ "䅕": [
+ "ㄐㄩ1"
+ ],
+ "䅖": [
+ "ㄢ1",
+ "ㄢ3",
+ "ㄧㄢ1",
+ "ㄧㄢ3",
+ "ㄧㄝ4"
+ ],
+ "䅗": [
+ "ㄙㄨㄟ4"
+ ],
+ "䅘": [
+ "ㄌㄞ2"
+ ],
+ "䅙": [
+ "ㄏㄨㄣ4"
+ ],
+ "䅚": [
+ "ㄑㄩㄢ3"
+ ],
+ "䅛": [
+ "ㄔㄤ1"
+ ],
+ "䅜": [
+ "ㄉㄨㄛ4",
+ "ㄔㄨㄟ2",
+ "ㄊㄨㄛ3"
+ ],
+ "䅝": [
+ "ㄎㄨㄥ1"
+ ],
+ "䅞": [
+ "ㄋㄜ4"
+ ],
+ "䅟": [
+ "ㄘㄢ3"
+ ],
+ "䅠": [
+ "ㄊㄧ2"
+ ],
+ "䅡": [
+ "ㄒㄩ3"
+ ],
+ "䅢": [
+ "ㄐㄧㄡ4"
+ ],
+ "䅣": [
+ "ㄏㄨㄤ2"
+ ],
+ "䅤": [
+ "ㄑㄧ4"
+ ],
+ "䅥": [
+ "ㄐㄧㄝ2",
+ "ㄍㄜ2"
+ ],
+ "䅦": [
+ "ㄇㄠ2"
+ ],
+ "䅧": [
+ "ㄧㄢ1",
+ "ㄧㄣ4"
+ ],
+ "䅩": [
+ "ㄓ3",
+ "ㄑㄧ2"
+ ],
+ "䅪": [
+ "ㄊㄨㄟ2"
+ ],
+ "䅬": [
+ "ㄞ4"
+ ],
+ "䅭": [
+ "ㄆㄤ2"
+ ],
+ "䅮": [
+ "ㄘㄤ4"
+ ],
+ "䅯": [
+ "ㄊㄤ2"
+ ],
+ "䅰": [
+ "ㄣ3"
+ ],
+ "䅱": [
+ "ㄏㄨㄣ4"
+ ],
+ "䅲": [
+ "ㄑㄧ2"
+ ],
+ "䅳": [
+ "ㄔㄨ2",
+ "ㄗㄡ1"
+ ],
+ "䅴": [
+ "ㄙㄨㄛ3"
+ ],
+ "䅵": [
+ "ㄓㄨㄛ2"
+ ],
+ "䅶": [
+ "ㄋㄡ4"
+ ],
+ "䅷": [
+ "ㄊㄨ2",
+ "ㄔㄨ2"
+ ],
+ "䅸": [
+ "ㄕㄣ1",
+ "ㄗㄨ2"
+ ],
+ "䅹": [
+ "ㄌㄡ3"
+ ],
+ "䅺": [
+ "ㄅㄧㄠ1",
+ "ㄇㄧㄠ3"
+ ],
+ "䅻": [
+ "ㄌㄧ2"
+ ],
+ "䅼": [
+ "ㄇㄢ2",
+ "ㄇㄢ4"
+ ],
+ "䅽": [
+ "ㄒㄧㄣ1",
+ "ㄍㄨ3"
+ ],
+ "䅾": [
+ "ㄘㄣ2",
+ "ㄑㄧㄢ2"
+ ],
+ "䅿": [
+ "ㄏㄨㄚ2",
+ "ㄏㄨㄤ2"
+ ],
+ "䆀": [
+ "ㄇㄟ3"
+ ],
+ "䆁": [
+ "ㄍㄠ1"
+ ],
+ "䆂": [
+ "ㄌㄧㄢ2"
+ ],
+ "䆃": [
+ "ㄉㄠ4"
+ ],
+ "䆄": [
+ "ㄓㄢ3"
+ ],
+ "䆅": [
+ "ㄗ1"
+ ],
+ "䆈": [
+ "ㄓ4"
+ ],
+ "䆉": [
+ "ㄅㄚ4"
+ ],
+ "䆊": [
+ "ㄘㄨㄟ4",
+ "ㄇㄟ4"
+ ],
+ "䆋": [
+ "ㄑㄧㄡ1"
+ ],
+ "䆍": [
+ "ㄌㄨㄥ2"
+ ],
+ "䆎": [
+ "ㄒㄧㄢ1"
+ ],
+ "䆏": [
+ "ㄈㄟ4",
+ "ㄈㄣ4"
+ ],
+ "䆐": [
+ "ㄍㄨㄛ2"
+ ],
+ "䆑": [
+ "ㄔㄥ2"
+ ],
+ "䆒": [
+ "ㄐㄧㄡ4"
+ ],
+ "䆓": [
+ "ㄜ4",
+ "ㄖㄨㄢ3"
+ ],
+ "䆔": [
+ "ㄔㄨㄥ1"
+ ],
+ "䆕": [
+ "ㄩㄝ4"
+ ],
+ "䆖": [
+ "ㄏㄨㄥ2"
+ ],
+ "䆗": [
+ "ㄧㄠ3"
+ ],
+ "䆘": [
+ "ㄧㄚ1",
+ "ㄗㄚ1"
+ ],
+ "䆙": [
+ "ㄧㄠ2"
+ ],
+ "䆚": [
+ "ㄊㄨㄥ2",
+ "ㄉㄨㄥ4"
+ ],
+ "䆛": [
+ "ㄓㄚ4"
+ ],
+ "䆜": [
+ "ㄧㄡ4"
+ ],
+ "䆝": [
+ "ㄒㄩㄝ4",
+ "ㄓㄨ2"
+ ],
+ "䆞": [
+ "ㄧㄠ3"
+ ],
+ "䆟": [
+ "ㄎㄜ4",
+ "ㄠ1"
+ ],
+ "䆠": [
+ "ㄏㄨㄢ4"
+ ],
+ "䆡": [
+ "ㄌㄤ2"
+ ],
+ "䆢": [
+ "ㄩㄝ4"
+ ],
+ "䆣": [
+ "ㄔㄣ2"
+ ],
+ "䆦": [
+ "ㄕㄣ4"
+ ],
+ "䆨": [
+ "ㄋㄧㄥ2"
+ ],
+ "䆩": [
+ "ㄇㄧㄥ2"
+ ],
+ "䆪": [
+ "ㄏㄨㄥ1"
+ ],
+ "䆫": [
+ "ㄔㄨㄤ1"
+ ],
+ "䆬": [
+ "ㄩㄣ3"
+ ],
+ "䆭": [
+ "ㄒㄩㄢ1"
+ ],
+ "䆮": [
+ "ㄐㄧㄣ4"
+ ],
+ "䆯": [
+ "ㄓㄨㄛ2"
+ ],
+ "䆰": [
+ "ㄩ1"
+ ],
+ "䆱": [
+ "ㄊㄢ1"
+ ],
+ "䆲": [
+ "ㄎㄤ1"
+ ],
+ "䆳": [
+ "ㄑㄩㄥ2"
+ ],
+ "䆵": [
+ "ㄔㄥ2"
+ ],
+ "䆶": [
+ "ㄐㄧㄡ1"
+ ],
+ "䆷": [
+ "ㄒㄩㄝ4"
+ ],
+ "䆸": [
+ "ㄓㄥ1"
+ ],
+ "䆹": [
+ "ㄔㄨㄥ1",
+ "ㄊㄨㄥ3"
+ ],
+ "䆺": [
+ "ㄆㄢ1"
+ ],
+ "䆻": [
+ "ㄑㄧㄠ4"
+ ],
+ "䆽": [
+ "ㄑㄩ2"
+ ],
+ "䆾": [
+ "ㄌㄢ2",
+ "ㄌㄢ4"
+ ],
+ "䆿": [
+ "ㄧ4"
+ ],
+ "䇀": [
+ "ㄖㄨㄥ2"
+ ],
+ "䇁": [
+ "ㄙ1"
+ ],
+ "䇂": [
+ "ㄑㄧㄢ1"
+ ],
+ "䇃": [
+ "ㄙ4"
+ ],
+ "䇅": [
+ "ㄈㄚ2"
+ ],
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+ "ㄇㄥ2"
+ ],
+ "䇈": [
+ "ㄏㄨㄚ4"
+ ],
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+ "ㄏㄞ4"
+ ],
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+ "ㄑㄧㄠ4"
+ ],
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+ "ㄔㄨ4",
+ "ㄑㄧ4"
+ ],
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+ "ㄑㄩㄝ4"
+ ],
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+ "ㄉㄨㄟ4"
+ ],
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+ "ㄌㄧ4"
+ ],
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+ "ㄅㄚ4",
+ "ㄆㄧ1"
+ ],
+ "䇒": [
+ "ㄐㄧㄝ4"
+ ],
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+ "ㄒㄩ1"
+ ],
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+ "ㄌㄨㄛ4",
+ "ㄋㄨㄛ4"
+ ],
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+ "ㄩㄣ3"
+ ],
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+ "ㄏㄨ4"
+ ],
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+ "ㄧㄣ3"
+ ],
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+ "ㄓ3"
+ ],
+ "䇜": [
+ "ㄑㄧㄢ3",
+ "ㄑㄧㄢ4"
+ ],
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+ "ㄍㄢ1",
+ "ㄍㄢ3"
+ ],
+ "䇟": [
+ "ㄐㄧㄢ4"
+ ],
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+ "ㄓㄨ4"
+ ],
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+ "ㄓㄨ4"
+ ],
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+ "ㄎㄨ3",
+ "ㄍㄨ4"
+ ],
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+ "ㄋㄧㄝ4"
+ ],
+ "䇤": [
+ "ㄖㄨㄟ4"
+ ],
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+ "ㄗㄜ2"
+ ],
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+ "ㄤ3",
+ "ㄧㄥ1"
+ ],
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+ "ㄓ4",
+ "ㄐㄧ1"
+ ],
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+ "ㄍㄨㄥ4",
+ "ㄒㄧㄤ2"
+ ],
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+ "ㄧ4",
+ "ㄧㄝ4"
+ ],
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+ "ㄔ1"
+ ],
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+ "ㄐㄧ1"
+ ],
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+ "ㄕㄨ1",
+ "ㄔㄨㄤ3"
+ ],
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+ "ㄌㄠ3"
+ ],
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+ "ㄖㄣ4"
+ ],
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+ "ㄖㄨㄥ2"
+ ],
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+ "ㄓㄥ1"
+ ],
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+ "ㄋㄚ4"
+ ],
+ "䇲": [
+ "ㄘㄜ4",
+ "ㄐㄧㄚ1"
+ ],
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+ "ㄧ2"
+ ],
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+ "ㄐㄩㄝ2",
+ "ㄨㄛ4"
+ ],
+ "䇷": [
+ "ㄅㄧㄝ2"
+ ],
+ "䇸": [
+ "ㄔㄥ2",
+ "ㄊㄧㄥ1"
+ ],
+ "䇹": [
+ "ㄐㄩㄣ4"
+ ],
+ "䇺": [
+ "ㄉㄡ4"
+ ],
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+ "ㄨㄟ3"
+ ],
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+ "ㄧ4"
+ ],
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+ "ㄓ4"
+ ],
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+ "ㄧㄢ2"
+ ],
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+ "ㄙㄢ1"
+ ],
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+ ],
+ "䈂": [
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+ ],
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+ "ㄓㄠ3"
+ ],
+ "䈄": [
+ "ㄏㄢ2"
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+ "䈅": [
+ "ㄩ4"
+ ],
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+ "ㄉㄞ4"
+ ],
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+ "ㄓㄠ4"
+ ],
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+ "ㄈㄟ2",
+ "ㄅㄚ1"
+ ],
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+ "ㄕㄚ4",
+ "ㄑㄧㄝ4"
+ ],
+ "䈊": [
+ "ㄌㄧㄥ2"
+ ],
+ "䈋": [
+ "ㄊㄚ4"
+ ],
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+ "ㄑㄩ1"
+ ],
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+ "ㄇㄤ2",
+ "ㄇㄥ2"
+ ],
+ "䈎": [
+ "ㄧㄝ4"
+ ],
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+ "ㄅㄠ2",
+ "ㄈㄨ2"
+ ],
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+ "ㄍㄨㄟ4"
+ ],
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+ "ㄍㄨㄚ3"
+ ],
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+ "ㄋㄢ3",
+ "ㄌㄢ3"
+ ],
+ "䈓": [
+ "ㄍㄜ2",
+ "ㄑㄧㄚ4"
+ ],
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+ "ㄕ2",
+ "ㄊㄧ2",
+ "ㄐㄧ1",
+ "ㄧ2"
+ ],
+ "䈖": [
+ "ㄎㄜ1"
+ ],
+ "䈗": [
+ "ㄙㄨㄛ3"
+ ],
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+ "ㄘ2"
+ ],
+ "䈙": [
+ "ㄓㄡ4"
+ ],
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+ "ㄊㄞ2"
+ ],
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+ "ㄎㄨㄞ4"
+ ],
+ "䈜": [
+ "ㄑㄧㄣ4"
+ ],
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+ "ㄒㄩ1"
+ ],
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+ "ㄉㄨ3"
+ ],
+ "䈟": [
+ "ㄘㄜ4",
+ "ㄓㄚ2"
+ ],
+ "䈠": [
+ "ㄏㄨㄢ3",
+ "ㄩㄢ4"
+ ],
+ "䈡": [
+ "ㄘㄨㄥ1",
+ "ㄙㄨㄥ1"
+ ],
+ "䈢": [
+ "ㄙㄞ3",
+ "ㄒㄧ3"
+ ],
+ "䈣": [
+ "ㄓㄥ4"
+ ],
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+ "ㄑㄧㄢ2"
+ ],
+ "䈥": [
+ "ㄐㄧㄣ1"
+ ],
+ "䈦": [
+ "ㄗㄨㄥ1"
+ ],
+ "䈧": [
+ "ㄨㄟ3"
+ ],
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+ "ㄒㄧ4"
+ ],
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+ "ㄋㄚ4"
+ ],
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+ "ㄆㄨ2"
+ ],
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+ "ㄙㄡ1",
+ "ㄏㄨㄞ2"
+ ],
+ "䈮": [
+ "ㄐㄩ4"
+ ],
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+ "ㄓㄣ1"
+ ],
+ "䈰": [
+ "ㄕㄠ1"
+ ],
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+ "ㄊㄠ1"
+ ],
+ "䈲": [
+ "ㄅㄢ1",
+ "ㄆㄢ2"
+ ],
+ "䈳": [
+ "ㄊㄚ4"
+ ],
+ "䈴": [
+ "ㄑㄧㄢ4"
+ ],
+ "䈵": [
+ "ㄨㄥ1"
+ ],
+ "䈶": [
+ "ㄖㄨㄥ2"
+ ],
+ "䈷": [
+ "ㄌㄨㄛ4"
+ ],
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+ "ㄏㄨ2"
+ ],
+ "䈹": [
+ "ㄙㄡ3"
+ ],
+ "䈺": [
+ "ㄓㄨㄥ1"
+ ],
+ "䈻": [
+ "ㄆㄨ2"
+ ],
+ "䈼": [
+ "ㄇㄧㄝ4",
+ "ㄇㄧ4"
+ ],
+ "䈽": [
+ "ㄐㄧㄣ1"
+ ],
+ "䈾": [
+ "ㄕㄠ1",
+ "ㄕㄨㄛ4"
+ ],
+ "䈿": [
+ "ㄇㄧ4"
+ ],
+ "䉀": [
+ "ㄕㄨ4"
+ ],
+ "䉁": [
+ "ㄌㄧㄥ2"
+ ],
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+ "ㄌㄟ3"
+ ],
+ "䉃": [
+ "ㄐㄧㄤ3"
+ ],
+ "䉄": [
+ "ㄌㄥ2"
+ ],
+ "䉅": [
+ "ㄓ4"
+ ],
+ "䉆": [
+ "ㄉㄧㄠ3"
+ ],
+ "䉈": [
+ "ㄙㄢ3"
+ ],
+ "䉉": [
+ "ㄍㄨ1",
+ "ㄏㄨ2"
+ ],
+ "䉊": [
+ "ㄈㄢ4"
+ ],
+ "䉋": [
+ "ㄇㄟ4"
+ ],
+ "䉌": [
+ "ㄙㄨㄟ4"
+ ],
+ "䉍": [
+ "ㄐㄧㄢ3"
+ ],
+ "䉎": [
+ "ㄊㄤ2"
+ ],
+ "䉏": [
+ "ㄒㄧㄝ4"
+ ],
+ "䉐": [
+ "ㄎㄨ1"
+ ],
+ "䉑": [
+ "ㄨ2"
+ ],
+ "䉒": [
+ "ㄈㄢ2"
+ ],
+ "䉓": [
+ "ㄌㄨㄛ4"
+ ],
+ "䉔": [
+ "ㄘㄢ1"
+ ],
+ "䉕": [
+ "ㄘㄥ2"
+ ],
+ "䉖": [
+ "ㄌㄧㄥ2"
+ ],
+ "䉗": [
+ "ㄧ1"
+ ],
+ "䉘": [
+ "ㄘㄨㄥ2"
+ ],
+ "䉙": [
+ "ㄩㄣ2"
+ ],
+ "䉚": [
+ "ㄇㄥ2"
+ ],
+ "䉛": [
+ "ㄩ4",
+ "ㄠ3"
+ ],
+ "䉜": [
+ "ㄓ4"
+ ],
+ "䉝": [
+ "ㄧ3"
+ ],
+ "䉞": [
+ "ㄉㄢ3"
+ ],
+ "䉟": [
+ "ㄏㄨㄛ4"
+ ],
+ "䉠": [
+ "ㄨㄟ2"
+ ],
+ "䉡": [
+ "ㄊㄢ2"
+ ],
+ "䉢": [
+ "ㄙㄜ4"
+ ],
+ "䉣": [
+ "ㄒㄧㄝ4"
+ ],
+ "䉤": [
+ "ㄙㄡ3"
+ ],
+ "䉥": [
+ "ㄙㄨㄥ3"
+ ],
+ "䉦": [
+ "ㄑㄧㄢ1"
+ ],
+ "䉧": [
+ "ㄌㄧㄡ2",
+ "ㄌㄧㄡ3"
+ ],
+ "䉨": [
+ "ㄧ4"
+ ],
+ "䉪": [
+ "ㄌㄟ4"
+ ],
+ "䉫": [
+ "ㄌㄧ2"
+ ],
+ "䉬": [
+ "ㄈㄟ4"
+ ],
+ "䉭": [
+ "ㄌㄧㄝ4"
+ ],
+ "䉮": [
+ "ㄌㄧㄣ4"
+ ],
+ "䉯": [
+ "ㄒㄧㄢ4"
+ ],
+ "䉰": [
+ "ㄒㄧㄠ4",
+ "ㄐㄧㄠ3"
+ ],
+ "䉱": [
+ "ㄡ1"
+ ],
+ "䉲": [
+ "ㄇㄧ2"
+ ],
+ "䉳": [
+ "ㄒㄧㄢ1",
+ "ㄒㄧㄢ3"
+ ],
+ "䉴": [
+ "ㄖㄤ2"
+ ],
+ "䉵": [
+ "ㄓㄨㄢ4",
+ "ㄗㄨㄢ3"
+ ],
+ "䉶": [
+ "ㄕㄨㄤ1"
+ ],
+ "䉷": [
+ "ㄧㄢ2"
+ ],
+ "䉸": [
+ "ㄅㄧㄢ4"
+ ],
+ "䉹": [
+ "ㄌㄧㄥ2"
+ ],
+ "䉺": [
+ "ㄏㄨㄥ2"
+ ],
+ "䉻": [
+ "ㄑㄧ2"
+ ],
+ "䉼": [
+ "ㄌㄧㄠ4"
+ ],
+ "䉽": [
+ "ㄅㄢ3"
+ ],
+ "䉾": [
+ "ㄅㄧ4"
+ ],
+ "䉿": [
+ "ㄏㄨ2"
+ ],
+ "䊀": [
+ "ㄏㄨ2"
+ ],
+ "䊂": [
+ "ㄘㄜ4",
+ "ㄙㄜ4"
+ ],
+ "䊃": [
+ "ㄆㄟ4"
+ ],
+ "䊄": [
+ "ㄑㄩㄥ2"
+ ],
+ "䊅": [
+ "ㄇㄧㄥ2"
+ ],
+ "䊆": [
+ "ㄐㄧㄡ4",
+ "ㄑㄧㄡ3"
+ ],
+ "䊇": [
+ "ㄅㄨ4"
+ ],
+ "䊈": [
+ "ㄇㄟ2"
+ ],
+ "䊉": [
+ "ㄙㄢ3"
+ ],
+ "䊊": [
+ "ㄨㄟ4"
+ ],
+ "䊍": [
+ "ㄌㄧ2"
+ ],
+ "䊎": [
+ "ㄑㄩㄢ3",
+ "ㄑㄩㄣ2"
+ ],
+ "䊐": [
+ "ㄏㄨㄣ2"
+ ],
+ "䊑": [
+ "ㄒㄧㄤ3"
+ ],
+ "䊓": [
+ "ㄕ4"
+ ],
+ "䊔": [
+ "ㄧㄥ2"
+ ],
+ "䊖": [
+ "ㄋㄢ3"
+ ],
+ "䊗": [
+ "ㄏㄨㄤ2"
+ ],
+ "䊘": [
+ "ㄐㄧㄡ4"
+ ],
+ "䊙": [
+ "ㄧㄢ1"
+ ],
+ "䊛": [
+ "ㄙㄚ4"
+ ],
+ "䊜": [
+ "ㄊㄨㄢ2"
+ ],
+ "䊝": [
+ "ㄒㄧㄝ4"
+ ],
+ "䊞": [
+ "ㄓㄜ2",
+ "ㄔㄜ4"
+ ],
+ "䊟": [
+ "ㄇㄣ2"
+ ],
+ "䊠": [
+ "ㄒㄧ4"
+ ],
+ "䊡": [
+ "ㄇㄢ2"
+ ],
+ "䊣": [
+ "ㄏㄨㄤ2"
+ ],
+ "䊤": [
+ "ㄊㄢ2",
+ "ㄉㄢ4"
+ ],
+ "䊥": [
+ "ㄒㄧㄠ4"
+ ],
+ "䊦": [
+ "ㄧㄝ4"
+ ],
+ "䊧": [
+ "ㄅㄧ4"
+ ],
+ "䊨": [
+ "ㄌㄨㄛ2"
+ ],
+ "䊩": [
+ "ㄈㄢ2"
+ ],
+ "䊪": [
+ "ㄌㄧ4"
+ ],
+ "䊫": [
+ "ㄘㄨㄟ3"
+ ],
+ "䊬": [
+ "ㄔㄨㄚ1"
+ ],
+ "䊭": [
+ "ㄉㄠ4",
+ "ㄔㄡ2"
+ ],
+ "䊮": [
+ "ㄉㄧ2"
+ ],
+ "䊯": [
+ "ㄎㄨㄤ4"
+ ],
+ "䊰": [
+ "ㄔㄨ2"
+ ],
+ "䊱": [
+ "ㄒㄧㄢ1"
+ ],
+ "䊲": [
+ "ㄔㄢ4",
+ "ㄔㄢ3"
+ ],
+ "䊳": [
+ "ㄇㄧ2",
+ "ㄇㄛ2"
+ ],
+ "䊴": [
+ "ㄑㄧㄢ4"
+ ],
+ "䊵": [
+ "ㄑㄧㄡ2"
+ ],
+ "䊶": [
+ "ㄓㄣ4"
+ ],
+ "䊺": [
+ "ㄏㄨ4"
+ ],
+ "䊻": [
+ "ㄍㄢ1"
+ ],
+ "䊼": [
+ "ㄔ3"
+ ],
+ "䊽": [
+ "ㄍㄨㄞ4",
+ "ㄐㄩㄝ2"
+ ],
+ "䊾": [
+ "ㄇㄨ4"
+ ],
+ "䊿": [
+ "ㄅㄛ2"
+ ],
+ "䋀": [
+ "ㄏㄨㄚ4"
+ ],
+ "䋁": [
+ "ㄍㄥ3"
+ ],
+ "䋂": [
+ "ㄧㄠ2"
+ ],
+ "䋃": [
+ "ㄇㄠ4"
+ ],
+ "䋄": [
+ "ㄨㄤ3"
+ ],
+ "䋈": [
+ "ㄖㄨ2",
+ "ㄋㄚ3"
+ ],
+ "䋉": [
+ "ㄒㄩㄝ2"
+ ],
+ "䋊": [
+ "ㄓㄥ1"
+ ],
+ "䋋": [
+ "ㄇㄧㄣ2"
+ ],
+ "䋌": [
+ "ㄐㄧㄤ3"
+ ],
+ "䋎": [
+ "ㄓㄢ4"
+ ],
+ "䋏": [
+ "ㄗㄨㄛ2",
+ "ㄓㄚ4"
+ ],
+ "䋐": [
+ "ㄩㄝ4"
+ ],
+ "䋑": [
+ "ㄌㄧㄝ4"
+ ],
+ "䋓": [
+ "ㄓㄡ4"
+ ],
+ "䋔": [
+ "ㄅㄧ4"
+ ],
+ "䋕": [
+ "ㄖㄣ4"
+ ],
+ "䋖": [
+ "ㄩ4"
+ ],
+ "䋘": [
+ "ㄔㄨㄛ4"
+ ],
+ "䋙": [
+ "ㄦ3"
+ ],
+ "䋚": [
+ "ㄧ4"
+ ],
+ "䋛": [
+ "ㄇㄧ3"
+ ],
+ "䋜": [
+ "ㄑㄧㄥ4"
+ ],
+ "䋞": [
+ "ㄨㄤ3"
+ ],
+ "䋟": [
+ "ㄐㄧ4"
+ ],
+ "䋠": [
+ "ㄅㄨ3"
+ ],
+ "䋢": [
+ "ㄅㄧㄝ1"
+ ],
+ "䋣": [
+ "ㄈㄢ2",
+ "ㄆㄛ2"
+ ],
+ "䋤": [
+ "ㄩㄝ4"
+ ],
+ "䋥": [
+ "ㄌㄧ2"
+ ],
+ "䋦": [
+ "ㄈㄢ2"
+ ],
+ "䋧": [
+ "ㄑㄩ2"
+ ],
+ "䋨": [
+ "ㄈㄨ3"
+ ],
+ "䋩": [
+ "ㄦ2"
+ ],
+ "䋪": [
+ "ㄜ1"
+ ],
+ "䋫": [
+ "ㄓㄥ1"
+ ],
+ "䋬": [
+ "ㄊㄧㄢ1"
+ ],
+ "䋭": [
+ "ㄩ4"
+ ],
+ "䋮": [
+ "ㄐㄧㄣ4"
+ ],
+ "䋯": [
+ "ㄑㄧ3"
+ ],
+ "䋰": [
+ "ㄐㄩ2"
+ ],
+ "䋱": [
+ "ㄌㄞ2"
+ ],
+ "䋲": [
+ "ㄔㄜ3"
+ ],
+ "䋳": [
+ "ㄅㄟ3"
+ ],
+ "䋴": [
+ "ㄋㄧㄡ4"
+ ],
+ "䋵": [
+ "ㄧ4",
+ "ㄧㄝ4"
+ ],
+ "䋶": [
+ "ㄒㄩ3",
+ "ㄒㄧㄝ2"
+ ],
+ "䋷": [
+ "ㄇㄡ2"
+ ],
+ "䋸": [
+ "ㄒㄩㄣ2"
+ ],
+ "䋹": [
+ "ㄈㄨ2"
+ ],
+ "䋻": [
+ "ㄋㄧㄣ2"
+ ],
+ "䋼": [
+ "ㄊㄧㄥ1",
+ "ㄧㄥ2"
+ ],
+ "䋽": [
+ "ㄅㄥ3"
+ ],
+ "䋾": [
+ "ㄓㄚ3",
+ "ㄋㄚ4"
+ ],
+ "䋿": [
+ "ㄨㄟ1"
+ ],
+ "䌀": [
+ "ㄎㄜ1"
+ ],
+ "䌁": [
+ "ㄧㄠ1"
+ ],
+ "䌂": [
+ "ㄡ4"
+ ],
+ "䌃": [
+ "ㄒㄧㄠ1",
+ "ㄕㄨㄛ4"
+ ],
+ "䌄": [
+ "ㄍㄥ3"
+ ],
+ "䌅": [
+ "ㄊㄤ2"
+ ],
+ "䌆": [
+ "ㄍㄨㄟ4"
+ ],
+ "䌇": [
+ "ㄏㄨㄟ4"
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+ "ㄏㄢ4"
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+ "ㄏㄨㄣ4"
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+ "ㄅㄧㄢ4"
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+ "ㄍㄡ1"
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+ "ㄘㄨㄛ2"
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+ "ㄏㄜ4"
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+ "ㄑㄩㄝ4"
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+ "ㄎㄞ3"
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+ "䐰": [
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+ ],
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+ "ㄊㄨ2"
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+ "䔛": [
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+ "ㄕㄠ1",
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+ "ㄔㄥ2"
+ ],
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+ ],
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+ "ㄔㄨㄚ4"
+ ],
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+ "ㄊㄞ2"
+ ],
+ "䔷": [
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+ ],
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+ "ㄅㄧㄠ1"
+ ],
+ "䔹": [
+ "ㄙㄨㄟ4"
+ ],
+ "䔺": [
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+ "ㄨㄟ3"
+ ],
+ "䔻": [
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+ "ㄉㄨㄟ1"
+ ],
+ "䔼": [
+ "ㄙㄜ4",
+ "ㄗㄜ2"
+ ],
+ "䔽": [
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+ ],
+ "䔾": [
+ "ㄑㄧ4",
+ "ㄜ4"
+ ],
+ "䔿": [
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+ "䕀": [
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+ ],
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+ ],
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+ "ㄔㄨㄟ4"
+ ],
+ "䕔": [
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+ ],
+ "䕕": [
+ "ㄇㄢ4"
+ ],
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+ "ㄅㄧ4"
+ ],
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+ "ㄌㄧㄥ3"
+ ],
+ "䕙": [
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+ ],
+ "䕚": [
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+ "䕛": [
+ "ㄐㄧㄚ2"
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+ "䕝": [
+ "ㄔㄥ1"
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+ "ㄌㄤ4"
+ ],
+ "䕟": [
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+ ],
+ "䕠": [
+ "ㄈㄟ4"
+ ],
+ "䕡": [
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+ ],
+ "䕢": [
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+ ],
+ "䕣": [
+ "ㄏㄜ2"
+ ],
+ "䕤": [
+ "ㄐㄧ1"
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+ "䕥": [
+ "ㄋㄧ3"
+ ],
+ "䕦": [
+ "ㄧㄥ2"
+ ],
+ "䕧": [
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+ "ㄐㄧㄠ3"
+ ],
+ "䕨": [
+ "ㄊㄥ2"
+ ],
+ "䕩": [
+ "ㄌㄠ3"
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+ "䕪": [
+ "ㄗㄜ2"
+ ],
+ "䕫": [
+ "ㄎㄨㄟ2"
+ ],
+ "䕭": [
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+ "ㄒㄧㄢ2"
+ ],
+ "䕮": [
+ "ㄐㄩ2",
+ "ㄑㄩ1"
+ ],
+ "䕯": [
+ "ㄆㄧㄠ2"
+ ],
+ "䕰": [
+ "ㄈㄢ2"
+ ],
+ "䕱": [
+ "ㄊㄡ2"
+ ],
+ "䕲": [
+ "ㄌㄧㄣ3"
+ ],
+ "䕳": [
+ "ㄇㄧ2"
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+ "䕴": [
+ "ㄓㄨㄛ2"
+ ],
+ "䕵": [
+ "ㄒㄧㄝ2"
+ ],
+ "䕶": [
+ "ㄏㄨ4"
+ ],
+ "䕷": [
+ "ㄇㄧ2"
+ ],
+ "䕸": [
+ "ㄐㄧㄝ1"
+ ],
+ "䕹": [
+ "ㄗㄚ2"
+ ],
+ "䕺": [
+ "ㄘㄨㄥ2"
+ ],
+ "䕻": [
+ "ㄌㄧ4"
+ ],
+ "䕼": [
+ "ㄖㄢ2"
+ ],
+ "䕽": [
+ "ㄓㄨ2"
+ ],
+ "䕾": [
+ "ㄧㄣ2",
+ "ㄧㄢ2"
+ ],
+ "䕿": [
+ "ㄏㄢ4"
+ ],
+ "䖁": [
+ "ㄧ4"
+ ],
+ "䖂": [
+ "ㄌㄨㄢ2"
+ ],
+ "䖃": [
+ "ㄩㄝ4",
+ "ㄌㄚ3"
+ ],
+ "䖄": [
+ "ㄖㄢ2"
+ ],
+ "䖅": [
+ "ㄌㄧㄥ2"
+ ],
+ "䖆": [
+ "ㄋㄧㄤ4"
+ ],
+ "䖇": [
+ "ㄩ4"
+ ],
+ "䖈": [
+ "ㄋㄩㄝ4"
+ ],
+ "䖊": [
+ "ㄧ4"
+ ],
+ "䖋": [
+ "ㄋㄩㄝ4"
+ ],
+ "䖌": [
+ "ㄧ4"
+ ],
+ "䖍": [
+ "ㄑㄧㄢ2"
+ ],
+ "䖎": [
+ "ㄒㄧㄚ2"
+ ],
+ "䖏": [
+ "ㄔㄨ3",
+ "ㄔㄨ4"
+ ],
+ "䖐": [
+ "ㄧㄣ2"
+ ],
+ "䖑": [
+ "ㄇㄧ4"
+ ],
+ "䖒": [
+ "ㄒㄧ1"
+ ],
+ "䖓": [
+ "ㄋㄚ4"
+ ],
+ "䖔": [
+ "ㄎㄢ3",
+ "ㄏㄢ4"
+ ],
+ "䖕": [
+ "ㄗㄨ3"
+ ],
+ "䖖": [
+ "ㄒㄧㄚ2"
+ ],
+ "䖗": [
+ "ㄧㄢ2"
+ ],
+ "䖘": [
+ "ㄊㄨ2"
+ ],
+ "䖙": [
+ "ㄊㄧ1"
+ ],
+ "䖚": [
+ "ㄨ1"
+ ],
+ "䖛": [
+ "ㄙㄨㄛ3"
+ ],
+ "䖜": [
+ "ㄧㄣ2"
+ ],
+ "䖝": [
+ "ㄔㄨㄥ2"
+ ],
+ "䖞": [
+ "ㄓㄡ3"
+ ],
+ "䖟": [
+ "ㄇㄤ3"
+ ],
+ "䖠": [
+ "ㄩㄢ2"
+ ],
+ "䖡": [
+ "ㄋㄩ4"
+ ],
+ "䖢": [
+ "ㄇㄧㄠ2"
+ ],
+ "䖣": [
+ "ㄗㄠ3"
+ ],
+ "䖤": [
+ "ㄨㄢ3"
+ ],
+ "䖥": [
+ "ㄌㄧ2"
+ ],
+ "䖦": [
+ "ㄑㄩ1",
+ "ㄓㄨㄛ1"
+ ],
+ "䖧": [
+ "ㄋㄚ4"
+ ],
+ "䖨": [
+ "ㄕ2",
+ "ㄓ4"
+ ],
+ "䖩": [
+ "ㄅㄧ4"
+ ],
+ "䖪": [
+ "ㄗ1",
+ "ㄘ1"
+ ],
+ "䖫": [
+ "ㄅㄤ4"
+ ],
+ "䖭": [
+ "ㄐㄩㄢ4",
+ "ㄐㄩㄢ1"
+ ],
+ "䖮": [
+ "ㄒㄧㄤ3"
+ ],
+ "䖯": [
+ "ㄎㄨㄟ2",
+ "ㄨㄚ1"
+ ],
+ "䖰": [
+ "ㄆㄞ4"
+ ],
+ "䖱": [
+ "ㄎㄨㄤ1"
+ ],
+ "䖲": [
+ "ㄒㄩㄣ2",
+ "ㄗㄨㄥ1"
+ ],
+ "䖳": [
+ "ㄓㄚ4",
+ "ㄓㄜ2"
+ ],
+ "䖴": [
+ "ㄧㄠ2"
+ ],
+ "䖵": [
+ "ㄎㄨㄣ1"
+ ],
+ "䖶": [
+ "ㄏㄨㄟ1"
+ ],
+ "䖷": [
+ "ㄒㄧ1"
+ ],
+ "䖸": [
+ "ㄜ2"
+ ],
+ "䖹": [
+ "ㄧㄤ2",
+ "ㄇㄧ3"
+ ],
+ "䖺": [
+ "ㄊㄧㄠ2"
+ ],
+ "䖻": [
+ "ㄧㄡ2"
+ ],
+ "䖼": [
+ "ㄐㄩㄝ2"
+ ],
+ "䖽": [
+ "ㄌㄧ2"
+ ],
+ "䖿": [
+ "ㄌㄧ2"
+ ],
+ "䗀": [
+ "ㄔㄥ1"
+ ],
+ "䗁": [
+ "ㄐㄧ4",
+ "ㄑㄧ1"
+ ],
+ "䗂": [
+ "ㄏㄨ3"
+ ],
+ "䗃": [
+ "ㄓㄢ4"
+ ],
+ "䗄": [
+ "ㄈㄨ3"
+ ],
+ "䗅": [
+ "ㄔㄤ2"
+ ],
+ "䗆": [
+ "ㄍㄨㄢ3",
+ "ㄍㄨㄢ1"
+ ],
+ "䗇": [
+ "ㄐㄩ2",
+ "ㄑㄩ1"
+ ],
+ "䗈": [
+ "ㄇㄥ2"
+ ],
+ "䗉": [
+ "ㄔㄤ1"
+ ],
+ "䗊": [
+ "ㄊㄢ4"
+ ],
+ "䗋": [
+ "ㄇㄡ2"
+ ],
+ "䗌": [
+ "ㄒㄧㄥ1"
+ ],
+ "䗍": [
+ "ㄌㄧ3",
+ "ㄌㄨㄛ2"
+ ],
+ "䗎": [
+ "ㄧㄢ1"
+ ],
+ "䗏": [
+ "ㄙㄡ1"
+ ],
+ "䗐": [
+ "ㄕ1"
+ ],
+ "䗑": [
+ "ㄧ4"
+ ],
+ "䗒": [
+ "ㄅㄧㄥ4"
+ ],
+ "䗓": [
+ "ㄘㄨㄥ1"
+ ],
+ "䗔": [
+ "ㄏㄡ2",
+ "ㄏㄡ4"
+ ],
+ "䗕": [
+ "ㄨㄢ3"
+ ],
+ "䗖": [
+ "ㄉㄧ4"
+ ],
+ "䗗": [
+ "ㄐㄧ1"
+ ],
+ "䗘": [
+ "ㄍㄜ2"
+ ],
+ "䗙": [
+ "ㄏㄢ2"
+ ],
+ "䗚": [
+ "ㄅㄛ2"
+ ],
+ "䗛": [
+ "ㄒㄧㄡ1"
+ ],
+ "䗜": [
+ "ㄌㄧㄡ2"
+ ],
+ "䗝": [
+ "ㄘㄢ2"
+ ],
+ "䗞": [
+ "ㄘㄢ2"
+ ],
+ "䗟": [
+ "ㄧ4"
+ ],
+ "䗠": [
+ "ㄒㄩㄢ2"
+ ],
+ "䗡": [
+ "ㄧㄢ2",
+ "ㄧㄢ1"
+ ],
+ "䗢": [
+ "ㄗㄠ3"
+ ],
+ "䗣": [
+ "ㄏㄢ4"
+ ],
+ "䗤": [
+ "ㄩㄥ2"
+ ],
+ "䗥": [
+ "ㄗㄨㄥ1"
+ ],
+ "䗧": [
+ "ㄎㄤ1"
+ ],
+ "䗨": [
+ "ㄩ2"
+ ],
+ "䗩": [
+ "ㄑㄧ1"
+ ],
+ "䗪": [
+ "ㄓㄜ4"
+ ],
+ "䗫": [
+ "ㄇㄚ2"
+ ],
+ "䗮": [
+ "ㄕㄨㄤ3"
+ ],
+ "䗯": [
+ "ㄐㄧㄣ4"
+ ],
+ "䗰": [
+ "ㄍㄨㄢ4"
+ ],
+ "䗱": [
+ "ㄆㄨ2",
+ "ㄆㄨ4",
+ "ㄆㄨ3"
+ ],
+ "䗲": [
+ "ㄌㄧㄣ4"
+ ],
+ "䗴": [
+ "ㄊㄧㄥ2"
+ ],
+ "䗵": [
+ "ㄐㄧㄤ1"
+ ],
+ "䗶": [
+ "ㄌㄚ4"
+ ],
+ "䗷": [
+ "ㄧ4"
+ ],
+ "䗸": [
+ "ㄩㄥ1"
+ ],
+ "䗹": [
+ "ㄘ4"
+ ],
+ "䗺": [
+ "ㄧㄢ3",
+ "ㄉㄢ4"
+ ],
+ "䗻": [
+ "ㄐㄧㄝ2"
+ ],
+ "䗼": [
+ "ㄒㄩㄣ1"
+ ],
+ "䗽": [
+ "ㄨㄟ4"
+ ],
+ "䗾": [
+ "ㄒㄧㄢ3"
+ ],
+ "䗿": [
+ "ㄋㄧㄥ2",
+ "ㄋㄧㄥ3"
+ ],
+ "䘀": [
+ "ㄈㄨ4"
+ ],
+ "䘁": [
+ "ㄍㄜ2"
+ ],
+ "䘃": [
+ "ㄇㄛ4"
+ ],
+ "䘄": [
+ "ㄓㄨ4"
+ ],
+ "䘅": [
+ "ㄋㄞ2"
+ ],
+ "䘆": [
+ "ㄒㄧㄢ3"
+ ],
+ "䘇": [
+ "ㄨㄣ2"
+ ],
+ "䘈": [
+ "ㄌㄧ4"
+ ],
+ "䘉": [
+ "ㄘㄢ2"
+ ],
+ "䘊": [
+ "ㄇㄧㄝ4"
+ ],
+ "䘋": [
+ "ㄐㄧㄢ1"
+ ],
+ "䘌": [
+ "ㄋㄧ4"
+ ],
+ "䘍": [
+ "ㄔㄞ4"
+ ],
+ "䘎": [
+ "ㄨㄢ1"
+ ],
+ "䘏": [
+ "ㄒㄩ4"
+ ],
+ "䘐": [
+ "ㄋㄩ4"
+ ],
+ "䘑": [
+ "ㄇㄞ4"
+ ],
+ "䘒": [
+ "ㄗㄨㄟ1"
+ ],
+ "䘓": [
+ "ㄎㄢ4"
+ ],
+ "䘔": [
+ "ㄎㄚ1"
+ ],
+ "䘕": [
+ "ㄏㄤ2"
+ ],
+ "䘘": [
+ "ㄩ4",
+ "ㄙㄨ4"
+ ],
+ "䘙": [
+ "ㄨㄟ4"
+ ],
+ "䘚": [
+ "ㄓㄨ2"
+ ],
+ "䘝": [
+ "ㄧ4"
+ ],
+ "䘟": [
+ "ㄉㄧㄠ1"
+ ],
+ "䘠": [
+ "ㄈㄨ2"
+ ],
+ "䘡": [
+ "ㄅㄧ3"
+ ],
+ "䘢": [
+ "ㄓㄨ3"
+ ],
+ "䘣": [
+ "ㄗ3",
+ "ㄓ4"
+ ],
+ "䘤": [
+ "ㄕㄨ4"
+ ],
+ "䘥": [
+ "ㄒㄧㄚ2",
+ "ㄐㄧㄚ2"
+ ],
+ "䘦": [
+ "ㄋㄧ2",
+ "ㄋㄧ3"
+ ],
+ "䘨": [
+ "ㄐㄧㄠ3"
+ ],
+ "䘩": [
+ "ㄒㄩㄣ2",
+ "ㄒㄩㄢ4"
+ ],
+ "䘪": [
+ "ㄔㄨㄥ1"
+ ],
+ "䘫": [
+ "ㄋㄡ4"
+ ],
+ "䘬": [
+ "ㄖㄨㄥ2"
+ ],
+ "䘭": [
+ "ㄓ4"
+ ],
+ "䘮": [
+ "ㄙㄤ1",
+ "ㄙㄤ4"
+ ],
+ "䘰": [
+ "ㄕㄢ1"
+ ],
+ "䘱": [
+ "ㄩ4"
+ ],
+ "䘳": [
+ "ㄐㄧㄣ1"
+ ],
+ "䘵": [
+ "ㄌㄨ4"
+ ],
+ "䘶": [
+ "ㄏㄢ1",
+ "ㄏㄢ4"
+ ],
+ "䘷": [
+ "ㄅㄧㄝ1"
+ ],
+ "䘸": [
+ "ㄧ4"
+ ],
+ "䘹": [
+ "ㄗㄨㄟ4",
+ "ㄘㄨㄟ4"
+ ],
+ "䘺": [
+ "ㄓㄢ4"
+ ],
+ "䘻": [
+ "ㄩ4"
+ ],
+ "䘼": [
+ "ㄨㄢ3"
+ ],
+ "䘽": [
+ "ㄋㄧ2"
+ ],
+ "䘾": [
+ "ㄍㄨㄢ3",
+ "ㄍㄨㄢ4"
+ ],
+ "䘿": [
+ "ㄐㄩㄝ2"
+ ],
+ "䙀": [
+ "ㄅㄥ3"
+ ],
+ "䙁": [
+ "ㄘㄢ2"
+ ],
+ "䙃": [
+ "ㄉㄨㄛ4"
+ ],
+ "䙄": [
+ "ㄑㄧ4",
+ "ㄓㄚ3"
+ ],
+ "䙅": [
+ "ㄧㄠ1",
+ "ㄧㄠ4"
+ ],
+ "䙆": [
+ "ㄎㄨㄟ4"
+ ],
+ "䙇": [
+ "ㄖㄨㄢ2",
+ "ㄋㄨㄢ3"
+ ],
+ "䙈": [
+ "ㄏㄡ2"
+ ],
+ "䙉": [
+ "ㄒㄩㄣ2"
+ ],
+ "䙊": [
+ "ㄒㄧㄝ4"
+ ],
+ "䙌": [
+ "ㄎㄨㄟ4"
+ ],
+ "䙎": [
+ "ㄒㄧㄝ2",
+ "ㄒㄧ4"
+ ],
+ "䙏": [
+ "ㄅㄛ2"
+ ],
+ "䙐": [
+ "ㄎㄜ4"
+ ],
+ "䙑": [
+ "ㄘㄨㄟ1"
+ ],
+ "䙒": [
+ "ㄒㄩ4"
+ ],
+ "䙓": [
+ "ㄅㄞ3"
+ ],
+ "䙔": [
+ "ㄡ1"
+ ],
+ "䙕": [
+ "ㄗㄨㄥ3"
+ ],
+ "䙗": [
+ "ㄊㄧ4"
+ ],
+ "䙘": [
+ "ㄔㄨ3",
+ "ㄗㄨ2"
+ ],
+ "䙙": [
+ "ㄔ2"
+ ],
+ "䙚": [
+ "ㄋㄧㄠ3"
+ ],
+ "䙛": [
+ "ㄍㄨㄢ4"
+ ],
+ "䙜": [
+ "ㄈㄥ2"
+ ],
+ "䙝": [
+ "ㄒㄧㄝ4"
+ ],
+ "䙞": [
+ "ㄉㄥ1"
+ ],
+ "䙟": [
+ "ㄨㄟ2"
+ ],
+ "䙠": [
+ "ㄐㄩㄝ2"
+ ],
+ "䙡": [
+ "ㄎㄨㄟ4",
+ "ㄏㄨㄟ4"
+ ],
+ "䙢": [
+ "ㄗㄥ4"
+ ],
+ "䙣": [
+ "ㄙㄚ4"
+ ],
+ "䙤": [
+ "ㄉㄨㄛ3"
+ ],
+ "䙥": [
+ "ㄌㄧㄥ2"
+ ],
+ "䙦": [
+ "ㄇㄥ2"
+ ],
+ "䙨": [
+ "ㄍㄨㄛ3"
+ ],
+ "䙩": [
+ "ㄇㄥ2"
+ ],
+ "䙪": [
+ "ㄌㄨㄥ2"
+ ],
+ "䙬": [
+ "ㄧㄥ4"
+ ],
+ "䙮": [
+ "ㄍㄨㄢ4"
+ ],
+ "䙯": [
+ "ㄘㄨ4"
+ ],
+ "䙰": [
+ "ㄌㄧ2"
+ ],
+ "䙱": [
+ "ㄉㄨ2"
+ ],
+ "䙳": [
+ "ㄅㄧㄠ1",
+ "ㄜ4"
+ ],
+ "䙴": [
+ "ㄑㄧㄢ1"
+ ],
+ "䙵": [
+ "ㄒㄧ1"
+ ],
+ "䙷": [
+ "ㄉㄜ2"
+ ],
+ "䙸": [
+ "ㄉㄜ2"
+ ],
+ "䙹": [
+ "ㄒㄧㄢ4"
+ ],
+ "䙺": [
+ "ㄌㄧㄢ2"
+ ],
+ "䙼": [
+ "ㄕㄠ4",
+ "ㄐㄧㄠ1"
+ ],
+ "䙽": [
+ "ㄒㄧㄝ2"
+ ],
+ "䙾": [
+ "ㄕ1"
+ ],
+ "䙿": [
+ "ㄨㄟ4"
+ ],
+ "䚂": [
+ "ㄏㄜ4"
+ ],
+ "䚃": [
+ "ㄧㄡ2"
+ ],
+ "䚄": [
+ "ㄌㄨ4"
+ ],
+ "䚅": [
+ "ㄌㄞ4",
+ "ㄌㄞ2"
+ ],
+ "䚆": [
+ "ㄧㄥ3"
+ ],
+ "䚇": [
+ "ㄕㄥ3"
+ ],
+ "䚈": [
+ "ㄐㄩㄢ4"
+ ],
+ "䚉": [
+ "ㄑㄧ4"
+ ],
+ "䚊": [
+ "ㄐㄧㄢ3"
+ ],
+ "䚋": [
+ "ㄩㄣ4"
+ ],
+ "䚍": [
+ "ㄑㄧ4"
+ ],
+ "䚏": [
+ "ㄌㄧㄣ4"
+ ],
+ "䚐": [
+ "ㄐㄧ2"
+ ],
+ "䚑": [
+ "ㄇㄞ2"
+ ],
+ "䚒": [
+ "ㄔㄨㄤ2",
+ "ㄓㄨㄤ4"
+ ],
+ "䚓": [
+ "ㄋㄧㄢ3"
+ ],
+ "䚔": [
+ "ㄅㄧㄣ1"
+ ],
+ "䚕": [
+ "ㄌㄧ4"
+ ],
+ "䚖": [
+ "ㄌㄧㄥ2"
+ ],
+ "䚗": [
+ "ㄍㄤ1"
+ ],
+ "䚘": [
+ "ㄔㄥ2"
+ ],
+ "䚙": [
+ "ㄒㄩㄢ1",
+ "ㄒㄧ1"
+ ],
+ "䚚": [
+ "ㄒㄧㄢ3"
+ ],
+ "䚛": [
+ "ㄏㄨ2"
+ ],
+ "䚜": [
+ "ㄅㄧ1",
+ "ㄅㄟ1"
+ ],
+ "䚝": [
+ "ㄗㄨ2"
+ ],
+ "䚞": [
+ "ㄉㄞ3"
+ ],
+ "䚟": [
+ "ㄉㄞ3"
+ ],
+ "䚠": [
+ "ㄏㄨㄣ4",
+ "ㄏㄨㄣ2"
+ ],
+ "䚡": [
+ "ㄙㄞ1"
+ ],
+ "䚢": [
+ "ㄔㄜ4"
+ ],
+ "䚣": [
+ "ㄊㄧ2"
+ ],
+ "䚥": [
+ "ㄋㄨㄛ4",
+ "ㄖㄨㄛ4"
+ ],
+ "䚦": [
+ "ㄓ4"
+ ],
+ "䚧": [
+ "ㄌㄧㄡ2"
+ ],
+ "䚨": [
+ "ㄈㄟ4"
+ ],
+ "䚩": [
+ "ㄐㄧㄠ3",
+ "ㄐㄧㄠ4",
+ "ㄑㄧㄠ2"
+ ],
+ "䚪": [
+ "ㄍㄨㄢ1"
+ ],
+ "䚫": [
+ "ㄒㄧ2",
+ "ㄠ2"
+ ],
+ "䚬": [
+ "ㄌㄧㄣ2"
+ ],
+ "䚭": [
+ "ㄒㄩㄢ1"
+ ],
+ "䚮": [
+ "ㄖㄥ2"
+ ],
+ "䚯": [
+ "ㄊㄠ3",
+ "ㄒㄩㄢ1"
+ ],
+ "䚰": [
+ "ㄆㄧ3",
+ "ㄜ2"
+ ],
+ "䚱": [
+ "ㄒㄧㄣ4"
+ ],
+ "䚲": [
+ "ㄕㄢ4"
+ ],
+ "䚳": [
+ "ㄓ4"
+ ],
+ "䚴": [
+ "ㄨㄚ4"
+ ],
+ "䚵": [
+ "ㄊㄡ3"
+ ],
+ "䚶": [
+ "ㄊㄧㄢ1"
+ ],
+ "䚷": [
+ "ㄧ1",
+ "ㄧ3",
+ "ㄒㄧ4"
+ ],
+ "䚸": [
+ "ㄒㄧㄝ4"
+ ],
+ "䚹": [
+ "ㄆㄧ3"
+ ],
+ "䚺": [
+ "ㄧㄠ2"
+ ],
+ "䚻": [
+ "ㄧㄠ2",
+ "ㄧㄡ2"
+ ],
+ "䚼": [
+ "ㄋㄩ4"
+ ],
+ "䚽": [
+ "ㄏㄠ4"
+ ],
+ "䚾": [
+ "ㄖㄣ2",
+ "ㄋㄧㄣ2"
+ ],
+ "䚿": [
+ "ㄧㄣ4",
+ "ㄒㄧ1"
+ ],
+ "䛀": [
+ "ㄈㄢ3",
+ "ㄈㄢ4",
+ "ㄅㄢ4"
+ ],
+ "䛁": [
+ "ㄋㄢ2"
+ ],
+ "䛂": [
+ "ㄧㄠ1"
+ ],
+ "䛃": [
+ "ㄨㄢ4"
+ ],
+ "䛄": [
+ "ㄩㄢ3"
+ ],
+ "䛅": [
+ "ㄒㄧㄚ2"
+ ],
+ "䛆": [
+ "ㄓㄡ4"
+ ],
+ "䛇": [
+ "ㄩㄢ3"
+ ],
+ "䛈": [
+ "ㄕ4"
+ ],
+ "䛉": [
+ "ㄇㄧㄢ4"
+ ],
+ "䛊": [
+ "ㄒㄧ1",
+ "ㄓ1"
+ ],
+ "䛋": [
+ "ㄐㄧ4"
+ ],
+ "䛌": [
+ "ㄊㄠ2",
+ "ㄆㄠ2"
+ ],
+ "䛍": [
+ "ㄈㄟ4"
+ ],
+ "䛎": [
+ "ㄒㄩㄝ4"
+ ],
+ "䛏": [
+ "ㄋㄧ2",
+ "ㄋㄧ3",
+ "ㄋㄧ4"
+ ],
+ "䛐": [
+ "ㄘ2"
+ ],
+ "䛑": [
+ "ㄇㄧ4"
+ ],
+ "䛒": [
+ "ㄅㄧㄢ4"
+ ],
+ "䛔": [
+ "ㄋㄚ2"
+ ],
+ "䛕": [
+ "ㄩ4"
+ ],
+ "䛖": [
+ "ㄜ4"
+ ],
+ "䛗": [
+ "ㄓ3"
+ ],
+ "䛘": [
+ "ㄖㄣ2",
+ "ㄋㄧㄣ2"
+ ],
+ "䛙": [
+ "ㄒㄩ4"
+ ],
+ "䛚": [
+ "ㄌㄩㄝ4"
+ ],
+ "䛛": [
+ "ㄏㄨㄟ4"
+ ],
+ "䛜": [
+ "ㄒㄩㄣ4"
+ ],
+ "䛝": [
+ "ㄋㄠ2"
+ ],
+ "䛞": [
+ "ㄏㄢ4"
+ ],
+ "䛟": [
+ "ㄐㄧㄚ2"
+ ],
+ "䛠": [
+ "ㄉㄡ4"
+ ],
+ "䛡": [
+ "ㄏㄨㄚ4"
+ ],
+ "䛢": [
+ "ㄊㄨ1"
+ ],
+ "䛣": [
+ "ㄆㄧㄥ1",
+ "ㄔㄡ1"
+ ],
+ "䛤": [
+ "ㄘㄨ4"
+ ],
+ "䛥": [
+ "ㄒㄧ1",
+ "ㄒㄧ4",
+ "ㄒㄧㄣ1"
+ ],
+ "䛦": [
+ "ㄙㄨㄥ4"
+ ],
+ "䛧": [
+ "ㄇㄧ2"
+ ],
+ "䛨": [
+ "ㄒㄧㄣ4"
+ ],
+ "䛩": [
+ "ㄨ4",
+ "ㄑㄧㄚ4",
+ "ㄜ4"
+ ],
+ "䛪": [
+ "ㄑㄩㄥ2"
+ ],
+ "䛫": [
+ "ㄓㄤ1",
+ "ㄓㄥ4"
+ ],
+ "䛬": [
+ "ㄊㄠ2"
+ ],
+ "䛭": [
+ "ㄒㄧㄥ4"
+ ],
+ "䛮": [
+ "ㄐㄧㄡ4"
+ ],
+ "䛯": [
+ "ㄐㄩ4"
+ ],
+ "䛰": [
+ "ㄏㄨㄣ4"
+ ],
+ "䛱": [
+ "ㄊㄧ2"
+ ],
+ "䛲": [
+ "ㄇㄢ2"
+ ],
+ "䛳": [
+ "ㄧㄢ4",
+ "ㄧㄢ1"
+ ],
+ "䛴": [
+ "ㄐㄧ1",
+ "ㄑㄧ3"
+ ],
+ "䛵": [
+ "ㄕㄡ4"
+ ],
+ "䛶": [
+ "ㄌㄟ3"
+ ],
+ "䛷": [
+ "ㄨㄢ3"
+ ],
+ "䛸": [
+ "ㄔㄜ4"
+ ],
+ "䛹": [
+ "ㄘㄢ4",
+ "ㄒㄩㄢ4"
+ ],
+ "䛺": [
+ "ㄐㄧㄝ4"
+ ],
+ "䛻": [
+ "ㄧㄡ4"
+ ],
+ "䛼": [
+ "ㄏㄨㄟ3"
+ ],
+ "䛽": [
+ "ㄓㄚ3",
+ "ㄔㄚ1",
+ "ㄙㄚ4"
+ ],
+ "䛾": [
+ "ㄙㄨ4"
+ ],
+ "䛿": [
+ "ㄍㄜ2"
+ ],
+ "䜀": [
+ "ㄋㄠ3"
+ ],
+ "䜁": [
+ "ㄒㄧ4"
+ ],
+ "䜃": [
+ "ㄉㄨㄟ1"
+ ],
+ "䜄": [
+ "ㄔ2"
+ ],
+ "䜅": [
+ "ㄨㄟ2",
+ "ㄔㄨㄟ1"
+ ],
+ "䜆": [
+ "ㄓㄜ2",
+ "ㄋㄧㄝ4",
+ "ㄇㄛ4"
+ ],
+ "䜇": [
+ "ㄍㄨㄣ3",
+ "ㄍㄨㄣ4"
+ ],
+ "䜈": [
+ "ㄔㄠ1",
+ "ㄓㄠ1"
+ ],
+ "䜉": [
+ "ㄔ1"
+ ],
+ "䜊": [
+ "ㄗㄠ1",
+ "ㄗㄠ4"
+ ],
+ "䜋": [
+ "ㄏㄨㄟ4"
+ ],
+ "䜌": [
+ "ㄌㄨㄢ2"
+ ],
+ "䜍": [
+ "ㄌㄧㄠ2"
+ ],
+ "䜎": [
+ "ㄌㄠ2",
+ "ㄌㄠ4"
+ ],
+ "䜏": [
+ "ㄊㄨㄛ1"
+ ],
+ "䜐": [
+ "ㄏㄨㄟ1"
+ ],
+ "䜑": [
+ "ㄨ4"
+ ],
+ "䜒": [
+ "ㄠ4"
+ ],
+ "䜓": [
+ "ㄕㄜ4"
+ ],
+ "䜔": [
+ "ㄙㄨㄟ2"
+ ],
+ "䜕": [
+ "ㄇㄞ4",
+ "ㄏㄞ4"
+ ],
+ "䜖": [
+ "ㄊㄢ4"
+ ],
+ "䜗": [
+ "ㄒㄧㄣ4",
+ "ㄏㄢ4"
+ ],
+ "䜘": [
+ "ㄐㄧㄥ3"
+ ],
+ "䜙": [
+ "ㄢ2",
+ "ㄜ4"
+ ],
+ "䜚": [
+ "ㄊㄚ4"
+ ],
+ "䜛": [
+ "ㄔㄢ2"
+ ],
+ "䜜": [
+ "ㄨㄟ4"
+ ],
+ "䜝": [
+ "ㄊㄨㄢ3"
+ ],
+ "䜞": [
+ "ㄐㄧ4"
+ ],
+ "䜟": [
+ "ㄔㄣ2"
+ ],
+ "䜠": [
+ "ㄔㄜ4"
+ ],
+ "䜡": [
+ "ㄩ4"
+ ],
+ "䜢": [
+ "ㄒㄧㄢ3"
+ ],
+ "䜣": [
+ "ㄒㄧㄣ1"
+ ],
+ "䜧": [
+ "ㄋㄠ3"
+ ],
+ "䜩": [
+ "ㄧㄢ4"
+ ],
+ "䜪": [
+ "ㄑㄧㄡ2"
+ ],
+ "䜫": [
+ "ㄐㄧㄤ1",
+ "ㄏㄨㄥ2"
+ ],
+ "䜬": [
+ "ㄙㄨㄥ3"
+ ],
+ "䜭": [
+ "ㄐㄩㄣ4",
+ "ㄖㄨㄟ4"
+ ],
+ "䜮": [
+ "ㄌㄧㄠ2",
+ "ㄌㄠ2"
+ ],
+ "䜯": [
+ "ㄐㄩ2"
+ ],
+ "䜱": [
+ "ㄇㄢ3"
+ ],
+ "䜲": [
+ "ㄌㄧㄝ4"
+ ],
+ "䜴": [
+ "ㄔㄨ4",
+ "ㄕ4"
+ ],
+ "䜵": [
+ "ㄔ3"
+ ],
+ "䜶": [
+ "ㄒㄧㄤ2"
+ ],
+ "䜷": [
+ "ㄑㄧㄣ1"
+ ],
+ "䜸": [
+ "ㄇㄟ3",
+ "ㄇㄟ2"
+ ],
+ "䜹": [
+ "ㄕㄨ4"
+ ],
+ "䜺": [
+ "ㄔㄞ3",
+ "ㄘㄜ4"
+ ],
+ "䜻": [
+ "ㄔ3"
+ ],
+ "䜼": [
+ "ㄍㄨ2",
+ "ㄇㄡ2"
+ ],
+ "䜽": [
+ "ㄩ2"
+ ],
+ "䜾": [
+ "ㄧㄣ1"
+ ],
+ "䝀": [
+ "ㄌㄧㄡ2",
+ "ㄌㄧㄠ2"
+ ],
+ "䝁": [
+ "ㄌㄠ2"
+ ],
+ "䝂": [
+ "ㄕㄨ4"
+ ],
+ "䝃": [
+ "ㄓㄜ2"
+ ],
+ "䝄": [
+ "ㄕㄨㄤ1"
+ ],
+ "䝅": [
+ "ㄏㄨㄟ1"
+ ],
+ "䝈": [
+ "ㄜ4"
+ ],
+ "䝊": [
+ "ㄕㄚ4"
+ ],
+ "䝋": [
+ "ㄗㄨㄥ4"
+ ],
+ "䝌": [
+ "ㄐㄩㄝ2"
+ ],
+ "䝍": [
+ "ㄐㄩㄣ4",
+ "ㄐㄩㄣ1"
+ ],
+ "䝎": [
+ "ㄊㄨㄢ1"
+ ],
+ "䝏": [
+ "ㄌㄡ2"
+ ],
+ "䝐": [
+ "ㄨㄟ2",
+ "ㄉㄨㄛ4"
+ ],
+ "䝑": [
+ "ㄔㄨㄥ1"
+ ],
+ "䝒": [
+ "ㄓㄨ4"
+ ],
+ "䝓": [
+ "ㄌㄧㄝ4"
+ ],
+ "䝕": [
+ "ㄓㄜ2"
+ ],
+ "䝖": [
+ "ㄓㄠ3"
+ ],
+ "䝘": [
+ "ㄧ4"
+ ],
+ "䝙": [
+ "ㄔㄨ1"
+ ],
+ "䝚": [
+ "ㄋㄧ2"
+ ],
+ "䝛": [
+ "ㄅㄛ1"
+ ],
+ "䝜": [
+ "ㄙㄨㄢ1"
+ ],
+ "䝝": [
+ "ㄧ3"
+ ],
+ "䝞": [
+ "ㄏㄠ4"
+ ],
+ "䝟": [
+ "ㄧㄚ4"
+ ],
+ "䝠": [
+ "ㄏㄨㄢ2"
+ ],
+ "䝡": [
+ "ㄇㄢ4"
+ ],
+ "䝢": [
+ "ㄇㄢ4"
+ ],
+ "䝣": [
+ "ㄑㄩ2"
+ ],
+ "䝤": [
+ "ㄌㄠ3",
+ "ㄌㄧㄠ2"
+ ],
+ "䝥": [
+ "ㄏㄠ2"
+ ],
+ "䝦": [
+ "ㄓㄨㄥ1"
+ ],
+ "䝧": [
+ "ㄇㄧㄣ2"
+ ],
+ "䝨": [
+ "ㄒㄧㄢ2"
+ ],
+ "䝩": [
+ "ㄓㄣ4"
+ ],
+ "䝪": [
+ "ㄕㄨ3"
+ ],
+ "䝫": [
+ "ㄗㄨㄛ2"
+ ],
+ "䝬": [
+ "ㄓㄨ4"
+ ],
+ "䝭": [
+ "ㄍㄡ4"
+ ],
+ "䝮": [
+ "ㄒㄩㄢ4"
+ ],
+ "䝯": [
+ "ㄧ4"
+ ],
+ "䝰": [
+ "ㄓ4"
+ ],
+ "䝱": [
+ "ㄒㄧㄝ2"
+ ],
+ "䝲": [
+ "ㄐㄧㄣ4"
+ ],
+ "䝳": [
+ "ㄘㄢ2",
+ "ㄏㄞ4"
+ ],
+ "䝵": [
+ "ㄅㄨ4"
+ ],
+ "䝶": [
+ "ㄌㄧㄤ2"
+ ],
+ "䝷": [
+ "ㄓ1",
+ "ㄓ4"
+ ],
+ "䝸": [
+ "ㄐㄧ4"
+ ],
+ "䝹": [
+ "ㄨㄢ3"
+ ],
+ "䝺": [
+ "ㄍㄨㄢ4"
+ ],
+ "䝻": [
+ "ㄐㄩ1"
+ ],
+ "䝼": [
+ "ㄐㄧㄥ4",
+ "ㄑㄧㄥ2"
+ ],
+ "䝽": [
+ "ㄞ4"
+ ],
+ "䝾": [
+ "ㄈㄨ4"
+ ],
+ "䝿": [
+ "ㄍㄨㄟ4"
+ ],
+ "䞀": [
+ "ㄏㄡ4"
+ ],
+ "䞁": [
+ "ㄧㄢ4"
+ ],
+ "䞂": [
+ "ㄖㄨㄢ3"
+ ],
+ "䞃": [
+ "ㄓ4"
+ ],
+ "䞄": [
+ "ㄅㄧㄠ4"
+ ],
+ "䞅": [
+ "ㄧ2"
+ ],
+ "䞆": [
+ "ㄙㄨㄛ3"
+ ],
+ "䞇": [
+ "ㄉㄧㄝ2"
+ ],
+ "䞈": [
+ "ㄍㄨㄟ4"
+ ],
+ "䞉": [
+ "ㄕㄥ4"
+ ],
+ "䞊": [
+ "ㄒㄩㄣ4"
+ ],
+ "䞋": [
+ "ㄔㄣ4"
+ ],
+ "䞌": [
+ "ㄕㄜ2"
+ ],
+ "䞍": [
+ "ㄑㄧㄥ2"
+ ],
+ "䞐": [
+ "ㄔㄨㄣ3"
+ ],
+ "䞑": [
+ "ㄏㄨㄥ2"
+ ],
+ "䞒": [
+ "ㄉㄨㄥ4"
+ ],
+ "䞓": [
+ "ㄔㄥ1"
+ ],
+ "䞔": [
+ "ㄨㄟ3"
+ ],
+ "䞕": [
+ "ㄖㄨ2",
+ "ㄩ2"
+ ],
+ "䞖": [
+ "ㄕㄨ3"
+ ],
+ "䞗": [
+ "ㄘㄞ1",
+ "ㄔㄞ1"
+ ],
+ "䞘": [
+ "ㄐㄧ2"
+ ],
+ "䞙": [
+ "ㄗㄚ2"
+ ],
+ "䞚": [
+ "ㄑㄧ2",
+ "ㄎㄨㄟ2"
+ ],
+ "䞛": [
+ "ㄧㄢ1"
+ ],
+ "䞜": [
+ "ㄈㄨ4"
+ ],
+ "䞝": [
+ "ㄩ4"
+ ],
+ "䞞": [
+ "ㄈㄨ2"
+ ],
+ "䞟": [
+ "ㄆㄛ4"
+ ],
+ "䞠": [
+ "ㄓ1"
+ ],
+ "䞡": [
+ "ㄊㄢ3"
+ ],
+ "䞢": [
+ "ㄗㄨㄛ2"
+ ],
+ "䞣": [
+ "ㄔㄜ3",
+ "ㄔㄜ4",
+ "ㄑㄧㄝ4"
+ ],
+ "䞤": [
+ "ㄑㄩ2",
+ "ㄈㄨ3",
+ "ㄑㄩ3"
+ ],
+ "䞥": [
+ "ㄧㄡ4"
+ ],
+ "䞦": [
+ "ㄏㄜ2"
+ ],
+ "䞧": [
+ "ㄏㄡ4"
+ ],
+ "䞨": [
+ "ㄍㄨㄟ3"
+ ],
+ "䞩": [
+ "ㄜ4",
+ "ㄒㄧㄚ2"
+ ],
+ "䞪": [
+ "ㄐㄧㄤ4"
+ ],
+ "䞫": [
+ "ㄩㄣ3"
+ ],
+ "䞬": [
+ "ㄊㄡ4"
+ ],
+ "䞭": [
+ "ㄘㄨㄣ1",
+ "ㄑㄧㄡ3"
+ ],
+ "䞮": [
+ "ㄊㄨ1"
+ ],
+ "䞯": [
+ "ㄈㄨ4",
+ "ㄈㄨ2"
+ ],
+ "䞰": [
+ "ㄗㄨㄛ2"
+ ],
+ "䞱": [
+ "ㄏㄨ2"
+ ],
+ "䞳": [
+ "ㄅㄛ2"
+ ],
+ "䞴": [
+ "ㄓㄠ1"
+ ],
+ "䞵": [
+ "ㄐㄩㄝ3",
+ "ㄓㄨㄛ4"
+ ],
+ "䞶": [
+ "ㄊㄤ1",
+ "ㄊㄤ4"
+ ],
+ "䞷": [
+ "ㄐㄩㄝ2"
+ ],
+ "䞸": [
+ "ㄈㄨ4"
+ ],
+ "䞹": [
+ "ㄏㄨㄤ2"
+ ],
+ "䞺": [
+ "ㄔㄨㄣ1"
+ ],
+ "䞻": [
+ "ㄩㄥ3"
+ ],
+ "䞼": [
+ "ㄔㄨㄟ3"
+ ],
+ "䞽": [
+ "ㄙㄨㄛ3"
+ ],
+ "䞾": [
+ "ㄔ2",
+ "ㄉㄧ4"
+ ],
+ "䞿": [
+ "ㄑㄧㄢ1"
+ ],
+ "䟀": [
+ "ㄘㄞ1"
+ ],
+ "䟁": [
+ "ㄒㄧㄠ1",
+ "ㄔㄠ1"
+ ],
+ "䟂": [
+ "ㄇㄢ2"
+ ],
+ "䟃": [
+ "ㄘㄢ1",
+ "ㄘㄚ4"
+ ],
+ "䟄": [
+ "ㄑㄧ4",
+ "ㄗㄨㄛ2",
+ "ㄗㄜ4"
+ ],
+ "䟅": [
+ "ㄐㄧㄢ4",
+ "ㄗㄢ4"
+ ],
+ "䟆": [
+ "ㄅㄧ4"
+ ],
+ "䟇": [
+ "ㄐㄧ1",
+ "ㄒㄧ1"
+ ],
+ "䟈": [
+ "ㄓ2"
+ ],
+ "䟉": [
+ "ㄓㄨ2",
+ "ㄕㄨ3"
+ ],
+ "䟊": [
+ "ㄑㄩ2"
+ ],
+ "䟋": [
+ "ㄓㄢ3"
+ ],
+ "䟌": [
+ "ㄐㄧ2"
+ ],
+ "䟍": [
+ "ㄅㄧㄢ1",
+ "ㄉㄧㄢ2"
+ ],
+ "䟏": [
+ "ㄌㄧ4"
+ ],
+ "䟐": [
+ "ㄌㄧ4"
+ ],
+ "䟑": [
+ "ㄩㄝ4"
+ ],
+ "䟒": [
+ "ㄑㄩㄢ2"
+ ],
+ "䟓": [
+ "ㄔㄥ1",
+ "ㄓㄥ1",
+ "ㄉㄧㄥ1"
+ ],
+ "䟔": [
+ "ㄈㄨ4",
+ "ㄅㄛ2"
+ ],
+ "䟕": [
+ "ㄔㄚ4"
+ ],
+ "䟖": [
+ "ㄊㄤ4"
+ ],
+ "䟗": [
+ "ㄕ4"
+ ],
+ "䟘": [
+ "ㄏㄤ4"
+ ],
+ "䟙": [
+ "ㄑㄧㄝ4"
+ ],
+ "䟚": [
+ "ㄑㄧ2"
+ ],
+ "䟛": [
+ "ㄅㄛ2",
+ "ㄈㄟ4",
+ "ㄅㄟ4"
+ ],
+ "䟜": [
+ "ㄋㄚ4"
+ ],
+ "䟝": [
+ "ㄊㄡ4"
+ ],
+ "䟞": [
+ "ㄔㄨ2"
+ ],
+ "䟟": [
+ "ㄘㄨ4"
+ ],
+ "䟠": [
+ "ㄩㄝ4"
+ ],
+ "䟡": [
+ "ㄓ1",
+ "ㄉㄧ4"
+ ],
+ "䟢": [
+ "ㄔㄣ2"
+ ],
+ "䟣": [
+ "ㄔㄨ4"
+ ],
+ "䟤": [
+ "ㄅㄧ4",
+ "ㄅㄧㄝ2"
+ ],
+ "䟥": [
+ "ㄇㄥ2"
+ ],
+ "䟦": [
+ "ㄅㄚ2"
+ ],
+ "䟧": [
+ "ㄊㄧㄢ2"
+ ],
+ "䟨": [
+ "ㄇㄧㄣ2",
+ "ㄇㄧㄣ3"
+ ],
+ "䟩": [
+ "ㄌㄧㄝ3",
+ "ㄑㄩㄝ4"
+ ],
+ "䟪": [
+ "ㄈㄥ3",
+ "ㄈㄢ3"
+ ],
+ "䟫": [
+ "ㄔㄥ1",
+ "ㄕㄤ4"
+ ],
+ "䟬": [
+ "ㄑㄧㄡ4"
+ ],
+ "䟭": [
+ "ㄊㄧㄠ2",
+ "ㄗㄨㄛ4"
+ ],
+ "䟮": [
+ "ㄈㄨ2",
+ "ㄅㄛ2"
+ ],
+ "䟯": [
+ "ㄎㄨㄛ4"
+ ],
+ "䟰": [
+ "ㄐㄧㄢ3"
+ ],
+ "䟴": [
+ "ㄓㄣ4"
+ ],
+ "䟵": [
+ "ㄑㄧㄡ2"
+ ],
+ "䟶": [
+ "ㄗㄨㄛ4",
+ "ㄘㄨㄛ4"
+ ],
+ "䟷": [
+ "ㄔ4",
+ "ㄑㄧ4"
+ ],
+ "䟸": [
+ "ㄎㄨㄟ2",
+ "ㄍㄨㄟ1"
+ ],
+ "䟹": [
+ "ㄌㄧㄝ4"
+ ],
+ "䟺": [
+ "ㄅㄟ4",
+ "ㄆㄟ4"
+ ],
+ "䟻": [
+ "ㄉㄨ4",
+ "ㄓㄚ4"
+ ],
+ "䟼": [
+ "ㄨ3"
+ ],
+ "䟾": [
+ "ㄓㄨㄛ2",
+ "ㄐㄩㄝ3"
+ ],
+ "䟿": [
+ "ㄌㄨ4"
+ ],
+ "䠀": [
+ "ㄊㄤ1",
+ "ㄔㄤ3",
+ "ㄊㄤ4"
+ ],
+ "䠂": [
+ "ㄔㄨ2"
+ ],
+ "䠃": [
+ "ㄌㄧㄤ3"
+ ],
+ "䠄": [
+ "ㄊㄧㄢ3"
+ ],
+ "䠅": [
+ "ㄎㄨㄣ3"
+ ],
+ "䠆": [
+ "ㄔㄤ2"
+ ],
+ "䠇": [
+ "ㄐㄩㄝ2"
+ ],
+ "䠈": [
+ "ㄊㄨ2"
+ ],
+ "䠉": [
+ "ㄏㄨㄢ4"
+ ],
+ "䠊": [
+ "ㄈㄟ4"
+ ],
+ "䠋": [
+ "ㄅㄧ4",
+ "ㄅㄧ3",
+ "ㄅㄞ1"
+ ],
+ "䠍": [
+ "ㄒㄧㄚ1",
+ "ㄑㄧㄚ2",
+ "ㄑㄧㄝ2"
+ ],
+ "䠎": [
+ "ㄨㄛ4"
+ ],
+ "䠏": [
+ "ㄐㄧ4",
+ "ㄎㄨㄟ2"
+ ],
+ "䠐": [
+ "ㄑㄩ4"
+ ],
+ "䠑": [
+ "ㄎㄨㄟ3",
+ "ㄎㄨㄟ2",
+ "ㄨㄟ3"
+ ],
+ "䠒": [
+ "ㄏㄨ2"
+ ],
+ "䠓": [
+ "ㄑㄧㄡ1",
+ "ㄘㄨ4"
+ ],
+ "䠔": [
+ "ㄙㄨㄟ4"
+ ],
+ "䠕": [
+ "ㄘㄞ1"
+ ],
+ "䠗": [
+ "ㄑㄧㄡ4",
+ "ㄒㄩㄥ4"
+ ],
+ "䠘": [
+ "ㄆㄧ4"
+ ],
+ "䠙": [
+ "ㄆㄤ2"
+ ],
+ "䠚": [
+ "ㄨㄚ4",
+ "ㄨㄚ3"
+ ],
+ "䠛": [
+ "ㄧㄠ2"
+ ],
+ "䠜": [
+ "ㄖㄨㄥ2",
+ "ㄖㄨㄥ3"
+ ],
+ "䠝": [
+ "ㄒㄩㄣ1"
+ ],
+ "䠞": [
+ "ㄘㄨ4"
+ ],
+ "䠟": [
+ "ㄉㄧㄝ2"
+ ],
+ "䠠": [
+ "ㄔ4",
+ "ㄉㄞ4"
+ ],
+ "䠡": [
+ "ㄘㄨㄛ2",
+ "ㄔㄚ2"
+ ],
+ "䠢": [
+ "ㄇㄥ4"
+ ],
+ "䠣": [
+ "ㄒㄩㄢ3"
+ ],
+ "䠤": [
+ "ㄉㄨㄛ3",
+ "ㄉㄨㄛ4"
+ ],
+ "䠥": [
+ "ㄅㄧㄝ2"
+ ],
+ "䠦": [
+ "ㄓㄜ4"
+ ],
+ "䠧": [
+ "ㄔㄨ2"
+ ],
+ "䠨": [
+ "ㄔㄢ4"
+ ],
+ "䠩": [
+ "ㄍㄨㄟ4"
+ ],
+ "䠪": [
+ "ㄉㄨㄢ4"
+ ],
+ "䠫": [
+ "ㄗㄡ4"
+ ],
+ "䠬": [
+ "ㄉㄥ4"
+ ],
+ "䠭": [
+ "ㄌㄞ2"
+ ],
+ "䠮": [
+ "ㄊㄥ2"
+ ],
+ "䠯": [
+ "ㄩㄝ4"
+ ],
+ "䠰": [
+ "ㄑㄩㄢ2"
+ ],
+ "䠱": [
+ "ㄓㄨ2"
+ ],
+ "䠲": [
+ "ㄌㄧㄥ2"
+ ],
+ "䠳": [
+ "ㄔㄣ1"
+ ],
+ "䠴": [
+ "ㄓㄣ3"
+ ],
+ "䠵": [
+ "ㄈㄨ4"
+ ],
+ "䠶": [
+ "ㄕㄜ4"
+ ],
+ "䠷": [
+ "ㄊㄧㄠ3"
+ ],
+ "䠸": [
+ "ㄎㄨㄚ1"
+ ],
+ "䠹": [
+ "ㄞ2"
+ ],
+ "䠻": [
+ "ㄑㄩㄥ2"
+ ],
+ "䠼": [
+ "ㄕㄨ4"
+ ],
+ "䠽": [
+ "ㄏㄞ2",
+ "ㄎㄞ3"
+ ],
+ "䠾": [
+ "ㄕㄢ3"
+ ],
+ "䠿": [
+ "ㄨㄞ4",
+ "ㄎㄨㄟ4"
+ ],
+ "䡀": [
+ "ㄓㄢ3",
+ "ㄓㄢ4"
+ ],
+ "䡁": [
+ "ㄌㄨㄥ3"
+ ],
+ "䡂": [
+ "ㄐㄧㄡ1",
+ "ㄐㄧㄡ4"
+ ],
+ "䡃": [
+ "ㄌㄧ4"
+ ],
+ "䡅": [
+ "ㄔㄨㄣ1",
+ "ㄒㄩㄣ2"
+ ],
+ "䡆": [
+ "ㄖㄨㄥ2"
+ ],
+ "䡇": [
+ "ㄩㄝ4"
+ ],
+ "䡈": [
+ "ㄐㄩㄝ2",
+ "ㄐㄧㄠ4"
+ ],
+ "䡉": [
+ "ㄎㄤ3"
+ ],
+ "䡊": [
+ "ㄈㄢ3"
+ ],
+ "䡋": [
+ "ㄑㄧ2"
+ ],
+ "䡌": [
+ "ㄏㄨㄥ2"
+ ],
+ "䡍": [
+ "ㄈㄨ2"
+ ],
+ "䡎": [
+ "ㄌㄨ2"
+ ],
+ "䡏": [
+ "ㄏㄨㄥ2"
+ ],
+ "䡐": [
+ "ㄊㄨㄛ2"
+ ],
+ "䡑": [
+ "ㄇㄧㄣ2"
+ ],
+ "䡒": [
+ "ㄊㄧㄢ2"
+ ],
+ "䡓": [
+ "ㄐㄩㄢ4",
+ "ㄒㄩㄢ1"
+ ],
+ "䡔": [
+ "ㄑㄧ3"
+ ],
+ "䡕": [
+ "ㄓㄥ3"
+ ],
+ "䡖": [
+ "ㄑㄧㄥ4"
+ ],
+ "䡗": [
+ "ㄍㄨㄥ3",
+ "ㄍㄨㄥ4"
+ ],
+ "䡘": [
+ "ㄊㄧㄢ2"
+ ],
+ "䡙": [
+ "ㄌㄤ2"
+ ],
+ "䡚": [
+ "ㄇㄠ4"
+ ],
+ "䡛": [
+ "ㄧㄣ4"
+ ],
+ "䡜": [
+ "ㄌㄨ4"
+ ],
+ "䡝": [
+ "ㄩㄢ1",
+ "ㄩㄣ3"
+ ],
+ "䡞": [
+ "ㄐㄩ2"
+ ],
+ "䡟": [
+ "ㄆㄧ4"
+ ],
+ "䡡": [
+ "ㄒㄧㄝ2"
+ ],
+ "䡢": [
+ "ㄅㄧㄢ4"
+ ],
+ "䡣": [
+ "ㄏㄨㄣ1",
+ "ㄒㄩㄢ1"
+ ],
+ "䡤": [
+ "ㄓㄨ1"
+ ],
+ "䡥": [
+ "ㄖㄨㄥ2"
+ ],
+ "䡦": [
+ "ㄙㄤ3"
+ ],
+ "䡧": [
+ "ㄨ1",
+ "ㄨ3"
+ ],
+ "䡨": [
+ "ㄔㄚ4"
+ ],
+ "䡩": [
+ "ㄎㄥ1",
+ "ㄓㄣ3"
+ ],
+ "䡪": [
+ "ㄕㄢ4"
+ ],
+ "䡫": [
+ "ㄆㄥ2"
+ ],
+ "䡬": [
+ "ㄇㄢ4"
+ ],
+ "䡭": [
+ "ㄒㄧㄡ1"
+ ],
+ "䡯": [
+ "ㄘㄨㄥ1",
+ "ㄗㄨㄥ3"
+ ],
+ "䡰": [
+ "ㄎㄥ1",
+ "ㄎㄥ3",
+ "ㄍㄨ3"
+ ],
+ "䡱": [
+ "ㄓㄨㄢ3"
+ ],
+ "䡲": [
+ "ㄔㄢ2",
+ "ㄉㄢ1"
+ ],
+ "䡳": [
+ "ㄙ1"
+ ],
+ "䡴": [
+ "ㄔㄨㄥ1"
+ ],
+ "䡵": [
+ "ㄙㄨㄟ4"
+ ],
+ "䡶": [
+ "ㄅㄟ4"
+ ],
+ "䡷": [
+ "ㄎㄞ4",
+ "ㄎㄜ3"
+ ],
+ "䡹": [
+ "ㄓ4"
+ ],
+ "䡺": [
+ "ㄨㄟ4"
+ ],
+ "䡻": [
+ "ㄇㄧㄣ2"
+ ],
+ "䡼": [
+ "ㄌㄧㄥ2"
+ ],
+ "䡽": [
+ "ㄗㄨㄢ1"
+ ],
+ "䡾": [
+ "ㄋㄧㄝ4",
+ "ㄧㄝ4",
+ "ㄧ3"
+ ],
+ "䡿": [
+ "ㄌㄧㄥ2"
+ ],
+ "䢀": [
+ "ㄑㄧ4"
+ ],
+ "䢁": [
+ "ㄩㄝ4"
+ ],
+ "䢃": [
+ "ㄧ4"
+ ],
+ "䢄": [
+ "ㄒㄧ3"
+ ],
+ "䢅": [
+ "ㄔㄣ2"
+ ],
+ "䢇": [
+ "ㄖㄨㄥ3"
+ ],
+ "䢈": [
+ "ㄔㄣ2",
+ "ㄏㄨㄟ4"
+ ],
+ "䢉": [
+ "ㄋㄨㄥ2"
+ ],
+ "䢊": [
+ "ㄧㄡ2"
+ ],
+ "䢋": [
+ "ㄐㄧ4"
+ ],
+ "䢌": [
+ "ㄅㄛ2"
+ ],
+ "䢍": [
+ "ㄈㄤ3"
+ ],
+ "䢐": [
+ "ㄘㄨ2"
+ ],
+ "䢑": [
+ "ㄉㄧ3",
+ "ㄉㄧ4"
+ ],
+ "䢒": [
+ "ㄐㄧㄠ1"
+ ],
+ "䢓": [
+ "ㄩ2"
+ ],
+ "䢔": [
+ "ㄏㄜ2"
+ ],
+ "䢕": [
+ "ㄒㄩ4"
+ ],
+ "䢖": [
+ "ㄩ4",
+ "ㄌㄩ4"
+ ],
+ "䢗": [
+ "ㄑㄩ1"
+ ],
+ "䢙": [
+ "ㄅㄞ4"
+ ],
+ "䢚": [
+ "ㄍㄥ1",
+ "ㄏㄤ2"
+ ],
+ "䢛": [
+ "ㄐㄩㄥ3"
+ ],
+ "䢝": [
+ "ㄧㄚ4"
+ ],
+ "䢞": [
+ "ㄕㄨ4"
+ ],
+ "䢟": [
+ "ㄧㄡ2"
+ ],
+ "䢠": [
+ "ㄙㄨㄥ4"
+ ],
+ "䢡": [
+ "ㄧㄝ4",
+ "ㄒㄧㄝ4",
+ "ㄓㄨㄟ4"
+ ],
+ "䢢": [
+ "ㄘㄤ4"
+ ],
+ "䢣": [
+ "ㄧㄠ2"
+ ],
+ "䢤": [
+ "ㄕㄨ4"
+ ],
+ "䢥": [
+ "ㄧㄢ2"
+ ],
+ "䢦": [
+ "ㄕㄨㄞ4"
+ ],
+ "䢧": [
+ "ㄌㄧㄠ4"
+ ],
+ "䢨": [
+ "ㄘㄨㄥ1",
+ "ㄗㄨㄥ1"
+ ],
+ "䢩": [
+ "ㄩ4"
+ ],
+ "䢪": [
+ "ㄅㄛ2"
+ ],
+ "䢫": [
+ "ㄙㄨㄟ2"
+ ],
+ "䢭": [
+ "ㄧㄢ4",
+ "ㄒㄧㄢ4"
+ ],
+ "䢮": [
+ "ㄌㄟ4"
+ ],
+ "䢯": [
+ "ㄌㄧㄣ2"
+ ],
+ "䢰": [
+ "ㄊㄧ1"
+ ],
+ "䢱": [
+ "ㄉㄨ2"
+ ],
+ "䢲": [
+ "ㄩㄝ4"
+ ],
+ "䢳": [
+ "ㄐㄧ3"
+ ],
+ "䢵": [
+ "ㄩㄣ2"
+ ],
+ "䢸": [
+ "ㄐㄩ1"
+ ],
+ "䢹": [
+ "ㄐㄩ3",
+ "ㄑㄩ2"
+ ],
+ "䢺": [
+ "ㄔㄨ1"
+ ],
+ "䢻": [
+ "ㄔㄣ2"
+ ],
+ "䢼": [
+ "ㄍㄨㄥ1"
+ ],
+ "䢽": [
+ "ㄒㄧㄤ4"
+ ],
+ "䢾": [
+ "ㄒㄧㄢ3"
+ ],
+ "䢿": [
+ "ㄢ1"
+ ],
+ "䣀": [
+ "ㄍㄨㄟ3",
+ "ㄑㄧ1",
+ "ㄨㄟ2"
+ ],
+ "䣁": [
+ "ㄩ3"
+ ],
+ "䣂": [
+ "ㄌㄟ3"
+ ],
+ "䣄": [
+ "ㄊㄨ2"
+ ],
+ "䣅": [
+ "ㄔㄣ2"
+ ],
+ "䣆": [
+ "ㄒㄧㄥ2"
+ ],
+ "䣇": [
+ "ㄑㄧㄡ2"
+ ],
+ "䣈": [
+ "ㄏㄤ4"
+ ],
+ "䣊": [
+ "ㄉㄤ3"
+ ],
+ "䣋": [
+ "ㄘㄞ3"
+ ],
+ "䣌": [
+ "ㄉㄧ3"
+ ],
+ "䣍": [
+ "ㄧㄢ3",
+ "ㄧㄢ1"
+ ],
+ "䣎": [
+ "ㄗ1"
+ ],
+ "䣐": [
+ "ㄧㄥ1"
+ ],
+ "䣑": [
+ "ㄔㄢ2"
+ ],
+ "䣓": [
+ "ㄌㄧ2",
+ "ㄌㄧ4"
+ ],
+ "䣔": [
+ "ㄙㄨㄛ3"
+ ],
+ "䣕": [
+ "ㄇㄚ3"
+ ],
+ "䣖": [
+ "ㄇㄚ3"
+ ],
+ "䣘": [
+ "ㄊㄤ2"
+ ],
+ "䣙": [
+ "ㄆㄟ2",
+ "ㄆㄥ3",
+ "ㄅㄟ1"
+ ],
+ "䣚": [
+ "ㄌㄡ2"
+ ],
+ "䣛": [
+ "ㄑㄧ1",
+ "ㄒㄧ1"
+ ],
+ "䣜": [
+ "ㄘㄨㄛ2"
+ ],
+ "䣝": [
+ "ㄊㄨ2"
+ ],
+ "䣞": [
+ "ㄜ4"
+ ],
+ "䣟": [
+ "ㄘㄢ2",
+ "ㄘㄢ3",
+ "ㄊㄧ4"
+ ],
+ "䣠": [
+ "ㄐㄧㄝ2",
+ "ㄊㄧ4",
+ "ㄗㄚ2"
+ ],
+ "䣡": [
+ "ㄧ2"
+ ],
+ "䣢": [
+ "ㄐㄧ2"
+ ],
+ "䣣": [
+ "ㄉㄤ3"
+ ],
+ "䣤": [
+ "ㄐㄩㄝ2"
+ ],
+ "䣥": [
+ "ㄅㄧ3"
+ ],
+ "䣦": [
+ "ㄌㄟ4"
+ ],
+ "䣧": [
+ "ㄧ4"
+ ],
+ "䣨": [
+ "ㄔㄨㄣ2"
+ ],
+ "䣩": [
+ "ㄔㄨㄣ2"
+ ],
+ "䣪": [
+ "ㄆㄛ4"
+ ],
+ "䣫": [
+ "ㄌㄧ2"
+ ],
+ "䣬": [
+ "ㄗㄞ3",
+ "ㄍㄜ1"
+ ],
+ "䣭": [
+ "ㄊㄞ4"
+ ],
+ "䣮": [
+ "ㄆㄛ4"
+ ],
+ "䣯": [
+ "ㄘㄨ2",
+ "ㄊㄧㄢ3"
+ ],
+ "䣰": [
+ "ㄐㄩ4"
+ ],
+ "䣱": [
+ "ㄒㄩ4"
+ ],
+ "䣲": [
+ "ㄈㄢ4"
+ ],
+ "䣴": [
+ "ㄒㄩ4"
+ ],
+ "䣵": [
+ "ㄦ4"
+ ],
+ "䣶": [
+ "ㄏㄨㄛ2",
+ "ㄊㄧㄢ2"
+ ],
+ "䣷": [
+ "ㄓㄨ1"
+ ],
+ "䣸": [
+ "ㄖㄢ3",
+ "ㄋㄢ3",
+ "ㄋㄢ4"
+ ],
+ "䣹": [
+ "ㄈㄚ2"
+ ],
+ "䣺": [
+ "ㄐㄩㄢ1"
+ ],
+ "䣻": [
+ "ㄏㄢ1"
+ ],
+ "䣼": [
+ "ㄌㄧㄤ2"
+ ],
+ "䣽": [
+ "ㄓ1",
+ "ㄊㄧ3"
+ ],
+ "䣾": [
+ "ㄇㄧ4"
+ ],
+ "䣿": [
+ "ㄩ1"
+ ],
+ "䤁": [
+ "ㄘㄣ2"
+ ],
+ "䤂": [
+ "ㄇㄟ2"
+ ],
+ "䤃": [
+ "ㄧㄣ1",
+ "ㄢ1",
+ "ㄧㄣ4"
+ ],
+ "䤄": [
+ "ㄇㄧㄢ3"
+ ],
+ "䤅": [
+ "ㄊㄨ2"
+ ],
+ "䤆": [
+ "ㄎㄨㄟ2",
+ "ㄍㄨㄟ4"
+ ],
+ "䤉": [
+ "ㄇㄧ4"
+ ],
+ "䤊": [
+ "ㄖㄨㄥ2"
+ ],
+ "䤋": [
+ "ㄩ4",
+ "ㄍㄨㄛ2"
+ ],
+ "䤌": [
+ "ㄑㄧㄤ1"
+ ],
+ "䤍": [
+ "ㄇㄧ2"
+ ],
+ "䤎": [
+ "ㄐㄩ2",
+ "ㄐㄩㄝ2"
+ ],
+ "䤏": [
+ "ㄆㄧ3"
+ ],
+ "䤐": [
+ "ㄐㄧㄣ3"
+ ],
+ "䤑": [
+ "ㄨㄤ4"
+ ],
+ "䤒": [
+ "ㄐㄧ4",
+ "ㄐㄧ3"
+ ],
+ "䤓": [
+ "ㄇㄥ2"
+ ],
+ "䤔": [
+ "ㄐㄧㄢ4"
+ ],
+ "䤕": [
+ "ㄒㄩㄝ4",
+ "ㄏㄨ4"
+ ],
+ "䤖": [
+ "ㄅㄠ4"
+ ],
+ "䤗": [
+ "ㄍㄢ3"
+ ],
+ "䤘": [
+ "ㄔㄢ3",
+ "ㄑㄧㄢ3"
+ ],
+ "䤙": [
+ "ㄌㄧ4"
+ ],
+ "䤚": [
+ "ㄌㄧ3"
+ ],
+ "䤛": [
+ "ㄑㄧㄡ2"
+ ],
+ "䤜": [
+ "ㄉㄨㄣ4"
+ ],
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+ ],
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+ "ㄕㄨㄤ1"
+ ],
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+ ],
+ "䨨": [
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+ "䨭": [
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+ "䨮": [
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+ ],
+ "䨯": [
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+ "ㄨㄢ4"
+ ],
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+ "ㄒㄧ1"
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+ "䨴": [
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+ ],
+ "䨵": [
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+ ],
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+ "䨷": [
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+ "䨹": [
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+ "䨺": [
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+ ],
+ "䨽": [
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+ "䨾": [
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+ "䨿": [
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+ "䩀": [
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+ "䩁": [
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+ "䩂": [
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+ "䩃": [
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+ ],
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+ "ㄊㄧㄢ3"
+ ],
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+ "ㄋㄢ3"
+ ],
+ "䩆": [
+ "ㄓㄢ3"
+ ],
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+ "ㄉㄧㄢ1"
+ ],
+ "䩈": [
+ "ㄏㄨㄟ4"
+ ],
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+ "ㄈㄨ3"
+ ],
+ "䩊": [
+ "ㄨㄢ3",
+ "ㄨㄛ4"
+ ],
+ "䩋": [
+ "ㄇㄛ3"
+ ],
+ "䩌": [
+ "ㄑㄧㄠ2"
+ ],
+ "䩍": [
+ "ㄌㄧㄠ3"
+ ],
+ "䩏": [
+ "ㄇㄧㄝ4"
+ ],
+ "䩐": [
+ "ㄏㄨ1",
+ "ㄐㄧ2",
+ "ㄍㄜ2"
+ ],
+ "䩑": [
+ "ㄏㄨㄥ2"
+ ],
+ "䩒": [
+ "ㄩ2"
+ ],
+ "䩓": [
+ "ㄑㄧ2"
+ ],
+ "䩔": [
+ "ㄉㄨㄛ4",
+ "ㄕㄢ1",
+ "ㄆㄢ2"
+ ],
+ "䩕": [
+ "ㄤ2",
+ "ㄧㄥ4"
+ ],
+ "䩗": [
+ "ㄅㄚ4"
+ ],
+ "䩘": [
+ "ㄉㄧ4"
+ ],
+ "䩙": [
+ "ㄒㄩㄢ4",
+ "ㄒㄧㄢ3"
+ ],
+ "䩚": [
+ "ㄉㄧ4",
+ "ㄉㄧ1"
+ ],
+ "䩛": [
+ "ㄅㄧ4",
+ "ㄆㄟ4"
+ ],
+ "䩜": [
+ "ㄓㄡ4"
+ ],
+ "䩝": [
+ "ㄆㄠ2"
+ ],
+ "䩞": [
+ "ㄊㄧㄝ2",
+ "ㄉㄧㄝ1"
+ ],
+ "䩟": [
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+ "ㄊㄧ4"
+ ],
+ "䩡": [
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+ "ㄍㄜ2"
+ ],
+ "䩢": [
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+ "ㄉㄚ2"
+ ],
+ "䩣": [
+ "ㄊㄨ2"
+ ],
+ "䩤": [
+ "ㄒㄧㄝ2"
+ ],
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+ ],
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+ ],
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+ "ㄒㄧㄝ4"
+ ],
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+ "ㄔㄤ4",
+ "ㄓㄤ1"
+ ],
+ "䩩": [
+ "ㄩㄢ3"
+ ],
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+ "ㄍㄨㄢ3"
+ ],
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+ "ㄌㄧㄤ3"
+ ],
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+ "ㄅㄥ3",
+ "ㄈㄥ3"
+ ],
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+ "ㄌㄨ4"
+ ],
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+ "ㄐㄧ2",
+ "ㄑㄧ4"
+ ],
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+ "ㄒㄩㄢ4"
+ ],
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+ "ㄕㄨ4",
+ "ㄩ2",
+ "ㄕㄨ1"
+ ],
+ "䩲": [
+ "ㄉㄨ1"
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+ "ㄙㄡ1"
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+ "ㄏㄨ2"
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+ "ㄩㄣ4"
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+ "ㄔㄢ3"
+ ],
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+ "ㄅㄤ1"
+ ],
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+ "ㄖㄨㄥ3"
+ ],
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+ "ㄜ2",
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+ "ㄨㄥ1"
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+ "ㄅㄚ4"
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+ "ㄩ1"
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+ "ㄅㄨ3"
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+ "ㄍㄜ2"
+ ],
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+ "ㄏㄨㄤ2"
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+ "ㄉㄨ2"
+ ],
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+ "ㄊㄧ3"
+ ],
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+ "ㄅㄛ2"
+ ],
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+ ],
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+ "ㄌㄧㄝ4"
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+ ],
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+ "ㄨㄟ4"
+ ],
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+ "ㄓㄢ4",
+ "ㄕㄢ1"
+ ],
+ "䪍": [
+ "ㄌㄢ2"
+ ],
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+ "ㄙㄨㄟ1"
+ ],
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+ "ㄋㄚ4",
+ "ㄉㄚ1"
+ ],
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+ "ㄅㄧ4"
+ ],
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+ "ㄊㄨㄛ2"
+ ],
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+ "ㄓㄨ4"
+ ],
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+ "ㄉㄧㄝ1"
+ ],
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+ "ㄅㄨ3",
+ "ㄈㄨ4"
+ ],
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+ "ㄐㄩ2"
+ ],
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+ "ㄆㄛ4"
+ ],
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+ "ㄒㄧㄚ2"
+ ],
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+ "ㄨㄟ3",
+ "ㄉㄧ1"
+ ],
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+ "ㄆㄛ4",
+ "ㄈㄨ2",
+ "ㄈㄨ4"
+ ],
+ "䪚": [
+ "ㄉㄚ1",
+ "ㄊㄚ4"
+ ],
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+ "ㄈㄢ1",
+ "ㄈㄢ2"
+ ],
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+ "ㄔㄢ1",
+ "ㄔㄢ4",
+ "ㄧㄢ2"
+ ],
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+ "ㄏㄨ4"
+ ],
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+ "ㄗㄚ2"
+ ],
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+ "ㄈㄢ2"
+ ],
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+ ],
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+ "ㄅㄠ2"
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+ "ㄧㄣ2"
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+ "ㄅㄛ2"
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+ ],
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+ "ㄧㄥ1"
+ ],
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+ "ㄧ1"
+ ],
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+ "ㄏㄞ2"
+ ],
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+ ],
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+ "ㄩㄣ3"
+ ],
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+ "ㄓㄣ3",
+ "ㄉㄢ3",
+ "ㄉㄢ4"
+ ],
+ "䪵": [
+ "ㄧㄚ3"
+ ],
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+ "ㄐㄩ1"
+ ],
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+ "ㄏㄡ4",
+ "ㄍㄡ4"
+ ],
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+ "ㄇㄧㄣ2",
+ "ㄇㄣ2"
+ ],
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+ "ㄅㄞ1",
+ "ㄆㄧ1",
+ "ㄆㄟ2"
+ ],
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+ "ㄍㄜ2"
+ ],
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+ "ㄅㄧㄢ4",
+ "ㄈㄢ4"
+ ],
+ "䪼": [
+ "ㄓㄨㄛ1"
+ ],
+ "䪽": [
+ "ㄏㄠ4"
+ ],
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+ "ㄓㄣ3"
+ ],
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+ ],
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+ "ㄍㄣ3"
+ ],
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+ "ㄅㄧ4"
+ ],
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+ "ㄉㄨㄛ3"
+ ],
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+ "ㄔㄨㄣ2",
+ "ㄓㄣ4"
+ ],
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+ ],
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+ "ㄙㄢ4"
+ ],
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+ "ㄔㄥ2"
+ ],
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+ ],
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+ "ㄗㄣ4",
+ "ㄘㄣ2"
+ ],
+ "䫉": [
+ "ㄇㄠ4"
+ ],
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+ ],
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+ ],
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+ "ㄆㄧ3"
+ ],
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+ "ㄈㄨ3"
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+ "ㄓㄨㄛ1"
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+ "䫏": [
+ "ㄑㄧ1"
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+ "ㄌㄧㄣ2"
+ ],
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+ "ㄧ1",
+ "ㄑㄧ1"
+ ],
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+ "ㄇㄣ2"
+ ],
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+ "ㄨ2"
+ ],
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+ "ㄑㄧ4",
+ "ㄑㄧㄝ4",
+ "ㄧㄚ4",
+ "ㄎㄨㄟ2"
+ ],
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+ "ㄉㄧㄝ2"
+ ],
+ "䫖": [
+ "ㄔㄣ3",
+ "ㄕㄣ4"
+ ],
+ "䫗": [
+ "ㄒㄧㄚ2"
+ ],
+ "䫘": [
+ "ㄏㄜ2",
+ "ㄐㄧㄝ2",
+ "ㄎㄜ3"
+ ],
+ "䫙": [
+ "ㄙㄤ3"
+ ],
+ "䫚": [
+ "ㄍㄨㄚ1"
+ ],
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+ "ㄏㄡ2"
+ ],
+ "䫜": [
+ "ㄠ1"
+ ],
+ "䫝": [
+ "ㄈㄨ3"
+ ],
+ "䫞": [
+ "ㄑㄧㄠ1",
+ "ㄈㄣ2"
+ ],
+ "䫟": [
+ "ㄏㄨㄣ4"
+ ],
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+ "ㄆㄧ1"
+ ],
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+ "ㄑㄧㄢ4",
+ "ㄑㄧㄢ1",
+ "ㄐㄧㄢ4"
+ ],
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+ "ㄙ1"
+ ],
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+ "ㄒㄧ2"
+ ],
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+ "ㄇㄧㄥ2"
+ ],
+ "䫥": [
+ "ㄎㄨㄟ3"
+ ],
+ "䫦": [
+ "ㄍㄜ2",
+ "ㄎㄞ4"
+ ],
+ "䫨": [
+ "ㄠ4"
+ ],
+ "䫩": [
+ "ㄙㄢ3"
+ ],
+ "䫪": [
+ "ㄕㄨㄤ3"
+ ],
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+ "ㄌㄡ2"
+ ],
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+ "ㄓㄣ3",
+ "ㄑㄧㄣ3"
+ ],
+ "䫭": [
+ "ㄏㄨㄟ4"
+ ],
+ "䫮": [
+ "ㄔㄢ2"
+ ],
+ "䫰": [
+ "ㄌㄧㄣ4"
+ ],
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+ "ㄋㄚ2"
+ ],
+ "䫲": [
+ "ㄏㄢ4",
+ "ㄎㄢ3"
+ ],
+ "䫳": [
+ "ㄉㄨ2"
+ ],
+ "䫴": [
+ "ㄐㄧㄣ4"
+ ],
+ "䫵": [
+ "ㄇㄧㄢ2"
+ ],
+ "䫶": [
+ "ㄈㄢ2"
+ ],
+ "䫷": [
+ "ㄜ4"
+ ],
+ "䫸": [
+ "ㄔㄠ1"
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+ "䫹": [
+ "ㄏㄨㄥ2"
+ ],
+ "䫺": [
+ "ㄏㄨㄥ2"
+ ],
+ "䫻": [
+ "ㄩ4"
+ ],
+ "䫼": [
+ "ㄒㄩㄝ4"
+ ],
+ "䫽": [
+ "ㄆㄠ1"
+ ],
+ "䫾": [
+ "ㄅㄧ1",
+ "ㄅㄧ4"
+ ],
+ "䫿": [
+ "ㄔㄠ1"
+ ],
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+ "ㄧㄡ3"
+ ],
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+ "ㄧ2"
+ ],
+ "䬂": [
+ "ㄒㄩㄝ4"
+ ],
+ "䬃": [
+ "ㄙㄚ4"
+ ],
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+ "ㄒㄩ4"
+ ],
+ "䬅": [
+ "ㄌㄧ4",
+ "ㄌㄧㄝ4",
+ "ㄒㄧㄝ2"
+ ],
+ "䬆": [
+ "ㄌㄧ4"
+ ],
+ "䬇": [
+ "ㄩㄢ4"
+ ],
+ "䬈": [
+ "ㄉㄨㄟ4"
+ ],
+ "䬉": [
+ "ㄏㄨㄛ4"
+ ],
+ "䬊": [
+ "ㄕㄚ4"
+ ],
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+ "ㄌㄥ2"
+ ],
+ "䬌": [
+ "ㄆㄡ1"
+ ],
+ "䬍": [
+ "ㄏㄨ1"
+ ],
+ "䬎": [
+ "ㄍㄨㄛ2",
+ "ㄒㄩ4"
+ ],
+ "䬏": [
+ "ㄅㄨ4",
+ "ㄈㄡ3"
+ ],
+ "䬐": [
+ "ㄖㄨㄟ2"
+ ],
+ "䬑": [
+ "ㄨㄟ4",
+ "ㄩ4"
+ ],
+ "䬒": [
+ "ㄙㄡ1",
+ "ㄒㄧㄠ1"
+ ],
+ "䬓": [
+ "ㄢ4"
+ ],
+ "䬔": [
+ "ㄩ2"
+ ],
+ "䬕": [
+ "ㄒㄧㄤ1",
+ "ㄕㄤ3"
+ ],
+ "䬖": [
+ "ㄏㄥ2"
+ ],
+ "䬗": [
+ "ㄧㄤ2"
+ ],
+ "䬘": [
+ "ㄒㄧㄠ1"
+ ],
+ "䬙": [
+ "ㄧㄠ2"
+ ],
+ "䬛": [
+ "ㄅㄧ4"
+ ],
+ "䬝": [
+ "ㄏㄥ2"
+ ],
+ "䬞": [
+ "ㄊㄠ2"
+ ],
+ "䬟": [
+ "ㄌㄧㄡ2",
+ "ㄌㄧㄡ3"
+ ],
+ "䬡": [
+ "ㄓㄨ4"
+ ],
+ "䬣": [
+ "ㄒㄧ4",
+ "ㄑㄧ4",
+ "ㄍㄜ1"
+ ],
+ "䬤": [
+ "ㄗㄢ4",
+ "ㄓㄢ1"
+ ],
+ "䬥": [
+ "ㄧ4"
+ ],
+ "䬦": [
+ "ㄉㄡ4",
+ "ㄕㄜ4"
+ ],
+ "䬧": [
+ "ㄩㄢ2"
+ ],
+ "䬨": [
+ "ㄐㄧㄡ4"
+ ],
+ "䬪": [
+ "ㄅㄛ2"
+ ],
+ "䬫": [
+ "ㄊㄧ2"
+ ],
+ "䬬": [
+ "ㄧㄥ3"
+ ],
+ "䬮": [
+ "ㄧ2"
+ ],
+ "䬯": [
+ "ㄋㄧㄢ2",
+ "ㄊㄧㄢ3"
+ ],
+ "䬰": [
+ "ㄕㄠ4"
+ ],
+ "䬱": [
+ "ㄅㄣ4"
+ ],
+ "䬲": [
+ "ㄍㄡ1"
+ ],
+ "䬳": [
+ "ㄅㄢ3"
+ ],
+ "䬴": [
+ "ㄇㄛ4"
+ ],
+ "䬵": [
+ "ㄍㄞ1",
+ "ㄞ4"
+ ],
+ "䬶": [
+ "ㄣ4"
+ ],
+ "䬷": [
+ "ㄕㄜ3"
+ ],
+ "䬹": [
+ "ㄓ4"
+ ],
+ "䬺": [
+ "ㄧㄤ4"
+ ],
+ "䬻": [
+ "ㄐㄧㄢ4"
+ ],
+ "䬼": [
+ "ㄩㄢ4"
+ ],
+ "䬽": [
+ "ㄕㄨㄟ4",
+ "ㄉㄨㄟ4"
+ ],
+ "䬾": [
+ "ㄊㄧ2"
+ ],
+ "䬿": [
+ "ㄨㄟ3",
+ "ㄨㄟ4"
+ ],
+ "䭀": [
+ "ㄒㄩㄣ4"
+ ],
+ "䭁": [
+ "ㄓ4"
+ ],
+ "䭂": [
+ "ㄧ4"
+ ],
+ "䭃": [
+ "ㄖㄣ3",
+ "ㄋㄧㄝ4"
+ ],
+ "䭄": [
+ "ㄕ4"
+ ],
+ "䭅": [
+ "ㄏㄨ2"
+ ],
+ "䭆": [
+ "ㄋㄜ4"
+ ],
+ "䭇": [
+ "ㄧㄝ1",
+ "ㄧ4"
+ ],
+ "䭈": [
+ "ㄐㄧㄢ4"
+ ],
+ "䭉": [
+ "ㄙㄨㄟ3"
+ ],
+ "䭊": [
+ "ㄧㄥ3"
+ ],
+ "䭋": [
+ "ㄅㄠ3"
+ ],
+ "䭌": [
+ "ㄏㄨ2"
+ ],
+ "䭍": [
+ "ㄏㄨ2"
+ ],
+ "䭎": [
+ "ㄧㄝ4"
+ ],
+ "䭐": [
+ "ㄧㄤ4"
+ ],
+ "䭑": [
+ "ㄌㄧㄢ2",
+ "ㄑㄧㄢ4",
+ "ㄒㄧㄢ4"
+ ],
+ "䭒": [
+ "ㄒㄧ1"
+ ],
+ "䭓": [
+ "ㄣ4"
+ ],
+ "䭔": [
+ "ㄉㄨㄟ1"
+ ],
+ "䭕": [
+ "ㄗㄢ3",
+ "ㄐㄧㄢ3"
+ ],
+ "䭖": [
+ "ㄓㄨ4"
+ ],
+ "䭗": [
+ "ㄧㄥ3"
+ ],
+ "䭘": [
+ "ㄧㄥ3"
+ ],
+ "䭙": [
+ "ㄐㄧㄣ3",
+ "ㄐㄧㄢ4"
+ ],
+ "䭚": [
+ "ㄔㄨㄤ2"
+ ],
+ "䭛": [
+ "ㄉㄢ4"
+ ],
+ "䭝": [
+ "ㄎㄨㄞ4"
+ ],
+ "䭞": [
+ "ㄧ4"
+ ],
+ "䭟": [
+ "ㄧㄝ4"
+ ],
+ "䭠": [
+ "ㄐㄧㄢ3"
+ ],
+ "䭡": [
+ "ㄣ4"
+ ],
+ "䭢": [
+ "ㄋㄧㄥ2"
+ ],
+ "䭣": [
+ "ㄘ2"
+ ],
+ "䭤": [
+ "ㄑㄧㄢ3"
+ ],
+ "䭥": [
+ "ㄒㄩㄝ4"
+ ],
+ "䭦": [
+ "ㄅㄛ1"
+ ],
+ "䭧": [
+ "ㄇㄧ3"
+ ],
+ "䭨": [
+ "ㄕㄨㄟ4"
+ ],
+ "䭩": [
+ "ㄇㄛ2"
+ ],
+ "䭪": [
+ "ㄌㄧㄤ2"
+ ],
+ "䭫": [
+ "ㄑㄧ3"
+ ],
+ "䭬": [
+ "ㄑㄧ3"
+ ],
+ "䭭": [
+ "ㄕㄡ3"
+ ],
+ "䭮": [
+ "ㄈㄨ2"
+ ],
+ "䭯": [
+ "ㄅㄛ2"
+ ],
+ "䭰": [
+ "ㄅㄥ4"
+ ],
+ "䭱": [
+ "ㄅㄧㄝ2"
+ ],
+ "䭲": [
+ "ㄧ3"
+ ],
+ "䭳": [
+ "ㄨㄟ4"
+ ],
+ "䭴": [
+ "ㄏㄨㄢ2"
+ ],
+ "䭵": [
+ "ㄈㄢ2"
+ ],
+ "䭶": [
+ "ㄑㄧ2"
+ ],
+ "䭷": [
+ "ㄇㄠ2"
+ ],
+ "䭸": [
+ "ㄈㄨ4"
+ ],
+ "䭹": [
+ "ㄤ2"
+ ],
+ "䭺": [
+ "ㄤ3"
+ ],
+ "䭻": [
+ "ㄈㄣ1",
+ "ㄈㄨ4"
+ ],
+ "䭼": [
+ "ㄑㄧ2"
+ ],
+ "䭽": [
+ "ㄑㄩㄣ2"
+ ],
+ "䭾": [
+ "ㄊㄨㄛ2"
+ ],
+ "䭿": [
+ "ㄧ4"
+ ],
+ "䮀": [
+ "ㄅㄛ2"
+ ],
+ "䮁": [
+ "ㄆㄧㄢ2"
+ ],
+ "䮂": [
+ "ㄅㄚ2"
+ ],
+ "䮄": [
+ "ㄒㄩㄢ2"
+ ],
+ "䮇": [
+ "ㄩ4"
+ ],
+ "䮈": [
+ "ㄔ2"
+ ],
+ "䮉": [
+ "ㄌㄨ2"
+ ],
+ "䮊": [
+ "ㄧ2"
+ ],
+ "䮋": [
+ "ㄌㄧ4"
+ ],
+ "䮍": [
+ "ㄋㄧㄠ3"
+ ],
+ "䮎": [
+ "ㄒㄧ4"
+ ],
+ "䮏": [
+ "ㄨ2"
+ ],
+ "䮑": [
+ "ㄌㄟ4",
+ "ㄌㄨㄛ4"
+ ],
+ "䮒": [
+ "ㄆㄨ1"
+ ],
+ "䮓": [
+ "ㄓㄨㄛ1",
+ "ㄔㄠ4"
+ ],
+ "䮔": [
+ "ㄗㄨㄟ1"
+ ],
+ "䮕": [
+ "ㄓㄨㄛ2"
+ ],
+ "䮖": [
+ "ㄔㄤ1"
+ ],
+ "䮗": [
+ "ㄢ4",
+ "ㄧㄢ4"
+ ],
+ "䮘": [
+ "ㄦ2"
+ ],
+ "䮙": [
+ "ㄩ4"
+ ],
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+ ],
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+ "ㄈㄨ4"
+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄊㄥ1"
+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄎㄜ1"
+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄒㄧ1"
+ ],
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+ ],
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+ "ㄒㄧㄚ2"
+ ],
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+ ],
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+ ],
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+ "ㄇㄛ3"
+ ],
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+ "ㄍㄨㄟ4"
+ ],
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+ ],
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+ "ㄑㄧ4"
+ ],
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+ "ㄇㄚ4"
+ ],
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+ "ㄑㄧㄥ4"
+ ],
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+ "ㄏㄜ4"
+ ],
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+ ],
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+ "ㄏㄠ4"
+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄆㄟ1",
+ "ㄈㄨ4"
+ ],
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+ "ㄅㄚ4"
+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄇㄧㄢ2"
+ ],
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+ "ㄙㄨㄥ1"
+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄆㄡ3",
+ "ㄅㄠ3"
+ ],
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+ "ㄉㄧㄠ1"
+ ],
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+ ],
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+ ],
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+ "ㄅㄢ1"
+ ],
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+ ],
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+ ],
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+ "ㄘㄨㄥ1"
+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄌㄨㄥ2"
+ ],
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+ ],
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+ "ㄅㄤ4"
+ ],
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+ ],
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+ ],
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+ "ㄧㄣ2",
+ "ㄕㄣ4"
+ ],
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+ "ㄅㄟ4"
+ ],
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+ "ㄅㄚ4"
+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄕㄢ4"
+ ],
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+ "ㄇㄧ3"
+ ],
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+ ],
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+ "ㄍㄥ4"
+ ],
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+ "ㄍㄥ4"
+ ],
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+ "ㄊㄡ3"
+ ],
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+ "ㄈㄨ1"
+ ],
+ "䱑": [
+ "ㄒㄩㄝ2"
+ ],
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+ "ㄧㄝ4"
+ ],
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+ "ㄊㄧㄥ2",
+ "ㄊㄧㄥ3"
+ ],
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+ "ㄔㄡ2"
+ ],
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+ "ㄇㄟ2"
+ ],
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+ "ㄌㄧㄡ2"
+ ],
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+ "ㄘㄢ1"
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+ "ㄌㄧ2"
+ ],
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+ ],
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+ ],
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+ "ㄒㄩ4",
+ "ㄧ4"
+ ],
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+ "ㄘㄨㄛ4"
+ ],
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+ "ㄆㄞ2",
+ "ㄅㄟ1"
+ ],
+ "䱞": [
+ "ㄌㄧㄡ2"
+ ],
+ "䱟": [
+ "ㄐㄩ4",
+ "ㄐㄩ1"
+ ],
+ "䱠": [
+ "ㄓㄢ4"
+ ],
+ "䱡": [
+ "ㄐㄩ2"
+ ],
+ "䱢": [
+ "ㄓㄥ1"
+ ],
+ "䱣": [
+ "ㄗㄨ2"
+ ],
+ "䱤": [
+ "ㄒㄧㄢ4"
+ ],
+ "䱥": [
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+ "ㄐㄧ4"
+ ],
+ "䱨": [
+ "ㄌㄚ4"
+ ],
+ "䱫": [
+ "ㄌㄚ4"
+ ],
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+ "ㄒㄩ1"
+ ],
+ "䱭": [
+ "ㄍㄥ4"
+ ],
+ "䱮": [
+ "ㄜ2"
+ ],
+ "䱯": [
+ "ㄇㄨ2"
+ ],
+ "䱰": [
+ "ㄓㄨㄥ4"
+ ],
+ "䱱": [
+ "ㄊㄧ2",
+ "ㄉㄧ4"
+ ],
+ "䱲": [
+ "ㄩㄢ2"
+ ],
+ "䱳": [
+ "ㄓㄢ1"
+ ],
+ "䱴": [
+ "ㄍㄥ4"
+ ],
+ "䱵": [
+ "ㄨㄥ1"
+ ],
+ "䱶": [
+ "ㄌㄤ2"
+ ],
+ "䱷": [
+ "ㄩ2"
+ ],
+ "䱸": [
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+ "ㄑㄧㄡ1"
+ ],
+ "䱹": [
+ "ㄓㄚ3"
+ ],
+ "䱺": [
+ "ㄏㄞ2"
+ ],
+ "䱻": [
+ "ㄏㄨㄚ2"
+ ],
+ "䱼": [
+ "ㄓㄢ3"
+ ],
+ "䱽": [
+ "ㄔㄤ1"
+ ],
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+ "ㄌㄡ2"
+ ],
+ "䱿": [
+ "ㄔㄢ4"
+ ],
+ "䲀": [
+ "ㄓ4"
+ ],
+ "䲁": [
+ "ㄨㄟ4"
+ ],
+ "䲂": [
+ "ㄒㄩㄢ2"
+ ],
+ "䲃": [
+ "ㄗㄠ3",
+ "ㄙㄨㄛ3",
+ "ㄔㄠ2"
+ ],
+ "䲄": [
+ "ㄇㄧㄣ2"
+ ],
+ "䲅": [
+ "ㄍㄨㄟ1"
+ ],
+ "䲆": [
+ "ㄙㄨ1"
+ ],
+ "䲉": [
+ "ㄙ1"
+ ],
+ "䲊": [
+ "ㄉㄨㄛ4",
+ "ㄨㄟ3",
+ "ㄊㄨㄛ4"
+ ],
+ "䲋": [
+ "ㄘㄣ2"
+ ],
+ "䲌": [
+ "ㄎㄨㄢ3"
+ ],
+ "䲍": [
+ "ㄊㄥ2"
+ ],
+ "䲎": [
+ "ㄋㄟ3"
+ ],
+ "䲏": [
+ "ㄌㄠ2"
+ ],
+ "䲐": [
+ "ㄌㄨ3"
+ ],
+ "䲑": [
+ "ㄧ2"
+ ],
+ "䲒": [
+ "ㄒㄧㄝ4"
+ ],
+ "䲓": [
+ "ㄧㄢ3",
+ "ㄧㄢ2"
+ ],
+ "䲔": [
+ "ㄑㄧㄥ2"
+ ],
+ "䲕": [
+ "ㄆㄨ1"
+ ],
+ "䲖": [
+ "ㄔㄡ2"
+ ],
+ "䲗": [
+ "ㄒㄧㄢ2"
+ ],
+ "䲘": [
+ "ㄍㄨㄢ3"
+ ],
+ "䲙": [
+ "ㄐㄧㄝ2"
+ ],
+ "䲚": [
+ "ㄌㄞ4"
+ ],
+ "䲛": [
+ "ㄇㄥ2"
+ ],
+ "䲜": [
+ "ㄧㄝ4"
+ ],
+ "䲞": [
+ "ㄌㄧ4"
+ ],
+ "䲟": [
+ "ㄧㄣ4"
+ ],
+ "䲠": [
+ "ㄔㄨㄣ1"
+ ],
+ "䲡": [
+ "ㄑㄧㄡ1"
+ ],
+ "䲢": [
+ "ㄊㄥ2"
+ ],
+ "䲣": [
+ "ㄩ2"
+ ],
+ "䲦": [
+ "ㄉㄞ4"
+ ],
+ "䲧": [
+ "ㄉㄨ4"
+ ],
+ "䲨": [
+ "ㄏㄨㄥ2"
+ ],
+ "䲪": [
+ "ㄒㄧ4"
+ ],
+ "䲬": [
+ "ㄑㄧ2"
+ ],
+ "䲮": [
+ "ㄩㄢ2"
+ ],
+ "䲯": [
+ "ㄐㄧ2"
+ ],
+ "䲰": [
+ "ㄩㄣ4"
+ ],
+ "䲱": [
+ "ㄈㄤ3"
+ ],
+ "䲲": [
+ "ㄍㄨㄥ1",
+ "ㄙㄨㄥ1"
+ ],
+ "䲳": [
+ "ㄏㄤ2"
+ ],
+ "䲴": [
+ "ㄓㄣ4"
+ ],
+ "䲵": [
+ "ㄑㄩㄝ4"
+ ],
+ "䲸": [
+ "ㄐㄧㄝ4"
+ ],
+ "䲹": [
+ "ㄆㄧ2"
+ ],
+ "䲺": [
+ "ㄍㄢ4"
+ ],
+ "䲻": [
+ "ㄒㄩㄢ2",
+ "ㄩㄢ1"
+ ],
+ "䲼": [
+ "ㄕㄥ1"
+ ],
+ "䲽": [
+ "ㄕ2",
+ "ㄉㄧㄠ3"
+ ],
+ "䲾": [
+ "ㄑㄧㄠ3"
+ ],
+ "䲿": [
+ "ㄘ2"
+ ],
+ "䳀": [
+ "ㄉㄧㄝ2",
+ "ㄧ4"
+ ],
+ "䳁": [
+ "ㄅㄛ2"
+ ],
+ "䳂": [
+ "ㄉㄧㄠ1",
+ "ㄔㄠ1",
+ "ㄊㄧㄠ2",
+ "ㄒㄧㄠ1"
+ ],
+ "䳃": [
+ "ㄨㄢ3"
+ ],
+ "䳄": [
+ "ㄘ2"
+ ],
+ "䳅": [
+ "ㄓ3",
+ "ㄓ4"
+ ],
+ "䳆": [
+ "ㄅㄞ2"
+ ],
+ "䳇": [
+ "ㄨ3"
+ ],
+ "䳈": [
+ "ㄅㄠ3"
+ ],
+ "䳉": [
+ "ㄉㄨㄥ1",
+ "ㄉㄢ4"
+ ],
+ "䳊": [
+ "ㄅㄚ2"
+ ],
+ "䳋": [
+ "ㄊㄨㄥ2",
+ "ㄊㄨㄥ1",
+ "ㄒㄧㄠ1"
+ ],
+ "䳍": [
+ "ㄍㄨㄥ1"
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+ "ㄍㄜ1"
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄘ2",
+ "ㄙ4"
+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄉㄡ4",
+ "ㄧㄥ1"
+ ],
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+ "ㄊㄨㄥ4"
+ ],
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+ "ㄇㄧㄥ4"
+ ],
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+ "ㄏㄜ4",
+ "ㄏㄚ4"
+ ],
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+ "ㄧㄝ1"
+ ],
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+ ],
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+ ],
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+ "ㄇㄚ2",
+ "ㄇㄚ3"
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+ ],
+ "吙": [
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+ "ㄒㄧ1"
+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄧㄣ3",
+ "ㄐㄧㄣ4"
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+ ],
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+ "ㄅㄧ4",
+ "ㄆㄧ3"
+ ],
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+ ],
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+ ],
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+ "ㄍㄜ4",
+ "ㄒㄧㄝ4"
+ ],
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+ "ㄆㄡ1"
+ ],
+ "否": [
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+ "ㄆㄧ3"
+ ],
+ "吧": [
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+ "ㄅㄚ1",
+ "ㄆㄚ1"
+ ],
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+ "ㄊㄨㄣ2",
+ "ㄊㄨㄣ3"
+ ],
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+ "ㄆㄣ4"
+ ],
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+ "ㄏㄨㄚ1"
+ ],
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+ "ㄏㄢ4"
+ ],
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+ "ㄧㄣ3",
+ "ㄧ2"
+ ],
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+ "ㄏㄤ2",
+ "ㄏㄤ4"
+ ],
+ "吮": [
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+ ],
+ "启": [
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+ ],
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+ "ㄑㄧ4"
+ ],
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+ "ㄩ2"
+ ],
+ "吴": [
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+ "ㄊㄨㄣ1"
+ ],
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+ "ㄔㄠ1",
+ "ㄇㄧㄠ3",
+ "ㄔㄠ4"
+ ],
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+ "ㄐㄩㄝ2"
+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄏㄡ3"
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+ "ㄩ2",
+ "ㄧㄚ2"
+ ],
+ "吿": [
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+ ],
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+ "ㄧㄚ1",
+ "ㄒㄧㄚ1"
+ ],
+ "呁": [
+ "ㄐㄩㄣ4"
+ ],
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+ ],
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+ "ㄜ5",
+ "ㄞ4"
+ ],
+ "呄": [
+ "ㄍㄜ2"
+ ],
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+ "ㄨㄣ3"
+ ],
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+ "ㄅㄠ3",
+ "ㄞ2"
+ ],
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+ "ㄑㄧ3",
+ "ㄇㄣ4"
+ ],
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+ "ㄎㄨㄤ2",
+ "ㄔㄥ3"
+ ],
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+ ],
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+ "ㄐㄩ1",
+ "ㄍㄨ4"
+ ],
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+ ],
+ "呌": [
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+ ],
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+ "ㄏㄨㄥ1"
+ ],
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+ "ㄧㄥ1"
+ ],
+ "呏": [
+ "ㄕㄥ1"
+ ],
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+ "ㄋㄜ4",
+ "ㄋㄚ5",
+ "ㄋㄨㄛ4",
+ "ㄋㄜ5"
+ ],
+ "呑": [
+ "ㄊㄨㄣ1"
+ ],
+ "呒": [
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+ "ㄇㄨ2"
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+ "ㄧ4"
+ ],
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+ "ㄉㄞ1",
+ "ㄊㄞ3"
+ ],
+ "呕": [
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+ "ㄡ1",
+ "ㄡ4"
+ ],
+ "呖": [
+ "ㄌㄧ4"
+ ],
+ "呗": [
+ "ㄅㄟ5",
+ "ㄅㄞ4"
+ ],
+ "员": [
+ "ㄩㄢ2",
+ "ㄩㄣ4",
+ "ㄩㄣ2"
+ ],
+ "呙": [
+ "ㄍㄨㄛ1"
+ ],
+ "呚": [
+ "ㄨㄣ5"
+ ],
+ "呛": [
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+ "ㄑㄧㄤ4"
+ ],
+ "呜": [
+ "ㄨ1"
+ ],
+ "呝": [
+ "ㄜ4"
+ ],
+ "呞": [
+ "ㄕ1"
+ ],
+ "呟": [
+ "ㄐㄩㄢ3"
+ ],
+ "呠": [
+ "ㄆㄣ3"
+ ],
+ "呡": [
+ "ㄨㄣ3",
+ "ㄇㄧㄣ3"
+ ],
+ "呢": [
+ "ㄋㄜ5",
+ "ㄋㄧ2",
+ "ㄋㄧ3",
+ "ㄋㄧ1"
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+ ],
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+ "ㄔㄤ2",
+ "ㄕㄤ1",
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+ "ㄜ3"
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+ "婊": [
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+ "ㄆㄧㄠ4",
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+ "ㄧㄢ1"
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+ "ㄐㄧㄣ4"
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+ "ㄊㄨㄢ2"
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+ "ㄘㄜ4"
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+ "ㄋㄢ3"
+ ],
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+ ],
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+ "ㄐㄧㄠ1"
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+ ],
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+ "ㄓㄢ3"
+ ],
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+ "嫻": [
+ "ㄒㄧㄢ2"
+ ],
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+ ],
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+ "ㄌㄧㄠ3",
+ "ㄌㄧㄠ4",
+ "ㄌㄠ3"
+ ],
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+ ],
+ "嫿": [
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+ "嬃": [
+ "ㄒㄩ1"
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+ "嬄": [
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+ ],
+ "嬅": [
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+ ],
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+ "ㄒㄧ1"
+ ],
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+ "ㄎㄨㄟ4"
+ ],
+ "嬈": [
+ "ㄖㄠ2",
+ "ㄖㄠ3",
+ "ㄧㄠ3"
+ ],
+ "嬉": [
+ "ㄒㄧ1",
+ "ㄒㄧ3"
+ ],
+ "嬊": [
+ "ㄧㄢ4"
+ ],
+ "嬋": [
+ "ㄔㄢ2"
+ ],
+ "嬌": [
+ "ㄐㄧㄠ1"
+ ],
+ "嬍": [
+ "ㄇㄟ3"
+ ],
+ "嬎": [
+ "ㄈㄢ4",
+ "ㄈㄨ4"
+ ],
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+ "ㄈㄢ1"
+ ],
+ "嬐": [
+ "ㄒㄧㄢ1",
+ "ㄧㄢ3",
+ "ㄐㄧㄣ4"
+ ],
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+ "ㄧ4"
+ ],
+ "嬒": [
+ "ㄏㄨㄟ4"
+ ],
+ "嬓": [
+ "ㄐㄧㄠ4"
+ ],
+ "嬔": [
+ "ㄈㄨ4"
+ ],
+ "嬕": [
+ "ㄕ4"
+ ],
+ "嬖": [
+ "ㄅㄧ4"
+ ],
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+ "ㄕㄢ4",
+ "ㄔㄢ2"
+ ],
+ "嬘": [
+ "ㄙㄨㄟ4"
+ ],
+ "嬙": [
+ "ㄑㄧㄤ2"
+ ],
+ "嬚": [
+ "ㄌㄧㄢ3"
+ ],
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+ "ㄒㄩㄢ1",
+ "ㄑㄩㄥ2",
+ "ㄒㄩㄢ2"
+ ],
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+ "ㄒㄧㄣ1"
+ ],
+ "嬝": [
+ "ㄋㄧㄠ3"
+ ],
+ "嬞": [
+ "ㄉㄨㄥ3"
+ ],
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+ "ㄧ4",
+ "ㄧ3"
+ ],
+ "嬠": [
+ "ㄘㄢ1"
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+ "嬡": [
+ "ㄞ4"
+ ],
+ "嬢": [
+ "ㄋㄧㄤ2"
+ ],
+ "嬣": [
+ "ㄋㄧㄥ2"
+ ],
+ "嬤": [
+ "ㄇㄚ1"
+ ],
+ "嬥": [
+ "ㄊㄧㄠ3",
+ "ㄉㄧㄠ4"
+ ],
+ "嬦": [
+ "ㄔㄡ2"
+ ],
+ "嬧": [
+ "ㄐㄧㄣ4"
+ ],
+ "嬨": [
+ "ㄘ2"
+ ],
+ "嬩": [
+ "ㄩ2"
+ ],
+ "嬪": [
+ "ㄆㄧㄣ2"
+ ],
+ "嬫": [
+ "ㄖㄨㄥ2"
+ ],
+ "嬬": [
+ "ㄖㄨ2",
+ "ㄋㄡ4"
+ ],
+ "嬭": [
+ "ㄋㄞ3",
+ "ㄦ3",
+ "ㄋㄧ4"
+ ],
+ "嬮": [
+ "ㄧㄢ1",
+ "ㄧㄢ4"
+ ],
+ "嬯": [
+ "ㄊㄞ2"
+ ],
+ "嬰": [
+ "ㄧㄥ1",
+ "ㄧㄥ4"
+ ],
+ "嬱": [
+ "ㄑㄧㄢ4"
+ ],
+ "嬲": [
+ "ㄋㄧㄠ3"
+ ],
+ "嬳": [
+ "ㄩㄝ4"
+ ],
+ "嬴": [
+ "ㄧㄥ2"
+ ],
+ "嬵": [
+ "ㄇㄧㄢ2"
+ ],
+ "嬶": [
+ "ㄅㄧ2"
+ ],
+ "嬷": [
+ "ㄇㄚ1",
+ "ㄇㄛ2"
+ ],
+ "嬸": [
+ "ㄕㄣ3"
+ ],
+ "嬹": [
+ "ㄒㄧㄥ4",
+ "ㄒㄧㄥ1"
+ ],
+ "嬺": [
+ "ㄋㄧ4"
+ ],
+ "嬻": [
+ "ㄉㄨ2"
+ ],
+ "嬼": [
+ "ㄌㄧㄡ3"
+ ],
+ "嬽": [
+ "ㄩㄢ1"
+ ],
+ "嬾": [
+ "ㄌㄢ3"
+ ],
+ "嬿": [
+ "ㄧㄢ4"
+ ],
+ "孀": [
+ "ㄕㄨㄤ1"
+ ],
+ "孁": [
+ "ㄌㄧㄥ2"
+ ],
+ "孂": [
+ "ㄐㄧㄠ3"
+ ],
+ "孃": [
+ "ㄋㄧㄤ2",
+ "ㄖㄤ2"
+ ],
+ "孄": [
+ "ㄌㄢ3"
+ ],
+ "孅": [
+ "ㄑㄧㄢ1",
+ "ㄒㄧㄢ1"
+ ],
+ "孆": [
+ "ㄧㄥ1"
+ ],
+ "孇": [
+ "ㄕㄨㄤ1"
+ ],
+ "孈": [
+ "ㄏㄨㄟ4",
+ "ㄒㄧㄝ2"
+ ],
+ "孉": [
+ "ㄑㄩㄢ2",
+ "ㄏㄨㄢ1"
+ ],
+ "孊": [
+ "ㄇㄧ3"
+ ],
+ "孋": [
+ "ㄌㄧ2",
+ "ㄌㄧ4"
+ ],
+ "孌": [
+ "ㄌㄨㄢ2",
+ "ㄌㄧㄢ4",
+ "ㄌㄨㄢ3"
+ ],
+ "孍": [
+ "ㄧㄢ2",
+ "ㄧㄢ3"
+ ],
+ "孎": [
+ "ㄓㄨ2",
+ "ㄕㄨ2",
+ "ㄔㄨㄛ4"
+ ],
+ "孏": [
+ "ㄌㄢ3"
+ ],
+ "子": [
+ "ㄗ5",
+ "ㄗ3"
+ ],
+ "孑": [
+ "ㄐㄧㄝ2"
+ ],
+ "孒": [
+ "ㄐㄩㄝ2"
+ ],
+ "孓": [
+ "ㄐㄩㄝ2"
+ ],
+ "孔": [
+ "ㄎㄨㄥ3"
+ ],
+ "孕": [
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+ "ㄧㄠ2"
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+ "ㄅㄧ3"
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+ ],
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+ "ㄐㄩㄝ2"
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+ ],
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+ ],
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+ "ㄨㄟ1",
+ "ㄨㄟ3"
+ ],
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+ "ㄉㄤ4"
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+ ],
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+ ],
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+ "ㄗㄞ3"
+ ],
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+ "ㄧㄠ4"
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+ ],
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+ "ㄓㄨ4"
+ ],
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+ "ㄓㄢ4"
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+ ],
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+ "ㄧㄢ4"
+ ],
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+ "ㄏㄢ2"
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+ ],
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+ "ㄒㄧ2"
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+ ],
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+ "ㄕㄥ4",
+ "ㄔㄥ2"
+ ],
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+ "ㄇㄟ2"
+ ],
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+ "ㄏㄢ3",
+ "ㄎㄢ4"
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+ "ㄇㄠ2"
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+ ],
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+ "ㄌㄢ2"
+ ],
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+ "ㄐㄧㄝ2"
+ ],
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+ "ㄋㄧㄝ4"
+ ],
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+ "ㄧㄢ2"
+ ],
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+ "ㄨㄟ3"
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+ ],
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+ ],
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+ ],
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+ "ㄊㄨ2"
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+ ],
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+ ],
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+ "ㄊㄤ2"
+ ],
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+ "ㄧㄥ2"
+ ],
+ "嵥": [
+ "ㄐㄧㄝ2"
+ ],
+ "嵦": [
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+ "ㄞ2"
+ ],
+ "嵧": [
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+ ],
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+ ],
+ "嵪": [
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+ "ㄎㄠ1"
+ ],
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+ ],
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+ "ㄨㄟ3"
+ ],
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+ "ㄅㄥ1"
+ ],
+ "嵮": [
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+ ],
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+ "ㄘ1"
+ ],
+ "嵰": [
+ "ㄑㄧㄢ3"
+ ],
+ "嵱": [
+ "ㄩㄥ3",
+ "ㄩㄥ2"
+ ],
+ "嵲": [
+ "ㄋㄧㄝ4"
+ ],
+ "嵳": [
+ "ㄘㄨㄛ2"
+ ],
+ "嵴": [
+ "ㄐㄧ3",
+ "ㄐㄧ2"
+ ],
+ "嵵": [
+ "ㄕ2"
+ ],
+ "嵶": [
+ "ㄖㄨㄛ4"
+ ],
+ "嵷": [
+ "ㄙㄨㄥ3"
+ ],
+ "嵸": [
+ "ㄗㄨㄥ1"
+ ],
+ "嵹": [
+ "ㄐㄧㄤ4"
+ ],
+ "嵺": [
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+ "ㄐㄧㄠ1"
+ ],
+ "嵻": [
+ "ㄎㄤ1"
+ ],
+ "嵼": [
+ "ㄔㄢ3"
+ ],
+ "嵽": [
+ "ㄉㄧㄝ2",
+ "ㄉㄧ4"
+ ],
+ "嵾": [
+ "ㄘㄣ1",
+ "ㄘㄢ1"
+ ],
+ "嵿": [
+ "ㄉㄧㄥ3"
+ ],
+ "嶀": [
+ "ㄊㄨ1"
+ ],
+ "嶁": [
+ "ㄌㄡ3"
+ ],
+ "嶂": [
+ "ㄓㄤ4"
+ ],
+ "嶃": [
+ "ㄓㄢ3"
+ ],
+ "嶄": [
+ "ㄓㄢ3",
+ "ㄔㄢ2"
+ ],
+ "嶅": [
+ "ㄠ2",
+ "ㄠ4"
+ ],
+ "嶆": [
+ "ㄘㄠ2"
+ ],
+ "嶇": [
+ "ㄑㄩ1"
+ ],
+ "嶈": [
+ "ㄑㄧㄤ1"
+ ],
+ "嶉": [
+ "ㄘㄨㄟ1",
+ "ㄗㄨㄟ3"
+ ],
+ "嶊": [
+ "ㄗㄨㄟ3"
+ ],
+ "嶋": [
+ "ㄉㄠ3"
+ ],
+ "嶌": [
+ "ㄉㄠ3"
+ ],
+ "嶍": [
+ "ㄒㄧ2"
+ ],
+ "嶎": [
+ "ㄩ4"
+ ],
+ "嶏": [
+ "ㄆㄟ4",
+ "ㄆㄧ3"
+ ],
+ "嶐": [
+ "ㄌㄨㄥ2"
+ ],
+ "嶑": [
+ "ㄒㄧㄤ4"
+ ],
+ "嶒": [
+ "ㄘㄥ2",
+ "ㄓㄥ1"
+ ],
+ "嶓": [
+ "ㄅㄛ1"
+ ],
+ "嶔": [
+ "ㄑㄧㄣ1"
+ ],
+ "嶕": [
+ "ㄐㄧㄠ1"
+ ],
+ "嶖": [
+ "ㄧㄢ1"
+ ],
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+ "ㄌㄠ2"
+ ],
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+ "ㄓㄢ4"
+ ],
+ "嶙": [
+ "ㄌㄧㄣ2",
+ "ㄌㄧㄣ3"
+ ],
+ "嶚": [
+ "ㄌㄧㄠ2"
+ ],
+ "嶛": [
+ "ㄌㄧㄠ2"
+ ],
+ "嶜": [
+ "ㄐㄧㄣ1",
+ "ㄑㄧㄣ2"
+ ],
+ "嶝": [
+ "ㄉㄥ4"
+ ],
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+ "ㄉㄨㄛ4"
+ ],
+ "嶟": [
+ "ㄗㄨㄣ1"
+ ],
+ "嶠": [
+ "ㄐㄧㄠ4",
+ "ㄑㄧㄠ2"
+ ],
+ "嶡": [
+ "ㄍㄨㄟ4",
+ "ㄐㄩㄝ2"
+ ],
+ "嶢": [
+ "ㄧㄠ2"
+ ],
+ "嶣": [
+ "ㄐㄧㄠ1"
+ ],
+ "嶤": [
+ "ㄧㄠ2"
+ ],
+ "嶥": [
+ "ㄐㄩㄝ2"
+ ],
+ "嶦": [
+ "ㄓㄢ1",
+ "ㄕㄢ4"
+ ],
+ "嶧": [
+ "ㄧ4"
+ ],
+ "嶨": [
+ "ㄒㄩㄝ2"
+ ],
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+ "ㄋㄠ2"
+ ],
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+ "ㄧㄝ4"
+ ],
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+ "ㄧㄝ4"
+ ],
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+ "ㄧ2",
+ "ㄧ3"
+ ],
+ "嶭": [
+ "ㄋㄧㄝ4"
+ ],
+ "嶮": [
+ "ㄒㄧㄢ3",
+ "ㄧㄢ3"
+ ],
+ "嶯": [
+ "ㄐㄧ2"
+ ],
+ "嶰": [
+ "ㄒㄧㄝ4",
+ "ㄐㄧㄝ4"
+ ],
+ "嶱": [
+ "ㄎㄜ3"
+ ],
+ "嶲": [
+ "ㄒㄧ1"
+ ],
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+ "ㄉㄧ4"
+ ],
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+ "ㄠ4"
+ ],
+ "嶵": [
+ "ㄗㄨㄟ3"
+ ],
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+ "ㄨㄟ1"
+ ],
+ "嶷": [
+ "ㄧ2",
+ "ㄋㄧ4"
+ ],
+ "嶸": [
+ "ㄖㄨㄥ2"
+ ],
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+ "ㄉㄠ3"
+ ],
+ "嶺": [
+ "ㄌㄧㄥ3"
+ ],
+ "嶻": [
+ "ㄐㄧㄝ2"
+ ],
+ "嶼": [
+ "ㄩ3",
+ "ㄒㄩ4"
+ ],
+ "嶽": [
+ "ㄩㄝ4"
+ ],
+ "嶾": [
+ "ㄧㄣ3"
+ ],
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+ "ㄖㄨ5"
+ ],
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+ "ㄐㄧㄝ2"
+ ],
+ "巁": [
+ "ㄌㄧ4",
+ "ㄌㄧㄝ4"
+ ],
+ "巂": [
+ "ㄍㄨㄟ1",
+ "ㄒㄧ1",
+ "ㄐㄩㄢ4"
+ ],
+ "巃": [
+ "ㄌㄨㄥ2"
+ ],
+ "巄": [
+ "ㄌㄨㄥ2"
+ ],
+ "巅": [
+ "ㄉㄧㄢ1"
+ ],
+ "巆": [
+ "ㄖㄨㄥ2",
+ "ㄏㄨㄥ1",
+ "ㄧㄥ2"
+ ],
+ "巇": [
+ "ㄒㄧ1"
+ ],
+ "巈": [
+ "ㄐㄩ2"
+ ],
+ "巉": [
+ "ㄔㄢ2"
+ ],
+ "巊": [
+ "ㄧㄥ3"
+ ],
+ "巋": [
+ "ㄎㄨㄟ1",
+ "ㄎㄨㄟ4",
+ "ㄨㄟ3"
+ ],
+ "巌": [
+ "ㄧㄢ2"
+ ],
+ "巍": [
+ "ㄨㄟ1"
+ ],
+ "巎": [
+ "ㄋㄠ2"
+ ],
+ "巏": [
+ "ㄑㄩㄢ2"
+ ],
+ "巐": [
+ "ㄔㄠ3"
+ ],
+ "巑": [
+ "ㄘㄨㄢ2"
+ ],
+ "巒": [
+ "ㄌㄨㄢ2"
+ ],
+ "巓": [
+ "ㄉㄧㄢ1"
+ ],
+ "巔": [
+ "ㄉㄧㄢ1"
+ ],
+ "巕": [
+ "ㄋㄧㄝ4"
+ ],
+ "巖": [
+ "ㄧㄢ2"
+ ],
+ "巗": [
+ "ㄧㄢ2"
+ ],
+ "巘": [
+ "ㄧㄢ3"
+ ],
+ "巙": [
+ "ㄎㄨㄟ2",
+ "ㄋㄠ2"
+ ],
+ "巚": [
+ "ㄧㄢ3"
+ ],
+ "巛": [
+ "ㄔㄨㄢ1",
+ "ㄕㄨㄣ4"
+ ],
+ "巜": [
+ "ㄎㄨㄞ4",
+ "ㄏㄨㄢ1"
+ ],
+ "川": [
+ "ㄔㄨㄢ1"
+ ],
+ "州": [
+ "ㄓㄡ1"
+ ],
+ "巟": [
+ "ㄏㄨㄤ1"
+ ],
+ "巠": [
+ "ㄐㄧㄥ1",
+ "ㄒㄧㄥ2"
+ ],
+ "巡": [
+ "ㄒㄩㄣ2",
+ "ㄧㄢ2",
+ "ㄕㄨㄣ4"
+ ],
+ "巢": [
+ "ㄔㄠ2",
+ "ㄔㄠ4"
+ ],
+ "巣": [
+ "ㄔㄠ2"
+ ],
+ "巤": [
+ "ㄌㄧㄝ4"
+ ],
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+ "ㄍㄨㄥ1"
+ ],
+ "左": [
+ "ㄗㄨㄛ3"
+ ],
+ "巧": [
+ "ㄑㄧㄠ3"
+ ],
+ "巨": [
+ "ㄐㄩ4",
+ "ㄑㄩ2"
+ ],
+ "巩": [
+ "ㄍㄨㄥ3"
+ ],
+ "巪": [
+ "ㄐㄩ4"
+ ],
+ "巫": [
+ "ㄨ1"
+ ],
+ "巬": [
+ "ㄆㄨ5"
+ ],
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+ "ㄆㄨ5"
+ ],
+ "差": [
+ "ㄔㄚ4",
+ "ㄔㄚ1",
+ "ㄔㄞ1",
+ "ㄘ1",
+ "ㄔㄞ4",
+ "ㄘㄨㄛ1",
+ "ㄐㄧㄝ1"
+ ],
+ "巯": [
+ "ㄑㄧㄡ2"
+ ],
+ "巰": [
+ "ㄑㄧㄡ2"
+ ],
+ "己": [
+ "ㄐㄧ3",
+ "ㄑㄧ3"
+ ],
+ "已": [
+ "ㄧ3",
+ "ㄙ4"
+ ],
+ "巳": [
+ "ㄙ4",
+ "ㄧ3"
+ ],
+ "巴": [
+ "ㄅㄚ1"
+ ],
+ "巵": [
+ "ㄓ1"
+ ],
+ "巶": [
+ "ㄓㄠ1"
+ ],
+ "巷": [
+ "ㄒㄧㄤ4",
+ "ㄏㄤ4"
+ ],
+ "巸": [
+ "ㄧ2"
+ ],
+ "巹": [
+ "ㄐㄧㄣ3"
+ ],
+ "巺": [
+ "ㄒㄩㄣ4"
+ ],
+ "巻": [
+ "ㄐㄩㄢ4"
+ ],
+ "巼": [
+ "ㄅㄚ1"
+ ],
+ "巽": [
+ "ㄒㄩㄣ4",
+ "ㄓㄨㄢ4"
+ ],
+ "巾": [
+ "ㄐㄧㄣ1"
+ ],
+ "巿": [
+ "ㄈㄨ2",
+ "ㄆㄛ2"
+ ],
+ "帀": [
+ "ㄗㄚ1"
+ ],
+ "币": [
+ "ㄅㄧ4",
+ "ㄧㄣ4"
+ ],
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+ "ㄕ4",
+ "ㄈㄨ2"
+ ],
+ "布": [
+ "ㄅㄨ4"
+ ],
+ "帄": [
+ "ㄉㄧㄥ1"
+ ],
+ "帅": [
+ "ㄕㄨㄞ4"
+ ],
+ "帆": [
+ "ㄈㄢ1",
+ "ㄈㄢ2",
+ "ㄈㄢ4"
+ ],
+ "帇": [
+ "ㄋㄧㄝ4"
+ ],
+ "师": [
+ "ㄕ1"
+ ],
+ "帉": [
+ "ㄈㄣ1"
+ ],
+ "帊": [
+ "ㄆㄚ4",
+ "ㄆㄚ1"
+ ],
+ "帋": [
+ "ㄓ3"
+ ],
+ "希": [
+ "ㄒㄧ1"
+ ],
+ "帍": [
+ "ㄏㄨ4"
+ ],
+ "帎": [
+ "ㄉㄢ4"
+ ],
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+ "ㄨㄟ2"
+ ],
+ "帐": [
+ "ㄓㄤ4"
+ ],
+ "帑": [
+ "ㄊㄤ3",
+ "ㄋㄨ2"
+ ],
+ "帒": [
+ "ㄉㄞ4"
+ ],
+ "帓": [
+ "ㄇㄛ4",
+ "ㄨㄚ4"
+ ],
+ "帔": [
+ "ㄆㄟ4",
+ "ㄆㄧ1"
+ ],
+ "帕": [
+ "ㄆㄚ4",
+ "ㄇㄛ4"
+ ],
+ "帖": [
+ "ㄊㄧㄝ1",
+ "ㄊㄧㄝ3",
+ "ㄊㄧㄝ4"
+ ],
+ "帗": [
+ "ㄅㄛ1",
+ "ㄈㄨ2"
+ ],
+ "帘": [
+ "ㄌㄧㄢ2",
+ "ㄔㄣ2"
+ ],
+ "帙": [
+ "ㄓ4"
+ ],
+ "帚": [
+ "ㄓㄡ3"
+ ],
+ "帛": [
+ "ㄅㄛ2"
+ ],
+ "帜": [
+ "ㄓ4"
+ ],
+ "帝": [
+ "ㄉㄧ4"
+ ],
+ "帞": [
+ "ㄇㄛ4"
+ ],
+ "帟": [
+ "ㄧ4"
+ ],
+ "帠": [
+ "ㄧ4"
+ ],
+ "帡": [
+ "ㄆㄧㄥ2"
+ ],
+ "帢": [
+ "ㄑㄧㄚ4"
+ ],
+ "帣": [
+ "ㄐㄩㄢ3",
+ "ㄐㄩㄢ4"
+ ],
+ "帤": [
+ "ㄖㄨ2"
+ ],
+ "帥": [
+ "ㄕㄨㄞ4"
+ ],
+ "带": [
+ "ㄉㄞ4"
+ ],
+ "帧": [
+ "ㄓㄣ1",
+ "ㄓㄥ4"
+ ],
+ "帨": [
+ "ㄕㄨㄟ4"
+ ],
+ "帩": [
+ "ㄑㄧㄠ4"
+ ],
+ "帪": [
+ "ㄓㄣ1"
+ ],
+ "師": [
+ "ㄕ1"
+ ],
+ "帬": [
+ "ㄑㄩㄣ2"
+ ],
+ "席": [
+ "ㄒㄧ2"
+ ],
+ "帮": [
+ "ㄅㄤ1"
+ ],
+ "帯": [
+ "ㄉㄞ4"
+ ],
+ "帰": [
+ "ㄍㄨㄟ1"
+ ],
+ "帱": [
+ "ㄔㄡ2",
+ "ㄉㄠ4"
+ ],
+ "帲": [
+ "ㄆㄧㄥ2"
+ ],
+ "帳": [
+ "ㄓㄤ4"
+ ],
+ "帴": [
+ "ㄙㄢ4",
+ "ㄐㄧㄢ3",
+ "ㄐㄧㄢ1"
+ ],
+ "帵": [
+ "ㄨㄢ1"
+ ],
+ "帶": [
+ "ㄉㄞ4"
+ ],
+ "帷": [
+ "ㄨㄟ2"
+ ],
+ "常": [
+ "ㄔㄤ2"
+ ],
+ "帹": [
+ "ㄕㄚ4",
+ "ㄑㄧㄝ4"
+ ],
+ "帺": [
+ "ㄑㄧ2",
+ "ㄐㄧ4"
+ ],
+ "帻": [
+ "ㄗㄜ2"
+ ],
+ "帼": [
+ "ㄍㄨㄛ2"
+ ],
+ "帽": [
+ "ㄇㄠ4"
+ ],
+ "帾": [
+ "ㄉㄨ3"
+ ],
+ "帿": [
+ "ㄏㄡ2"
+ ],
+ "幀": [
+ "ㄓㄥ4"
+ ],
+ "幁": [
+ "ㄒㄩ1"
+ ],
+ "幂": [
+ "ㄇㄧ4"
+ ],
+ "幃": [
+ "ㄨㄟ2"
+ ],
+ "幄": [
+ "ㄨㄛ4"
+ ],
+ "幅": [
+ "ㄈㄨ2",
+ "ㄅㄧ1"
+ ],
+ "幆": [
+ "ㄧ4",
+ "ㄎㄞ4"
+ ],
+ "幇": [
+ "ㄅㄤ1"
+ ],
+ "幈": [
+ "ㄆㄧㄥ2"
+ ],
+ "幉": [
+ "ㄉㄧㄝ2"
+ ],
+ "幊": [
+ "ㄍㄨㄥ1"
+ ],
+ "幋": [
+ "ㄆㄢ2"
+ ],
+ "幌": [
+ "ㄏㄨㄤ3"
+ ],
+ "幍": [
+ "ㄊㄠ1"
+ ],
+ "幎": [
+ "ㄇㄧ4"
+ ],
+ "幏": [
+ "ㄐㄧㄚ4"
+ ],
+ "幐": [
+ "ㄊㄥ2"
+ ],
+ "幑": [
+ "ㄏㄨㄟ1"
+ ],
+ "幒": [
+ "ㄓㄨㄥ1"
+ ],
+ "幓": [
+ "ㄕㄢ1",
+ "ㄕㄣ1",
+ "ㄑㄧㄠ1"
+ ],
+ "幔": [
+ "ㄇㄢ4"
+ ],
+ "幕": [
+ "ㄇㄨ4",
+ "ㄇㄢ4"
+ ],
+ "幖": [
+ "ㄅㄧㄠ1"
+ ],
+ "幗": [
+ "ㄍㄨㄛ2"
+ ],
+ "幘": [
+ "ㄗㄜ2",
+ "ㄘㄜ4"
+ ],
+ "幙": [
+ "ㄇㄨ4"
+ ],
+ "幚": [
+ "ㄅㄤ1"
+ ],
+ "幛": [
+ "ㄓㄤ4"
+ ],
+ "幜": [
+ "ㄐㄧㄥ3"
+ ],
+ "幝": [
+ "ㄔㄢ3",
+ "ㄔㄢ4"
+ ],
+ "幞": [
+ "ㄈㄨ2"
+ ],
+ "幟": [
+ "ㄓ4"
+ ],
+ "幠": [
+ "ㄏㄨ1",
+ "ㄨ2"
+ ],
+ "幡": [
+ "ㄈㄢ1"
+ ],
+ "幢": [
+ "ㄔㄨㄤ2",
+ "ㄓㄨㄤ4"
+ ],
+ "幣": [
+ "ㄅㄧ4"
+ ],
+ "幤": [
+ "ㄅㄧ4"
+ ],
+ "幥": [
+ "ㄓㄤ3"
+ ],
+ "幦": [
+ "ㄇㄧ4"
+ ],
+ "幧": [
+ "ㄑㄧㄠ1"
+ ],
+ "幨": [
+ "ㄔㄢ1",
+ "ㄔㄢ4"
+ ],
+ "幩": [
+ "ㄈㄣ2",
+ "ㄈㄣ4"
+ ],
+ "幪": [
+ "ㄇㄥ2",
+ "ㄇㄥ3"
+ ],
+ "幫": [
+ "ㄅㄤ1"
+ ],
+ "幬": [
+ "ㄔㄡ2",
+ "ㄉㄠ4"
+ ],
+ "幭": [
+ "ㄇㄧㄝ4"
+ ],
+ "幮": [
+ "ㄔㄨ2"
+ ],
+ "幯": [
+ "ㄐㄧㄝ2"
+ ],
+ "幰": [
+ "ㄒㄧㄢ3"
+ ],
+ "幱": [
+ "ㄌㄢ2"
+ ],
+ "干": [
+ "ㄍㄢ4",
+ "ㄍㄢ1",
+ "ㄢ4"
+ ],
+ "平": [
+ "ㄆㄧㄥ2",
+ "ㄆㄧㄢ2",
+ "ㄅㄧㄥ4",
+ "ㄅㄥ1"
+ ],
+ "年": [
+ "ㄋㄧㄢ2",
+ "ㄋㄧㄥ4"
+ ],
+ "幵": [
+ "ㄐㄧㄢ1",
+ "ㄑㄧㄢ1"
+ ],
+ "并": [
+ "ㄅㄧㄥ4",
+ "ㄅㄧㄥ1"
+ ],
+ "幷": [
+ "ㄅㄧㄥ4",
+ "ㄅㄧㄥ1"
+ ],
+ "幸": [
+ "ㄒㄧㄥ4",
+ "ㄋㄧㄝ4"
+ ],
+ "幹": [
+ "ㄍㄢ4",
+ "ㄍㄢ1",
+ "ㄏㄢ2",
+ "ㄍㄨㄢ3"
+ ],
+ "幺": [
+ "ㄧㄠ1",
+ "ㄇㄧ4"
+ ],
+ "幻": [
+ "ㄏㄨㄢ4"
+ ],
+ "幼": [
+ "ㄧㄡ4",
+ "ㄧㄠ4"
+ ],
+ "幽": [
+ "ㄧㄡ1"
+ ],
+ "幾": [
+ "ㄐㄧ3",
+ "ㄐㄧ1",
+ "ㄐㄧ4",
+ "ㄑㄧ2"
+ ],
+ "广": [
+ "ㄍㄨㄤ3",
+ "ㄧㄢ3",
+ "ㄢ1"
+ ],
+ "庀": [
+ "ㄆㄧ3"
+ ],
+ "庁": [
+ "ㄊㄧㄥ1"
+ ],
+ "庂": [
+ "ㄗㄜ4"
+ ],
+ "広": [
+ "ㄍㄨㄤ3"
+ ],
+ "庄": [
+ "ㄓㄨㄤ1",
+ "ㄆㄥ2"
+ ],
+ "庅": [
+ "ㄇㄛ2"
+ ],
+ "庆": [
+ "ㄑㄧㄥ4"
+ ],
+ "庇": [
+ "ㄅㄧ4",
+ "ㄆㄧ2",
+ "ㄆㄧ3"
+ ],
+ "庈": [
+ "ㄑㄧㄣ2"
+ ],
+ "庉": [
+ "ㄉㄨㄣ4",
+ "ㄊㄨㄣ2"
+ ],
+ "床": [
+ "ㄔㄨㄤ2"
+ ],
+ "庋": [
+ "ㄍㄨㄟ3",
+ "ㄍㄨㄟ4"
+ ],
+ "庌": [
+ "ㄧㄚ3",
+ "ㄧㄚ2"
+ ],
+ "庍": [
+ "ㄅㄞ4",
+ "ㄒㄧㄣ4",
+ "ㄊㄧㄥ1"
+ ],
+ "庎": [
+ "ㄐㄧㄝ4"
+ ],
+ "序": [
+ "ㄒㄩ4"
+ ],
+ "庐": [
+ "ㄌㄨ2"
+ ],
+ "庑": [
+ "ㄨ3"
+ ],
+ "庒": [
+ "ㄓㄨㄤ1"
+ ],
+ "库": [
+ "ㄎㄨ4"
+ ],
+ "应": [
+ "ㄧㄥ1",
+ "ㄧㄥ4"
+ ],
+ "底": [
+ "ㄉㄧ3",
+ "ㄉㄜ5"
+ ],
+ "庖": [
+ "ㄆㄠ2"
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+ "ㄅㄟ3"
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+ ],
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+ ],
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+ ],
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+ "ㄇㄣ1"
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+ "ㄌㄧ4"
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+ "ㄐㄧ4"
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+ ],
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+ "ㄍㄨㄢ4"
+ ],
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+ "ㄒㄧㄥ4"
+ ],
+ "悼": [
+ "ㄉㄠ4"
+ ],
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+ "ㄑㄧ1",
+ "ㄑㄧ4"
+ ],
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+ "ㄎㄨㄥ1",
+ "ㄎㄨㄥ3"
+ ],
+ "悿": [
+ "ㄊㄧㄢ3"
+ ],
+ "惀": [
+ "ㄌㄨㄣ2",
+ "ㄌㄨㄣ4"
+ ],
+ "惁": [
+ "ㄒㄧ1"
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄌㄧㄤ2"
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+ "ㄨㄢ3"
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+ ],
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+ ],
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+ ],
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+ "ㄨㄟ3"
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+ "ㄏㄨ1"
+ ],
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+ ],
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+ ],
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+ "ㄑㄧ4",
+ "ㄏㄜ4"
+ ],
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+ "ㄧㄤ2"
+ ],
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+ "ㄧㄣ1"
+ ],
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+ ],
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+ "ㄉㄢ1",
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+ ],
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+ ],
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+ "ㄎㄜ4"
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄏㄢ4"
+ ],
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+ "ㄨㄣ3"
+ ],
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+ ],
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+ "ㄙ1",
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+ ],
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+ ],
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+ ],
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+ "ㄍㄨㄥ4",
+ "ㄏㄨㄥ3"
+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄧㄠ4"
+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄔㄨㄤ3"
+ ],
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+ "ㄋㄧ4"
+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄒㄧ4",
+ "ㄑㄧ4"
+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄘㄠ3"
+ ],
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+ ],
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+ "ㄔㄨ4"
+ ],
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+ "ㄒㄧㄢ2",
+ "ㄑㄧㄢ3"
+ ],
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+ "ㄊㄞ4"
+ ],
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+ "ㄏㄨㄤ3",
+ "ㄏㄨㄤ5"
+ ],
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+ "ㄩㄣ4"
+ ],
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+ "ㄓㄣ4"
+ ],
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+ ],
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+ ],
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+ "ㄕㄜ4"
+ ],
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+ "ㄘㄠ2"
+ ],
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+ "ㄆㄧㄠ4"
+ ],
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+ "ㄇㄨ4"
+ ],
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+ ],
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+ "ㄍㄨㄛ2"
+ ],
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+ "ㄔ4"
+ ],
+ "慘": [
+ "ㄘㄢ3"
+ ],
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+ "ㄘㄢ2"
+ ],
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+ ],
+ "慛": [
+ "ㄘㄨㄟ1"
+ ],
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+ ],
+ "慝": [
+ "ㄊㄜ4",
+ "ㄋㄧ4"
+ ],
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+ "ㄓㄤ1"
+ ],
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+ "ㄊㄨㄥ4"
+ ],
+ "慠": [
+ "ㄠ4",
+ "ㄠ2"
+ ],
+ "慡": [
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+ ],
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+ "ㄇㄢ4",
+ "ㄇㄢ2"
+ ],
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+ "ㄍㄨㄢ4"
+ ],
+ "慤": [
+ "ㄑㄩㄝ4"
+ ],
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+ "ㄘㄠ4"
+ ],
+ "慦": [
+ "ㄐㄧㄡ4"
+ ],
+ "慧": [
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+ ],
+ "慨": [
+ "ㄎㄞ3"
+ ],
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+ ],
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+ "ㄡ1"
+ ],
+ "慫": [
+ "ㄙㄨㄥ3"
+ ],
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+ "ㄑㄧㄣ2",
+ "ㄐㄧㄣ4",
+ "ㄐㄧㄣ3"
+ ],
+ "慭": [
+ "ㄧㄣ4"
+ ],
+ "慮": [
+ "ㄌㄩ4",
+ "ㄌㄩ2"
+ ],
+ "慯": [
+ "ㄕㄤ1"
+ ],
+ "慰": [
+ "ㄨㄟ4"
+ ],
+ "慱": [
+ "ㄊㄨㄢ2"
+ ],
+ "慲": [
+ "ㄇㄢ2"
+ ],
+ "慳": [
+ "ㄑㄧㄢ1",
+ "ㄒㄧㄢ2"
+ ],
+ "慴": [
+ "ㄕㄜ4",
+ "ㄓㄜ2"
+ ],
+ "慵": [
+ "ㄩㄥ1"
+ ],
+ "慶": [
+ "ㄑㄧㄥ4",
+ "ㄑㄧㄥ1",
+ "ㄑㄧㄤ1"
+ ],
+ "慷": [
+ "ㄎㄤ1"
+ ],
+ "慸": [
+ "ㄉㄧ4",
+ "ㄔ4"
+ ],
+ "慹": [
+ "ㄓ2",
+ "ㄓㄜ2"
+ ],
+ "慺": [
+ "ㄌㄡ2",
+ "ㄌㄩ3"
+ ],
+ "慻": [
+ "ㄐㄩㄢ4"
+ ],
+ "慼": [
+ "ㄑㄧ1"
+ ],
+ "慽": [
+ "ㄑㄧ1"
+ ],
+ "慾": [
+ "ㄩ4"
+ ],
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+ ],
+ "憀": [
+ "ㄌㄧㄠ2"
+ ],
+ "憁": [
+ "ㄘㄨㄥ4",
+ "ㄙㄨㄥ1"
+ ],
+ "憂": [
+ "ㄧㄡ1"
+ ],
+ "憃": [
+ "ㄔㄨㄥ1"
+ ],
+ "憄": [
+ "ㄓ4"
+ ],
+ "憅": [
+ "ㄊㄨㄥ4"
+ ],
+ "憆": [
+ "ㄔㄥ1"
+ ],
+ "憇": [
+ "ㄑㄧ4"
+ ],
+ "憈": [
+ "ㄑㄩ1"
+ ],
+ "憉": [
+ "ㄆㄥ2"
+ ],
+ "憊": [
+ "ㄅㄟ4"
+ ],
+ "憋": [
+ "ㄅㄧㄝ1"
+ ],
+ "憌": [
+ "ㄑㄩㄥ2"
+ ],
+ "憍": [
+ "ㄐㄧㄠ1"
+ ],
+ "憎": [
+ "ㄗㄥ1"
+ ],
+ "憏": [
+ "ㄔ4"
+ ],
+ "憐": [
+ "ㄌㄧㄢ2"
+ ],
+ "憑": [
+ "ㄆㄧㄥ2"
+ ],
+ "憒": [
+ "ㄎㄨㄟ4"
+ ],
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+ "ㄏㄨㄟ4"
+ ],
+ "憔": [
+ "ㄑㄧㄠ2"
+ ],
+ "憕": [
+ "ㄔㄥ2",
+ "ㄓㄥ4",
+ "ㄉㄥ4"
+ ],
+ "憖": [
+ "ㄧㄣ4",
+ "ㄒㄧㄣ4",
+ "ㄧㄣ2"
+ ],
+ "憗": [
+ "ㄧㄣ4"
+ ],
+ "憘": [
+ "ㄒㄧ3",
+ "ㄒㄧ1"
+ ],
+ "憙": [
+ "ㄒㄧ1",
+ "ㄒㄧ3"
+ ],
+ "憚": [
+ "ㄉㄢ4",
+ "ㄉㄚ2",
+ "ㄔㄢ3"
+ ],
+ "憛": [
+ "ㄊㄢ2"
+ ],
+ "憜": [
+ "ㄉㄨㄛ4"
+ ],
+ "憝": [
+ "ㄉㄨㄟ4"
+ ],
+ "憞": [
+ "ㄉㄨㄟ4",
+ "ㄉㄨㄣ4",
+ "ㄊㄨㄣ1"
+ ],
+ "憟": [
+ "ㄙㄨ4"
+ ],
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+ ],
+ "憡": [
+ "ㄘㄜ4"
+ ],
+ "憢": [
+ "ㄒㄧㄠ1",
+ "ㄐㄧㄠ1"
+ ],
+ "憣": [
+ "ㄈㄢ1"
+ ],
+ "憤": [
+ "ㄈㄣ4"
+ ],
+ "憥": [
+ "ㄌㄠ2"
+ ],
+ "憦": [
+ "ㄌㄠ4",
+ "ㄌㄠ2"
+ ],
+ "憧": [
+ "ㄔㄨㄥ1",
+ "ㄓㄨㄤ4"
+ ],
+ "憨": [
+ "ㄏㄢ1"
+ ],
+ "憩": [
+ "ㄑㄧ4"
+ ],
+ "憪": [
+ "ㄒㄧㄢ2",
+ "ㄒㄧㄢ4"
+ ],
+ "憫": [
+ "ㄇㄧㄣ3"
+ ],
+ "憬": [
+ "ㄐㄧㄥ3"
+ ],
+ "憭": [
+ "ㄌㄧㄠ3",
+ "ㄌㄧㄠ2"
+ ],
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+ "ㄨ3",
+ "ㄨ2"
+ ],
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+ "ㄘㄢ3"
+ ],
+ "憰": [
+ "ㄐㄩㄝ2"
+ ],
+ "憱": [
+ "ㄘㄨ4"
+ ],
+ "憲": [
+ "ㄒㄧㄢ4",
+ "ㄒㄧㄢ3"
+ ],
+ "憳": [
+ "ㄊㄢ3"
+ ],
+ "憴": [
+ "ㄕㄥ2"
+ ],
+ "憵": [
+ "ㄆㄧ1"
+ ],
+ "憶": [
+ "ㄧ4"
+ ],
+ "憷": [
+ "ㄔㄨ4",
+ "ㄔㄨ3"
+ ],
+ "憸": [
+ "ㄒㄧㄢ1"
+ ],
+ "憹": [
+ "ㄋㄠ2",
+ "ㄋㄨㄥ2",
+ "ㄋㄤ2",
+ "ㄋㄠ3"
+ ],
+ "憺": [
+ "ㄉㄢ4"
+ ],
+ "憻": [
+ "ㄊㄢ3"
+ ],
+ "憼": [
+ "ㄐㄧㄥ3",
+ "ㄐㄧㄥ4"
+ ],
+ "憽": [
+ "ㄙㄨㄥ1"
+ ],
+ "憾": [
+ "ㄏㄢ4",
+ "ㄉㄢ4"
+ ],
+ "憿": [
+ "ㄐㄧㄠ3",
+ "ㄐㄧ1"
+ ],
+ "懀": [
+ "ㄨㄟ4"
+ ],
+ "懁": [
+ "ㄒㄩㄢ1",
+ "ㄏㄨㄢ1"
+ ],
+ "懂": [
+ "ㄉㄨㄥ3"
+ ],
+ "懃": [
+ "ㄑㄧㄣ2"
+ ],
+ "懄": [
+ "ㄑㄧㄣ2"
+ ],
+ "懅": [
+ "ㄐㄩ4"
+ ],
+ "懆": [
+ "ㄘㄠ3",
+ "ㄙㄠ1",
+ "ㄙㄠ4"
+ ],
+ "懇": [
+ "ㄎㄣ3"
+ ],
+ "懈": [
+ "ㄒㄧㄝ4"
+ ],
+ "應": [
+ "ㄧㄥ1",
+ "ㄧㄥ4"
+ ],
+ "懊": [
+ "ㄠ4",
+ "ㄩ4"
+ ],
+ "懋": [
+ "ㄇㄠ4"
+ ],
+ "懌": [
+ "ㄧ4"
+ ],
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+ "ㄌㄧㄣ3"
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+ ],
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+ "ㄇㄣ4"
+ ],
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+ "ㄌㄢ3"
+ ],
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+ "ㄞ4"
+ ],
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+ "ㄌㄧㄣ3",
+ "ㄌㄢ3"
+ ],
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+ "ㄧㄢ1",
+ "ㄧㄢ4",
+ "ㄧㄝ4"
+ ],
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+ "ㄎㄨㄛ4"
+ ],
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+ "ㄒㄧㄚ4"
+ ],
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+ "ㄔ4"
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+ "ㄩ3"
+ ],
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+ "ㄧㄣ4"
+ ],
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+ "ㄉㄞ1"
+ ],
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+ "ㄇㄥ3",
+ "ㄇㄥ4",
+ "ㄇㄥ2"
+ ],
+ "懝": [
+ "ㄞ4",
+ "ㄋㄧ4",
+ "ㄋㄧ3"
+ ],
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+ "ㄇㄥ2",
+ "ㄇㄥ3"
+ ],
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+ "ㄉㄨㄟ4"
+ ],
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+ "ㄑㄧ2",
+ "ㄐㄧ4",
+ "ㄐㄧ1"
+ ],
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+ "ㄇㄛ3"
+ ],
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+ "ㄌㄢ2",
+ "ㄒㄧㄢ4"
+ ],
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+ "ㄇㄣ4"
+ ],
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+ "ㄔㄡ2"
+ ],
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+ "ㄓ4"
+ ],
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+ "ㄋㄨㄛ4"
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+ "ㄋㄨㄛ4"
+ ],
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+ "ㄧㄢ1"
+ ],
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+ "ㄧㄤ3"
+ ],
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+ "ㄅㄛ2"
+ ],
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+ "ㄓ4"
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+ ],
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+ "ㄧㄡ3",
+ "ㄧㄡ1"
+ ],
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+ "ㄈㄨ1"
+ ],
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+ "ㄌㄧㄡ2",
+ "ㄌㄧㄡ3"
+ ],
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+ "ㄇㄧㄝ4"
+ ],
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+ "ㄔㄥ2"
+ ],
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+ "ㄏㄨㄟ5"
+ ],
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+ "ㄔㄢ4"
+ ],
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+ "ㄇㄥ3",
+ "ㄇㄥ4"
+ ],
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+ "ㄌㄢ3",
+ "ㄌㄞ4"
+ ],
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+ ],
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+ "ㄒㄩㄢ2"
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+ ],
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+ ],
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+ "ㄐㄧ4"
+ ],
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+ "ㄐㄩ4"
+ ],
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+ "ㄏㄨㄢ1",
+ "ㄍㄨㄢ4"
+ ],
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+ "ㄕㄜ4"
+ ],
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+ "ㄧ4",
+ "ㄧ1"
+ ],
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+ "ㄌㄧㄢ4"
+ ],
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+ "ㄋㄢ3"
+ ],
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+ "ㄇㄧ2",
+ "ㄇㄛ2"
+ ],
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+ "ㄊㄤ3"
+ ],
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+ "ㄐㄩㄝ2"
+ ],
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+ "ㄍㄤ4"
+ ],
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+ "ㄍㄤ4",
+ "ㄓㄨㄤ4"
+ ],
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+ "ㄓㄨㄤ4",
+ "ㄍㄤ4"
+ ],
+ "戈": [
+ "ㄍㄜ1"
+ ],
+ "戉": [
+ "ㄩㄝ4"
+ ],
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+ "ㄨ4"
+ ],
+ "戋": [
+ "ㄐㄧㄢ1"
+ ],
+ "戌": [
+ "ㄒㄩ1",
+ "ㄑㄩ5"
+ ],
+ "戍": [
+ "ㄕㄨ4"
+ ],
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+ "ㄖㄨㄥ2",
+ "ㄖㄥ1"
+ ],
+ "戏": [
+ "ㄒㄧ4",
+ "ㄏㄨ1"
+ ],
+ "成": [
+ "ㄔㄥ2"
+ ],
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+ "ㄨㄛ3"
+ ],
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+ "ㄐㄧㄝ4"
+ ],
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+ "ㄍㄜ1"
+ ],
+ "戔": [
+ "ㄐㄧㄢ1",
+ "ㄘㄢ2"
+ ],
+ "戕": [
+ "ㄑㄧㄤ1",
+ "ㄗㄤ1"
+ ],
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+ "ㄏㄨㄛ4",
+ "ㄩ4"
+ ],
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+ "ㄑㄧㄤ1",
+ "ㄑㄧㄤ4"
+ ],
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+ "ㄓㄢ4"
+ ],
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+ "ㄉㄨㄥ4"
+ ],
+ "戚": [
+ "ㄑㄧ1",
+ "ㄘㄨ4"
+ ],
+ "戛": [
+ "ㄐㄧㄚ2",
+ "ㄍㄚ1"
+ ],
+ "戜": [
+ "ㄉㄧㄝ2"
+ ],
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+ "ㄗㄟ2"
+ ],
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+ ],
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+ "ㄐㄧ3"
+ ],
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+ "ㄓ1",
+ "ㄓ2"
+ ],
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+ "ㄎㄢ1",
+ "ㄓㄣ3"
+ ],
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+ "ㄐㄧ2"
+ ],
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+ "ㄎㄨㄟ2"
+ ],
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+ "ㄍㄞ4"
+ ],
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+ "ㄉㄥ3"
+ ],
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+ "ㄓㄢ4"
+ ],
+ "戧": [
+ "ㄑㄧㄤ1",
+ "ㄔㄨㄤ1",
+ "ㄑㄧㄤ4"
+ ],
+ "戨": [
+ "ㄍㄜ1"
+ ],
+ "戩": [
+ "ㄐㄧㄢ3"
+ ],
+ "截": [
+ "ㄐㄧㄝ2"
+ ],
+ "戫": [
+ "ㄩ4"
+ ],
+ "戬": [
+ "ㄐㄧㄢ3"
+ ],
+ "戭": [
+ "ㄧㄢ3",
+ "ㄧㄡ3"
+ ],
+ "戮": [
+ "ㄌㄨ4"
+ ],
+ "戯": [
+ "ㄏㄨ1",
+ "ㄒㄧ4"
+ ],
+ "戰": [
+ "ㄓㄢ4"
+ ],
+ "戱": [
+ "ㄒㄧ4"
+ ],
+ "戲": [
+ "ㄒㄧ4",
+ "ㄏㄨ1",
+ "ㄒㄧ1",
+ "ㄏㄨㄟ1",
+ "ㄙㄨㄛ1",
+ "ㄧ1"
+ ],
+ "戳": [
+ "ㄔㄨㄛ1"
+ ],
+ "戴": [
+ "ㄉㄞ4"
+ ],
+ "戵": [
+ "ㄑㄩ2"
+ ],
+ "戶": [
+ "ㄏㄨ4"
+ ],
+ "户": [
+ "ㄏㄨ4"
+ ],
+ "戸": [
+ "ㄏㄨ4"
+ ],
+ "戹": [
+ "ㄜ4"
+ ],
+ "戺": [
+ "ㄕ4",
+ "ㄧ2"
+ ],
+ "戻": [
+ "ㄊㄧ4"
+ ],
+ "戼": [
+ "ㄇㄠ3"
+ ],
+ "戽": [
+ "ㄏㄨ4"
+ ],
+ "戾": [
+ "ㄌㄧ4"
+ ],
+ "房": [
+ "ㄈㄤ2",
+ "ㄆㄤ2"
+ ],
+ "所": [
+ "ㄙㄨㄛ3"
+ ],
+ "扁": [
+ "ㄅㄧㄢ3",
+ "ㄆㄧㄢ1",
+ "ㄅㄧㄢ1",
+ "ㄆㄧㄢ2"
+ ],
+ "扂": [
+ "ㄉㄧㄢ4"
+ ],
+ "扃": [
+ "ㄐㄩㄥ1",
+ "ㄐㄩㄥ3"
+ ],
+ "扄": [
+ "ㄕㄤ3",
+ "ㄐㄩㄥ1"
+ ],
+ "扅": [
+ "ㄧ2"
+ ],
+ "扆": [
+ "ㄧ3"
+ ],
+ "扇": [
+ "ㄕㄢ4",
+ "ㄕㄢ1"
+ ],
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+ "ㄏㄨ4"
+ ],
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+ "ㄈㄟ1"
+ ],
+ "扊": [
+ "ㄧㄢ3"
+ ],
+ "手": [
+ "ㄕㄡ3"
+ ],
+ "扌": [
+ "ㄕㄡ5"
+ ],
+ "才": [
+ "ㄘㄞ2",
+ "ㄗㄞ1"
+ ],
+ "扎": [
+ "ㄓㄚ1",
+ "ㄗㄚ1",
+ "ㄓㄚ2",
+ "ㄓㄚ3"
+ ],
+ "扏": [
+ "ㄑㄧㄡ2"
+ ],
+ "扐": [
+ "ㄌㄜ4",
+ "ㄌㄧ4",
+ "ㄘㄞ2"
+ ],
+ "扑": [
+ "ㄆㄨ1",
+ "ㄆㄧ4"
+ ],
+ "扒": [
+ "ㄅㄚ1",
+ "ㄆㄚ2",
+ "ㄅㄞ4",
+ "ㄅㄧㄝ2"
+ ],
+ "打": [
+ "ㄉㄚ3",
+ "ㄉㄚ2"
+ ],
+ "扔": [
+ "ㄖㄥ1",
+ "ㄖㄥ4"
+ ],
+ "払": [
+ "ㄈㄢ3"
+ ],
+ "扖": [
+ "ㄖㄨ4"
+ ],
+ "扗": [
+ "ㄗㄞ4"
+ ],
+ "托": [
+ "ㄊㄨㄛ1"
+ ],
+ "扙": [
+ "ㄓㄤ4"
+ ],
+ "扚": [
+ "ㄉㄧㄠ3",
+ "ㄉㄧ2",
+ "ㄩㄝ1",
+ "ㄌㄧ4"
+ ],
+ "扛": [
+ "ㄎㄤ2",
+ "ㄍㄤ1"
+ ],
+ "扜": [
+ "ㄩ1",
+ "ㄨ1"
+ ],
+ "扝": [
+ "ㄎㄨ1",
+ "ㄨ1"
+ ],
+ "扞": [
+ "ㄍㄢ3",
+ "ㄏㄢ4"
+ ],
+ "扟": [
+ "ㄕㄣ1"
+ ],
+ "扠": [
+ "ㄔㄚ1",
+ "ㄔㄞ1",
+ "ㄓㄚ3"
+ ],
+ "扡": [
+ "ㄊㄨㄛ1",
+ "ㄧ3",
+ "ㄔ3"
+ ],
+ "扢": [
+ "ㄍㄨ3",
+ "ㄑㄧ4",
+ "ㄐㄧㄝ2",
+ "ㄍㄜ1"
+ ],
+ "扣": [
+ "ㄎㄡ4"
+ ],
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+ "ㄨ4"
+ ],
+ "扥": [
+ "ㄉㄣ4"
+ ],
+ "扦": [
+ "ㄑㄧㄢ1"
+ ],
+ "执": [
+ "ㄓ2"
+ ],
+ "扨": [
+ "ㄖㄣ4"
+ ],
+ "扩": [
+ "ㄎㄨㄛ4"
+ ],
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+ "ㄇㄣ2"
+ ],
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+ "ㄙㄠ3",
+ "ㄙㄠ4"
+ ],
+ "扬": [
+ "ㄧㄤ2"
+ ],
+ "扭": [
+ "ㄋㄧㄡ3",
+ "ㄔㄡ3",
+ "ㄓㄡ3",
+ "ㄓㄡ4"
+ ],
+ "扮": [
+ "ㄅㄢ4",
+ "ㄈㄣ3",
+ "ㄈㄣ1",
+ "ㄏㄨㄛ3"
+ ],
+ "扯": [
+ "ㄔㄜ3"
+ ],
+ "扰": [
+ "ㄖㄠ3",
+ "ㄧㄡ4"
+ ],
+ "扱": [
+ "ㄒㄧ1",
+ "ㄔㄚ1",
+ "ㄑㄧ4"
+ ],
+ "扲": [
+ "ㄑㄧㄢ2",
+ "ㄑㄧㄣ2"
+ ],
+ "扳": [
+ "ㄅㄢ1",
+ "ㄆㄢ1"
+ ],
+ "扴": [
+ "ㄐㄧㄚ2"
+ ],
+ "扵": [
+ "ㄩ2"
+ ],
+ "扶": [
+ "ㄈㄨ2",
+ "ㄆㄨ2"
+ ],
+ "扷": [
+ "ㄠ4"
+ ],
+ "扸": [
+ "ㄒㄧ1",
+ "ㄓㄜ2"
+ ],
+ "批": [
+ "ㄆㄧ1",
+ "ㄆㄧ2"
+ ],
+ "扺": [
+ "ㄓ3",
+ "ㄑㄧ2"
+ ],
+ "扻": [
+ "ㄓ4",
+ "ㄙㄨㄣ3",
+ "ㄎㄢ3"
+ ],
+ "扼": [
+ "ㄜ4"
+ ],
+ "扽": [
+ "ㄉㄣ4"
+ ],
+ "找": [
+ "ㄓㄠ3",
+ "ㄏㄨㄚ2"
+ ],
+ "承": [
+ "ㄔㄥ2",
+ "ㄓㄥ3",
+ "ㄓㄥ4"
+ ],
+ "技": [
+ "ㄐㄧ4",
+ "ㄑㄧ2"
+ ],
+ "抁": [
+ "ㄧㄢ3"
+ ],
+ "抂": [
+ "ㄎㄨㄤ2",
+ "ㄨㄤ3"
+ ],
+ "抃": [
+ "ㄅㄧㄢ4"
+ ],
+ "抄": [
+ "ㄔㄠ1",
+ "ㄙㄨㄛ1",
+ "ㄔㄠ4",
+ "ㄔㄠ3"
+ ],
+ "抅": [
+ "ㄐㄩ1"
+ ],
+ "抆": [
+ "ㄨㄣ3"
+ ],
+ "抇": [
+ "ㄏㄨ2"
+ ],
+ "抈": [
+ "ㄩㄝ4"
+ ],
+ "抉": [
+ "ㄐㄩㄝ2"
+ ],
+ "把": [
+ "ㄅㄚ3",
+ "ㄅㄚ4",
+ "ㄆㄚ2"
+ ],
+ "抋": [
+ "ㄑㄧㄣ4"
+ ],
+ "抌": [
+ "ㄉㄢ3",
+ "ㄕㄣ3"
+ ],
+ "抍": [
+ "ㄓㄥ3"
+ ],
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+ "ㄩㄣ3"
+ ],
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+ "ㄨㄢ2"
+ ],
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+ "ㄋㄜ4",
+ "ㄋㄧ4",
+ "ㄋㄚ4",
+ "ㄖㄨㄟ4"
+ ],
+ "抑": [
+ "ㄧ4"
+ ],
+ "抒": [
+ "ㄕㄨ1"
+ ],
+ "抓": [
+ "ㄓㄨㄚ1"
+ ],
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+ "ㄆㄡ2"
+ ],
+ "投": [
+ "ㄊㄡ2",
+ "ㄉㄡ4"
+ ],
+ "抖": [
+ "ㄉㄡ3"
+ ],
+ "抗": [
+ "ㄎㄤ4",
+ "ㄍㄤ1"
+ ],
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+ "ㄓㄜ2",
+ "ㄕㄜ2",
+ "ㄓㄜ1",
+ "ㄊㄧ2"
+ ],
+ "抙": [
+ "ㄆㄡ2"
+ ],
+ "抚": [
+ "ㄈㄨ3"
+ ],
+ "抛": [
+ "ㄆㄠ1"
+ ],
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+ "ㄅㄚ2"
+ ],
+ "抝": [
+ "ㄠ3",
+ "ㄠ4",
+ "ㄋㄧㄡ4"
+ ],
+ "択": [
+ "ㄗㄜ2"
+ ],
+ "抟": [
+ "ㄊㄨㄢ2"
+ ],
+ "抠": [
+ "ㄎㄡ1"
+ ],
+ "抡": [
+ "ㄌㄨㄣ1",
+ "ㄌㄨㄣ2"
+ ],
+ "抢": [
+ "ㄑㄧㄤ3",
+ "ㄑㄧㄤ1"
+ ],
+ "抣": [
+ "ㄩㄣ5"
+ ],
+ "护": [
+ "ㄏㄨ4"
+ ],
+ "报": [
+ "ㄅㄠ4"
+ ],
+ "抦": [
+ "ㄅㄧㄥ3"
+ ],
+ "抧": [
+ "ㄓ3",
+ "ㄓㄞ3"
+ ],
+ "抨": [
+ "ㄆㄥ1",
+ "ㄅㄥ1"
+ ],
+ "抩": [
+ "ㄋㄢ2"
+ ],
+ "抪": [
+ "ㄅㄨ4",
+ "ㄆㄨ1",
+ "ㄅㄚ2"
+ ],
+ "披": [
+ "ㄆㄧ1"
+ ],
+ "抬": [
+ "ㄊㄞ2",
+ "ㄔ1"
+ ],
+ "抭": [
+ "ㄧㄠ3",
+ "ㄊㄠ1"
+ ],
+ "抮": [
+ "ㄓㄣ3"
+ ],
+ "抯": [
+ "ㄓㄚ1"
+ ],
+ "抰": [
+ "ㄧㄤ1"
+ ],
+ "抱": [
+ "ㄅㄠ4",
+ "ㄆㄠ1",
+ "ㄆㄡ3"
+ ],
+ "抲": [
+ "ㄏㄜ1",
+ "ㄏㄜ4",
+ "ㄑㄧㄚ1"
+ ],
+ "抳": [
+ "ㄋㄧ3",
+ "ㄋㄧ2"
+ ],
+ "抴": [
+ "ㄧㄝ4",
+ "ㄕㄜ2"
+ ],
+ "抵": [
+ "ㄉㄧ3",
+ "ㄓ3",
+ "ㄑㄧ2"
+ ],
+ "抶": [
+ "ㄔ4"
+ ],
+ "抷": [
+ "ㄆㄧ1",
+ "ㄆㄟ1"
+ ],
+ "抸": [
+ "ㄐㄧㄚ1"
+ ],
+ "抹": [
+ "ㄇㄛ3",
+ "ㄇㄚ1",
+ "ㄇㄛ4"
+ ],
+ "抺": [
+ "ㄇㄟ4"
+ ],
+ "抻": [
+ "ㄔㄣ1",
+ "ㄕㄣ1"
+ ],
+ "押": [
+ "ㄧㄚ1",
+ "ㄒㄧㄚ2",
+ "ㄐㄧㄚ3"
+ ],
+ "抽": [
+ "ㄔㄡ1"
+ ],
+ "抾": [
+ "ㄑㄩ1"
+ ],
+ "抿": [
+ "ㄇㄧㄣ3"
+ ],
+ "拀": [
+ "ㄔㄨ4"
+ ],
+ "拁": [
+ "ㄐㄧㄚ1",
+ "ㄧㄚ2"
+ ],
+ "拂": [
+ "ㄈㄨ2",
+ "ㄅㄧ4",
+ "ㄆㄧ4",
+ "ㄈㄟ4"
+ ],
+ "拃": [
+ "ㄓㄚ3",
+ "ㄓㄢ3",
+ "ㄓㄚ4",
+ "ㄓㄚ2"
+ ],
+ "拄": [
+ "ㄓㄨ3"
+ ],
+ "担": [
+ "ㄉㄢ1",
+ "ㄉㄢ4",
+ "ㄉㄢ3",
+ "ㄐㄧㄝ1"
+ ],
+ "拆": [
+ "ㄔㄞ1",
+ "ㄔㄜ4",
+ "ㄔ4",
+ "ㄘㄚ1"
+ ],
+ "拇": [
+ "ㄇㄨ3"
+ ],
+ "拈": [
+ "ㄋㄧㄢ1",
+ "ㄋㄧㄢ3",
+ "ㄉㄧㄢ1"
+ ],
+ "拉": [
+ "ㄌㄚ1",
+ "ㄌㄚ2",
+ "ㄌㄚ3",
+ "ㄌㄚ4",
+ "ㄌㄚ5"
+ ],
+ "拊": [
+ "ㄈㄨ3",
+ "ㄈㄨ1",
+ "ㄅㄨ3"
+ ],
+ "拋": [
+ "ㄆㄠ1"
+ ],
+ "拌": [
+ "ㄅㄢ4",
+ "ㄆㄢ1"
+ ],
+ "拍": [
+ "ㄆㄞ1",
+ "ㄅㄛ2"
+ ],
+ "拎": [
+ "ㄌㄧㄣ1",
+ "ㄌㄧㄥ1"
+ ],
+ "拏": [
+ "ㄋㄚ2"
+ ],
+ "拐": [
+ "ㄍㄨㄞ3"
+ ],
+ "拑": [
+ "ㄑㄧㄢ2"
+ ],
+ "拒": [
+ "ㄐㄩ4",
+ "ㄐㄩ3"
+ ],
+ "拓": [
+ "ㄊㄨㄛ4",
+ "ㄊㄚ4",
+ "ㄓ2"
+ ],
+ "拔": [
+ "ㄅㄚ2",
+ "ㄅㄛ1",
+ "ㄅㄧㄝ2",
+ "ㄈㄚ2",
+ "ㄅㄟ4"
+ ],
+ "拕": [
+ "ㄊㄨㄛ1"
+ ],
+ "拖": [
+ "ㄊㄨㄛ1",
+ "ㄔ3"
+ ],
+ "拗": [
+ "ㄠ3",
+ "ㄠ4",
+ "ㄋㄧㄡ4",
+ "ㄩ4"
+ ],
+ "拘": [
+ "ㄐㄩ1",
+ "ㄍㄡ1",
+ "ㄐㄩ3",
+ "ㄐㄩ2"
+ ],
+ "拙": [
+ "ㄓㄨㄛ1"
+ ],
+ "拚": [
+ "ㄆㄢ4",
+ "ㄅㄧㄢ4",
+ "ㄈㄣ4",
+ "ㄈㄢ1",
+ "ㄆㄧㄣ1"
+ ],
+ "招": [
+ "ㄓㄠ1",
+ "ㄑㄧㄠ2",
+ "ㄕㄠ2"
+ ],
+ "拜": [
+ "ㄅㄞ4",
+ "ㄅㄞ2"
+ ],
+ "拝": [
+ "ㄅㄞ4"
+ ],
+ "拞": [
+ "ㄉㄧ3"
+ ],
+ "拟": [
+ "ㄋㄧ3"
+ ],
+ "拠": [
+ "ㄐㄩ4"
+ ],
+ "拡": [
+ "ㄎㄨㄛ4"
+ ],
+ "拢": [
+ "ㄌㄨㄥ3"
+ ],
+ "拣": [
+ "ㄐㄧㄢ3"
+ ],
+ "拤": [
+ "ㄑㄧㄚ2"
+ ],
+ "拥": [
+ "ㄩㄥ1"
+ ],
+ "拦": [
+ "ㄌㄢ2"
+ ],
+ "拧": [
+ "ㄋㄧㄥ2",
+ "ㄋㄧㄥ3",
+ "ㄋㄧㄥ4"
+ ],
+ "拨": [
+ "ㄅㄛ1"
+ ],
+ "择": [
+ "ㄗㄜ2",
+ "ㄓㄞ2"
+ ],
+ "拪": [
+ "ㄑㄧㄢ1"
+ ],
+ "拫": [
+ "ㄏㄣ2"
+ ],
+ "括": [
+ "ㄎㄨㄛ4",
+ "ㄍㄨㄚ1"
+ ],
+ "拭": [
+ "ㄕ4"
+ ],
+ "拮": [
+ "ㄐㄧㄝ2",
+ "ㄐㄧㄚ2"
+ ],
+ "拯": [
+ "ㄓㄥ3"
+ ],
+ "拰": [
+ "ㄋㄧㄣ3"
+ ],
+ "拱": [
+ "ㄍㄨㄥ3",
+ "ㄐㄩ2"
+ ],
+ "拲": [
+ "ㄍㄨㄥ3"
+ ],
+ "拳": [
+ "ㄑㄩㄢ2"
+ ],
+ "拴": [
+ "ㄕㄨㄢ1",
+ "ㄑㄩㄢ2"
+ ],
+ "拵": [
+ "ㄘㄨㄣ2",
+ "ㄗㄨㄣ4"
+ ],
+ "拶": [
+ "ㄗㄚ1",
+ "ㄗㄢ3"
+ ],
+ "拷": [
+ "ㄎㄠ3"
+ ],
+ "拸": [
+ "ㄧ2",
+ "ㄔ3",
+ "ㄏㄞ4"
+ ],
+ "拹": [
+ "ㄒㄧㄝ2"
+ ],
+ "拺": [
+ "ㄘㄜ4",
+ "ㄙㄜ4",
+ "ㄔㄨㄛ4"
+ ],
+ "拻": [
+ "ㄏㄨㄟ1"
+ ],
+ "拼": [
+ "ㄆㄧㄣ1",
+ "ㄅㄧㄥ4"
+ ],
+ "拽": [
+ "ㄓㄨㄞ1",
+ "ㄓㄨㄞ4",
+ "ㄧㄝ4"
+ ],
+ "拾": [
+ "ㄕ2",
+ "ㄕㄜ4",
+ "ㄐㄧㄝ4"
+ ],
+ "拿": [
+ "ㄋㄚ2"
+ ],
+ "挀": [
+ "ㄅㄞ1"
+ ],
+ "持": [
+ "ㄔ2"
+ ],
+ "挂": [
+ "ㄍㄨㄚ4"
+ ],
+ "挃": [
+ "ㄓ4",
+ "ㄉㄧㄝ2"
+ ],
+ "挄": [
+ "ㄎㄨㄛ4",
+ "ㄍㄨㄤ1"
+ ],
+ "挅": [
+ "ㄉㄨㄛ3",
+ "ㄉㄨㄛ4"
+ ],
+ "挆": [
+ "ㄉㄨㄛ3"
+ ],
+ "指": [
+ "ㄓ3",
+ "ㄓ1",
+ "ㄓ2"
+ ],
+ "挈": [
+ "ㄑㄧㄝ4",
+ "ㄑㄧ4",
+ "ㄐㄧㄚ2",
+ "ㄑㄧㄚ4",
+ "ㄕ4"
+ ],
+ "按": [
+ "ㄢ4"
+ ],
+ "挊": [
+ "ㄋㄨㄥ4"
+ ],
+ "挋": [
+ "ㄓㄣ4"
+ ],
+ "挌": [
+ "ㄍㄜ2",
+ "ㄏㄜ2"
+ ],
+ "挍": [
+ "ㄐㄧㄠ4",
+ "ㄐㄧㄠ1"
+ ],
+ "挎": [
+ "ㄎㄨㄚ4",
+ "ㄎㄨ1",
+ "ㄎㄡ1"
+ ],
+ "挏": [
+ "ㄉㄨㄥ4"
+ ],
+ "挐": [
+ "ㄋㄚ2",
+ "ㄖㄨ2",
+ "ㄋㄨ2"
+ ],
+ "挑": [
+ "ㄊㄧㄠ1",
+ "ㄊㄧㄠ3",
+ "ㄊㄠ2",
+ "ㄉㄧㄠ4",
+ "ㄊㄧㄠ2",
+ "ㄊㄧㄠ5"
+ ],
+ "挒": [
+ "ㄌㄧㄝ4"
+ ],
+ "挓": [
+ "ㄓㄚ1"
+ ],
+ "挔": [
+ "ㄌㄩ3"
+ ],
+ "挕": [
+ "ㄉㄧㄝ2",
+ "ㄕㄜ4"
+ ],
+ "挖": [
+ "ㄨㄚ1"
+ ],
+ "挗": [
+ "ㄐㄩㄝ2"
+ ],
+ "挘": [
+ "ㄌㄧㄝ3"
+ ],
+ "挙": [
+ "ㄐㄩ3"
+ ],
+ "挚": [
+ "ㄓ4"
+ ],
+ "挛": [
+ "ㄌㄨㄢ2"
+ ],
+ "挜": [
+ "ㄧㄚ4"
+ ],
+ "挝": [
+ "ㄨㄛ1",
+ "ㄓㄨㄚ1"
+ ],
+ "挞": [
+ "ㄊㄚ4"
+ ],
+ "挟": [
+ "ㄒㄧㄝ2",
+ "ㄐㄧㄚ1"
+ ],
+ "挠": [
+ "ㄋㄠ2"
+ ],
+ "挡": [
+ "ㄉㄤ3",
+ "ㄉㄤ4"
+ ],
+ "挢": [
+ "ㄐㄧㄠ3"
+ ],
+ "挣": [
+ "ㄓㄥ1",
+ "ㄓㄥ4"
+ ],
+ "挤": [
+ "ㄐㄧ3"
+ ],
+ "挥": [
+ "ㄏㄨㄟ1"
+ ],
+ "挦": [
+ "ㄒㄧㄢ2"
+ ],
+ "挧": [
+ "ㄩ3"
+ ],
+ "挨": [
+ "ㄞ1",
+ "ㄞ2"
+ ],
+ "挩": [
+ "ㄊㄨㄛ1"
+ ],
+ "挪": [
+ "ㄋㄨㄛ2"
+ ],
+ "挫": [
+ "ㄘㄨㄛ4",
+ "ㄗㄨㄛ4"
+ ],
+ "挬": [
+ "ㄅㄛ2"
+ ],
+ "挭": [
+ "ㄍㄥ3"
+ ],
+ "挮": [
+ "ㄊㄧ3",
+ "ㄊㄧ4"
+ ],
+ "振": [
+ "ㄓㄣ4",
+ "ㄓㄣ1",
+ "ㄓㄣ3"
+ ],
+ "挰": [
+ "ㄔㄥ2"
+ ],
+ "挱": [
+ "ㄙㄚ1",
+ "ㄕㄚ1",
+ "ㄙㄨㄛ1"
+ ],
+ "挲": [
+ "ㄙㄚ1",
+ "ㄙㄨㄛ1",
+ "ㄕㄚ1"
+ ],
+ "挳": [
+ "ㄎㄥ1"
+ ],
+ "挴": [
+ "ㄇㄟ3"
+ ],
+ "挵": [
+ "ㄋㄨㄥ4"
+ ],
+ "挶": [
+ "ㄐㄩ1"
+ ],
+ "挷": [
+ "ㄆㄥ2"
+ ],
+ "挸": [
+ "ㄐㄧㄢ3"
+ ],
+ "挹": [
+ "ㄧ4"
+ ],
+ "挺": [
+ "ㄊㄧㄥ3",
+ "ㄊㄧㄥ2"
+ ],
+ "挻": [
+ "ㄕㄢ1",
+ "ㄧㄢ2"
+ ],
+ "挼": [
+ "ㄖㄨㄚ2",
+ "ㄖㄨㄛ2",
+ "ㄙㄨㄟ1",
+ "ㄌㄨㄛ4"
+ ],
+ "挽": [
+ "ㄨㄢ3"
+ ],
+ "挾": [
+ "ㄒㄧㄝ2",
+ "ㄐㄧㄚ1"
+ ],
+ "挿": [
+ "ㄔㄚ1"
+ ],
+ "捀": [
+ "ㄈㄥ2"
+ ],
+ "捁": [
+ "ㄐㄧㄠ3",
+ "ㄎㄨ4"
+ ],
+ "捂": [
+ "ㄨ3",
+ "ㄨ2"
+ ],
+ "捃": [
+ "ㄐㄩㄣ4"
+ ],
+ "捄": [
+ "ㄐㄧㄡ4",
+ "ㄐㄩ1",
+ "ㄑㄧㄡ2"
+ ],
+ "捅": [
+ "ㄊㄨㄥ3"
+ ],
+ "捆": [
+ "ㄎㄨㄣ3",
+ "ㄏㄨㄣ2"
+ ],
+ "捇": [
+ "ㄏㄨㄛ4",
+ "ㄔ4"
+ ],
+ "捈": [
+ "ㄊㄨ2",
+ "ㄕㄨ1",
+ "ㄔㄚ2"
+ ],
+ "捉": [
+ "ㄓㄨㄛ1"
+ ],
+ "捊": [
+ "ㄆㄡ2",
+ "ㄆㄡ1",
+ "ㄈㄨ1"
+ ],
+ "捋": [
+ "ㄌㄩ3",
+ "ㄌㄨㄛ1"
+ ],
+ "捌": [
+ "ㄅㄚ1",
+ "ㄅㄧㄝ2"
+ ],
+ "捍": [
+ "ㄏㄢ4",
+ "ㄒㄧㄢ4",
+ "ㄍㄢ3"
+ ],
+ "捎": [
+ "ㄕㄠ1",
+ "ㄕㄠ4",
+ "ㄕㄠ3",
+ "ㄒㄧㄠ1",
+ "ㄑㄧㄠ4"
+ ],
+ "捏": [
+ "ㄋㄧㄝ1"
+ ],
+ "捐": [
+ "ㄐㄩㄢ1",
+ "ㄩㄢ2"
+ ],
+ "捑": [
+ "ㄗㄜ4"
+ ],
+ "捒": [
+ "ㄕㄨ4",
+ "ㄙㄡ1",
+ "ㄙㄨㄥ3"
+ ],
+ "捓": [
+ "ㄧㄝ2",
+ "ㄩ2"
+ ],
+ "捔": [
+ "ㄐㄩㄝ2",
+ "ㄓㄨㄛ2"
+ ],
+ "捕": [
+ "ㄅㄨ3"
+ ],
+ "捖": [
+ "ㄨㄢ2",
+ "ㄍㄨㄚ1"
+ ],
+ "捗": [
+ "ㄅㄨ4",
+ "ㄆㄨ2",
+ "ㄓ4"
+ ],
+ "捘": [
+ "ㄗㄨㄣ4"
+ ],
+ "捙": [
+ "ㄧㄝ4"
+ ],
+ "捚": [
+ "ㄓㄞ1"
+ ],
+ "捛": [
+ "ㄌㄩ3"
+ ],
+ "捜": [
+ "ㄙㄡ1"
+ ],
+ "捝": [
+ "ㄊㄨㄛ1",
+ "ㄕㄨㄟ4",
+ "ㄧㄢ3"
+ ],
+ "捞": [
+ "ㄌㄠ1"
+ ],
+ "损": [
+ "ㄙㄨㄣ3"
+ ],
+ "捠": [
+ "ㄅㄤ1"
+ ],
+ "捡": [
+ "ㄐㄧㄢ3"
+ ],
+ "换": [
+ "ㄏㄨㄢ4"
+ ],
+ "捣": [
+ "ㄉㄠ3"
+ ],
+ "捤": [
+ "ㄨㄟ3"
+ ],
+ "捥": [
+ "ㄨㄢ4",
+ "ㄨㄢ1",
+ "ㄨㄢ3",
+ "ㄩ4"
+ ],
+ "捦": [
+ "ㄑㄧㄣ2"
+ ],
+ "捧": [
+ "ㄆㄥ3",
+ "ㄈㄥ4"
+ ],
+ "捨": [
+ "ㄕㄜ3"
+ ],
+ "捩": [
+ "ㄌㄧㄝ4",
+ "ㄌㄧ4"
+ ],
+ "捪": [
+ "ㄇㄧㄣ2"
+ ],
+ "捫": [
+ "ㄇㄣ2"
+ ],
+ "捬": [
+ "ㄈㄨ3",
+ "ㄈㄨ4",
+ "ㄅㄨ3"
+ ],
+ "捭": [
+ "ㄅㄞ3",
+ "ㄅㄚ1",
+ "ㄅㄧ3"
+ ],
+ "据": [
+ "ㄐㄩ4",
+ "ㄐㄩ1"
+ ],
+ "捯": [
+ "ㄉㄠ2",
+ "ㄉㄠ3"
+ ],
+ "捰": [
+ "ㄨㄛ3",
+ "ㄌㄨㄛ4",
+ "ㄌㄨㄛ3"
+ ],
+ "捱": [
+ "ㄞ2",
+ "ㄞ1"
+ ],
+ "捲": [
+ "ㄐㄩㄢ3",
+ "ㄑㄩㄢ2",
+ "ㄐㄩㄢ4"
+ ],
+ "捳": [
+ "ㄩㄝ4"
+ ],
+ "捴": [
+ "ㄗㄨㄥ3"
+ ],
+ "捵": [
+ "ㄔㄣ1",
+ "ㄊㄧㄢ3",
+ "ㄋㄧㄢ3"
+ ],
+ "捶": [
+ "ㄔㄨㄟ2",
+ "ㄉㄨㄛ3"
+ ],
+ "捷": [
+ "ㄐㄧㄝ2",
+ "ㄑㄧㄝ4",
+ "ㄔㄚ1"
+ ],
+ "捸": [
+ "ㄊㄨ1"
+ ],
+ "捹": [
+ "ㄅㄣ4"
+ ],
+ "捺": [
+ "ㄋㄚ4"
+ ],
+ "捻": [
+ "ㄋㄧㄢ3",
+ "ㄋㄧㄝ1",
+ "ㄋㄧㄢ1"
+ ],
+ "捼": [
+ "ㄖㄨㄛ2",
+ "ㄨㄛ1",
+ "ㄨㄟ3",
+ "ㄖㄜ2"
+ ],
+ "捽": [
+ "ㄗㄨㄛ2",
+ "ㄘㄨ4",
+ "ㄙㄨ1",
+ "ㄗㄨㄣ4"
+ ],
+ "捾": [
+ "ㄨㄛ4",
+ "ㄒㄧㄚ2"
+ ],
+ "捿": [
+ "ㄑㄧ1"
+ ],
+ "掀": [
+ "ㄒㄧㄢ1",
+ "ㄏㄣ2"
+ ],
+ "掁": [
+ "ㄔㄥ2"
+ ],
+ "掂": [
+ "ㄉㄧㄢ1"
+ ],
+ "掃": [
+ "ㄙㄠ3",
+ "ㄙㄠ4"
+ ],
+ "掄": [
+ "ㄌㄨㄣ1",
+ "ㄌㄨㄣ2"
+ ],
+ "掅": [
+ "ㄑㄧㄥ4"
+ ],
+ "掆": [
+ "ㄍㄤ1",
+ "ㄍㄤ4"
+ ],
+ "掇": [
+ "ㄉㄨㄛ1",
+ "ㄉㄨㄛ2",
+ "ㄓㄨㄛ1"
+ ],
+ "授": [
+ "ㄕㄡ4"
+ ],
+ "掉": [
+ "ㄉㄧㄠ4",
+ "ㄋㄨㄛ2"
+ ],
+ "掊": [
+ "ㄆㄡ2",
+ "ㄆㄡ3",
+ "ㄈㄨ4",
+ "ㄆㄟ2"
+ ],
+ "掋": [
+ "ㄉㄧ3",
+ "ㄉㄧ4"
+ ],
+ "掌": [
+ "ㄓㄤ3"
+ ],
+ "掍": [
+ "ㄏㄨㄣ4"
+ ],
+ "掎": [
+ "ㄐㄧ3",
+ "ㄧ3"
+ ],
+ "掏": [
+ "ㄊㄠ1",
+ "ㄊㄠ2"
+ ],
+ "掐": [
+ "ㄑㄧㄚ1"
+ ],
+ "掑": [
+ "ㄑㄧ2"
+ ],
+ "排": [
+ "ㄆㄞ2",
+ "ㄆㄞ3",
+ "ㄅㄞ4"
+ ],
+ "掓": [
+ "ㄕㄨ1"
+ ],
+ "掔": [
+ "ㄑㄧㄢ1",
+ "ㄨㄢ4"
+ ],
+ "掕": [
+ "ㄌㄧㄥ2"
+ ],
+ "掖": [
+ "ㄧㄝ1",
+ "ㄧㄝ4"
+ ],
+ "掗": [
+ "ㄧㄚ4",
+ "ㄧㄚ3"
+ ],
+ "掘": [
+ "ㄐㄩㄝ2",
+ "ㄎㄨ1"
+ ],
+ "掙": [
+ "ㄓㄥ1"
+ ],
+ "掚": [
+ "ㄌㄧㄤ3"
+ ],
+ "掛": [
+ "ㄍㄨㄚ4"
+ ],
+ "掜": [
+ "ㄧ4",
+ "ㄋㄧ3",
+ "ㄋㄞ2",
+ "ㄋㄧㄝ4"
+ ],
+ "掝": [
+ "ㄏㄨㄛ4",
+ "ㄒㄩ4"
+ ],
+ "掞": [
+ "ㄕㄢ4",
+ "ㄧㄢ4",
+ "ㄧㄢ3"
+ ],
+ "掟": [
+ "ㄓㄥ3",
+ "ㄉㄧㄥ4"
+ ],
+ "掠": [
+ "ㄌㄩㄝ4",
+ "ㄌㄩㄝ3"
+ ],
+ "採": [
+ "ㄘㄞ3"
+ ],
+ "探": [
+ "ㄊㄢ4",
+ "ㄒㄧㄢ2"
+ ],
+ "掣": [
+ "ㄔㄜ4"
+ ],
+ "掤": [
+ "ㄅㄧㄥ1"
+ ],
+ "接": [
+ "ㄐㄧㄝ1",
+ "ㄒㄧㄝ2",
+ "ㄕㄚ4",
+ "ㄔㄚ1"
+ ],
+ "掦": [
+ "ㄊㄧ4"
+ ],
+ "控": [
+ "ㄎㄨㄥ4",
+ "ㄎㄨㄥ1",
+ "ㄑㄧㄤ1"
+ ],
+ "推": [
+ "ㄊㄨㄟ1"
+ ],
+ "掩": [
+ "ㄧㄢ3",
+ "ㄧㄢ4"
+ ],
+ "措": [
+ "ㄘㄨㄛ4",
+ "ㄗㄜ2",
+ "ㄘ4"
+ ],
+ "掫": [
+ "ㄓㄡ1",
+ "ㄗㄡ1",
+ "ㄔㄡ1"
+ ],
+ "掬": [
+ "ㄐㄩ1"
+ ],
+ "掭": [
+ "ㄊㄧㄢ4"
+ ],
+ "掮": [
+ "ㄑㄧㄢ2"
+ ],
+ "掯": [
+ "ㄎㄣ4"
+ ],
+ "掰": [
+ "ㄅㄞ1"
+ ],
+ "掱": [
+ "ㄆㄚ2",
+ "ㄕㄡ3"
+ ],
+ "掲": [
+ "ㄐㄧㄝ1"
+ ],
+ "掳": [
+ "ㄌㄨ3"
+ ],
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+ "ㄏㄨㄤ3",
+ "ㄍㄨㄤ4",
+ "ㄍㄨㄛ3",
+ "ㄍㄨ3"
+ ],
+ "櫏": [
+ "ㄑㄧㄢ1"
+ ],
+ "櫐": [
+ "ㄌㄟ3"
+ ],
+ "櫑": [
+ "ㄌㄟ2",
+ "ㄌㄟ3"
+ ],
+ "櫒": [
+ "ㄙㄚ4"
+ ],
+ "櫓": [
+ "ㄌㄨ3"
+ ],
+ "櫔": [
+ "ㄌㄧ4"
+ ],
+ "櫕": [
+ "ㄘㄨㄢ2"
+ ],
+ "櫖": [
+ "ㄌㄩ4",
+ "ㄔㄨ1"
+ ],
+ "櫗": [
+ "ㄇㄧㄝ4",
+ "ㄇㄟ4"
+ ],
+ "櫘": [
+ "ㄏㄨㄟ4"
+ ],
+ "櫙": [
+ "ㄡ1"
+ ],
+ "櫚": [
+ "ㄌㄩ2"
+ ],
+ "櫛": [
+ "ㄓ4"
+ ],
+ "櫜": [
+ "ㄍㄠ1"
+ ],
+ "櫝": [
+ "ㄉㄨ2"
+ ],
+ "櫞": [
+ "ㄩㄢ2"
+ ],
+ "櫟": [
+ "ㄌㄧ4",
+ "ㄌㄨㄛ4",
+ "ㄩㄝ4"
+ ],
+ "櫠": [
+ "ㄈㄟ4"
+ ],
+ "櫡": [
+ "ㄓㄨㄛ2",
+ "ㄓㄨ4"
+ ],
+ "櫢": [
+ "ㄙㄡ3"
+ ],
+ "櫣": [
+ "ㄌㄧㄢ2"
+ ],
+ "櫤": [
+ "ㄐㄧㄤ4"
+ ],
+ "櫥": [
+ "ㄔㄨ2"
+ ],
+ "櫦": [
+ "ㄑㄧㄥ4"
+ ],
+ "櫧": [
+ "ㄓㄨ1"
+ ],
+ "櫨": [
+ "ㄌㄨ2",
+ "ㄌㄩ2"
+ ],
+ "櫩": [
+ "ㄧㄢ2",
+ "ㄧㄢ3"
+ ],
+ "櫪": [
+ "ㄌㄧ4"
+ ],
+ "櫫": [
+ "ㄓㄨ1"
+ ],
+ "櫬": [
+ "ㄔㄣ4",
+ "ㄑㄧㄣ4",
+ "ㄍㄨㄢ4"
+ ],
+ "櫭": [
+ "ㄐㄧㄝ2",
+ "ㄐㄧ4"
+ ],
+ "櫮": [
+ "ㄜ4"
+ ],
+ "櫯": [
+ "ㄙㄨ1"
+ ],
+ "櫰": [
+ "ㄏㄨㄞ2",
+ "ㄍㄨㄟ1"
+ ],
+ "櫱": [
+ "ㄋㄧㄝ4"
+ ],
+ "櫲": [
+ "ㄩ4"
+ ],
+ "櫳": [
+ "ㄌㄨㄥ2"
+ ],
+ "櫴": [
+ "ㄌㄞ4"
+ ],
+ "櫵": [
+ "ㄐㄧㄠ5"
+ ],
+ "櫶": [
+ "ㄒㄧㄢ3"
+ ],
+ "櫷": [
+ "ㄍㄨㄟ1"
+ ],
+ "櫸": [
+ "ㄐㄩ3"
+ ],
+ "櫹": [
+ "ㄒㄧㄠ1",
+ "ㄑㄧㄡ1",
+ "ㄒㄧㄡ1"
+ ],
+ "櫺": [
+ "ㄌㄧㄥ2"
+ ],
+ "櫻": [
+ "ㄧㄥ1"
+ ],
+ "櫼": [
+ "ㄐㄧㄢ1",
+ "ㄕㄢ1"
+ ],
+ "櫽": [
+ "ㄧㄣ3"
+ ],
+ "櫾": [
+ "ㄧㄡ2",
+ "ㄧㄡ4"
+ ],
+ "櫿": [
+ "ㄧㄥ2"
+ ],
+ "欀": [
+ "ㄒㄧㄤ1",
+ "ㄖㄤ4"
+ ],
+ "欁": [
+ "ㄋㄨㄥ2"
+ ],
+ "欂": [
+ "ㄅㄛ2"
+ ],
+ "欃": [
+ "ㄔㄢ2",
+ "ㄓㄢ4"
+ ],
+ "欄": [
+ "ㄌㄢ2",
+ "ㄌㄧㄢ4"
+ ],
+ "欅": [
+ "ㄐㄩ3"
+ ],
+ "欆": [
+ "ㄕㄨㄤ1"
+ ],
+ "欇": [
+ "ㄕㄜ4"
+ ],
+ "欈": [
+ "ㄨㄟ2",
+ "ㄗㄨㄟ4"
+ ],
+ "欉": [
+ "ㄘㄨㄥ2"
+ ],
+ "權": [
+ "ㄑㄩㄢ2",
+ "ㄍㄨㄢ4"
+ ],
+ "欋": [
+ "ㄑㄩ2"
+ ],
+ "欌": [
+ "ㄘㄤ2"
+ ],
+ "欍": [
+ "ㄐㄧㄡ4"
+ ],
+ "欎": [
+ "ㄩ4"
+ ],
+ "欏": [
+ "ㄌㄨㄛ2",
+ "ㄌㄨㄛ3"
+ ],
+ "欐": [
+ "ㄌㄧ4",
+ "ㄌㄧ3"
+ ],
+ "欑": [
+ "ㄘㄨㄢ2",
+ "ㄗㄨㄢ4"
+ ],
+ "欒": [
+ "ㄌㄨㄢ2"
+ ],
+ "欓": [
+ "ㄉㄤ3",
+ "ㄊㄤ3"
+ ],
+ "欔": [
+ "ㄐㄩㄝ2"
+ ],
+ "欕": [
+ "ㄧㄢ2"
+ ],
+ "欖": [
+ "ㄌㄢ3"
+ ],
+ "欗": [
+ "ㄌㄢ2"
+ ],
+ "欘": [
+ "ㄓㄨ2"
+ ],
+ "欙": [
+ "ㄌㄟ2",
+ "ㄌㄨㄛ3"
+ ],
+ "欚": [
+ "ㄌㄧ3"
+ ],
+ "欛": [
+ "ㄅㄚ4"
+ ],
+ "欜": [
+ "ㄋㄤ2"
+ ],
+ "欝": [
+ "ㄩ4"
+ ],
+ "欞": [
+ "ㄌㄧㄥ2"
+ ],
+ "欟": [
+ "ㄍㄨㄤ5"
+ ],
+ "欠": [
+ "ㄑㄧㄢ4"
+ ],
+ "次": [
+ "ㄘ4",
+ "ㄗ1",
+ "ㄘ2"
+ ],
+ "欢": [
+ "ㄏㄨㄢ1"
+ ],
+ "欣": [
+ "ㄒㄧㄣ1"
+ ],
+ "欤": [
+ "ㄩ2"
+ ],
+ "欥": [
+ "ㄧ4",
+ "ㄏㄨㄢ1",
+ "ㄩ4"
+ ],
+ "欦": [
+ "ㄑㄧㄢ1",
+ "ㄏㄢ1",
+ "ㄒㄧㄢ1",
+ "ㄑㄧㄢ2"
+ ],
+ "欧": [
+ "ㄡ1"
+ ],
+ "欨": [
+ "ㄒㄩ1"
+ ],
+ "欩": [
+ "ㄔㄠ1"
+ ],
+ "欪": [
+ "ㄔㄨ4",
+ "ㄒㄧ4",
+ "ㄑㄩ4"
+ ],
+ "欫": [
+ "ㄑㄧ4"
+ ],
+ "欬": [
+ "ㄎㄞ4",
+ "ㄞ4"
+ ],
+ "欭": [
+ "ㄧ4",
+ "ㄧㄣ1"
+ ],
+ "欮": [
+ "ㄐㄩㄝ2"
+ ],
+ "欯": [
+ "ㄒㄧ4",
+ "ㄎㄞ4"
+ ],
+ "欰": [
+ "ㄒㄩ4"
+ ],
+ "欱": [
+ "ㄏㄜ1",
+ "ㄒㄧㄚ2"
+ ],
+ "欲": [
+ "ㄩ4"
+ ],
+ "欳": [
+ "ㄎㄨㄟ4"
+ ],
+ "欴": [
+ "ㄌㄤ2"
+ ],
+ "欵": [
+ "ㄎㄨㄢ3"
+ ],
+ "欶": [
+ "ㄕㄨㄛ4",
+ "ㄙㄡ4"
+ ],
+ "欷": [
+ "ㄒㄧ1"
+ ],
+ "欸": [
+ "ㄞ1",
+ "ㄞ3",
+ "ê1",
+ "ê2",
+ "ê3",
+ "ê4",
+ "ㄒㄧㄝ4",
+ "ㄟ2",
+ "ㄟ3",
+ "ㄟ4",
+ "ㄟ1"
+ ],
+ "欹": [
+ "ㄧ1",
+ "ㄑㄧ1"
+ ],
+ "欺": [
+ "ㄑㄧ1"
+ ],
+ "欻": [
+ "ㄔㄨㄚ1",
+ "ㄒㄩ1"
+ ],
+ "欼": [
+ "ㄔ3",
+ "ㄔㄨㄞ4"
+ ],
+ "欽": [
+ "ㄑㄧㄣ1",
+ "ㄑㄧㄣ4",
+ "ㄧㄣ2"
+ ],
+ "款": [
+ "ㄎㄨㄢ3",
+ "ㄒㄧㄣ1"
+ ],
+ "欿": [
+ "ㄎㄢ3",
+ "ㄑㄧㄢ4",
+ "ㄉㄢ4"
+ ],
+ "歀": [
+ "ㄎㄨㄢ3"
+ ],
+ "歁": [
+ "ㄎㄢ3",
+ "ㄎㄜ4",
+ "ㄑㄧㄢ3"
+ ],
+ "歂": [
+ "ㄔㄨㄢ3",
+ "ㄔㄨㄢ2"
+ ],
+ "歃": [
+ "ㄕㄚ4",
+ "ㄒㄧㄚ2"
+ ],
+ "歄": [
+ "ㄍㄨㄚ1"
+ ],
+ "歅": [
+ "ㄧㄣ1"
+ ],
+ "歆": [
+ "ㄒㄧㄣ1"
+ ],
+ "歇": [
+ "ㄒㄧㄝ1",
+ "ㄧㄚ4"
+ ],
+ "歈": [
+ "ㄩ2"
+ ],
+ "歉": [
+ "ㄑㄧㄢ4"
+ ],
+ "歊": [
+ "ㄒㄧㄠ1"
+ ],
+ "歋": [
+ "ㄧㄝ4"
+ ],
+ "歌": [
+ "ㄍㄜ1"
+ ],
+ "歍": [
+ "ㄨ1",
+ "ㄧㄤ1"
+ ],
+ "歎": [
+ "ㄊㄢ4"
+ ],
+ "歏": [
+ "ㄐㄧㄣ4",
+ "ㄑㄩㄣ1"
+ ],
+ "歐": [
+ "ㄡ1",
+ "ㄡ3"
+ ],
+ "歑": [
+ "ㄏㄨ1"
+ ],
+ "歒": [
+ "ㄊㄧ4",
+ "ㄒㄧㄠ1"
+ ],
+ "歓": [
+ "ㄏㄨㄢ1"
+ ],
+ "歔": [
+ "ㄒㄩ1"
+ ],
+ "歕": [
+ "ㄆㄣ1"
+ ],
+ "歖": [
+ "ㄒㄧ3",
+ "ㄧ3"
+ ],
+ "歗": [
+ "ㄒㄧㄠ4"
+ ],
+ "歘": [
+ "ㄔㄨㄚ1",
+ "ㄒㄩ1"
+ ],
+ "歙": [
+ "ㄕㄜ4",
+ "ㄒㄧ1",
+ "ㄒㄧㄝ2"
+ ],
+ "歚": [
+ "ㄕㄢ4"
+ ],
+ "歛": [
+ "ㄏㄢ1",
+ "ㄌㄧㄢ3"
+ ],
+ "歜": [
+ "ㄔㄨ4"
+ ],
+ "歝": [
+ "ㄧ4"
+ ],
+ "歞": [
+ "ㄜ4"
+ ],
+ "歟": [
+ "ㄩ2"
+ ],
+ "歠": [
+ "ㄔㄨㄛ4"
+ ],
+ "歡": [
+ "ㄏㄨㄢ1"
+ ],
+ "止": [
+ "ㄓ3"
+ ],
+ "正": [
+ "ㄓㄥ4",
+ "ㄓㄥ1"
+ ],
+ "此": [
+ "ㄘ3"
+ ],
+ "步": [
+ "ㄅㄨ4"
+ ],
+ "武": [
+ "ㄨ3"
+ ],
+ "歧": [
+ "ㄑㄧ2"
+ ],
+ "歨": [
+ "ㄅㄨ4"
+ ],
+ "歩": [
+ "ㄅㄨ4"
+ ],
+ "歪": [
+ "ㄨㄞ1",
+ "ㄨㄞ3"
+ ],
+ "歫": [
+ "ㄐㄩ4"
+ ],
+ "歬": [
+ "ㄑㄧㄢ2"
+ ],
+ "歭": [
+ "ㄔ2",
+ "ㄓ4"
+ ],
+ "歮": [
+ "ㄙㄜ4"
+ ],
+ "歯": [
+ "ㄔ3"
+ ],
+ "歰": [
+ "ㄙㄜ4",
+ "ㄕㄚ4"
+ ],
+ "歱": [
+ "ㄓㄨㄥ3"
+ ],
+ "歲": [
+ "ㄙㄨㄟ4",
+ "ㄙㄨㄛ4"
+ ],
+ "歳": [
+ "ㄙㄨㄟ4"
+ ],
+ "歴": [
+ "ㄌㄧ4"
+ ],
+ "歵": [
+ "ㄗㄜ2"
+ ],
+ "歶": [
+ "ㄩ2"
+ ],
+ "歷": [
+ "ㄌㄧ4"
+ ],
+ "歸": [
+ "ㄍㄨㄟ1",
+ "ㄎㄨㄟ4",
+ "ㄎㄨㄟ2"
+ ],
+ "歹": [
+ "ㄉㄞ3",
+ "ㄜ4",
+ "ㄉㄞ1"
+ ],
+ "歺": [
+ "ㄜ4"
+ ],
+ "死": [
+ "ㄙ3"
+ ],
+ "歼": [
+ "ㄐㄧㄢ1"
+ ],
+ "歽": [
+ "ㄓㄜ2"
+ ],
+ "歾": [
+ "ㄇㄛ4",
+ "ㄨㄣ3"
+ ],
+ "歿": [
+ "ㄇㄛ4"
+ ],
+ "殀": [
+ "ㄧㄠ1"
+ ],
+ "殁": [
+ "ㄇㄛ4",
+ "ㄨㄣ3"
+ ],
+ "殂": [
+ "ㄘㄨ2"
+ ],
+ "殃": [
+ "ㄧㄤ1"
+ ],
+ "殄": [
+ "ㄊㄧㄢ3"
+ ],
+ "殅": [
+ "ㄕㄥ1"
+ ],
+ "殆": [
+ "ㄉㄞ4"
+ ],
+ "殇": [
+ "ㄕㄤ1"
+ ],
+ "殈": [
+ "ㄒㄩ4"
+ ],
+ "殉": [
+ "ㄒㄩㄣ4"
+ ],
+ "殊": [
+ "ㄕㄨ1"
+ ],
+ "残": [
+ "ㄘㄢ2"
+ ],
+ "殌": [
+ "ㄐㄩㄝ2"
+ ],
+ "殍": [
+ "ㄆㄧㄠ3",
+ "ㄅㄧ4"
+ ],
+ "殎": [
+ "ㄑㄧㄚ4"
+ ],
+ "殏": [
+ "ㄑㄧㄡ2"
+ ],
+ "殐": [
+ "ㄙㄨ4"
+ ],
+ "殑": [
+ "ㄑㄧㄥ2",
+ "ㄐㄧㄥ1",
+ "ㄐㄧㄥ4"
+ ],
+ "殒": [
+ "ㄩㄣ3"
+ ],
+ "殓": [
+ "ㄌㄧㄢ4"
+ ],
+ "殔": [
+ "ㄧ4"
+ ],
+ "殕": [
+ "ㄈㄡ3",
+ "ㄧㄝ4",
+ "ㄅㄛ2"
+ ],
+ "殖": [
+ "ㄓ2",
+ "ㄕ5",
+ "ㄕ4"
+ ],
+ "殗": [
+ "ㄧㄝ4",
+ "ㄧㄢ4",
+ "ㄧㄢ1"
+ ],
+ "殘": [
+ "ㄘㄢ2"
+ ],
+ "殙": [
+ "ㄏㄨㄣ1",
+ "ㄇㄣ4"
+ ],
+ "殚": [
+ "ㄉㄢ1"
+ ],
+ "殛": [
+ "ㄐㄧ2"
+ ],
+ "殜": [
+ "ㄉㄧㄝ2"
+ ],
+ "殝": [
+ "ㄓㄣ1"
+ ],
+ "殞": [
+ "ㄩㄣ3"
+ ],
+ "殟": [
+ "ㄨㄣ1"
+ ],
+ "殠": [
+ "ㄔㄡ4"
+ ],
+ "殡": [
+ "ㄅㄧㄣ4"
+ ],
+ "殢": [
+ "ㄊㄧ4"
+ ],
+ "殣": [
+ "ㄐㄧㄣ4"
+ ],
+ "殤": [
+ "ㄕㄤ1"
+ ],
+ "殥": [
+ "ㄧㄣ2"
+ ],
+ "殦": [
+ "ㄉㄧㄠ1"
+ ],
+ "殧": [
+ "ㄐㄧㄡ4"
+ ],
+ "殨": [
+ "ㄏㄨㄟ4",
+ "ㄎㄨㄟ4"
+ ],
+ "殩": [
+ "ㄘㄨㄢ4"
+ ],
+ "殪": [
+ "ㄧ4"
+ ],
+ "殫": [
+ "ㄉㄢ1"
+ ],
+ "殬": [
+ "ㄉㄨ4"
+ ],
+ "殭": [
+ "ㄐㄧㄤ1"
+ ],
+ "殮": [
+ "ㄌㄧㄢ4"
+ ],
+ "殯": [
+ "ㄅㄧㄣ4"
+ ],
+ "殰": [
+ "ㄉㄨ2"
+ ],
+ "殱": [
+ "ㄐㄧㄢ1"
+ ],
+ "殲": [
+ "ㄐㄧㄢ1"
+ ],
+ "殳": [
+ "ㄕㄨ1"
+ ],
+ "殴": [
+ "ㄡ1"
+ ],
+ "段": [
+ "ㄉㄨㄢ4"
+ ],
+ "殶": [
+ "ㄓㄨ4"
+ ],
+ "殷": [
+ "ㄧㄣ1",
+ "ㄧㄢ1",
+ "ㄧㄣ3"
+ ],
+ "殸": [
+ "ㄑㄧㄥ4",
+ "ㄎㄥ1",
+ "ㄕㄥ1"
+ ],
+ "殹": [
+ "ㄧ4"
+ ],
+ "殺": [
+ "ㄕㄚ1",
+ "ㄕㄞ4",
+ "ㄙㄚ4",
+ "ㄒㄧㄝ4",
+ "ㄕ4"
+ ],
+ "殻": [
+ "ㄑㄧㄠ4"
+ ],
+ "殼": [
+ "ㄎㄜ2",
+ "ㄑㄧㄠ4"
+ ],
+ "殽": [
+ "ㄒㄧㄠ2",
+ "ㄧㄠ2",
+ "ㄒㄧㄠ4"
+ ],
+ "殾": [
+ "ㄒㄩㄣ4"
+ ],
+ "殿": [
+ "ㄉㄧㄢ4"
+ ],
+ "毀": [
+ "ㄏㄨㄟ3"
+ ],
+ "毁": [
+ "ㄏㄨㄟ3",
+ "ㄏㄨㄟ4"
+ ],
+ "毂": [
+ "ㄍㄨ3",
+ "ㄍㄨ1"
+ ],
+ "毃": [
+ "ㄑㄧㄠ1"
+ ],
+ "毄": [
+ "ㄐㄧ1"
+ ],
+ "毅": [
+ "ㄧ4"
+ ],
+ "毆": [
+ "ㄡ1",
+ "ㄎㄡ1",
+ "ㄑㄩ1"
+ ],
+ "毇": [
+ "ㄏㄨㄟ3"
+ ],
+ "毈": [
+ "ㄉㄨㄢ4"
+ ],
+ "毉": [
+ "ㄧ1"
+ ],
+ "毊": [
+ "ㄒㄧㄠ1"
+ ],
+ "毋": [
+ "ㄨ2",
+ "ㄇㄡ2"
+ ],
+ "毌": [
+ "ㄍㄨㄢ4"
+ ],
+ "母": [
+ "ㄇㄨ3",
+ "ㄇㄨ2",
+ "ㄨ3",
+ "ㄨ2"
+ ],
+ "毎": [
+ "ㄇㄟ3"
+ ],
+ "每": [
+ "ㄇㄟ3"
+ ],
+ "毐": [
+ "ㄞ3"
+ ],
+ "毑": [
+ "ㄐㄧㄝ3"
+ ],
+ "毒": [
+ "ㄉㄨ2",
+ "ㄉㄞ4"
+ ],
+ "毓": [
+ "ㄩ4"
+ ],
+ "比": [
+ "ㄅㄧ3",
+ "ㄅㄧ4",
+ "ㄆㄧ2",
+ "ㄆㄧ3"
+ ],
+ "毕": [
+ "ㄅㄧ4"
+ ],
+ "毖": [
+ "ㄅㄧ4"
+ ],
+ "毗": [
+ "ㄆㄧ2"
+ ],
+ "毘": [
+ "ㄆㄧ2"
+ ],
+ "毙": [
+ "ㄅㄧ4"
+ ],
+ "毚": [
+ "ㄔㄢ2"
+ ],
+ "毛": [
+ "ㄇㄠ2",
+ "ㄇㄠ4"
+ ],
+ "毜": [
+ "ㄏㄠ2"
+ ],
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+ "ㄘㄞ3"
+ ],
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+ "ㄆㄧ2"
+ ],
+ "毟": [
+ "ㄌㄧㄝ3"
+ ],
+ "毠": [
+ "ㄐㄧㄚ1"
+ ],
+ "毡": [
+ "ㄓㄢ1"
+ ],
+ "毢": [
+ "ㄙㄞ1"
+ ],
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+ "ㄇㄨ4",
+ "ㄇㄠ4"
+ ],
+ "毤": [
+ "ㄊㄨㄛ4"
+ ],
+ "毥": [
+ "ㄒㄩㄣ2",
+ "ㄒㄩㄣ4"
+ ],
+ "毦": [
+ "ㄦ3"
+ ],
+ "毧": [
+ "ㄖㄨㄥ2"
+ ],
+ "毨": [
+ "ㄒㄧㄢ3"
+ ],
+ "毩": [
+ "ㄐㄩ2"
+ ],
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+ "ㄇㄨ2"
+ ],
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+ "ㄏㄠ2"
+ ],
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+ "ㄑㄧㄡ2"
+ ],
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+ "ㄉㄡ4",
+ "ㄋㄨㄛ4"
+ ],
+ "毮": [
+ "ㄕㄚ1"
+ ],
+ "毯": [
+ "ㄊㄢ3"
+ ],
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+ "ㄆㄟ2"
+ ],
+ "毱": [
+ "ㄐㄩ2"
+ ],
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+ "ㄉㄨㄛ1"
+ ],
+ "毳": [
+ "ㄘㄨㄟ4",
+ "ㄑㄧㄠ1",
+ "ㄒㄧㄚ1"
+ ],
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+ "ㄅㄧ1"
+ ],
+ "毵": [
+ "ㄙㄢ1"
+ ],
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+ "ㄙㄢ1"
+ ],
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+ "ㄇㄠ4"
+ ],
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+ "ㄙㄞ1",
+ "ㄙㄨㄟ1"
+ ],
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+ "ㄕㄨ1",
+ "ㄩ2"
+ ],
+ "毺": [
+ "ㄕㄨ1"
+ ],
+ "毻": [
+ "ㄊㄨㄛ4"
+ ],
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+ "ㄏㄜ2",
+ "ㄎㄜ3",
+ "ㄉㄚ1"
+ ],
+ "毽": [
+ "ㄐㄧㄢ4"
+ ],
+ "毾": [
+ "ㄊㄚ4"
+ ],
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+ "ㄙㄢ1"
+ ],
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+ "ㄌㄩ2",
+ "ㄕㄨ1",
+ "ㄩ2",
+ "ㄉㄡ1"
+ ],
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+ "ㄇㄨ2"
+ ],
+ "氂": [
+ "ㄇㄠ2",
+ "ㄌㄧ2"
+ ],
+ "氃": [
+ "ㄊㄨㄥ2"
+ ],
+ "氄": [
+ "ㄖㄨㄥ3",
+ "ㄖㄨㄥ2"
+ ],
+ "氅": [
+ "ㄔㄤ3"
+ ],
+ "氆": [
+ "ㄆㄨ3"
+ ],
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+ "ㄌㄨ5"
+ ],
+ "氈": [
+ "ㄓㄢ1"
+ ],
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+ "ㄙㄠ4"
+ ],
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+ "ㄓㄢ1"
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+ "ㄇㄥ2"
+ ],
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+ "ㄌㄨ3"
+ ],
+ "氍": [
+ "ㄑㄩ2"
+ ],
+ "氎": [
+ "ㄉㄧㄝ2"
+ ],
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+ "ㄕ4",
+ "ㄓ1",
+ "ㄐㄧㄥ1"
+ ],
+ "氐": [
+ "ㄉㄧ1",
+ "ㄉㄧ3",
+ "ㄓ1"
+ ],
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+ "ㄇㄧㄣ2"
+ ],
+ "氒": [
+ "ㄐㄩㄝ2"
+ ],
+ "氓": [
+ "ㄇㄤ2",
+ "ㄇㄥ2"
+ ],
+ "气": [
+ "ㄑㄧ4",
+ "ㄑㄧ3"
+ ],
+ "氕": [
+ "ㄆㄧㄝ1"
+ ],
+ "氖": [
+ "ㄋㄞ3"
+ ],
+ "気": [
+ "ㄑㄧ4"
+ ],
+ "氘": [
+ "ㄉㄠ1"
+ ],
+ "氙": [
+ "ㄒㄧㄢ1"
+ ],
+ "氚": [
+ "ㄔㄨㄢ1"
+ ],
+ "氛": [
+ "ㄈㄣ1"
+ ],
+ "氜": [
+ "ㄧㄤ2",
+ "ㄖ4"
+ ],
+ "氝": [
+ "ㄋㄟ4"
+ ],
+ "氞": [
+ "ㄅㄧㄣ5"
+ ],
+ "氟": [
+ "ㄈㄨ2"
+ ],
+ "氠": [
+ "ㄕㄣ1"
+ ],
+ "氡": [
+ "ㄉㄨㄥ1"
+ ],
+ "氢": [
+ "ㄑㄧㄥ1"
+ ],
+ "氣": [
+ "ㄑㄧ4",
+ "ㄒㄧ4"
+ ],
+ "氤": [
+ "ㄧㄣ1",
+ "ㄧㄢ2"
+ ],
+ "氥": [
+ "ㄒㄧ1"
+ ],
+ "氦": [
+ "ㄏㄞ4"
+ ],
+ "氧": [
+ "ㄧㄤ3"
+ ],
+ "氨": [
+ "ㄢ1"
+ ],
+ "氩": [
+ "ㄧㄚ4"
+ ],
+ "氪": [
+ "ㄎㄜ4"
+ ],
+ "氫": [
+ "ㄑㄧㄥ1"
+ ],
+ "氬": [
+ "ㄧㄚ4"
+ ],
+ "氭": [
+ "ㄉㄨㄥ1"
+ ],
+ "氮": [
+ "ㄉㄢ4"
+ ],
+ "氯": [
+ "ㄌㄩ4"
+ ],
+ "氰": [
+ "ㄑㄧㄥ2"
+ ],
+ "氱": [
+ "ㄧㄤ3"
+ ],
+ "氲": [
+ "ㄩㄣ1",
+ "ㄩㄣ2"
+ ],
+ "氳": [
+ "ㄩㄣ1"
+ ],
+ "水": [
+ "ㄕㄨㄟ3"
+ ],
+ "氵": [
+ "ㄕㄨㄟ5"
+ ],
+ "氶": [
+ "ㄓㄥ3",
+ "ㄔㄥ2",
+ "ㄓㄥ4"
+ ],
+ "氷": [
+ "ㄅㄧㄥ1"
+ ],
+ "永": [
+ "ㄩㄥ3"
+ ],
+ "氹": [
+ "ㄉㄤ4"
+ ],
+ "氺": [
+ "ㄕㄨㄟ3"
+ ],
+ "氻": [
+ "ㄌㄜ4"
+ ],
+ "氼": [
+ "ㄋㄧ4",
+ "ㄇㄟ4"
+ ],
+ "氽": [
+ "ㄊㄨㄣ3",
+ "ㄑㄧㄡ2"
+ ],
+ "氾": [
+ "ㄈㄢ4",
+ "ㄈㄢ2"
+ ],
+ "氿": [
+ "ㄍㄨㄟ3",
+ "ㄐㄧㄡ3",
+ "ㄑㄧㄡ2"
+ ],
+ "汀": [
+ "ㄊㄧㄥ1",
+ "ㄊㄧㄥ4",
+ "ㄉㄧㄥ4"
+ ],
+ "汁": [
+ "ㄓ1",
+ "ㄒㄧㄝ2",
+ "ㄕ2"
+ ],
+ "求": [
+ "ㄑㄧㄡ2"
+ ],
+ "汃": [
+ "ㄅㄧㄣ1",
+ "ㄆㄚ4",
+ "ㄆㄚ1"
+ ],
+ "汄": [
+ "ㄗㄜ4"
+ ],
+ "汅": [
+ "ㄇㄧㄢ3"
+ ],
+ "汆": [
+ "ㄘㄨㄢ1"
+ ],
+ "汇": [
+ "ㄏㄨㄟ4"
+ ],
+ "汈": [
+ "ㄉㄧㄠ1"
+ ],
+ "汉": [
+ "ㄏㄢ4"
+ ],
+ "汊": [
+ "ㄔㄚ4"
+ ],
+ "汋": [
+ "ㄓㄨㄛ2",
+ "ㄩㄝ4",
+ "ㄑㄩㄝ4",
+ "ㄕㄨㄛ4"
+ ],
+ "汌": [
+ "ㄔㄨㄢ4"
+ ],
+ "汍": [
+ "ㄨㄢ2",
+ "ㄏㄨㄢ2"
+ ],
+ "汎": [
+ "ㄈㄢ4",
+ "ㄈㄚ2"
+ ],
+ "汏": [
+ "ㄉㄚ4",
+ "ㄊㄞ4"
+ ],
+ "汐": [
+ "ㄒㄧ1"
+ ],
+ "汑": [
+ "ㄊㄨㄛ1"
+ ],
+ "汒": [
+ "ㄇㄤ2",
+ "ㄇㄤ3"
+ ],
+ "汓": [
+ "ㄑㄧㄡ2",
+ "ㄧㄡ2"
+ ],
+ "汔": [
+ "ㄑㄧ4"
+ ],
+ "汕": [
+ "ㄕㄢ4",
+ "ㄕㄨㄢ4"
+ ],
+ "汖": [
+ "ㄆㄧㄣ4",
+ "ㄔ2"
+ ],
+ "汗": [
+ "ㄏㄢ4",
+ "ㄏㄢ2",
+ "ㄍㄢ1"
+ ],
+ "汘": [
+ "ㄑㄧㄢ1"
+ ],
+ "汙": [
+ "ㄨ1",
+ "ㄩ2",
+ "ㄨㄚ1",
+ "ㄩ1"
+ ],
+ "汚": [
+ "ㄨ1"
+ ],
+ "汛": [
+ "ㄒㄩㄣ4"
+ ],
+ "汜": [
+ "ㄙ4"
+ ],
+ "汝": [
+ "ㄖㄨ3"
+ ],
+ "汞": [
+ "ㄍㄨㄥ3"
+ ],
+ "江": [
+ "ㄐㄧㄤ1"
+ ],
+ "池": [
+ "ㄔ2",
+ "ㄊㄨㄛ2",
+ "ㄔㄜ4"
+ ],
+ "污": [
+ "ㄨ1"
+ ],
+ "汢": [
+ "ㄊㄨ5"
+ ],
+ "汣": [
+ "ㄐㄧㄡ3"
+ ],
+ "汤": [
+ "ㄊㄤ1",
+ "ㄕㄤ1"
+ ],
+ "汥": [
+ "ㄓ1",
+ "ㄐㄧ4"
+ ],
+ "汦": [
+ "ㄓ3"
+ ],
+ "汧": [
+ "ㄑㄧㄢ1",
+ "ㄧㄢ2"
+ ],
+ "汨": [
+ "ㄇㄧ4"
+ ],
+ "汩": [
+ "ㄍㄨ3",
+ "ㄩ4",
+ "ㄏㄨ2"
+ ],
+ "汪": [
+ "ㄨㄤ1",
+ "ㄨㄤ3",
+ "ㄏㄨㄥ2"
+ ],
+ "汫": [
+ "ㄐㄧㄥ3"
+ ],
+ "汬": [
+ "ㄐㄧㄥ3"
+ ],
+ "汭": [
+ "ㄖㄨㄟ4",
+ "ㄊㄨㄣ1"
+ ],
+ "汮": [
+ "ㄐㄩㄣ1"
+ ],
+ "汯": [
+ "ㄏㄨㄥ2"
+ ],
+ "汰": [
+ "ㄊㄞ4"
+ ],
+ "汱": [
+ "ㄑㄩㄢ3",
+ "ㄈㄨ2"
+ ],
+ "汲": [
+ "ㄐㄧ2",
+ "ㄐㄧ1"
+ ],
+ "汳": [
+ "ㄅㄧㄢ4"
+ ],
+ "汴": [
+ "ㄅㄧㄢ4"
+ ],
+ "汵": [
+ "ㄍㄢ4",
+ "ㄏㄢ2",
+ "ㄘㄣ2"
+ ],
+ "汶": [
+ "ㄨㄣ4",
+ "ㄨㄣ2",
+ "ㄇㄧㄣ2",
+ "ㄇㄣ2"
+ ],
+ "汷": [
+ "ㄓㄨㄥ1"
+ ],
+ "汸": [
+ "ㄈㄤ1",
+ "ㄆㄤ1"
+ ],
+ "汹": [
+ "ㄒㄩㄥ1"
+ ],
+ "決": [
+ "ㄐㄩㄝ2",
+ "ㄑㄩㄝ1",
+ "ㄒㄩㄝ4"
+ ],
+ "汻": [
+ "ㄏㄨ3",
+ "ㄏㄨㄤ3"
+ ],
+ "汼": [
+ "ㄋㄧㄡ2",
+ "ㄧㄡ2"
+ ],
+ "汽": [
+ "ㄑㄧ4",
+ "ㄍㄞ4",
+ "ㄧ3"
+ ],
+ "汾": [
+ "ㄈㄣ2",
+ "ㄆㄣ2",
+ "ㄈㄣ1"
+ ],
+ "汿": [
+ "ㄒㄩ4"
+ ],
+ "沀": [
+ "ㄒㄩ4"
+ ],
+ "沁": [
+ "ㄑㄧㄣ4"
+ ],
+ "沂": [
+ "ㄧ2",
+ "ㄧㄣ2"
+ ],
+ "沃": [
+ "ㄨㄛ4"
+ ],
+ "沄": [
+ "ㄩㄣ2"
+ ],
+ "沅": [
+ "ㄩㄢ2"
+ ],
+ "沆": [
+ "ㄏㄤ4",
+ "ㄏㄤ2",
+ "ㄎㄤ4"
+ ],
+ "沇": [
+ "ㄧㄢ3",
+ "ㄨㄟ3"
+ ],
+ "沈": [
+ "ㄕㄣ3",
+ "ㄔㄣ2",
+ "ㄊㄢ2"
+ ],
+ "沉": [
+ "ㄔㄣ2"
+ ],
+ "沊": [
+ "ㄉㄢ4"
+ ],
+ "沋": [
+ "ㄧㄡ2"
+ ],
+ "沌": [
+ "ㄉㄨㄣ4",
+ "ㄓㄨㄢ4",
+ "ㄊㄨㄣ2",
+ "ㄔㄨㄣ2"
+ ],
+ "沍": [
+ "ㄏㄨ4",
+ "ㄏㄨ2"
+ ],
+ "沎": [
+ "ㄏㄨㄛ4"
+ ],
+ "沏": [
+ "ㄑㄧ1",
+ "ㄑㄧㄝ4"
+ ],
+ "沐": [
+ "ㄇㄨ4"
+ ],
+ "沑": [
+ "ㄋㄩ4",
+ "ㄋㄧㄡ3"
+ ],
+ "沒": [
+ "ㄇㄟ2"
+ ],
+ "沓": [
+ "ㄉㄚ2",
+ "ㄊㄚ4"
+ ],
+ "沔": [
+ "ㄇㄧㄢ3"
+ ],
+ "沕": [
+ "ㄇㄧ4",
+ "ㄨ4",
+ "ㄈㄨ1"
+ ],
+ "沖": [
+ "ㄔㄨㄥ1"
+ ],
+ "沗": [
+ "ㄆㄤ1",
+ "ㄊㄧㄢ1"
+ ],
+ "沘": [
+ "ㄅㄧ3"
+ ],
+ "沙": [
+ "ㄕㄚ1",
+ "ㄕㄚ4",
+ "ㄙㄨㄛ1"
+ ],
+ "沚": [
+ "ㄓ3"
+ ],
+ "沛": [
+ "ㄆㄟ4"
+ ],
+ "沜": [
+ "ㄆㄢ4"
+ ],
+ "沝": [
+ "ㄓㄨㄟ3",
+ "ㄗ3"
+ ],
+ "沞": [
+ "ㄗㄚ1"
+ ],
+ "沟": [
+ "ㄍㄡ1"
+ ],
+ "沠": [
+ "ㄌㄧㄡ2"
+ ],
+ "没": [
+ "ㄇㄟ2",
+ "ㄇㄛ4",
+ "ㄇㄜ5"
+ ],
+ "沢": [
+ "ㄗㄜ2"
+ ],
+ "沣": [
+ "ㄈㄥ1"
+ ],
+ "沤": [
+ "ㄡ1",
+ "ㄡ4"
+ ],
+ "沥": [
+ "ㄌㄧ4"
+ ],
+ "沦": [
+ "ㄌㄨㄣ2"
+ ],
+ "沧": [
+ "ㄘㄤ1"
+ ],
+ "沨": [
+ "ㄈㄥ1"
+ ],
+ "沩": [
+ "ㄨㄟ2"
+ ],
+ "沪": [
+ "ㄏㄨ4"
+ ],
+ "沫": [
+ "ㄇㄛ4"
+ ],
+ "沬": [
+ "ㄇㄟ4",
+ "ㄏㄨㄟ4"
+ ],
+ "沭": [
+ "ㄕㄨ4"
+ ],
+ "沮": [
+ "ㄐㄩ3",
+ "ㄐㄩ1",
+ "ㄐㄩ4",
+ "ㄐㄧㄢ1",
+ "ㄗㄨ3"
+ ],
+ "沯": [
+ "ㄗㄚ2"
+ ],
+ "沰": [
+ "ㄊㄨㄛ1",
+ "ㄉㄨㄛ2"
+ ],
+ "沱": [
+ "ㄊㄨㄛ2",
+ "ㄉㄨㄛ4",
+ "ㄔ2"
+ ],
+ "沲": [
+ "ㄊㄨㄛ2"
+ ],
+ "河": [
+ "ㄏㄜ2"
+ ],
+ "沴": [
+ "ㄌㄧ4",
+ "ㄓㄣ3"
+ ],
+ "沵": [
+ "ㄇㄧ3"
+ ],
+ "沶": [
+ "ㄧ2",
+ "ㄔ2",
+ "ㄕ4"
+ ],
+ "沷": [
+ "ㄈㄚ1"
+ ],
+ "沸": [
+ "ㄈㄟ4",
+ "ㄈㄨ2"
+ ],
+ "油": [
+ "ㄧㄡ2",
+ "ㄧㄡ4"
+ ],
+ "沺": [
+ "ㄊㄧㄢ2"
+ ],
+ "治": [
+ "ㄓ4",
+ "ㄔ2"
+ ],
+ "沼": [
+ "ㄓㄠ3"
+ ],
+ "沽": [
+ "ㄍㄨ1",
+ "ㄍㄨ3"
+ ],
+ "沾": [
+ "ㄓㄢ1",
+ "ㄊㄧㄢ1",
+ "ㄉㄧㄢ4",
+ "ㄔㄢ1"
+ ],
+ "沿": [
+ "ㄧㄢ2",
+ "ㄧㄢ3",
+ "ㄧㄢ4"
+ ],
+ "泀": [
+ "ㄙ1"
+ ],
+ "況": [
+ "ㄎㄨㄤ4"
+ ],
+ "泂": [
+ "ㄐㄩㄥ3",
+ "ㄧㄥ2",
+ "ㄧㄥ3",
+ "ㄐㄩㄥ1"
+ ],
+ "泃": [
+ "ㄐㄩ1",
+ "ㄍㄡ1"
+ ],
+ "泄": [
+ "ㄒㄧㄝ4",
+ "ㄧ4"
+ ],
+ "泅": [
+ "ㄑㄧㄡ2",
+ "ㄧㄡ1"
+ ],
+ "泆": [
+ "ㄧ4",
+ "ㄉㄧㄝ2"
+ ],
+ "泇": [
+ "ㄐㄧㄚ1"
+ ],
+ "泈": [
+ "ㄓㄨㄥ1"
+ ],
+ "泉": [
+ "ㄑㄩㄢ2"
+ ],
+ "泊": [
+ "ㄆㄛ1",
+ "ㄅㄛ2",
+ "ㄆㄛ4"
+ ],
+ "泋": [
+ "ㄏㄨㄟ4",
+ "ㄏㄨㄟ3"
+ ],
+ "泌": [
+ "ㄇㄧ4",
+ "ㄅㄧ4"
+ ],
+ "泍": [
+ "ㄅㄣ1",
+ "ㄅㄣ4"
+ ],
+ "泎": [
+ "ㄗㄜ2"
+ ],
+ "泏": [
+ "ㄓㄨ2",
+ "ㄎㄨ1"
+ ],
+ "泐": [
+ "ㄌㄜ4"
+ ],
+ "泑": [
+ "ㄧㄡ1",
+ "ㄠ1"
+ ],
+ "泒": [
+ "ㄍㄨ1"
+ ],
+ "泓": [
+ "ㄏㄨㄥ2"
+ ],
+ "泔": [
+ "ㄍㄢ1",
+ "ㄏㄢ4"
+ ],
+ "法": [
+ "ㄈㄚ3"
+ ],
+ "泖": [
+ "ㄇㄠ3",
+ "ㄌㄧㄡ3"
+ ],
+ "泗": [
+ "ㄙ4"
+ ],
+ "泘": [
+ "ㄏㄨ1"
+ ],
+ "泙": [
+ "ㄆㄧㄥ2",
+ "ㄆㄥ1"
+ ],
+ "泚": [
+ "ㄘ3",
+ "ㄗ3"
+ ],
+ "泛": [
+ "ㄈㄢ4",
+ "ㄈㄥ3",
+ "ㄈㄚ2"
+ ],
+ "泜": [
+ "ㄓ1",
+ "ㄔ2",
+ "ㄓ4"
+ ],
+ "泝": [
+ "ㄙㄨ4"
+ ],
+ "泞": [
+ "ㄋㄧㄥ4",
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+ "ㄒㄧㄠ4"
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+ "ㄅㄧㄣ1"
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+ "ㄊㄢ1"
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+ "ㄔ4"
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+ "ㄎㄡ4"
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+ "ㄙㄣ1",
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+ "ㄌㄧㄣ2"
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+ "ㄕㄤ1"
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+ "ㄒㄩ3"
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+ "ㄏㄨ1",
+ "ㄏㄨ3"
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+ "ㄧㄡ1"
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+ "ㄔㄢ3"
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+ "ㄈㄢ4"
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+ "ㄩㄥ1"
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+ "ㄍㄨㄣ3"
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+ "滿": [
+ "ㄇㄢ3",
+ "ㄇㄣ4"
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+ "ㄑㄧㄥ3",
+ "ㄑㄧㄥ1"
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+ "漁": [
+ "ㄩ2"
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+ "漂": [
+ "ㄆㄧㄠ1",
+ "ㄆㄧㄠ4",
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+ "ㄅㄧㄠ1"
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+ "ㄧㄚ2"
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+ "ㄔㄠ2"
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+ "ㄑㄧ1",
+ "ㄑㄧㄝ4"
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+ "ㄒㄧ3"
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+ "ㄐㄧ4"
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+ "ㄌㄨ4"
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+ "ㄌㄩ3",
+ "ㄌㄡ3"
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+ "漋": [
+ "ㄌㄨㄥ2"
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+ "ㄍㄨㄛ2"
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+ "ㄘㄨㄥ2",
+ "ㄙㄨㄥ3"
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+ "漏": [
+ "ㄌㄡ4",
+ "ㄌㄡ2"
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+ "漐": [
+ "ㄓ2"
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+ "漑": [
+ "ㄍㄞ4"
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+ "漒": [
+ "ㄑㄧㄤ2"
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+ "漓": [
+ "ㄌㄧ2"
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+ "ㄧㄢ3",
+ "ㄧㄢ4"
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+ "漕": [
+ "ㄘㄠ2",
+ "ㄘㄠ4"
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+ "漖": [
+ "ㄐㄧㄠ4"
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+ "漗": [
+ "ㄘㄨㄥ1"
+ ],
+ "漘": [
+ "ㄔㄨㄣ2"
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+ "漙": [
+ "ㄊㄨㄢ2",
+ "ㄓㄨㄢ1"
+ ],
+ "漚": [
+ "ㄡ1",
+ "ㄡ4"
+ ],
+ "漛": [
+ "ㄊㄥ2"
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+ "漜": [
+ "ㄧㄝ3"
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+ "ㄒㄧ2"
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+ "漞": [
+ "ㄇㄧ4"
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+ "ㄊㄤ2"
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+ "漠": [
+ "ㄇㄛ4"
+ ],
+ "漡": [
+ "ㄕㄤ1",
+ "ㄊㄤ4"
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+ "漢": [
+ "ㄏㄢ4",
+ "ㄊㄢ1"
+ ],
+ "漣": [
+ "ㄌㄧㄢ2",
+ "ㄌㄢ2"
+ ],
+ "漤": [
+ "ㄌㄢ3"
+ ],
+ "漥": [
+ "ㄨㄚ1"
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+ "漦": [
+ "ㄔ2",
+ "ㄊㄞ1"
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+ "漧": [
+ "ㄍㄢ1"
+ ],
+ "漨": [
+ "ㄈㄥ2",
+ "ㄆㄥ2",
+ "ㄅㄥ3"
+ ],
+ "漩": [
+ "ㄒㄩㄢ2"
+ ],
+ "漪": [
+ "ㄧ1"
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+ "漫": [
+ "ㄇㄢ4"
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+ "漬": [
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+ "ㄙㄜ4",
+ "ㄑㄧ4"
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+ "漭": [
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+ "ㄎㄤ1"
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+ "漯": [
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+ "ㄊㄚ4",
+ "ㄌㄟ3"
+ ],
+ "漰": [
+ "ㄆㄥ1"
+ ],
+ "漱": [
+ "ㄕㄨ4"
+ ],
+ "漲": [
+ "ㄓㄤ3",
+ "ㄓㄤ4",
+ "ㄓㄤ1"
+ ],
+ "漳": [
+ "ㄓㄤ1"
+ ],
+ "漴": [
+ "ㄓㄨㄤ4",
+ "ㄔㄨㄥ2",
+ "ㄕㄨㄤ1",
+ "ㄔㄨㄤ2"
+ ],
+ "漵": [
+ "ㄒㄩ4"
+ ],
+ "漶": [
+ "ㄏㄨㄢ4"
+ ],
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+ "ㄏㄨㄛ3",
+ "ㄎㄨㄛ4",
+ "ㄏㄨㄛ4"
+ ],
+ "漸": [
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+ "ㄐㄧㄢ1",
+ "ㄑㄧㄢ2",
+ "ㄔㄢ2"
+ ],
+ "漹": [
+ "ㄧㄢ1"
+ ],
+ "漺": [
+ "ㄕㄨㄤ3",
+ "ㄔㄨㄤ3"
+ ],
+ "漻": [
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+ "ㄒㄧㄠ4",
+ "ㄌㄧㄡ2"
+ ],
+ "漼": [
+ "ㄘㄨㄟ3",
+ "ㄘㄨㄟ1"
+ ],
+ "漽": [
+ "ㄊㄧ2"
+ ],
+ "漾": [
+ "ㄧㄤ4"
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+ "漿": [
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+ "ㄐㄧㄤ4"
+ ],
+ "潀": [
+ "ㄘㄨㄥ2"
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+ "潁": [
+ "ㄧㄥ3"
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+ "ㄒㄧㄡ3"
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+ "ㄕㄨ4"
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+ "ㄍㄨㄢ4"
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+ "ㄧㄥ2"
+ ],
+ "潇": [
+ "ㄒㄧㄠ1"
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+ "潈": [
+ "ㄗㄨㄥ5"
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+ "ㄎㄨㄣ1"
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+ "ㄒㄩ4"
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+ "ㄌㄧㄢ4"
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+ "潌": [
+ "ㄓ4"
+ ],
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+ "ㄨㄟ2"
+ ],
+ "潎": [
+ "ㄆㄧ4",
+ "ㄆㄧㄝ1",
+ "ㄆㄧㄠ4"
+ ],
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+ "ㄩ4",
+ "ㄐㄩㄝ2",
+ "ㄕㄨ4"
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+ "ㄐㄧㄠ4",
+ "ㄐㄧㄠ3",
+ "ㄑㄧㄠ2"
+ ],
+ "潑": [
+ "ㄆㄛ1",
+ "ㄅㄛ1"
+ ],
+ "潒": [
+ "ㄉㄤ4",
+ "ㄒㄧㄤ4",
+ "ㄧㄤ3"
+ ],
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+ "ㄏㄨㄟ4"
+ ],
+ "潔": [
+ "ㄐㄧㄝ2"
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+ "潕": [
+ "ㄨ3"
+ ],
+ "潖": [
+ "ㄆㄚ2"
+ ],
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+ "ㄐㄧ2"
+ ],
+ "潘": [
+ "ㄆㄢ1",
+ "ㄆㄢ4",
+ "ㄅㄛ1",
+ "ㄆㄢ2",
+ "ㄈㄢ1"
+ ],
+ "潙": [
+ "ㄨㄟ2",
+ "ㄍㄨㄟ1"
+ ],
+ "潚": [
+ "ㄙㄨ4",
+ "ㄒㄧㄠ1",
+ "ㄙㄡ1"
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+ "ㄑㄧㄢ2"
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+ "潜": [
+ "ㄑㄧㄢ2"
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+ "ㄒㄧ1",
+ "ㄧㄚ4"
+ ],
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+ "ㄌㄨ4"
+ ],
+ "潟": [
+ "ㄒㄧ4"
+ ],
+ "潠": [
+ "ㄒㄩㄣ4",
+ "ㄙㄨㄣ4"
+ ],
+ "潡": [
+ "ㄉㄨㄣ4"
+ ],
+ "潢": [
+ "ㄏㄨㄤ2",
+ "ㄏㄨㄤ4",
+ "ㄍㄨㄤ1"
+ ],
+ "潣": [
+ "ㄇㄧㄣ3"
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+ "潤": [
+ "ㄖㄨㄣ4"
+ ],
+ "潥": [
+ "ㄙㄨ4"
+ ],
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+ "ㄌㄠ3",
+ "ㄌㄧㄠ2",
+ "ㄌㄠ4",
+ "ㄌㄠ2",
+ "ㄌㄧㄠ3"
+ ],
+ "潧": [
+ "ㄓㄣ1"
+ ],
+ "潨": [
+ "ㄘㄨㄥ2",
+ "ㄗㄨㄥ1"
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+ "潩": [
+ "ㄧ4"
+ ],
+ "潪": [
+ "ㄓㄜ4",
+ "ㄓ4"
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+ "潫": [
+ "ㄨㄢ1"
+ ],
+ "潬": [
+ "ㄕㄢ4",
+ "ㄊㄢ1"
+ ],
+ "潭": [
+ "ㄊㄢ2",
+ "ㄒㄩㄣ2",
+ "ㄧㄣ3",
+ "ㄉㄢ4"
+ ],
+ "潮": [
+ "ㄔㄠ2"
+ ],
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+ "ㄧㄣ2"
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+ "ㄒㄧㄝ4"
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+ "ㄧㄝ1"
+ ],
+ "潲": [
+ "ㄕㄠ4"
+ ],
+ "潳": [
+ "ㄊㄨ2",
+ "ㄓㄚ1"
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+ "潴": [
+ "ㄓㄨ1"
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+ "潵": [
+ "ㄙㄚ3",
+ "ㄙㄢ4"
+ ],
+ "潶": [
+ "ㄏㄟ1"
+ ],
+ "潷": [
+ "ㄅㄧ4"
+ ],
+ "潸": [
+ "ㄕㄢ1"
+ ],
+ "潹": [
+ "ㄔㄢ2"
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+ "潺": [
+ "ㄔㄢ2"
+ ],
+ "潻": [
+ "ㄕㄨ3"
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+ "潼": [
+ "ㄊㄨㄥ2",
+ "ㄔㄨㄥ1",
+ "ㄓㄨㄥ1"
+ ],
+ "潽": [
+ "ㄆㄨ1",
+ "ㄆㄨ3"
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+ "潾": [
+ "ㄌㄧㄣ2"
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+ "ㄨㄟ2"
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+ "ㄙㄜ4"
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+ "ㄙㄜ4"
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+ "ㄔㄥ2"
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+ ],
+ "澄": [
+ "ㄔㄥ2",
+ "ㄉㄥ4"
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+ "澅": [
+ "ㄏㄨㄚ4"
+ ],
+ "澆": [
+ "ㄐㄧㄠ1",
+ "ㄠ4",
+ "ㄋㄠ4"
+ ],
+ "澇": [
+ "ㄌㄠ4",
+ "ㄌㄠ2"
+ ],
+ "澈": [
+ "ㄔㄜ4"
+ ],
+ "澉": [
+ "ㄍㄢ3",
+ "ㄏㄢ4"
+ ],
+ "澊": [
+ "ㄘㄨㄣ1",
+ "ㄘㄨㄣ2"
+ ],
+ "澋": [
+ "ㄏㄨㄥ4"
+ ],
+ "澌": [
+ "ㄙ1"
+ ],
+ "澍": [
+ "ㄕㄨ4",
+ "ㄓㄨ4"
+ ],
+ "澎": [
+ "ㄆㄥ1",
+ "ㄆㄥ2"
+ ],
+ "澏": [
+ "ㄏㄢ2"
+ ],
+ "澐": [
+ "ㄩㄣ2"
+ ],
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+ "ㄌㄧㄡ4"
+ ],
+ "澒": [
+ "ㄏㄨㄥ4"
+ ],
+ "澓": [
+ "ㄈㄨ2"
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+ "ㄏㄠ4"
+ ],
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+ "ㄏㄜ2"
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+ "ㄒㄧㄢ2"
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+ "ㄐㄧㄢ4"
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+ "澘": [
+ "ㄕㄢ1"
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+ "ㄒㄧ4"
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+ "ㄩ5"
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+ "ㄌㄨ3"
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+ "ㄌㄢ2"
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+ "ㄋㄧㄥ4"
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+ "ㄩ2"
+ ],
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+ "ㄌㄧㄣ3"
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+ "ㄇㄧㄢ3",
+ "ㄕㄥ2"
+ ],
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+ "ㄗㄠ3",
+ "ㄘㄠ1"
+ ],
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+ "ㄉㄤ1"
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+ "ㄏㄨㄢ4",
+ "ㄏㄢ4"
+ ],
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+ "ㄗㄜ2",
+ "ㄕ4",
+ "ㄧ4",
+ "ㄉㄨㄛ2"
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+ "ㄒㄧㄝ4"
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+ "ㄩ4"
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+ "ㄌㄧ3"
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+ "ㄕ4",
+ "ㄘㄨㄛ2"
+ ],
+ "澩": [
+ "ㄒㄩㄝ2",
+ "ㄒㄧㄠ4"
+ ],
+ "澪": [
+ "ㄌㄧㄥ2"
+ ],
+ "澫": [
+ "ㄨㄢ4",
+ "ㄇㄢ4",
+ "ㄡ3"
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+ "ㄗ1",
+ "ㄘ2"
+ ],
+ "澭": [
+ "ㄩㄥ1",
+ "ㄩㄥ3"
+ ],
+ "澮": [
+ "ㄏㄨㄟ4",
+ "ㄎㄨㄞ4",
+ "ㄏㄨㄚ2"
+ ],
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+ "ㄘㄢ4"
+ ],
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+ "ㄌㄧㄢ4"
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+ "澱": [
+ "ㄉㄧㄢ4"
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+ "澲": [
+ "ㄧㄝ4"
+ ],
+ "澳": [
+ "ㄠ4",
+ "ㄩ4"
+ ],
+ "澴": [
+ "ㄏㄨㄢ2",
+ "ㄒㄩㄢ4"
+ ],
+ "澵": [
+ "ㄓㄣ1"
+ ],
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+ "ㄉㄢ4",
+ "ㄓㄢ1"
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+ "ㄇㄢ4"
+ ],
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+ "ㄊㄢ2",
+ "ㄉㄢ1",
+ "ㄕㄢ4"
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+ "ㄐㄧㄠ4",
+ "ㄐㄧㄠ1"
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+ "ㄨㄛ1"
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+ "ㄆㄣ1"
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+ "ㄕㄚ4"
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+ "ㄇㄧ2",
+ "ㄋㄧ3"
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+ "ㄊㄚ4",
+ "ㄒㄧ2"
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+ "ㄋㄧㄥ2",
+ "ㄋㄧ4"
+ ],
+ "濙": [
+ "ㄧㄥ2"
+ ],
+ "濚": [
+ "ㄧㄥ2"
+ ],
+ "濛": [
+ "ㄇㄥ2"
+ ],
+ "濜": [
+ "ㄐㄧㄣ4",
+ "ㄐㄧㄣ1"
+ ],
+ "濝": [
+ "ㄑㄧ2"
+ ],
+ "濞": [
+ "ㄅㄧ4",
+ "ㄆㄧ4"
+ ],
+ "濟": [
+ "ㄐㄧ4",
+ "ㄐㄧ3",
+ "ㄑㄧ2"
+ ],
+ "濠": [
+ "ㄏㄠ2"
+ ],
+ "濡": [
+ "ㄖㄨ2",
+ "ㄖㄨㄢ3",
+ "ㄦ2",
+ "ㄋㄨㄢ2",
+ "ㄋㄨㄛ4"
+ ],
+ "濢": [
+ "ㄘㄨㄟ4",
+ "ㄗㄨㄟ3"
+ ],
+ "濣": [
+ "ㄨㄛ4"
+ ],
+ "濤": [
+ "ㄊㄠ1",
+ "ㄔㄠ2",
+ "ㄕㄡ4",
+ "ㄉㄠ4"
+ ],
+ "濥": [
+ "ㄧㄣ3"
+ ],
+ "濦": [
+ "ㄧㄣ3"
+ ],
+ "濧": [
+ "ㄉㄨㄟ4"
+ ],
+ "濨": [
+ "ㄘ2"
+ ],
+ "濩": [
+ "ㄏㄨㄛ4",
+ "ㄏㄨ4"
+ ],
+ "濪": [
+ "ㄑㄧㄥ4"
+ ],
+ "濫": [
+ "ㄌㄢ4",
+ "ㄐㄧㄢ4",
+ "ㄌㄢ3",
+ "ㄌㄢ2"
+ ],
+ "濬": [
+ "ㄐㄩㄣ4",
+ "ㄒㄩㄣ4"
+ ],
+ "濭": [
+ "ㄞ3",
+ "ㄎㄞ4",
+ "ㄎㄜ4"
+ ],
+ "濮": [
+ "ㄆㄨ2"
+ ],
+ "濯": [
+ "ㄓㄨㄛ2",
+ "ㄕㄨㄛ4",
+ "ㄓㄠ4"
+ ],
+ "濰": [
+ "ㄨㄟ2"
+ ],
+ "濱": [
+ "ㄅㄧㄣ1"
+ ],
+ "濲": [
+ "ㄍㄨ3"
+ ],
+ "濳": [
+ "ㄑㄧㄢ2"
+ ],
+ "濴": [
+ "ㄧㄥ2"
+ ],
+ "濵": [
+ "ㄅㄧㄣ1"
+ ],
+ "濶": [
+ "ㄎㄨㄛ4"
+ ],
+ "濷": [
+ "ㄈㄟ4"
+ ],
+ "濸": [
+ "ㄘㄤ1"
+ ],
+ "濹": [
+ "ㄇㄜ5"
+ ],
+ "濺": [
+ "ㄐㄧㄢ4",
+ "ㄐㄧㄢ1",
+ "ㄗㄢ4"
+ ],
+ "濻": [
+ "ㄨㄟ3"
+ ],
+ "濼": [
+ "ㄌㄨㄛ4",
+ "ㄆㄛ1",
+ "ㄌㄧ4"
+ ],
+ "濽": [
+ "ㄗㄢ4"
+ ],
+ "濾": [
+ "ㄌㄩ4"
+ ],
+ "濿": [
+ "ㄌㄧ4"
+ ],
+ "瀀": [
+ "ㄧㄡ1"
+ ],
+ "瀁": [
+ "ㄧㄤ4",
+ "ㄧㄤ3"
+ ],
+ "瀂": [
+ "ㄌㄨ3"
+ ],
+ "瀃": [
+ "ㄙ4"
+ ],
+ "瀄": [
+ "ㄓ4"
+ ],
+ "瀅": [
+ "ㄧㄥ2",
+ "ㄧㄥ4",
+ "ㄐㄩㄥ1"
+ ],
+ "瀆": [
+ "ㄉㄨ2",
+ "ㄉㄡ4"
+ ],
+ "瀇": [
+ "ㄨㄤ3",
+ "ㄨㄤ1"
+ ],
+ "瀈": [
+ "ㄏㄨㄟ1"
+ ],
+ "瀉": [
+ "ㄒㄧㄝ4"
+ ],
+ "瀊": [
+ "ㄆㄢ2"
+ ],
+ "瀋": [
+ "ㄕㄣ3",
+ "ㄔㄣ4",
+ "ㄆㄢ2"
+ ],
+ "瀌": [
+ "ㄅㄧㄠ1"
+ ],
+ "瀍": [
+ "ㄔㄢ2"
+ ],
+ "瀎": [
+ "ㄇㄛ4",
+ "ㄇㄧㄝ4"
+ ],
+ "瀏": [
+ "ㄌㄧㄡ2",
+ "ㄌㄧㄡ1"
+ ],
+ "瀐": [
+ "ㄐㄧㄢ1"
+ ],
+ "瀑": [
+ "ㄆㄨ4",
+ "ㄅㄠ4",
+ "ㄅㄛ2"
+ ],
+ "瀒": [
+ "ㄙㄜ4"
+ ],
+ "瀓": [
+ "ㄔㄥ2"
+ ],
+ "瀔": [
+ "ㄍㄨ3"
+ ],
+ "瀕": [
+ "ㄅㄧㄣ1"
+ ],
+ "瀖": [
+ "ㄏㄨㄛ4"
+ ],
+ "瀗": [
+ "ㄒㄧㄢ4"
+ ],
+ "瀘": [
+ "ㄌㄨ2"
+ ],
+ "瀙": [
+ "ㄑㄧㄣ4"
+ ],
+ "瀚": [
+ "ㄏㄢ4"
+ ],
+ "瀛": [
+ "ㄧㄥ2"
+ ],
+ "瀜": [
+ "ㄖㄨㄥ2"
+ ],
+ "瀝": [
+ "ㄌㄧ4"
+ ],
+ "瀞": [
+ "ㄐㄧㄥ4"
+ ],
+ "瀟": [
+ "ㄒㄧㄠ1"
+ ],
+ "瀠": [
+ "ㄧㄥ2"
+ ],
+ "瀡": [
+ "ㄙㄨㄟ3"
+ ],
+ "瀢": [
+ "ㄨㄟ3",
+ "ㄉㄨㄟ4"
+ ],
+ "瀣": [
+ "ㄒㄧㄝ4"
+ ],
+ "瀤": [
+ "ㄏㄨㄞ2",
+ "ㄨㄞ1"
+ ],
+ "瀥": [
+ "ㄒㄩㄝ4"
+ ],
+ "瀦": [
+ "ㄓㄨ1"
+ ],
+ "瀧": [
+ "ㄌㄨㄥ2",
+ "ㄕㄨㄤ1"
+ ],
+ "瀨": [
+ "ㄌㄞ4"
+ ],
+ "瀩": [
+ "ㄉㄨㄟ4"
+ ],
+ "瀪": [
+ "ㄈㄢ2"
+ ],
+ "瀫": [
+ "ㄏㄨ2"
+ ],
+ "瀬": [
+ "ㄌㄞ4"
+ ],
+ "瀭": [
+ "ㄕㄨ1"
+ ],
+ "瀮": [
+ "ㄌㄧㄥ5"
+ ],
+ "瀯": [
+ "ㄧㄥ2"
+ ],
+ "瀰": [
+ "ㄇㄧ2",
+ "ㄇㄧ3",
+ "ㄋㄧ3"
+ ],
+ "瀱": [
+ "ㄐㄧ4"
+ ],
+ "瀲": [
+ "ㄌㄧㄢ4"
+ ],
+ "瀳": [
+ "ㄐㄧㄢ4",
+ "ㄗㄨㄣ4"
+ ],
+ "瀴": [
+ "ㄧㄥ2",
+ "ㄧㄥ3",
+ "ㄧㄥ4"
+ ],
+ "瀵": [
+ "ㄈㄣ4"
+ ],
+ "瀶": [
+ "ㄌㄧㄣ2"
+ ],
+ "瀷": [
+ "ㄧ4"
+ ],
+ "瀸": [
+ "ㄐㄧㄢ1"
+ ],
+ "瀹": [
+ "ㄩㄝ4",
+ "ㄧㄠ4"
+ ],
+ "瀺": [
+ "ㄔㄢ2"
+ ],
+ "瀻": [
+ "ㄉㄞ4"
+ ],
+ "瀼": [
+ "ㄖㄤ2",
+ "ㄖㄤ4",
+ "ㄋㄤ3"
+ ],
+ "瀽": [
+ "ㄐㄧㄢ3"
+ ],
+ "瀾": [
+ "ㄌㄢ2"
+ ],
+ "瀿": [
+ "ㄈㄢ2"
+ ],
+ "灀": [
+ "ㄕㄨㄤ4"
+ ],
+ "灁": [
+ "ㄩㄢ1"
+ ],
+ "灂": [
+ "ㄓㄨㄛ2",
+ "ㄗㄜ2",
+ "ㄐㄧㄠ4"
+ ],
+ "灃": [
+ "ㄈㄥ1"
+ ],
+ "灄": [
+ "ㄕㄜ4",
+ "ㄋㄧ4"
+ ],
+ "灅": [
+ "ㄌㄟ3"
+ ],
+ "灆": [
+ "ㄌㄢ2"
+ ],
+ "灇": [
+ "ㄘㄨㄥ2"
+ ],
+ "灈": [
+ "ㄑㄩ2"
+ ],
+ "灉": [
+ "ㄩㄥ1"
+ ],
+ "灊": [
+ "ㄑㄧㄢ2"
+ ],
+ "灋": [
+ "ㄈㄚ3"
+ ],
+ "灌": [
+ "ㄍㄨㄢ4",
+ "ㄏㄨㄢ4"
+ ],
+ "灍": [
+ "ㄐㄩㄝ2"
+ ],
+ "灎": [
+ "ㄧㄢ4"
+ ],
+ "灏": [
+ "ㄏㄠ4"
+ ],
+ "灐": [
+ "ㄧㄥ2"
+ ],
+ "灑": [
+ "ㄙㄚ3",
+ "ㄒㄧㄢ3",
+ "ㄒㄧ3",
+ "ㄌㄧ2",
+ "ㄕ1"
+ ],
+ "灒": [
+ "ㄗㄢ4",
+ "ㄘㄨㄢ2",
+ "ㄑㄧㄢ2",
+ "ㄗㄚ1"
+ ],
+ "灓": [
+ "ㄌㄨㄢ2",
+ "ㄌㄨㄢ4"
+ ],
+ "灔": [
+ "ㄧㄢ4"
+ ],
+ "灕": [
+ "ㄌㄧ2"
+ ],
+ "灖": [
+ "ㄇㄧ3"
+ ],
+ "灗": [
+ "ㄕㄢ4"
+ ],
+ "灘": [
+ "ㄊㄢ1",
+ "ㄏㄢ4",
+ "ㄋㄢ4"
+ ],
+ "灙": [
+ "ㄉㄤ3"
+ ],
+ "灚": [
+ "ㄐㄧㄠ3"
+ ],
+ "灛": [
+ "ㄔㄢ3"
+ ],
+ "灜": [
+ "ㄧㄥ2"
+ ],
+ "灝": [
+ "ㄏㄠ4"
+ ],
+ "灞": [
+ "ㄅㄚ4"
+ ],
+ "灟": [
+ "ㄓㄨ2"
+ ],
+ "灠": [
+ "ㄌㄢ3",
+ "ㄌㄢ4"
+ ],
+ "灡": [
+ "ㄌㄢ2"
+ ],
+ "灢": [
+ "ㄋㄤ3"
+ ],
+ "灣": [
+ "ㄨㄢ1"
+ ],
+ "灤": [
+ "ㄌㄨㄢ2"
+ ],
+ "灥": [
+ "ㄒㄩㄣ2",
+ "ㄑㄩㄢ2",
+ "ㄑㄩㄢ4"
+ ],
+ "灦": [
+ "ㄒㄧㄢ3"
+ ],
+ "灧": [
+ "ㄧㄢ4"
+ ],
+ "灨": [
+ "ㄍㄢ4"
+ ],
+ "灩": [
+ "ㄧㄢ4"
+ ],
+ "灪": [
+ "ㄩ4"
+ ],
+ "火": [
+ "ㄏㄨㄛ3",
+ "ㄏㄨㄛ1"
+ ],
+ "灬": [
+ "ㄅㄧㄠ1",
+ "ㄏㄨㄛ3"
+ ],
+ "灭": [
+ "ㄇㄧㄝ4"
+ ],
+ "灮": [
+ "ㄍㄨㄤ1"
+ ],
+ "灯": [
+ "ㄉㄥ1",
+ "ㄉㄧㄥ1"
+ ],
+ "灰": [
+ "ㄏㄨㄟ1"
+ ],
+ "灱": [
+ "ㄒㄧㄠ1"
+ ],
+ "灲": [
+ "ㄒㄧㄠ1"
+ ],
+ "灳": [
+ "ㄏㄨㄟ1"
+ ],
+ "灴": [
+ "ㄏㄨㄥ1"
+ ],
+ "灵": [
+ "ㄌㄧㄥ2"
+ ],
+ "灶": [
+ "ㄗㄠ4"
+ ],
+ "灷": [
+ "ㄓㄨㄢ4"
+ ],
+ "灸": [
+ "ㄐㄧㄡ3"
+ ],
+ "灹": [
+ "ㄓㄚ4",
+ "ㄩ4"
+ ],
+ "灺": [
+ "ㄒㄧㄝ4"
+ ],
+ "灻": [
+ "ㄔ4"
+ ],
+ "灼": [
+ "ㄓㄨㄛ2"
+ ],
+ "災": [
+ "ㄗㄞ1"
+ ],
+ "灾": [
+ "ㄗㄞ1"
+ ],
+ "灿": [
+ "ㄘㄢ4"
+ ],
+ "炀": [
+ "ㄧㄤ2"
+ ],
+ "炁": [
+ "ㄑㄧ4"
+ ],
+ "炂": [
+ "ㄓㄨㄥ1"
+ ],
+ "炃": [
+ "ㄈㄣ2",
+ "ㄅㄣ4"
+ ],
+ "炄": [
+ "ㄋㄧㄡ3"
+ ],
+ "炅": [
+ "ㄐㄩㄥ3",
+ "ㄍㄨㄟ4"
+ ],
+ "炆": [
+ "ㄨㄣ2"
+ ],
+ "炇": [
+ "ㄆㄨ1"
+ ],
+ "炈": [
+ "ㄧ4"
+ ],
+ "炉": [
+ "ㄌㄨ2"
+ ],
+ "炊": [
+ "ㄔㄨㄟ1"
+ ],
+ "炋": [
+ "ㄆㄧ1"
+ ],
+ "炌": [
+ "ㄎㄞ4"
+ ],
+ "炍": [
+ "ㄆㄢ4"
+ ],
+ "炎": [
+ "ㄧㄢ2",
+ "ㄧㄢ4",
+ "ㄊㄢ2"
+ ],
+ "炏": [
+ "ㄎㄞ4",
+ "ㄧㄢ2"
+ ],
+ "炐": [
+ "ㄆㄤ4",
+ "ㄈㄥ1"
+ ],
+ "炑": [
+ "ㄇㄨ4"
+ ],
+ "炒": [
+ "ㄔㄠ3"
+ ],
+ "炓": [
+ "ㄌㄧㄠ4"
+ ],
+ "炔": [
+ "ㄍㄨㄟ4",
+ "ㄑㄩㄝ1",
+ "ㄒㄩㄝ4"
+ ],
+ "炕": [
+ "ㄎㄤ4",
+ "ㄏㄤ1"
+ ],
+ "炖": [
+ "ㄉㄨㄣ4",
+ "ㄊㄨㄣ2"
+ ],
+ "炗": [
+ "ㄍㄨㄤ1"
+ ],
+ "炘": [
+ "ㄒㄧㄣ1"
+ ],
+ "炙": [
+ "ㄓ4"
+ ],
+ "炚": [
+ "ㄍㄨㄤ1"
+ ],
+ "炛": [
+ "ㄍㄨㄤ1"
+ ],
+ "炜": [
+ "ㄨㄟ3"
+ ],
+ "炝": [
+ "ㄑㄧㄤ4"
+ ],
+ "炞": [
+ "ㄅㄧㄢ5"
+ ],
+ "炟": [
+ "ㄉㄚ2"
+ ],
+ "炠": [
+ "ㄒㄧㄚ2"
+ ],
+ "炡": [
+ "ㄓㄥ1"
+ ],
+ "炢": [
+ "ㄓㄨ2"
+ ],
+ "炣": [
+ "ㄎㄜ3"
+ ],
+ "炤": [
+ "ㄓㄠ4",
+ "ㄓㄠ1",
+ "ㄓㄠ3"
+ ],
+ "炥": [
+ "ㄈㄨ2"
+ ],
+ "炦": [
+ "ㄅㄚ2"
+ ],
+ "炧": [
+ "ㄒㄧㄝ4"
+ ],
+ "炨": [
+ "ㄒㄧㄝ4"
+ ],
+ "炩": [
+ "ㄌㄧㄥ4"
+ ],
+ "炪": [
+ "ㄓㄨㄛ1",
+ "ㄔㄨ4"
+ ],
+ "炫": [
+ "ㄒㄩㄢ4"
+ ],
+ "炬": [
+ "ㄐㄩ4"
+ ],
+ "炭": [
+ "ㄊㄢ4"
+ ],
+ "炮": [
+ "ㄆㄠ4",
+ "ㄅㄠ1",
+ "ㄆㄠ2"
+ ],
+ "炯": [
+ "ㄐㄩㄥ3"
+ ],
+ "炰": [
+ "ㄆㄠ2",
+ "ㄈㄡ3"
+ ],
+ "炱": [
+ "ㄊㄞ2"
+ ],
+ "炲": [
+ "ㄊㄞ2"
+ ],
+ "炳": [
+ "ㄅㄧㄥ3"
+ ],
+ "炴": [
+ "ㄧㄤ3"
+ ],
+ "炵": [
+ "ㄊㄨㄥ1"
+ ],
+ "炶": [
+ "ㄕㄢ3"
+ ],
+ "炷": [
+ "ㄓㄨ4"
+ ],
+ "炸": [
+ "ㄓㄚ4",
+ "ㄓㄚ2"
+ ],
+ "点": [
+ "ㄉㄧㄢ3"
+ ],
+ "為": [
+ "ㄨㄟ4",
+ "ㄨㄟ2"
+ ],
+ "炻": [
+ "ㄕ2"
+ ],
+ "炼": [
+ "ㄌㄧㄢ4"
+ ],
+ "炽": [
+ "ㄔ4"
+ ],
+ "炾": [
+ "ㄏㄨㄤ3"
+ ],
+ "炿": [
+ "ㄓㄡ1"
+ ],
+ "烀": [
+ "ㄏㄨ1"
+ ],
+ "烁": [
+ "ㄕㄨㄛ4"
+ ],
+ "烂": [
+ "ㄌㄢ4"
+ ],
+ "烃": [
+ "ㄊㄧㄥ1"
+ ],
+ "烄": [
+ "ㄐㄧㄠ3",
+ "ㄧㄠ4"
+ ],
+ "烅": [
+ "ㄒㄩ4"
+ ],
+ "烆": [
+ "ㄏㄥ2"
+ ],
+ "烇": [
+ "ㄑㄩㄢ3"
+ ],
+ "烈": [
+ "ㄌㄧㄝ4"
+ ],
+ "烉": [
+ "ㄏㄨㄢ4"
+ ],
+ "烊": [
+ "ㄧㄤ2",
+ "ㄧㄤ4"
+ ],
+ "烋": [
+ "ㄒㄧㄡ1",
+ "ㄒㄧㄠ1"
+ ],
+ "烌": [
+ "ㄒㄧㄡ1"
+ ],
+ "烍": [
+ "ㄒㄧㄢ3"
+ ],
+ "烎": [
+ "ㄧㄣ2"
+ ],
+ "烏": [
+ "ㄨ1",
+ "ㄧㄚ1",
+ "ㄨ4"
+ ],
+ "烐": [
+ "ㄓㄡ1"
+ ],
+ "烑": [
+ "ㄧㄠ2"
+ ],
+ "烒": [
+ "ㄕ4"
+ ],
+ "烓": [
+ "ㄨㄟ1"
+ ],
+ "烔": [
+ "ㄊㄨㄥ2",
+ "ㄉㄨㄥ4"
+ ],
+ "烕": [
+ "ㄇㄧㄝ4"
+ ],
+ "烖": [
+ "ㄗㄞ1"
+ ],
+ "烗": [
+ "ㄎㄞ4"
+ ],
+ "烘": [
+ "ㄏㄨㄥ1"
+ ],
+ "烙": [
+ "ㄌㄠ4",
+ "ㄌㄨㄛ4"
+ ],
+ "烚": [
+ "ㄒㄧㄚ2"
+ ],
+ "烛": [
+ "ㄓㄨ2",
+ "ㄔㄨㄥ2"
+ ],
+ "烜": [
+ "ㄒㄩㄢ3",
+ "ㄒㄩㄢ1",
+ "ㄏㄨㄟ3"
+ ],
+ "烝": [
+ "ㄓㄥ1"
+ ],
+ "烞": [
+ "ㄆㄛ4"
+ ],
+ "烟": [
+ "ㄧㄢ1",
+ "ㄧㄣ1"
+ ],
+ "烠": [
+ "ㄏㄨㄟ2",
+ "ㄏㄨㄟ3",
+ "ㄞ3"
+ ],
+ "烡": [
+ "ㄍㄨㄤ1"
+ ],
+ "烢": [
+ "ㄔㄜ4"
+ ],
+ "烣": [
+ "ㄏㄨㄟ1"
+ ],
+ "烤": [
+ "ㄎㄠ3"
+ ],
+ "烥": [
+ "ㄐㄩ4"
+ ],
+ "烦": [
+ "ㄈㄢ2"
+ ],
+ "烧": [
+ "ㄕㄠ1"
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+ "ㄔㄨㄛ4"
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+ "ㄧㄥ1",
+ "ㄍㄨ3"
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+ "ㄍㄨㄚ1"
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+ "ㄒㄧㄚ4"
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+ "ㄏㄨㄣ2",
+ "ㄩㄣ4",
+ "ㄒㄩㄣ1",
+ "ㄒㄩㄢ4"
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+ "ㄌㄢ4"
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+ "ㄐㄧㄢ4",
+ "ㄐㄧㄢ3"
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+ "ㄏㄨㄟ1"
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+ "ㄑㄧㄢ2",
+ "ㄕㄢ1"
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+ "ㄒㄩㄢ1"
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+ "ㄕㄚ4"
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+ "ㄧㄝ4"
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+ "ㄖㄡ3"
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+ "ㄒㄧㄡ1"
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+ "ㄩ4"
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+ "ㄧㄤ4"
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+ "ㄩㄣ4",
+ "ㄨㄣ3"
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+ "ㄔㄠ3"
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+ "ㄕㄢ1"
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+ "ㄩㄣ1"
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+ "ㄧㄝ4"
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+ "ㄒㄧㄠ1",
+ "ㄎㄠ3",
+ "ㄎㄠ4"
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+ "ㄒㄧ1"
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+ "ㄒㄩㄣ4"
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+ "ㄑㄧㄢ1"
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+ "ㄒㄧㄥ2",
+ "ㄐㄩㄥ3"
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+ "熔": [
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+ "ㄧㄢ4"
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+ "ㄑㄧㄤ4"
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+ "熘": [
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+ "ㄧ2"
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+ "熚": [
+ "ㄅㄧ4"
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+ "熛": [
+ "ㄅㄧㄠ1"
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+ "熜": [
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+ "ㄗㄨㄥ3"
+ ],
+ "熝": [
+ "ㄌㄨ4",
+ "ㄠ1"
+ ],
+ "熞": [
+ "ㄐㄧㄢ1"
+ ],
+ "熟": [
+ "ㄕㄨ2",
+ "ㄕㄡ2"
+ ],
+ "熠": [
+ "ㄧ4"
+ ],
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+ "ㄌㄡ2"
+ ],
+ "熢": [
+ "ㄆㄥ2",
+ "ㄅㄥ4",
+ "ㄈㄥ1"
+ ],
+ "熣": [
+ "ㄙㄨㄟ1",
+ "ㄘㄨㄟ3"
+ ],
+ "熤": [
+ "ㄧ4"
+ ],
+ "熥": [
+ "ㄊㄥ1",
+ "ㄊㄨㄥ1"
+ ],
+ "熦": [
+ "ㄐㄩㄝ2"
+ ],
+ "熧": [
+ "ㄗㄨㄥ1"
+ ],
+ "熨": [
+ "ㄩㄣ4",
+ "ㄩ4",
+ "ㄨㄟ4"
+ ],
+ "熩": [
+ "ㄏㄨ4"
+ ],
+ "熪": [
+ "ㄧ2"
+ ],
+ "熫": [
+ "ㄓ4"
+ ],
+ "熬": [
+ "ㄠ2",
+ "ㄠ1"
+ ],
+ "熭": [
+ "ㄨㄟ4"
+ ],
+ "熮": [
+ "ㄌㄧㄡ3"
+ ],
+ "熯": [
+ "ㄏㄢ4",
+ "ㄖㄢ3"
+ ],
+ "熰": [
+ "ㄡ1",
+ "ㄡ4"
+ ],
+ "熱": [
+ "ㄖㄜ4"
+ ],
+ "熲": [
+ "ㄐㄩㄥ3"
+ ],
+ "熳": [
+ "ㄇㄢ4"
+ ],
+ "熴": [
+ "ㄎㄨㄣ1"
+ ],
+ "熵": [
+ "ㄕㄤ1"
+ ],
+ "熶": [
+ "ㄘㄨㄢ4"
+ ],
+ "熷": [
+ "ㄗㄥ1"
+ ],
+ "熸": [
+ "ㄐㄧㄢ1"
+ ],
+ "熹": [
+ "ㄒㄧ1"
+ ],
+ "熺": [
+ "ㄒㄧ1"
+ ],
+ "熻": [
+ "ㄒㄧ1"
+ ],
+ "熼": [
+ "ㄧ4"
+ ],
+ "熽": [
+ "ㄒㄧㄠ4"
+ ],
+ "熾": [
+ "ㄔ4"
+ ],
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+ "ㄏㄨㄤ2",
+ "ㄏㄨㄤ3"
+ ],
+ "燀": [
+ "ㄔㄢ3",
+ "ㄉㄢ3",
+ "ㄔㄢ4"
+ ],
+ "燁": [
+ "ㄧㄝ4"
+ ],
+ "燂": [
+ "ㄊㄢ2",
+ "ㄒㄩㄣ2",
+ "ㄑㄧㄢ2"
+ ],
+ "燃": [
+ "ㄖㄢ2"
+ ],
+ "燄": [
+ "ㄧㄢ4"
+ ],
+ "燅": [
+ "ㄒㄩㄣ2"
+ ],
+ "燆": [
+ "ㄑㄧㄠ1",
+ "ㄒㄧㄠ1"
+ ],
+ "燇": [
+ "ㄐㄩㄣ4"
+ ],
+ "燈": [
+ "ㄉㄥ1"
+ ],
+ "燉": [
+ "ㄉㄨㄣ4",
+ "ㄊㄨㄣ2",
+ "ㄉㄨㄣ1"
+ ],
+ "燊": [
+ "ㄕㄣ1"
+ ],
+ "燋": [
+ "ㄐㄧㄠ1",
+ "ㄑㄧㄠ2",
+ "ㄐㄩㄝ2",
+ "ㄓㄨㄛ2"
+ ],
+ "燌": [
+ "ㄈㄣ2",
+ "ㄅㄣ4"
+ ],
+ "燍": [
+ "ㄙ1",
+ "ㄒㄧ1"
+ ],
+ "燎": [
+ "ㄌㄧㄠ2",
+ "ㄌㄧㄠ3",
+ "ㄌㄧㄠ4"
+ ],
+ "燏": [
+ "ㄩ4"
+ ],
+ "燐": [
+ "ㄌㄧㄣ2"
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+ "燑": [
+ "ㄊㄨㄥ2"
+ ],
+ "燒": [
+ "ㄕㄠ1",
+ "ㄕㄠ4"
+ ],
+ "燓": [
+ "ㄈㄣ2"
+ ],
+ "燔": [
+ "ㄈㄢ2",
+ "ㄈㄣ2"
+ ],
+ "燕": [
+ "ㄧㄢ4",
+ "ㄧㄢ1"
+ ],
+ "燖": [
+ "ㄒㄩㄣ2",
+ "ㄑㄧㄢ2"
+ ],
+ "燗": [
+ "ㄌㄢ4"
+ ],
+ "燘": [
+ "ㄇㄟ3"
+ ],
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+ "ㄊㄤ4",
+ "ㄉㄤ4"
+ ],
+ "燚": [
+ "ㄧ4"
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+ "燛": [
+ "ㄐㄩㄥ3"
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+ "燜": [
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+ "燝": [
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+ "燞": [
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+ "營": [
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+ "ㄘㄨㄛ1"
+ ],
+ "燠": [
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+ "ㄠ4"
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+ "燡": [
+ "ㄧ4"
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+ "燣": [
+ "ㄌㄢ2"
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+ "燤": [
+ "ㄊㄞ4",
+ "ㄌㄧㄝ4"
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+ "燥": [
+ "ㄗㄠ4",
+ "ㄙㄠ4"
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+ "燦": [
+ "ㄘㄢ4"
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+ "燧": [
+ "ㄙㄨㄟ4"
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+ "燨": [
+ "ㄒㄧ1"
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+ "燩": [
+ "ㄑㄩㄝ4"
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+ "燪": [
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+ ],
+ "燫": [
+ "ㄌㄧㄢ2"
+ ],
+ "燬": [
+ "ㄏㄨㄟ3"
+ ],
+ "燭": [
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+ "ㄎㄨㄛ4"
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+ "燮": [
+ "ㄒㄧㄝ4"
+ ],
+ "燯": [
+ "ㄌㄧㄥ2"
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+ "燰": [
+ "ㄨㄟ1"
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+ "燱": [
+ "ㄧ4"
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+ "燲": [
+ "ㄒㄧㄝ2"
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+ "燳": [
+ "ㄓㄠ4"
+ ],
+ "燴": [
+ "ㄏㄨㄟ4"
+ ],
+ "燵": [
+ "ㄉㄚ2"
+ ],
+ "燶": [
+ "ㄋㄨㄥ2"
+ ],
+ "燷": [
+ "ㄌㄢ2"
+ ],
+ "燸": [
+ "ㄖㄨ2",
+ "ㄖㄨㄢ3"
+ ],
+ "燹": [
+ "ㄒㄧㄢ3",
+ "ㄅㄧㄥ4"
+ ],
+ "燺": [
+ "ㄏㄜ4"
+ ],
+ "燻": [
+ "ㄒㄩㄣ1"
+ ],
+ "燼": [
+ "ㄐㄧㄣ4"
+ ],
+ "燽": [
+ "ㄔㄡ2"
+ ],
+ "燾": [
+ "ㄉㄠ4",
+ "ㄊㄠ1"
+ ],
+ "燿": [
+ "ㄧㄠ4",
+ "ㄕㄨㄛ4",
+ "ㄕㄠ4"
+ ],
+ "爀": [
+ "ㄏㄜ4"
+ ],
+ "爁": [
+ "ㄌㄢ4"
+ ],
+ "爂": [
+ "ㄅㄧㄠ1"
+ ],
+ "爃": [
+ "ㄖㄨㄥ2"
+ ],
+ "爄": [
+ "ㄌㄧ4",
+ "ㄌㄧㄝ4"
+ ],
+ "爅": [
+ "ㄇㄛ4"
+ ],
+ "爆": [
+ "ㄅㄠ4",
+ "ㄅㄛ2"
+ ],
+ "爇": [
+ "ㄖㄨㄛ4"
+ ],
+ "爈": [
+ "ㄌㄩ4"
+ ],
+ "爉": [
+ "ㄌㄚ4",
+ "ㄌㄧㄝ4"
+ ],
+ "爊": [
+ "ㄠ1"
+ ],
+ "爋": [
+ "ㄒㄩㄣ1"
+ ],
+ "爌": [
+ "ㄎㄨㄤ4",
+ "ㄏㄨㄤ3",
+ "ㄎㄨㄤ3"
+ ],
+ "爍": [
+ "ㄕㄨㄛ4",
+ "ㄌㄨㄛ4",
+ "ㄩㄝ4"
+ ],
+ "爎": [
+ "ㄌㄧㄠ2"
+ ],
+ "爏": [
+ "ㄌㄧ4"
+ ],
+ "爐": [
+ "ㄌㄨ2"
+ ],
+ "爑": [
+ "ㄐㄩㄝ2"
+ ],
+ "爒": [
+ "ㄌㄧㄠ3"
+ ],
+ "爓": [
+ "ㄧㄢ4",
+ "ㄒㄩㄣ2"
+ ],
+ "爔": [
+ "ㄒㄧ1"
+ ],
+ "爕": [
+ "ㄒㄧㄝ4"
+ ],
+ "爖": [
+ "ㄌㄨㄥ2"
+ ],
+ "爗": [
+ "ㄧㄝ4"
+ ],
+ "爘": [
+ "ㄘㄢ1"
+ ],
+ "爙": [
+ "ㄖㄤ3"
+ ],
+ "爚": [
+ "ㄩㄝ4"
+ ],
+ "爛": [
+ "ㄌㄢ4"
+ ],
+ "爜": [
+ "ㄘㄨㄥ2"
+ ],
+ "爝": [
+ "ㄐㄩㄝ2",
+ "ㄐㄧㄠ4"
+ ],
+ "爞": [
+ "ㄔㄨㄥ2",
+ "ㄊㄨㄥ2"
+ ],
+ "爟": [
+ "ㄍㄨㄢ4"
+ ],
+ "爠": [
+ "ㄐㄩ5"
+ ],
+ "爡": [
+ "ㄔㄜ4"
+ ],
+ "爢": [
+ "ㄇㄧ2"
+ ],
+ "爣": [
+ "ㄊㄤ3"
+ ],
+ "爤": [
+ "ㄌㄢ4"
+ ],
+ "爥": [
+ "ㄓㄨ2"
+ ],
+ "爦": [
+ "ㄌㄢ3"
+ ],
+ "爧": [
+ "ㄌㄧㄥ2"
+ ],
+ "爨": [
+ "ㄘㄨㄢ4"
+ ],
+ "爩": [
+ "ㄩ4"
+ ],
+ "爪": [
+ "ㄓㄠ3",
+ "ㄓㄨㄚ3"
+ ],
+ "爫": [
+ "ㄓㄠ3"
+ ],
+ "爬": [
+ "ㄆㄚ2"
+ ],
+ "爭": [
+ "ㄓㄥ1",
+ "ㄓㄥ4"
+ ],
+ "爮": [
+ "ㄆㄠ2"
+ ],
+ "爯": [
+ "ㄔㄥ1",
+ "ㄔㄥ4"
+ ],
+ "爰": [
+ "ㄩㄢ2"
+ ],
+ "爱": [
+ "ㄞ4"
+ ],
+ "爲": [
+ "ㄨㄟ4",
+ "ㄨㄟ2"
+ ],
+ "爳": [
+ "ㄏㄢ5"
+ ],
+ "爴": [
+ "ㄐㄩㄝ2"
+ ],
+ "爵": [
+ "ㄐㄩㄝ2"
+ ],
+ "父": [
+ "ㄈㄨ4",
+ "ㄈㄨ3"
+ ],
+ "爷": [
+ "ㄧㄝ2"
+ ],
+ "爸": [
+ "ㄅㄚ4"
+ ],
+ "爹": [
+ "ㄉㄧㄝ1"
+ ],
+ "爺": [
+ "ㄧㄝ2"
+ ],
+ "爻": [
+ "ㄧㄠ2",
+ "ㄒㄧㄠ4"
+ ],
+ "爼": [
+ "ㄗㄨ3"
+ ],
+ "爽": [
+ "ㄕㄨㄤ3",
+ "ㄕㄨㄤ1"
+ ],
+ "爾": [
+ "ㄦ3",
+ "ㄇㄧ3",
+ "ㄋㄧ3"
+ ],
+ "爿": [
+ "ㄆㄢ2",
+ "ㄑㄧㄤ2"
+ ],
+ "牀": [
+ "ㄔㄨㄤ2"
+ ],
+ "牁": [
+ "ㄎㄜ1"
+ ],
+ "牂": [
+ "ㄗㄤ1"
+ ],
+ "牃": [
+ "ㄉㄧㄝ2"
+ ],
+ "牄": [
+ "ㄑㄧㄤ1"
+ ],
+ "牅": [
+ "ㄩㄥ1"
+ ],
+ "牆": [
+ "ㄑㄧㄤ2"
+ ],
+ "片": [
+ "ㄆㄧㄢ4",
+ "ㄆㄧㄢ1",
+ "ㄆㄢ4"
+ ],
+ "版": [
+ "ㄅㄢ3"
+ ],
+ "牉": [
+ "ㄆㄢ4"
+ ],
+ "牊": [
+ "ㄔㄠ2"
+ ],
+ "牋": [
+ "ㄐㄧㄢ1"
+ ],
+ "牌": [
+ "ㄆㄞ2"
+ ],
+ "牍": [
+ "ㄉㄨ2"
+ ],
+ "牎": [
+ "ㄔㄨㄤ1"
+ ],
+ "牏": [
+ "ㄩ2"
+ ],
+ "牐": [
+ "ㄓㄚ2"
+ ],
+ "牑": [
+ "ㄅㄧㄢ1",
+ "ㄇㄧㄢ4"
+ ],
+ "牒": [
+ "ㄉㄧㄝ2"
+ ],
+ "牓": [
+ "ㄅㄤ3",
+ "ㄆㄤ1"
+ ],
+ "牔": [
+ "ㄅㄛ2"
+ ],
+ "牕": [
+ "ㄔㄨㄤ1"
+ ],
+ "牖": [
+ "ㄧㄡ3"
+ ],
+ "牗": [
+ "ㄧㄡ3"
+ ],
+ "牘": [
+ "ㄉㄨ2"
+ ],
+ "牙": [
+ "ㄧㄚ2",
+ "ㄧㄚ4"
+ ],
+ "牚": [
+ "ㄔㄥ1",
+ "ㄔㄥ4"
+ ],
+ "牛": [
+ "ㄋㄧㄡ2"
+ ],
+ "牜": [
+ "ㄋㄧㄡ2"
+ ],
+ "牝": [
+ "ㄆㄧㄣ4"
+ ],
+ "牞": [
+ "ㄐㄧㄡ1",
+ "ㄌㄜ4"
+ ],
+ "牟": [
+ "ㄇㄡ2",
+ "ㄇㄨ4",
+ "ㄇㄠ4"
+ ],
+ "牠": [
+ "ㄊㄚ1",
+ "ㄊㄨㄛ2"
+ ],
+ "牡": [
+ "ㄇㄨ3"
+ ],
+ "牢": [
+ "ㄌㄠ2",
+ "ㄌㄠ4",
+ "ㄌㄡ2"
+ ],
+ "牣": [
+ "ㄖㄣ4"
+ ],
+ "牤": [
+ "ㄇㄤ1"
+ ],
+ "牥": [
+ "ㄈㄤ1"
+ ],
+ "牦": [
+ "ㄇㄠ2"
+ ],
+ "牧": [
+ "ㄇㄨ4"
+ ],
+ "牨": [
+ "ㄍㄤ1"
+ ],
+ "物": [
+ "ㄨ4"
+ ],
+ "牪": [
+ "ㄧㄢ4"
+ ],
+ "牫": [
+ "ㄍㄜ1",
+ "ㄑㄧㄡ2",
+ "ㄗㄤ1"
+ ],
+ "牬": [
+ "ㄅㄟ4"
+ ],
+ "牭": [
+ "ㄙ4"
+ ],
+ "牮": [
+ "ㄐㄧㄢ4"
+ ],
+ "牯": [
+ "ㄍㄨ3"
+ ],
+ "牰": [
+ "ㄧㄡ4",
+ "ㄔㄡ1"
+ ],
+ "牱": [
+ "ㄍㄜ1"
+ ],
+ "牲": [
+ "ㄕㄥ1"
+ ],
+ "牳": [
+ "ㄇㄨ3"
+ ],
+ "牴": [
+ "ㄉㄧ3",
+ "ㄉㄧ1",
+ "ㄓㄞ1"
+ ],
+ "牵": [
+ "ㄑㄧㄢ1"
+ ],
+ "牶": [
+ "ㄑㄩㄢ4"
+ ],
+ "牷": [
+ "ㄑㄩㄢ2"
+ ],
+ "牸": [
+ "ㄗ4"
+ ],
+ "特": [
+ "ㄊㄜ4"
+ ],
+ "牺": [
+ "ㄒㄧ1"
+ ],
+ "牻": [
+ "ㄇㄤ2"
+ ],
+ "牼": [
+ "ㄎㄥ1"
+ ],
+ "牽": [
+ "ㄑㄧㄢ1",
+ "ㄑㄧㄢ4"
+ ],
+ "牾": [
+ "ㄨ3",
+ "ㄨ2"
+ ],
+ "牿": [
+ "ㄍㄨ4"
+ ],
+ "犀": [
+ "ㄒㄧ1"
+ ],
+ "犁": [
+ "ㄌㄧ2"
+ ],
+ "犂": [
+ "ㄌㄧ2"
+ ],
+ "犃": [
+ "ㄆㄡ3"
+ ],
+ "犄": [
+ "ㄐㄧ1",
+ "ㄧ1"
+ ],
+ "犅": [
+ "ㄍㄤ1"
+ ],
+ "犆": [
+ "ㄓ2",
+ "ㄊㄜ4"
+ ],
+ "犇": [
+ "ㄅㄣ1"
+ ],
+ "犈": [
+ "ㄑㄩㄢ2"
+ ],
+ "犉": [
+ "ㄔㄨㄣ2"
+ ],
+ "犊": [
+ "ㄉㄨ2"
+ ],
+ "犋": [
+ "ㄐㄩ4"
+ ],
+ "犌": [
+ "ㄐㄧㄚ1"
+ ],
+ "犍": [
+ "ㄐㄧㄢ1",
+ "ㄑㄧㄢ2",
+ "ㄐㄧㄢ3"
+ ],
+ "犎": [
+ "ㄈㄥ1"
+ ],
+ "犏": [
+ "ㄆㄧㄢ1"
+ ],
+ "犐": [
+ "ㄎㄜ1"
+ ],
+ "犑": [
+ "ㄐㄩ2"
+ ],
+ "犒": [
+ "ㄎㄠ4"
+ ],
+ "犓": [
+ "ㄔㄨ2"
+ ],
+ "犔": [
+ "ㄒㄧ4"
+ ],
+ "犕": [
+ "ㄅㄟ4"
+ ],
+ "犖": [
+ "ㄌㄨㄛ4"
+ ],
+ "犗": [
+ "ㄐㄧㄝ4"
+ ],
+ "犘": [
+ "ㄇㄚ2"
+ ],
+ "犙": [
+ "ㄙㄢ1"
+ ],
+ "犚": [
+ "ㄨㄟ4"
+ ],
+ "犛": [
+ "ㄇㄠ2",
+ "ㄌㄧ2"
+ ],
+ "犜": [
+ "ㄉㄨㄣ1"
+ ],
+ "犝": [
+ "ㄊㄨㄥ2"
+ ],
+ "犞": [
+ "ㄑㄧㄠ2"
+ ],
+ "犟": [
+ "ㄐㄧㄤ4"
+ ],
+ "犠": [
+ "ㄒㄧ1"
+ ],
+ "犡": [
+ "ㄌㄧ4"
+ ],
+ "犢": [
+ "ㄉㄨ2"
+ ],
+ "犣": [
+ "ㄌㄧㄝ4"
+ ],
+ "犤": [
+ "ㄆㄞ2"
+ ],
+ "犥": [
+ "ㄆㄧㄠ1",
+ "ㄆㄠ4"
+ ],
+ "犦": [
+ "ㄅㄛ2"
+ ],
+ "犧": [
+ "ㄒㄧ1",
+ "ㄙㄨㄛ1"
+ ],
+ "犨": [
+ "ㄔㄡ1"
+ ],
+ "犩": [
+ "ㄨㄟ2"
+ ],
+ "犪": [
+ "ㄎㄨㄟ2",
+ "ㄖㄠ2"
+ ],
+ "犫": [
+ "ㄔㄡ1"
+ ],
+ "犬": [
+ "ㄑㄩㄢ3"
+ ],
+ "犭": [
+ "ㄑㄩㄢ3"
+ ],
+ "犮": [
+ "ㄅㄚ2"
+ ],
+ "犯": [
+ "ㄈㄢ4"
+ ],
+ "犰": [
+ "ㄑㄧㄡ2"
+ ],
+ "犱": [
+ "ㄐㄧ3"
+ ],
+ "犲": [
+ "ㄔㄞ2"
+ ],
+ "犳": [
+ "ㄓㄨㄛ2"
+ ],
+ "犴": [
+ "ㄢ4",
+ "ㄏㄢ1",
+ "ㄢ2",
+ "ㄐㄧㄢ4"
+ ],
+ "犵": [
+ "ㄍㄜ1",
+ "ㄏㄜ2"
+ ],
+ "状": [
+ "ㄓㄨㄤ4"
+ ],
+ "犷": [
+ "ㄍㄨㄤ3"
+ ],
+ "犸": [
+ "ㄇㄚ4",
+ "ㄇㄚ3"
+ ],
+ "犹": [
+ "ㄧㄡ2",
+ "ㄧㄡ4"
+ ],
+ "犺": [
+ "ㄎㄤ4",
+ "ㄍㄤ3"
+ ],
+ "犻": [
+ "ㄅㄛ2",
+ "ㄆㄟ4",
+ "ㄈㄟ4"
+ ],
+ "犼": [
+ "ㄏㄡ3"
+ ],
+ "犽": [
+ "ㄧㄚ4"
+ ],
+ "犾": [
+ "ㄧㄣ2"
+ ],
+ "犿": [
+ "ㄏㄨㄢ1",
+ "ㄈㄢ1"
+ ],
+ "狀": [
+ "ㄓㄨㄤ4"
+ ],
+ "狁": [
+ "ㄩㄣ3"
+ ],
+ "狂": [
+ "ㄎㄨㄤ2",
+ "ㄐㄩㄝ2"
+ ],
+ "狃": [
+ "ㄋㄧㄡ3",
+ "ㄋㄩ4"
+ ],
+ "狄": [
+ "ㄉㄧ2",
+ "ㄊㄧ4"
+ ],
+ "狅": [
+ "ㄎㄨㄤ2"
+ ],
+ "狆": [
+ "ㄓㄨㄥ4"
+ ],
+ "狇": [
+ "ㄇㄨ4"
+ ],
+ "狈": [
+ "ㄅㄟ4"
+ ],
+ "狉": [
+ "ㄆㄧ1"
+ ],
+ "狊": [
+ "ㄐㄩ2"
+ ],
+ "狋": [
+ "ㄧ2",
+ "ㄑㄩㄢ2",
+ "ㄔ2"
+ ],
+ "狌": [
+ "ㄕㄥ1",
+ "ㄒㄧㄥ1"
+ ],
+ "狍": [
+ "ㄆㄠ2"
+ ],
+ "狎": [
+ "ㄒㄧㄚ2"
+ ],
+ "狏": [
+ "ㄊㄨㄛ2",
+ "ㄧ2"
+ ],
+ "狐": [
+ "ㄏㄨ2"
+ ],
+ "狑": [
+ "ㄌㄧㄥ2"
+ ],
+ "狒": [
+ "ㄈㄟ4"
+ ],
+ "狓": [
+ "ㄆㄧ2",
+ "ㄆㄧ1"
+ ],
+ "狔": [
+ "ㄋㄧ3"
+ ],
+ "狕": [
+ "ㄧㄠ3"
+ ],
+ "狖": [
+ "ㄧㄡ4"
+ ],
+ "狗": [
+ "ㄍㄡ3"
+ ],
+ "狘": [
+ "ㄒㄩㄝ4"
+ ],
+ "狙": [
+ "ㄐㄩ1"
+ ],
+ "狚": [
+ "ㄉㄢ4"
+ ],
+ "狛": [
+ "ㄅㄛ2"
+ ],
+ "狜": [
+ "ㄎㄨ3"
+ ],
+ "狝": [
+ "ㄒㄧㄢ3"
+ ],
+ "狞": [
+ "ㄋㄧㄥ2"
+ ],
+ "狟": [
+ "ㄏㄨㄢ2",
+ "ㄒㄩㄢ1",
+ "ㄏㄥ2"
+ ],
+ "狠": [
+ "ㄏㄣ3",
+ "ㄧㄢ2",
+ "ㄎㄣ3",
+ "ㄏㄤ3"
+ ],
+ "狡": [
+ "ㄐㄧㄠ3",
+ "ㄒㄧㄠ4"
+ ],
+ "狢": [
+ "ㄏㄜ2",
+ "ㄇㄛ4"
+ ],
+ "狣": [
+ "ㄓㄠ4"
+ ],
+ "狤": [
+ "ㄐㄧ2",
+ "ㄐㄧㄝ2",
+ "ㄎㄨㄞ4"
+ ],
+ "狥": [
+ "ㄒㄩㄣ4"
+ ],
+ "狦": [
+ "ㄕㄢ1"
+ ],
+ "狧": [
+ "ㄊㄚ4",
+ "ㄕ4"
+ ],
+ "狨": [
+ "ㄖㄨㄥ2"
+ ],
+ "狩": [
+ "ㄕㄡ4"
+ ],
+ "狪": [
+ "ㄊㄨㄥ2",
+ "ㄉㄨㄥ4"
+ ],
+ "狫": [
+ "ㄌㄠ3"
+ ],
+ "独": [
+ "ㄉㄨ2"
+ ],
+ "狭": [
+ "ㄒㄧㄚ2"
+ ],
+ "狮": [
+ "ㄕ1"
+ ],
+ "狯": [
+ "ㄎㄨㄞ4"
+ ],
+ "狰": [
+ "ㄓㄥ1"
+ ],
+ "狱": [
+ "ㄩ4"
+ ],
+ "狲": [
+ "ㄙㄨㄣ1"
+ ],
+ "狳": [
+ "ㄩ2"
+ ],
+ "狴": [
+ "ㄅㄧ4"
+ ],
+ "狵": [
+ "ㄇㄤ2",
+ "ㄓㄨㄛ2"
+ ],
+ "狶": [
+ "ㄒㄧ1",
+ "ㄕ3"
+ ],
+ "狷": [
+ "ㄐㄩㄢ4"
+ ],
+ "狸": [
+ "ㄌㄧ2"
+ ],
+ "狹": [
+ "ㄒㄧㄚ2"
+ ],
+ "狺": [
+ "ㄧㄣ2"
+ ],
+ "狻": [
+ "ㄙㄨㄢ1",
+ "ㄒㄩㄣ4",
+ "ㄐㄩㄣ4"
+ ],
+ "狼": [
+ "ㄌㄤ2",
+ "ㄌㄤ3",
+ "ㄌㄤ4",
+ "ㄏㄤ3"
+ ],
+ "狽": [
+ "ㄅㄟ4"
+ ],
+ "狾": [
+ "ㄓ4"
+ ],
+ "狿": [
+ "ㄧㄢ2"
+ ],
+ "猀": [
+ "ㄕㄚ1"
+ ],
+ "猁": [
+ "ㄌㄧ4"
+ ],
+ "猂": [
+ "ㄏㄢ4"
+ ],
+ "猃": [
+ "ㄒㄧㄢ3"
+ ],
+ "猄": [
+ "ㄐㄧㄥ1"
+ ],
+ "猅": [
+ "ㄆㄞ2"
+ ],
+ "猆": [
+ "ㄈㄟ1"
+ ],
+ "猇": [
+ "ㄒㄧㄠ1"
+ ],
+ "猈": [
+ "ㄅㄞ4",
+ "ㄆㄧ2"
+ ],
+ "猉": [
+ "ㄑㄧ2"
+ ],
+ "猊": [
+ "ㄋㄧ2"
+ ],
+ "猋": [
+ "ㄅㄧㄠ1"
+ ],
+ "猌": [
+ "ㄧㄣ4"
+ ],
+ "猍": [
+ "ㄌㄞ2"
+ ],
+ "猎": [
+ "ㄌㄧㄝ4",
+ "ㄒㄧ1",
+ "ㄑㄩㄝ4"
+ ],
+ "猏": [
+ "ㄐㄧㄢ1"
+ ],
+ "猐": [
+ "ㄑㄧㄤ1"
+ ],
+ "猑": [
+ "ㄎㄨㄣ1"
+ ],
+ "猒": [
+ "ㄧㄢ4"
+ ],
+ "猓": [
+ "ㄍㄨㄛ3",
+ "ㄌㄨㄛ3"
+ ],
+ "猔": [
+ "ㄗㄨㄥ4"
+ ],
+ "猕": [
+ "ㄇㄧ2"
+ ],
+ "猖": [
+ "ㄔㄤ1"
+ ],
+ "猗": [
+ "ㄧ1",
+ "ㄧ3",
+ "ㄐㄧ4",
+ "ㄜ1",
+ "ㄨㄟ1"
+ ],
+ "猘": [
+ "ㄓ4"
+ ],
+ "猙": [
+ "ㄓㄥ1"
+ ],
+ "猚": [
+ "ㄧㄚ2",
+ "ㄨㄟ4"
+ ],
+ "猛": [
+ "ㄇㄥ3"
+ ],
+ "猜": [
+ "ㄘㄞ1"
+ ],
+ "猝": [
+ "ㄘㄨ4"
+ ],
+ "猞": [
+ "ㄕㄜ1"
+ ],
+ "猟": [
+ "ㄌㄧㄝ4"
+ ],
+ "猠": [
+ "ㄉㄧㄢ3"
+ ],
+ "猡": [
+ "ㄌㄨㄛ2"
+ ],
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+ "ㄏㄨ2"
+ ],
+ "猣": [
+ "ㄗㄨㄥ1"
+ ],
+ "猤": [
+ "ㄍㄨㄟ4"
+ ],
+ "猥": [
+ "ㄨㄟ3",
+ "ㄨㄟ4"
+ ],
+ "猦": [
+ "ㄈㄥ1"
+ ],
+ "猧": [
+ "ㄨㄛ1"
+ ],
+ "猨": [
+ "ㄩㄢ2"
+ ],
+ "猩": [
+ "ㄒㄧㄥ1"
+ ],
+ "猪": [
+ "ㄓㄨ1"
+ ],
+ "猫": [
+ "ㄇㄠ1",
+ "ㄇㄧㄠ2",
+ "ㄇㄠ2"
+ ],
+ "猬": [
+ "ㄨㄟ4"
+ ],
+ "猭": [
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+ "ㄔㄨㄢ4",
+ "ㄕㄢ1"
+ ],
+ "献": [
+ "ㄒㄧㄢ4"
+ ],
+ "猯": [
+ "ㄊㄨㄢ1"
+ ],
+ "猰": [
+ "ㄧㄚ4",
+ "ㄐㄧㄚ2",
+ "ㄑㄧㄝ4"
+ ],
+ "猱": [
+ "ㄋㄠ2"
+ ],
+ "猲": [
+ "ㄒㄧㄝ1",
+ "ㄏㄜ4",
+ "ㄍㄜ2",
+ "ㄏㄞ4"
+ ],
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+ "ㄐㄧㄚ1"
+ ],
+ "猴": [
+ "ㄏㄡ2"
+ ],
+ "猵": [
+ "ㄅㄧㄢ1",
+ "ㄆㄧㄢ4"
+ ],
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+ "ㄧㄡ2",
+ "ㄧㄠ2"
+ ],
+ "猷": [
+ "ㄧㄡ2"
+ ],
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+ "ㄇㄟ2"
+ ],
+ "猹": [
+ "ㄔㄚ2"
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+ "ㄧㄠ2"
+ ],
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+ "ㄙㄨㄣ1"
+ ],
+ "猼": [
+ "ㄅㄛ2",
+ "ㄆㄛ4"
+ ],
+ "猽": [
+ "ㄇㄧㄥ2"
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+ "猾": [
+ "ㄏㄨㄚ2"
+ ],
+ "猿": [
+ "ㄩㄢ2"
+ ],
+ "獀": [
+ "ㄙㄡ1"
+ ],
+ "獁": [
+ "ㄇㄚ4",
+ "ㄇㄚ3"
+ ],
+ "獂": [
+ "ㄩㄢ2"
+ ],
+ "獃": [
+ "ㄉㄞ1",
+ "ㄞ2"
+ ],
+ "獄": [
+ "ㄩ4"
+ ],
+ "獅": [
+ "ㄕ1"
+ ],
+ "獆": [
+ "ㄏㄠ2"
+ ],
+ "獇": [
+ "ㄑㄧㄤ1"
+ ],
+ "獈": [
+ "ㄧ4"
+ ],
+ "獉": [
+ "ㄓㄣ1"
+ ],
+ "獊": [
+ "ㄘㄤ1"
+ ],
+ "獋": [
+ "ㄏㄠ2",
+ "ㄍㄠ1"
+ ],
+ "獌": [
+ "ㄇㄢ4"
+ ],
+ "獍": [
+ "ㄐㄧㄥ4"
+ ],
+ "獎": [
+ "ㄐㄧㄤ3"
+ ],
+ "獏": [
+ "ㄇㄛ4",
+ "ㄇㄨ2"
+ ],
+ "獐": [
+ "ㄓㄤ1"
+ ],
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+ "ㄔㄢ2"
+ ],
+ "獒": [
+ "ㄠ2"
+ ],
+ "獓": [
+ "ㄠ2"
+ ],
+ "獔": [
+ "ㄏㄠ2"
+ ],
+ "獕": [
+ "ㄘㄨㄟ1"
+ ],
+ "獖": [
+ "ㄅㄣ4",
+ "ㄈㄣ4",
+ "ㄈㄣ2"
+ ],
+ "獗": [
+ "ㄐㄩㄝ2"
+ ],
+ "獘": [
+ "ㄅㄧ4"
+ ],
+ "獙": [
+ "ㄅㄧ4"
+ ],
+ "獚": [
+ "ㄏㄨㄤ2"
+ ],
+ "獛": [
+ "ㄆㄨ2"
+ ],
+ "獜": [
+ "ㄌㄧㄣ2",
+ "ㄌㄧㄣ4"
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+ "ㄒㄩ4",
+ "ㄩ4"
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+ "ㄓㄨㄤ4"
+ ],
+ "獟": [
+ "ㄧㄠ4",
+ "ㄒㄧㄠ1"
+ ],
+ "獠": [
+ "ㄌㄧㄠ2",
+ "ㄌㄠ3"
+ ],
+ "獡": [
+ "ㄕㄨㄛ4"
+ ],
+ "獢": [
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+ ],
+ "獣": [
+ "ㄕㄡ4"
+ ],
+ "獤": [
+ "ㄉㄨㄣ1"
+ ],
+ "獥": [
+ "ㄐㄧㄠ4"
+ ],
+ "獦": [
+ "ㄍㄜ2",
+ "ㄒㄧㄝ1",
+ "ㄌㄧㄝ4"
+ ],
+ "獧": [
+ "ㄐㄩㄢ4"
+ ],
+ "獨": [
+ "ㄉㄨ2"
+ ],
+ "獩": [
+ "ㄏㄨㄟ4"
+ ],
+ "獪": [
+ "ㄎㄨㄞ4",
+ "ㄏㄨㄚ2"
+ ],
+ "獫": [
+ "ㄒㄧㄢ3"
+ ],
+ "獬": [
+ "ㄒㄧㄝ4",
+ "ㄏㄚ3",
+ "ㄐㄧㄝ3"
+ ],
+ "獭": [
+ "ㄊㄚ3"
+ ],
+ "獮": [
+ "ㄒㄧㄢ3",
+ "ㄇㄧ2"
+ ],
+ "獯": [
+ "ㄒㄩㄣ1"
+ ],
+ "獰": [
+ "ㄋㄧㄥ2"
+ ],
+ "獱": [
+ "ㄅㄧㄢ1"
+ ],
+ "獲": [
+ "ㄏㄨㄛ4"
+ ],
+ "獳": [
+ "ㄋㄡ4",
+ "ㄖㄨ2"
+ ],
+ "獴": [
+ "ㄇㄥ3",
+ "ㄇㄥ2"
+ ],
+ "獵": [
+ "ㄌㄧㄝ4"
+ ],
+ "獶": [
+ "ㄋㄠ3",
+ "ㄧㄡ1",
+ "ㄋㄠ2"
+ ],
+ "獷": [
+ "ㄍㄨㄤ3",
+ "ㄐㄧㄥ3"
+ ],
+ "獸": [
+ "ㄕㄡ4"
+ ],
+ "獹": [
+ "ㄌㄨ2"
+ ],
+ "獺": [
+ "ㄊㄚ3"
+ ],
+ "獻": [
+ "ㄒㄧㄢ4",
+ "ㄙㄨㄛ1",
+ "ㄒㄧ1"
+ ],
+ "獼": [
+ "ㄇㄧ2"
+ ],
+ "獽": [
+ "ㄖㄤ2"
+ ],
+ "獾": [
+ "ㄏㄨㄢ1",
+ "ㄑㄩㄢ2"
+ ],
+ "獿": [
+ "ㄋㄠ3",
+ "ㄋㄠ2"
+ ],
+ "玀": [
+ "ㄌㄨㄛ2",
+ "ㄜ3"
+ ],
+ "玁": [
+ "ㄒㄧㄢ3"
+ ],
+ "玂": [
+ "ㄑㄧ2"
+ ],
+ "玃": [
+ "ㄐㄩㄝ2"
+ ],
+ "玄": [
+ "ㄒㄩㄢ2",
+ "ㄒㄩㄢ4"
+ ],
+ "玅": [
+ "ㄇㄧㄠ4",
+ "ㄧㄠ1"
+ ],
+ "玆": [
+ "ㄗ1",
+ "ㄒㄩㄢ2"
+ ],
+ "率": [
+ "ㄌㄩ4",
+ "ㄕㄨㄞ4",
+ "ㄌㄩㄝ4"
+ ],
+ "玈": [
+ "ㄌㄨ2"
+ ],
+ "玉": [
+ "ㄩ4"
+ ],
+ "玊": [
+ "ㄙㄨ4"
+ ],
+ "王": [
+ "ㄨㄤ2",
+ "ㄨㄤ4",
+ "ㄩ4"
+ ],
+ "玌": [
+ "ㄑㄧㄡ2"
+ ],
+ "玍": [
+ "ㄍㄚ3"
+ ],
+ "玎": [
+ "ㄉㄧㄥ1"
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+ "ㄌㄜ4"
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+ "玐": [
+ "ㄅㄚ1"
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+ "玑": [
+ "ㄐㄧ1"
+ ],
+ "玒": [
+ "ㄏㄨㄥ2"
+ ],
+ "玓": [
+ "ㄉㄧ4"
+ ],
+ "玔": [
+ "ㄔㄨㄢ4"
+ ],
+ "玕": [
+ "ㄍㄢ1"
+ ],
+ "玖": [
+ "ㄐㄧㄡ3"
+ ],
+ "玗": [
+ "ㄩ2"
+ ],
+ "玘": [
+ "ㄑㄧ3"
+ ],
+ "玙": [
+ "ㄩ2"
+ ],
+ "玚": [
+ "ㄔㄤ4",
+ "ㄧㄤ2"
+ ],
+ "玛": [
+ "ㄇㄚ3"
+ ],
+ "玜": [
+ "ㄏㄨㄥ2"
+ ],
+ "玝": [
+ "ㄨ3"
+ ],
+ "玞": [
+ "ㄈㄨ1"
+ ],
+ "玟": [
+ "ㄨㄣ2",
+ "ㄇㄧㄣ2"
+ ],
+ "玠": [
+ "ㄐㄧㄝ4"
+ ],
+ "玡": [
+ "ㄧㄚ2",
+ "ㄧㄚ4"
+ ],
+ "玢": [
+ "ㄅㄧㄣ1",
+ "ㄈㄣ1"
+ ],
+ "玣": [
+ "ㄅㄧㄢ4"
+ ],
+ "玤": [
+ "ㄅㄤ4"
+ ],
+ "玥": [
+ "ㄩㄝ4"
+ ],
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+ "ㄐㄩㄝ2"
+ ],
+ "玧": [
+ "ㄇㄣ2",
+ "ㄩㄣ3"
+ ],
+ "玨": [
+ "ㄐㄩㄝ2"
+ ],
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+ "ㄨㄢ2"
+ ],
+ "玪": [
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+ "ㄧㄣ2",
+ "ㄑㄧㄢ2",
+ "ㄌㄧㄣ2"
+ ],
+ "玫": [
+ "ㄇㄟ2"
+ ],
+ "玬": [
+ "ㄉㄢ3"
+ ],
+ "玭": [
+ "ㄆㄧㄣ2"
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+ "玮": [
+ "ㄨㄟ3"
+ ],
+ "环": [
+ "ㄏㄨㄢ2"
+ ],
+ "现": [
+ "ㄒㄧㄢ4"
+ ],
+ "玱": [
+ "ㄑㄧㄤ1"
+ ],
+ "玲": [
+ "ㄌㄧㄥ2"
+ ],
+ "玳": [
+ "ㄉㄞ4"
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+ "玴": [
+ "ㄧ4"
+ ],
+ "玵": [
+ "ㄢ2",
+ "ㄍㄢ1"
+ ],
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+ "ㄆㄧㄥ2"
+ ],
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+ "ㄉㄧㄢ4",
+ "ㄉㄧㄢ1"
+ ],
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+ "ㄈㄨ2"
+ ],
+ "玹": [
+ "ㄒㄩㄢ2",
+ "ㄒㄩㄢ4",
+ "ㄒㄧㄢ2"
+ ],
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+ "ㄒㄧ3"
+ ],
+ "玻": [
+ "ㄅㄛ1"
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+ "玼": [
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+ "ㄘ1",
+ "ㄘㄨㄛ1"
+ ],
+ "玽": [
+ "ㄍㄡ3"
+ ],
+ "玾": [
+ "ㄐㄧㄚ3"
+ ],
+ "玿": [
+ "ㄕㄠ2"
+ ],
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+ "ㄆㄛ4"
+ ],
+ "珁": [
+ "ㄘ2"
+ ],
+ "珂": [
+ "ㄎㄜ1"
+ ],
+ "珃": [
+ "ㄖㄢ3"
+ ],
+ "珄": [
+ "ㄕㄥ1"
+ ],
+ "珅": [
+ "ㄕㄣ1"
+ ],
+ "珆": [
+ "ㄧ2",
+ "ㄊㄞ1"
+ ],
+ "珇": [
+ "ㄗㄨ3",
+ "ㄐㄩ4"
+ ],
+ "珈": [
+ "ㄐㄧㄚ1"
+ ],
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+ "ㄇㄧㄣ2"
+ ],
+ "珊": [
+ "ㄕㄢ1"
+ ],
+ "珋": [
+ "ㄌㄧㄡ3"
+ ],
+ "珌": [
+ "ㄅㄧ4"
+ ],
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+ "ㄓㄣ1"
+ ],
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+ "ㄓㄣ1"
+ ],
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+ "ㄐㄩㄝ2"
+ ],
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+ "ㄈㄚ4"
+ ],
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+ "ㄌㄨㄥ2"
+ ],
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+ "ㄐㄧㄣ1"
+ ],
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+ "ㄐㄧㄠ4"
+ ],
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+ "ㄐㄧㄢ4"
+ ],
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+ "ㄌㄧ4"
+ ],
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+ "ㄍㄨㄤ1"
+ ],
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+ "ㄒㄧㄢ1"
+ ],
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+ "ㄓㄡ1"
+ ],
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+ "ㄍㄨㄥ3"
+ ],
+ "珚": [
+ "ㄧㄢ1"
+ ],
+ "珛": [
+ "ㄒㄧㄡ4"
+ ],
+ "珜": [
+ "ㄧㄤ2"
+ ],
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+ "ㄒㄩ3"
+ ],
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+ "ㄌㄧ4"
+ ],
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+ "ㄙㄨ4"
+ ],
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+ "ㄓㄨ1"
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+ ],
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+ "ㄎㄣ4"
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+ "ㄅㄠ3"
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+ ],
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+ "ㄒㄧㄤ4"
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+ "ㄧㄠ2"
+ ],
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+ "ㄒㄧㄚ2"
+ ],
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+ "ㄏㄤ2",
+ "ㄏㄥ2"
+ ],
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+ "ㄍㄨㄟ1"
+ ],
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+ "ㄔㄨㄥ1"
+ ],
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+ "ㄒㄩ4"
+ ],
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+ "ㄅㄢ1"
+ ],
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+ "ㄆㄟ4"
+ ],
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+ "ㄌㄠ3"
+ ],
+ "珰": [
+ "ㄉㄤ1"
+ ],
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+ "ㄧㄥ1"
+ ],
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+ "ㄏㄨㄣ2"
+ ],
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+ "ㄨㄣ2"
+ ],
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+ "ㄜ2"
+ ],
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+ "ㄔㄥ2",
+ "ㄊㄧㄥ3"
+ ],
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+ "ㄉㄧ4",
+ "ㄊㄧ2"
+ ],
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+ "ㄨ4"
+ ],
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+ ],
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+ "ㄔㄥ2"
+ ],
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+ ],
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+ "ㄇㄟ2"
+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄏㄢ2"
+ ],
+ "琁": [
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+ "ㄑㄩㄥ2"
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+ "ㄧㄢ2"
+ ],
+ "球": [
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+ "琅": [
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+ "ㄌㄤ4"
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+ "ㄈㄨ1"
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+ ],
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+ ],
+ "琔": [
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+ ],
+ "琕": [
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+ "ㄅㄧㄥ3"
+ ],
+ "琖": [
+ "ㄓㄢ3"
+ ],
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+ "ㄙㄜ4",
+ "ㄘㄨㄟ4"
+ ],
+ "琘": [
+ "ㄇㄧㄣ2"
+ ],
+ "琙": [
+ "ㄩ4"
+ ],
+ "琚": [
+ "ㄐㄩ1"
+ ],
+ "琛": [
+ "ㄔㄣ1"
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+ "ㄌㄞ2"
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+ "ㄇㄧㄣ2"
+ ],
+ "琞": [
+ "ㄕㄥ4",
+ "ㄨㄤ4"
+ ],
+ "琟": [
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+ "ㄩ4"
+ ],
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+ "ㄊㄧㄢ4"
+ ],
+ "琡": [
+ "ㄔㄨ4"
+ ],
+ "琢": [
+ "ㄗㄨㄛ2",
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+ "ㄆㄧ2"
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+ "ㄉㄤ5"
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+ "ㄑㄧ2"
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+ "ㄩㄢ3"
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+ "ㄐㄧㄤ4"
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+ "ㄊㄨㄢ3"
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+ "ㄕㄨ1",
+ "ㄧㄚ3"
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+ "ㄑㄧㄝ4"
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+ "疍": [
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+ "ㄕㄨ1"
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+ "ㄉㄧ4"
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+ "ㄋㄧㄥ2"
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+ "ㄋㄜ4"
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+ "ㄍㄨㄥ1"
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+ "ㄧ4"
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+ "ㄧㄠ4"
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+ "ㄧㄡ4"
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+ "ㄒㄩㄝ4"
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+ ],
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+ "ㄧㄚ2"
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+ "ㄜ1",
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+ ],
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+ "ㄗ1",
+ "ㄓㄞ4",
+ "ㄐㄧ4"
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+ ],
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+ "ㄉㄚ5"
+ ],
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+ ],
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+ "ㄅㄧㄢ3"
+ ],
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+ ],
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+ ],
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+ "ㄐㄩ3"
+ ],
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+ "ㄍㄡ1"
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+ "ㄋㄧ4",
+ "ㄋㄧㄢ3"
+ ],
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+ "ㄓㄥ1"
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+ "ㄔㄨㄥ2"
+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄕ3"
+ ],
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+ "ㄧㄤ2"
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+ ],
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+ ],
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+ "ㄊㄨㄢ3"
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+ "ㄅㄧㄥ4"
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+ ],
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+ "ㄈㄟ2",
+ "ㄈㄟ3"
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+ ],
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+ "ㄌㄧㄣ4"
+ ],
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+ ],
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+ "ㄉㄧㄢ3"
+ ],
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+ ],
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+ ],
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+ "ㄎㄜ1"
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+ "瘁": [
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+ ],
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+ ],
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+ ],
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+ "ㄉㄢ4"
+ ],
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+ ],
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+ ],
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+ "ㄓ4"
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+ ],
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+ ],
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+ ],
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+ "ㄉㄤ4"
+ ],
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+ ],
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+ ],
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+ "ㄩ4"
+ ],
+ "瘑": [
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+ ],
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+ ],
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+ "ㄏㄨㄢ4"
+ ],
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+ "ㄎㄨ4"
+ ],
+ "瘕": [
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+ "ㄒㄧㄚ1"
+ ],
+ "瘖": [
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+ "ㄧㄣ4"
+ ],
+ "瘗": [
+ "ㄧ4"
+ ],
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+ "ㄌㄡ4"
+ ],
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+ "ㄙㄠ4"
+ ],
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+ ],
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+ "ㄒㄧ1"
+ ],
+ "瘝": [
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+ ],
+ "瘞": [
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+ ],
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+ "ㄨㄛ4",
+ "ㄩㄣ1"
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+ ],
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+ ],
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+ "ㄅㄢ1"
+ ],
+ "瘣": [
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+ "ㄌㄟ3"
+ ],
+ "瘤": [
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+ ],
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+ "ㄘㄨㄛ2"
+ ],
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+ "ㄕㄡ4"
+ ],
+ "瘧": [
+ "ㄋㄩㄝ4",
+ "ㄧㄠ4"
+ ],
+ "瘨": [
+ "ㄉㄧㄢ1",
+ "ㄔㄣ1"
+ ],
+ "瘩": [
+ "ㄉㄚ1",
+ "ㄉㄚ5",
+ "ㄉㄚ2"
+ ],
+ "瘪": [
+ "ㄅㄧㄝ3",
+ "ㄅㄧㄝ1"
+ ],
+ "瘫": [
+ "ㄊㄢ1"
+ ],
+ "瘬": [
+ "ㄓㄤ4"
+ ],
+ "瘭": [
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+ ],
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+ "ㄕㄣ4"
+ ],
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+ ],
+ "瘰": [
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+ ],
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+ "ㄧ4"
+ ],
+ "瘲": [
+ "ㄗㄨㄥ4"
+ ],
+ "瘳": [
+ "ㄔㄡ1",
+ "ㄌㄨ4"
+ ],
+ "瘴": [
+ "ㄓㄤ4"
+ ],
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+ "ㄓㄞ4",
+ "ㄐㄧ4"
+ ],
+ "瘶": [
+ "ㄙㄡ4"
+ ],
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+ "ㄙㄜ4"
+ ],
+ "瘸": [
+ "ㄑㄩㄝ2"
+ ],
+ "瘹": [
+ "ㄉㄧㄠ4"
+ ],
+ "瘺": [
+ "ㄌㄡ4"
+ ],
+ "瘻": [
+ "ㄌㄡ4",
+ "ㄌㄩ2"
+ ],
+ "瘼": [
+ "ㄇㄛ4"
+ ],
+ "瘽": [
+ "ㄑㄧㄣ2"
+ ],
+ "瘾": [
+ "ㄧㄣ3"
+ ],
+ "瘿": [
+ "ㄧㄥ3"
+ ],
+ "癀": [
+ "ㄏㄨㄤ2"
+ ],
+ "癁": [
+ "ㄈㄨ2"
+ ],
+ "療": [
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+ "ㄌㄧㄠ4",
+ "ㄕㄨㄛ4"
+ ],
+ "癃": [
+ "ㄌㄨㄥ2"
+ ],
+ "癄": [
+ "ㄑㄧㄠ2"
+ ],
+ "癅": [
+ "ㄌㄧㄡ2"
+ ],
+ "癆": [
+ "ㄌㄠ2",
+ "ㄌㄠ4"
+ ],
+ "癇": [
+ "ㄒㄧㄢ2"
+ ],
+ "癈": [
+ "ㄈㄟ4"
+ ],
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+ "ㄉㄢ1",
+ "ㄉㄢ4",
+ "ㄉㄢ3",
+ "ㄊㄢ2"
+ ],
+ "癊": [
+ "ㄧㄣ4"
+ ],
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+ "ㄏㄜ4"
+ ],
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+ "ㄧㄢ2"
+ ],
+ "癍": [
+ "ㄅㄢ1"
+ ],
+ "癎": [
+ "ㄒㄧㄢ2"
+ ],
+ "癏": [
+ "ㄍㄨㄢ1"
+ ],
+ "癐": [
+ "ㄍㄨㄟ4",
+ "ㄨㄟ1"
+ ],
+ "癑": [
+ "ㄋㄨㄥ4",
+ "ㄋㄨㄥ2"
+ ],
+ "癒": [
+ "ㄩ4"
+ ],
+ "癓": [
+ "ㄨㄟ2"
+ ],
+ "癔": [
+ "ㄧ4"
+ ],
+ "癕": [
+ "ㄩㄥ1"
+ ],
+ "癖": [
+ "ㄆㄧ3"
+ ],
+ "癗": [
+ "ㄌㄟ3"
+ ],
+ "癘": [
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+ "ㄌㄧㄠ2",
+ "ㄌㄧㄡ4"
+ ],
+ "窍": [
+ "ㄑㄧㄠ4"
+ ],
+ "窎": [
+ "ㄉㄧㄠ4"
+ ],
+ "窏": [
+ "ㄨ1"
+ ],
+ "窐": [
+ "ㄍㄨㄟ1",
+ "ㄨㄚ1"
+ ],
+ "窑": [
+ "ㄧㄠ2"
+ ],
+ "窒": [
+ "ㄓ4",
+ "ㄉㄧㄝ2"
+ ],
+ "窓": [
+ "ㄔㄨㄤ1"
+ ],
+ "窔": [
+ "ㄧㄠ4",
+ "ㄧㄠ3"
+ ],
+ "窕": [
+ "ㄊㄧㄠ3",
+ "ㄊㄧㄠ1"
+ ],
+ "窖": [
+ "ㄐㄧㄠ4",
+ "ㄗㄠ4"
+ ],
+ "窗": [
+ "ㄔㄨㄤ1",
+ "ㄘㄨㄥ1"
+ ],
+ "窘": [
+ "ㄐㄩㄥ3"
+ ],
+ "窙": [
+ "ㄒㄧㄠ1"
+ ],
+ "窚": [
+ "ㄔㄥ2"
+ ],
+ "窛": [
+ "ㄎㄡ4"
+ ],
+ "窜": [
+ "ㄘㄨㄢ4"
+ ],
+ "窝": [
+ "ㄨㄛ1"
+ ],
+ "窞": [
+ "ㄉㄢ4"
+ ],
+ "窟": [
+ "ㄎㄨ1"
+ ],
+ "窠": [
+ "ㄎㄜ1"
+ ],
+ "窡": [
+ "ㄓㄨㄛ2"
+ ],
+ "窢": [
+ "ㄒㄩ1"
+ ],
+ "窣": [
+ "ㄙㄨ1"
+ ],
+ "窤": [
+ "ㄍㄨㄢ1"
+ ],
+ "窥": [
+ "ㄎㄨㄟ1"
+ ],
+ "窦": [
+ "ㄉㄡ4"
+ ],
+ "窧": [
+ "ㄓㄨㄛ5"
+ ],
+ "窨": [
+ "ㄒㄩㄣ1",
+ "ㄧㄣ4",
+ "ㄧㄣ1"
+ ],
+ "窩": [
+ "ㄨㄛ1"
+ ],
+ "窪": [
+ "ㄨㄚ1"
+ ],
+ "窫": [
+ "ㄧㄚ4",
+ "ㄧㄝ1"
+ ],
+ "窬": [
+ "ㄩ2",
+ "ㄉㄡ1"
+ ],
+ "窭": [
+ "ㄐㄩ4"
+ ],
+ "窮": [
+ "ㄑㄩㄥ2"
+ ],
+ "窯": [
+ "ㄧㄠ2",
+ "ㄧㄠ4",
+ "ㄑㄧㄠ1"
+ ],
+ "窰": [
+ "ㄧㄠ2"
+ ],
+ "窱": [
+ "ㄊㄧㄠ3"
+ ],
+ "窲": [
+ "ㄔㄠ2"
+ ],
+ "窳": [
+ "ㄩ3",
+ "ㄩ2"
+ ],
+ "窴": [
+ "ㄊㄧㄢ2"
+ ],
+ "窵": [
+ "ㄉㄧㄠ4"
+ ],
+ "窶": [
+ "ㄐㄩ4",
+ "ㄌㄡ2"
+ ],
+ "窷": [
+ "ㄌㄧㄠ4"
+ ],
+ "窸": [
+ "ㄒㄧ1"
+ ],
+ "窹": [
+ "ㄨ4"
+ ],
+ "窺": [
+ "ㄎㄨㄟ1",
+ "ㄎㄨㄟ3"
+ ],
+ "窻": [
+ "ㄔㄨㄤ1"
+ ],
+ "窼": [
+ "ㄓㄠ1",
+ "ㄎㄜ1"
+ ],
+ "窽": [
+ "ㄎㄨㄢ3"
+ ],
+ "窾": [
+ "ㄎㄨㄢ3",
+ "ㄘㄨㄢ4"
+ ],
+ "窿": [
+ "ㄌㄨㄥ2"
+ ],
+ "竀": [
+ "ㄔㄥ1",
+ "ㄔㄥ4"
+ ],
+ "竁": [
+ "ㄘㄨㄟ4"
+ ],
+ "竂": [
+ "ㄌㄧㄠ2"
+ ],
+ "竃": [
+ "ㄗㄠ4"
+ ],
+ "竄": [
+ "ㄘㄨㄢ4",
+ "ㄘㄨㄢ1"
+ ],
+ "竅": [
+ "ㄑㄧㄠ4"
+ ],
+ "竆": [
+ "ㄑㄩㄥ2"
+ ],
+ "竇": [
+ "ㄉㄡ4",
+ "ㄉㄨ2"
+ ],
+ "竈": [
+ "ㄗㄠ4"
+ ],
+ "竉": [
+ "ㄌㄨㄥ3"
+ ],
+ "竊": [
+ "ㄑㄧㄝ4"
+ ],
+ "立": [
+ "ㄌㄧ4",
+ "ㄨㄟ4"
+ ],
+ "竌": [
+ "ㄔㄨ4"
+ ],
+ "竍": [
+ "ㄕ2"
+ ],
+ "竎": [
+ "ㄈㄨ4"
+ ],
+ "竏": [
+ "ㄑㄧㄢ1"
+ ],
+ "竐": [
+ "ㄔㄨ4"
+ ],
+ "竑": [
+ "ㄏㄨㄥ2"
+ ],
+ "竒": [
+ "ㄑㄧ2"
+ ],
+ "竓": [
+ "ㄏㄠ2"
+ ],
+ "竔": [
+ "ㄕㄥ1"
+ ],
+ "竕": [
+ "ㄈㄣ1"
+ ],
+ "竖": [
+ "ㄕㄨ4"
+ ],
+ "竗": [
+ "ㄇㄧㄠ4"
+ ],
+ "竘": [
+ "ㄑㄩ3",
+ "ㄎㄡ3"
+ ],
+ "站": [
+ "ㄓㄢ4",
+ "ㄓㄢ1"
+ ],
+ "竚": [
+ "ㄓㄨ4"
+ ],
+ "竛": [
+ "ㄌㄧㄥ2"
+ ],
+ "竜": [
+ "ㄌㄨㄥ2",
+ "ㄋㄥ2"
+ ],
+ "竝": [
+ "ㄅㄧㄥ4"
+ ],
+ "竞": [
+ "ㄐㄧㄥ4"
+ ],
+ "竟": [
+ "ㄐㄧㄥ4"
+ ],
+ "章": [
+ "ㄓㄤ1",
+ "ㄓㄤ4"
+ ],
+ "竡": [
+ "ㄅㄞ3"
+ ],
+ "竢": [
+ "ㄙ4"
+ ],
+ "竣": [
+ "ㄐㄩㄣ4"
+ ],
+ "竤": [
+ "ㄏㄨㄥ2"
+ ],
+ "童": [
+ "ㄊㄨㄥ2",
+ "ㄓㄨㄥ1"
+ ],
+ "竦": [
+ "ㄙㄨㄥ3"
+ ],
+ "竧": [
+ "ㄐㄧㄥ4",
+ "ㄓㄣ3"
+ ],
+ "竨": [
+ "ㄉㄧㄠ4"
+ ],
+ "竩": [
+ "ㄧ4"
+ ],
+ "竪": [
+ "ㄕㄨ4"
+ ],
+ "竫": [
+ "ㄐㄧㄥ4"
+ ],
+ "竬": [
+ "ㄑㄩ3"
+ ],
+ "竭": [
+ "ㄐㄧㄝ2"
+ ],
+ "竮": [
+ "ㄆㄧㄥ1"
+ ],
+ "端": [
+ "ㄉㄨㄢ1"
+ ],
+ "竰": [
+ "ㄌㄧ2"
+ ],
+ "竱": [
+ "ㄓㄨㄢ3"
+ ],
+ "竲": [
+ "ㄘㄥ2"
+ ],
+ "竳": [
+ "ㄉㄥ1"
+ ],
+ "竴": [
+ "ㄘㄨㄣ1"
+ ],
+ "竵": [
+ "ㄨㄞ1",
+ "ㄏㄨㄚ1"
+ ],
+ "競": [
+ "ㄐㄧㄥ4"
+ ],
+ "竷": [
+ "ㄎㄢ3",
+ "ㄎㄢ4"
+ ],
+ "竸": [
+ "ㄐㄧㄥ4"
+ ],
+ "竹": [
+ "ㄓㄨ2"
+ ],
+ "竺": [
+ "ㄓㄨ2",
+ "ㄉㄨ3"
+ ],
+ "竻": [
+ "ㄌㄜ4",
+ "ㄐㄧㄣ1"
+ ],
+ "竼": [
+ "ㄆㄥ2"
+ ],
+ "竽": [
+ "ㄩ2"
+ ],
+ "竾": [
+ "ㄔ2"
+ ],
+ "竿": [
+ "ㄍㄢ1",
+ "ㄍㄢ4",
+ "ㄍㄢ3"
+ ],
+ "笀": [
+ "ㄇㄤ2"
+ ],
+ "笁": [
+ "ㄓㄨ2"
+ ],
+ "笂": [
+ "ㄨㄢ2"
+ ],
+ "笃": [
+ "ㄉㄨ3"
+ ],
+ "笄": [
+ "ㄐㄧ1"
+ ],
+ "笅": [
+ "ㄐㄧㄠ3"
+ ],
+ "笆": [
+ "ㄅㄚ1"
+ ],
+ "笇": [
+ "ㄙㄨㄢ4"
+ ],
+ "笈": [
+ "ㄐㄧ2"
+ ],
+ "笉": [
+ "ㄑㄧㄣ3"
+ ],
+ "笊": [
+ "ㄓㄠ4"
+ ],
+ "笋": [
+ "ㄙㄨㄣ3"
+ ],
+ "笌": [
+ "ㄧㄚ2"
+ ],
+ "笍": [
+ "ㄓㄨㄟ4",
+ "ㄖㄨㄟ4"
+ ],
+ "笎": [
+ "ㄩㄢ2"
+ ],
+ "笏": [
+ "ㄏㄨ4",
+ "ㄨㄣ3",
+ "ㄨ4"
+ ],
+ "笐": [
+ "ㄏㄤ2",
+ "ㄏㄤ4"
+ ],
+ "笑": [
+ "ㄒㄧㄠ4"
+ ],
+ "笒": [
+ "ㄘㄣ2",
+ "ㄐㄧㄣ4",
+ "ㄏㄢ2"
+ ],
+ "笓": [
+ "ㄅㄧ4",
+ "ㄆㄧ2",
+ "ㄅㄧ1"
+ ],
+ "笔": [
+ "ㄅㄧ3"
+ ],
+ "笕": [
+ "ㄐㄧㄢ3"
+ ],
+ "笖": [
+ "ㄧ3"
+ ],
+ "笗": [
+ "ㄉㄨㄥ1"
+ ],
+ "笘": [
+ "ㄕㄢ1"
+ ],
+ "笙": [
+ "ㄕㄥ1"
+ ],
+ "笚": [
+ "ㄉㄚ1",
+ "ㄒㄧㄚ2",
+ "ㄋㄚ4"
+ ],
+ "笛": [
+ "ㄉㄧ2"
+ ],
+ "笜": [
+ "ㄓㄨ2"
+ ],
+ "笝": [
+ "ㄋㄚ4"
+ ],
+ "笞": [
+ "ㄔ1"
+ ],
+ "笟": [
+ "ㄍㄨ1"
+ ],
+ "笠": [
+ "ㄌㄧ4"
+ ],
+ "笡": [
+ "ㄑㄧㄝ4"
+ ],
+ "笢": [
+ "ㄇㄧㄣ3"
+ ],
+ "笣": [
+ "ㄅㄠ1"
+ ],
+ "笤": [
+ "ㄊㄧㄠ2",
+ "ㄕㄠ4"
+ ],
+ "笥": [
+ "ㄙ4"
+ ],
+ "符": [
+ "ㄈㄨ2"
+ ],
+ "笧": [
+ "ㄘㄜ4",
+ "ㄕㄢ4"
+ ],
+ "笨": [
+ "ㄅㄣ4"
+ ],
+ "笩": [
+ "ㄈㄚ2"
+ ],
+ "笪": [
+ "ㄉㄚ2"
+ ],
+ "笫": [
+ "ㄗ3"
+ ],
+ "第": [
+ "ㄉㄧ4"
+ ],
+ "笭": [
+ "ㄌㄧㄥ2"
+ ],
+ "笮": [
+ "ㄗㄜ2",
+ "ㄗㄨㄛ2",
+ "ㄓㄚ4"
+ ],
+ "笯": [
+ "ㄋㄨ2"
+ ],
+ "笰": [
+ "ㄈㄨ2",
+ "ㄈㄟ4"
+ ],
+ "笱": [
+ "ㄍㄡ3"
+ ],
+ "笲": [
+ "ㄈㄢ2"
+ ],
+ "笳": [
+ "ㄐㄧㄚ1"
+ ],
+ "笴": [
+ "ㄍㄢ3"
+ ],
+ "笵": [
+ "ㄈㄢ4"
+ ],
+ "笶": [
+ "ㄕ3"
+ ],
+ "笷": [
+ "ㄇㄠ3"
+ ],
+ "笸": [
+ "ㄆㄛ3"
+ ],
+ "笹": [
+ "ㄊㄧ5"
+ ],
+ "笺": [
+ "ㄐㄧㄢ1"
+ ],
+ "笻": [
+ "ㄑㄩㄥ2"
+ ],
+ "笼": [
+ "ㄌㄨㄥ2",
+ "ㄌㄨㄥ3"
+ ],
+ "笽": [
+ "ㄇㄧㄣ3"
+ ],
+ "笾": [
+ "ㄅㄧㄢ1"
+ ],
+ "笿": [
+ "ㄌㄨㄛ4"
+ ],
+ "筀": [
+ "ㄍㄨㄟ4"
+ ],
+ "筁": [
+ "ㄑㄩ1"
+ ],
+ "筂": [
+ "ㄔ2"
+ ],
+ "筃": [
+ "ㄧㄣ1"
+ ],
+ "筄": [
+ "ㄧㄠ4"
+ ],
+ "筅": [
+ "ㄒㄧㄢ3"
+ ],
+ "筆": [
+ "ㄅㄧ3"
+ ],
+ "筇": [
+ "ㄑㄩㄥ2"
+ ],
+ "筈": [
+ "ㄎㄨㄛ4"
+ ],
+ "等": [
+ "ㄉㄥ3"
+ ],
+ "筊": [
+ "ㄒㄧㄠ2",
+ "ㄐㄧㄠ3",
+ "ㄐㄧㄠ4"
+ ],
+ "筋": [
+ "ㄐㄧㄣ1",
+ "ㄑㄧㄢ2"
+ ],
+ "筌": [
+ "ㄑㄩㄢ2"
+ ],
+ "筍": [
+ "ㄙㄨㄣ3",
+ "ㄩㄣ2",
+ "ㄒㄩㄣ4"
+ ],
+ "筎": [
+ "ㄖㄨ2"
+ ],
+ "筏": [
+ "ㄈㄚ2"
+ ],
+ "筐": [
+ "ㄎㄨㄤ1"
+ ],
+ "筑": [
+ "ㄓㄨ4",
+ "ㄓㄨ2"
+ ],
+ "筒": [
+ "ㄊㄨㄥ3",
+ "ㄉㄨㄥ4",
+ "ㄊㄨㄥ2"
+ ],
+ "筓": [
+ "ㄐㄧ1"
+ ],
+ "答": [
+ "ㄉㄚ2",
+ "ㄉㄚ1"
+ ],
+ "筕": [
+ "ㄏㄤ2"
+ ],
+ "策": [
+ "ㄘㄜ4"
+ ],
+ "筗": [
+ "ㄓㄨㄥ4"
+ ],
+ "筘": [
+ "ㄎㄡ4"
+ ],
+ "筙": [
+ "ㄌㄞ2"
+ ],
+ "筚": [
+ "ㄅㄧ4"
+ ],
+ "筛": [
+ "ㄕㄞ1"
+ ],
+ "筜": [
+ "ㄉㄤ1"
+ ],
+ "筝": [
+ "ㄓㄥ1"
+ ],
+ "筞": [
+ "ㄘㄜ4"
+ ],
+ "筟": [
+ "ㄈㄨ1"
+ ],
+ "筠": [
+ "ㄩㄣ2",
+ "ㄐㄩㄣ1"
+ ],
+ "筡": [
+ "ㄊㄨ2"
+ ],
+ "筢": [
+ "ㄆㄚ2"
+ ],
+ "筣": [
+ "ㄌㄧ2"
+ ],
+ "筤": [
+ "ㄌㄤ2",
+ "ㄌㄤ4"
+ ],
+ "筥": [
+ "ㄐㄩ3"
+ ],
+ "筦": [
+ "ㄍㄨㄢ3"
+ ],
+ "筧": [
+ "ㄐㄧㄢ3",
+ "ㄒㄧㄢ4"
+ ],
+ "筨": [
+ "ㄏㄢ2"
+ ],
+ "筩": [
+ "ㄊㄨㄥ2",
+ "ㄊㄨㄥ3",
+ "ㄩㄥ3",
+ "ㄉㄨㄥ4"
+ ],
+ "筪": [
+ "ㄒㄧㄚ2"
+ ],
+ "筫": [
+ "ㄓ4",
+ "ㄓ3"
+ ],
+ "筬": [
+ "ㄔㄥ2"
+ ],
+ "筭": [
+ "ㄙㄨㄢ4"
+ ],
+ "筮": [
+ "ㄕ4"
+ ],
+ "筯": [
+ "ㄓㄨ4"
+ ],
+ "筰": [
+ "ㄗㄨㄛ2"
+ ],
+ "筱": [
+ "ㄒㄧㄠ3"
+ ],
+ "筲": [
+ "ㄕㄠ1"
+ ],
+ "筳": [
+ "ㄊㄧㄥ2"
+ ],
+ "筴": [
+ "ㄘㄜ4",
+ "ㄐㄧㄚ1",
+ "ㄐㄧㄚ2"
+ ],
+ "筵": [
+ "ㄧㄢ2"
+ ],
+ "筶": [
+ "ㄍㄠ4",
+ "ㄍㄠ3"
+ ],
+ "筷": [
+ "ㄎㄨㄞ4"
+ ],
+ "筸": [
+ "ㄍㄢ1"
+ ],
+ "筹": [
+ "ㄔㄡ2"
+ ],
+ "筺": [
+ "ㄎㄨㄤ1"
+ ],
+ "筻": [
+ "ㄍㄤ4"
+ ],
+ "筼": [
+ "ㄩㄣ2"
+ ],
+ "筽": [
+ "ㄡ1",
+ "ㄨ2"
+ ],
+ "签": [
+ "ㄑㄧㄢ1"
+ ],
+ "筿": [
+ "ㄒㄧㄠ3"
+ ],
+ "简": [
+ "ㄐㄧㄢ3"
+ ],
+ "箁": [
+ "ㄆㄡ2",
+ "ㄅㄨ4",
+ "ㄈㄨ2",
+ "ㄆㄨ2"
+ ],
+ "箂": [
+ "ㄌㄞ2"
+ ],
+ "箃": [
+ "ㄗㄡ1"
+ ],
+ "箄": [
+ "ㄅㄧ3",
+ "ㄅㄟ1",
+ "ㄅㄧ1",
+ "ㄅㄧ4",
+ "ㄆㄞ2"
+ ],
+ "箅": [
+ "ㄅㄧ4"
+ ],
+ "箆": [
+ "ㄅㄧ4"
+ ],
+ "箇": [
+ "ㄍㄜ4"
+ ],
+ "箈": [
+ "ㄊㄞ2",
+ "ㄔ2"
+ ],
+ "箉": [
+ "ㄍㄨㄞ3",
+ "ㄉㄞ4"
+ ],
+ "箊": [
+ "ㄩ1"
+ ],
+ "箋": [
+ "ㄐㄧㄢ1"
+ ],
+ "箌": [
+ "ㄉㄠ4",
+ "ㄓㄠ4"
+ ],
+ "箍": [
+ "ㄍㄨ1"
+ ],
+ "箎": [
+ "ㄔ2",
+ "ㄏㄨ3"
+ ],
+ "箏": [
+ "ㄓㄥ1"
+ ],
+ "箐": [
+ "ㄑㄧㄥ4",
+ "ㄐㄧㄥ1",
+ "ㄑㄧㄤ1"
+ ],
+ "箑": [
+ "ㄕㄚ4",
+ "ㄓㄚ2"
+ ],
+ "箒": [
+ "ㄓㄡ3"
+ ],
+ "箓": [
+ "ㄌㄨ4"
+ ],
+ "箔": [
+ "ㄅㄛ2"
+ ],
+ "箕": [
+ "ㄐㄧ1"
+ ],
+ "箖": [
+ "ㄌㄧㄣ2",
+ "ㄌㄧㄣ3"
+ ],
+ "算": [
+ "ㄙㄨㄢ4"
+ ],
+ "箘": [
+ "ㄐㄩㄣ4",
+ "ㄑㄩㄣ1"
+ ],
+ "箙": [
+ "ㄈㄨ2"
+ ],
+ "箚": [
+ "ㄓㄚ2"
+ ],
+ "箛": [
+ "ㄍㄨ1"
+ ],
+ "箜": [
+ "ㄎㄨㄥ1"
+ ],
+ "箝": [
+ "ㄑㄧㄢ2"
+ ],
+ "箞": [
+ "ㄑㄧㄢ1"
+ ],
+ "箟": [
+ "ㄐㄩㄣ4"
+ ],
+ "箠": [
+ "ㄔㄨㄟ2",
+ "ㄓㄨㄟ1"
+ ],
+ "管": [
+ "ㄍㄨㄢ3"
+ ],
+ "箢": [
+ "ㄩㄢ1",
+ "ㄨㄢ3"
+ ],
+ "箣": [
+ "ㄘㄜ4"
+ ],
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+ ],
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+ ],
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+ "ㄗㄜ2"
+ ],
+ "箧": [
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+ ],
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+ "ㄊㄨㄛ4"
+ ],
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+ "ㄌㄨㄛ2"
+ ],
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+ "ㄉㄢ1"
+ ],
+ "箫": [
+ "ㄒㄧㄠ1"
+ ],
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+ "ㄋㄚ4"
+ ],
+ "箭": [
+ "ㄐㄧㄢ4"
+ ],
+ "箮": [
+ "ㄒㄩㄢ1"
+ ],
+ "箯": [
+ "ㄅㄧㄢ1"
+ ],
+ "箰": [
+ "ㄙㄨㄣ3"
+ ],
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+ ],
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+ "ㄒㄧㄢ3"
+ ],
+ "箳": [
+ "ㄆㄧㄥ2"
+ ],
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+ "ㄓㄣ1",
+ "ㄐㄧㄢ3"
+ ],
+ "箵": [
+ "ㄒㄧㄥ1",
+ "ㄒㄧㄥ3",
+ "ㄕㄥ3"
+ ],
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+ "ㄏㄨ2"
+ ],
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+ "ㄧ2",
+ "ㄕ1"
+ ],
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+ "ㄓㄨ4",
+ "ㄓㄨㄛ2"
+ ],
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+ "ㄩㄝ1",
+ "ㄧㄠ4",
+ "ㄔㄨㄛ4"
+ ],
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+ ],
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+ ],
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+ "ㄉㄨㄥ3"
+ ],
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+ "ㄒㄧㄠ1",
+ "ㄑㄧㄠ4"
+ ],
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+ "ㄐㄧ2"
+ ],
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+ "ㄐㄧㄝ2",
+ "ㄐㄧㄝ1"
+ ],
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+ "ㄏㄨㄤ2"
+ ],
+ "篂": [
+ "ㄒㄧㄥ1"
+ ],
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+ "ㄇㄟ4"
+ ],
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+ "ㄈㄢ4"
+ ],
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+ "ㄉㄨㄢ1"
+ ],
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+ ],
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+ ],
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+ "ㄈㄥ1"
+ ],
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+ "ㄓㄨ4",
+ "ㄓㄨ2"
+ ],
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+ "ㄏㄨㄤ2",
+ "ㄏㄨㄥ2"
+ ],
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+ "ㄑㄧㄝ4"
+ ],
+ "篌": [
+ "ㄏㄡ2"
+ ],
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+ "ㄑㄧㄡ1"
+ ],
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+ "ㄇㄧㄠ3"
+ ],
+ "篏": [
+ "ㄑㄧㄢ4"
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+ "ㄍㄨ1"
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+ "ㄎㄨㄟ4"
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+ "ㄕ5"
+ ],
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+ "ㄌㄡ3"
+ ],
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+ "ㄩㄣ2",
+ "ㄒㄩㄣ1"
+ ],
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+ "ㄏㄜ2"
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+ "ㄊㄤ2"
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+ "ㄩㄝ4"
+ ],
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+ "ㄍㄠ1"
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+ "ㄈㄟ3"
+ ],
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+ "ㄖㄨㄛ4"
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+ "ㄓㄥ1"
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+ "ㄍㄡ1"
+ ],
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+ "ㄋㄧㄝ4"
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+ "ㄍㄨㄥ1",
+ "ㄍㄢ3"
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+ "ㄆㄥ2",
+ "ㄆㄤ2"
+ ],
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+ "ㄉㄨ3"
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+ "ㄌㄧ4"
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+ "ㄅㄧ4",
+ "ㄆㄧ2"
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+ "ㄏㄨㄛ4"
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+ ],
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+ ],
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+ ],
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+ "ㄘㄤ1"
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+ "ㄙㄨㄟ4"
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+ "ㄅㄧ4"
+ ],
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+ "ㄓㄨ2"
+ ],
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+ "ㄘㄨㄥ1"
+ ],
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+ "ㄧㄢ1"
+ ],
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+ "ㄆㄥ2"
+ ],
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+ "ㄘㄢ3",
+ "ㄘㄣ1",
+ "ㄗㄢ1"
+ ],
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+ "ㄙㄨㄢ3",
+ "ㄗㄨㄢ3"
+ ],
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+ ],
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+ "ㄅㄧㄠ1"
+ ],
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+ ],
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+ "ㄓㄞ4"
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄗㄢ3"
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+ "ㄒㄧㄠ3"
+ ],
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+ ],
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+ ],
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+ "ㄍㄢ4"
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+ "ㄅㄛ4"
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+ "ㄉㄤ1"
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+ "ㄎㄜ1"
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+ ],
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+ "ㄐㄧㄢ1"
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+ "ㄊㄞ2"
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+ "ㄊㄧ4"
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+ "ㄇㄧ2"
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+ "ㄊㄥ2"
+ ],
+ "籑": [
+ "ㄓㄨㄢ4",
+ "ㄗㄨㄢ3"
+ ],
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+ "ㄓㄡ4"
+ ],
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+ "ㄅㄢ1",
+ "ㄆㄢ1"
+ ],
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+ "ㄙㄡ3",
+ "ㄕㄨ3"
+ ],
+ "籕": [
+ "ㄓㄡ4"
+ ],
+ "籖": [
+ "ㄑㄧㄢ5"
+ ],
+ "籗": [
+ "ㄓㄨㄛ2"
+ ],
+ "籘": [
+ "ㄊㄥ2"
+ ],
+ "籙": [
+ "ㄌㄨ4"
+ ],
+ "籚": [
+ "ㄌㄨ2"
+ ],
+ "籛": [
+ "ㄐㄧㄢ3",
+ "ㄐㄧㄢ1"
+ ],
+ "籜": [
+ "ㄊㄨㄛ4"
+ ],
+ "籝": [
+ "ㄧㄥ2"
+ ],
+ "籞": [
+ "ㄩ4"
+ ],
+ "籟": [
+ "ㄌㄞ4"
+ ],
+ "籠": [
+ "ㄌㄨㄥ2",
+ "ㄌㄨㄥ3"
+ ],
+ "籡": [
+ "ㄑㄧㄝ4"
+ ],
+ "籢": [
+ "ㄌㄧㄢ2"
+ ],
+ "籣": [
+ "ㄌㄢ2"
+ ],
+ "籤": [
+ "ㄑㄧㄢ1"
+ ],
+ "籥": [
+ "ㄩㄝ4"
+ ],
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+ "ㄓㄨㄥ1"
+ ],
+ "籧": [
+ "ㄑㄩ2",
+ "ㄐㄩ3"
+ ],
+ "籨": [
+ "ㄌㄧㄢ2"
+ ],
+ "籩": [
+ "ㄅㄧㄢ1"
+ ],
+ "籪": [
+ "ㄉㄨㄢ4"
+ ],
+ "籫": [
+ "ㄗㄨㄢ3"
+ ],
+ "籬": [
+ "ㄌㄧ2"
+ ],
+ "籭": [
+ "ㄙ1"
+ ],
+ "籮": [
+ "ㄌㄨㄛ2"
+ ],
+ "籯": [
+ "ㄧㄥ2"
+ ],
+ "籰": [
+ "ㄩㄝ4"
+ ],
+ "籱": [
+ "ㄓㄨㄛ2"
+ ],
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+ "ㄩ4"
+ ],
+ "米": [
+ "ㄇㄧ3"
+ ],
+ "籴": [
+ "ㄉㄧ2",
+ "ㄗㄚ2"
+ ],
+ "籵": [
+ "ㄈㄢ2"
+ ],
+ "籶": [
+ "ㄕㄣ1"
+ ],
+ "籷": [
+ "ㄓㄜ2"
+ ],
+ "籸": [
+ "ㄕㄣ1"
+ ],
+ "籹": [
+ "ㄋㄩ3"
+ ],
+ "籺": [
+ "ㄏㄜ2"
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+ "类": [
+ "ㄌㄟ4"
+ ],
+ "籼": [
+ "ㄒㄧㄢ1"
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+ "籽": [
+ "ㄗ3"
+ ],
+ "籾": [
+ "ㄋㄧ2"
+ ],
+ "籿": [
+ "ㄘㄨㄣ4"
+ ],
+ "粀": [
+ "ㄓㄤ4"
+ ],
+ "粁": [
+ "ㄑㄧㄢ1"
+ ],
+ "粂": [
+ "ㄓㄞ1"
+ ],
+ "粃": [
+ "ㄅㄧ3",
+ "ㄆㄧ1"
+ ],
+ "粄": [
+ "ㄅㄢ3"
+ ],
+ "粅": [
+ "ㄨ4"
+ ],
+ "粆": [
+ "ㄕㄚ1",
+ "ㄔㄠ3"
+ ],
+ "粇": [
+ "ㄎㄤ1",
+ "ㄐㄧㄥ1"
+ ],
+ "粈": [
+ "ㄖㄡ2"
+ ],
+ "粉": [
+ "ㄈㄣ3"
+ ],
+ "粊": [
+ "ㄅㄧ4"
+ ],
+ "粋": [
+ "ㄘㄨㄟ4"
+ ],
+ "粌": [
+ "ㄧㄣ5"
+ ],
+ "粍": [
+ "ㄓㄜ2"
+ ],
+ "粎": [
+ "ㄇㄧ3"
+ ],
+ "粏": [
+ "ㄊㄞ5"
+ ],
+ "粐": [
+ "ㄏㄨ4"
+ ],
+ "粑": [
+ "ㄅㄚ1"
+ ],
+ "粒": [
+ "ㄌㄧ4"
+ ],
+ "粓": [
+ "ㄍㄢ1"
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+ "粔": [
+ "ㄐㄩ4"
+ ],
+ "粕": [
+ "ㄆㄛ4"
+ ],
+ "粖": [
+ "ㄇㄛ4"
+ ],
+ "粗": [
+ "ㄘㄨ1"
+ ],
+ "粘": [
+ "ㄓㄢ1",
+ "ㄋㄧㄢ2"
+ ],
+ "粙": [
+ "ㄓㄡ4"
+ ],
+ "粚": [
+ "ㄔ1"
+ ],
+ "粛": [
+ "ㄙㄨ4"
+ ],
+ "粜": [
+ "ㄊㄧㄠ4"
+ ],
+ "粝": [
+ "ㄌㄧ4"
+ ],
+ "粞": [
+ "ㄒㄧ1"
+ ],
+ "粟": [
+ "ㄙㄨ4"
+ ],
+ "粠": [
+ "ㄏㄨㄥ2"
+ ],
+ "粡": [
+ "ㄊㄨㄥ2"
+ ],
+ "粢": [
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+ "ㄘ2",
+ "ㄐㄧ4"
+ ],
+ "粣": [
+ "ㄘㄜ4",
+ "ㄙㄜ4"
+ ],
+ "粤": [
+ "ㄩㄝ4"
+ ],
+ "粥": [
+ "ㄓㄡ1",
+ "ㄩ4"
+ ],
+ "粦": [
+ "ㄌㄧㄣ2"
+ ],
+ "粧": [
+ "ㄓㄨㄤ1"
+ ],
+ "粨": [
+ "ㄅㄞ3"
+ ],
+ "粩": [
+ "ㄌㄠ1"
+ ],
+ "粪": [
+ "ㄈㄣ4"
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+ "粫": [
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+ ],
+ "粬": [
+ "ㄑㄩ1"
+ ],
+ "粭": [
+ "ㄏㄜ2"
+ ],
+ "粮": [
+ "ㄌㄧㄤ2"
+ ],
+ "粯": [
+ "ㄒㄧㄢ4"
+ ],
+ "粰": [
+ "ㄈㄨ2",
+ "ㄈㄨ1"
+ ],
+ "粱": [
+ "ㄌㄧㄤ2"
+ ],
+ "粲": [
+ "ㄘㄢ4"
+ ],
+ "粳": [
+ "ㄐㄧㄥ1"
+ ],
+ "粴": [
+ "ㄌㄧ3"
+ ],
+ "粵": [
+ "ㄩㄝ4"
+ ],
+ "粶": [
+ "ㄌㄨ4"
+ ],
+ "粷": [
+ "ㄐㄩ2"
+ ],
+ "粸": [
+ "ㄑㄧ2"
+ ],
+ "粹": [
+ "ㄘㄨㄟ4",
+ "ㄙㄨㄟ4"
+ ],
+ "粺": [
+ "ㄅㄞ4"
+ ],
+ "粻": [
+ "ㄓㄤ1"
+ ],
+ "粼": [
+ "ㄌㄧㄣ2",
+ "ㄌㄧㄣ3"
+ ],
+ "粽": [
+ "ㄗㄨㄥ4"
+ ],
+ "精": [
+ "ㄐㄧㄥ1",
+ "ㄑㄧㄥ2",
+ "ㄐㄧㄥ4"
+ ],
+ "粿": [
+ "ㄍㄨㄛ3",
+ "ㄏㄨㄚ4"
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+ "ㄆㄢ4"
+ ],
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+ "ㄕㄥ1"
+ ],
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+ "ㄆㄠ4"
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+ "ㄒㄩ3"
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+ ],
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+ ],
+ "胭": [
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+ ],
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+ ],
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+ "ㄎㄨㄚ3"
+ ],
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+ ],
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+ "ㄍㄨㄤ1"
+ ],
+ "胲": [
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+ "ㄍㄞ1",
+ "ㄍㄞ3"
+ ],
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+ "ㄍㄜ2",
+ "ㄍㄚ1"
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+ ],
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+ "ㄔ1",
+ "ㄓ4"
+ ],
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+ "ㄒㄧㄠ2"
+ ],
+ "胷": [
+ "ㄒㄩㄥ1"
+ ],
+ "胸": [
+ "ㄒㄩㄥ1"
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+ "ㄦ2"
+ ],
+ "胺": [
+ "ㄢ4",
+ "ㄜ4"
+ ],
+ "胻": [
+ "ㄏㄥ2"
+ ],
+ "胼": [
+ "ㄆㄧㄢ2"
+ ],
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+ "ㄊㄞ2",
+ "ㄋㄞ2",
+ "ㄋㄞ4",
+ "ㄒㄩㄥ2"
+ ],
+ "胾": [
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+ ],
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+ ],
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+ ],
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+ "ㄇㄛ4"
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+ ],
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+ ],
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+ "ㄨㄣ1"
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+ "ㄓㄨ1"
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+ "ㄓㄨ1",
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+ "藽": [
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+ "ㄏㄜ2"
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+ "ㄗㄜ2"
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+ "ㄜ4"
+ ],
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+ "ㄐㄧ1",
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+ ],
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+ ],
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+ "ㄌㄨ3"
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+ "ㄇㄤ2"
+ ],
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+ ],
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+ "ㄆㄧㄣ2"
+ ],
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+ "蘍": [
+ "ㄒㄩㄣ1"
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+ "蘒": [
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+ "ㄙㄨ1"
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+ "蘔": [
+ "ㄐㄩㄥ1"
+ ],
+ "蘕": [
+ "ㄆㄥ2"
+ ],
+ "蘖": [
+ "ㄋㄧㄝ4",
+ "ㄅㄛ4"
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+ ],
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+ "ㄨㄢ2"
+ ],
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+ "ㄑㄩㄝ1"
+ ],
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+ "ㄏㄨㄟ4",
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+ ],
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+ ],
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+ "ㄓㄠ3"
+ ],
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+ "ㄈㄨ3"
+ ],
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+ "ㄆㄠ2"
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+ ],
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+ ],
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+ ],
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+ "ㄔ1",
+ "ㄉㄧ4"
+ ],
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+ "ㄧㄡ3",
+ "ㄋㄧㄡ4"
+ ],
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+ "ㄎㄜ4"
+ ],
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+ "ㄏㄢ2"
+ ],
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+ ],
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+ ],
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+ "ㄊㄧㄢ4"
+ ],
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+ "ㄓㄚ2"
+ ],
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+ "ㄑㄩ2",
+ "ㄒㄩ4"
+ ],
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+ "ㄆㄧ2"
+ ],
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+ "ㄅㄛ3"
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+ ],
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+ "ㄍㄨ3"
+ ],
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+ "ㄓㄢ1"
+ ],
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+ "ㄐㄩ1"
+ ],
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+ "ㄊㄨㄛ2",
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+ ],
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+ ],
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+ ],
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+ "ㄍㄨ3"
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+ ],
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+ "ㄧㄥ2"
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+ ],
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+ "ㄇㄠ2"
+ ],
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+ "ㄍㄜ2",
+ "ㄌㄨㄛ4"
+ ],
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+ ],
+ "蛔": [
+ "ㄏㄨㄟ2"
+ ],
+ "蛕": [
+ "ㄏㄨㄟ2",
+ "ㄏㄨㄟ3"
+ ],
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+ "ㄇㄤ2",
+ "ㄅㄤ4"
+ ],
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+ "ㄈㄨ4"
+ ],
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+ "ㄧㄤ2",
+ "ㄧㄤ3"
+ ],
+ "蛙": [
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+ "ㄐㄩㄝ2"
+ ],
+ "蛚": [
+ "ㄌㄧㄝ4"
+ ],
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+ ],
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+ "ㄒㄧㄢ2"
+ ],
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+ "ㄕㄜ2"
+ ],
+ "蛟": [
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+ ],
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+ "ㄌㄧ4"
+ ],
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+ "ㄧ4",
+ "ㄒㄩ3"
+ ],
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+ "ㄆㄧㄥ2"
+ ],
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+ "ㄑㄧ1",
+ "ㄐㄧㄝ2",
+ "ㄑㄧㄝ4"
+ ],
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+ "ㄍㄜ2",
+ "ㄏㄚ1",
+ "ㄜ2"
+ ],
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+ "ㄕㄜ2"
+ ],
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+ ],
+ "蛧": [
+ "ㄨㄤ3"
+ ],
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+ "ㄇㄛ4"
+ ],
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+ "ㄑㄩㄥ2",
+ "ㄍㄨㄥ3"
+ ],
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+ "ㄋㄧ2"
+ ],
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+ ],
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+ "ㄑㄩㄥ2"
+ ],
+ "蛭": [
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+ ],
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+ "ㄇㄢ2"
+ ],
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+ "ㄌㄠ3"
+ ],
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+ "ㄓㄜ2"
+ ],
+ "蛱": [
+ "ㄐㄧㄚ2"
+ ],
+ "蛲": [
+ "ㄋㄠ2"
+ ],
+ "蛳": [
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+ ],
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+ "ㄑㄧ2"
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+ "蛵": [
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+ ],
+ "蛶": [
+ "ㄐㄧㄝ4"
+ ],
+ "蛷": [
+ "ㄑㄧㄡ2"
+ ],
+ "蛸": [
+ "ㄕㄠ1",
+ "ㄒㄧㄠ1"
+ ],
+ "蛹": [
+ "ㄩㄥ3"
+ ],
+ "蛺": [
+ "ㄐㄧㄚ2"
+ ],
+ "蛻": [
+ "ㄊㄨㄟ4"
+ ],
+ "蛼": [
+ "ㄔㄜ1"
+ ],
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+ "ㄅㄟ4"
+ ],
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+ "ㄧ3"
+ ],
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+ "ㄏㄢ4"
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+ ],
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+ ],
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+ ],
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+ "ㄕㄣ4"
+ ],
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+ "ㄕㄣ4",
+ "ㄓㄣ4"
+ ],
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+ "ㄆㄨ2"
+ ],
+ "蜆": [
+ "ㄒㄧㄢ4",
+ "ㄒㄧㄢ3"
+ ],
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+ "ㄓㄜ2"
+ ],
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+ ],
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+ "ㄈㄨ2"
+ ],
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+ "ㄌㄧ2"
+ ],
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+ "ㄌㄧㄤ2"
+ ],
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+ "ㄅㄧ4"
+ ],
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+ "ㄩ2"
+ ],
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+ "ㄒㄩㄢ1"
+ ],
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+ "ㄧㄡ3"
+ ],
+ "蜐": [
+ "ㄐㄧㄝ2"
+ ],
+ "蜑": [
+ "ㄉㄢ4"
+ ],
+ "蜒": [
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+ "ㄧㄢ4",
+ "ㄉㄢ4"
+ ],
+ "蜓": [
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+ "ㄉㄧㄢ4"
+ ],
+ "蜔": [
+ "ㄉㄧㄢ4"
+ ],
+ "蜕": [
+ "ㄊㄨㄟ4",
+ "ㄩㄝ4"
+ ],
+ "蜖": [
+ "ㄏㄨㄟ2"
+ ],
+ "蜗": [
+ "ㄨㄛ1"
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+ "ㄓ1"
+ ],
+ "蜙": [
+ "ㄙㄨㄥ1"
+ ],
+ "蜚": [
+ "ㄈㄟ1",
+ "ㄈㄟ3",
+ "ㄆㄟ4",
+ "ㄅㄟ4"
+ ],
+ "蜛": [
+ "ㄐㄩ1"
+ ],
+ "蜜": [
+ "ㄇㄧ4"
+ ],
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+ ],
+ "蜞": [
+ "ㄑㄧ2"
+ ],
+ "蜟": [
+ "ㄩ4"
+ ],
+ "蜠": [
+ "ㄐㄩㄣ4"
+ ],
+ "蜡": [
+ "ㄌㄚ4",
+ "ㄑㄩ4",
+ "ㄓㄚ4",
+ "ㄐㄧ2"
+ ],
+ "蜢": [
+ "ㄇㄥ3",
+ "ㄇㄥ4"
+ ],
+ "蜣": [
+ "ㄑㄧㄤ1"
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+ ],
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+ ],
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+ ],
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+ "ㄔㄚ2"
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+ "ㄆㄢ2"
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+ "ㄧㄥ4"
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+ "ㄌㄧ2"
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+ "ㄉㄧㄝ2",
+ "ㄒㄧ2"
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+ ],
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+ "ㄌㄩ3"
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+ "ㄋㄧㄝ4"
+ ],
+ "褺": [
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+ "褻": [
+ "ㄒㄧㄝ4"
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+ "褼": [
+ "ㄒㄧㄢ1"
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+ "ㄨㄟ4"
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+ "ㄅㄧㄠ3"
+ ],
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+ "ㄘㄠ2"
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+ ],
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+ ],
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+ "ㄨㄛ4"
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+ "ㄐㄩㄢ3"
+ ],
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+ ],
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+ "ㄆㄡ4"
+ ],
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+ "ㄘㄨ4",
+ "ㄘㄨㄟ4"
+ ],
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+ "ㄑㄧㄝ4"
+ ],
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+ "ㄧ4"
+ ],
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+ "ㄉㄧ2"
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄔㄨㄣ3",
+ "ㄔㄨㄣ1"
+ ],
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+ ],
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+ "ㄓㄨㄥ4"
+ ],
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+ "ㄊㄧ2",
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+ "ㄕ4"
+ ],
+ "踷": [
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+ ],
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+ ],
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+ "ㄕㄨㄢ4",
+ "ㄉㄨㄢ4",
+ "ㄔㄨㄢ3"
+ ],
+ "踺": [
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+ ],
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+ "ㄍㄨㄚ3",
+ "ㄊㄨㄛ2"
+ ],
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+ "ㄊㄤ3",
+ "ㄕㄤ1"
+ ],
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+ ],
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+ "ㄅㄧ4"
+ ],
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+ ],
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+ ],
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+ "ㄖㄡ3"
+ ],
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+ "ㄖㄜ4",
+ "ㄋㄚ4"
+ ],
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+ "ㄉㄧ4"
+ ],
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+ "ㄓㄚ1"
+ ],
+ "蹆": [
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+ ],
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+ ],
+ "蹈": [
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+ ],
+ "蹉": [
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+ ],
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+ "ㄒㄧ1"
+ ],
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+ ],
+ "蹌": [
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+ "ㄑㄧㄤ4"
+ ],
+ "蹍": [
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+ "ㄓㄢ3",
+ "ㄔㄢ2"
+ ],
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+ ],
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+ ],
+ "蹑": [
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+ ],
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+ "ㄇㄢ2"
+ ],
+ "蹓": [
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+ "ㄌㄧㄡ4"
+ ],
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+ "ㄘㄢ2"
+ ],
+ "蹕": [
+ "ㄅㄧ4"
+ ],
+ "蹖": [
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+ ],
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+ "ㄌㄨ4"
+ ],
+ "蹘": [
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+ ],
+ "蹙": [
+ "ㄘㄨ4"
+ ],
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+ "ㄊㄤ4",
+ "ㄔㄥ1"
+ ],
+ "蹛": [
+ "ㄉㄞ4",
+ "ㄉㄧㄝ1",
+ "ㄉㄢ1",
+ "ㄓ4"
+ ],
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+ "ㄙㄨ4"
+ ],
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+ ],
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+ "ㄎㄨㄟ3"
+ ],
+ "蹟": [
+ "ㄐㄧ1"
+ ],
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+ "ㄓㄨㄛ2"
+ ],
+ "蹡": [
+ "ㄑㄧㄤ1",
+ "ㄑㄧㄤ4"
+ ],
+ "蹢": [
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+ "ㄓ2"
+ ],
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+ "ㄇㄢ2",
+ "ㄌㄧㄤ3"
+ ],
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+ "ㄗㄨㄥ1"
+ ],
+ "蹥": [
+ "ㄌㄧㄢ2"
+ ],
+ "蹦": [
+ "ㄅㄥ4"
+ ],
+ "蹧": [
+ "ㄗㄠ1"
+ ],
+ "蹨": [
+ "ㄋㄧㄢ3",
+ "ㄖㄢ3"
+ ],
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+ ],
+ "蹪": [
+ "ㄊㄨㄟ2"
+ ],
+ "蹫": [
+ "ㄐㄩ2"
+ ],
+ "蹬": [
+ "ㄉㄥ1",
+ "ㄉㄥ4"
+ ],
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+ "ㄘㄥ4",
+ "ㄘㄥ2"
+ ],
+ "蹮": [
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+ ],
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+ "ㄈㄢ2"
+ ],
+ "蹰": [
+ "ㄔㄨ2"
+ ],
+ "蹱": [
+ "ㄓㄨㄥ1",
+ "ㄔㄨㄥ4"
+ ],
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+ "ㄗㄨㄣ2",
+ "ㄘㄨㄣ2",
+ "ㄗㄨㄣ1",
+ "ㄘㄨㄣ3",
+ "ㄘㄨㄢ2",
+ "ㄑㄩㄣ3"
+ ],
+ "蹳": [
+ "ㄅㄛ1"
+ ],
+ "蹴": [
+ "ㄘㄨ4",
+ "ㄗㄨ2",
+ "ㄐㄧㄡ5"
+ ],
+ "蹵": [
+ "ㄘㄨ4"
+ ],
+ "蹶": [
+ "ㄐㄩㄝ2",
+ "ㄐㄩㄝ3",
+ "ㄍㄨㄟ4"
+ ],
+ "蹷": [
+ "ㄐㄩㄝ2"
+ ],
+ "蹸": [
+ "ㄌㄧㄣ4",
+ "ㄌㄧㄣ2"
+ ],
+ "蹹": [
+ "ㄊㄚ2"
+ ],
+ "蹺": [
+ "ㄑㄧㄠ1",
+ "ㄑㄧㄠ4"
+ ],
+ "蹻": [
+ "ㄐㄩㄝ1",
+ "ㄑㄧㄠ1",
+ "ㄐㄧㄠ3",
+ "ㄐㄩㄝ2",
+ "ㄐㄩ2",
+ "ㄒㄩㄝ4"
+ ],
+ "蹼": [
+ "ㄆㄨ3"
+ ],
+ "蹽": [
+ "ㄌㄧㄠ1"
+ ],
+ "蹾": [
+ "ㄉㄨㄣ1"
+ ],
+ "蹿": [
+ "ㄘㄨㄢ1"
+ ],
+ "躀": [
+ "ㄍㄨㄢ4"
+ ],
+ "躁": [
+ "ㄗㄠ4"
+ ],
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+ ],
+ "躃": [
+ "ㄅㄧ4"
+ ],
+ "躄": [
+ "ㄅㄧ4"
+ ],
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+ "ㄓㄨ2",
+ "ㄓㄨㄛ2"
+ ],
+ "躆": [
+ "ㄐㄩ4"
+ ],
+ "躇": [
+ "ㄔㄨ2",
+ "ㄔㄨㄛ4"
+ ],
+ "躈": [
+ "ㄑㄧㄠ4"
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+ ],
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+ "ㄆㄛ1",
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+ ],
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+ ],
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+ ],
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+ "ㄌㄨ4"
+ ],
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+ ],
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+ ],
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+ "ㄉㄨㄥ4",
+ "ㄔㄨㄥ2"
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+ ],
+ "酰": [
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+ ],
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+ ],
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+ ],
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+ ],
+ "酾": [
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+ "ㄕ1"
+ ],
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+ "ㄋㄧㄤ2"
+ ],
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+ "ㄓㄨㄟ4"
+ ],
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+ ],
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+ "ㄤ1"
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+ "ㄆㄟ1"
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+ ],
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+ ],
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+ "ㄉㄢ4"
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+ "ㄗㄨㄛ4"
+ ],
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+ ],
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+ "ㄊㄧ3"
+ ],
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+ "ㄐㄧㄢ3"
+ ],
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+ ],
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+ "ㄔㄥ2",
+ "ㄐㄧㄥ1"
+ ],
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+ "ㄊㄢ3"
+ ],
+ "醔": [
+ "ㄑㄧㄡ2",
+ "ㄔㄡ1"
+ ],
+ "醕": [
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+ ],
+ "醖": [
+ "ㄩㄣ4"
+ ],
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+ "ㄆㄛ4"
+ ],
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+ ],
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+ "ㄇㄧ2"
+ ],
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+ "ㄔㄨㄛ4"
+ ],
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+ "ㄔㄡ3"
+ ],
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+ "ㄘㄨㄛ3"
+ ],
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+ "醠": [
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+ ],
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+ "ㄓㄚ4"
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+ ],
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+ "ㄐㄧㄤ4"
+ ],
+ "醥": [
+ "ㄆㄧㄠ3"
+ ],
+ "醦": [
+ "ㄔㄣ3",
+ "ㄔㄢ3"
+ ],
+ "醧": [
+ "ㄩ4",
+ "ㄡ1"
+ ],
+ "醨": [
+ "ㄌㄧ2"
+ ],
+ "醩": [
+ "ㄗㄠ1"
+ ],
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+ ],
+ "醫": [
+ "ㄧ1",
+ "ㄧ3"
+ ],
+ "醬": [
+ "ㄐㄧㄤ4"
+ ],
+ "醭": [
+ "ㄅㄨ2"
+ ],
+ "醮": [
+ "ㄐㄧㄠ4",
+ "ㄑㄧㄠ2",
+ "ㄓㄢ4"
+ ],
+ "醯": [
+ "ㄒㄧ1"
+ ],
+ "醰": [
+ "ㄊㄢ2"
+ ],
+ "醱": [
+ "ㄈㄚ1",
+ "ㄆㄛ4",
+ "ㄆㄛ1"
+ ],
+ "醲": [
+ "ㄋㄨㄥ2"
+ ],
+ "醳": [
+ "ㄧ4",
+ "ㄕ4"
+ ],
+ "醴": [
+ "ㄌㄧ3"
+ ],
+ "醵": [
+ "ㄐㄩ4"
+ ],
+ "醶": [
+ "ㄧㄢ4",
+ "ㄌㄧㄢ3",
+ "ㄒㄧㄢ1",
+ "ㄐㄧㄢ3"
+ ],
+ "醷": [
+ "ㄧ4",
+ "ㄧ3",
+ "ㄞ4"
+ ],
+ "醸": [
+ "ㄋㄧㄤ4"
+ ],
+ "醹": [
+ "ㄖㄨ2"
+ ],
+ "醺": [
+ "ㄒㄩㄣ1"
+ ],
+ "醻": [
+ "ㄔㄡ2",
+ "ㄕㄡ4",
+ "ㄉㄠ4"
+ ],
+ "醼": [
+ "ㄧㄢ4"
+ ],
+ "醽": [
+ "ㄌㄧㄥ2"
+ ],
+ "醾": [
+ "ㄇㄧ2"
+ ],
+ "醿": [
+ "ㄇㄧ2"
+ ],
+ "釀": [
+ "ㄋㄧㄤ4",
+ "ㄋㄧㄤ2"
+ ],
+ "釁": [
+ "ㄒㄧㄣ4"
+ ],
+ "釂": [
+ "ㄐㄧㄠ4"
+ ],
+ "釃": [
+ "ㄕㄞ1",
+ "ㄕ1",
+ "ㄌㄧ2"
+ ],
+ "釄": [
+ "ㄇㄧ2"
+ ],
+ "釅": [
+ "ㄧㄢ4"
+ ],
+ "釆": [
+ "ㄅㄧㄢ4",
+ "ㄅㄧㄢ3"
+ ],
+ "采": [
+ "ㄘㄞ3",
+ "ㄘㄞ4"
+ ],
+ "釈": [
+ "ㄕ4"
+ ],
+ "釉": [
+ "ㄧㄡ4"
+ ],
+ "释": [
+ "ㄕ4"
+ ],
+ "釋": [
+ "ㄕ4",
+ "ㄧ4"
+ ],
+ "里": [
+ "ㄌㄧ3",
+ "ㄌㄧ5"
+ ],
+ "重": [
+ "ㄓㄨㄥ4",
+ "ㄔㄨㄥ2",
+ "ㄊㄨㄥ2"
+ ],
+ "野": [
+ "ㄧㄝ3",
+ "ㄕㄨ4"
+ ],
+ "量": [
+ "ㄌㄧㄤ4",
+ "ㄌㄧㄤ2"
+ ],
+ "釐": [
+ "ㄌㄧ2",
+ "ㄒㄧ1",
+ "ㄌㄞ2",
+ "ㄊㄞ1",
+ "ㄌㄞ4",
+ "ㄒㄧ3"
+ ],
+ "金": [
+ "ㄐㄧㄣ1",
+ "ㄐㄧㄣ4"
+ ],
+ "釒": [
+ "ㄐㄧㄣ1"
+ ],
+ "釓": [
+ "ㄑㄧㄡ2",
+ "ㄍㄚ2"
+ ],
+ "釔": [
+ "ㄧ3"
+ ],
+ "釕": [
+ "ㄌㄧㄠ3",
+ "ㄌㄧㄠ4"
+ ],
+ "釖": [
+ "ㄉㄠ1"
+ ],
+ "釗": [
+ "ㄓㄠ1"
+ ],
+ "釘": [
+ "ㄉㄧㄥ1",
+ "ㄉㄧㄥ4",
+ "ㄌㄧㄥ2"
+ ],
+ "釙": [
+ "ㄆㄛ4",
+ "ㄆㄛ1"
+ ],
+ "釚": [
+ "ㄑㄧㄡ2"
+ ],
+ "釛": [
+ "ㄅㄚ1"
+ ],
+ "釜": [
+ "ㄈㄨ3"
+ ],
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+ "ㄓㄣ1"
+ ],
+ "釞": [
+ "ㄓ2"
+ ],
+ "釟": [
+ "ㄅㄚ1"
+ ],
+ "釠": [
+ "ㄌㄨㄢ4"
+ ],
+ "釡": [
+ "ㄈㄨ3"
+ ],
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+ "ㄋㄞ3"
+ ],
+ "釣": [
+ "ㄉㄧㄠ4"
+ ],
+ "釤": [
+ "ㄕㄢ4",
+ "ㄕㄢ1",
+ "ㄒㄧㄢ1"
+ ],
+ "釥": [
+ "ㄑㄧㄠ3",
+ "ㄐㄧㄠ3"
+ ],
+ "釦": [
+ "ㄎㄡ4"
+ ],
+ "釧": [
+ "ㄔㄨㄢ4",
+ "ㄔㄨㄢ1"
+ ],
+ "釨": [
+ "ㄗ3"
+ ],
+ "釩": [
+ "ㄈㄢ3",
+ "ㄈㄢ4",
+ "ㄈㄢ2"
+ ],
+ "釪": [
+ "ㄏㄨㄚ2",
+ "ㄩ2"
+ ],
+ "釫": [
+ "ㄏㄨㄚ2",
+ "ㄨ1"
+ ],
+ "釬": [
+ "ㄏㄢ4",
+ "ㄍㄢ1"
+ ],
+ "釭": [
+ "ㄍㄤ1",
+ "ㄍㄨㄥ1"
+ ],
+ "釮": [
+ "ㄑㄧ2"
+ ],
+ "釯": [
+ "ㄇㄤ2"
+ ],
+ "釰": [
+ "ㄖ4",
+ "ㄖㄣ4",
+ "ㄐㄧㄢ4"
+ ],
+ "釱": [
+ "ㄉㄧ4"
+ ],
+ "釲": [
+ "ㄙ4"
+ ],
+ "釳": [
+ "ㄒㄧ4"
+ ],
+ "釴": [
+ "ㄧ4"
+ ],
+ "釵": [
+ "ㄔㄞ1",
+ "ㄔㄚ1"
+ ],
+ "釶": [
+ "ㄕ1",
+ "ㄧ2",
+ "ㄧㄝ3"
+ ],
+ "釷": [
+ "ㄊㄨ3"
+ ],
+ "釸": [
+ "ㄒㄧ1"
+ ],
+ "釹": [
+ "ㄋㄩ3"
+ ],
+ "釺": [
+ "ㄑㄧㄢ1"
+ ],
+ "釻": [
+ "ㄑㄧㄡ2"
+ ],
+ "釼": [
+ "ㄐㄧㄢ4"
+ ],
+ "釽": [
+ "ㄆㄧ4",
+ "ㄆㄧ1",
+ "ㄓㄠ1"
+ ],
+ "釾": [
+ "ㄧㄝ2",
+ "ㄧㄚ2"
+ ],
+ "釿": [
+ "ㄐㄧㄣ1",
+ "ㄧㄣ3",
+ "ㄧㄣ2"
+ ],
+ "鈀": [
+ "ㄅㄚ3",
+ "ㄅㄚ1",
+ "ㄆㄚ2"
+ ],
+ "鈁": [
+ "ㄈㄤ1"
+ ],
+ "鈂": [
+ "ㄔㄣ2",
+ "ㄑㄧㄣ2",
+ "ㄓㄣ4"
+ ],
+ "鈃": [
+ "ㄒㄧㄥ2"
+ ],
+ "鈄": [
+ "ㄉㄡ3"
+ ],
+ "鈅": [
+ "ㄩㄝ4"
+ ],
+ "鈆": [
+ "ㄑㄧㄢ1",
+ "ㄓㄨㄥ1"
+ ],
+ "鈇": [
+ "ㄈㄨ1",
+ "ㄈㄨ3"
+ ],
+ "鈈": [
+ "ㄆㄧ1",
+ "ㄅㄨ4"
+ ],
+ "鈉": [
+ "ㄋㄚ4",
+ "ㄖㄨㄟ4"
+ ],
+ "鈊": [
+ "ㄒㄧㄣ1",
+ "ㄑㄧㄣ4"
+ ],
+ "鈋": [
+ "ㄜ2"
+ ],
+ "鈌": [
+ "ㄐㄩㄝ2"
+ ],
+ "鈍": [
+ "ㄉㄨㄣ4"
+ ],
+ "鈎": [
+ "ㄍㄡ1"
+ ],
+ "鈏": [
+ "ㄧㄣ3"
+ ],
+ "鈐": [
+ "ㄑㄧㄢ2",
+ "ㄏㄢ2"
+ ],
+ "鈑": [
+ "ㄅㄢ3"
+ ],
+ "鈒": [
+ "ㄙㄚ4",
+ "ㄒㄧ4"
+ ],
+ "鈓": [
+ "ㄖㄣ2"
+ ],
+ "鈔": [
+ "ㄔㄠ1",
+ "ㄔㄠ3"
+ ],
+ "鈕": [
+ "ㄋㄧㄡ3",
+ "ㄔㄡ3"
+ ],
+ "鈖": [
+ "ㄈㄣ1"
+ ],
+ "鈗": [
+ "ㄩㄣ3",
+ "ㄉㄨㄟ4"
+ ],
+ "鈘": [
+ "ㄧ3"
+ ],
+ "鈙": [
+ "ㄑㄧㄣ2"
+ ],
+ "鈚": [
+ "ㄆㄧ1",
+ "ㄅㄧ1",
+ "ㄅㄧ3"
+ ],
+ "鈛": [
+ "ㄍㄨㄛ1"
+ ],
+ "鈜": [
+ "ㄏㄨㄥ2"
+ ],
+ "鈝": [
+ "ㄧㄣ2"
+ ],
+ "鈞": [
+ "ㄐㄩㄣ1"
+ ],
+ "鈟": [
+ "ㄉㄧㄠ4"
+ ],
+ "鈠": [
+ "ㄧ4"
+ ],
+ "鈡": [
+ "ㄓㄨㄥ1"
+ ],
+ "鈢": [
+ "ㄒㄧ3"
+ ],
+ "鈣": [
+ "ㄍㄞ4"
+ ],
+ "鈤": [
+ "ㄖ4"
+ ],
+ "鈥": [
+ "ㄏㄨㄛ3"
+ ],
+ "鈦": [
+ "ㄊㄞ4"
+ ],
+ "鈧": [
+ "ㄎㄤ4"
+ ],
+ "鈨": [
+ "ㄩㄢ2"
+ ],
+ "鈩": [
+ "ㄌㄨ2"
+ ],
+ "鈪": [
+ "ㄜ4"
+ ],
+ "鈫": [
+ "ㄑㄧㄣ2"
+ ],
+ "鈬": [
+ "ㄉㄨㄛ2"
+ ],
+ "鈭": [
+ "ㄗ1"
+ ],
+ "鈮": [
+ "ㄋㄧ3",
+ "ㄋㄧ2"
+ ],
+ "鈯": [
+ "ㄊㄨ2"
+ ],
+ "鈰": [
+ "ㄕ4"
+ ],
+ "鈱": [
+ "ㄇㄧㄣ2",
+ "ㄇㄧㄣ3"
+ ],
+ "鈲": [
+ "ㄍㄨ1",
+ "ㄆㄧ4"
+ ],
+ "鈳": [
+ "ㄎㄜ1"
+ ],
+ "鈴": [
+ "ㄌㄧㄥ2"
+ ],
+ "鈵": [
+ "ㄅㄧㄥ3"
+ ],
+ "鈶": [
+ "ㄙ4",
+ "ㄘ2",
+ "ㄊㄞ2"
+ ],
+ "鈷": [
+ "ㄍㄨ3",
+ "ㄏㄨ2",
+ "ㄍㄨ4"
+ ],
+ "鈸": [
+ "ㄅㄛ2"
+ ],
+ "鈹": [
+ "ㄆㄧ1",
+ "ㄆㄧ2"
+ ],
+ "鈺": [
+ "ㄩ4"
+ ],
+ "鈻": [
+ "ㄙ4"
+ ],
+ "鈼": [
+ "ㄗㄨㄛ2"
+ ],
+ "鈽": [
+ "ㄅㄨ1"
+ ],
+ "鈾": [
+ "ㄧㄡ2",
+ "ㄓㄡ4"
+ ],
+ "鈿": [
+ "ㄊㄧㄢ2",
+ "ㄉㄧㄢ4"
+ ],
+ "鉀": [
+ "ㄐㄧㄚ3",
+ "ㄍㄜ2"
+ ],
+ "鉁": [
+ "ㄓㄣ1",
+ "ㄓㄣ4"
+ ],
+ "鉂": [
+ "ㄕ3"
+ ],
+ "鉃": [
+ "ㄕ4",
+ "ㄗㄨ2"
+ ],
+ "鉄": [
+ "ㄓ2",
+ "ㄊㄧㄝ3"
+ ],
+ "鉅": [
+ "ㄐㄩ4"
+ ],
+ "鉆": [
+ "ㄔㄢ1",
+ "ㄑㄧㄢ2",
+ "ㄊㄧㄝ1"
+ ],
+ "鉇": [
+ "ㄕ1",
+ "ㄧ2"
+ ],
+ "鉈": [
+ "ㄕ1",
+ "ㄕㄜ2",
+ "ㄧ2",
+ "ㄊㄨㄛ2",
+ "ㄊㄚ1"
+ ],
+ "鉉": [
+ "ㄒㄩㄢ4"
+ ],
+ "鉊": [
+ "ㄓㄠ1"
+ ],
+ "鉋": [
+ "ㄅㄠ4",
+ "ㄆㄠ2",
+ "ㄅㄠ2"
+ ],
+ "鉌": [
+ "ㄏㄜ2"
+ ],
+ "鉍": [
+ "ㄅㄧ4",
+ "ㄙㄜ4"
+ ],
+ "鉎": [
+ "ㄕㄥ1"
+ ],
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+ "ㄔㄨ2",
+ "ㄗㄨ1",
+ "ㄓㄨ4",
+ "ㄐㄩ3",
+ "ㄔㄚ2",
+ "ㄒㄩ2"
+ ],
+ "鉐": [
+ "ㄕ2",
+ "ㄗㄨ2"
+ ],
+ "鉑": [
+ "ㄅㄛ2"
+ ],
+ "鉒": [
+ "ㄓㄨ4"
+ ],
+ "鉓": [
+ "ㄔ4"
+ ],
+ "鉔": [
+ "ㄗㄚ1"
+ ],
+ "鉕": [
+ "ㄆㄛ1",
+ "ㄆㄛ3"
+ ],
+ "鉖": [
+ "ㄊㄨㄥ2"
+ ],
+ "鉗": [
+ "ㄑㄧㄢ2",
+ "ㄢ1"
+ ],
+ "鉘": [
+ "ㄈㄨ2"
+ ],
+ "鉙": [
+ "ㄓㄞ3"
+ ],
+ "鉚": [
+ "ㄌㄧㄡ3",
+ "ㄇㄠ3"
+ ],
+ "鉛": [
+ "ㄑㄧㄢ1",
+ "ㄧㄢ2"
+ ],
+ "鉜": [
+ "ㄈㄨ2"
+ ],
+ "鉝": [
+ "ㄌㄧ4"
+ ],
+ "鉞": [
+ "ㄩㄝ4"
+ ],
+ "鉟": [
+ "ㄆㄧ1"
+ ],
+ "鉠": [
+ "ㄧㄤ1"
+ ],
+ "鉡": [
+ "ㄅㄢ4"
+ ],
+ "鉢": [
+ "ㄅㄛ1"
+ ],
+ "鉣": [
+ "ㄐㄧㄝ2"
+ ],
+ "鉤": [
+ "ㄍㄡ1",
+ "ㄍㄡ4",
+ "ㄑㄩ2"
+ ],
+ "鉥": [
+ "ㄕㄨ4",
+ "ㄒㄩ4"
+ ],
+ "鉦": [
+ "ㄓㄥ1"
+ ],
+ "鉧": [
+ "ㄇㄨ3"
+ ],
+ "鉨": [
+ "ㄒㄧ3",
+ "ㄋㄧ3",
+ "ㄋㄧㄝ3"
+ ],
+ "鉩": [
+ "ㄒㄧ3",
+ "ㄋㄧㄝ4"
+ ],
+ "鉪": [
+ "ㄉㄧ4"
+ ],
+ "鉫": [
+ "ㄐㄧㄚ1"
+ ],
+ "鉬": [
+ "ㄇㄨ4"
+ ],
+ "鉭": [
+ "ㄊㄢ3"
+ ],
+ "鉮": [
+ "ㄏㄨㄢ2",
+ "ㄕㄣ2",
+ "ㄕㄣ1"
+ ],
+ "鉯": [
+ "ㄧ3"
+ ],
+ "鉰": [
+ "ㄙ1"
+ ],
+ "鉱": [
+ "ㄎㄨㄤ4"
+ ],
+ "鉲": [
+ "ㄎㄚ3"
+ ],
+ "鉳": [
+ "ㄅㄟ3"
+ ],
+ "鉴": [
+ "ㄐㄧㄢ4"
+ ],
+ "鉵": [
+ "ㄊㄨㄥ2",
+ "ㄓㄨㄛ2"
+ ],
+ "鉶": [
+ "ㄒㄧㄥ2"
+ ],
+ "鉷": [
+ "ㄏㄨㄥ2"
+ ],
+ "鉸": [
+ "ㄐㄧㄠ3"
+ ],
+ "鉹": [
+ "ㄔ3"
+ ],
+ "鉺": [
+ "ㄦ4",
+ "ㄎㄥ1",
+ "ㄦ3"
+ ],
+ "鉻": [
+ "ㄌㄨㄛ4",
+ "ㄍㄜ1",
+ "ㄍㄜ4"
+ ],
+ "鉼": [
+ "ㄅㄧㄥ3",
+ "ㄆㄧㄥ2"
+ ],
+ "鉽": [
+ "ㄕ4"
+ ],
+ "鉾": [
+ "ㄇㄡ2",
+ "ㄇㄠ2"
+ ],
+ "鉿": [
+ "ㄐㄧㄚ1",
+ "ㄍㄜ1",
+ "ㄎㄜ1",
+ "ㄏㄚ1"
+ ],
+ "銀": [
+ "ㄧㄣ2"
+ ],
+ "銁": [
+ "ㄐㄩㄣ1"
+ ],
+ "銂": [
+ "ㄓㄡ1"
+ ],
+ "銃": [
+ "ㄔㄨㄥ4"
+ ],
+ "銄": [
+ "ㄒㄧㄤ3",
+ "ㄐㄩㄥ1"
+ ],
+ "銅": [
+ "ㄊㄨㄥ2"
+ ],
+ "銆": [
+ "ㄇㄛ4"
+ ],
+ "銇": [
+ "ㄌㄟ4"
+ ],
+ "銈": [
+ "ㄐㄧ1"
+ ],
+ "銉": [
+ "ㄩ4",
+ "ㄙ4"
+ ],
+ "銊": [
+ "ㄒㄩ4",
+ "ㄏㄨㄟ4"
+ ],
+ "銋": [
+ "ㄖㄣ2",
+ "ㄖㄣ3"
+ ],
+ "銌": [
+ "ㄗㄨㄣ4"
+ ],
+ "銍": [
+ "ㄓ4"
+ ],
+ "銎": [
+ "ㄑㄩㄥ2",
+ "ㄑㄩㄥ1"
+ ],
+ "銏": [
+ "ㄕㄢ4",
+ "ㄕㄨㄛ4"
+ ],
+ "銐": [
+ "ㄔ4",
+ "ㄌㄧ4"
+ ],
+ "銑": [
+ "ㄒㄧㄢ3",
+ "ㄒㄧㄢ1",
+ "ㄒㄧ3"
+ ],
+ "銒": [
+ "ㄒㄧㄥ2",
+ "ㄐㄧㄢ1"
+ ],
+ "銓": [
+ "ㄑㄩㄢ2"
+ ],
+ "銔": [
+ "ㄆㄧ1"
+ ],
+ "銕": [
+ "ㄊㄧㄝ3",
+ "ㄧ2"
+ ],
+ "銖": [
+ "ㄓㄨ1"
+ ],
+ "銗": [
+ "ㄒㄧㄤ4",
+ "ㄏㄡ2"
+ ],
+ "銘": [
+ "ㄇㄧㄥ2"
+ ],
+ "銙": [
+ "ㄎㄨㄚ3"
+ ],
+ "銚": [
+ "ㄧㄠ2",
+ "ㄉㄧㄠ4",
+ "ㄊㄧㄠ2",
+ "ㄑㄧㄠ1",
+ "ㄧㄠ4"
+ ],
+ "銛": [
+ "ㄒㄧㄢ1",
+ "ㄊㄧㄢ3",
+ "ㄍㄨㄚ1"
+ ],
+ "銜": [
+ "ㄒㄧㄢ2"
+ ],
+ "銝": [
+ "ㄒㄧㄡ1"
+ ],
+ "銞": [
+ "ㄐㄩㄣ1"
+ ],
+ "銟": [
+ "ㄔㄚ1"
+ ],
+ "銠": [
+ "ㄌㄠ3"
+ ],
+ "銡": [
+ "ㄐㄧ2"
+ ],
+ "銢": [
+ "ㄆㄧ3"
+ ],
+ "銣": [
+ "ㄖㄨ2"
+ ],
+ "銤": [
+ "ㄇㄧ3"
+ ],
+ "銥": [
+ "ㄧ1"
+ ],
+ "銦": [
+ "ㄧㄣ1"
+ ],
+ "銧": [
+ "ㄍㄨㄤ1"
+ ],
+ "銨": [
+ "ㄢ3"
+ ],
+ "銩": [
+ "ㄉㄧㄡ1"
+ ],
+ "銪": [
+ "ㄧㄡ3"
+ ],
+ "銫": [
+ "ㄙㄜ4"
+ ],
+ "銬": [
+ "ㄎㄠ4"
+ ],
+ "銭": [
+ "ㄑㄧㄢ2"
+ ],
+ "銮": [
+ "ㄌㄨㄢ2"
+ ],
+ "銯": [
+ "ㄙ1"
+ ],
+ "銰": [
+ "ㄞ1"
+ ],
+ "銱": [
+ "ㄉㄧㄠ4"
+ ],
+ "銲": [
+ "ㄏㄢ4"
+ ],
+ "銳": [
+ "ㄖㄨㄟ4"
+ ],
+ "銴": [
+ "ㄕ4",
+ "ㄓ4"
+ ],
+ "銵": [
+ "ㄎㄥ1"
+ ],
+ "銶": [
+ "ㄑㄧㄡ2"
+ ],
+ "銷": [
+ "ㄒㄧㄠ1"
+ ],
+ "銸": [
+ "ㄓㄜ2",
+ "ㄋㄧㄝ4"
+ ],
+ "銹": [
+ "ㄒㄧㄡ4",
+ "ㄧㄡ4"
+ ],
+ "銺": [
+ "ㄗㄤ4"
+ ],
+ "銻": [
+ "ㄊㄧ2",
+ "ㄊㄧ1"
+ ],
+ "銼": [
+ "ㄘㄨㄛ4"
+ ],
+ "銽": [
+ "ㄍㄨㄚ1"
+ ],
+ "銾": [
+ "ㄏㄨㄥ4",
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+ "ㄑㄧㄝ4",
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄨㄢ3"
+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄍㄨㄢ4",
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+ ],
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+ ],
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+ ],
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+ "ㄕㄢ4"
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+ "ㄕㄥ2",
+ "ㄇㄥ3"
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+ "ㄌㄚ4"
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+ "ㄌㄨ4",
+ "ㄌㄨㄛ4"
+ ],
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+ "ㄇㄧㄝ4"
+ ],
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+ "ㄓㄣ1"
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+ "鱶": [
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+ ],
+ "鱷": [
+ "ㄜ4"
+ ],
+ "鱸": [
+ "ㄌㄨ2"
+ ],
+ "鱹": [
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+ "ㄇㄚ1"
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+ ],
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+ ],
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+ "ㄙ1"
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+ "ㄎㄨㄥ1"
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+ "ㄇㄡ3"
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+ "ㄐㄧ1"
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+ "ㄧㄝ4"
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+ "ㄑㄧㄝ4"
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+ "ㄧ4"
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+ "ㄗㄨㄛ3"
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+ "ㄊㄧㄢ3"
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+ "ㄗㄡ1"
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+ "ㄗ3"
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+ "ㄗㄚ1"
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+ "ㄐㄧㄣ1"
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+ "ㄆㄞ4"
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+ ],
+ "𠂧": [
+ "ㄕㄣ4"
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+ "ㄏㄨㄤ2"
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+ "ㄧㄣ3"
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+ "ㄍㄨㄣ3"
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+ "ㄐㄧㄡ1"
+ ],
+ "𠃫": [
+ "ㄕㄣ1"
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+ "ㄧㄝ4"
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+ ],
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+ "ㄓㄨㄟ4"
+ ],
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+ "ㄐㄧㄝ2"
+ ],
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+ "ㄉㄧㄠ3"
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+ "𠄑": [
+ "ㄐㄩㄝ2"
+ ],
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+ "ㄔㄨㄟ2",
+ "ㄕㄚ1"
+ ],
+ "𠄖": [
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+ ],
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+ "ㄊㄧㄥ1"
+ ],
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+ "ㄍㄣ4"
+ ],
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+ "ㄧㄚ4",
+ "ㄇㄛ3"
+ ],
+ "𠄱": [
+ "ㄧ2"
+ ],
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+ "ㄨㄟ2"
+ ],
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+ "ㄐㄧㄝ2"
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+ "ㄧ2"
+ ],
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+ "ㄉㄧㄝ4"
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+ "ㄑㄧ2"
+ ],
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+ "ㄒㄧ2"
+ ],
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+ "ㄅㄠ1"
+ ],
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+ "ㄒㄧㄝ4"
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+ "ㄓㄤ4"
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+ "ㄩㄥ1"
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+ "ㄒㄩ4"
+ ],
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+ "ㄉㄧㄝ4"
+ ],
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+ "ㄉㄢ1"
+ ],
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+ "ㄨㄟ3"
+ ],
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+ "ㄓㄨㄚ3"
+ ],
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+ "ㄈㄢ4"
+ ],
+ "𠆮": [
+ "ㄇㄛ4"
+ ],
+ "𠆱": [
+ "ㄒㄧ1"
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+ "ㄧㄢ3"
+ ],
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+ "ㄋㄧ2"
+ ],
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+ "ㄉㄢ4"
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+ "ㄉㄢ3"
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+ "ㄊㄠ1"
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+ "ㄍㄨㄥ1"
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+ "ㄎㄨㄚ1"
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+ "ㄔㄨ4"
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+ "ㄑㄩ4"
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+ "ㄇㄛ4"
+ ],
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+ "ㄕ1"
+ ],
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+ "ㄍㄢ3"
+ ],
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+ "ㄕㄥ1"
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+ "ㄊㄨㄛ1"
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+ "ㄕㄡ1"
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+ "ㄩㄣ4"
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+ "ㄍㄨㄚ3"
+ ],
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+ ],
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+ "ㄌㄠ2"
+ ],
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+ "ㄉㄢ4"
+ ],
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+ "ㄙㄨㄛ1"
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+ "ㄇㄤ3"
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+ "ㄧ2"
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+ "ㄊㄜ4"
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+ "ㄅㄧ4"
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+ "ㄊㄚ4"
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+ "ㄌㄨㄛ4"
+ ],
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+ "ㄒㄧ3"
+ ],
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+ "ㄏㄨㄣ1",
+ "ㄏㄨㄣ4"
+ ],
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+ "ㄉㄚ2"
+ ],
+ "𠉧": [
+ "ㄐㄩ4"
+ ],
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+ "ㄉㄨ2"
+ ],
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+ "ㄢ3",
+ "ㄧㄢ3"
+ ],
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+ "ㄇㄟ4"
+ ],
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+ "ㄖㄢ2"
+ ],
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+ "ㄞ2"
+ ],
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+ "ㄩ4",
+ "ㄒㄧㄢ2"
+ ],
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+ "ㄐㄧㄢ4"
+ ],
+ "𠊔": [
+ "ㄑㄧ4"
+ ],
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+ "ㄇㄧㄣ3"
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+ "𠊣": [
+ "ㄓㄡ4"
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+ "𠊤": [
+ "ㄓ4"
+ ],
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+ "ㄓㄨㄥ3"
+ ],
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+ "ㄋㄠ3"
+ ],
+ "𠊧": [
+ "ㄅㄧㄥ4"
+ ],
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+ "ㄓㄨㄢ4"
+ ],
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+ "ㄕㄨ4"
+ ],
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+ "ㄒㄩㄣ4",
+ "ㄑㄩㄥ2"
+ ],
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+ "ㄐㄩㄝ2"
+ ],
+ "𠊭": [
+ "ㄑㄧㄢ3"
+ ],
+ "𠊰": [
+ "ㄍㄨㄚ3"
+ ],
+ "𠊲": [
+ "ㄊㄨ1"
+ ],
+ "𠊶": [
+ "ㄧㄥ4"
+ ],
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+ "ㄓ4"
+ ],
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+ "ㄎㄨㄟ2"
+ ],
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+ "ㄔㄣ4"
+ ],
+ "𠋖": [
+ "ㄌㄧㄢ4"
+ ],
+ "𠋗": [
+ "ㄧㄚ1"
+ ],
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+ "ㄍㄨㄛ4"
+ ],
+ "𠋝": [
+ "ㄇㄧㄠ3"
+ ],
+ "𠋞": [
+ "ㄕㄜ2"
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+ "𠋟": [
+ "ㄩ3"
+ ],
+ "𠋡": [
+ "ㄙ4"
+ ],
+ "𠋢": [
+ "ㄙㄡ3",
+ "ㄓㄡ4"
+ ],
+ "𠋤": [
+ "ㄓ4"
+ ],
+ "𠋧": [
+ "ㄑㄧㄝ1"
+ ],
+ "𠋩": [
+ "ㄈㄨ4"
+ ],
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+ "ㄐㄩ2"
+ ],
+ "𠋭": [
+ "ㄅㄟ4"
+ ],
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+ "ㄅㄧ4"
+ ],
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+ "ㄙㄨㄛ3"
+ ],
+ "𠋵": [
+ "ㄑㄧㄢ3"
+ ],
+ "𠋶": [
+ "ㄇㄧㄥ3"
+ ],
+ "𠋷": [
+ "ㄔㄢ3"
+ ],
+ "𠋺": [
+ "ㄙㄠ1"
+ ],
+ "𠋻": [
+ "ㄐㄧ1"
+ ],
+ "𠌕": [
+ "ㄍㄨㄥ4"
+ ],
+ "𠌖": [
+ "ㄑㄩㄥ2"
+ ],
+ "𠌚": [
+ "ㄋㄨㄥ4",
+ "ㄖㄨㄥ4"
+ ],
+ "𠌞": [
+ "ㄙㄡ3"
+ ],
+ "𠌟": [
+ "ㄙㄡ3"
+ ],
+ "𠌠": [
+ "ㄧㄠ2"
+ ],
+ "𠌪": [
+ "ㄔㄡ1",
+ "ㄊㄠ1"
+ ],
+ "𠌭": [
+ "ㄕㄨㄞ4"
+ ],
+ "𠌮": [
+ "ㄓㄜ1"
+ ],
+ "𠌯": [
+ "ㄌㄧ4",
+ "ㄌㄧ2"
+ ],
+ "𠌰": [
+ "ㄍㄞ4"
+ ],
+ "𠌱": [
+ "ㄙㄨㄟ1"
+ ],
+ "𠌲": [
+ "ㄓㄢ1"
+ ],
+ "𠌴": [
+ "ㄓㄨㄤ4"
+ ],
+ "𠌽": [
+ "ㄈㄨ4"
+ ],
+ "𠍃": [
+ "ㄐㄧ1"
+ ],
+ "𠍄": [
+ "ㄉㄡ1"
+ ],
+ "𠍗": [
+ "ㄏㄨㄟ4"
+ ],
+ "𠍚": [
+ "ㄐㄧㄢ3"
+ ],
+ "𠍛": [
+ "ㄧㄢ3"
+ ],
+ "𠍜": [
+ "ㄓ4"
+ ],
+ "𠍨": [
+ "ㄇㄟ3"
+ ],
+ "𠍩": [
+ "ㄧㄠ4"
+ ],
+ "𠍪": [
+ "ㄉㄧ1"
+ ],
+ "𠍫": [
+ "ㄧ2"
+ ],
+ "𠍯": [
+ "ㄅㄧㄝ2"
+ ],
+ "𠍲": [
+ "ㄑㄩ2"
+ ],
+ "𠍳": [
+ "ㄧ4"
+ ],
+ "𠍵": [
+ "ㄧㄤ4"
+ ],
+ "𠍹": [
+ "ㄓㄚ2"
+ ],
+ "𠍽": [
+ "ㄕㄚ4"
+ ],
+ "𠎙": [
+ "ㄌㄞ2"
+ ],
+ "𠎮": [
+ "ㄐㄩㄝ2"
+ ],
+ "𠎰": [
+ "ㄑㄧ1"
+ ],
+ "𠎳": [
+ "ㄩ2"
+ ],
+ "𠎶": [
+ "ㄗㄞ3"
+ ],
+ "𠎷": [
+ "ㄙㄚ4"
+ ],
+ "𠎸": [
+ "ㄙㄜ4"
+ ],
+ "𠎻": [
+ "ㄉㄨㄣ4"
+ ],
+ "𠎿": [
+ "ㄐㄧㄝ3"
+ ],
+ "𠏀": [
+ "ㄎㄜ1"
+ ],
+ "𠏃": [
+ "ㄩㄝ1"
+ ],
+ "𠏇": [
+ "ㄐㄧㄢ3"
+ ],
+ "𠏈": [
+ "ㄧㄠ2"
+ ],
+ "𠏓": [
+ "ㄒㄧㄢ1"
+ ],
+ "𠏕": [
+ "ㄒㄧㄠ4"
+ ],
+ "𠏖": [
+ "ㄑㄧㄠ1"
+ ],
+ "𠏚": [
+ "ㄩ4"
+ ],
+ "𠏛": [
+ "ㄑㄩ2"
+ ],
+ "𠏡": [
+ "ㄒㄧㄢ1",
+ "ㄌㄧㄥ2"
+ ],
+ "𠏢": [
+ "ㄌㄨㄛ4"
+ ],
+ "𠏤": [
+ "ㄍㄨㄤ3"
+ ],
+ "𠏧": [
+ "ㄔㄥ1"
+ ],
+ "𠏨": [
+ "ㄔㄨㄤ3"
+ ],
+ "𠏩": [
+ "ㄧ2"
+ ],
+ "𠏫": [
+ "ㄓㄥ3"
+ ],
+ "𠏭": [
+ "ㄗㄨㄥ4"
+ ],
+ "𠏮": [
+ "ㄉㄨㄟ4"
+ ],
+ "𠏰": [
+ "ㄓㄞ3"
+ ],
+ "𠏿": [
+ "ㄈㄟ3"
+ ],
+ "𠐀": [
+ "ㄧ2"
+ ],
+ "𠐁": [
+ "ㄇㄥ2"
+ ],
+ "𠐈": [
+ "ㄅㄧㄢ1",
+ "ㄆㄧㄢ2"
+ ],
+ "𠐉": [
+ "ㄐㄧㄝ2"
+ ],
+ "𠐊": [
+ "ㄕㄨ4"
+ ],
+ "𠐋": [
+ "ㄌㄧㄠ2"
+ ],
+ "𠐌": [
+ "ㄅㄧ3",
+ "ㄅㄚ4"
+ ],
+ "𠐍": [
+ "ㄙㄨ2"
+ ],
+ "𠐑": [
+ "ㄉㄧ4"
+ ],
+ "𠐡": [
+ "ㄅㄟ4"
+ ],
+ "𠐢": [
+ "ㄨㄣ4"
+ ],
+ "𠐧": [
+ "ㄇㄥ2"
+ ],
+ "𠐩": [
+ "ㄔㄢ3"
+ ],
+ "𠐵": [
+ "ㄉㄠ3"
+ ],
+ "𠐺": [
+ "ㄆㄧㄣ2"
+ ],
+ "𠐻": [
+ "ㄐㄧㄢ3"
+ ],
+ "𠐼": [
+ "ㄌㄧㄣ4"
+ ],
+ "𠐽": [
+ "ㄍㄨㄟ4",
+ "ㄍㄨㄟ1"
+ ],
+ "𠐾": [
+ "ㄑㄧ1"
+ ],
+ "𠐿": [
+ "ㄏㄨㄥ1"
+ ],
+ "𠑃": [
+ "ㄐㄧ2"
+ ],
+ "𠑄": [
+ "ㄒㄧㄝ4"
+ ],
+ "𠑅": [
+ "ㄓㄥ1"
+ ],
+ "𠑆": [
+ "ㄔㄢ3"
+ ],
+ "𠑐": [
+ "ㄧㄠ2"
+ ],
+ "𠑑": [
+ "ㄔㄢ3"
+ ],
+ "𠑘": [
+ "ㄉㄧㄢ1"
+ ],
+ "𠑙": [
+ "ㄔㄨㄥ4"
+ ],
+ "𠑚": [
+ "ㄋㄟ2"
+ ],
+ "𠑛": [
+ "ㄋㄟ2"
+ ],
+ "𠑞": [
+ "ㄓㄞ4"
+ ],
+ "𠑟": [
+ "ㄅㄧㄢ1",
+ "ㄆㄧㄢ2"
+ ],
+ "𠑡": [
+ "ㄔㄢ3"
+ ],
+ "𠑪": [
+ "ㄒㄧㄠ1"
+ ],
+ "𠑯": [
+ "ㄘㄨ4"
+ ],
+ "𠑰": [
+ "ㄒㄧㄣ1"
+ ],
+ "𠑱": [
+ "ㄐㄧㄥ3"
+ ],
+ "𠑲": [
+ "ㄑㄧㄢ1"
+ ],
+ "𠑴": [
+ "ㄑㄧㄥ1"
+ ],
+ "𠑹": [
+ "ㄍㄨ3"
+ ],
+ "𠒄": [
+ "ㄨ4"
+ ],
+ "𠒜": [
+ "ㄩㄢ3"
+ ],
+ "𠒝": [
+ "ㄅㄧㄥ3"
+ ],
+ "𠒢": [
+ "ㄨㄢ2"
+ ],
+ "𠒰": [
+ "ㄋㄧㄠ3",
+ "ㄋㄧ2"
+ ],
+ "𠒵": [
+ "ㄌㄧㄢ4"
+ ],
+ "𠒸": [
+ "ㄖㄠ3"
+ ],
+ "𠒾": [
+ "ㄈㄢ4"
+ ],
+ "𠒿": [
+ "ㄉㄧ2"
+ ],
+ "𠓊": [
+ "ㄏㄨㄟ1",
+ "ㄉㄢ1"
+ ],
+ "𠓋": [
+ "ㄧ4"
+ ],
+ "𠓌": [
+ "ㄒㄧㄢ2"
+ ],
+ "𠓖": [
+ "ㄌㄢ2"
+ ],
+ "𠓗": [
+ "ㄈㄨ4"
+ ],
+ "𠓙": [
+ "ㄒㄩㄥ4"
+ ],
+ "𠓜": [
+ "ㄌㄧㄤ3"
+ ],
+ "𠓝": [
+ "ㄊㄠ1"
+ ],
+ "𠓞": [
+ "ㄐㄧ2"
+ ],
+ "𠓢": [
+ "ㄐㄧㄝ4"
+ ],
+ "𠓣": [
+ "ㄓㄚ2"
+ ],
+ "𠓤": [
+ "ㄕ1"
+ ],
+ "𠓪": [
+ "ㄑㄧ2"
+ ],
+ "𠓫": [
+ "ㄅㄧㄢ3"
+ ],
+ "𠓭": [
+ "ㄌㄢ3"
+ ],
+ "𠓮": [
+ "ㄌㄧㄣ3"
+ ],
+ "𠓶": [
+ "ㄓ4"
+ ],
+ "𠓷": [
+ "ㄅㄧ4",
+ "ㄔㄥ2"
+ ],
+ "𠓸": [
+ "ㄕㄥ4"
+ ],
+ "𠓽": [
+ "ㄕㄥ4"
+ ],
+ "𠓿": [
+ "ㄑㄧㄣ2"
+ ],
+ "𠔂": [
+ "ㄅㄧㄠ1"
+ ],
+ "𠔃": [
+ "ㄒㄧ1"
+ ],
+ "𠔉": [
+ "ㄐㄩㄢ4"
+ ],
+ "𠔋": [
+ "ㄐㄧ1",
+ "ㄒㄧㄣ4"
+ ],
+ "𠔍": [
+ "ㄒㄧ1"
+ ],
+ "𠔎": [
+ "ㄑㄧㄣ3"
+ ],
+ "𠔑": [
+ "ㄏㄞ4"
+ ],
+ "𠔕": [
+ "ㄌㄨㄣ2"
+ ],
+ "𠔠": [
+ "ㄩㄝ4"
+ ],
+ "𠔨": [
+ "ㄌㄧㄢ2"
+ ],
+ "𠔯": [
+ "ㄅㄢ1"
+ ],
+ "𠔲": [
+ "ㄏㄥ2"
+ ],
+ "𠔶": [
+ "ㄑㄧ1"
+ ],
+ "𠔺": [
+ "ㄑㄧㄢ1"
+ ],
+ "𠔻": [
+ "ㄓㄥ4"
+ ],
+ "𠔼": [
+ "ㄇㄠ3"
+ ],
+ "𠕁": [
+ "ㄘㄨㄥ2"
+ ],
+ "𠕄": [
+ "ㄋㄚ4"
+ ],
+ "𠕊": [
+ "ㄊㄧㄥ3"
+ ],
+ "𠕌": [
+ "ㄗㄨㄥ1"
+ ],
+ "𠕕": [
+ "ㄐㄩㄥ1"
+ ],
+ "𠕖": [
+ "ㄓㄠ3"
+ ],
+ "𠕟": [
+ "ㄋㄧㄢ3"
+ ],
+ "𠕠": [
+ "ㄔㄥ2"
+ ],
+ "𠕣": [
+ "ㄑㄧㄚ4"
+ ],
+ "𠕦": [
+ "ㄩ4"
+ ],
+ "𠕧": [
+ "ㄐㄧㄠ3"
+ ],
+ "𠕭": [
+ "ㄓㄠ4"
+ ],
+ "𠕳": [
+ "ㄉㄧ2"
+ ],
+ "𠕴": [
+ "ㄐㄧㄡ1"
+ ],
+ "𠕸": [
+ "ㄙㄨㄟ3"
+ ],
+ "𠕻": [
+ "ㄧㄠ1"
+ ],
+ "𠕿": [
+ "ㄨㄤ1"
+ ],
+ "𠖂": [
+ "ㄌㄧㄠ2"
+ ],
+ "𠖄": [
+ "ㄊㄨㄥ2"
+ ],
+ "𠖆": [
+ "ㄇㄥ4"
+ ],
+ "𠖋": [
+ "ㄧㄡ3"
+ ],
+ "𠖓": [
+ "ㄙ1"
+ ],
+ "𠖛": [
+ "ㄌㄡ4"
+ ],
+ "𠖟": [
+ "ㄧㄣ1"
+ ],
+ "𠖥": [
+ "ㄔㄨㄥ3"
+ ],
+ "𠖫": [
+ "ㄍㄢ3"
+ ],
+ "𠖬": [
+ "ㄐㄧㄡ1"
+ ],
+ "𠖶": [
+ "ㄑㄧㄣ4"
+ ],
+ "𠖷": [
+ "ㄐㄩㄥ3"
+ ],
+ "𠖹": [
+ "ㄒㄧㄝ2",
+ "ㄒㄧㄚ2"
+ ],
+ "𠗂": [
+ "ㄏㄜ4"
+ ],
+ "𠗆": [
+ "ㄊㄠ1"
+ ],
+ "𠗈": [
+ "ㄑㄧㄡ2"
+ ],
+ "𠗉": [
+ "ㄒㄧㄝ2"
+ ],
+ "𠗊": [
+ "ㄐㄧㄥ4"
+ ],
+ "𠗋": [
+ "ㄋㄧㄢ3"
+ ],
+ "𠗌": [
+ "ㄐㄧㄥ4"
+ ],
+ "𠗏": [
+ "ㄐㄧ2"
+ ],
+ "𠗘": [
+ "ㄊㄧㄢ3"
+ ],
+ "𠗚": [
+ "ㄘㄨㄟ4"
+ ],
+ "𠗛": [
+ "ㄉㄧㄝ2"
+ ],
+ "𠗝": [
+ "ㄑㄧㄥ3"
+ ],
+ "𠗥": [
+ "ㄆㄧㄥ4"
+ ],
+ "𠗦": [
+ "ㄆㄧㄥ2"
+ ],
+ "𠗨": [
+ "ㄉㄧㄝ2"
+ ],
+ "𠗩": [
+ "ㄌㄡ4"
+ ],
+ "𠗳": [
+ "ㄌㄧㄢ3"
+ ],
+ "𠗴": [
+ "ㄏㄢ2"
+ ],
+ "𠗵": [
+ "ㄆㄤ1"
+ ],
+ "𠗶": [
+ "ㄊㄤ2"
+ ],
+ "𠗺": [
+ "ㄧ2"
+ ],
+ "𠗻": [
+ "ㄒㄩㄢ2"
+ ],
+ "𠗼": [
+ "ㄙㄨㄛ4"
+ ],
+ "𠗽": [
+ "ㄌㄧㄡ2"
+ ],
+ "𠗾": [
+ "ㄕㄨㄤ3"
+ ],
+ "𠗿": [
+ "ㄕㄣ4"
+ ],
+ "𠘁": [
+ "ㄅㄨ4"
+ ],
+ "𠘂": [
+ "ㄙㄡ1"
+ ],
+ "𠘅": [
+ "ㄑㄧㄣ2"
+ ],
+ "𠘆": [
+ "ㄕㄣ3"
+ ],
+ "𠘊": [
+ "ㄋㄨㄥ4"
+ ],
+ "𠘋": [
+ "ㄊㄧㄥ3"
+ ],
+ "𠘌": [
+ "ㄐㄧㄤ1"
+ ],
+ "𠘕": [
+ "ㄒㄧ1"
+ ],
+ "𠘖": [
+ "ㄓ4"
+ ],
+ "𠘝": [
+ "ㄌㄞ4"
+ ],
+ "𠘞": [
+ "ㄌㄧ4"
+ ],
+ "𠘟": [
+ "ㄌㄧ4"
+ ],
+ "𠘢": [
+ "ㄏㄜ2"
+ ],
+ "𠘣": [
+ "ㄐㄧㄠ4"
+ ],
+ "𠘥": [
+ "ㄧㄢ2"
+ ],
+ "𠘧": [
+ "ㄕㄨ1"
+ ],
+ "𠘪": [
+ "ㄕ3"
+ ],
+ "𠘱": [
+ "ㄓㄣ3"
+ ],
+ "𠘳": [
+ "ㄧㄡ1"
+ ],
+ "𠘺": [
+ "ㄙㄨㄛ4"
+ ],
+ "𠘻": [
+ "ㄨ2"
+ ],
+ "𠙁": [
+ "ㄔㄤ2"
+ ],
+ "𠙂": [
+ "ㄘㄨㄥ2"
+ ],
+ "𠙆": [
+ "ㄐㄩ4"
+ ],
+ "𠙎": [
+ "ㄕㄨ1"
+ ],
+ "𠙔": [
+ "ㄐㄧㄡ4"
+ ],
+ "𠙕": [
+ "ㄨㄟ2"
+ ],
+ "𠙞": [
+ "ㄏㄨㄛ4"
+ ],
+ "𠙤": [
+ "ㄐㄧㄝ1"
+ ],
+ "𠙬": [
+ "ㄗㄠ3"
+ ],
+ "𠙶": [
+ "ㄡ3"
+ ],
+ "𠙼": [
+ "ㄍㄨㄚ3"
+ ],
+ "𠚃": [
+ "ㄏㄠ2"
+ ],
+ "𠚄": [
+ "ㄌㄧ3"
+ ],
+ "𠚅": [
+ "ㄓ4"
+ ],
+ "𠚆": [
+ "ㄒㄧㄢ4"
+ ],
+ "𠚉": [
+ "ㄅㄨ1"
+ ],
+ "𠚊": [
+ "ㄔㄤ4"
+ ],
+ "𠚓": [
+ "ㄩㄣ1"
+ ],
+ "𠚔": [
+ "ㄏㄜ2"
+ ],
+ "𠚜": [
+ "ㄊㄠ1"
+ ],
+ "𠚠": [
+ "ㄅㄧㄠ1"
+ ],
+ "𠚥": [
+ "ㄉㄧㄠ1"
+ ],
+ "𠚧": [
+ "ㄦ4"
+ ],
+ "𠚨": [
+ "ㄐㄧㄡ1"
+ ],
+ "𠚭": [
+ "ㄉㄧ4"
+ ],
+ "𠚮": [
+ "ㄧ4"
+ ],
+ "𠚯": [
+ "ㄎㄨㄣ1"
+ ],
+ "𠚱": [
+ "ㄓㄜ2"
+ ],
+ "𠚳": [
+ "ㄎㄨㄛ4"
+ ],
+ "𠚴": [
+ "ㄓㄡ1"
+ ],
+ "𠚵": [
+ "ㄐㄩ4"
+ ],
+ "𠚹": [
+ "ㄕㄢ4"
+ ],
+ "𠚺": [
+ "ㄕㄚ4"
+ ],
+ "𠚻": [
+ "ㄉㄧㄠ1"
+ ],
+ "𠚼": [
+ "ㄅㄢ1"
+ ],
+ "𠚽": [
+ "ㄐㄧ1"
+ ],
+ "𠛀": [
+ "ㄓㄨㄥ1"
+ ],
+ "𠛃": [
+ "ㄧ2"
+ ],
+ "𠛅": [
+ "ㄎㄡ1"
+ ],
+ "𠛆": [
+ "ㄨ1"
+ ],
+ "𠛊": [
+ "ㄍㄜ1"
+ ],
+ "𠛋": [
+ "ㄅㄚ1"
+ ],
+ "𠛎": [
+ "ㄍㄡ1"
+ ],
+ "𠛑": [
+ "ㄒㄧㄢ2"
+ ],
+ "𠛒": [
+ "ㄍㄨㄚ1"
+ ],
+ "𠛓": [
+ "ㄌㄧㄡ3"
+ ],
+ "𠛔": [
+ "ㄔ3"
+ ],
+ "𠛕": [
+ "ㄍㄨㄞ1"
+ ],
+ "𠛖": [
+ "ㄔㄨㄢ1"
+ ],
+ "𠛘": [
+ "ㄌㄧ2"
+ ],
+ "𠛙": [
+ "ㄘㄨ4"
+ ],
+ "𠛚": [
+ "ㄕㄨㄚ1"
+ ],
+ "𠛡": [
+ "ㄅㄧ3"
+ ],
+ "𠛥": [
+ "ㄅㄧㄥ3"
+ ],
+ "𠛦": [
+ "ㄌㄧ4"
+ ],
+ "𠛩": [
+ "ㄐㄧㄡ3"
+ ],
+ "𠛪": [
+ "ㄊㄧㄠ1",
+ "ㄉㄧㄠ1"
+ ],
+ "𠛫": [
+ "ㄉㄨㄛ3"
+ ],
+ "𠛭": [
+ "ㄧㄢ1",
+ "ㄩㄢ1"
+ ],
+ "𠛮": [
+ "ㄑㄩㄢ1"
+ ],
+ "𠛱": [
+ "ㄌㄧㄝ4",
+ "ㄗㄚ1"
+ ],
+ "𠛳": [
+ "ㄎㄜ4",
+ "ㄏㄜ2"
+ ],
+ "𠛵": [
+ "ㄍㄣ1"
+ ],
+ "𠛶": [
+ "ㄓㄣ1"
+ ],
+ "𠛸": [
+ "ㄈㄣ2"
+ ],
+ "𠜁": [
+ "ㄧ2"
+ ],
+ "𠜃": [
+ "ㄐㄧㄡ4"
+ ],
+ "𠜄": [
+ "ㄒㄩ4"
+ ],
+ "𠜅": [
+ "ㄐㄧㄠ3"
+ ],
+ "𠜈": [
+ "ㄌㄩ4"
+ ],
+ "𠜉": [
+ "ㄐㄧㄡ3"
+ ],
+ "𠜋": [
+ "ㄔㄡ3"
+ ],
+ "𠜎": [
+ "ㄒㄧㄢ4"
+ ],
+ "𠜐": [
+ "ㄎㄨㄞ4"
+ ],
+ "𠜑": [
+ "ㄉㄨㄟ4"
+ ],
+ "𠜖": [
+ "ㄌㄨㄛ1"
+ ],
+ "𠜗": [
+ "ㄒㄧ1",
+ "ㄒㄧ4"
+ ],
+ "𠜘": [
+ "ㄑㄧㄣ4"
+ ],
+ "𠜙": [
+ "ㄅㄨ4"
+ ],
+ "𠜤": [
+ "ㄑㄧㄚ4"
+ ],
+ "𠜱": [
+ "ㄆㄧ1"
+ ],
+ "𠜲": [
+ "ㄧㄚ1"
+ ],
+ "𠜳": [
+ "ㄅㄥ1"
+ ],
+ "𠜴": [
+ "ㄍㄨㄛ3"
+ ],
+ "𠜵": [
+ "ㄍㄨㄚ1"
+ ],
+ "𠜹": [
+ "ㄐㄩ2"
+ ],
+ "𠜼": [
+ "ㄑㄧㄚ1"
+ ],
+ "𠜾": [
+ "ㄐㄩㄝ2",
+ "ㄍㄨㄟ4"
+ ],
+ "𠝄": [
+ "ㄌㄧ4"
+ ],
+ "𠝐": [
+ "ㄏㄨㄚ1"
+ ],
+ "𠝑": [
+ "ㄐㄧㄠ1"
+ ],
+ "𠝘": [
+ "ㄑㄧㄚ4"
+ ],
+ "𠝚": [
+ "ㄓㄚ2",
+ "ㄓㄜ2"
+ ],
+ "𠝛": [
+ "ㄑㄧㄚ1"
+ ],
+ "𠝝": [
+ "ㄓㄜ2",
+ "ㄓㄚ2"
+ ],
+ "𠝞": [
+ "ㄔㄚ1"
+ ],
+ "𠝟": [
+ "ㄧㄥ3"
+ ],
+ "𠝢": [
+ "ㄧㄢ1"
+ ],
+ "𠝤": [
+ "ㄔㄨㄥ1"
+ ],
+ "𠝨": [
+ "ㄔ3"
+ ],
+ "𠝪": [
+ "ㄨㄢ1"
+ ],
+ "𠝬": [
+ "ㄙㄡ1"
+ ],
+ "𠝲": [
+ "ㄎㄢ3"
+ ],
+ "𠝳": [
+ "ㄩㄢ2"
+ ],
+ "𠝽": [
+ "ㄔㄡ2"
+ ],
+ "𠝿": [
+ "ㄙㄨㄛ3"
+ ],
+ "𠞀": [
+ "ㄊㄨ1"
+ ],
+ "𠞃": [
+ "ㄓㄜ2"
+ ],
+ "𠞄": [
+ "ㄊㄧ1",
+ "ㄔ3"
+ ],
+ "𠞆": [
+ "ㄨ1"
+ ],
+ "𠞈": [
+ "ㄉㄚ1"
+ ],
+ "𠞉": [
+ "ㄌㄧ4"
+ ],
+ "𠞊": [
+ "ㄔㄚ1",
+ "ㄔㄞ1",
+ "ㄔㄚ2"
+ ],
+ "𠞕": [
+ "ㄖㄨㄥ2"
+ ],
+ "𠞖": [
+ "ㄍㄨㄥ4"
+ ],
+ "𠞗": [
+ "ㄑㄩㄝ4"
+ ],
+ "𠞙": [
+ "ㄌㄧ2"
+ ],
+ "𠞞": [
+ "ㄊㄠ1"
+ ],
+ "𠞤": [
+ "ㄌㄧ4"
+ ],
+ "𠞧": [
+ "ㄇㄧ2"
+ ],
+ "𠞩": [
+ "ㄔ4",
+ "ㄕㄨㄞ4"
+ ],
+ "𠞬": [
+ "ㄍㄨㄣ4"
+ ],
+ "𠞭": [
+ "ㄌㄡ2",
+ "ㄌㄡ4"
+ ],
+ "𠞮": [
+ "ㄔㄨㄤ3"
+ ],
+ "𠞯": [
+ "ㄙㄨㄛ3"
+ ],
+ "𠞰": [
+ "ㄐㄧㄠ3"
+ ],
+ "𠞱": [
+ "ㄐㄧㄣ4"
+ ],
+ "𠞵": [
+ "ㄈㄚ2"
+ ],
+ "𠞶": [
+ "ㄓㄞ1"
+ ],
+ "𠞾": [
+ "ㄐㄧㄣ4"
+ ],
+ "𠞿": [
+ "ㄘㄨㄟ4"
+ ],
+ "𠟂": [
+ "ㄘㄥ4"
+ ],
+ "𠟃": [
+ "ㄗㄨㄣ3"
+ ],
+ "𠟅": [
+ "ㄓㄠ4",
+ "ㄖ4",
+ "ㄓ4"
+ ],
+ "𠟈": [
+ "ㄆㄧㄝ1"
+ ],
+ "𠟉": [
+ "ㄓㄢ3",
+ "ㄔㄢ4"
+ ],
+ "𠟊": [
+ "ㄒㄧ1"
+ ],
+ "𠟋": [
+ "ㄧㄠ4"
+ ],
+ "𠟌": [
+ "ㄈㄨ3",
+ "ㄆㄡ3"
+ ],
+ "𠟍": [
+ "ㄔㄨㄥ1"
+ ],
+ "𠟓": [
+ "ㄘㄨㄟ4"
+ ],
+ "𠟗": [
+ "ㄍㄨㄚ1"
+ ],
+ "𠟣": [
+ "ㄐㄧ1"
+ ],
+ "𠟦": [
+ "ㄙㄜ4"
+ ],
+ "𠟧": [
+ "ㄓㄢ1"
+ ],
+ "𠟨": [
+ "ㄌㄧㄥ4",
+ "ㄌㄧㄥ2"
+ ],
+ "𠟩": [
+ "ㄙㄜ4"
+ ],
+ "𠟪": [
+ "ㄧㄝ4"
+ ],
+ "𠟰": [
+ "ㄐㄩ1"
+ ],
+ "𠟶": [
+ "ㄊㄨ1"
+ ],
+ "𠟺": [
+ "ㄖㄨ2",
+ "ㄖㄨㄢ3"
+ ],
+ "𠟻": [
+ "ㄗㄜ2",
+ "ㄅㄞ4"
+ ],
+ "𠟼": [
+ "ㄏㄨㄢ2"
+ ],
+ "𠠁": [
+ "ㄒㄧㄢ3"
+ ],
+ "𠠃": [
+ "ㄑㄧㄢ1"
+ ],
+ "𠠄": [
+ "ㄓㄠ4"
+ ],
+ "𠠋": [
+ "ㄘㄢ2"
+ ],
+ "𠠎": [
+ "ㄎㄨㄛ4"
+ ],
+ "𠠏": [
+ "ㄌㄧ4"
+ ],
+ "𠠐": [
+ "ㄖㄡ2"
+ ],
+ "𠠔": [
+ "ㄉㄨ2"
+ ],
+ "𠠗": [
+ "ㄌㄧㄝ4"
+ ],
+ "𠠜": [
+ "ㄧㄥ1"
+ ],
+ "𠠝": [
+ "ㄌㄧ4"
+ ],
+ "𠠠": [
+ "ㄉㄨ2"
+ ],
+ "𠠢": [
+ "ㄌㄧㄥ2"
+ ],
+ "𠠪": [
+ "ㄨㄢ1"
+ ],
+ "𠠯": [
+ "ㄉㄧㄝ2"
+ ],
+ "𠠳": [
+ "ㄐㄧㄡ1"
+ ],
+ "𠠵": [
+ "ㄌㄧ4"
+ ],
+ "𠠶": [
+ "ㄎㄨ1"
+ ],
+ "𠠷": [
+ "ㄎㄥ1"
+ ],
+ "𠠹": [
+ "ㄓㄣ3"
+ ],
+ "𠡀": [
+ "ㄏㄜ4"
+ ],
+ "𠡂": [
+ "ㄅㄧ4",
+ "ㄈㄨ2"
+ ],
+ "𠡄": [
+ "ㄆㄧ1"
+ ],
+ "𠡊": [
+ "ㄏㄤ1"
+ ],
+ "𠡑": [
+ "ㄓㄨㄛ2"
+ ],
+ "𠡒": [
+ "ㄉㄨㄟ3"
+ ],
+ "𠡔": [
+ "ㄧ4"
+ ],
+ "𠡜": [
+ "ㄎㄜ4"
+ ],
+ "𠡝": [
+ "ㄧ4"
+ ],
+ "𠡞": [
+ "ㄇㄛ4"
+ ],
+ "𠡡": [
+ "ㄘㄢ2"
+ ],
+ "𠡣": [
+ "ㄍㄥ3"
+ ],
+ "𠡤": [
+ "ㄎㄜ4"
+ ],
+ "𠡥": [
+ "ㄕ4"
+ ],
+ "𠡭": [
+ "ㄌㄧㄥ2",
+ "ㄌㄧㄥ4"
+ ],
+ "𠡮": [
+ "ㄅㄥ1",
+ "ㄎㄥ1"
+ ],
+ "𠡱": [
+ "ㄉㄨㄢ4"
+ ],
+ "𠡶": [
+ "ㄐㄩㄢ1"
+ ],
+ "𠡷": [
+ "ㄋㄠ3"
+ ],
+ "𠡸": [
+ "ㄗ3"
+ ],
+ "𠡻": [
+ "ㄗㄨㄥ4"
+ ],
+ "𠢃": [
+ "ㄊㄤ2"
+ ],
+ "𠢆": [
+ "ㄒㄧㄚ2"
+ ],
+ "𠢇": [
+ "ㄏㄢ4"
+ ],
+ "𠢌": [
+ "ㄌㄩㄝ4"
+ ],
+ "𠢍": [
+ "ㄑㄧㄢ2"
+ ],
+ "𠢓": [
+ "ㄇㄛ4"
+ ],
+ "𠢔": [
+ "ㄡ1"
+ ],
+ "𠢕": [
+ "ㄏㄠ2"
+ ],
+ "𠢙": [
+ "ㄓㄚ2"
+ ],
+ "𠢚": [
+ "ㄐㄩㄢ4"
+ ],
+ "𠢛": [
+ "ㄘㄨㄥ2"
+ ],
+ "𠢠": [
+ "ㄌㄧ4",
+ "ㄐㄧ2"
+ ],
+ "𠢡": [
+ "ㄓㄚ2"
+ ],
+ "𠢢": [
+ "ㄧㄡ3"
+ ],
+ "𠢣": [
+ "ㄉㄧㄢ4"
+ ],
+ "𠢤": [
+ "ㄐㄩㄝ2"
+ ],
+ "𠢥": [
+ "ㄅㄟ4"
+ ],
+ "𠢩": [
+ "ㄧㄠ3"
+ ],
+ "𠢪": [
+ "ㄆㄧㄝ1"
+ ],
+ "𠢱": [
+ "ㄐㄧㄣ4"
+ ],
+ "𠢲": [
+ "ㄎㄞ3",
+ "ㄒㄧㄝ4"
+ ],
+ "𠢳": [
+ "ㄙㄜ4"
+ ],
+ "𠢴": [
+ "ㄧㄤ3"
+ ],
+ "𠢵": [
+ "ㄐㄧㄣ4"
+ ],
+ "𠢹": [
+ "ㄎㄜ4"
+ ],
+ "𠣄": [
+ "ㄔㄢ1"
+ ],
+ "𠣇": [
+ "ㄋㄧㄢ3"
+ ],
+ "𠣉": [
+ "ㄨㄢ4"
+ ],
+ "𠣊": [
+ "ㄌㄩ4"
+ ],
+ "𠣐": [
+ "ㄩㄣ2"
+ ],
+ "𠣑": [
+ "ㄧㄠ1"
+ ],
+ "𠣒": [
+ "ㄅㄠ1"
+ ],
+ "𠣕": [
+ "ㄐㄩㄣ1"
+ ],
+ "𠣖": [
+ "ㄒㄩㄢ2"
+ ],
+ "𠣘": [
+ "ㄓㄡ1"
+ ],
+ "𠣠": [
+ "ㄎㄨㄟ4"
+ ],
+ "𠣡": [
+ "ㄈㄥ4"
+ ],
+ "𠣪": [
+ "ㄑㄩ2"
+ ],
+ "𠣫": [
+ "ㄕㄠ4"
+ ],
+ "𠣬": [
+ "ㄙㄨㄣ3"
+ ],
+ "𠣰": [
+ "ㄉㄨ1"
+ ],
+ "𠣲": [
+ "ㄎㄨㄞ3"
+ ],
+ "𠣳": [
+ "ㄆㄠ4"
+ ],
+ "𠣺": [
+ "ㄅㄠ4"
+ ],
+ "𠣾": [
+ "ㄈㄨ4"
+ ],
+ "𠣿": [
+ "ㄐㄧㄡ4"
+ ],
+ "𠤀": [
+ "ㄖㄢ2"
+ ],
+ "𠤄": [
+ "ㄐㄩ1"
+ ],
+ "𠤊": [
+ "ㄑㄩㄥ2"
+ ],
+ "𠤍": [
+ "ㄓㄡ1"
+ ],
+ "𠤎": [
+ "ㄏㄨㄚ4"
+ ],
+ "𠤏": [
+ "ㄅㄠ3"
+ ],
+ "𠤕": [
+ "ㄧ2",
+ "ㄒㄧㄢ2"
+ ],
+ "𠤗": [
+ "ㄧ2"
+ ],
+ "𠤘": [
+ "ㄧ2",
+ "ㄧ3"
+ ],
+ "𠤝": [
+ "ㄇㄠ4"
+ ],
+ "𠤦": [
+ "ㄖㄨㄢ3",
+ "ㄖㄨ2"
+ ],
+ "𠤫": [
+ "ㄘ2"
+ ],
+ "𠤮": [
+ "ㄏㄢ2"
+ ],
+ "𠤰": [
+ "ㄘㄨㄥ2",
+ "ㄒㄩㄢ2"
+ ],
+ "𠤴": [
+ "ㄒㄧ4"
+ ],
+ "𠤹": [
+ "ㄑㄩㄢ2"
+ ],
+ "𠤺": [
+ "ㄊㄧㄠ2"
+ ],
+ "𠤼": [
+ "ㄉㄧㄠ4"
+ ],
+ "𠤾": [
+ "ㄏㄢ2"
+ ],
+ "𠥇": [
+ "ㄧㄝ3"
+ ],
+ "𠥍": [
+ "ㄜ1"
+ ],
+ "𠥎": [
+ "ㄨㄟ2"
+ ],
+ "𠥐": [
+ "ㄘㄤ1"
+ ],
+ "𠥑": [
+ "ㄉㄧㄠ4"
+ ],
+ "𠥕": [
+ "ㄜ4"
+ ],
+ "𠥖": [
+ "ㄉㄧ4"
+ ],
+ "𠥘": [
+ "ㄙㄨㄢ3"
+ ],
+ "𠥙": [
+ "ㄑㄩㄢ2"
+ ],
+ "𠥜": [
+ "ㄜ4"
+ ],
+ "𠥝": [
+ "ㄡ1",
+ "ㄡ3"
+ ],
+ "𠥞": [
+ "ㄒㄩㄢ2"
+ ],
+ "𠥢": [
+ "ㄨ3"
+ ],
+ "𠥦": [
+ "ㄧ4"
+ ],
+ "𠥨": [
+ "ㄇㄡ2"
+ ],
+ "𠥰": [
+ "ㄏㄨ1"
+ ],
+ "𠥴": [
+ "ㄏㄢ2",
+ "ㄍㄢ1"
+ ],
+ "𠥿": [
+ "ㄕ2"
+ ],
+ "𠦃": [
+ "ㄙㄚ4"
+ ],
+ "𠦈": [
+ "ㄅㄧ4"
+ ],
+ "𠦊": [
+ "ㄏㄢ2"
+ ],
+ "𠦋": [
+ "ㄐㄧㄥ4"
+ ],
+ "𠦌": [
+ "ㄒㄧ4"
+ ],
+ "𠦎": [
+ "ㄑㄧㄣ4"
+ ],
+ "𠦏": [
+ "ㄘㄨㄛ2"
+ ],
+ "𠦐": [
+ "ㄘ4"
+ ],
+ "𠦒": [
+ "ㄅㄢ1"
+ ],
+ "𠦗": [
+ "ㄉㄨㄟ1"
+ ],
+ "𠦜": [
+ "ㄒㄧ4",
+ "ㄕㄨ4"
+ ],
+ "𠦧": [
+ "ㄓ1"
+ ],
+ "𠦨": [
+ "ㄌㄨㄢ4"
+ ],
+ "𠦪": [
+ "ㄏㄨ1"
+ ],
+ "𠦫": [
+ "ㄐㄧ2"
+ ],
+ "𠦬": [
+ "ㄍㄨㄞ1"
+ ],
+ "𠦲": [
+ "ㄆㄤ1"
+ ],
+ "𠧀": [
+ "ㄓㄨ1"
+ ],
+ "𠧅": [
+ "ㄅㄧ3"
+ ],
+ "𠧇": [
+ "ㄩ2"
+ ],
+ "𠧒": [
+ "ㄑㄧ3"
+ ],
+ "𠧕": [
+ "ㄏㄜ2"
+ ],
+ "𠧖": [
+ "ㄔㄨ3"
+ ],
+ "𠧙": [
+ "ㄕㄠ4"
+ ],
+ "𠧚": [
+ "ㄔ4"
+ ],
+ "𠧛": [
+ "ㄅㄛ2"
+ ],
+ "𠧟": [
+ "ㄖㄥ2",
+ "ㄋㄞ3"
+ ],
+ "𠧠": [
+ "ㄧㄡ2"
+ ],
+ "𠧤": [
+ "ㄋㄞ3"
+ ],
+ "𠧩": [
+ "ㄏㄨㄟ4",
+ "ㄏㄨㄟ3"
+ ],
+ "𠧪": [
+ "ㄊㄧㄠ2",
+ "ㄧㄡ3"
+ ],
+ "𠧫": [
+ "ㄅㄢ3"
+ ],
+ "𠧰": [
+ "ㄒㄩ1"
+ ],
+ "𠧴": [
+ "ㄧㄡ2",
+ "ㄧㄡ4"
+ ],
+ "𠧵": [
+ "ㄔ4"
+ ],
+ "𠧿": [
+ "ㄏㄥ2"
+ ],
+ "𠨃": [
+ "ㄨㄞ4"
+ ],
+ "𠨆": [
+ "ㄒㄧㄝ4"
+ ],
+ "𠨊": [
+ "ㄐㄩㄝ2"
+ ],
+ "𠨌": [
+ "ㄙㄨㄟ1"
+ ],
+ "𠨍": [
+ "ㄑㄧㄥ1"
+ ],
+ "𠨎": [
+ "ㄓㄨㄢ4"
+ ],
+ "𠨕": [
+ "ㄐㄧ4"
+ ],
+ "𠨘": [
+ "ㄅㄧ4"
+ ],
+ "𠨚": [
+ "ㄒㄧ1"
+ ],
+ "𠨠": [
+ "ㄐㄧ2"
+ ],
+ "𠨢": [
+ "ㄐㄩㄣ4"
+ ],
+ "𠨥": [
+ "ㄌㄧㄠ2"
+ ],
+ "𠨦": [
+ "ㄧㄡ1"
+ ],
+ "𠨭": [
+ "ㄐㄩ2"
+ ],
+ "𠨲": [
+ "ㄩㄝ4"
+ ],
+ "𠨵": [
+ "ㄅㄤ4"
+ ],
+ "𠨸": [
+ "ㄆㄧ2"
+ ],
+ "𠨻": [
+ "ㄗㄜ4"
+ ],
+ "𠨾": [
+ "ㄧ4"
+ ],
+ "𠨿": [
+ "ㄉㄧ3"
+ ],
+ "𠩂": [
+ "ㄑㄧㄝ4"
+ ],
+ "𠩄": [
+ "ㄙㄨㄛ3"
+ ],
+ "𠩆": [
+ "ㄘ4"
+ ],
+ "𠩈": [
+ "ㄓㄨ4"
+ ],
+ "𠩉": [
+ "ㄩㄝ4",
+ "ㄐㄩ2"
+ ],
+ "𠩏": [
+ "ㄐㄧㄠ1"
+ ],
+ "𠩔": [
+ "ㄕ2"
+ ],
+ "𠩗": [
+ "ㄧ2"
+ ],
+ "𠩘": [
+ "ㄒㄧㄚ2"
+ ],
+ "𠩠": [
+ "ㄩㄢ2"
+ ],
+ "𠩥": [
+ "ㄍㄨㄛ2"
+ ],
+ "𠩧": [
+ "ㄎㄜ4"
+ ],
+ "𠩪": [
+ "ㄘㄨㄟ4"
+ ],
+ "𠩫": [
+ "ㄧ4"
+ ],
+ "𠩵": [
+ "ㄌㄧ4"
+ ],
+ "𠩷": [
+ "ㄉㄧㄢ3"
+ ],
+ "𠩺": [
+ "ㄒㄧ1",
+ "ㄔ2"
+ ],
+ "𠩿": [
+ "ㄅㄧ4"
+ ],
+ "𠪂": [
+ "ㄅㄧㄢ3"
+ ],
+ "𠪃": [
+ "ㄇㄟ2"
+ ],
+ "𠪄": [
+ "ㄌㄧ4"
+ ],
+ "𠪇": [
+ "ㄙㄡ3"
+ ],
+ "𠪐": [
+ "ㄌㄧㄡ2"
+ ],
+ "𠪑": [
+ "ㄍㄨㄟ4"
+ ],
+ "𠪒": [
+ "ㄎㄜ4"
+ ],
+ "𠪗": [
+ "ㄧ2"
+ ],
+ "𠪙": [
+ "ㄒㄧ3"
+ ],
+ "𠪚": [
+ "ㄧㄣ2",
+ "ㄢ3",
+ "ㄎㄢ3"
+ ],
+ "𠪟": [
+ "ㄎㄜ4"
+ ],
+ "𠪣": [
+ "ㄕㄜ4"
+ ],
+ "𠪧": [
+ "ㄨㄛ3"
+ ],
+ "𠪮": [
+ "ㄆㄧ4"
+ ],
+ "𠪶": [
+ "ㄩㄝ4"
+ ],
+ "𠪷": [
+ "ㄏㄨㄥ2"
+ ],
+ "𠪺": [
+ "ㄌㄧ4"
+ ],
+ "𠪻": [
+ "ㄈㄨ4"
+ ],
+ "𠫃": [
+ "ㄐㄩㄝ2"
+ ],
+ "𠫄": [
+ "ㄒㄧㄢ1"
+ ],
+ "𠫉": [
+ "ㄉㄧㄢ1"
+ ],
+ "𠫌": [
+ "ㄌㄧ4"
+ ],
+ "𠫓": [
+ "ㄊㄨ1"
+ ],
+ "𠫘": [
+ "ㄐㄧㄢ1"
+ ],
+ "𠫛": [
+ "ㄅㄞ3"
+ ],
+ "𠫜": [
+ "ㄉㄧ4"
+ ],
+ "𠫝": [
+ "ㄓㄤ3"
+ ],
+ "𠫣": [
+ "ㄩ4"
+ ],
+ "𠫨": [
+ "ㄉㄨㄟ4"
+ ],
+ "𠫭": [
+ "ㄘㄢ1"
+ ],
+ "𠫮": [
+ "ㄊㄨ2"
+ ],
+ "𠫶": [
+ "ㄊㄢ1"
+ ],
+ "𠫷": [
+ "ㄐㄧ2"
+ ],
+ "𠫸": [
+ "ㄑㄧ2",
+ "ㄓㄞ1"
+ ],
+ "𠫹": [
+ "ㄕㄢ4"
+ ],
+ "𠫺": [
+ "ㄋㄧㄢ2",
+ "ㄕ4"
+ ],
+ "𠬆": [
+ "ㄍㄨㄢ4"
+ ],
+ "𠬈": [
+ "ㄅㄧ3"
+ ],
+ "𠬋": [
+ "ㄒㄧㄥ1",
+ "ㄋㄧㄢ2"
+ ],
+ "𠬓": [
+ "ㄓㄣ3"
+ ],
+ "𠬙": [
+ "ㄙㄚ1"
+ ],
+ "𠬛": [
+ "ㄇㄛ4"
+ ],
+ "𠬝": [
+ "ㄈㄨ2"
+ ],
+ "𠬢": [
+ "ㄊㄠ1"
+ ],
+ "𠬣": [
+ "ㄅㄤ4"
+ ],
+ "𠬪": [
+ "ㄅㄧㄠ4"
+ ],
+ "𠬬": [
+ "ㄒㄧ1"
+ ],
+ "𠬮": [
+ "ㄐㄧㄝ2"
+ ],
+ "𠬶": [
+ "ㄐㄧㄣ4"
+ ],
+ "𠬾": [
+ "ㄑㄧㄢ1"
+ ],
+ "𠭈": [
+ "ㄙ4"
+ ],
+ "𠭉": [
+ "ㄐㄧㄥ3"
+ ],
+ "𠭋": [
+ "ㄔ3"
+ ],
+ "𠭗": [
+ "ㄐㄧㄥ3"
+ ],
+ "𠭥": [
+ "ㄙㄨㄟ4"
+ ],
+ "𠭯": [
+ "ㄓㄚ1"
+ ],
+ "𠭰": [
+ "ㄌㄧ2"
+ ],
+ "𠭴": [
+ "ㄓㄨㄛ1"
+ ],
+ "𠭹": [
+ "ㄅㄧㄢ4"
+ ],
+ "𠭿": [
+ "ㄊㄨㄣ2"
+ ],
+ "𠮃": [
+ "ㄅㄧ4"
+ ],
+ "𠮆": [
+ "ㄈㄟ4"
+ ],
+ "𠮊": [
+ "ㄉㄜ2"
+ ],
+ "𠮌": [
+ "ㄓㄨ2"
+ ],
+ "𠮑": [
+ "ㄐㄩ1"
+ ],
+ "𠮙": [
+ "ㄧ3"
+ ],
+ "𠮜": [
+ "ㄧㄚ4",
+ "ㄧㄣ1"
+ ],
+ "𠮟": [
+ "ㄔ4"
+ ],
+ "𠮠": [
+ "ㄍㄨㄚ3",
+ "ㄅㄞ3"
+ ],
+ "𠮡": [
+ "ㄓ3"
+ ],
+ "𠮨": [
+ "ㄖㄥ2"
+ ],
+ "𠮫": [
+ "ㄧㄡ1"
+ ],
+ "𠮭": [
+ "ㄅㄛ2"
+ ],
+ "𠮯": [
+ "ㄐㄧ3"
+ ],
+ "𠮰": [
+ "ㄆㄧㄣ3"
+ ],
+ "𠮳": [
+ "ㄧㄥ1"
+ ],
+ "𠮴": [
+ "ㄧㄤ1"
+ ],
+ "𠮵": [
+ "ㄇㄤ4"
+ ],
+ "𠮽": [
+ "ㄌㄨㄥ4"
+ ],
+ "𠮾": [
+ "ㄣ4",
+ "ㄋㄍ4"
+ ],
+ "𠮿": [
+ "ㄙㄚ5",
+ "ㄙㄢ5"
+ ],
+ "𠯀": [
+ "ㄔㄨㄢ1"
+ ],
+ "𠯂": [
+ "ㄘ2"
+ ],
+ "𠯃": [
+ "ㄨ3"
+ ],
+ "𠯄": [
+ "ㄖㄣ4"
+ ],
+ "𠯈": [
+ "ㄉㄞ4"
+ ],
+ "𠯉": [
+ "ㄐㄧ2"
+ ],
+ "𠯋": [
+ "ㄧ3"
+ ],
+ "𠯍": [
+ "ㄖㄢ2"
+ ],
+ "𠯐": [
+ "ㄏㄨㄛ4"
+ ],
+ "𠯑": [
+ "ㄍㄨㄚ1"
+ ],
+ "𠯓": [
+ "ㄓㄜ2"
+ ],
+ "𠯔": [
+ "ㄆㄧ4"
+ ],
+ "𠯗": [
+ "ㄗㄚ1"
+ ],
+ "𠯘": [
+ "ㄅㄢ4"
+ ],
+ "𠯙": [
+ "ㄐㄧㄝ2"
+ ],
+ "𠯜": [
+ "ㄏㄡ1",
+ "ㄒㄩ3"
+ ],
+ "𠯟": [
+ "ㄒㄧㄢ4"
+ ],
+ "𠯠": [
+ "ㄏㄨㄟ1"
+ ],
+ "𠯩": [
+ "ㄓㄚ1"
+ ],
+ "𠯪": [
+ "ㄉㄞ1",
+ "ㄉㄞ3",
+ "ㄜ4"
+ ],
+ "𠯫": [
+ "ㄍㄜ1"
+ ],
+ "𠯭": [
+ "ㄆㄧ4"
+ ],
+ "𠯯": [
+ "ㄆㄧㄢ4"
+ ],
+ "𠯰": [
+ "ㄕ2"
+ ],
+ "𠯱": [
+ "ㄌㄧㄤ3"
+ ],
+ "𠯲": [
+ "ㄩㄝ4"
+ ],
+ "𠯳": [
+ "ㄏㄨ4",
+ "ㄨㄣ3"
+ ],
+ "𠯴": [
+ "ㄅㄧㄢ4"
+ ],
+ "𠯷": [
+ "ㄖㄥ2"
+ ],
+ "𠯹": [
+ "ㄖㄥ2"
+ ],
+ "𠰄": [
+ "ㄧ1"
+ ],
+ "𠰅": [
+ "ㄓ1"
+ ],
+ "𠰇": [
+ "ㄐㄧㄣ1"
+ ],
+ "𠰈": [
+ "ㄨㄥ1"
+ ],
+ "𠰉": [
+ "ㄔㄠ1"
+ ],
+ "𠰋": [
+ "ㄑㄧㄡ1"
+ ],
+ "𠰍": [
+ "ㄓㄨ3",
+ "ㄓㄨ4"
+ ],
+ "𠰏": [
+ "ㄓㄚ2"
+ ],
+ "𠰐": [
+ "ㄆㄛ3"
+ ],
+ "𠰑": [
+ "ㄢ4"
+ ],
+ "𠰓": [
+ "ㄏㄜ2"
+ ],
+ "𠰕": [
+ "ㄔㄨ1"
+ ],
+ "𠰖": [
+ "ㄧㄢ2"
+ ],
+ "𠰚": [
+ "ㄕ4"
+ ],
+ "𠰛": [
+ "ㄏㄨ4",
+ "ㄍㄠ4"
+ ],
+ "𠰜": [
+ "ㄜ4"
+ ],
+ "𠰴": [
+ "ㄕ2"
+ ],
+ "𠰹": [
+ "ㄊㄨㄛ1"
+ ],
+ "𠰺": [
+ "ㄉㄞ4"
+ ],
+ "𠰻": [
+ "ㄨㄞ4",
+ "ㄨㄞ5"
+ ],
+ "𠰼": [
+ "ㄆㄛ1"
+ ],
+ "𠰽": [
+ "ㄖㄨㄥ3"
+ ],
+ "𠰾": [
+ "ㄐㄩ1"
+ ],
+ "𠱀": [
+ "ㄅㄛ1"
+ ],
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+ "ㄩ3"
+ ],
+ "𠱑": [
+ "ㄉㄡ1"
+ ],
+ "𠱓": [
+ "ㄍㄨㄟ3"
+ ],
+ "𠱔": [
+ "ㄕㄡ4"
+ ],
+ "𠱗": [
+ "ㄙㄨㄛ1"
+ ],
+ "𠱘": [
+ "ㄋㄧ4"
+ ],
+ "𠱙": [
+ "ㄓㄡ1",
+ "ㄩ4",
+ "ㄐㄧ4",
+ "ㄘㄨ4"
+ ],
+ "𠱚": [
+ "ㄌㄨㄥ4"
+ ],
+ "𠱛": [
+ "ㄅㄧㄥ3"
+ ],
+ "𠱜": [
+ "ㄗㄨㄣ4"
+ ],
+ "𠱝": [
+ "ㄧㄝ4"
+ ],
+ "𠱞": [
+ "ㄖㄢ3"
+ ],
+ "𠱠": [
+ "ㄌㄧㄥ2"
+ ],
+ "𠱡": [
+ "ㄙㄚ4",
+ "ㄕㄞ4"
+ ],
+ "𠱤": [
+ "ㄌㄟ3"
+ ],
+ "𠱥": [
+ "ㄜ4",
+ "ㄏㄨㄟ4",
+ "ㄗㄚ2"
+ ],
+ "𠱧": [
+ "ㄓㄨㄥ4"
+ ],
+ "𠱨": [
+ "ㄐㄧ3"
+ ],
+ "𠱫": [
+ "ㄜ4"
+ ],
+ "𠱯": [
+ "ㄗㄨㄛ4"
+ ],
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+ "ㄋㄚ4"
+ ],
+ "𠱳": [
+ "ㄩㄣ3"
+ ],
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+ "ㄒㄧㄝ4"
+ ],
+ "𠲋": [
+ "ㄗㄨㄟ3"
+ ],
+ "𠲌": [
+ "ㄕㄨ4"
+ ],
+ "𠲍": [
+ "ㄉㄧㄡ1"
+ ],
+ "𠲎": [
+ "ㄈㄚ5",
+ "ㄈㄟ4",
+ "ㄈㄚ2",
+ "ㄨㄚ5"
+ ],
+ "𠲏": [
+ "ㄖㄣ3"
+ ],
+ "𠲑": [
+ "ㄅㄤ1"
+ ],
+ "𠲒": [
+ "ㄏㄢ2"
+ ],
+ "𠲓": [
+ "ㄏㄨㄥ2"
+ ],
+ "𠲔": [
+ "ㄧ1"
+ ],
+ "𠲖": [
+ "ㄧ1"
+ ],
+ "𠲙": [
+ "ㄎㄜ1"
+ ],
+ "𠲚": [
+ "ㄧ4"
+ ],
+ "𠲛": [
+ "ㄏㄨㄟ2"
+ ],
+ "𠲜": [
+ "ㄓㄥ1"
+ ],
+ "𠲮": [
+ "ㄐㄧㄥ4"
+ ],
+ "𠲱": [
+ "ㄍㄜ2"
+ ],
+ "𠲴": [
+ "ㄋㄡ2"
+ ],
+ "𠲵": [
+ "ㄑㄧㄝ4",
+ "ㄐㄧㄝ2"
+ ],
+ "𠲷": [
+ "ㄉㄧㄝ2"
+ ],
+ "𠲹": [
+ "ㄐㄧ4"
+ ],
+ "𠲺": [
+ "ㄧ4"
+ ],
+ "𠲻": [
+ "ㄧ2"
+ ],
+ "𠲽": [
+ "ㄈㄨ2"
+ ],
+ "𠲾": [
+ "ㄕㄨㄛ4"
+ ],
+ "𠲿": [
+ "ㄕㄨㄛ4"
+ ],
+ "𠳀": [
+ "ㄩㄥ3"
+ ],
+ "𠳁": [
+ "ㄎㄣ3"
+ ],
+ "𠳂": [
+ "ㄏㄨㄚ2"
+ ],
+ "𠳃": [
+ "ㄏㄨㄥ4"
+ ],
+ "𠳇": [
+ "ㄏㄜ2"
+ ],
+ "𠳊": [
+ "ㄏㄜ1"
+ ],
+ "𠳋": [
+ "ㄑㄧㄢ3"
+ ],
+ "𠳌": [
+ "ㄑㄧㄚ4"
+ ],
+ "𠳎": [
+ "ㄙ4"
+ ],
+ "𠳐": [
+ "ㄅㄤ1"
+ ],
+ "𠳬": [
+ "ㄐㄧㄥ1"
+ ],
+ "𠳭": [
+ "ㄎㄜ4"
+ ],
+ "𠳳": [
+ "ㄞ1"
+ ],
+ "𠳴": [
+ "ㄌㄡ2"
+ ],
+ "𠳶": [
+ "ㄊㄨ1"
+ ],
+ "𠳹": [
+ "ㄔㄨㄤ2"
+ ],
+ "𠳼": [
+ "ㄙㄨㄥ4"
+ ],
+ "𠳽": [
+ "ㄔㄥ2"
+ ],
+ "𠳿": [
+ "ㄨㄟ1"
+ ],
+ "𠴂": [
+ "ㄋㄨ3"
+ ],
+ "𠴄": [
+ "ㄐㄧㄡ3"
+ ],
+ "𠴇": [
+ "ㄅㄧㄣ1"
+ ],
+ "𠴡": [
+ "ㄒㄧㄠ4"
+ ],
+ "𠴢": [
+ "ㄕㄥ1"
+ ],
+ "𠴣": [
+ "ㄏㄡ3"
+ ],
+ "𠴦": [
+ "ㄓㄨ4"
+ ],
+ "𠴨": [
+ "ㄍㄨㄢ1"
+ ],
+ "𠴩": [
+ "ㄐㄧ1",
+ "ㄑㄧ3"
+ ],
+ "𠴫": [
+ "ㄐㄧ4",
+ "ㄘㄨ4",
+ "ㄩ4",
+ "ㄓㄨ4"
+ ],
+ "𠴭": [
+ "ㄒㄧ1"
+ ],
+ "𠴯": [
+ "ㄕㄜ4"
+ ],
+ "𠴰": [
+ "ㄡ3"
+ ],
+ "𠴱": [
+ "ㄏㄨ2"
+ ],
+ "𠴲": [
+ "ㄊㄚ4"
+ ],
+ "𠴳": [
+ "ㄒㄧㄠ2"
+ ],
+ "𠴵": [
+ "ㄗㄠ4"
+ ],
+ "𠴸": [
+ "ㄅㄛ4"
+ ],
+ "𠴹": [
+ "ㄑㄧ4"
+ ],
+ "𠴺": [
+ "ㄨㄚ1"
+ ],
+ "𠴻": [
+ "ㄊㄨㄛ1"
+ ],
+ "𠴼": [
+ "ㄉㄠ4"
+ ],
+ "𠴾": [
+ "ㄋㄚ4"
+ ],
+ "𠵠": [
+ "ㄓㄞ1"
+ ],
+ "𠵣": [
+ "ㄧㄚ4"
+ ],
+ "𠵦": [
+ "ㄨ3"
+ ],
+ "𠵧": [
+ "ㄓㄣ2",
+ "ㄔㄨㄣ2"
+ ],
+ "𠵨": [
+ "ㄉㄜ5"
+ ],
+ "𠵩": [
+ "ㄏㄜ1"
+ ],
+ "𠵫": [
+ "ㄤ1"
+ ],
+ "𠵬": [
+ "ㄆㄧ2"
+ ],
+ "𠵭": [
+ "ㄙㄜ4"
+ ],
+ "𠵮": [
+ "ㄈㄣ3"
+ ],
+ "𠵯": [
+ "ㄍㄨㄚ1"
+ ],
+ "𠵳": [
+ "ㄆㄛ3"
+ ],
+ "𠵷": [
+ "ㄒㄩㄢ4"
+ ],
+ "𠵸": [
+ "ㄏㄢ1",
+ "ㄇㄧ2"
+ ],
+ "𠵹": [
+ "ㄍㄤ1"
+ ],
+ "𠵺": [
+ "ㄅㄚ1"
+ ],
+ "𠵻": [
+ "ㄗㄨㄥ1"
+ ],
+ "𠵼": [
+ "ㄇㄥ4"
+ ],
+ "𠵾": [
+ "ㄏㄨㄛ4"
+ ],
+ "𠶧": [
+ "ㄉㄧㄢ1"
+ ],
+ "𠶨": [
+ "ㄒㄧ1"
+ ],
+ "𠶫": [
+ "ㄉㄚ4"
+ ],
+ "𠶬": [
+ "ㄋㄤ4"
+ ],
+ "𠶰": [
+ "ㄉㄧㄠ1"
+ ],
+ "𠶱": [
+ "ㄌㄨㄛ4"
+ ],
+ "𠶲": [
+ "ㄎㄜ4"
+ ],
+ "𠶷": [
+ "ㄧ4"
+ ],
+ "𠶸": [
+ "ㄐㄩㄝ2"
+ ],
+ "𠶹": [
+ "ㄏㄜ2"
+ ],
+ "𠶻": [
+ "ㄐㄧ2"
+ ],
+ "𠶾": [
+ "ㄏㄜ4"
+ ],
+ "𠶿": [
+ "ㄋㄧㄝ4",
+ "ㄗㄚ2"
+ ],
+ "𠷀": [
+ "ㄖㄨㄣ3"
+ ],
+ "𠷁": [
+ "ㄑㄧㄢ2",
+ "ㄐㄧㄢ1"
+ ],
+ "𠷂": [
+ "ㄉㄞ4"
+ ],
+ "𠷃": [
+ "ㄕㄠ1",
+ "ㄙㄨ4",
+ "ㄕㄡ4"
+ ],
+ "𠷄": [
+ "ㄎㄜ4"
+ ],
+ "𠷅": [
+ "ㄓㄨ2"
+ ],
+ "𠷇": [
+ "ㄕ1"
+ ],
+ "𠷈": [
+ "ㄌㄩ4",
+ "ㄌㄧㄝ4"
+ ],
+ "𠷉": [
+ "ㄐㄧㄚ1"
+ ],
+ "𠷊": [
+ "ㄆㄧㄢ2"
+ ],
+ "𠷋": [
+ "ㄏㄡ4"
+ ],
+ "𠷌": [
+ "ㄐㄧ1",
+ "ㄗㄜ2"
+ ],
+ "𠷍": [
+ "ㄊㄚ4"
+ ],
+ "𠷎": [
+ "ㄔㄡ2",
+ "ㄕㄡ4"
+ ],
+ "𠷏": [
+ "ㄨㄛ1"
+ ],
+ "𠷐": [
+ "ㄐㄧㄥ4",
+ "ㄐㄧㄤ4"
+ ],
+ "𠷑": [
+ "ㄆㄛ1"
+ ],
+ "𠷒": [
+ "ㄓㄞ1"
+ ],
+ "𠷓": [
+ "ㄒㄧㄣ1"
+ ],
+ "𠷖": [
+ "ㄅㄧㄢ4"
+ ],
+ "𠷙": [
+ "ㄒㄩ4"
+ ],
+ "𠷞": [
+ "ㄍㄨ1"
+ ],
+ "𠷟": [
+ "ㄐㄧㄝ4"
+ ],
+ "𠷢": [
+ "ㄒㄧㄢ2"
+ ],
+ "𠷸": [
+ "ㄜ2",
+ "ㄩㄥ2"
+ ],
+ "𠷺": [
+ "ㄅㄛ2"
+ ],
+ "𠷻": [
+ "ㄆㄧㄠ1"
+ ],
+ "𠷿": [
+ "ㄗㄚ3"
+ ],
+ "𠸁": [
+ "ㄆㄞ4"
+ ],
+ "𠸂": [
+ "ㄊㄨ1"
+ ],
+ "𠸄": [
+ "ㄧㄥ1"
+ ],
+ "𠸮": [
+ "ㄒㄧㄤ3"
+ ],
+ "𠸱": [
+ "ㄋㄨㄛ4"
+ ],
+ "𠸲": [
+ "ㄍㄜ1"
+ ],
+ "𠸳": [
+ "ㄅㄛ2"
+ ],
+ "𠸴": [
+ "ㄒㄧㄝ4"
+ ],
+ "𠸸": [
+ "ㄓㄣ1",
+ "ㄔㄨㄣ2"
+ ],
+ "𠸹": [
+ "ㄩ2"
+ ],
+ "𠸺": [
+ "ㄋㄧ4"
+ ],
+ "𠹀": [
+ "ㄒㄩㄣ4"
+ ],
+ "𠹁": [
+ "ㄨㄚ4"
+ ],
+ "𠹃": [
+ "ㄤ4"
+ ],
+ "𠹄": [
+ "ㄏㄢ4"
+ ],
+ "𠹅": [
+ "ㄏㄨㄥ1"
+ ],
+ "𠹆": [
+ "ㄉㄢ1"
+ ],
+ "𠹈": [
+ "ㄋㄨㄛ2"
+ ],
+ "𠹊": [
+ "ㄘㄠ3"
+ ],
+ "𠹋": [
+ "ㄐㄧ2"
+ ],
+ "𠹌": [
+ "ㄋㄥ3"
+ ],
+ "𠹍": [
+ "ㄩㄥ3",
+ "ㄖㄨㄥ2"
+ ],
+ "𠹎": [
+ "ㄒㄧㄠ1"
+ ],
+ "𠹐": [
+ "ㄔㄨㄚ3"
+ ],
+ "𠹑": [
+ "ㄧㄠ4"
+ ],
+ "𠹓": [
+ "ㄍㄜ2"
+ ],
+ "𠹔": [
+ "ㄊㄤ2"
+ ],
+ "𠹕": [
+ "ㄅㄠ4"
+ ],
+ "𠹖": [
+ "ㄔㄢ3"
+ ],
+ "𠹘": [
+ "ㄒㄩ4"
+ ],
+ "𠹛": [
+ "ㄏㄞ2"
+ ],
+ "𠹝": [
+ "ㄔㄡ2"
+ ],
+ "𠹟": [
+ "ㄐㄧㄢ3"
+ ],
+ "𠹠": [
+ "ㄗㄨㄛ1"
+ ],
+ "𠹤": [
+ "ㄨㄟ4"
+ ],
+ "𠹥": [
+ "ㄉㄚ1"
+ ],
+ "𠹦": [
+ "ㄆㄧ1"
+ ],
+ "𠺐": [
+ "ㄏㄨㄢ4"
+ ],
+ "𠺒": [
+ "ㄒㄧ1"
+ ],
+ "𠺔": [
+ "ㄆㄣ4"
+ ],
+ "𠺕": [
+ "ㄌㄧㄡ1",
+ "ㄌㄧㄠ2"
+ ],
+ "𠺖": [
+ "ㄇㄨ3",
+ "ㄧㄥ1"
+ ],
+ "𠺗": [
+ "ㄇㄧㄝ1"
+ ],
+ "𠺘": [
+ "ㄌㄤ4"
+ ],
+ "𠺙": [
+ "ㄊㄨㄟ4"
+ ],
+ "𠺚": [
+ "ㄅㄢ1"
+ ],
+ "𠺝": [
+ "ㄍㄜ1"
+ ],
+ "𠺟": [
+ "ㄎㄨ4"
+ ],
+ "𠺢": [
+ "ㄐㄧㄚ1"
+ ],
+ "𠺣": [
+ "ㄅㄛ1"
+ ],
+ "𠻍": [
+ "ㄏㄨㄢ4"
+ ],
+ "𠻏": [
+ "ㄗㄨ2"
+ ],
+ "𠻐": [
+ "ㄌㄨㄛ4"
+ ],
+ "𠻗": [
+ "ㄌㄧ2"
+ ],
+ "𠻙": [
+ "ㄏㄜ2"
+ ],
+ "𠻚": [
+ "ㄇㄛ2"
+ ],
+ "𠻜": [
+ "ㄕㄨㄟ4",
+ "ㄌㄩ4",
+ "ㄙㄨ1"
+ ],
+ "𠻝": [
+ "ㄕㄣ1"
+ ],
+ "𠻞": [
+ "ㄎㄤ3"
+ ],
+ "𠻟": [
+ "ㄔ4"
+ ],
+ "𠻠": [
+ "ㄌㄧㄥ2"
+ ],
+ "𠻡": [
+ "ㄌㄨㄛ3"
+ ],
+ "𠻤": [
+ "ㄧㄢ3"
+ ],
+ "𠻥": [
+ "ㄓㄠ4"
+ ],
+ "𠻦": [
+ "ㄔㄨㄚ3"
+ ],
+ "𠻧": [
+ "ㄍㄨ3"
+ ],
+ "𠻨": [
+ "ㄑㄧㄣ3"
+ ],
+ "𠻪": [
+ "ㄊㄢ2"
+ ],
+ "𠻫": [
+ "ㄈㄣ4"
+ ],
+ "𠻬": [
+ "ㄊㄨ2"
+ ],
+ "𠻱": [
+ "ㄌㄧㄥ2"
+ ],
+ "𠻴": [
+ "ㄌㄤ3"
+ ],
+ "𠼖": [
+ "ㄌㄢ2"
+ ],
+ "𠼗": [
+ "ㄗㄢ4"
+ ],
+ "𠼘": [
+ "ㄨ4"
+ ],
+ "𠼝": [
+ "ㄌㄧ2"
+ ],
+ "𠼞": [
+ "ㄚ1"
+ ],
+ "𠼟": [
+ "ㄌㄩㄝ4"
+ ],
+ "𠼠": [
+ "ㄓ3"
+ ],
+ "𠼡": [
+ "ㄔㄡ2"
+ ],
+ "𠼢": [
+ "ㄐㄧㄤ4",
+ "ㄑㄧㄤ4"
+ ],
+ "𠼤": [
+ "ㄐㄧㄢ1"
+ ],
+ "𠼩": [
+ "ㄌㄨㄣ2"
+ ],
+ "𠼪": [
+ "ㄧ2"
+ ],
+ "𠼬": [
+ "ㄕㄤ1"
+ ],
+ "𠼻": [
+ "ㄐㄧ1"
+ ],
+ "𠽜": [
+ "ㄧ4"
+ ],
+ "𠽝": [
+ "ㄋㄧㄣ2"
+ ],
+ "𠽡": [
+ "ㄏㄨㄟ4"
+ ],
+ "𠽣": [
+ "ㄓㄚ1"
+ ],
+ "𠽦": [
+ "ㄏㄢ3"
+ ],
+ "𠽨": [
+ "ㄧㄣ3"
+ ],
+ "𠽩": [
+ "ㄅㄧ4"
+ ],
+ "𠽪": [
+ "ㄢ1"
+ ],
+ "𠽫": [
+ "ㄒㄧㄚ1",
+ "ㄒㄧㄚ3"
+ ],
+ "𠽬": [
+ "ㄋㄧ2"
+ ],
+ "𠽰": [
+ "ㄉㄧ1"
+ ],
+ "𠽱": [
+ "ㄐㄧㄢ3"
+ ],
+ "𠽲": [
+ "ㄆㄢ2"
+ ],
+ "𠽵": [
+ "ㄩ4"
+ ],
+ "𠽶": [
+ "ㄔㄨㄞ4",
+ "ㄘㄨㄟ4",
+ "ㄔㄨㄛ4"
+ ],
+ "𠽷": [
+ "ㄗㄚ1"
+ ],
+ "𠽹": [
+ "ㄔㄚ2"
+ ],
+ "𠽻": [
+ "ㄓㄜ2"
+ ],
+ "𠽼": [
+ "ㄙㄜ4"
+ ],
+ "𠽾": [
+ "ㄆㄣ1",
+ "ㄆㄨ3"
+ ],
+ "𠽿": [
+ "ㄍㄨ1"
+ ],
+ "𠾀": [
+ "ㄓㄜ2"
+ ],
+ "𠾆": [
+ "ㄌㄧ2"
+ ],
+ "𠾇": [
+ "ㄉㄡ1"
+ ],
+ "𠾉": [
+ "ㄔㄡ2"
+ ],
+ "𠾋": [
+ "ㄗㄨㄟ3"
+ ],
+ "𠾌": [
+ "ㄆㄛ4"
+ ],
+ "𠾏": [
+ "ㄕㄜ1"
+ ],
+ "𠾐": [
+ "ㄌㄨㄥ2"
+ ],
+ "𠾢": [
+ "ㄕㄨ4"
+ ],
+ "𠾤": [
+ "ㄐㄧㄣ4"
+ ],
+ "𠾥": [
+ "ㄌㄧㄥ2"
+ ],
+ "𠾨": [
+ "ㄎㄤ1"
+ ],
+ "𠾩": [
+ "ㄌㄚ4"
+ ],
+ "𠾫": [
+ "ㄒㄩ1"
+ ],
+ "𠾬": [
+ "ㄐㄧㄣ4"
+ ],
+ "𠾮": [
+ "ㄔㄨㄢ1"
+ ],
+ "𠾲": [
+ "ㄩㄝ4"
+ ],
+ "𠿆": [
+ "ㄇㄞ3"
+ ],
+ "𠿇": [
+ "ㄒㄧㄝ4"
+ ],
+ "𠿈": [
+ "ㄐㄧㄡ1"
+ ],
+ "𠿉": [
+ "ㄐㄧ4"
+ ],
+ "𠿋": [
+ "ㄩㄝ4"
+ ],
+ "𠿏": [
+ "ㄐㄧㄢ1"
+ ],
+ "𠿑": [
+ "ㄏㄢ2",
+ "ㄍㄢ3",
+ "ㄢ3",
+ "ㄏㄢ3"
+ ],
+ "𠿓": [
+ "ㄙㄚ4"
+ ],
+ "𠿔": [
+ "ㄏㄨㄟ4"
+ ],
+ "𠿕": [
+ "ㄑㄧㄠ4"
+ ],
+ "𠿗": [
+ "ㄙㄜ4"
+ ],
+ "𠿘": [
+ "ㄗㄨㄟ3"
+ ],
+ "𠿛": [
+ "ㄌㄨ3"
+ ],
+ "𠿜": [
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+ ],
+ "𠿣": [
+ "ㄧ1"
+ ],
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+ ],
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+ "ㄍㄨㄟ4"
+ ],
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+ "ㄓㄡ1"
+ ],
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+ "ㄌㄨ4",
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+ "ㄅㄛ1"
+ ],
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+ "ㄕ2"
+ ],
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+ ],
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+ "ㄏㄜ4"
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+ "ㄌㄩ4"
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+ "ㄏㄢ4"
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+ "ㄧㄝ4",
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+ "ㄈㄢ4"
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+ "ㄨㄚ1"
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+ ],
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+ "ㄐㄧㄥ1"
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+ "ㄗㄚ2"
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+ "ㄗㄤ1"
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+ "ㄐㄧ4"
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+ "ㄨㄛ1"
+ ],
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+ ],
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+ "ㄒㄧ1"
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+ ],
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+ ],
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+ "ㄕ1"
+ ],
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+ ],
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+ "ㄊㄚ4"
+ ],
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+ "ㄨㄟ3"
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+ "ㄉㄡ4"
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+ "ㄅㄠ4"
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+ "ㄕㄨ4"
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+ "ㄓ2"
+ ],
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+ "ㄌㄧㄝ4"
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+ "ㄆㄥ2"
+ ],
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+ "ㄓㄜ1"
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+ ],
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+ "ㄐㄧ2"
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+ "ㄘㄥ1"
+ ],
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+ "ㄌㄜ1"
+ ],
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+ ],
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+ "ㄒㄧ4"
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+ "ㄌㄧㄣ4"
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+ "ㄍㄨㄟ1"
+ ],
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+ "ㄒㄧㄥ1"
+ ],
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+ "ㄌㄧ2"
+ ],
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+ "ㄘ1"
+ ],
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+ "ㄑㄧㄥ3"
+ ],
+ "𡄑": [
+ "ㄐㄧㄢ1"
+ ],
+ "𡄒": [
+ "ㄉㄠ4"
+ ],
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+ "ㄐㄧㄢ3"
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+ "𡄔": [
+ "ㄑㄧㄥ4"
+ ],
+ "𡄕": [
+ "ㄒㄧㄝ4"
+ ],
+ "𡄖": [
+ "ㄧㄥ4"
+ ],
+ "𡄟": [
+ "ㄏㄚ2"
+ ],
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+ "ㄓㄜ5"
+ ],
+ "𡄢": [
+ "ㄕㄜ1"
+ ],
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+ "ㄇㄧ2"
+ ],
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+ "𡄱": [
+ "ㄘㄨ4"
+ ],
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+ "ㄖㄨ2"
+ ],
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+ "ㄙㄚ3"
+ ],
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+ "ㄏㄨㄛ4"
+ ],
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+ "ㄧ1"
+ ],
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+ "ㄉㄧ1"
+ ],
+ "𡄹": [
+ "ㄌㄨㄢ4"
+ ],
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+ "ㄧ4"
+ ],
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+ "ㄅㄛ4"
+ ],
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+ "ㄆㄤ2"
+ ],
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+ "ㄊㄢ2"
+ ],
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+ "ㄜ2",
+ "ㄟ2"
+ ],
+ "𡅆": [
+ "ㄗㄤ1"
+ ],
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+ "ㄘㄨㄥ2"
+ ],
+ "𡅓": [
+ "ㄓㄞ1"
+ ],
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+ "ㄒㄧ3"
+ ],
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+ "ㄇㄤ3"
+ ],
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+ "ㄌㄚ4"
+ ],
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+ "ㄩㄣ4"
+ ],
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+ "ㄜ4"
+ ],
+ "𡅥": [
+ "ㄉㄧㄝ2"
+ ],
+ "𡅭": [
+ "ㄍㄨㄢ1"
+ ],
+ "𡅱": [
+ "ㄏㄨㄢ4"
+ ],
+ "𡅵": [
+ "ㄕ4"
+ ],
+ "𡅶": [
+ "ㄐㄧㄢ3"
+ ],
+ "𡅹": [
+ "ㄓㄢ1"
+ ],
+ "𡅺": [
+ "ㄐㄧ2"
+ ],
+ "𡅻": [
+ "ㄏㄨㄢ4"
+ ],
+ "𡆅": [
+ "ㄨㄢ4"
+ ],
+ "𡆆": [
+ "ㄌㄨㄛ3"
+ ],
+ "𡆏": [
+ "ㄉㄡ4"
+ ],
+ "𡆕": [
+ "ㄌㄧㄢ4"
+ ],
+ "𡆣": [
+ "ㄋㄧㄝ4",
+ "ㄉㄧ2"
+ ],
+ "𡆤": [
+ "ㄋㄢ3"
+ ],
+ "𡆥": [
+ "ㄐㄧㄡ4"
+ ],
+ "𡆦": [
+ "ㄩㄝ4"
+ ],
+ "𡆩": [
+ "ㄧㄠ1",
+ "ㄐㄩㄥ3"
+ ],
+ "𡆪": [
+ "ㄔㄨㄤ1"
+ ],
+ "𡆮": [
+ "ㄘㄢ3"
+ ],
+ "𡆯": [
+ "ㄌㄧ3"
+ ],
+ "𡆰": [
+ "ㄉㄨㄣ4"
+ ],
+ "𡆱": [
+ "ㄋㄢ3"
+ ],
+ "𡆲": [
+ "ㄋㄢ3"
+ ],
+ "𡆸": [
+ "ㄖ4",
+ "ㄍㄨㄛ2"
+ ],
+ "𡆽": [
+ "ㄩㄝ4"
+ ],
+ "𡇀": [
+ "ㄧㄡ2"
+ ],
+ "𡇂": [
+ "ㄧㄣ1"
+ ],
+ "𡇄": [
+ "ㄍㄨㄛ2",
+ "ㄋㄧㄝ4"
+ ],
+ "𡇈": [
+ "ㄉㄤ4",
+ "ㄊㄨㄛ2"
+ ],
+ "𡇑": [
+ "ㄓㄣ1"
+ ],
+ "𡇒": [
+ "ㄇㄧ2"
+ ],
+ "𡇓": [
+ "ㄉㄧㄝ2"
+ ],
+ "𡇖": [
+ "ㄓㄣ1"
+ ],
+ "𡇚": [
+ "ㄎㄨㄚ1"
+ ],
+ "𡇜": [
+ "ㄏㄢ2"
+ ],
+ "𡇝": [
+ "ㄙㄨㄥ4"
+ ],
+ "𡇞": [
+ "ㄏㄜ2"
+ ],
+ "𡇟": [
+ "ㄐㄧ1"
+ ],
+ "𡇠": [
+ "ㄓㄜ2"
+ ],
+ "𡇤": [
+ "ㄅㄧㄥ3"
+ ],
+ "𡇦": [
+ "ㄨㄟ2"
+ ],
+ "𡇧": [
+ "ㄊㄡ1"
+ ],
+ "𡇩": [
+ "ㄊㄨ2"
+ ],
+ "𡇬": [
+ "ㄍㄤ1"
+ ],
+ "𡇭": [
+ "ㄌㄡ2"
+ ],
+ "𡇮": [
+ "ㄑㄩㄢ2"
+ ],
+ "𡇯": [
+ "ㄏㄨㄣ4"
+ ],
+ "𡇰": [
+ "ㄓㄨㄢ3"
+ ],
+ "𡇱": [
+ "ㄑㄩㄝ4"
+ ],
+ "𡇳": [
+ "ㄏㄨㄥ2"
+ ],
+ "𡇵": [
+ "ㄉㄤ4"
+ ],
+ "𡇶": [
+ "ㄏㄜ2"
+ ],
+ "𡇷": [
+ "ㄊㄞ4"
+ ],
+ "𡇸": [
+ "ㄍㄨㄞ1"
+ ],
+ "𡇺": [
+ "ㄩ4"
+ ],
+ "𡇼": [
+ "ㄧㄚ4"
+ ],
+ "𡇿": [
+ "ㄨㄢ1"
+ ],
+ "𡈀": [
+ "ㄑㄩㄣ1"
+ ],
+ "𡈅": [
+ "ㄐㄩㄝ2"
+ ],
+ "𡈆": [
+ "ㄡ1"
+ ],
+ "𡈉": [
+ "ㄑㄩㄢ1"
+ ],
+ "𡈊": [
+ "ㄓ2"
+ ],
+ "𡈍": [
+ "ㄌㄧㄥ2"
+ ],
+ "𡈎": [
+ "ㄨ1",
+ "ㄖ4"
+ ],
+ "𡈏": [
+ "ㄒㄧㄣ4"
+ ],
+ "𡈐": [
+ "ㄉㄚ2"
+ ],
+ "𡈒": [
+ "ㄩㄢ1"
+ ],
+ "𡈓": [
+ "ㄩㄢ4"
+ ],
+ "𡈗": [
+ "ㄇㄛ4"
+ ],
+ "𡈙": [
+ "ㄧㄡ2"
+ ],
+ "𡈞": [
+ "ㄨ3"
+ ],
+ "𡈠": [
+ "ㄓㄤ1"
+ ],
+ "𡈣": [
+ "ㄒㄩㄢ1"
+ ],
+ "𡈦": [
+ "ㄖㄠ3"
+ ],
+ "𡈧": [
+ "ㄍㄨㄣ3"
+ ],
+ "𡈨": [
+ "ㄩ4"
+ ],
+ "𡈮": [
+ "ㄒㄧㄚ2"
+ ],
+ "𡈯": [
+ "ㄅㄧㄢ3"
+ ],
+ "𡈰": [
+ "ㄧㄡ2"
+ ],
+ "𡈲": [
+ "ㄧㄣ1"
+ ],
+ "𡈴": [
+ "ㄒㄩㄢ2",
+ "ㄖㄨ3"
+ ],
+ "𡈵": [
+ "ㄧㄡ2"
+ ],
+ "𡈶": [
+ "ㄌㄟ2"
+ ],
+ "𡈼": [
+ "ㄊㄧㄥ3",
+ "ㄊㄧㄥ2",
+ "ㄓㄥ1",
+ "ㄓ3"
+ ],
+ "𡈿": [
+ "ㄓㄣ1"
+ ],
+ "𡉄": [
+ "ㄗㄞ4",
+ "ㄎㄨ1"
+ ],
+ "𡉅": [
+ "ㄍㄚ1"
+ ],
+ "𡉆": [
+ "ㄌㄚ2"
+ ],
+ "𡉉": [
+ "ㄑㄩㄝ4"
+ ],
+ "𡉎": [
+ "ㄐㄩ2"
+ ],
+ "𡉐": [
+ "ㄔㄨㄣ1"
+ ],
+ "𡉑": [
+ "ㄉㄚ1"
+ ],
+ "𡉒": [
+ "ㄊㄨㄣ2"
+ ],
+ "𡉓": [
+ "ㄞ1"
+ ],
+ "𡉗": [
+ "ㄗ3"
+ ],
+ "𡉚": [
+ "ㄏㄨㄤ2",
+ "ㄈㄥ1"
+ ],
+ "𡉛": [
+ "ㄧ4"
+ ],
+ "𡉩": [
+ "ㄅㄠ4"
+ ],
+ "𡉪": [
+ "ㄔ2"
+ ],
+ "𡉭": [
+ "ㄖ4"
+ ],
+ "𡉴": [
+ "ㄌㄨ2",
+ "ㄏㄨ4"
+ ],
+ "𡉷": [
+ "ㄐㄧㄝ2"
+ ],
+ "𡉸": [
+ "ㄕ4"
+ ],
+ "𡉺": [
+ "ㄗㄨㄢ1"
+ ],
+ "𡊁": [
+ "ㄧ4"
+ ],
+ "𡊄": [
+ "ㄈㄣ4"
+ ],
+ "𡊅": [
+ "ㄈㄣ4",
+ "ㄅㄧㄢ4"
+ ],
+ "𡊉": [
+ "ㄇㄛ4"
+ ],
+ "𡊍": [
+ "ㄕㄨ4"
+ ],
+ "𡊛": [
+ "ㄠ2"
+ ],
+ "𡊝": [
+ "ㄆㄧ3"
+ ],
+ "𡊞": [
+ "ㄆㄧㄥ2",
+ "ㄆㄧㄥ4"
+ ],
+ "𡊟": [
+ "ㄆㄛ1"
+ ],
+ "𡊠": [
+ "ㄐㄧㄚ2"
+ ],
+ "𡊡": [
+ "ㄓㄡ2"
+ ],
+ "𡊣": [
+ "ㄑㄧㄡ1"
+ ],
+ "𡊧": [
+ "ㄧㄡ3"
+ ],
+ "𡊨": [
+ "ㄊㄢ2"
+ ],
+ "𡊫": [
+ "ㄖㄨㄥ3"
+ ],
+ "𡊭": [
+ "ㄇㄧ4"
+ ],
+ "𡊶": [
+ "ㄧ4"
+ ],
+ "𡊸": [
+ "ㄖㄨㄥ3"
+ ],
+ "𡊻": [
+ "ㄌㄧㄝ4"
+ ],
+ "𡊼": [
+ "ㄑㄩㄥ2"
+ ],
+ "𡋙": [
+ "ㄏㄨㄟ2"
+ ],
+ "𡋚": [
+ "ㄐㄧ4"
+ ],
+ "𡋟": [
+ "ㄍㄠ4"
+ ],
+ "𡋧": [
+ "ㄧㄡ2"
+ ],
+ "𡋨": [
+ "ㄔㄚ1"
+ ],
+ "𡋩": [
+ "ㄉㄜ2"
+ ],
+ "𡋪": [
+ "ㄧㄣ1"
+ ],
+ "𡋬": [
+ "ㄩ4"
+ ],
+ "𡋭": [
+ "ㄅㄟ4"
+ ],
+ "𡋯": [
+ "ㄅㄛ2"
+ ],
+ "𡌔": [
+ "ㄑㄧㄠ1"
+ ],
+ "𡌚": [
+ "ㄔㄚ3"
+ ],
+ "𡌜": [
+ "ㄒㄧㄣ1"
+ ],
+ "𡌞": [
+ "ㄔ2"
+ ],
+ "𡌣": [
+ "ㄗㄠ4"
+ ],
+ "𡌤": [
+ "ㄎㄨㄟ2"
+ ],
+ "𡌦": [
+ "ㄈㄟ4"
+ ],
+ "𡌩": [
+ "ㄊㄚ1",
+ "ㄉㄚ2"
+ ],
+ "𡌪": [
+ "ㄍㄨㄞ4"
+ ],
+ "𡌭": [
+ "ㄉㄨㄛ1"
+ ],
+ "𡌲": [
+ "ㄍㄨㄟ1"
+ ],
+ "𡌴": [
+ "ㄓ2"
+ ],
+ "𡍌": [
+ "ㄔㄢ3"
+ ],
+ "𡍍": [
+ "ㄋㄠ3"
+ ],
+ "𡍐": [
+ "ㄏㄨ2"
+ ],
+ "𡍒": [
+ "ㄊㄠ2"
+ ],
+ "𡍡": [
+ "ㄧ4"
+ ],
+ "𡍤": [
+ "ㄋㄧㄝ4"
+ ],
+ "𡍥": [
+ "ㄓㄞ4"
+ ],
+ "𡍦": [
+ "ㄏㄨㄢ2"
+ ],
+ "𡍨": [
+ "ㄉㄨ4"
+ ],
+ "𡍪": [
+ "ㄑㄧ4"
+ ],
+ "𡍫": [
+ "ㄘㄜ4"
+ ],
+ "𡍮": [
+ "ㄔㄨㄟ2"
+ ],
+ "𡍲": [
+ "ㄉㄚ1"
+ ],
+ "𡍶": [
+ "ㄓ4"
+ ],
+ "𡍷": [
+ "ㄍㄥ4"
+ ],
+ "𡍻": [
+ "ㄨㄥ4"
+ ],
+ "𡎉": [
+ "ㄉㄨ4"
+ ],
+ "𡎍": [
+ "ㄔ2"
+ ],
+ "𡎑": [
+ "ㄢ4"
+ ],
+ "𡎒": [
+ "ㄎㄨㄛ4"
+ ],
+ "𡎔": [
+ "ㄨㄛ4"
+ ],
+ "𡎘": [
+ "ㄧㄥ1"
+ ],
+ "𡎚": [
+ "ㄆㄧㄢ3"
+ ],
+ "𡎫": [
+ "ㄓㄚ2",
+ "ㄑㄧ4"
+ ],
+ "𡎬": [
+ "ㄓㄨㄚ3"
+ ],
+ "𡎮": [
+ "ㄙㄨ4"
+ ],
+ "𡎳": [
+ "ㄋㄧ4"
+ ],
+ "𡎺": [
+ "ㄓㄨ2"
+ ],
+ "𡎻": [
+ "ㄔㄢ2"
+ ],
+ "𡎾": [
+ "ㄅㄥ4"
+ ],
+ "𡎿": [
+ "ㄋㄧ2"
+ ],
+ "𡏀": [
+ "ㄓ2"
+ ],
+ "𡏁": [
+ "ㄏㄨㄟ4"
+ ],
+ "𡏘": [
+ "ㄒㄧㄚ4"
+ ],
+ "𡏚": [
+ "ㄓ4"
+ ],
+ "𡏛": [
+ "ㄒㄧ1"
+ ],
+ "𡏞": [
+ "ㄐㄧㄤ3"
+ ],
+ "𡏩": [
+ "ㄉㄨㄟ1"
+ ],
+ "𡏪": [
+ "ㄈㄨ1"
+ ],
+ "𡏭": [
+ "ㄐㄧㄠ1"
+ ],
+ "𡏮": [
+ "ㄔㄠ2"
+ ],
+ "𡏯": [
+ "ㄅㄞ4"
+ ],
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+ "ㄌㄧㄝ4"
+ ],
+ "𡏼": [
+ "ㄠ2"
+ ],
+ "𡐋": [
+ "ㄗㄠ1"
+ ],
+ "𡐌": [
+ "ㄔㄨ4"
+ ],
+ "𡐏": [
+ "ㄊㄨㄛ3"
+ ],
+ "𡐒": [
+ "ㄏㄠ2",
+ "ㄏㄠ4"
+ ],
+ "𡐓": [
+ "ㄎㄤ1"
+ ],
+ "𡐔": [
+ "ㄧㄣ2"
+ ],
+ "𡐖": [
+ "ㄒㄧㄢ4"
+ ],
+ "𡐝": [
+ "ㄈㄨ2",
+ "ㄈㄨ4"
+ ],
+ "𡐞": [
+ "ㄅㄧㄝ1"
+ ],
+ "𡐠": [
+ "ㄎㄨㄟ1"
+ ],
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+ "ㄑㄧㄝ4"
+ ],
+ "𡐥": [
+ "ㄙㄚ4"
+ ],
+ "𡐿": [
+ "ㄉㄚ1",
+ "ㄉㄚ5"
+ ],
+ "𡑀": [
+ "ㄧㄝ3",
+ "ㄕㄨ4"
+ ],
+ "𡑄": [
+ "ㄓㄤ3"
+ ],
+ "𡑆": [
+ "ㄌㄧㄤ2"
+ ],
+ "𡑈": [
+ "ㄉㄨㄟ3"
+ ],
+ "𡑍": [
+ "ㄌㄠ2"
+ ],
+ "𡑎": [
+ "ㄒㄩㄣ1"
+ ],
+ "𡑘": [
+ "ㄓ4"
+ ],
+ "𡑚": [
+ "ㄎㄨ1"
+ ],
+ "𡑞": [
+ "ㄙㄨㄟ4"
+ ],
+ "𡑟": [
+ "ㄨㄛ1"
+ ],
+ "𡑣": [
+ "ㄎㄨ1"
+ ],
+ "𡑯": [
+ "ㄐㄧㄢ3"
+ ],
+ "𡑶": [
+ "ㄐㄧㄤ3"
+ ],
+ "𡑻": [
+ "ㄓㄨㄟ4"
+ ],
+ "𡑽": [
+ "ㄕㄨㄤ3"
+ ],
+ "𡑾": [
+ "ㄩ2"
+ ],
+ "𡒁": [
+ "ㄙㄚ4"
+ ],
+ "𡒃": [
+ "ㄩ4",
+ "ㄠ4"
+ ],
+ "𡒄": [
+ "ㄌㄢ3"
+ ],
+ "𡒊": [
+ "ㄩ4"
+ ],
+ "𡒌": [
+ "ㄑㄧㄢ3"
+ ],
+ "𡒍": [
+ "ㄐㄩ4"
+ ],
+ "𡒏": [
+ "ㄌㄧㄝ4"
+ ],
+ "𡒒": [
+ "ㄕㄨ2"
+ ],
+ "𡒓": [
+ "ㄒㄧㄢ4"
+ ],
+ "𡒖": [
+ "ㄍㄞ4"
+ ],
+ "𡒢": [
+ "ㄊㄞ2"
+ ],
+ "𡒧": [
+ "ㄊㄧㄢ3"
+ ],
+ "𡒯": [
+ "ㄇㄥ4"
+ ],
+ "𡒱": [
+ "ㄉㄧ2"
+ ],
+ "𡒳": [
+ "ㄇㄧㄢ2"
+ ],
+ "𡒾": [
+ "ㄏㄨㄟ1",
+ "ㄎㄨㄟ4"
+ ],
+ "𡓉": [
+ "ㄉㄨㄛ4"
+ ],
+ "𡓍": [
+ "ㄌㄧㄝ4"
+ ],
+ "𡓒": [
+ "ㄌㄞ4"
+ ],
+ "𡓓": [
+ "ㄧㄣ2",
+ "ㄧㄣ1"
+ ],
+ "𡓔": [
+ "ㄌㄢ3"
+ ],
+ "𡓖": [
+ "ㄐㄧㄠ1"
+ ],
+ "𡓘": [
+ "ㄏㄨㄛ4"
+ ],
+ "𡓣": [
+ "ㄍㄨㄛ1"
+ ],
+ "𡓦": [
+ "ㄓㄢ4"
+ ],
+ "𡓭": [
+ "ㄇㄧ3"
+ ],
+ "𡓰": [
+ "ㄎㄨㄟ1"
+ ],
+ "𡓷": [
+ "ㄉㄨㄛ4"
+ ],
+ "𡓿": [
+ "ㄧㄣ2"
+ ],
+ "𡔇": [
+ "ㄌㄟ4"
+ ],
+ "𡔕": [
+ "ㄍㄨㄥ4"
+ ],
+ "𡔛": [
+ "ㄊㄧㄥ3"
+ ],
+ "𡔜": [
+ "ㄧㄠ2"
+ ],
+ "𡔞": [
+ "ㄨㄤ3"
+ ],
+ "𡔣": [
+ "ㄐㄧㄝ2",
+ "ㄑㄧㄝ4"
+ ],
+ "𡔨": [
+ "ㄒㄧㄡ1"
+ ],
+ "𡔪": [
+ "ㄕㄨ4"
+ ],
+ "𡔱": [
+ "ㄨㄟ4"
+ ],
+ "𡔴": [
+ "ㄩ4"
+ ],
+ "𡕁": [
+ "ㄓㄢ1"
+ ],
+ "𡕉": [
+ "ㄤ1"
+ ],
+ "𡕏": [
+ "ㄙㄤ3"
+ ],
+ "𡕐": [
+ "ㄔㄡ2"
+ ],
+ "𡕒": [
+ "ㄎㄨㄚ4"
+ ],
+ "𡕖": [
+ "ㄐㄩ3",
+ "ㄈㄥ2"
+ ],
+ "𡕗": [
+ "ㄏㄞ4"
+ ],
+ "𡕢": [
+ "ㄇㄧㄢ3",
+ "ㄇㄢ3"
+ ],
+ "𡕧": [
+ "ㄏㄤ4"
+ ],
+ "𡕪": [
+ "ㄔㄡ2"
+ ],
+ "𡕮": [
+ "ㄌㄧㄥ2"
+ ],
+ "𡕰": [
+ "ㄗㄨㄥ1"
+ ],
+ "𡖉": [
+ "ㄎㄨㄣ1"
+ ],
+ "𡖌": [
+ "ㄓㄨㄥ1"
+ ],
+ "𡖎": [
+ "ㄓㄠ1"
+ ],
+ "𡖐": [
+ "ㄉㄧㄝ3"
+ ],
+ "𡖑": [
+ "ㄍㄡ3"
+ ],
+ "𡖒": [
+ "ㄩㄣ2"
+ ],
+ "𡖓": [
+ "ㄉㄢ1"
+ ],
+ "𡖔": [
+ "ㄋㄨㄛ2",
+ "ㄋㄨㄛ3"
+ ],
+ "𡖛": [
+ "ㄅㄧㄥ3"
+ ],
+ "𡖝": [
+ "ㄖㄢ2"
+ ],
+ "𡖞": [
+ "ㄔㄢ1"
+ ],
+ "𡖢": [
+ "ㄖㄨㄥ3"
+ ],
+ "𡖣": [
+ "ㄧㄣ1"
+ ],
+ "𡖤": [
+ "ㄔㄢ1"
+ ],
+ "𡖧": [
+ "ㄓ4"
+ ],
+ "𡖪": [
+ "ㄍㄨㄞ4"
+ ],
+ "𡖫": [
+ "ㄋㄨㄛ2"
+ ],
+ "𡖬": [
+ "ㄕㄣ1"
+ ],
+ "𡖯": [
+ "ㄙㄨ4"
+ ],
+ "𡖲": [
+ "ㄨㄛ3"
+ ],
+ "𡖳": [
+ "ㄔ3"
+ ],
+ "𡖺": [
+ "ㄇㄧㄝ4"
+ ],
+ "𡖻": [
+ "ㄓ2"
+ ],
+ "𡖾": [
+ "ㄑㄧ1"
+ ],
+ "𡗁": [
+ "ㄍㄡ1"
+ ],
+ "𡗆": [
+ "ㄌㄡ3"
+ ],
+ "𡗈": [
+ "ㄗ1"
+ ],
+ "𡗍": [
+ "ㄉㄤ3"
+ ],
+ "𡗏": [
+ "ㄒㄧㄢ3"
+ ],
+ "𡗑": [
+ "ㄖㄡ3"
+ ],
+ "𡗗": [
+ "ㄆㄥ3"
+ ],
+ "𡗞": [
+ "ㄒㄧ1"
+ ],
+ "𡗢": [
+ "ㄎㄨㄚ1",
+ "ㄅㄣ3"
+ ],
+ "𡗤": [
+ "ㄍㄨㄟ4"
+ ],
+ "𡗥": [
+ "ㄔㄨㄣ2"
+ ],
+ "𡗦": [
+ "ㄐㄧㄝ4"
+ ],
+ "𡗲": [
+ "ㄐㄧㄝ4",
+ "ㄅㄣ1"
+ ],
+ "𡗳": [
+ "ㄒㄧ1"
+ ],
+ "𡗵": [
+ "ㄎㄨ1"
+ ],
+ "𡗷": [
+ "ㄍㄨ1"
+ ],
+ "𡗸": [
+ "ㄓㄚ4",
+ "ㄎㄨㄚ1"
+ ],
+ "𡗹": [
+ "ㄈㄢ4"
+ ],
+ "𡗼": [
+ "ㄒㄧㄝ4"
+ ],
+ "𡘍": [
+ "ㄏㄨㄢ2",
+ "ㄑㄧㄝ2"
+ ],
+ "𡘏": [
+ "ㄋㄧㄠ3"
+ ],
+ "𡘐": [
+ "ㄒㄧ4"
+ ],
+ "𡘛": [
+ "ㄘㄨ1"
+ ],
+ "𡘝": [
+ "ㄍㄨㄣ3"
+ ],
+ "𡘡": [
+ "ㄒㄧ1"
+ ],
+ "𡘧": [
+ "ㄑㄧㄚ2"
+ ],
+ "𡘪": [
+ "ㄇㄤ1"
+ ],
+ "𡘭": [
+ "ㄓㄜ2"
+ ],
+ "𡘰": [
+ "ㄐㄩㄢ4"
+ ],
+ "𡘴": [
+ "ㄅㄧㄝ1"
+ ],
+ "𡙀": [
+ "ㄅㄧㄝ1"
+ ],
+ "𡙅": [
+ "ㄑㄩㄢ2"
+ ],
+ "𡙋": [
+ "ㄒㄧ4"
+ ],
+ "𡙎": [
+ "ㄐㄧㄠ3",
+ "ㄇㄧㄠ3"
+ ],
+ "𡙐": [
+ "ㄑㄩㄢ2"
+ ],
+ "𡙑": [
+ "ㄓ3"
+ ],
+ "𡙒": [
+ "ㄊㄧㄢ1"
+ ],
+ "𡙓": [
+ "ㄎㄞ1"
+ ],
+ "𡙘": [
+ "ㄙㄢ3",
+ "ㄧ4"
+ ],
+ "𡙛": [
+ "ㄗ1"
+ ],
+ "𡙣": [
+ "ㄐㄧㄝ2"
+ ],
+ "𡙪": [
+ "ㄅㄧㄝ2"
+ ],
+ "𡙬": [
+ "ㄉㄡ4"
+ ],
+ "𡙭": [
+ "ㄗㄨㄟ1"
+ ],
+ "𡙶": [
+ "ㄧㄢ3"
+ ],
+ "𡚁": [
+ "ㄅㄧ4"
+ ],
+ "𡚅": [
+ "ㄎㄨㄞ3"
+ ],
+ "𡚇": [
+ "ㄧㄢ4"
+ ],
+ "𡚈": [
+ "ㄨㄟ2"
+ ],
+ "𡚊": [
+ "ㄏㄨㄢ1"
+ ],
+ "𡚌": [
+ "ㄏㄠ4"
+ ],
+ "𡚑": [
+ "ㄍㄨㄥ1"
+ ],
+ "𡚔": [
+ "ㄇㄥ2"
+ ],
+ "𡚗": [
+ "ㄌㄟ3"
+ ],
+ "𡚙": [
+ "ㄉㄧ4"
+ ],
+ "𡚛": [
+ "ㄅㄧㄥ3"
+ ],
+ "𡚜": [
+ "ㄏㄨㄢ1",
+ "ㄎㄢ4"
+ ],
+ "𡚟": [
+ "ㄨㄚ1"
+ ],
+ "𡚠": [
+ "ㄐㄩㄝ2"
+ ],
+ "𡚨": [
+ "ㄔ4"
+ ],
+ "𡚭": [
+ "ㄅㄚ1"
+ ],
+ "𡚮": [
+ "ㄐㄧㄡ3"
+ ],
+ "𡚷": [
+ "ㄉㄧ4"
+ ],
+ "𡚹": [
+ "ㄓㄤ4"
+ ],
+ "𡚻": [
+ "ㄉㄚ4"
+ ],
+ "𡚼": [
+ "ㄕ2"
+ ],
+ "𡚽": [
+ "ㄏㄠ4"
+ ],
+ "𡛌": [
+ "ㄧㄝ4"
+ ],
+ "𡛗": [
+ "ㄅㄧ4"
+ ],
+ "𡛘": [
+ "ㄆㄧ3"
+ ],
+ "𡛙": [
+ "ㄧㄠ3",
+ "ㄧㄠ1"
+ ],
+ "𡛜": [
+ "ㄉㄧ1"
+ ],
+ "𡛝": [
+ "ㄘㄢ4"
+ ],
+ "𡛞": [
+ "ㄆㄧㄣ2"
+ ],
+ "𡛟": [
+ "ㄩㄝ4"
+ ],
+ "𡛠": [
+ "ㄑㄧㄝ1"
+ ],
+ "𡛡": [
+ "ㄆㄧ1"
+ ],
+ "𡛵": [
+ "ㄊㄨㄛ3"
+ ],
+ "𡛶": [
+ "ㄒㄧㄝ4"
+ ],
+ "𡛽": [
+ "ㄧㄝ4"
+ ],
+ "𡜀": [
+ "ㄈㄢ4"
+ ],
+ "𡜁": [
+ "ㄍㄨㄚ1"
+ ],
+ "𡜂": [
+ "ㄏㄨ4"
+ ],
+ "𡜃": [
+ "ㄖㄨ3"
+ ],
+ "𡜉": [
+ "ㄖㄢ3",
+ "ㄖㄢ4"
+ ],
+ "𡜊": [
+ "ㄈㄡ3"
+ ],
+ "𡜋": [
+ "ㄏㄨㄤ1"
+ ],
+ "𡜚": [
+ "ㄖㄨ2"
+ ],
+ "𡜢": [
+ "ㄇㄠ3"
+ ],
+ "𡜥": [
+ "ㄉㄨㄟ1"
+ ],
+ "𡜦": [
+ "ㄏㄨㄟ4"
+ ],
+ "𡜧": [
+ "ㄒㄧ4"
+ ],
+ "𡜨": [
+ "ㄒㄧㄡ1"
+ ],
+ "𡜫": [
+ "ㄖㄢ3"
+ ],
+ "𡜬": [
+ "ㄧ1"
+ ],
+ "𡜯": [
+ "ㄓㄜ2"
+ ],
+ "𡜱": [
+ "ㄐㄧ4"
+ ],
+ "𡜲": [
+ "ㄍㄠ4"
+ ],
+ "𡜳": [
+ "ㄧㄡ4"
+ ],
+ "𡜵": [
+ "ㄆㄨ1"
+ ],
+ "𡝈": [
+ "ㄔㄨ4"
+ ],
+ "𡝉": [
+ "ㄘㄨ1"
+ ],
+ "𡝊": [
+ "ㄓㄜ2"
+ ],
+ "𡝋": [
+ "ㄋㄧㄠ3"
+ ],
+ "𡝍": [
+ "ㄑㄧㄝ4"
+ ],
+ "𡝐": [
+ "ㄔㄚ2"
+ ],
+ "𡝒": [
+ "ㄋㄧㄠ3"
+ ],
+ "𡝓": [
+ "ㄙㄨㄟ1"
+ ],
+ "𡝙": [
+ "ㄔㄚ2"
+ ],
+ "𡝚": [
+ "ㄔㄥ2"
+ ],
+ "𡝛": [
+ "ㄧㄠ2"
+ ],
+ "𡝜": [
+ "ㄉㄨ4"
+ ],
+ "𡝝": [
+ "ㄨㄤ1"
+ ],
+ "𡝟": [
+ "ㄋㄧㄢ4"
+ ],
+ "𡝠": [
+ "ㄇㄧ2"
+ ],
+ "𡝦": [
+ "ㄋㄡ3"
+ ],
+ "𡝧": [
+ "ㄒㄧ4"
+ ],
+ "𡝩": [
+ "ㄧㄠ1"
+ ],
+ "𡝫": [
+ "ㄔㄢ1"
+ ],
+ "𡞘": [
+ "ㄒㄧㄝ4"
+ ],
+ "𡞙": [
+ "ㄇㄧㄝ4"
+ ],
+ "𡞚": [
+ "ㄎㄥ3"
+ ],
+ "𡞜": [
+ "ㄘㄨ4"
+ ],
+ "𡞞": [
+ "ㄕㄥ3"
+ ],
+ "𡞟": [
+ "ㄆㄢ4"
+ ],
+ "𡞠": [
+ "ㄏㄨ4"
+ ],
+ "𡞢": [
+ "ㄎㄜ4"
+ ],
+ "𡞣": [
+ "ㄒㄧㄢ4"
+ ],
+ "𡞥": [
+ "ㄏㄡ2"
+ ],
+ "𡞦": [
+ "ㄑㄩㄥ2"
+ ],
+ "𡞧": [
+ "ㄗㄨㄥ1"
+ ],
+ "𡞪": [
+ "ㄈㄨ2"
+ ],
+ "𡞫": [
+ "ㄋㄞ4"
+ ],
+ "𡞭": [
+ "ㄋㄧ4"
+ ],
+ "𡞯": [
+ "ㄎㄨ3"
+ ],
+ "𡞾": [
+ "ㄋㄣ4"
+ ],
+ "𡟍": [
+ "ㄍㄜ1"
+ ],
+ "𡟑": [
+ "ㄏㄡ2"
+ ],
+ "𡟓": [
+ "ㄞ1"
+ ],
+ "𡟕": [
+ "ㄕ1"
+ ],
+ "𡟞": [
+ "ㄒㄧㄡ1"
+ ],
+ "𡟟": [
+ "ㄘㄨㄥ1"
+ ],
+ "𡟠": [
+ "ㄐㄧㄠ1"
+ ],
+ "𡟢": [
+ "ㄓㄚ2"
+ ],
+ "𡟣": [
+ "ㄒㄧㄠ1"
+ ],
+ "𡟤": [
+ "ㄌㄧㄢ4"
+ ],
+ "𡟥": [
+ "ㄑㄩ3"
+ ],
+ "𡟨": [
+ "ㄕㄢ3"
+ ],
+ "𡟩": [
+ "ㄒㄧㄝ4"
+ ],
+ "𡟫": [
+ "ㄍㄨㄥ4"
+ ],
+ "𡟬": [
+ "ㄇㄧㄝ4"
+ ],
+ "𡟭": [
+ "ㄔㄞ2"
+ ],
+ "𡟯": [
+ "ㄣ1"
+ ],
+ "𡟳": [
+ "ㄉㄡ4"
+ ],
+ "𡠆": [
+ "ㄎㄡ4"
+ ],
+ "𡠊": [
+ "ㄊㄧㄠ2"
+ ],
+ "𡠋": [
+ "ㄕ1"
+ ],
+ "𡠏": [
+ "ㄙㄤ1"
+ ],
+ "𡠒": [
+ "ㄍㄨㄢ1"
+ ],
+ "𡠖": [
+ "ㄏㄠ4"
+ ],
+ "𡠗": [
+ "ㄓ4"
+ ],
+ "𡠘": [
+ "ㄧㄤ4"
+ ],
+ "𡠙": [
+ "ㄊㄨㄥ1"
+ ],
+ "𡠚": [
+ "ㄅㄧ4"
+ ],
+ "𡠜": [
+ "ㄇㄛ2",
+ "ㄇㄛ4"
+ ],
+ "𡠞": [
+ "ㄈㄨ2"
+ ],
+ "𡠥": [
+ "ㄑㄧㄤ2"
+ ],
+ "𡠹": [
+ "ㄓ4"
+ ],
+ "𡠼": [
+ "ㄙㄡ1"
+ ],
+ "𡠿": [
+ "ㄋㄧㄠ3"
+ ],
+ "𡡀": [
+ "ㄐㄩㄢ4"
+ ],
+ "𡡂": [
+ "ㄧㄤ4"
+ ],
+ "𡡄": [
+ "ㄏㄨㄤ1"
+ ],
+ "𡡈": [
+ "ㄅㄥ1"
+ ],
+ "𡡉": [
+ "ㄇㄛ2"
+ ],
+ "𡡊": [
+ "ㄔㄠ2"
+ ],
+ "𡡎": [
+ "ㄌㄩ3",
+ "ㄌㄡ2"
+ ],
+ "𡡏": [
+ "ㄕㄠ1"
+ ],
+ "𡡐": [
+ "ㄅㄨ3"
+ ],
+ "𡡑": [
+ "ㄗㄥ1"
+ ],
+ "𡡒": [
+ "ㄙ1",
+ "ㄒㄧ1"
+ ],
+ "𡡔": [
+ "ㄗㄨㄟ4"
+ ],
+ "𡡕": [
+ "ㄩㄝ1"
+ ],
+ "𡡖": [
+ "ㄗㄢ1",
+ "ㄘㄢ1"
+ ],
+ "𡡗": [
+ "ㄌㄨㄢ3",
+ "ㄌㄨㄢ4"
+ ],
+ "𡡥": [
+ "ㄑㄩ2"
+ ],
+ "𡡺": [
+ "ㄇㄧㄠ3"
+ ],
+ "𡢀": [
+ "ㄓㄨㄢ4"
+ ],
+ "𡢈": [
+ "ㄉㄤ4"
+ ],
+ "𡢊": [
+ "ㄩㄢ1"
+ ],
+ "𡢒": [
+ "ㄐㄩ3"
+ ],
+ "𡢕": [
+ "ㄏㄨㄟ3"
+ ],
+ "𡢖": [
+ "ㄑㄧ4"
+ ],
+ "𡢘": [
+ "ㄩㄣ4",
+ "ㄧㄥ2"
+ ],
+ "𡢚": [
+ "ㄇㄢ4"
+ ],
+ "𡢜": [
+ "ㄇㄛ3"
+ ],
+ "𡢱": [
+ "ㄆㄧㄠ1"
+ ],
+ "𡢳": [
+ "ㄐㄧㄣ4"
+ ],
+ "𡢹": [
+ "ㄧㄠ1"
+ ],
+ "𡣀": [
+ "ㄔ4"
+ ],
+ "𡣁": [
+ "ㄋㄧ4"
+ ],
+ "𡣂": [
+ "ㄙㄡ1"
+ ],
+ "𡣈": [
+ "ㄕㄨ4"
+ ],
+ "𡣋": [
+ "ㄆㄧㄠ1"
+ ],
+ "𡣔": [
+ "ㄏㄢ4"
+ ],
+ "𡣠": [
+ "ㄧㄠ1"
+ ],
+ "𡣢": [
+ "ㄋㄟ2"
+ ],
+ "𡣪": [
+ "ㄕ4"
+ ],
+ "𡣬": [
+ "ㄩㄢ1"
+ ],
+ "𡣮": [
+ "ㄘㄞ4"
+ ],
+ "𡣯": [
+ "ㄐㄧㄝ2"
+ ],
+ "𡣹": [
+ "ㄒㄧㄝ4"
+ ],
+ "𡣽": [
+ "ㄧㄢ2"
+ ],
+ "𡣾": [
+ "ㄒㄧㄠ1"
+ ],
+ "𡤋": [
+ "ㄒㄧㄝ4"
+ ],
+ "𡤌": [
+ "ㄌㄧ4"
+ ],
+ "𡤎": [
+ "ㄈㄢ4"
+ ],
+ "𡤗": [
+ "ㄓㄨ4"
+ ],
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+ "ㄋㄚ4"
+ ],
+ "𡤛": [
+ "ㄓㄨㄢ3"
+ ],
+ "𡤞": [
+ "ㄎㄨㄟ1"
+ ],
+ "𡤢": [
+ "ㄌㄨㄛ2"
+ ],
+ "𡤫": [
+ "ㄑㄧㄚ1"
+ ],
+ "𡤶": [
+ "ㄨㄢ1"
+ ],
+ "𡤽": [
+ "ㄕㄨ3"
+ ],
+ "𡤿": [
+ "ㄔㄥ4",
+ "ㄎㄨㄥ3"
+ ],
+ "𡥁": [
+ "ㄧ4"
+ ],
+ "𡥆": [
+ "ㄏㄠ3",
+ "ㄏㄠ4"
+ ],
+ "𡥈": [
+ "ㄐㄧㄠ4"
+ ],
+ "𡥋": [
+ "ㄏㄨㄟ4"
+ ],
+ "𡥍": [
+ "ㄒㄧㄠ4"
+ ],
+ "𡥎": [
+ "ㄘ2",
+ "ㄗ3"
+ ],
+ "𡥞": [
+ "ㄐㄧ4",
+ "ㄅㄟ4"
+ ],
+ "𡥦": [
+ "ㄋㄧ3",
+ "ㄐㄧㄣ4"
+ ],
+ "𡥨": [
+ "ㄋㄧ3",
+ "ㄐㄧㄣ4"
+ ],
+ "𡥩": [
+ "ㄊㄧ3"
+ ],
+ "𡥶": [
+ "ㄐㄩ4",
+ "ㄖㄨ2"
+ ],
+ "𡥸": [
+ "ㄇㄧㄥ4"
+ ],
+ "𡥽": [
+ "ㄌㄧ2"
+ ],
+ "𡥿": [
+ "ㄓㄨㄥ4"
+ ],
+ "𡦁": [
+ "ㄒㄩ4"
+ ],
+ "𡦃": [
+ "ㄑㄩㄥ2"
+ ],
+ "𡦄": [
+ "ㄈㄨ2"
+ ],
+ "𡦆": [
+ "ㄅㄧㄣ4"
+ ],
+ "𡦊": [
+ "ㄐㄧ4"
+ ],
+ "𡦍": [
+ "ㄑㄧ2"
+ ],
+ "𡦎": [
+ "ㄒㄧ4"
+ ],
+ "𡦔": [
+ "ㄉㄥ4"
+ ],
+ "𡦕": [
+ "ㄦ2"
+ ],
+ "𡦛": [
+ "ㄕㄨ2"
+ ],
+ "𡦜": [
+ "ㄊㄨㄥ2"
+ ],
+ "𡦝": [
+ "ㄒㄧㄠ1",
+ "ㄒㄧㄠ2"
+ ],
+ "𡦟": [
+ "ㄆㄧ2"
+ ],
+ "𡦨": [
+ "ㄉㄢ3"
+ ],
+ "𡦪": [
+ "ㄐㄧ2"
+ ],
+ "𡦳": [
+ "ㄒㄧㄠ4"
+ ],
+ "𡦷": [
+ "ㄘㄨㄥ2"
+ ],
+ "𡦻": [
+ "ㄅㄧㄣ1"
+ ],
+ "𡦼": [
+ "ㄖㄨㄥ3"
+ ],
+ "𡧍": [
+ "ㄇㄧㄢ4",
+ "ㄅㄧㄣ1"
+ ],
+ "𡧒": [
+ "ㄇㄧㄢ4"
+ ],
+ "𡧔": [
+ "ㄕㄨ1"
+ ],
+ "𡧕": [
+ "ㄒㄧㄠ2",
+ "ㄕㄡ3"
+ ],
+ "𡧖": [
+ "ㄅㄠ3"
+ ],
+ "𡧗": [
+ "ㄨㄚ4"
+ ],
+ "𡧙": [
+ "ㄆㄠ4"
+ ],
+ "𡧣": [
+ "ㄍㄞ3"
+ ],
+ "𡧥": [
+ "ㄏㄨ1"
+ ],
+ "𡧦": [
+ "ㄏㄥ2"
+ ],
+ "𡧨": [
+ "ㄓㄨ2"
+ ],
+ "𡧩": [
+ "ㄍㄨㄞ1"
+ ],
+ "𡧭": [
+ "ㄍㄨㄟ4",
+ "ㄍㄨㄟ3"
+ ],
+ "𡧹": [
+ "ㄉㄞ4"
+ ],
+ "𡧼": [
+ "ㄅㄧㄣ1"
+ ],
+ "𡧽": [
+ "ㄏㄨㄤ3",
+ "ㄏㄨㄤ1"
+ ],
+ "𡨀": [
+ "ㄔㄚ2"
+ ],
+ "𡨄": [
+ "ㄒㄧㄚ4",
+ "ㄙㄞ1"
+ ],
+ "𡨅": [
+ "ㄐㄩ2"
+ ],
+ "𡨇": [
+ "ㄧㄠ3",
+ "ㄒㄧㄤ3"
+ ],
+ "𡨖": [
+ "ㄈㄣ3"
+ ],
+ "𡨗": [
+ "ㄗㄠ4"
+ ],
+ "𡨛": [
+ "ㄈㄥ1"
+ ],
+ "𡨢": [
+ "ㄐㄩ1"
+ ],
+ "𡨣": [
+ "ㄩ4"
+ ],
+ "𡨩": [
+ "ㄏㄨㄣ1"
+ ],
+ "𡨲": [
+ "ㄐㄧㄝ2"
+ ],
+ "𡨳": [
+ "ㄒㄩㄥ4",
+ "ㄏㄨㄣ4"
+ ],
+ "𡨵": [
+ "ㄋㄞ4"
+ ],
+ "𡨻": [
+ "ㄋㄡ3"
+ ],
+ "𡨽": [
+ "ㄕㄥ3"
+ ],
+ "𡨿": [
+ "ㄩ4"
+ ],
+ "𡩂": [
+ "ㄏㄨㄢ2"
+ ],
+ "𡩃": [
+ "ㄍㄥ3"
+ ],
+ "𡩄": [
+ "ㄨㄢ3"
+ ],
+ "𡩆": [
+ "ㄊㄨㄛ2"
+ ],
+ "𡩇": [
+ "ㄑㄧㄠ1"
+ ],
+ "𡩘": [
+ "ㄧㄣ4"
+ ],
+ "𡩚": [
+ "ㄐㄧㄚ1",
+ "ㄓㄨㄢ4"
+ ],
+ "𡩡": [
+ "ㄙㄨㄛ3"
+ ],
+ "𡩣": [
+ "ㄐㄧㄝ2"
+ ],
+ "𡩤": [
+ "ㄒㄧ1"
+ ],
+ "𡩥": [
+ "ㄨㄥ3"
+ ],
+ "𡩩": [
+ "ㄇㄤ2"
+ ],
+ "𡩶": [
+ "ㄧㄤ2"
+ ],
+ "𡩸": [
+ "ㄧㄠ2"
+ ],
+ "𡩽": [
+ "ㄇㄤ2"
+ ],
+ "𡩾": [
+ "ㄡ1"
+ ],
+ "𡪁": [
+ "ㄢ2"
+ ],
+ "𡪅": [
+ "ㄌㄡ4"
+ ],
+ "𡪑": [
+ "ㄜ4"
+ ],
+ "𡪒": [
+ "ㄗ3"
+ ],
+ "𡪗": [
+ "ㄜ4"
+ ],
+ "𡪙": [
+ "ㄢ4"
+ ],
+ "𡪞": [
+ "ㄏㄨㄛ4"
+ ],
+ "𡪠": [
+ "ㄘㄥ2"
+ ],
+ "𡪰": [
+ "ㄒㄩㄥ4"
+ ],
+ "𡪱": [
+ "ㄐㄧ4"
+ ],
+ "𡪳": [
+ "ㄗㄨㄛ2"
+ ],
+ "𡪵": [
+ "ㄑㄧ2"
+ ],
+ "𡪺": [
+ "ㄓㄥ1"
+ ],
+ "𡫀": [
+ "ㄐㄧ1"
+ ],
+ "𡫁": [
+ "ㄑㄧ1",
+ "ㄔㄣ4"
+ ],
+ "𡫂": [
+ "ㄐㄩㄢ3"
+ ],
+ "𡫃": [
+ "ㄋㄧㄥ2"
+ ],
+ "𡫟": [
+ "ㄙㄜ4"
+ ],
+ "𡫥": [
+ "ㄏㄜ4"
+ ],
+ "𡫦": [
+ "ㄖㄨㄥ3"
+ ],
+ "𡫧": [
+ "ㄑㄧㄣ3"
+ ],
+ "𡫬": [
+ "ㄐㄩ1"
+ ],
+ "𡫯": [
+ "ㄌㄧ4"
+ ],
+ "𡫵": [
+ "ㄕ2"
+ ],
+ "𡫸": [
+ "ㄋㄧ4"
+ ],
+ "𡫹": [
+ "ㄒㄧㄢ2"
+ ],
+ "𡫺": [
+ "ㄈㄨ1"
+ ],
+ "𡫽": [
+ "ㄖㄨ3",
+ "ㄩ4"
+ ],
+ "𡬁": [
+ "ㄒㄩㄥ4"
+ ],
+ "𡬂": [
+ "ㄍㄨㄟ4"
+ ],
+ "𡬄": [
+ "ㄐㄧ4"
+ ],
+ "𡬆": [
+ "ㄇㄥ3",
+ "ㄇㄥ4"
+ ],
+ "𡬇": [
+ "ㄈㄨ1"
+ ],
+ "𡬉": [
+ "ㄙㄞ4"
+ ],
+ "𡬊": [
+ "ㄩ4"
+ ],
+ "𡬋": [
+ "ㄐㄧㄠ4"
+ ],
+ "𡬌": [
+ "ㄇㄥ4"
+ ],
+ "𡬍": [
+ "ㄇㄧ2",
+ "ㄌㄨㄥ2",
+ "ㄇㄧ3"
+ ],
+ "𡬎": [
+ "ㄑㄧㄤ1"
+ ],
+ "𡬐": [
+ "ㄧ2",
+ "ㄇㄧ2"
+ ],
+ "𡬓": [
+ "ㄧ2"
+ ],
+ "𡬕": [
+ "ㄌㄨㄥ2"
+ ],
+ "𡬖": [
+ "ㄏㄢ1"
+ ],
+ "𡬗": [
+ "ㄋㄧ4"
+ ],
+ "𡬘": [
+ "ㄌㄠ4"
+ ],
+ "𡬙": [
+ "ㄙㄥ4"
+ ],
+ "𡬜": [
+ "ㄌㄧㄣ3"
+ ],
+ "𡬞": [
+ "ㄩ4"
+ ],
+ "𡬥": [
+ "ㄋㄨㄛ2"
+ ],
+ "𡬫": [
+ "ㄨ4"
+ ],
+ "𡬯": [
+ "ㄅㄧㄢ3"
+ ],
+ "𡬲": [
+ "ㄅㄧㄢ3"
+ ],
+ "𡬳": [
+ "ㄒㄩㄢ1",
+ "ㄕㄡ4"
+ ],
+ "𡬵": [
+ "ㄐㄧㄢ1"
+ ],
+ "𡬸": [
+ "ㄅㄧㄢ3"
+ ],
+ "𡭂": [
+ "ㄉㄜ2"
+ ],
+ "𡭇": [
+ "ㄓㄨㄢ1"
+ ],
+ "𡭋": [
+ "ㄖㄨㄥ3"
+ ],
+ "𡭐": [
+ "ㄕㄨㄢ4"
+ ],
+ "𡭘": [
+ "ㄐㄧㄚ1"
+ ],
+ "𡭛": [
+ "ㄏㄨㄟ3"
+ ],
+ "𡭞": [
+ "ㄓㄢ1"
+ ],
+ "𡭢": [
+ "ㄅㄞ4"
+ ],
+ "𡭣": [
+ "ㄌㄧㄝ4"
+ ],
+ "𡭥": [
+ "ㄒㄧㄝ1"
+ ],
+ "𡭭": [
+ "ㄐㄧㄢ3"
+ ],
+ "𡭮": [
+ "ㄕㄡ3"
+ ],
+ "𡭳": [
+ "ㄎㄠ4"
+ ],
+ "𡭷": [
+ "ㄍㄨㄢ1"
+ ],
+ "𡭸": [
+ "ㄌㄨㄢ4"
+ ],
+ "𡭾": [
+ "ㄋㄡ3"
+ ],
+ "𡭿": [
+ "ㄔㄤ3"
+ ],
+ "𡮎": [
+ "ㄌㄧㄤ2"
+ ],
+ "𡮙": [
+ "ㄋㄞ4"
+ ],
+ "𡮚": [
+ "ㄖㄨ3"
+ ],
+ "𡮞": [
+ "ㄓ4"
+ ],
+ "𡮦": [
+ "ㄘㄠ2"
+ ],
+ "𡮰": [
+ "ㄌㄧ4"
+ ],
+ "𡮻": [
+ "ㄌㄢ2"
+ ],
+ "𡮿": [
+ "ㄔㄢ1"
+ ],
+ "𡯁": [
+ "ㄨㄤ1"
+ ],
+ "𡯄": [
+ "ㄌㄧ4"
+ ],
+ "𡯇": [
+ "ㄨ4"
+ ],
+ "𡯈": [
+ "ㄆㄠ2"
+ ],
+ "𡯉": [
+ "ㄧㄡ4"
+ ],
+ "𡯋": [
+ "ㄍㄢ1"
+ ],
+ "𡯏": [
+ "ㄢ1"
+ ],
+ "𡯐": [
+ "ㄒㄧㄡ1"
+ ],
+ "𡯑": [
+ "ㄕㄨㄟ3",
+ "ㄓㄨㄟ3"
+ ],
+ "𡯒": [
+ "ㄖㄨㄟ3"
+ ],
+ "𡯘": [
+ "ㄅㄢ3"
+ ],
+ "𡯙": [
+ "ㄧㄡ2"
+ ],
+ "𡯢": [
+ "ㄏㄨㄛ2"
+ ],
+ "𡯥": [
+ "ㄏㄨㄟ1"
+ ],
+ "𡯨": [
+ "ㄗㄨㄛ4"
+ ],
+ "𡯩": [
+ "ㄒㄧㄠ1"
+ ],
+ "𡯫": [
+ "ㄇㄧㄢ2"
+ ],
+ "𡯰": [
+ "ㄍㄚ4"
+ ],
+ "𡯱": [
+ "ㄩㄢ3"
+ ],
+ "𡯳": [
+ "ㄅㄛ4"
+ ],
+ "𡯴": [
+ "ㄔㄠ4"
+ ],
+ "𡯵": [
+ "ㄊㄨㄟ3",
+ "ㄎㄨㄟ4"
+ ],
+ "𡯷": [
+ "ㄅㄛ4",
+ "ㄎㄡ4"
+ ],
+ "𡯽": [
+ "ㄍㄚ4"
+ ],
+ "𡯿": [
+ "ㄊㄧㄠ1"
+ ],
+ "𡰀": [
+ "ㄋㄚ2"
+ ],
+ "𡰅": [
+ "ㄏㄨ2"
+ ],
+ "𡰆": [
+ "ㄋㄧㄝ4"
+ ],
+ "𡰋": [
+ "ㄏㄨㄟ2"
+ ],
+ "𡰌": [
+ "ㄌㄡ3"
+ ],
+ "𡰎": [
+ "ㄊㄧ2"
+ ],
+ "𡰐": [
+ "ㄑㄧㄠ4"
+ ],
+ "𡰑": [
+ "ㄑㄧㄠ2"
+ ],
+ "𡰒": [
+ "ㄓㄨㄥ3"
+ ],
+ "𡰖": [
+ "ㄉㄧ1"
+ ],
+ "𡰚": [
+ "ㄌㄧㄣ2"
+ ],
+ "𡰝": [
+ "ㄑㄩㄢ2"
+ ],
+ "𡰞": [
+ "ㄓㄨㄢ1"
+ ],
+ "𡰠": [
+ "ㄌㄟ2",
+ "ㄌㄨㄢ2"
+ ],
+ "𡰢": [
+ "ㄒㄧㄝ2"
+ ],
+ "𡰥": [
+ "ㄖㄣ2",
+ "ㄧ2"
+ ],
+ "𡰨": [
+ "ㄉㄤ1"
+ ],
+ "𡰪": [
+ "ㄉㄨ1"
+ ],
+ "𡰫": [
+ "ㄋㄧㄢ3"
+ ],
+ "𡰯": [
+ "ㄕ3",
+ "ㄉㄧㄠ3",
+ "ㄅㄟ3"
+ ],
+ "𡰲": [
+ "ㄒㄧㄢ2"
+ ],
+ "𡰹": [
+ "ㄓ2"
+ ],
+ "𡰽": [
+ "ㄞ4"
+ ],
+ "𡰾": [
+ "ㄘ1"
+ ],
+ "𡰿": [
+ "ㄆㄨ2"
+ ],
+ "𡱁": [
+ "ㄕ3"
+ ],
+ "𡱅": [
+ "ㄑㄩ1"
+ ],
+ "𡱆": [
+ "ㄕㄨ3"
+ ],
+ "𡱇": [
+ "ㄉㄧㄢ1"
+ ],
+ "𡱉": [
+ "ㄒㄧㄠ3"
+ ],
+ "𡱊": [
+ "ㄕㄨㄟ3"
+ ],
+ "𡱌": [
+ "ㄏㄨㄢ2"
+ ],
+ "𡱐": [
+ "ㄧ2"
+ ],
+ "𡱑": [
+ "ㄐㄩㄢ1"
+ ],
+ "𡱔": [
+ "ㄓ3",
+ "ㄑㄧ4"
+ ],
+ "𡱜": [
+ "ㄓㄠ4"
+ ],
+ "𡱣": [
+ "ㄒㄩ4"
+ ],
+ "𡱯": [
+ "ㄌㄨㄥ4"
+ ],
+ "𡱱": [
+ "ㄓㄨ4"
+ ],
+ "𡱳": [
+ "ㄙㄨㄛ3"
+ ],
+ "𡱷": [
+ "ㄉㄧㄝ2"
+ ],
+ "𡱺": [
+ "ㄑㄩ2"
+ ],
+ "𡱼": [
+ "ㄎㄜ4",
+ "ㄎㄨㄚ4"
+ ],
+ "𡱽": [
+ "ㄏㄨ1"
+ ],
+ "𡱾": [
+ "ㄐㄩ1"
+ ],
+ "𡲀": [
+ "ㄑㄧㄥ3"
+ ],
+ "𡲍": [
+ "ㄅㄧㄥ1"
+ ],
+ "𡲕": [
+ "ㄊㄧ4"
+ ],
+ "𡲗": [
+ "ㄐㄩㄝ2"
+ ],
+ "𡲚": [
+ "ㄑㄧㄡ2"
+ ],
+ "𡲣": [
+ "ㄐㄧㄤ4"
+ ],
+ "𡲪": [
+ "ㄩㄣ4"
+ ],
+ "𡲭": [
+ "ㄇㄟ4"
+ ],
+ "𡲮": [
+ "ㄆㄧ1"
+ ],
+ "𡲰": [
+ "ㄑㄩ2"
+ ],
+ "𡲼": [
+ "ㄇㄧ4"
+ ],
+ "𡲿": [
+ "ㄊㄧ4"
+ ],
+ "𡳂": [
+ "ㄎㄞ4"
+ ],
+ "𡳄": [
+ "ㄅㄧ3"
+ ],
+ "𡳆": [
+ "ㄑㄩ1",
+ "ㄑㄩ4"
+ ],
+ "𡳏": [
+ "ㄊㄧㄠ1"
+ ],
+ "𡳑": [
+ "ㄔㄨ4"
+ ],
+ "𡳘": [
+ "ㄐㄩ2"
+ ],
+ "𡳚": [
+ "ㄒㄧ1"
+ ],
+ "𡳞": [
+ "ㄌㄧㄣ4"
+ ],
+ "𡳭": [
+ "ㄔ3"
+ ],
+ "𡳮": [
+ "ㄐㄧ1"
+ ],
+ "𡳴": [
+ "ㄌㄨ2"
+ ],
+ "𡳸": [
+ "ㄌㄧ4"
+ ],
+ "𡳾": [
+ "ㄐㄩㄝ2"
+ ],
+ "𡴅": [
+ "ㄓㄨ1"
+ ],
+ "𡴆": [
+ "ㄌㄨ4"
+ ],
+ "𡴎": [
+ "ㄋㄧㄝ4"
+ ],
+ "𡴔": [
+ "ㄑㄩㄢ2"
+ ],
+ "𡴭": [
+ "ㄧㄚ4"
+ ],
+ "𡴯": [
+ "ㄜ4"
+ ],
+ "𡴱": [
+ "ㄏㄨ4",
+ "ㄐㄧㄝ2"
+ ],
+ "𡵀": [
+ "ㄇㄤ2"
+ ],
+ "𡵉": [
+ "ㄨ4"
+ ],
+ "𡵌": [
+ "ㄔㄚ1"
+ ],
+ "𡵑": [
+ "ㄑㄧㄣ1"
+ ],
+ "𡵒": [
+ "ㄐㄧㄝ2",
+ "ㄑㄧ3"
+ ],
+ "𡵓": [
+ "ㄏㄨㄥ2"
+ ],
+ "𡵕": [
+ "ㄉㄢ1"
+ ],
+ "𡵖": [
+ "ㄣ3"
+ ],
+ "𡵗": [
+ "ㄗㄜ4"
+ ],
+ "𡵘": [
+ "ㄏㄨ4"
+ ],
+ "𡵙": [
+ "ㄤ4"
+ ],
+ "𡵚": [
+ "ㄐㄧㄝ4"
+ ],
+ "𡵛": [
+ "ㄈㄨ4"
+ ],
+ "𡵜": [
+ "ㄩㄥ4"
+ ],
+ "𡵞": [
+ "ㄈㄥ1"
+ ],
+ "𡵬": [
+ "ㄇㄨ4"
+ ],
+ "𡵶": [
+ "ㄙㄜ4"
+ ],
+ "𡵷": [
+ "ㄘㄨㄥ2"
+ ],
+ "𡵻": [
+ "ㄎㄤ1"
+ ],
+ "𡶂": [
+ "ㄧㄠ4"
+ ],
+ "𡶃": [
+ "ㄞ4"
+ ],
+ "𡶄": [
+ "ㄅㄠ1"
+ ],
+ "𡶆": [
+ "ㄆㄛ3"
+ ],
+ "𡶈": [
+ "ㄕ3"
+ ],
+ "𡶉": [
+ "ㄈㄢ4"
+ ],
+ "𡶋": [
+ "ㄐㄩ2"
+ ],
+ "𡶌": [
+ "ㄆㄧ2"
+ ],
+ "𡶎": [
+ "ㄨㄟ4"
+ ],
+ "𡶏": [
+ "ㄎㄨ1"
+ ],
+ "𡶐": [
+ "ㄑㄧㄝ2"
+ ],
+ "𡶑": [
+ "ㄍㄢ1"
+ ],
+ "𡶢": [
+ "ㄎㄨㄤ4"
+ ],
+ "𡶣": [
+ "ㄙㄨㄟ4"
+ ],
+ "𡶤": [
+ "ㄅㄥ1",
+ "ㄩㄥ4"
+ ],
+ "𡶥": [
+ "ㄐㄧㄚ1"
+ ],
+ "𡶦": [
+ "ㄧㄚ4"
+ ],
+ "𡶪": [
+ "ㄎㄢ4"
+ ],
+ "𡶫": [
+ "ㄋㄧㄝ4"
+ ],
+ "𡶭": [
+ "ㄒㄧㄥ2"
+ ],
+ "𡶯": [
+ "ㄒㄧ4"
+ ],
+ "𡶱": [
+ "ㄌㄧㄣ4"
+ ],
+ "𡶲": [
+ "ㄉㄨㄛ3"
+ ],
+ "𡶴": [
+ "ㄔㄢ3"
+ ],
+ "𡷈": [
+ "ㄕ4"
+ ],
+ "𡷋": [
+ "ㄉㄨㄟ4"
+ ],
+ "𡷍": [
+ "ㄐㄧㄤ1"
+ ],
+ "𡷎": [
+ "ㄩ3"
+ ],
+ "𡷏": [
+ "ㄌㄨ4"
+ ],
+ "𡷐": [
+ "ㄣ3"
+ ],
+ "𡷓": [
+ "ㄍㄨ3"
+ ],
+ "𡷕": [
+ "ㄨㄟ3"
+ ],
+ "𡷖": [
+ "ㄔㄜ1"
+ ],
+ "𡷗": [
+ "ㄏㄨㄢ4",
+ "ㄏㄨㄢ2"
+ ],
+ "𡷘": [
+ "ㄅㄧㄝ2"
+ ],
+ "𡷛": [
+ "ㄏㄢ4"
+ ],
+ "𡷜": [
+ "ㄊㄨㄟ2"
+ ],
+ "𡷝": [
+ "ㄋㄚ4"
+ ],
+ "𡷞": [
+ "ㄑㄧ3"
+ ],
+ "𡷠": [
+ "ㄊㄡ2"
+ ],
+ "𡷡": [
+ "ㄩㄢ1"
+ ],
+ "𡷢": [
+ "ㄨㄤ2"
+ ],
+ "𡷤": [
+ "ㄨ2"
+ ],
+ "𡷥": [
+ "ㄍㄠ4"
+ ],
+ "𡷨": [
+ "ㄎㄥ1",
+ "ㄒㄧㄥ2"
+ ],
+ "𡷪": [
+ "ㄧ2",
+ "ㄋㄧㄥ2"
+ ],
+ "𡷸": [
+ "ㄒㄧㄠ1"
+ ],
+ "𡷺": [
+ "ㄍㄨㄟ3"
+ ],
+ "𡷻": [
+ "ㄧㄚ4"
+ ],
+ "𡷼": [
+ "ㄙㄨㄟ4"
+ ],
+ "𡷽": [
+ "ㄙㄨㄥ3"
+ ],
+ "𡷿": [
+ "ㄓㄨㄛ2"
+ ],
+ "𡸂": [
+ "ㄊㄨ1",
+ "ㄊㄨ2"
+ ],
+ "𡸃": [
+ "ㄒㄧㄢ3",
+ "ㄐㄧㄢ3"
+ ],
+ "𡸈": [
+ "ㄗㄜ4"
+ ],
+ "𡸉": [
+ "ㄌㄧ4"
+ ],
+ "𡸌": [
+ "ㄓㄨ4"
+ ],
+ "𡸎": [
+ "ㄐㄧㄝ2"
+ ],
+ "𡸑": [
+ "ㄊㄧ4"
+ ],
+ "𡸔": [
+ "ㄒㄧㄝ2"
+ ],
+ "𡸕": [
+ "ㄑㄩㄥ2"
+ ],
+ "𡸗": [
+ "ㄧㄚ4"
+ ],
+ "𡸘": [
+ "ㄐㄩ1"
+ ],
+ "𡸛": [
+ "ㄧㄣ2"
+ ],
+ "𡸜": [
+ "ㄓ2"
+ ],
+ "𡸞": [
+ "ㄎㄢ3"
+ ],
+ "𡸟": [
+ "ㄗ1"
+ ],
+ "𡸡": [
+ "ㄎㄜ1"
+ ],
+ "𡸣": [
+ "ㄋㄧㄝ4"
+ ],
+ "𡸤": [
+ "ㄑㄧㄤ2"
+ ],
+ "𡸥": [
+ "ㄨㄢ3"
+ ],
+ "𡸦": [
+ "ㄗㄜ2"
+ ],
+ "𡸨": [
+ "ㄐㄩ1"
+ ],
+ "𡸪": [
+ "ㄗ4"
+ ],
+ "𡹄": [
+ "ㄧㄚ4"
+ ],
+ "𡹇": [
+ "ㄌㄧㄣ2"
+ ],
+ "𡹉": [
+ "ㄑㄧ2"
+ ],
+ "𡹎": [
+ "ㄏㄨㄟ2"
+ ],
+ "𡹓": [
+ "ㄑㄧ4"
+ ],
+ "𡹕": [
+ "ㄧㄤ2"
+ ],
+ "𡹖": [
+ "ㄙㄨㄟ4"
+ ],
+ "𡹘": [
+ "ㄑㄧ3"
+ ],
+ "𡹙": [
+ "ㄍㄨㄟ1"
+ ],
+ "𡹢": [
+ "ㄑㄧㄣ4"
+ ],
+ "𡹣": [
+ "ㄜ1"
+ ],
+ "𡹥": [
+ "ㄗㄨㄛ4"
+ ],
+ "𡹨": [
+ "ㄗㄜ4"
+ ],
+ "𡹩": [
+ "ㄑㄧ4"
+ ],
+ "𡹪": [
+ "ㄐㄧ2"
+ ],
+ "𡹬": [
+ "ㄊㄨㄛ2"
+ ],
+ "𡹭": [
+ "ㄉㄧㄝ2"
+ ],
+ "𡹯": [
+ "ㄏㄨㄟ4"
+ ],
+ "𡹰": [
+ "ㄇㄠ2"
+ ],
+ "𡹲": [
+ "ㄒㄩ3"
+ ],
+ "𡹵": [
+ "ㄏㄡ2"
+ ],
+ "𡹶": [
+ "ㄧㄢ3"
+ ],
+ "𡹷": [
+ "ㄒㄧㄤ2"
+ ],
+ "𡹸": [
+ "ㄘㄨㄥ1"
+ ],
+ "𡹹": [
+ "ㄏㄨ2"
+ ],
+ "𡹼": [
+ "ㄢ4",
+ "ㄧㄢ3"
+ ],
+ "𡹾": [
+ "ㄅㄧㄥ3"
+ ],
+ "𡺇": [
+ "ㄉㄨㄛ3"
+ ],
+ "𡺐": [
+ "ㄓㄨ3"
+ ],
+ "𡺑": [
+ "ㄉㄧㄝ2"
+ ],
+ "𡺒": [
+ "ㄧㄡ1"
+ ],
+ "𡺓": [
+ "ㄑㄧ3"
+ ],
+ "𡺔": [
+ "ㄕ2"
+ ],
+ "𡺕": [
+ "ㄒㄩㄣ1"
+ ],
+ "𡺖": [
+ "ㄧㄡ1"
+ ],
+ "𡺗": [
+ "ㄎㄢ1"
+ ],
+ "𡺘": [
+ "ㄑㄧㄠ3"
+ ],
+ "𡺛": [
+ "ㄑㄧㄤ1",
+ "ㄏㄨㄚ4"
+ ],
+ "𡺜": [
+ "ㄆㄣ2"
+ ],
+ "𡺟": [
+ "ㄑㄩㄢ2"
+ ],
+ "𡺡": [
+ "ㄧㄥ2"
+ ],
+ "𡺧": [
+ "ㄕㄚ1"
+ ],
+ "𡺫": [
+ "ㄊㄠ1"
+ ],
+ "𡺭": [
+ "ㄏㄨㄥ4"
+ ],
+ "𡺮": [
+ "ㄆㄧ3"
+ ],
+ "𡺯": [
+ "ㄧㄠ2"
+ ],
+ "𡺴": [
+ "ㄊㄨ2"
+ ],
+ "𡺵": [
+ "ㄔㄞ2"
+ ],
+ "𡺷": [
+ "ㄒㄧㄚ4"
+ ],
+ "𡺸": [
+ "ㄑㄧ2"
+ ],
+ "𡺺": [
+ "ㄑㄩㄥ2"
+ ],
+ "𡺽": [
+ "ㄐㄧㄣ4"
+ ],
+ "𡻈": [
+ "ㄓㄣ1"
+ ],
+ "𡻌": [
+ "ㄓㄨ1"
+ ],
+ "𡻎": [
+ "ㄒㄧ1"
+ ],
+ "𡻐": [
+ "ㄨㄥ1"
+ ],
+ "𡻑": [
+ "ㄓㄨㄥ3"
+ ],
+ "𡻕": [
+ "ㄙㄨㄟ4"
+ ],
+ "𡻘": [
+ "ㄎㄜ1"
+ ],
+ "𡻙": [
+ "ㄎㄨㄛ4"
+ ],
+ "𡻚": [
+ "ㄎㄤ3"
+ ],
+ "𡻝": [
+ "ㄔㄠ2"
+ ],
+ "𡻞": [
+ "ㄅㄧ4"
+ ],
+ "𡻟": [
+ "ㄇㄛ4"
+ ],
+ "𡻠": [
+ "ㄓㄨ4"
+ ],
+ "𡻡": [
+ "ㄏㄢ4",
+ "ㄧㄢ2"
+ ],
+ "𡻢": [
+ "ㄩ3"
+ ],
+ "𡻣": [
+ "ㄧ2"
+ ],
+ "𡻤": [
+ "ㄇㄚ2"
+ ],
+ "𡻧": [
+ "ㄑㄧ4"
+ ],
+ "𡻨": [
+ "ㄍㄨㄣ4"
+ ],
+ "𡻩": [
+ "ㄇㄢ4"
+ ],
+ "𡻪": [
+ "ㄌㄧㄠ2",
+ "ㄌㄧㄡ4"
+ ],
+ "𡻫": [
+ "ㄌㄧㄣ2"
+ ],
+ "𡻬": [
+ "ㄗㄨ2"
+ ],
+ "𡻭": [
+ "ㄌㄟ3"
+ ],
+ "𡻮": [
+ "ㄏㄨ4"
+ ],
+ "𡻯": [
+ "ㄔㄨㄤ3"
+ ],
+ "𡻰": [
+ "ㄑㄧ4"
+ ],
+ "𡻱": [
+ "ㄌㄟ2"
+ ],
+ "𡼁": [
+ "ㄔ1"
+ ],
+ "𡼃": [
+ "ㄆㄛ2"
+ ],
+ "𡼄": [
+ "ㄉㄧㄝ2"
+ ],
+ "𡼊": [
+ "ㄌㄟ3"
+ ],
+ "𡼎": [
+ "ㄧ3"
+ ],
+ "𡼓": [
+ "ㄉㄧㄢ4"
+ ],
+ "𡼖": [
+ "ㄉㄨㄣ1"
+ ],
+ "𡼗": [
+ "ㄍㄠ1"
+ ],
+ "𡼘": [
+ "ㄏㄨ1"
+ ],
+ "𡼚": [
+ "ㄒㄧㄠ1"
+ ],
+ "𡼛": [
+ "ㄍㄚ2"
+ ],
+ "𡼜": [
+ "ㄆㄥ1"
+ ],
+ "𡼬": [
+ "ㄕㄣ3"
+ ],
+ "𡼱": [
+ "ㄨㄟ2"
+ ],
+ "𡼻": [
+ "ㄉㄨㄟ4"
+ ],
+ "𡼼": [
+ "ㄔㄠ2"
+ ],
+ "𡼽": [
+ "ㄧㄣ3"
+ ],
+ "𡼾": [
+ "ㄎㄨㄞ4"
+ ],
+ "𡼿": [
+ "ㄎㄨ1"
+ ],
+ "𡽁": [
+ "ㄗㄨㄟ4"
+ ],
+ "𡽂": [
+ "ㄍㄨ3"
+ ],
+ "𡽅": [
+ "ㄩㄣ4"
+ ],
+ "𡽆": [
+ "ㄓ4"
+ ],
+ "𡽉": [
+ "ㄐㄧ4"
+ ],
+ "𡽊": [
+ "ㄔㄥ1"
+ ],
+ "𡽖": [
+ "ㄒㄧㄝ4"
+ ],
+ "𡽛": [
+ "ㄗㄨㄟ3"
+ ],
+ "𡽜": [
+ "ㄢ2"
+ ],
+ "𡽝": [
+ "ㄏㄠ1"
+ ],
+ "𡽠": [
+ "ㄆㄛ3"
+ ],
+ "𡽢": [
+ "ㄉㄧ2"
+ ],
+ "𡽣": [
+ "ㄧㄝ4"
+ ],
+ "𡽧": [
+ "ㄋㄠ2"
+ ],
+ "𡽱": [
+ "ㄐㄧㄝ2"
+ ],
+ "𡽲": [
+ "ㄅㄤ4"
+ ],
+ "𡽳": [
+ "ㄌㄢ3"
+ ],
+ "𡽴": [
+ "ㄘㄤ2"
+ ],
+ "𡽶": [
+ "ㄅㄧ4"
+ ],
+ "𡽻": [
+ "ㄓㄢ3"
+ ],
+ "𡽼": [
+ "ㄑㄧ4"
+ ],
+ "𡾂": [
+ "ㄋㄠ2"
+ ],
+ "𡾅": [
+ "ㄌㄩ4"
+ ],
+ "𡾇": [
+ "ㄎㄨㄤ4"
+ ],
+ "𡾉": [
+ "ㄇㄛ2"
+ ],
+ "𡾋": [
+ "ㄌㄟ3",
+ "ㄌㄟ2"
+ ],
+ "𡾌": [
+ "ㄆㄠ2"
+ ],
+ "𡾒": [
+ "ㄌㄧ4"
+ ],
+ "𡾓": [
+ "ㄘㄥ2"
+ ],
+ "𡾕": [
+ "ㄉㄤ4"
+ ],
+ "𡾖": [
+ "ㄌㄟ3"
+ ],
+ "𡾙": [
+ "ㄜ4"
+ ],
+ "𡾛": [
+ "ㄅㄥ4"
+ ],
+ "𡾜": [
+ "ㄐㄩㄝ2",
+ "ㄏㄨㄛ4"
+ ],
+ "𡾥": [
+ "ㄒㄩㄢ2"
+ ],
+ "𡾦": [
+ "ㄋㄧㄝ4"
+ ],
+ "𡾨": [
+ "ㄏㄞ4"
+ ],
+ "𡾮": [
+ "ㄒㄧㄢ3"
+ ],
+ "𡾰": [
+ "ㄐㄧㄢ3"
+ ],
+ "𡾱": [
+ "ㄇㄧ2"
+ ],
+ "𡾲": [
+ "ㄋㄧㄝ4"
+ ],
+ "𡾻": [
+ "ㄘㄤ2"
+ ],
+ "𡾼": [
+ "ㄙㄨㄥ3"
+ ],
+ "𡾽": [
+ "ㄗㄥ1"
+ ],
+ "𡾾": [
+ "ㄧ4"
+ ],
+ "𡿂": [
+ "ㄔㄨㄥ2"
+ ],
+ "𡿄": [
+ "ㄘㄤ2"
+ ],
+ "𡿉": [
+ "ㄌㄟ3"
+ ],
+ "𡿊": [
+ "ㄋㄨㄛ2"
+ ],
+ "𡿋": [
+ "ㄌㄧ4"
+ ],
+ "𡿎": [
+ "ㄌㄧ2"
+ ],
+ "𡿏": [
+ "ㄌㄨㄛ2"
+ ],
+ "𡿓": [
+ "ㄊㄤ3"
+ ],
+ "𡿖": [
+ "ㄋㄧㄝ4",
+ "ㄧㄚ4"
+ ],
+ "𡿗": [
+ "ㄋㄧㄝ4"
+ ],
+ "𡿙": [
+ "ㄐㄧ1"
+ ],
+ "𡿛": [
+ "ㄌㄟ3"
+ ],
+ "𡿝": [
+ "ㄋㄤ4"
+ ],
+ "𡿠": [
+ "ㄌㄧㄣ2"
+ ],
+ "𡿡": [
+ "ㄌㄧㄥ2"
+ ],
+ "𡿤": [
+ "ㄒㄧㄢ2"
+ ],
+ "𡿥": [
+ "ㄩ4"
+ ],
+ "𡿧": [
+ "ㄗㄞ1"
+ ],
+ "𡿨": [
+ "ㄑㄩㄢ3"
+ ],
+ "𡿩": [
+ "ㄌㄧㄝ4"
+ ],
+ "𡿯": [
+ "ㄩ4"
+ ],
+ "𡿰": [
+ "ㄏㄨㄤ1"
+ ],
+ "𡿺": [
+ "ㄋㄠ3"
+ ],
+ "𡿼": [
+ "ㄒㄩㄣ4"
+ ],
+ "𡿾": [
+ "ㄐㄩ2"
+ ],
+ "𡿿": [
+ "ㄏㄨㄛ4"
+ ],
+ "𢀁": [
+ "ㄧ4"
+ ],
+ "𢀊": [
+ "ㄒㄧ1"
+ ],
+ "𢀋": [
+ "ㄙㄜ4"
+ ],
+ "𢀌": [
+ "ㄐㄧㄠ3"
+ ],
+ "𢀍": [
+ "ㄩㄥ1"
+ ],
+ "𢀕": [
+ "ㄕ1"
+ ],
+ "𢀖": [
+ "ㄐㄧㄥ1"
+ ],
+ "𢀗": [
+ "ㄨㄢ4"
+ ],
+ "𢀘": [
+ "ㄧㄝ3"
+ ],
+ "𢀙": [
+ "ㄐㄧㄡ1"
+ ],
+ "𢀜": [
+ "ㄍㄨㄥ3"
+ ],
+ "𢀡": [
+ "ㄏㄨㄟ1",
+ "ㄗㄨㄛ3"
+ ],
+ "𢀪": [
+ "ㄦ3"
+ ],
+ "𢀵": [
+ "ㄏㄢ4"
+ ],
+ "𢀼": [
+ "ㄈㄨ2"
+ ],
+ "𢁀": [
+ "ㄈㄨ2"
+ ],
+ "𢁁": [
+ "ㄓㄨㄛ2"
+ ],
+ "𢁂": [
+ "ㄐㄧ1",
+ "ㄐㄧ4"
+ ],
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+ "ㄘㄨㄟ4"
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+ ],
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+ ],
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+ "ㄕㄚ1"
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+ "ㄉㄢ4"
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+ "ㄍㄨㄛ4"
+ ],
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+ "ㄅㄧㄠ1"
+ ],
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+ "ㄘ4"
+ ],
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+ "ㄉㄧㄢ4"
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+ "ㄌㄩ4"
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+ "ㄧㄢ3"
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+ "ㄍㄞ4"
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+ "ㄅㄧ4"
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+ "ㄏㄨㄟ4"
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+ "ㄌㄞ3"
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+ "ㄒㄧㄢ2"
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+ "ㄈㄣ4"
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+ "ㄏㄜ4"
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+ "ㄧㄠ4"
+ ],
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+ "ㄓㄢ3"
+ ],
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+ "ㄋㄟ2"
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+ "ㄩㄢ2"
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+ "ㄋㄥ2"
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+ "ㄖㄣ3"
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+ "ㄍㄜ2"
+ ],
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+ "ㄐㄧㄢ3"
+ ],
+ "𢆟": [
+ "ㄆㄧㄥ2"
+ ],
+ "𢆣": [
+ "ㄅㄧㄝ4"
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+ "ㄐㄧㄢ4"
+ ],
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+ "ㄅㄧㄥ4"
+ ],
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+ "ㄇㄧ4",
+ "ㄒㄩㄢ2"
+ ],
+ "𢆰": [
+ "ㄏㄨ4"
+ ],
+ "𢆴": [
+ "ㄉㄧㄠ3"
+ ],
+ "𢆶": [
+ "ㄧㄡ1",
+ "ㄗ1"
+ ],
+ "𢆷": [
+ "ㄧㄠ1",
+ "ㄇㄧㄠ4"
+ ],
+ "𢆸": [
+ "ㄅㄥ1"
+ ],
+ "𢆺": [
+ "ㄔㄣ2"
+ ],
+ "𢆻": [
+ "ㄐㄧ1",
+ "ㄉㄨㄟ4"
+ ],
+ "𢆽": [
+ "ㄧㄠ1"
+ ],
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+ "ㄍㄨㄢ1"
+ ],
+ "𢇈": [
+ "ㄧㄢ4"
+ ],
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+ "ㄔ3"
+ ],
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+ "ㄕㄚ4"
+ ],
+ "𢇘": [
+ "ㄧㄢ3"
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+ "𢇙": [
+ "ㄧ4"
+ ],
+ "𢇚": [
+ "ㄧ4"
+ ],
+ "𢇛": [
+ "ㄔㄜ4",
+ "ㄔ3"
+ ],
+ "𢇞": [
+ "ㄏㄢ4"
+ ],
+ "𢇟": [
+ "ㄏㄨㄤ1"
+ ],
+ "𢇤": [
+ "ㄕㄨㄟ4"
+ ],
+ "𢇥": [
+ "ㄙㄨㄟ4"
+ ],
+ "𢇦": [
+ "ㄖㄣ2"
+ ],
+ "𢇧": [
+ "ㄊㄢ2"
+ ],
+ "𢇨": [
+ "ㄓ3"
+ ],
+ "𢇪": [
+ "ㄈㄢ4"
+ ],
+ "𢇫": [
+ "ㄈㄥ3"
+ ],
+ "𢇰": [
+ "ㄊㄢ2"
+ ],
+ "𢇲": [
+ "ㄇㄧ2"
+ ],
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+ "ㄆㄧ2"
+ ],
+ "𢇴": [
+ "ㄅㄨ4"
+ ],
+ "𢇵": [
+ "ㄋㄚ4"
+ ],
+ "𢇶": [
+ "ㄊㄧㄢ2"
+ ],
+ "𢇷": [
+ "ㄅㄚ2"
+ ],
+ "𢇸": [
+ "ㄧ4"
+ ],
+ "𢈂": [
+ "ㄧㄢ3"
+ ],
+ "𢈄": [
+ "ㄊㄧㄠ1"
+ ],
+ "𢈆": [
+ "ㄧㄠ2"
+ ],
+ "𢈇": [
+ "ㄕㄣ3"
+ ],
+ "𢈈": [
+ "ㄎㄜ1",
+ "ㄨㄚ1"
+ ],
+ "𢈉": [
+ "ㄊㄨㄥ2"
+ ],
+ "𢈋": [
+ "ㄒㄩㄢ3"
+ ],
+ "𢈓": [
+ "ㄧㄡ4"
+ ],
+ "𢈕": [
+ "ㄅㄞ4"
+ ],
+ "𢈙": [
+ "ㄒㄧㄚ2"
+ ],
+ "𢈚": [
+ "ㄌㄩ3"
+ ],
+ "𢈛": [
+ "ㄎㄨㄣ4"
+ ],
+ "𢈜": [
+ "ㄗㄤ1"
+ ],
+ "𢈝": [
+ "ㄑㄧㄡ2"
+ ],
+ "𢈠": [
+ "ㄘㄨ4",
+ "ㄌㄚ4"
+ ],
+ "𢈡": [
+ "ㄗㄨㄟ1"
+ ],
+ "𢈢": [
+ "ㄌㄡ3"
+ ],
+ "𢈤": [
+ "ㄒㄧㄚ2"
+ ],
+ "𢈯": [
+ "ㄕㄣ1"
+ ],
+ "𢈲": [
+ "ㄆㄨ2"
+ ],
+ "𢈴": [
+ "ㄐㄧㄥ1"
+ ],
+ "𢈵": [
+ "ㄑㄧㄤ1"
+ ],
+ "𢈶": [
+ "ㄧ4",
+ "ㄙ1"
+ ],
+ "𢈸": [
+ "ㄋㄧㄝ4"
+ ],
+ "𢈹": [
+ "ㄉㄨㄟ1",
+ "ㄊㄨㄟ2"
+ ],
+ "𢈻": [
+ "ㄐㄧㄝ2"
+ ],
+ "𢈼": [
+ "ㄙㄨㄟ4"
+ ],
+ "𢈽": [
+ "ㄓㄢ4"
+ ],
+ "𢈾": [
+ "ㄘㄡ1"
+ ],
+ "𢉁": [
+ "ㄅㄥ1"
+ ],
+ "𢉂": [
+ "ㄍㄨㄢ1"
+ ],
+ "𢉃": [
+ "ㄕㄜ3"
+ ],
+ "𢉅": [
+ "ㄐㄧㄣ4"
+ ],
+ "𢉆": [
+ "ㄉㄧ4"
+ ],
+ "𢉑": [
+ "ㄉㄢ1"
+ ],
+ "𢉓": [
+ "ㄋㄞ3"
+ ],
+ "𢉕": [
+ "ㄋㄡ2"
+ ],
+ "𢉗": [
+ "ㄐㄧ2"
+ ],
+ "𢉘": [
+ "ㄧㄢ2"
+ ],
+ "𢉚": [
+ "ㄋㄡ4"
+ ],
+ "𢉜": [
+ "ㄉㄨ4",
+ "ㄊㄨ2"
+ ],
+ "𢉝": [
+ "ㄨㄟ4"
+ ],
+ "𢉞": [
+ "ㄆㄧㄢ1"
+ ],
+ "𢉢": [
+ "ㄏㄨ2"
+ ],
+ "𢉤": [
+ "ㄐㄧㄚ4"
+ ],
+ "𢉥": [
+ "ㄧㄝ4"
+ ],
+ "𢉦": [
+ "ㄐㄩㄣ3"
+ ],
+ "𢉧": [
+ "ㄌㄢ2",
+ "ㄌㄧㄢ2"
+ ],
+ "𢉨": [
+ "ㄌㄚ4"
+ ],
+ "𢉩": [
+ "ㄧㄣ1"
+ ],
+ "𢉭": [
+ "ㄊㄨㄟ2"
+ ],
+ "𢉵": [
+ "ㄋㄠ3"
+ ],
+ "𢉺": [
+ "ㄗㄨ3"
+ ],
+ "𢉿": [
+ "ㄇㄚ4"
+ ],
+ "𢊀": [
+ "ㄙ1",
+ "ㄇㄚ4"
+ ],
+ "𢊁": [
+ "ㄓ4"
+ ],
+ "𢊄": [
+ "ㄏㄨㄟ1"
+ ],
+ "𢊅": [
+ "ㄓㄨㄟ4"
+ ],
+ "𢊇": [
+ "ㄏㄨㄟ4"
+ ],
+ "𢊍": [
+ "ㄔㄨ2"
+ ],
+ "𢊏": [
+ "ㄔㄜ4"
+ ],
+ "𢊒": [
+ "ㄒㄧㄡ1"
+ ],
+ "𢊓": [
+ "ㄌㄢ2"
+ ],
+ "𢊕": [
+ "ㄘㄨㄥ1"
+ ],
+ "𢊖": [
+ "ㄕㄣ4"
+ ],
+ "𢊗": [
+ "ㄇㄛ4"
+ ],
+ "𢊘": [
+ "ㄧ1"
+ ],
+ "𢊙": [
+ "ㄧㄠ2"
+ ],
+ "𢊚": [
+ "ㄒㄧ3"
+ ],
+ "𢊛": [
+ "ㄗㄨㄟ3"
+ ],
+ "𢊜": [
+ "ㄅㄧㄥ4"
+ ],
+ "𢊧": [
+ "ㄩ2"
+ ],
+ "𢊩": [
+ "ㄌㄨ4"
+ ],
+ "𢊮": [
+ "ㄊㄨㄟ2"
+ ],
+ "𢊯": [
+ "ㄨㄟ3"
+ ],
+ "𢊱": [
+ "ㄈㄣ2"
+ ],
+ "𢊲": [
+ "ㄕㄣ3"
+ ],
+ "𢊻": [
+ "ㄌㄧㄠ2"
+ ],
+ "𢋂": [
+ "ㄕㄨ3"
+ ],
+ "𢋃": [
+ "ㄉㄢ3"
+ ],
+ "𢋄": [
+ "ㄐㄩㄢ3"
+ ],
+ "𢋅": [
+ "ㄩ2"
+ ],
+ "𢋆": [
+ "ㄒㄧㄣ4"
+ ],
+ "𢋇": [
+ "ㄧㄠ2"
+ ],
+ "𢋈": [
+ "ㄙㄨ1"
+ ],
+ "𢋒": [
+ "ㄏㄨㄛ2"
+ ],
+ "𢋔": [
+ "ㄑㄧㄢ1"
+ ],
+ "𢋚": [
+ "ㄇㄚ2"
+ ],
+ "𢋝": [
+ "ㄎㄞ3"
+ ],
+ "𢋡": [
+ "ㄌㄨ3"
+ ],
+ "𢋣": [
+ "ㄧㄡ1"
+ ],
+ "𢋮": [
+ "ㄒㄧㄢ4"
+ ],
+ "𢋹": [
+ "ㄨ2"
+ ],
+ "𢋻": [
+ "ㄧㄣ3"
+ ],
+ "𢋼": [
+ "ㄒㄧ1"
+ ],
+ "𢋿": [
+ "ㄓㄞ1"
+ ],
+ "𢌀": [
+ "ㄒㄧㄝ4"
+ ],
+ "𢌄": [
+ "ㄑㄩ2"
+ ],
+ "𢌈": [
+ "ㄌㄧ2"
+ ],
+ "𢌍": [
+ "ㄑㄧㄢ1"
+ ],
+ "𢌔": [
+ "ㄌㄧㄥ2"
+ ],
+ "𢌕": [
+ "ㄌㄨㄢ2"
+ ],
+ "𢌚": [
+ "ㄔㄢ1"
+ ],
+ "𢌦": [
+ "ㄓㄥ4"
+ ],
+ "𢌨": [
+ "ㄧㄢ2"
+ ],
+ "𢌲": [
+ "ㄧㄣ4"
+ ],
+ "𢌳": [
+ "ㄎㄨㄟ2"
+ ],
+ "𢌷": [
+ "ㄑㄩ1"
+ ],
+ "𢌹": [
+ "ㄈㄨ2"
+ ],
+ "𢌻": [
+ "ㄩ4"
+ ],
+ "𢍁": [
+ "ㄑㄧ2",
+ "ㄅㄧ4"
+ ],
+ "𢍆": [
+ "ㄑㄧ4",
+ "ㄑㄧㄝ4"
+ ],
+ "𢍇": [
+ "ㄐㄧ4"
+ ],
+ "𢍈": [
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+ "ㄗㄤ4"
+ ],
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+ "ㄍㄠ4"
+ ],
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+ "ㄐㄩㄢ4"
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+ "ㄑㄧ2"
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+ "ㄍㄞ3"
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+ "ㄨㄟ4"
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+ "ㄓ4"
+ ],
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+ "ㄐㄧㄢ3"
+ ],
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+ "ㄙ4"
+ ],
+ "𢍰": [
+ "ㄧ4",
+ "ㄗㄜ2"
+ ],
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+ "ㄑㄧㄢ1"
+ ],
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+ "ㄌㄧ4"
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+ "ㄗㄤ1"
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+ ],
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+ "ㄧ4"
+ ],
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+ "ㄍㄜ1"
+ ],
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+ "ㄉㄧㄝ2"
+ ],
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+ "ㄓ1"
+ ],
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+ "ㄧ4"
+ ],
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+ "ㄗㄞ1"
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+ "ㄉㄞ4"
+ ],
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+ "ㄙㄨ4"
+ ],
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+ "ㄐㄧㄝ2"
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+ "ㄔㄣ4"
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+ "ㄑㄩ2"
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+ "ㄏㄢ4"
+ ],
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+ "ㄒㄧㄢ2"
+ ],
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+ "ㄑㄩㄢ2",
+ "ㄐㄩㄢ4"
+ ],
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+ "ㄐㄧㄝ2"
+ ],
+ "𢎥": [
+ "ㄐㄩㄢ4"
+ ],
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+ "ㄉㄢ4"
+ ],
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+ "ㄐㄧㄣ1"
+ ],
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+ "ㄅㄧㄥ1"
+ ],
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+ "ㄏㄨ2"
+ ],
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+ "ㄐㄩㄝ2"
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+ "ㄩ2"
+ ],
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+ "ㄌㄧ3"
+ ],
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+ "ㄑㄧㄤ2"
+ ],
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+ "ㄕㄨㄟ3"
+ ],
+ "𢏆": [
+ "ㄎㄨ1"
+ ],
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+ "ㄓㄣ3"
+ ],
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+ "ㄈㄨ2"
+ ],
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+ "ㄕㄣ1"
+ ],
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+ "ㄔㄨㄟ2"
+ ],
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+ "ㄊㄨㄥ2"
+ ],
+ "𢏗": [
+ "ㄧ4"
+ ],
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+ "ㄧㄤ2"
+ ],
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+ "ㄊㄨㄛ2"
+ ],
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+ "ㄓㄡ1"
+ ],
+ "𢏞": [
+ "ㄐㄧ2"
+ ],
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+ "ㄒㄩㄣ4"
+ ],
+ "𢏦": [
+ "ㄕㄣ3"
+ ],
+ "𢏧": [
+ "ㄒㄩㄢ1"
+ ],
+ "𢏭": [
+ "ㄌㄧㄡ2"
+ ],
+ "𢏮": [
+ "ㄩㄢ1"
+ ],
+ "𢏯": [
+ "ㄏㄨ2",
+ "ㄕ3"
+ ],
+ "𢏰": [
+ "ㄓㄥ4"
+ ],
+ "𢏳": [
+ "ㄆㄥ1",
+ "ㄅㄥ1"
+ ],
+ "𢏷": [
+ "ㄐㄩㄝ2"
+ ],
+ "𢐂": [
+ "ㄓ4"
+ ],
+ "𢐃": [
+ "ㄆㄧㄢ1"
+ ],
+ "𢐄": [
+ "ㄩㄢ4"
+ ],
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+ "ㄐㄧㄢ1"
+ ],
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+ "ㄆㄤ2"
+ ],
+ "𢐎": [
+ "ㄓㄨㄢ4"
+ ],
+ "𢐐": [
+ "ㄒㄧㄢ2"
+ ],
+ "𢐒": [
+ "ㄅㄥ1"
+ ],
+ "𢐔": [
+ "ㄘㄨㄥ1"
+ ],
+ "𢐖": [
+ "ㄇㄛ4"
+ ],
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+ "ㄍㄨㄛ2"
+ ],
+ "𢐞": [
+ "ㄔㄥ2"
+ ],
+ "𢐟": [
+ "ㄑㄧㄠ1"
+ ],
+ "𢐦": [
+ "ㄅㄧ4"
+ ],
+ "𢐩": [
+ "ㄑㄧㄤ3"
+ ],
+ "𢐫": [
+ "ㄓㄡ1"
+ ],
+ "𢐲": [
+ "ㄈㄢ2"
+ ],
+ "𢐳": [
+ "ㄅㄧㄝ1"
+ ],
+ "𢐾": [
+ "ㄅㄛ2"
+ ],
+ "𢐿": [
+ "ㄖㄤ3",
+ "ㄖㄨㄥ3"
+ ],
+ "𢑅": [
+ "ㄉㄧㄥ3"
+ ],
+ "𢑆": [
+ "ㄑㄩㄢ2"
+ ],
+ "𢑇": [
+ "ㄐㄧㄡ4"
+ ],
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+ "ㄧㄠ2"
+ ],
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+ "ㄒㄧㄚ2"
+ ],
+ "𢑖": [
+ "ㄗㄠ3"
+ ],
+ "𢑝": [
+ "ㄉㄢ1"
+ ],
+ "𢑟": [
+ "ㄨ3"
+ ],
+ "𢑠": [
+ "ㄊㄨㄛ2"
+ ],
+ "𢑢": [
+ "ㄏㄨ1"
+ ],
+ "𢑧": [
+ "ㄒㄧ1"
+ ],
+ "𢑬": [
+ "ㄌㄞ2"
+ ],
+ "𢑮": [
+ "ㄈㄟ1"
+ ],
+ "𢑹": [
+ "ㄏㄨ2"
+ ],
+ "𢒆": [
+ "ㄒㄧㄢ1"
+ ],
+ "𢒉": [
+ "ㄕㄢ3"
+ ],
+ "𢒍": [
+ "ㄈㄟ4"
+ ],
+ "𢒐": [
+ "ㄘㄨㄛ4"
+ ],
+ "𢒒": [
+ "ㄈㄨ2"
+ ],
+ "𢒔": [
+ "ㄔㄨ4"
+ ],
+ "𢒝": [
+ "ㄉㄧㄡ1"
+ ],
+ "𢒞": [
+ "ㄌㄢ4"
+ ],
+ "𢒩": [
+ "ㄒㄧ3"
+ ],
+ "𢒯": [
+ "ㄅㄧㄠ1"
+ ],
+ "𢒰": [
+ "ㄩ4"
+ ],
+ "𢒱": [
+ "ㄙㄨㄟ4"
+ ],
+ "𢒲": [
+ "ㄒㄧ3"
+ ],
+ "𢒷": [
+ "ㄆㄡ2"
+ ],
+ "𢒹": [
+ "ㄕㄢ3"
+ ],
+ "𢒾": [
+ "ㄐㄧㄠ4"
+ ],
+ "𢓀": [
+ "ㄧ4"
+ ],
+ "𢓃": [
+ "ㄨㄢ2"
+ ],
+ "𢓄": [
+ "ㄐㄧ3"
+ ],
+ "𢓆": [
+ "ㄨㄢ2"
+ ],
+ "𢓇": [
+ "ㄊㄨㄟ4",
+ "ㄋㄚ4"
+ ],
+ "𢓋": [
+ "ㄤ4"
+ ],
+ "𢓍": [
+ "ㄊㄧㄢ1"
+ ],
+ "𢓎": [
+ "ㄔ2"
+ ],
+ "𢓒": [
+ "ㄖㄢ2"
+ ],
+ "𢓔": [
+ "ㄙㄚ4"
+ ],
+ "𢓕": [
+ "ㄧㄣ2"
+ ],
+ "𢓖": [
+ "ㄆㄧ1"
+ ],
+ "𢓗": [
+ "ㄘ3"
+ ],
+ "𢓘": [
+ "ㄊㄨㄥ2",
+ "ㄊㄠ1"
+ ],
+ "𢓙": [
+ "ㄧㄣ3"
+ ],
+ "𢓜": [
+ "ㄍㄜ2"
+ ],
+ "𢓝": [
+ "ㄊㄧㄠ1"
+ ],
+ "𢓞": [
+ "ㄓㄥ1"
+ ],
+ "𢓟": [
+ "ㄓㄡ4"
+ ],
+ "𢓡": [
+ "ㄧ2",
+ "ㄊㄧ2"
+ ],
+ "𢓢": [
+ "ㄎㄨㄚ4"
+ ],
+ "𢓣": [
+ "ㄙㄨㄥ1"
+ ],
+ "𢓧": [
+ "ㄉㄧ4"
+ ],
+ "𢓬": [
+ "ㄒㄧㄝ2"
+ ],
+ "𢓮": [
+ "ㄒㄧㄠ1"
+ ],
+ "𢓯": [
+ "ㄍㄨㄤ4",
+ "ㄨㄤ3"
+ ],
+ "𢓰": [
+ "ㄊㄨㄛ3"
+ ],
+ "𢓱": [
+ "ㄈㄥ1",
+ "ㄈㄥ4"
+ ],
+ "𢓲": [
+ "ㄨ2",
+ "ㄏㄨ2"
+ ],
+ "𢓵": [
+ "ㄒㄧㄡ4"
+ ],
+ "𢓿": [
+ "ㄧㄡ2"
+ ],
+ "𢔁": [
+ "ㄌㄧㄥ2"
+ ],
+ "𢔂": [
+ "ㄧㄢ4"
+ ],
+ "𢔅": [
+ "ㄉㄨㄥ1"
+ ],
+ "𢔆": [
+ "ㄑㄧ4"
+ ],
+ "𢔇": [
+ "ㄊㄠ2"
+ ],
+ "𢔈": [
+ "ㄏㄢ2"
+ ],
+ "𢔊": [
+ "ㄔ2"
+ ],
+ "𢔋": [
+ "ㄙㄨㄥ1"
+ ],
+ "𢔑": [
+ "ㄑㄩㄢ3"
+ ],
+ "𢔔": [
+ "ㄏㄢ4",
+ "ㄐㄧ2"
+ ],
+ "𢔟": [
+ "ㄖㄡ3",
+ "ㄋㄧㄡ3"
+ ],
+ "𢔠": [
+ "ㄑㄧ4"
+ ],
+ "𢔡": [
+ "ㄎㄞ1"
+ ],
+ "𢔢": [
+ "ㄩ2"
+ ],
+ "𢔣": [
+ "ㄔㄚ1",
+ "ㄕㄚ4"
+ ],
+ "𢔤": [
+ "ㄔㄥ4"
+ ],
+ "𢔥": [
+ "ㄩ4"
+ ],
+ "𢔧": [
+ "ㄅㄧㄥ4"
+ ],
+ "𢔩": [
+ "ㄘㄨㄥ1",
+ "ㄙㄨㄥ3"
+ ],
+ "𢔪": [
+ "ㄓㄨ1"
+ ],
+ "𢔬": [
+ "ㄩ4"
+ ],
+ "𢔱": [
+ "ㄐㄩㄝ2",
+ "ㄑㄩㄝ4"
+ ],
+ "𢔲": [
+ "ㄌㄧㄡ4"
+ ],
+ "𢔳": [
+ "ㄙㄠ1"
+ ],
+ "𢔴": [
+ "ㄩ4"
+ ],
+ "𢕅": [
+ "ㄕㄨㄞ4"
+ ],
+ "𢕋": [
+ "ㄩㄢ4"
+ ],
+ "𢕎": [
+ "ㄓㄤ1"
+ ],
+ "𢕑": [
+ "ㄕㄨㄞ4"
+ ],
+ "𢕓": [
+ "ㄔㄨ3"
+ ],
+ "𢕔": [
+ "ㄓㄤ1",
+ "ㄓㄤ4"
+ ],
+ "𢕕": [
+ "ㄙㄢ3",
+ "ㄙㄢ4"
+ ],
+ "𢕖": [
+ "ㄒㄧㄢ1"
+ ],
+ "𢕘": [
+ "ㄘㄨㄟ1"
+ ],
+ "𢕙": [
+ "ㄇㄥ3"
+ ],
+ "𢕚": [
+ "ㄉㄧ2"
+ ],
+ "𢕞": [
+ "ㄓ4"
+ ],
+ "𢕟": [
+ "ㄠ4"
+ ],
+ "𢕦": [
+ "ㄒㄧㄡ1"
+ ],
+ "𢕨": [
+ "ㄆㄧㄢ2"
+ ],
+ "𢕪": [
+ "ㄐㄧㄠ4"
+ ],
+ "𢕫": [
+ "ㄎㄨㄢ3"
+ ],
+ "𢕬": [
+ "ㄙㄚ4"
+ ],
+ "𢕭": [
+ "ㄒㄧㄢ4"
+ ],
+ "𢕮": [
+ "ㄓㄚ4"
+ ],
+ "𢕯": [
+ "ㄉㄧㄢ4"
+ ],
+ "𢕷": [
+ "ㄧ2"
+ ],
+ "𢕺": [
+ "ㄏㄨㄟ4"
+ ],
+ "𢕻": [
+ "ㄕㄢ4"
+ ],
+ "𢖄": [
+ "ㄔㄨㄥ2"
+ ],
+ "𢖅": [
+ "ㄧ2"
+ ],
+ "𢖆": [
+ "ㄒㄧㄝ4"
+ ],
+ "𢖇": [
+ "ㄓ4"
+ ],
+ "𢖈": [
+ "ㄊㄧㄠ4"
+ ],
+ "𢖊": [
+ "ㄆㄧㄥ1"
+ ],
+ "𢖋": [
+ "ㄒㄧㄢ2"
+ ],
+ "𢖎": [
+ "ㄒㄧㄢ1"
+ ],
+ "𢖏": [
+ "ㄙㄨ4"
+ ],
+ "𢖑": [
+ "ㄘㄨㄢ2"
+ ],
+ "𢖗": [
+ "ㄙㄨㄥ3"
+ ],
+ "𢖛": [
+ "ㄏㄟ1"
+ ],
+ "𢖝": [
+ "ㄒㄧㄢ4"
+ ],
+ "𢖟": [
+ "ㄧㄡ2"
+ ],
+ "𢖡": [
+ "ㄩ4"
+ ],
+ "𢖤": [
+ "ㄊㄞ2"
+ ],
+ "𢖦": [
+ "ㄐㄩㄝ2"
+ ],
+ "𢖧": [
+ "ㄋㄤ4"
+ ],
+ "𢖩": [
+ "ㄉㄧㄢ1"
+ ],
+ "𢖫": [
+ "ㄧ4"
+ ],
+ "𢖬": [
+ "ㄅㄧ4"
+ ],
+ "𢖳": [
+ "ㄒㄩ1"
+ ],
+ "𢖴": [
+ "ㄧ4"
+ ],
+ "𢖵": [
+ "ㄖㄨ4"
+ ],
+ "𢖷": [
+ "ㄍㄨㄥ1"
+ ],
+ "𢖺": [
+ "ㄧ4"
+ ],
+ "𢖿": [
+ "ㄓ4"
+ ],
+ "𢗀": [
+ "ㄒㄧㄣ1"
+ ],
+ "𢗂": [
+ "ㄐㄧ4"
+ ],
+ "𢗄": [
+ "ㄒㄧㄚ4"
+ ],
+ "𢗈": [
+ "ㄓㄠ1"
+ ],
+ "𢗉": [
+ "ㄋㄜ4"
+ ],
+ "𢗊": [
+ "ㄒㄧㄝ4",
+ "ㄐㄧㄚ2"
+ ],
+ "𢗎": [
+ "ㄧ4"
+ ],
+ "𢗫": [
+ "ㄈㄨ3"
+ ],
+ "𢗭": [
+ "ㄕㄜ4"
+ ],
+ "𢗯": [
+ "ㄩㄢ2"
+ ],
+ "𢗰": [
+ "ㄈㄢ3"
+ ],
+ "𢗲": [
+ "ㄈㄨ1"
+ ],
+ "𢗳": [
+ "ㄨ4"
+ ],
+ "𢗴": [
+ "ㄒㄧ1"
+ ],
+ "𢗵": [
+ "ㄏㄨㄥ3"
+ ],
+ "𢗹": [
+ "ㄐㄧ4"
+ ],
+ "𢗺": [
+ "ㄔㄤ4"
+ ],
+ "𢗿": [
+ "ㄇㄛ4"
+ ],
+ "𢘀": [
+ "ㄆㄟ4"
+ ],
+ "𢘃": [
+ "ㄇㄨ2",
+ "ㄨ3"
+ ],
+ "𢘄": [
+ "ㄑㄧㄡ2"
+ ],
+ "𢘅": [
+ "ㄇㄠ4",
+ "ㄖㄡ2"
+ ],
+ "𢘇": [
+ "ㄉㄚ2",
+ "ㄉㄢ4"
+ ],
+ "𢘉": [
+ "ㄒㄧㄚ2"
+ ],
+ "𢘊": [
+ "ㄕㄣ1"
+ ],
+ "𢘋": [
+ "ㄊㄜ4"
+ ],
+ "𢘌": [
+ "ㄏㄨㄥ2"
+ ],
+ "𢘍": [
+ "ㄅㄧ4",
+ "ㄈㄨ2"
+ ],
+ "𢘝": [
+ "ㄋㄧ3"
+ ],
+ "𢘟": [
+ "ㄑㄧㄠ2"
+ ],
+ "𢘧": [
+ "ㄖㄨㄢ3"
+ ],
+ "𢘸": [
+ "ㄐㄧㄤ4"
+ ],
+ "𢘹": [
+ "ㄔㄚ1"
+ ],
+ "𢘺": [
+ "ㄇㄧ3",
+ "ㄇㄧ2"
+ ],
+ "𢘽": [
+ "ㄧ4"
+ ],
+ "𢘿": [
+ "ㄙㄨㄛ1"
+ ],
+ "𢙁": [
+ "ㄨ4"
+ ],
+ "𢙂": [
+ "ㄒㄩㄢ1"
+ ],
+ "𢙅": [
+ "ㄒㄧ2"
+ ],
+ "𢙇": [
+ "ㄧ3"
+ ],
+ "𢙐": [
+ "ㄋㄠ2"
+ ],
+ "𢙓": [
+ "ㄨㄟ4"
+ ],
+ "𢙮": [
+ "ㄎㄢ4"
+ ],
+ "𢙱": [
+ "ㄌㄨㄥ4"
+ ],
+ "𢙲": [
+ "ㄌㄩ3"
+ ],
+ "𢙳": [
+ "ㄓㄨㄤ3"
+ ],
+ "𢙺": [
+ "ㄓ4"
+ ],
+ "𢙼": [
+ "ㄒㄧㄥ4"
+ ],
+ "𢙾": [
+ "ㄍㄥ3"
+ ],
+ "𢙿": [
+ "ㄐㄧㄣ4"
+ ],
+ "𢚀": [
+ "ㄒㄧㄢ4"
+ ],
+ "𢚁": [
+ "ㄐㄧ4"
+ ],
+ "𢚂": [
+ "ㄘㄨㄛ4"
+ ],
+ "𢚄": [
+ "ㄌㄠ2"
+ ],
+ "𢚅": [
+ "ㄈㄣ3"
+ ],
+ "𢚆": [
+ "ㄐㄩ4"
+ ],
+ "𢚋": [
+ "ㄇㄧㄠ4"
+ ],
+ "𢚌": [
+ "ㄒㄧㄚ2"
+ ],
+ "𢚑": [
+ "ㄙㄨ4"
+ ],
+ "𢚨": [
+ "ㄓ4"
+ ],
+ "𢚪": [
+ "ㄏㄨ4"
+ ],
+ "𢚫": [
+ "ㄎㄡ4"
+ ],
+ "𢚭": [
+ "ㄙㄨㄛ3"
+ ],
+ "𢚮": [
+ "ㄋㄧ4"
+ ],
+ "𢚺": [
+ "ㄊㄥ1"
+ ],
+ "𢚻": [
+ "ㄓㄨ4"
+ ],
+ "𢛁": [
+ "ㄉㄚ2",
+ "ㄔㄜ4"
+ ],
+ "𢛃": [
+ "ㄑㄧㄡ2"
+ ],
+ "𢛄": [
+ "ㄧㄚ4"
+ ],
+ "𢛆": [
+ "ㄒㄧㄢ2"
+ ],
+ "𢛉": [
+ "ㄋㄟ4"
+ ],
+ "𢛍": [
+ "ㄓ3"
+ ],
+ "𢛎": [
+ "ㄅㄧㄝ2"
+ ],
+ "𢛒": [
+ "ㄔㄨㄥ3"
+ ],
+ "𢛓": [
+ "ㄌㄢ2"
+ ],
+ "𢛔": [
+ "ㄉㄨㄥ1"
+ ],
+ "𢛕": [
+ "ㄑㄩㄣ1"
+ ],
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+ ],
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+ "ㄒㄧㄠ2"
+ ],
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+ "ㄨㄢ3"
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+ "ㄖㄨ4"
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+ "ㄨㄤ4"
+ ],
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+ "ㄋㄧ4"
+ ],
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+ "ㄅㄞ1"
+ ],
+ "𢛟": [
+ "ㄧㄚ4"
+ ],
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+ "ㄙ1"
+ ],
+ "𢛦": [
+ "ㄧㄣ3"
+ ],
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+ "ㄩ4"
+ ],
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+ "ㄌㄧ2"
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+ "ㄏㄨㄛ4"
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+ "ㄅㄤ4"
+ ],
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+ "ㄒㄧ1"
+ ],
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+ "ㄐㄧㄡ1"
+ ],
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+ "ㄒㄧㄝ4",
+ "ㄉㄧㄝ2"
+ ],
+ "𢜩": [
+ "ㄑㄧㄢ1"
+ ],
+ "𢜪": [
+ "ㄋㄨㄛ4",
+ "ㄖㄨㄛ4"
+ ],
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+ "ㄒㄧㄥ3"
+ ],
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+ "ㄉㄨㄛ2"
+ ],
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+ "ㄐㄧ3"
+ ],
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+ "ㄨ3"
+ ],
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+ "ㄇㄨ2",
+ "ㄇㄡ2",
+ "ㄇㄨ3"
+ ],
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+ "ㄧㄢ4",
+ "ㄧㄢ3"
+ ],
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+ "ㄑㄧ4"
+ ],
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+ "ㄋㄚ2"
+ ],
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+ "ㄔ4"
+ ],
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+ "ㄏㄡ2"
+ ],
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+ "ㄙㄠ4"
+ ],
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+ "ㄋㄠ2"
+ ],
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+ "ㄔㄥ3"
+ ],
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+ "ㄔㄥ3"
+ ],
+ "𢜽": [
+ "ㄎㄨㄟ2",
+ "ㄎㄨㄟ3"
+ ],
+ "𢜿": [
+ "ㄐㄧㄚ4"
+ ],
+ "𢝀": [
+ "ㄊㄨ2"
+ ],
+ "𢝁": [
+ "ㄏㄨㄥ1"
+ ],
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+ "ㄉㄨ2"
+ ],
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+ "ㄒㄧㄚ2"
+ ],
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+ "ㄓㄨㄥ4"
+ ],
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+ "ㄏㄨㄛ4"
+ ],
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+ "ㄔㄨㄥ2"
+ ],
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+ "ㄉㄚ2"
+ ],
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+ "ㄇㄠ4"
+ ],
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+ "ㄧㄠ4"
+ ],
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+ "ㄐㄩㄢ1"
+ ],
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+ "ㄕ4"
+ ],
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+ "ㄧㄣ2"
+ ],
+ "𢝳": [
+ "ㄍㄨ3"
+ ],
+ "𢝴": [
+ "ㄨ4"
+ ],
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+ "ㄍㄨㄛ4"
+ ],
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+ "ㄊㄧ4"
+ ],
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+ "ㄏㄨㄥ1"
+ ],
+ "𢞇": [
+ "ㄖㄜ3"
+ ],
+ "𢞉": [
+ "ㄧ2"
+ ],
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+ "ㄊㄨㄣ3"
+ ],
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+ "ㄑㄩㄥ2"
+ ],
+ "𢞐": [
+ "ㄏㄞ4"
+ ],
+ "𢞒": [
+ "ㄑㄧ4"
+ ],
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+ "ㄏㄨㄛ4"
+ ],
+ "𢞖": [
+ "ㄊㄧ4"
+ ],
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+ "ㄆㄧ1",
+ "ㄅㄧ1"
+ ],
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+ "ㄍㄥ3"
+ ],
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+ "ㄒㄧㄝ4"
+ ],
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+ "ㄇㄧ4",
+ "ㄇㄧ2"
+ ],
+ "𢞟": [
+ "ㄍㄠ4"
+ ],
+ "𢞠": [
+ "ㄊㄚ1"
+ ],
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+ "ㄒㄧㄤ3"
+ ],
+ "𢞣": [
+ "ㄕㄨ1"
+ ],
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+ "ㄈㄨ2"
+ ],
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+ "ㄓㄨㄢ1"
+ ],
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+ "ㄌㄧㄡ4"
+ ],
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+ "ㄧㄡ2"
+ ],
+ "𢟊": [
+ "ㄔㄥ3"
+ ],
+ "𢟋": [
+ "ㄉㄨㄟ1"
+ ],
+ "𢟢": [
+ "ㄌㄧ2"
+ ],
+ "𢟣": [
+ "ㄧㄤ4"
+ ],
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+ "ㄌㄧ2"
+ ],
+ "𢟧": [
+ "ㄌㄨ3"
+ ],
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+ "ㄇㄨ3"
+ ],
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+ "ㄙㄨㄟ4"
+ ],
+ "𢟪": [
+ "ㄞ4",
+ "ㄒㄧ4"
+ ],
+ "𢟭": [
+ "ㄎㄡ4"
+ ],
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+ "ㄓㄜ2",
+ "ㄕ4"
+ ],
+ "𢟰": [
+ "ㄞ4"
+ ],
+ "𢟱": [
+ "ㄊㄥ2"
+ ],
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+ "ㄌㄩ4"
+ ],
+ "𢟴": [
+ "ㄊㄨㄟ2"
+ ],
+ "𢟵": [
+ "ㄅㄧ1"
+ ],
+ "𢟾": [
+ "ㄏㄨㄟ4"
+ ],
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+ "ㄏㄨㄢ2"
+ ],
+ "𢠛": [
+ "ㄎㄨㄛ4"
+ ],
+ "𢠝": [
+ "ㄒㄧㄣ1"
+ ],
+ "𢠡": [
+ "ㄙㄠ4"
+ ],
+ "𢠫": [
+ "ㄕㄨ4"
+ ],
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+ "ㄑㄩㄝ4"
+ ],
+ "𢠭": [
+ "ㄅㄚ1"
+ ],
+ "𢠮": [
+ "ㄊㄨㄟ4"
+ ],
+ "𢠲": [
+ "ㄈㄨ4"
+ ],
+ "𢠳": [
+ "ㄅㄧㄝ1"
+ ],
+ "𢠵": [
+ "ㄊㄤ3"
+ ],
+ "𢠷": [
+ "ㄒㄧㄤ4"
+ ],
+ "𢠹": [
+ "ㄙ1",
+ "ㄒㄧ1"
+ ],
+ "𢠺": [
+ "ㄅㄛ2"
+ ],
+ "𢠼": [
+ "ㄇㄞ2"
+ ],
+ "𢠽": [
+ "ㄉㄤ4"
+ ],
+ "𢠿": [
+ "ㄍㄨㄟ4"
+ ],
+ "𢡀": [
+ "ㄏㄟ1"
+ ],
+ "𢡁": [
+ "ㄒㄧ1"
+ ],
+ "𢡂": [
+ "ㄉㄤ4"
+ ],
+ "𢡃": [
+ "ㄧ4"
+ ],
+ "𢡅": [
+ "ㄅㄧ1"
+ ],
+ "𢡇": [
+ "ㄍㄨ1"
+ ],
+ "𢡈": [
+ "ㄘㄨㄟ4"
+ ],
+ "𢡉": [
+ "ㄙㄜ4"
+ ],
+ "𢡍": [
+ "ㄍㄜ2"
+ ],
+ "𢡎": [
+ "ㄩ4"
+ ],
+ "𢡏": [
+ "ㄋㄚ3"
+ ],
+ "𢡑": [
+ "ㄌㄧ4"
+ ],
+ "𢡒": [
+ "ㄓ4"
+ ],
+ "𢡰": [
+ "ㄓㄠ4"
+ ],
+ "𢡴": [
+ "ㄐㄧ1"
+ ],
+ "𢡵": [
+ "ㄖㄨㄢ3"
+ ],
+ "𢡹": [
+ "ㄔㄨㄥ4"
+ ],
+ "𢢂": [
+ "ㄐㄧㄝ2"
+ ],
+ "𢢌": [
+ "ㄔㄤ4"
+ ],
+ "𢢍": [
+ "ㄓㄜ2"
+ ],
+ "𢢒": [
+ "ㄙㄨ1",
+ "ㄙㄨ4"
+ ],
+ "𢢓": [
+ "ㄩㄥ1"
+ ],
+ "𢢖": [
+ "ㄑㄧ4"
+ ],
+ "𢢗": [
+ "ㄓㄨㄛ2"
+ ],
+ "𢢚": [
+ "ㄎㄞ4"
+ ],
+ "𢢜": [
+ "ㄧㄝ4"
+ ],
+ "𢢞": [
+ "ㄑㄧ4",
+ "ㄐㄧ4",
+ "ㄎㄨㄞ4"
+ ],
+ "𢢹": [
+ "ㄒㄩㄥ4"
+ ],
+ "𢣉": [
+ "ㄧ1"
+ ],
+ "𢣊": [
+ "ㄔㄡ3"
+ ],
+ "𢣎": [
+ "ㄊㄨㄢ3"
+ ],
+ "𢣏": [
+ "ㄞ4"
+ ],
+ "𢣐": [
+ "ㄆㄧㄣ1"
+ ],
+ "𢣓": [
+ "ㄌㄧㄝ4"
+ ],
+ "𢣔": [
+ "ㄇㄧㄢ2"
+ ],
+ "𢣕": [
+ "ㄞ4",
+ "ㄔ1"
+ ],
+ "𢣗": [
+ "ㄇㄛ3"
+ ],
+ "𢣘": [
+ "ㄨㄟ4"
+ ],
+ "𢣙": [
+ "ㄧㄥ4"
+ ],
+ "𢣚": [
+ "ㄋㄧ3"
+ ],
+ "𢣞": [
+ "ㄅㄛ2"
+ ],
+ "𢣠": [
+ "ㄌㄧㄡ4"
+ ],
+ "𢣳": [
+ "ㄖㄨㄟ4"
+ ],
+ "𢣵": [
+ "ㄔㄨ2"
+ ],
+ "𢣻": [
+ "ㄌㄩ2"
+ ],
+ "𢣼": [
+ "ㄔㄚ2"
+ ],
+ "𢣿": [
+ "ㄔㄨ4"
+ ],
+ "𢤁": [
+ "ㄙㄠ4"
+ ],
+ "𢤂": [
+ "ㄌㄧ2"
+ ],
+ "𢤄": [
+ "ㄙㄨㄥ1"
+ ],
+ "𢤆": [
+ "ㄌㄧ4",
+ "ㄌㄚ4"
+ ],
+ "𢤋": [
+ "ㄒㄧ4"
+ ],
+ "𢤍": [
+ "ㄧㄢ1"
+ ],
+ "𢤎": [
+ "ㄘㄨㄛ1",
+ "ㄗㄨㄛ3"
+ ],
+ "𢤐": [
+ "ㄌㄧㄡ2"
+ ],
+ "𢤘": [
+ "ㄇㄥ2"
+ ],
+ "𢤚": [
+ "ㄓㄢ4"
+ ],
+ "𢤤": [
+ "ㄓㄨㄤ4"
+ ],
+ "𢤧": [
+ "ㄇㄧㄠ3"
+ ],
+ "𢤩": [
+ "ㄌㄧ4"
+ ],
+ "𢤫": [
+ "ㄐㄩ3"
+ ],
+ "𢤯": [
+ "ㄒㄧㄝ4"
+ ],
+ "𢤰": [
+ "ㄒㄧㄝ4"
+ ],
+ "𢤱": [
+ "ㄌㄨㄥ3"
+ ],
+ "𢤲": [
+ "ㄌㄨㄥ2"
+ ],
+ "𢥂": [
+ "ㄊㄥ2"
+ ],
+ "𢥃": [
+ "ㄓㄨ4"
+ ],
+ "𢥋": [
+ "ㄔㄢ2"
+ ],
+ "𢥌": [
+ "ㄒㄧㄢ3"
+ ],
+ "𢥏": [
+ "ㄧㄥ2"
+ ],
+ "𢥐": [
+ "ㄆㄟ4"
+ ],
+ "𢥘": [
+ "ㄒㄧㄝ2"
+ ],
+ "𢥚": [
+ "ㄐㄧㄠ4"
+ ],
+ "𢥞": [
+ "ㄔㄨㄥ1"
+ ],
+ "𢥳": [
+ "ㄏㄜ1"
+ ],
+ "𢥽": [
+ "ㄊㄨㄣ3"
+ ],
+ "𢦅": [
+ "ㄏㄨㄥ3",
+ "ㄓㄨㄤ4"
+ ],
+ "𢦈": [
+ "ㄇㄢ2"
+ ],
+ "𢦊": [
+ "ㄐㄧㄣ1"
+ ],
+ "𢦌": [
+ "ㄑㄩ2"
+ ],
+ "𢦍": [
+ "ㄉㄡ3"
+ ],
+ "𢦎": [
+ "ㄑㄧㄡ2"
+ ],
+ "𢦏": [
+ "ㄗㄞ1"
+ ],
+ "𢦑": [
+ "ㄕㄥ1"
+ ],
+ "𢦒": [
+ "ㄗㄞ1"
+ ],
+ "𢦕": [
+ "ㄧ3",
+ "ㄓ2"
+ ],
+ "𢦚": [
+ "ㄏㄨㄚ4"
+ ],
+ "𢦟": [
+ "ㄎㄢ1"
+ ],
+ "𢦰": [
+ "ㄩㄝ4"
+ ],
+ "𢦱": [
+ "ㄋㄧ4"
+ ],
+ "𢦲": [
+ "ㄙ1"
+ ],
+ "𢦴": [
+ "ㄨㄛ3"
+ ],
+ "𢦸": [
+ "ㄘㄢ2"
+ ],
+ "𢦺": [
+ "ㄐㄧㄢ1"
+ ],
+ "𢦼": [
+ "ㄇㄧㄝ4"
+ ],
+ "𢦽": [
+ "ㄕㄠ2",
+ "ㄑㄧ1"
+ ],
+ "𢦿": [
+ "ㄖㄨㄥ3"
+ ],
+ "𢧀": [
+ "ㄍㄢ1"
+ ],
+ "𢧅": [
+ "ㄑㄧㄤ2"
+ ],
+ "𢧇": [
+ "ㄕㄨ2"
+ ],
+ "𢧈": [
+ "ㄓㄨㄛ2"
+ ],
+ "𢧏": [
+ "ㄕ1"
+ ],
+ "𢧑": [
+ "ㄊㄧ4"
+ ],
+ "𢧖": [
+ "ㄓㄚ2"
+ ],
+ "𢧗": [
+ "ㄓㄢ1"
+ ],
+ "𢧝": [
+ "ㄈㄣ4"
+ ],
+ "𢧞": [
+ "ㄇㄧㄝ4"
+ ],
+ "𢧠": [
+ "ㄗㄜ4"
+ ],
+ "𢧤": [
+ "ㄓ4"
+ ],
+ "𢧥": [
+ "ㄑㄧㄢ1"
+ ],
+ "𢧦": [
+ "ㄏㄢ4"
+ ],
+ "𢧧": [
+ "ㄍㄜ2"
+ ],
+ "𢧮": [
+ "ㄘㄢ2"
+ ],
+ "𢧰": [
+ "ㄍㄨㄛ2"
+ ],
+ "𢧱": [
+ "ㄐㄧㄠ1"
+ ],
+ "𢧳": [
+ "ㄩㄥ1"
+ ],
+ "𢧴": [
+ "ㄠ2"
+ ],
+ "𢧻": [
+ "ㄓㄚ2"
+ ],
+ "𢧽": [
+ "ㄒㄧ4"
+ ],
+ "𢨁": [
+ "ㄒㄩ1"
+ ],
+ "𢨂": [
+ "ㄨ3"
+ ],
+ "𢨏": [
+ "ㄐㄩㄝ2"
+ ],
+ "𢨐": [
+ "ㄐㄧ2",
+ "ㄐㄧ1"
+ ],
+ "𢨒": [
+ "ㄔ4"
+ ],
+ "𢨔": [
+ "ㄨㄢ3"
+ ],
+ "𢨖": [
+ "ㄇㄧㄝ4"
+ ],
+ "𢨗": [
+ "ㄗㄟ2"
+ ],
+ "𢨜": [
+ "ㄐㄧㄝ2"
+ ],
+ "𢨝": [
+ "ㄕ2"
+ ],
+ "𢨟": [
+ "ㄒㄧ1",
+ "ㄒㄧ4"
+ ],
+ "𢨡": [
+ "ㄜ4"
+ ],
+ "𢨥": [
+ "ㄏㄨ4"
+ ],
+ "𢨦": [
+ "ㄏㄨ4"
+ ],
+ "𢨨": [
+ "ㄌㄧ4"
+ ],
+ "𢨫": [
+ "ㄔㄨ4"
+ ],
+ "𢨮": [
+ "ㄧ1"
+ ],
+ "𢨯": [
+ "ㄇㄠ3"
+ ],
+ "𢨰": [
+ "ㄒㄩ1"
+ ],
+ "𢨱": [
+ "ㄓㄨㄥ1"
+ ],
+ "𢨳": [
+ "ㄧ4"
+ ],
+ "𢨺": [
+ "ㄌㄧㄠ2"
+ ],
+ "𢨿": [
+ "ㄐㄧㄢ1"
+ ],
+ "𢩀": [
+ "ㄐㄧㄢ3"
+ ],
+ "𢩁": [
+ "ㄐㄩ2"
+ ],
+ "𢩄": [
+ "ㄓㄨ4"
+ ],
+ "𢩈": [
+ "ㄨ3"
+ ],
+ "𢩏": [
+ "ㄎㄜ4"
+ ],
+ "𢩐": [
+ "ㄎㄜ3"
+ ],
+ "𢩑": [
+ "ㄌㄧ4"
+ ],
+ "𢩒": [
+ "ㄅㄧ3"
+ ],
+ "𢩓": [
+ "ㄍㄜ2"
+ ],
+ "𢩕": [
+ "ㄒㄩ1"
+ ],
+ "𢩖": [
+ "ㄕㄚ1"
+ ],
+ "𢩗": [
+ "ㄌㄧㄥ2"
+ ],
+ "𢩘": [
+ "ㄎㄜ1"
+ ],
+ "𢩞": [
+ "ㄅㄛ2"
+ ],
+ "𢩟": [
+ "ㄅㄧㄢ1"
+ ],
+ "𢩠": [
+ "ㄕㄨㄢ1"
+ ],
+ "𢩡": [
+ "ㄑㄧ2"
+ ],
+ "𢩢": [
+ "ㄕㄢ4"
+ ],
+ "𢩦": [
+ "ㄐㄧ1"
+ ],
+ "𢩨": [
+ "ㄑㄧㄠ3",
+ "ㄒㄧㄡ3"
+ ],
+ "𢩮": [
+ "ㄧ4"
+ ],
+ "𢩯": [
+ "ㄐㄩㄝ2"
+ ],
+ "𢩰": [
+ "ㄓㄤ3"
+ ],
+ "𢩲": [
+ "ㄒㄧㄣ4"
+ ],
+ "𢩷": [
+ "ㄊㄨㄛ1"
+ ],
+ "𢩸": [
+ "ㄏㄞ4"
+ ],
+ "𢩹": [
+ "ㄒㄧㄚ4"
+ ],
+ "𢩻": [
+ "ㄊㄨㄛ2"
+ ],
+ "𢩼": [
+ "ㄧ2"
+ ],
+ "𢪃": [
+ "ㄘㄨ4"
+ ],
+ "𢪇": [
+ "ㄐㄧㄤ1"
+ ],
+ "𢪈": [
+ "ㄋㄢ2"
+ ],
+ "𢪋": [
+ "ㄆㄥ3",
+ "ㄈㄥ2",
+ "ㄅㄤ4"
+ ],
+ "𢪍": [
+ "ㄐㄧㄝ2",
+ "ㄐㄧㄚ1"
+ ],
+ "𢪎": [
+ "ㄒㄩㄝ1"
+ ],
+ "𢪏": [
+ "ㄏㄨ2",
+ "ㄍㄨ3"
+ ],
+ "𢪥": [
+ "ㄧㄡ3"
+ ],
+ "𢪦": [
+ "ㄋㄨ3"
+ ],
+ "𢪧": [
+ "ㄧㄝ4"
+ ],
+ "𢪪": [
+ "ㄧㄣ4"
+ ],
+ "𢪬": [
+ "ㄎㄨㄥ3"
+ ],
+ "𢪶": [
+ "ㄒㄧㄠ1"
+ ],
+ "𢪷": [
+ "ㄒㄧㄤ1"
+ ],
+ "𢪼": [
+ "ㄋㄠ2"
+ ],
+ "𢪾": [
+ "ㄓㄤ4"
+ ],
+ "𢫐": [
+ "ㄐㄧㄝ2"
+ ],
+ "𢫓": [
+ "ㄋㄨ3"
+ ],
+ "𢫔": [
+ "ㄕㄢ4",
+ "ㄑㄩㄢ2"
+ ],
+ "𢫢": [
+ "ㄐㄧㄚ2"
+ ],
+ "𢫧": [
+ "ㄓㄡ3"
+ ],
+ "𢫨": [
+ "ㄖㄨㄥ3",
+ "ㄖㄥ1"
+ ],
+ "𢫫": [
+ "ㄌㄨ4"
+ ],
+ "𢫬": [
+ "ㄙㄚ4",
+ "ㄘㄨㄛ1",
+ "ㄕㄚ1"
+ ],
+ "𢫭": [
+ "ㄋㄨ4"
+ ],
+ "𢫯": [
+ "ㄅㄛ2"
+ ],
+ "𢫰": [
+ "ㄓㄜ2"
+ ],
+ "𢫲": [
+ "ㄑㄧㄣ3"
+ ],
+ "𢫴": [
+ "ㄘ1"
+ ],
+ "𢫵": [
+ "ㄗㄨ2"
+ ],
+ "𢫷": [
+ "ㄨㄛ3"
+ ],
+ "𢫸": [
+ "ㄨ3",
+ "ㄨ1"
+ ],
+ "𢫻": [
+ "ㄋㄧㄝ2"
+ ],
+ "𢫿": [
+ "ㄒㄧㄢ1"
+ ],
+ "𢬀": [
+ "ㄏㄨㄥ2"
+ ],
+ "𢬫": [
+ "ㄊㄧㄥ4"
+ ],
+ "𢬬": [
+ "ㄐㄧㄣ3"
+ ],
+ "𢬱": [
+ "ㄐㄧㄝ2"
+ ],
+ "𢬲": [
+ "ㄏㄜ4"
+ ],
+ "𢬳": [
+ "ㄊㄨ1"
+ ],
+ "𢬴": [
+ "ㄓㄜ2",
+ "ㄋㄧㄝ4",
+ "ㄉㄧㄝ2"
+ ],
+ "𢬵": [
+ "ㄆㄧㄣ1",
+ "ㄆㄢ1",
+ "ㄅㄧㄢ4",
+ "ㄈㄢ1"
+ ],
+ "𢬶": [
+ "ㄐㄧㄣ4"
+ ],
+ "𢬷": [
+ "ㄋㄢ4"
+ ],
+ "𢬼": [
+ "ㄉㄨㄣ4"
+ ],
+ "𢬾": [
+ "ㄒㄧ1"
+ ],
+ "𢬿": [
+ "ㄒㄧㄝ4"
+ ],
+ "𢭁": [
+ "ㄒㄧ4"
+ ],
+ "𢭂": [
+ "ㄌㄠ2"
+ ],
+ "𢭃": [
+ "ㄉㄨㄢ3",
+ "ㄉㄡ4"
+ ],
+ "𢭄": [
+ "ㄐㄧ4"
+ ],
+ "𢭅": [
+ "ㄔㄚ1"
+ ],
+ "𢭆": [
+ "ㄔㄡ1"
+ ],
+ "𢭈": [
+ "ㄍㄤ1"
+ ],
+ "𢭎": [
+ "ㄒㄧㄤ2"
+ ],
+ "𢭏": [
+ "ㄉㄠ3"
+ ],
+ "𢭥": [
+ "ㄅㄧㄢ4"
+ ],
+ "𢭦": [
+ "ㄒㄧㄠ1"
+ ],
+ "𢭧": [
+ "ㄒㄧㄣ1"
+ ],
+ "𢮁": [
+ "ㄩ3"
+ ],
+ "𢮂": [
+ "ㄒㄧㄢ2"
+ ],
+ "𢮃": [
+ "ㄌㄧ2"
+ ],
+ "𢮄": [
+ "ㄑㄧㄢ3"
+ ],
+ "𢮇": [
+ "ㄇㄟ3"
+ ],
+ "𢮉": [
+ "ㄑㄧㄠ1"
+ ],
+ "𢮊": [
+ "ㄧㄚ4"
+ ],
+ "𢮌": [
+ "ㄑㄧㄚ1",
+ "ㄐㄧㄝ2"
+ ],
+ "𢮍": [
+ "ㄑㄩㄥ4"
+ ],
+ "𢮏": [
+ "ㄅㄤ4"
+ ],
+ "𢮐": [
+ "ㄓㄥ1"
+ ],
+ "𢮚": [
+ "ㄗㄜ4"
+ ],
+ "𢮛": [
+ "ㄕㄨㄢ4",
+ "ㄊㄨㄢ2"
+ ],
+ "𢮞": [
+ "ㄙㄠ4"
+ ],
+ "𢯅": [
+ "ㄌㄨ4",
+ "ㄐㄩㄝ2"
+ ],
+ "𢯉": [
+ "ㄒㄧㄝ2"
+ ],
+ "𢯋": [
+ "ㄈㄨ3"
+ ],
+ "𢯌": [
+ "ㄓㄞ4"
+ ],
+ "𢯩": [
+ "ㄗㄜ4"
+ ],
+ "𢯫": [
+ "ㄉㄨㄢ4",
+ "ㄨㄢ3"
+ ],
+ "𢯭": [
+ "ㄉㄥ4"
+ ],
+ "𢯮": [
+ "ㄩ4"
+ ],
+ "𢯰": [
+ "ㄌㄩ4"
+ ],
+ "𢯲": [
+ "ㄨㄢ4"
+ ],
+ "𢯳": [
+ "ㄒㄩㄝ2"
+ ],
+ "𢯴": [
+ "ㄐㄧㄠ3"
+ ],
+ "𢯵": [
+ "ㄩㄝ3"
+ ],
+ "𢯶": [
+ "ㄓ4"
+ ],
+ "𢯷": [
+ "ㄨㄟ3",
+ "ㄏㄨㄟ1"
+ ],
+ "𢯹": [
+ "ㄍㄜ2"
+ ],
+ "𢯺": [
+ "ㄐㄩ3"
+ ],
+ "𢯼": [
+ "ㄧㄢ3"
+ ],
+ "𢯽": [
+ "ㄘㄨㄛ4"
+ ],
+ "𢯾": [
+ "ㄇㄠ4"
+ ],
+ "𢰆": [
+ "ㄈㄨ2"
+ ],
+ "𢰇": [
+ "ㄞ1"
+ ],
+ "𢰊": [
+ "ㄒㄩㄢ1"
+ ],
+ "𢰌": [
+ "ㄍㄤ1"
+ ],
+ "𢰍": [
+ "ㄢ1"
+ ],
+ "𢰒": [
+ "ㄐㄧ2"
+ ],
+ "𢰘": [
+ "ㄆㄧ2"
+ ],
+ "𢰙": [
+ "ㄓ3"
+ ],
+ "𢰜": [
+ "ㄋㄨㄛ2"
+ ],
+ "𢰿": [
+ "ㄆㄢ4"
+ ],
+ "𢱁": [
+ "ㄧ2"
+ ],
+ "𢱄": [
+ "ㄐㄧㄝ2"
+ ],
+ "𢱆": [
+ "ㄗ1"
+ ],
+ "𢱈": [
+ "ㄐㄧㄚ4"
+ ],
+ "𢱉": [
+ "ㄨㄞ3"
+ ],
+ "𢱌": [
+ "ㄐㄧㄚ4"
+ ],
+ "𢱟": [
+ "ㄔㄢ3",
+ "ㄔ1"
+ ],
+ "𢱡": [
+ "ㄙㄨㄛ3"
+ ],
+ "𢱢": [
+ "ㄙㄨㄛ3",
+ "ㄙㄜ4"
+ ],
+ "𢱣": [
+ "ㄐㄧ2"
+ ],
+ "𢱤": [
+ "ㄙㄨㄥ3"
+ ],
+ "𢱦": [
+ "ㄊㄧ1"
+ ],
+ "𢱧": [
+ "ㄆㄧ1"
+ ],
+ "𢱨": [
+ "ㄆㄛ2"
+ ],
+ "𢱮": [
+ "ㄇㄧ4"
+ ],
+ "𢱴": [
+ "ㄧㄝ4"
+ ],
+ "𢱶": [
+ "ㄑㄧㄣ4"
+ ],
+ "𢱷": [
+ "ㄐㄧㄣ4"
+ ],
+ "𢱺": [
+ "ㄐㄩㄝ1"
+ ],
+ "𢱽": [
+ "ㄩㄢ1"
+ ],
+ "𢱾": [
+ "ㄖㄨㄢ2"
+ ],
+ "𢲔": [
+ "ㄅㄢ4",
+ "ㄅㄢ1",
+ "ㄆㄢ1"
+ ],
+ "𢲰": [
+ "ㄅㄧㄣ1"
+ ],
+ "𢲴": [
+ "ㄨㄟ4"
+ ],
+ "𢲵": [
+ "ㄗㄠ4"
+ ],
+ "𢲶": [
+ "ㄑㄧㄝ4"
+ ],
+ "𢲷": [
+ "ㄙㄡ1"
+ ],
+ "𢲸": [
+ "ㄌㄨ3"
+ ],
+ "𢲼": [
+ "ㄉㄧㄝ2"
+ ],
+ "𢲽": [
+ "ㄔㄨㄞ1"
+ ],
+ "𢲾": [
+ "ㄅㄧ4"
+ ],
+ "𢲿": [
+ "ㄓㄨ2"
+ ],
+ "𢳀": [
+ "ㄇㄚ1",
+ "ㄇㄛ2"
+ ],
+ "𢳁": [
+ "ㄈㄟ4"
+ ],
+ "𢳂": [
+ "ㄆㄧㄝ1"
+ ],
+ "𢳃": [
+ "ㄧㄣ4"
+ ],
+ "𢳄": [
+ "ㄒㄩㄢ4",
+ "ㄒㄩㄢ2"
+ ],
+ "𢳆": [
+ "ㄠ4",
+ "ㄠ2"
+ ],
+ "𢳇": [
+ "ㄓㄨㄛ2",
+ "ㄗㄨ2"
+ ],
+ "𢳈": [
+ "ㄗㄨ2"
+ ],
+ "𢳋": [
+ "ㄅㄧ3"
+ ],
+ "𢳑": [
+ "ㄌㄤ4"
+ ],
+ "𢳓": [
+ "ㄊㄧ4"
+ ],
+ "𢳙": [
+ "ㄊㄧㄠ3"
+ ],
+ "𢳚": [
+ "ㄐㄧㄢ1"
+ ],
+ "𢳟": [
+ "ㄊㄨㄥ3"
+ ],
+ "𢳽": [
+ "ㄉㄨㄛ1"
+ ],
+ "𢳾": [
+ "ㄉㄨㄥ4"
+ ],
+ "𢴂": [
+ "ㄅㄧㄢ3"
+ ],
+ "𢴠": [
+ "ㄓ4"
+ ],
+ "𢴢": [
+ "ㄈㄣ2"
+ ],
+ "𢴦": [
+ "ㄎㄤ2"
+ ],
+ "𢴧": [
+ "ㄓ4"
+ ],
+ "𢴨": [
+ "ㄓㄞ1",
+ "ㄓ4",
+ "ㄔ4"
+ ],
+ "𢴩": [
+ "ㄅㄧ4"
+ ],
+ "𢴪": [
+ "ㄎㄨㄢ3"
+ ],
+ "𢴬": [
+ "ㄅㄢ4"
+ ],
+ "𢴭": [
+ "ㄐㄩㄝ1"
+ ],
+ "𢴮": [
+ "ㄑㄩ1"
+ ],
+ "𢴰": [
+ "ㄑㄧ1"
+ ],
+ "𢴱": [
+ "ㄌㄟ2"
+ ],
+ "𢴲": [
+ "ㄒㄧㄝ2",
+ "ㄐㄧㄝ2"
+ ],
+ "𢴳": [
+ "ㄊㄤ1"
+ ],
+ "𢴼": [
+ "ㄙㄡ1"
+ ],
+ "𢴾": [
+ "ㄅㄟ4"
+ ],
+ "𢵇": [
+ "ㄧㄤ4"
+ ],
+ "𢵈": [
+ "ㄐㄧㄢ3",
+ "ㄓㄢ3"
+ ],
+ "𢵥": [
+ "ㄗㄠ4"
+ ],
+ "𢶀": [
+ "ㄓㄨㄞ4",
+ "ㄔㄨㄞ2"
+ ],
+ "𢶃": [
+ "ㄈㄢ2"
+ ],
+ "𢶅": [
+ "ㄕㄜ2"
+ ],
+ "𢶇": [
+ "ㄑㄩㄥ2"
+ ],
+ "𢶉": [
+ "ㄆㄛ4"
+ ],
+ "𢶋": [
+ "ㄊㄧㄝ3"
+ ],
+ "𢶌": [
+ "ㄕㄚ1"
+ ],
+ "𢶍": [
+ "ㄗㄚ2",
+ "ㄙㄚ4"
+ ],
+ "𢶑": [
+ "ㄋㄧㄠ3"
+ ],
+ "𢶒": [
+ "ㄍㄨㄞ4"
+ ],
+ "𢶓": [
+ "ㄘㄨㄟ3"
+ ],
+ "𢶡": [
+ "ㄑㄧㄠ4",
+ "ㄐㄧㄠ3"
+ ],
+ "𢶣": [
+ "ㄉㄧㄝ2"
+ ],
+ "𢶳": [
+ "ㄆㄧㄣ1"
+ ],
+ "𢶴": [
+ "ㄘ2"
+ ],
+ "𢶶": [
+ "ㄅㄤ4"
+ ],
+ "𢷍": [
+ "ㄧㄣ4"
+ ],
+ "𢷑": [
+ "ㄒㄧㄢ3"
+ ],
+ "𢷔": [
+ "ㄧ3"
+ ],
+ "𢷕": [
+ "ㄇㄧㄠ3"
+ ],
+ "𢷖": [
+ "ㄉㄨㄢ3"
+ ],
+ "𢷗": [
+ "ㄓㄡ4"
+ ],
+ "𢷙": [
+ "ㄎㄨㄥ1"
+ ],
+ "𢷢": [
+ "ㄓㄤ1"
+ ],
+ "𢷶": [
+ "ㄌㄧㄡ2"
+ ],
+ "𢷸": [
+ "ㄓ3"
+ ],
+ "𢷹": [
+ "ㄔㄢ3"
+ ],
+ "𢷺": [
+ "ㄉㄨ2"
+ ],
+ "𢷻": [
+ "ㄩㄢ2"
+ ],
+ "𢷾": [
+ "ㄙㄨㄛ4",
+ "ㄘㄜ4"
+ ],
+ "𢷿": [
+ "ㄐㄧㄝ2"
+ ],
+ "𢸀": [
+ "ㄌㄧ4"
+ ],
+ "𢸁": [
+ "ㄍㄨㄥ3"
+ ],
+ "𢸌": [
+ "ㄅㄤ1"
+ ],
+ "𢸗": [
+ "ㄍㄨㄛ2"
+ ],
+ "𢸘": [
+ "ㄌㄧㄠ2"
+ ],
+ "𢸙": [
+ "ㄕㄣ3"
+ ],
+ "𢸣": [
+ "ㄋㄧㄠ3"
+ ],
+ "𢸥": [
+ "ㄘㄨㄢ4"
+ ],
+ "𢸦": [
+ "ㄨㄟ3"
+ ],
+ "𢸨": [
+ "ㄊㄨㄛ1"
+ ],
+ "𢸫": [
+ "ㄙㄨ1"
+ ],
+ "𢸭": [
+ "ㄌㄨㄥ2"
+ ],
+ "𢸳": [
+ "ㄒㄧㄠ1"
+ ],
+ "𢸴": [
+ "ㄧㄢ3",
+ "ㄧㄢ2"
+ ],
+ "𢹃": [
+ "ㄑㄧㄥ3"
+ ],
+ "𢹍": [
+ "ㄒㄧ1"
+ ],
+ "𢹏": [
+ "ㄩ2"
+ ],
+ "𢹑": [
+ "ㄓㄥ4",
+ "ㄓㄥ1"
+ ],
+ "𢹒": [
+ "ㄒㄧㄝ4"
+ ],
+ "𢹓": [
+ "ㄔㄞ1"
+ ],
+ "𢹔": [
+ "ㄈㄣ4"
+ ],
+ "𢹖": [
+ "ㄍㄨㄛ2"
+ ],
+ "𢹘": [
+ "ㄐㄧㄥ3"
+ ],
+ "𢹙": [
+ "ㄌㄢ4"
+ ],
+ "𢹚": [
+ "ㄒㄧㄢ1"
+ ],
+ "𢹝": [
+ "ㄌㄧㄥ2"
+ ],
+ "𢹮": [
+ "ㄌㄟ3"
+ ],
+ "𢹲": [
+ "ㄐㄩㄣ4"
+ ],
+ "𢹳": [
+ "ㄒㄧㄠ4"
+ ],
+ "𢹼": [
+ "ㄗㄚ2"
+ ],
+ "𢺄": [
+ "ㄍㄨㄢ1"
+ ],
+ "𢺅": [
+ "ㄑㄧㄝ4"
+ ],
+ "𢺆": [
+ "ㄌㄨㄛ4"
+ ],
+ "𢺇": [
+ "ㄧㄠ4"
+ ],
+ "𢺈": [
+ "ㄌㄨㄢ2"
+ ],
+ "𢺉": [
+ "ㄊㄚ4"
+ ],
+ "𢺑": [
+ "ㄌㄨㄛ4"
+ ],
+ "𢺞": [
+ "ㄅㄚ3"
+ ],
+ "𢺟": [
+ "ㄔㄢ4"
+ ],
+ "𢺡": [
+ "ㄓㄨㄛ2"
+ ],
+ "𢺫": [
+ "ㄊㄧㄠ3"
+ ],
+ "𢺯": [
+ "ㄨㄢ1"
+ ],
+ "𢺰": [
+ "ㄌㄧㄥ2",
+ "ㄌㄧㄥ4"
+ ],
+ "𢺴": [
+ "ㄩ4"
+ ],
+ "𢺵": [
+ "ㄑㄧ4",
+ "ㄑㄧ3"
+ ],
+ "𢺷": [
+ "ㄑㄧ2"
+ ],
+ "𢺼": [
+ "ㄐㄧ4"
+ ],
+ "𢺽": [
+ "ㄅㄛ2",
+ "ㄐㄧㄠ4"
+ ],
+ "𢺿": [
+ "ㄕ1"
+ ],
+ "𢻀": [
+ "ㄈㄨ3"
+ ],
+ "𢻂": [
+ "ㄍㄨㄟ1"
+ ],
+ "𢻅": [
+ "ㄉㄧㄢ3"
+ ],
+ "𢻇": [
+ "ㄏㄠ1"
+ ],
+ "𢻉": [
+ "ㄍㄞ3"
+ ],
+ "𢻋": [
+ "ㄑㄧ2"
+ ],
+ "𢻓": [
+ "ㄔㄥ2"
+ ],
+ "𢻔": [
+ "ㄏㄨㄟ4"
+ ],
+ "𢻗": [
+ "ㄒㄧㄚ2",
+ "ㄍㄨㄟ1"
+ ],
+ "𢻘": [
+ "ㄕ2"
+ ],
+ "𢻙": [
+ "ㄓ4"
+ ],
+ "𢻚": [
+ "ㄑㄧ2"
+ ],
+ "𢻜": [
+ "ㄏㄞ4"
+ ],
+ "𢻟": [
+ "ㄐㄧㄠ3"
+ ],
+ "𢻠": [
+ "ㄌㄧ4"
+ ],
+ "𢻢": [
+ "ㄌㄧㄠ3"
+ ],
+ "𢻤": [
+ "ㄑㄧㄠ1",
+ "ㄑㄧㄠ2"
+ ],
+ "𢻨": [
+ "ㄙㄚ4"
+ ],
+ "𢻪": [
+ "ㄑㄧ1"
+ ],
+ "𢻫": [
+ "ㄕ1"
+ ],
+ "𢻮": [
+ "ㄐㄧㄝ2",
+ "ㄈㄨ2"
+ ],
+ "𢻵": [
+ "ㄅㄟ4",
+ "ㄌㄨ4"
+ ],
+ "𢻶": [
+ "ㄅㄧㄢ1"
+ ],
+ "𢻷": [
+ "ㄅㄚ1"
+ ],
+ "𢻸": [
+ "ㄐㄩㄣ1"
+ ],
+ "𢻹": [
+ "ㄆㄧ1"
+ ],
+ "𢻼": [
+ "ㄉㄢ3"
+ ],
+ "𢻿": [
+ "ㄊㄤ2"
+ ],
+ "𢼀": [
+ "ㄎㄨㄟ3"
+ ],
+ "𢼁": [
+ "ㄎㄨ1"
+ ],
+ "𢼃": [
+ "ㄎㄡ3"
+ ],
+ "𢼉": [
+ "ㄕ1"
+ ],
+ "𢼊": [
+ "ㄕ1",
+ "ㄊㄨㄛ2"
+ ],
+ "𢼋": [
+ "ㄐㄧ1"
+ ],
+ "𢼌": [
+ "ㄅㄠ4"
+ ],
+ "𢼐": [
+ "ㄎㄜ3"
+ ],
+ "𢼑": [
+ "ㄎㄨㄤ1"
+ ],
+ "𢼖": [
+ "ㄇㄧㄣ3"
+ ],
+ "𢼙": [
+ "ㄌㄧㄠ2"
+ ],
+ "𢼚": [
+ "ㄜ4"
+ ],
+ "𢼛": [
+ "ㄍㄜ2",
+ "ㄍㄨㄛ2",
+ "ㄜ4"
+ ],
+ "𢼟": [
+ "ㄨㄤ3"
+ ],
+ "𢼠": [
+ "ㄉㄨㄛ2"
+ ],
+ "𢼣": [
+ "ㄑㄧㄚ4"
+ ],
+ "𢼤": [
+ "ㄏㄨㄚ2"
+ ],
+ "𢼦": [
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+ "ㄑㄩ1"
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+ "ㄗ4"
+ ],
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+ "ㄓㄡ4"
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+ "ㄕㄚ1"
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+ "ㄐㄧ4"
+ ],
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+ "ㄨㄟ1",
+ "ㄨㄟ2"
+ ],
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+ "ㄆㄨ1",
+ "ㄅㄨ3"
+ ],
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+ "ㄒㄩㄝ2"
+ ],
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+ "ㄕㄠ1"
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+ "ㄌㄤ2"
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+ ],
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+ "ㄉㄚ4"
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+ "ㄓ3"
+ ],
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+ "ㄉㄨ1"
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+ "ㄗㄚ2"
+ ],
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+ "ㄔㄢ2"
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+ "ㄓㄡ1"
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+ "ㄏㄨ1"
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+ "ㄆㄥ1"
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+ "ㄒㄧㄠ4"
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+ "ㄉㄨ3"
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+ "ㄨㄟ2"
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+ "ㄘㄢ2"
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+ "ㄩ2"
+ ],
+ "𢾅": [
+ "ㄉㄨ4"
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+ "ㄎㄞ1"
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+ "ㄆㄧ4"
+ ],
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+ "ㄔㄥ2"
+ ],
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+ "ㄔㄨㄣ3"
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+ "𢾐": [
+ "ㄕㄠ3"
+ ],
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+ "ㄧㄢ3"
+ ],
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+ "ㄎㄨㄞ4"
+ ],
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+ "ㄩㄝ1"
+ ],
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+ "ㄑㄧ2"
+ ],
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+ "ㄓㄥ1"
+ ],
+ "𢾩": [
+ "ㄎㄜ4"
+ ],
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+ "ㄑㄧ2"
+ ],
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+ "ㄓ3"
+ ],
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+ "ㄌㄨ4"
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+ "ㄆㄧ1"
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+ "ㄋㄨㄛ4"
+ ],
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+ "ㄆㄠ3"
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+ "𢾺": [
+ "ㄈㄟ3"
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+ "ㄨㄣ2"
+ ],
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+ "ㄇㄥ2"
+ ],
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+ "ㄕㄢ3"
+ ],
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+ "ㄒㄩㄢ4"
+ ],
+ "𢿎": [
+ "ㄉㄨㄛ4"
+ ],
+ "𢿏": [
+ "ㄅㄧㄠ4",
+ "ㄆㄠ1"
+ ],
+ "𢿚": [
+ "ㄧㄡ1"
+ ],
+ "𢿜": [
+ "ㄇㄢ4"
+ ],
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+ ],
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+ "ㄒㄧㄝ2"
+ ],
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+ "ㄌㄨㄢ4"
+ ],
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+ "ㄑㄧㄠ1"
+ ],
+ "𢿤": [
+ "ㄉㄥ4"
+ ],
+ "𢿦": [
+ "ㄔㄥ2"
+ ],
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+ "ㄔㄥ2"
+ ],
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+ "ㄔㄨㄛ4"
+ ],
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+ "ㄘㄜ4"
+ ],
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+ "ㄌㄟ2"
+ ],
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+ "ㄓㄢ3"
+ ],
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+ "ㄌㄧ3"
+ ],
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+ "ㄌㄧㄢ2"
+ ],
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+ "ㄑㄩㄣ2"
+ ],
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+ "ㄔㄣ2"
+ ],
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+ "ㄔㄥ2"
+ ],
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+ "ㄍㄨ1"
+ ],
+ "𣀒": [
+ "ㄗㄨㄥ4"
+ ],
+ "𣀓": [
+ "ㄔㄡ2",
+ "ㄉㄠ3"
+ ],
+ "𣀔": [
+ "ㄔㄨㄢ4",
+ "ㄔㄨㄛ4"
+ ],
+ "𣀜": [
+ "ㄌㄟ4"
+ ],
+ "𣀝": [
+ "ㄕㄨㄛ4"
+ ],
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+ "ㄌㄩ4"
+ ],
+ "𣀣": [
+ "ㄈㄨ2"
+ ],
+ "𣀥": [
+ "ㄌㄧ4"
+ ],
+ "𣀧": [
+ "ㄙㄢ4"
+ ],
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+ "ㄙㄢ1"
+ ],
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+ "ㄙㄚ4"
+ ],
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+ "ㄋㄧㄝ4"
+ ],
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+ "ㄗㄨㄢ1"
+ ],
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+ "ㄌㄧ3",
+ "ㄌㄧ2"
+ ],
+ "𣀻": [
+ "ㄕㄨ3",
+ "ㄓㄨ3"
+ ],
+ "𣀾": [
+ "ㄈㄨ2"
+ ],
+ "𣁉": [
+ "ㄅㄧ4"
+ ],
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+ "ㄉㄠ4"
+ ],
+ "𣁒": [
+ "ㄕ1"
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+ "𣁖": [
+ "ㄍㄢ4"
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+ "ㄊㄢ4"
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+ "ㄇㄢ4"
+ ],
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+ "ㄌㄧ2"
+ ],
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+ "ㄅㄧ4"
+ ],
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+ "ㄆㄢ2"
+ ],
+ "𣁨": [
+ "ㄧㄡ1"
+ ],
+ "𣁭": [
+ "ㄐㄧㄡ1"
+ ],
+ "𣁯": [
+ "ㄍㄨㄛ1"
+ ],
+ "𣁰": [
+ "ㄌㄧㄠ2"
+ ],
+ "𣁳": [
+ "ㄨㄛ4"
+ ],
+ "𣁴": [
+ "ㄑㄧㄚ4"
+ ],
+ "𣁵": [
+ "ㄉㄡ3"
+ ],
+ "𣁷": [
+ "ㄌㄧㄝ4"
+ ],
+ "𣁹": [
+ "ㄐㄧㄠ3"
+ ],
+ "𣁻": [
+ "ㄌㄧㄝ4",
+ "ㄌㄨㄛ1"
+ ],
+ "𣂁": [
+ "ㄊㄧㄠ1",
+ "ㄑㄧㄠ1"
+ ],
+ "𣂄": [
+ "ㄍㄨㄛ1"
+ ],
+ "𣂆": [
+ "ㄆㄤ1"
+ ],
+ "𣂇": [
+ "ㄑㄧㄠ1"
+ ],
+ "𣂉": [
+ "ㄉㄧ2"
+ ],
+ "𣂊": [
+ "ㄩㄣ4"
+ ],
+ "𣂒": [
+ "ㄌㄜ4"
+ ],
+ "𣂖": [
+ "ㄙ1"
+ ],
+ "𣂗": [
+ "ㄒㄧㄣ1"
+ ],
+ "𣂜": [
+ "ㄒㄧㄣ1"
+ ],
+ "𣂝": [
+ "ㄒㄧㄤ4"
+ ],
+ "𣂞": [
+ "ㄌㄨㄛ3"
+ ],
+ "𣂤": [
+ "ㄅㄥ1"
+ ],
+ "𣂥": [
+ "ㄊㄧㄠ1",
+ "ㄑㄧㄠ1"
+ ],
+ "𣂬": [
+ "ㄒㄧㄠ4"
+ ],
+ "𣂮": [
+ "ㄉㄡ1",
+ "ㄊㄡ2"
+ ],
+ "𣂳": [
+ "ㄉㄤ4"
+ ],
+ "𣂴": [
+ "ㄊㄧㄥ2"
+ ],
+ "𣂵": [
+ "ㄓㄨㄢ4"
+ ],
+ "𣂻": [
+ "ㄡ1",
+ "ㄎㄡ1"
+ ],
+ "𣂽": [
+ "ㄨㄛ4"
+ ],
+ "𣃄": [
+ "ㄒㄧㄣ1"
+ ],
+ "𣃅": [
+ "ㄖㄨㄢ3"
+ ],
+ "𣃈": [
+ "ㄓㄨㄛ2"
+ ],
+ "𣃉": [
+ "ㄉㄤ4"
+ ],
+ "𣃍": [
+ "ㄘㄨㄟ4",
+ "ㄔㄚ4"
+ ],
+ "𣃑": [
+ "ㄓㄨㄛ2"
+ ],
+ "𣃗": [
+ "ㄘㄨㄥ2"
+ ],
+ "𣃘": [
+ "ㄔㄢ3",
+ "ㄔㄨㄤ2"
+ ],
+ "𣃝": [
+ "ㄧㄤ3"
+ ],
+ "𣃧": [
+ "ㄧㄢ3"
+ ],
+ "𣃳": [
+ "ㄧㄢ3",
+ "ㄧㄝ4"
+ ],
+ "𣃵": [
+ "ㄓㄣ4",
+ "ㄕㄣ1"
+ ],
+ "𣃽": [
+ "ㄋㄨㄛ3"
+ ],
+ "𣃾": [
+ "ㄧㄢ4"
+ ],
+ "𣄅": [
+ "ㄈㄤ3"
+ ],
+ "𣄉": [
+ "ㄧㄢ3"
+ ],
+ "𣄊": [
+ "ㄩ2"
+ ],
+ "𣄍": [
+ "ㄊㄧ2"
+ ],
+ "𣄎": [
+ "ㄈㄨ4"
+ ],
+ "𣄏": [
+ "ㄅㄣ3"
+ ],
+ "𣄑": [
+ "ㄧㄢ3"
+ ],
+ "𣄓": [
+ "ㄏㄨㄟ1"
+ ],
+ "𣄙": [
+ "ㄏㄨㄤ3"
+ ],
+ "𣄜": [
+ "ㄍㄨㄟ4"
+ ],
+ "𣄝": [
+ "ㄧㄢ4"
+ ],
+ "𣄟": [
+ "ㄏㄨ2"
+ ],
+ "𣄠": [
+ "ㄅㄧㄠ1"
+ ],
+ "𣄧": [
+ "ㄙㄨㄟ4",
+ "ㄨㄟ2"
+ ],
+ "𣄮": [
+ "ㄗ4"
+ ],
+ "𣄯": [
+ "ㄐㄧ4"
+ ],
+ "𣄰": [
+ "ㄜ3"
+ ],
+ "𣄱": [
+ "ㄐㄧ4"
+ ],
+ "𣄲": [
+ "ㄎㄨㄟ3"
+ ],
+ "𣄴": [
+ "ㄌㄧㄤ4"
+ ],
+ "𣄸": [
+ "ㄏㄨㄛ4"
+ ],
+ "𣄺": [
+ "ㄨㄟ2"
+ ],
+ "𣄻": [
+ "ㄓㄨㄛ1"
+ ],
+ "𣄿": [
+ "ㄊㄧㄥ3"
+ ],
+ "𣅃": [
+ "ㄗㄞ3"
+ ],
+ "𣅄": [
+ "ㄧㄡ4"
+ ],
+ "𣅉": [
+ "ㄖㄣ4"
+ ],
+ "𣅍": [
+ "ㄇㄧㄢ4",
+ "ㄅㄧㄥ1"
+ ],
+ "𣅚": [
+ "ㄋㄚ4",
+ "ㄋㄧㄡ3"
+ ],
+ "𣅝": [
+ "ㄊㄨ1"
+ ],
+ "𣅟": [
+ "ㄉㄢ1"
+ ],
+ "𣅡": [
+ "ㄐㄩㄝ2"
+ ],
+ "𣅤": [
+ "ㄒㄩ1"
+ ],
+ "𣅥": [
+ "ㄉㄧ1"
+ ],
+ "𣅰": [
+ "ㄒㄧㄤ4"
+ ],
+ "𣅷": [
+ "ㄒㄩㄥ4"
+ ],
+ "𣅺": [
+ "ㄧㄡ3"
+ ],
+ "𣅻": [
+ "ㄍㄨㄚ3",
+ "ㄐㄩㄥ1"
+ ],
+ "𣅾": [
+ "ㄒㄧ1"
+ ],
+ "𣆈": [
+ "ㄏㄜ4"
+ ],
+ "𣆍": [
+ "ㄉㄧㄥ3"
+ ],
+ "𣆐": [
+ "ㄌㄨ2"
+ ],
+ "𣆒": [
+ "ㄒㄩ2"
+ ],
+ "𣆔": [
+ "ㄓㄡ4"
+ ],
+ "𣆕": [
+ "ㄒㄧㄢ4"
+ ],
+ "𣆖": [
+ "ㄏㄨㄤ1"
+ ],
+ "𣆗": [
+ "ㄔㄚ1"
+ ],
+ "𣆘": [
+ "ㄕ3"
+ ],
+ "𣆙": [
+ "ㄍㄢ4"
+ ],
+ "𣆚": [
+ "ㄋㄨㄛ3",
+ "ㄔ3"
+ ],
+ "𣆛": [
+ "ㄢ4",
+ "ㄨㄢ3"
+ ],
+ "𣆟": [
+ "ㄒㄧㄝ1",
+ "ㄐㄧㄝ1"
+ ],
+ "𣆧": [
+ "ㄏㄠ4"
+ ],
+ "𣆲": [
+ "ㄑㄧㄣ1"
+ ],
+ "𣆳": [
+ "ㄍㄥ3"
+ ],
+ "𣆴": [
+ "ㄕㄢ1"
+ ],
+ "𣆵": [
+ "ㄈㄨ2"
+ ],
+ "𣆽": [
+ "ㄗㄜ4"
+ ],
+ "𣇇": [
+ "ㄉㄢ4"
+ ],
+ "𣇖": [
+ "ㄉㄧㄢ3"
+ ],
+ "𣇗": [
+ "ㄕㄣ1"
+ ],
+ "𣇙": [
+ "ㄗㄨ3"
+ ],
+ "𣇢": [
+ "ㄅㄧㄝ1"
+ ],
+ "𣇦": [
+ "ㄔㄨㄟ2"
+ ],
+ "𣇧": [
+ "ㄓㄜ4"
+ ],
+ "𣇨": [
+ "ㄉㄞ4"
+ ],
+ "𣇫": [
+ "ㄨㄛ3"
+ ],
+ "𣇬": [
+ "ㄑㄩㄥ2"
+ ],
+ "𣇰": [
+ "ㄌㄧㄣ2"
+ ],
+ "𣇲": [
+ "ㄏㄨㄣ1"
+ ],
+ "𣇳": [
+ "ㄐㄧ1"
+ ],
+ "𣈅": [
+ "ㄘㄠ2"
+ ],
+ "𣈊": [
+ "ㄇㄨ4"
+ ],
+ "𣈍": [
+ "ㄉㄧㄝ2"
+ ],
+ "𣈎": [
+ "ㄨㄟ4"
+ ],
+ "𣈠": [
+ "ㄅㄧㄢ4"
+ ],
+ "𣈡": [
+ "ㄊㄧ3"
+ ],
+ "𣈥": [
+ "ㄊㄨ2"
+ ],
+ "𣈶": [
+ "ㄍㄥ4"
+ ],
+ "𣉄": [
+ "ㄔ2"
+ ],
+ "𣉅": [
+ "ㄘㄡ4"
+ ],
+ "𣉆": [
+ "ㄊㄧ3"
+ ],
+ "𣉒": [
+ "ㄏㄨㄛ4"
+ ],
+ "𣉓": [
+ "ㄑㄧ1"
+ ],
+ "𣉔": [
+ "ㄙㄠ1"
+ ],
+ "𣉕": [
+ "ㄙㄤ4"
+ ],
+ "𣉖": [
+ "ㄒㄩㄢ3"
+ ],
+ "𣉗": [
+ "ㄤ4"
+ ],
+ "𣉘": [
+ "ㄋㄞ4"
+ ],
+ "𣉚": [
+ "ㄧㄤ2"
+ ],
+ "𣉛": [
+ "ㄕㄨ1"
+ ],
+ "𣉜": [
+ "ㄕㄚ1"
+ ],
+ "𣉡": [
+ "ㄊㄧㄥ3"
+ ],
+ "𣉩": [
+ "ㄧㄚ4"
+ ],
+ "𣉪": [
+ "ㄏㄨㄤ3"
+ ],
+ "𣉮": [
+ "ㄅㄧㄣ1"
+ ],
+ "𣉾": [
+ "ㄡ4"
+ ],
+ "𣉿": [
+ "ㄘㄠ2"
+ ],
+ "𣊁": [
+ "ㄠ2"
+ ],
+ "𣊃": [
+ "ㄇㄠ4"
+ ],
+ "𣊔": [
+ "ㄇㄥ2"
+ ],
+ "𣊖": [
+ "ㄊㄧㄢ1"
+ ],
+ "𣊝": [
+ "ㄙㄤ4"
+ ],
+ "𣊞": [
+ "ㄒㄩ4"
+ ],
+ "𣊟": [
+ "ㄎㄢ4"
+ ],
+ "𣊧": [
+ "ㄌㄤ3",
+ "ㄓㄠ4"
+ ],
+ "𣊶": [
+ "ㄅㄧㄝ1"
+ ],
+ "𣊷": [
+ "ㄘㄨㄥ2"
+ ],
+ "𣊺": [
+ "ㄒㄧㄢ2"
+ ],
+ "𣋄": [
+ "ㄊㄨㄣ1"
+ ],
+ "𣋉": [
+ "ㄩ4"
+ ],
+ "𣋊": [
+ "ㄉㄢ4"
+ ],
+ "𣋋": [
+ "ㄧㄥ4"
+ ],
+ "𣋍": [
+ "ㄓㄠ1"
+ ],
+ "𣋏": [
+ "ㄆㄨ4"
+ ],
+ "𣋘": [
+ "ㄏㄨㄟ4"
+ ],
+ "𣋞": [
+ "ㄞ4"
+ ],
+ "𣋟": [
+ "ㄇㄛ3"
+ ],
+ "𣋢": [
+ "ㄐㄧㄥ1"
+ ],
+ "𣋣": [
+ "ㄌㄢ2"
+ ],
+ "𣋲": [
+ "ㄌㄧㄝ4"
+ ],
+ "𣋳": [
+ "ㄆㄧㄠ3",
+ "ㄅㄠ4"
+ ],
+ "𣋵": [
+ "ㄅㄛ2"
+ ],
+ "𣋶": [
+ "ㄑㄩㄥ2"
+ ],
+ "𣋹": [
+ "ㄅㄧ4"
+ ],
+ "𣋿": [
+ "ㄩㄥ1"
+ ],
+ "𣌅": [
+ "ㄌㄧ4"
+ ],
+ "𣌍": [
+ "ㄋㄧㄝ4"
+ ],
+ "𣌏": [
+ "ㄉㄜ2"
+ ],
+ "𣌓": [
+ "ㄏㄨㄢ1"
+ ],
+ "𣌗": [
+ "ㄩㄝ4"
+ ],
+ "𣌚": [
+ "ㄔㄨㄣ1"
+ ],
+ "𣌜": [
+ "ㄌㄧ4"
+ ],
+ "𣌞": [
+ "ㄓㄤ1"
+ ],
+ "𣌟": [
+ "ㄌㄧㄥ2"
+ ],
+ "𣌠": [
+ "ㄔㄨㄣ2"
+ ],
+ "𣌧": [
+ "ㄘㄜ4"
+ ],
+ "𣌨": [
+ "ㄒㄩㄣ2"
+ ],
+ "𣌬": [
+ "ㄐㄩ3"
+ ],
+ "𣌭": [
+ "ㄏㄨㄟ5",
+ "ㄉㄚ2"
+ ],
+ "𣌾": [
+ "ㄊㄨㄥ1"
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+ ],
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+ "ㄏㄨ2"
+ ],
+ "𣛱": [
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+ "ㄌㄢ3"
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+ "𣛴": [
+ "ㄏㄢ3"
+ ],
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+ "𣛶": [
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+ "𣛷": [
+ "ㄓㄢ3"
+ ],
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+ ],
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+ "ㄔㄨㄞ3"
+ ],
+ "𣛺": [
+ "ㄑㄧ1"
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+ "𣛻": [
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+ ],
+ "𣛽": [
+ "ㄓㄚ4"
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+ "ㄊㄡ4"
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+ "𣜧": [
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+ "𣜨": [
+ "ㄐㄩㄢ4"
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+ "𣜬": [
+ "ㄞ4"
+ ],
+ "𣜭": [
+ "ㄐㄧㄢ3"
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+ "𣜹": [
+ "ㄊㄧ4"
+ ],
+ "𣜺": [
+ "ㄨㄣ2"
+ ],
+ "𣜽": [
+ "ㄑㄧㄠ1"
+ ],
+ "𣝁": [
+ "ㄆㄞ2",
+ "ㄅㄟ1"
+ ],
+ "𣝂": [
+ "ㄏㄨㄣ2"
+ ],
+ "𣝅": [
+ "ㄞ4"
+ ],
+ "𣝇": [
+ "ㄕㄨㄛ4"
+ ],
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+ "𣝉": [
+ "ㄉㄨㄟ4"
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+ "𣝋": [
+ "ㄊㄚ4"
+ ],
+ "𣝌": [
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+ "𣝍": [
+ "ㄅㄧ4"
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+ "𣝎": [
+ "ㄧㄢ3"
+ ],
+ "𣝏": [
+ "ㄍㄠ4"
+ ],
+ "𣝐": [
+ "ㄆㄧㄠ2"
+ ],
+ "𣝑": [
+ "ㄩ4",
+ "ㄩ2"
+ ],
+ "𣝒": [
+ "ㄕㄜ4"
+ ],
+ "𣝕": [
+ "ㄐㄧㄢ1"
+ ],
+ "𣝗": [
+ "ㄏㄨ2"
+ ],
+ "𣝚": [
+ "ㄌㄧㄝ4"
+ ],
+ "𣝜": [
+ "ㄅㄧㄢ4"
+ ],
+ "𣝝": [
+ "ㄙㄨ4"
+ ],
+ "𣝞": [
+ "ㄐㄧㄠ1"
+ ],
+ "𣝸": [
+ "ㄓㄨㄟ4"
+ ],
+ "𣝽": [
+ "ㄏㄢ1"
+ ],
+ "𣞇": [
+ "ㄉㄨㄣ4"
+ ],
+ "𣞐": [
+ "ㄒㄧㄝ3"
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+ "𣞑": [
+ "ㄇㄥ2"
+ ],
+ "𣞒": [
+ "ㄈㄨ1"
+ ],
+ "𣞓": [
+ "ㄌㄨ4"
+ ],
+ "𣞔": [
+ "ㄊㄢ4"
+ ],
+ "𣞗": [
+ "ㄌㄧㄡ2"
+ ],
+ "𣞘": [
+ "ㄒㄧㄢ1"
+ ],
+ "𣞙": [
+ "ㄙㄤ3"
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+ "ㄗㄚ1"
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+ "ㄔㄥ3"
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+ "ㄉㄚ4"
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+ "ㄅㄧ4"
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+ "ㄩㄝ4"
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+ "ㄍㄤ1"
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+ "ㄍㄢ1"
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+ "ㄔㄨ2"
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+ "ㄅㄧ4"
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+ "ㄍㄨ3"
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+ "ㄅㄧㄥ3"
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+ "𣦫": [
+ "ㄧㄣ4"
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+ "ㄓㄨㄟ4"
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+ "ㄍㄨ3"
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+ "𣦯": [
+ "ㄌㄧ4"
+ ],
+ "𣦵": [
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+ "ㄓㄣ1"
+ ],
+ "𣦶": [
+ "ㄉㄞ3"
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+ "ㄘㄢ2"
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+ "𣧂": [
+ "ㄊㄧ4"
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+ "ㄉㄨ4"
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+ "𣧄": [
+ "ㄧ4"
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+ ],
+ "𣧌": [
+ "ㄒㄩㄝ4"
+ ],
+ "𣧍": [
+ "ㄋㄜ4"
+ ],
+ "𣧎": [
+ "ㄍㄨㄟ4"
+ ],
+ "𣧏": [
+ "ㄎㄠ3"
+ ],
+ "𣧒": [
+ "ㄔㄨㄢ3",
+ "ㄇㄛ4"
+ ],
+ "𣧖": [
+ "ㄓㄚ2"
+ ],
+ "𣧗": [
+ "ㄧㄡ2"
+ ],
+ "𣧙": [
+ "ㄅㄞ4"
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+ "ㄕ2"
+ ],
+ "𣧛": [
+ "ㄉㄧㄢ4"
+ ],
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+ "ㄆㄚ1"
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+ ],
+ "𣧡": [
+ "ㄒㄩㄝ4"
+ ],
+ "𣧣": [
+ "ㄇㄛ4"
+ ],
+ "𣧤": [
+ "ㄎㄜ1"
+ ],
+ "𣧥": [
+ "ㄧㄡ3"
+ ],
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+ "ㄐㄧㄠ3"
+ ],
+ "𣧧": [
+ "ㄅㄛ2"
+ ],
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+ "ㄒㄧㄡ3"
+ ],
+ "𣧲": [
+ "ㄇㄧ3"
+ ],
+ "𣧳": [
+ "ㄌㄨㄛ4"
+ ],
+ "𣧵": [
+ "ㄒㄩㄝ4",
+ "ㄒㄩ4"
+ ],
+ "𣧷": [
+ "ㄉㄨㄛ4"
+ ],
+ "𣧹": [
+ "ㄦ4"
+ ],
+ "𣧺": [
+ "ㄕㄢ1"
+ ],
+ "𣧼": [
+ "ㄎㄨㄟ4"
+ ],
+ "𣧽": [
+ "ㄋㄠ4"
+ ],
+ "𣧾": [
+ "ㄇㄧㄢ3"
+ ],
+ "𣧿": [
+ "ㄌㄧ4"
+ ],
+ "𣨀": [
+ "ㄌㄨㄢ4"
+ ],
+ "𣨂": [
+ "ㄉㄧㄝ2"
+ ],
+ "𣨄": [
+ "ㄑㄧㄚ4"
+ ],
+ "𣨅": [
+ "ㄌㄟ4"
+ ],
+ "𣨇": [
+ "ㄇㄠ4"
+ ],
+ "𣨉": [
+ "ㄏㄥ1"
+ ],
+ "𣨊": [
+ "ㄔㄜ4"
+ ],
+ "𣨋": [
+ "ㄓ4"
+ ],
+ "𣨍": [
+ "ㄍㄨ3"
+ ],
+ "𣨎": [
+ "ㄘㄨㄛ1"
+ ],
+ "𣨓": [
+ "ㄨ4"
+ ],
+ "𣨔": [
+ "ㄊㄠ4"
+ ],
+ "𣨗": [
+ "ㄒㄧ1"
+ ],
+ "𣨘": [
+ "ㄧㄠ1"
+ ],
+ "𣨙": [
+ "ㄨㄟ3",
+ "ㄨㄟ4"
+ ],
+ "𣨛": [
+ "ㄗㄨ2"
+ ],
+ "𣨜": [
+ "ㄇㄚ4"
+ ],
+ "𣨝": [
+ "ㄩ3"
+ ],
+ "𣨞": [
+ "ㄆㄥ3"
+ ],
+ "𣨟": [
+ "ㄧ4"
+ ],
+ "𣨠": [
+ "ㄑㄧㄣ4",
+ "ㄑㄧㄣ1"
+ ],
+ "𣨡": [
+ "ㄩㄝ4"
+ ],
+ "𣨢": [
+ "ㄐㄩㄝ4"
+ ],
+ "𣨣": [
+ "ㄐㄧㄤ4"
+ ],
+ "𣨤": [
+ "ㄒㄩ4"
+ ],
+ "𣨥": [
+ "ㄅㄥ1"
+ ],
+ "𣨪": [
+ "ㄌㄨㄛ3"
+ ],
+ "𣨫": [
+ "ㄓㄨㄟ1"
+ ],
+ "𣨲": [
+ "ㄉㄨ4"
+ ],
+ "𣨳": [
+ "ㄒㄧㄤ4"
+ ],
+ "𣨶": [
+ "ㄏㄨㄟ4"
+ ],
+ "𣨺": [
+ "ㄍㄨ3"
+ ],
+ "𣨻": [
+ "ㄎㄠ3"
+ ],
+ "𣨾": [
+ "ㄒㄧㄥ1"
+ ],
+ "𣨿": [
+ "ㄏㄨㄣ2"
+ ],
+ "𣩀": [
+ "ㄅㄧㄢ1"
+ ],
+ "𣩄": [
+ "ㄎㄜ4",
+ "ㄞ4"
+ ],
+ "𣩅": [
+ "ㄎㄠ3"
+ ],
+ "𣩈": [
+ "ㄘㄨㄛ2",
+ "ㄗㄨㄛ1"
+ ],
+ "𣩏": [
+ "ㄌㄨ4"
+ ],
+ "𣩑": [
+ "ㄗㄨㄟ4"
+ ],
+ "𣩒": [
+ "ㄗㄠ1"
+ ],
+ "𣩓": [
+ "ㄐㄧㄠ3"
+ ],
+ "𣩔": [
+ "ㄍㄨㄢ4"
+ ],
+ "𣩙": [
+ "ㄧㄢ1"
+ ],
+ "𣩚": [
+ "ㄦ2"
+ ],
+ "𣩜": [
+ "ㄑㄧㄥ2"
+ ],
+ "𣩟": [
+ "ㄉㄥ4"
+ ],
+ "𣩠": [
+ "ㄙ4"
+ ],
+ "𣩡": [
+ "ㄙㄨㄟ4"
+ ],
+ "𣩢": [
+ "ㄌㄧㄠ4"
+ ],
+ "𣩧": [
+ "ㄕㄢ4"
+ ],
+ "𣩩": [
+ "ㄅㄧ4"
+ ],
+ "𣩪": [
+ "ㄨㄟ4"
+ ],
+ "𣩫": [
+ "ㄧㄝ4"
+ ],
+ "𣩭": [
+ "ㄓㄞ4"
+ ],
+ "𣩯": [
+ "ㄧㄝ2"
+ ],
+ "𣩰": [
+ "ㄉㄧㄠ4"
+ ],
+ "𣩱": [
+ "ㄞ4",
+ "ㄎㄜ1"
+ ],
+ "𣩴": [
+ "ㄐㄧㄤ4"
+ ],
+ "𣩷": [
+ "ㄙㄨ1"
+ ],
+ "𣩹": [
+ "ㄏㄨㄞ4"
+ ],
+ "𣩺": [
+ "ㄩ4"
+ ],
+ "𣩽": [
+ "ㄖㄤ3"
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+ "ㄕ4"
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+ ],
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+ "ㄈㄣ1"
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+ ],
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+ ],
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+ "ㄅㄚ5"
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+ "ㄅㄚ5"
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+ "ㄅㄠ4"
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+ "ㄅㄧ4"
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+ ],
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+ "ㄑㄩ2"
+ ],
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+ "ㄅㄛ2"
+ ],
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+ "ㄏㄠ1"
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+ ],
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+ ],
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+ "ㄅㄧ4"
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+ ],
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+ "ㄙㄡ1"
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+ ],
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+ ],
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+ "ㄇㄠ4"
+ ],
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+ "ㄐㄧ4"
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+ "ㄑㄧ2"
+ ],
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+ "ㄖㄨ4"
+ ],
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+ "ㄙㄨㄛ1"
+ ],
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+ "ㄖㄨㄥ3"
+ ],
+ "𣯎": [
+ "ㄨ4"
+ ],
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+ "ㄖㄨㄥ2",
+ "ㄖㄨㄥ3"
+ ],
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+ "ㄖㄨㄥ2"
+ ],
+ "𣯚": [
+ "ㄊㄚ4"
+ ],
+ "𣯜": [
+ "ㄙㄡ1"
+ ],
+ "𣯤": [
+ "ㄌㄧ2"
+ ],
+ "𣯧": [
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+ "ㄙㄨㄟ1"
+ ],
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+ "ㄗㄨㄥ1"
+ ],
+ "𣯩": [
+ "ㄇㄣ2"
+ ],
+ "𣯪": [
+ "ㄒㄧ3"
+ ],
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+ "ㄇㄤ3"
+ ],
+ "𣯭": [
+ "ㄋㄧㄝ4"
+ ],
+ "𣯯": [
+ "ㄙㄨㄟ1"
+ ],
+ "𣯱": [
+ "ㄆㄟ2"
+ ],
+ "𣯴": [
+ "ㄅㄧ4"
+ ],
+ "𣯵": [
+ "ㄉㄧ4"
+ ],
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+ "ㄑㄩ2"
+ ],
+ "𣯹": [
+ "ㄑㄧㄠ2"
+ ],
+ "𣯻": [
+ "ㄈㄣ1"
+ ],
+ "𣯼": [
+ "ㄙㄨ4"
+ ],
+ "𣰃": [
+ "ㄒㄩ1"
+ ],
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+ "ㄖㄨㄥ3"
+ ],
+ "𣰈": [
+ "ㄐㄧ1"
+ ],
+ "𣰋": [
+ "ㄑㄩ2"
+ ],
+ "𣰌": [
+ "ㄌㄧㄝ4",
+ "ㄏㄜ2"
+ ],
+ "𣰕": [
+ "ㄙㄠ4"
+ ],
+ "𣰘": [
+ "ㄎㄨㄣ4"
+ ],
+ "𣰚": [
+ "ㄘㄨㄟ4"
+ ],
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+ "ㄧㄝ4"
+ ],
+ "𣰜": [
+ "ㄅㄧㄥ4"
+ ],
+ "𣰞": [
+ "ㄐㄧㄝ2"
+ ],
+ "𣰠": [
+ "ㄑㄩ2"
+ ],
+ "𣰡": [
+ "ㄑㄩ2"
+ ],
+ "𣰥": [
+ "ㄇㄥ2"
+ ],
+ "𣰦": [
+ "ㄖㄢ2",
+ "ㄍㄢ1"
+ ],
+ "𣰨": [
+ "ㄅㄧㄣ1"
+ ],
+ "𣰩": [
+ "ㄔㄠ2"
+ ],
+ "𣰬": [
+ "ㄉㄨ2"
+ ],
+ "𣰶": [
+ "ㄖㄤ2",
+ "ㄋㄤ3"
+ ],
+ "𣰷": [
+ "ㄒㄧㄢ1"
+ ],
+ "𣰺": [
+ "ㄊㄠ2"
+ ],
+ "𣰻": [
+ "ㄑㄩ2"
+ ],
+ "𣰼": [
+ "ㄋㄧㄝ4"
+ ],
+ "𣰿": [
+ "ㄕㄨ1"
+ ],
+ "𣱀": [
+ "ㄌㄨ3"
+ ],
+ "𣱂": [
+ "ㄎㄨㄣ4"
+ ],
+ "𣱈": [
+ "ㄇㄧㄣ2"
+ ],
+ "𣱉": [
+ "ㄇㄧㄣ3"
+ ],
+ "𣱍": [
+ "ㄉㄢ4"
+ ],
+ "𣱐": [
+ "ㄧㄣ4",
+ "ㄓ4"
+ ],
+ "𣱓": [
+ "ㄒㄧㄠ4",
+ "ㄏㄠ4"
+ ],
+ "𣱗": [
+ "ㄐㄧ4"
+ ],
+ "𣱜": [
+ "ㄧㄣ1"
+ ],
+ "𣱦": [
+ "ㄈㄣ1"
+ ],
+ "𣱧": [
+ "ㄓㄨㄥ4"
+ ],
+ "𣱫": [
+ "ㄍㄨ3"
+ ],
+ "𣱱": [
+ "ㄔㄚ2"
+ ],
+ "𣱳": [
+ "ㄌㄧㄡ2"
+ ],
+ "𣱶": [
+ "ㄅㄨ3"
+ ],
+ "𣱺": [
+ "ㄆㄚ1"
+ ],
+ "𣱻": [
+ "ㄙ4"
+ ],
+ "𣱼": [
+ "ㄉㄠ1"
+ ],
+ "𣱽": [
+ "ㄓㄣ3"
+ ],
+ "𣲀": [
+ "ㄕㄢ1"
+ ],
+ "𣲂": [
+ "ㄔㄨㄞ3"
+ ],
+ "𣲄": [
+ "ㄐㄧㄡ3"
+ ],
+ "𣲊": [
+ "ㄎㄜ4"
+ ],
+ "𣲋": [
+ "ㄔ2"
+ ],
+ "𣲑": [
+ "ㄏㄨ4",
+ "ㄔ2",
+ "ㄏㄜ2",
+ "ㄏㄨ2"
+ ],
+ "𣲒": [
+ "ㄌㄧ4",
+ "ㄌㄜ4"
+ ],
+ "𣲓": [
+ "ㄕㄚ1"
+ ],
+ "𣲖": [
+ "ㄆㄞ4",
+ "ㄌㄧㄡ2",
+ "ㄍㄨ1"
+ ],
+ "𣲗": [
+ "ㄨㄟ2"
+ ],
+ "𣲘": [
+ "ㄨ3"
+ ],
+ "𣲜": [
+ "ㄧㄥ2"
+ ],
+ "𣲡": [
+ "ㄕㄚ1",
+ "ㄐㄧ2",
+ "ㄐㄧㄝ2"
+ ],
+ "𣲢": [
+ "ㄉㄧ1"
+ ],
+ "𣲥": [
+ "ㄉㄢ1"
+ ],
+ "𣲱": [
+ "ㄊㄨ1"
+ ],
+ "𣲲": [
+ "ㄏㄜ2"
+ ],
+ "𣲳": [
+ "ㄆㄛ3"
+ ],
+ "𣲵": [
+ "ㄓ3"
+ ],
+ "𣲶": [
+ "ㄋㄧㄡ3"
+ ],
+ "𣲷": [
+ "ㄋㄧ4"
+ ],
+ "𣲽": [
+ "ㄖㄨㄥ3"
+ ],
+ "𣲾": [
+ "ㄍㄨㄞ4"
+ ],
+ "𣳀": [
+ "ㄓ2"
+ ],
+ "𣳃": [
+ "ㄐㄧ2"
+ ],
+ "𣳜": [
+ "ㄈㄢ4"
+ ],
+ "𣳟": [
+ "ㄐㄧㄝ2"
+ ],
+ "𣳠": [
+ "ㄏㄞ3",
+ "ㄇㄨ3"
+ ],
+ "𣳤": [
+ "ㄓㄢ4"
+ ],
+ "𣳦": [
+ "ㄒㄧ4",
+ "ㄋㄠ2"
+ ],
+ "𣳩": [
+ "ㄗ1"
+ ],
+ "𣳬": [
+ "ㄒㄧ2"
+ ],
+ "𣳭": [
+ "ㄆㄧㄠ4"
+ ],
+ "𣳰": [
+ "ㄅㄣ1"
+ ],
+ "𣳲": [
+ "ㄐㄧㄢ3"
+ ],
+ "𣴓": [
+ "ㄐㄧㄢ4"
+ ],
+ "𣴖": [
+ "ㄗㄚ2"
+ ],
+ "𣴞": [
+ "ㄅㄣ4"
+ ],
+ "𣴟": [
+ "ㄇㄠ4",
+ "ㄏㄨㄢ3"
+ ],
+ "𣴢": [
+ "ㄗㄠ4"
+ ],
+ "𣴣": [
+ "ㄓㄨㄤ4"
+ ],
+ "𣴥": [
+ "ㄎㄨㄤ2"
+ ],
+ "𣴨": [
+ "ㄅㄧ2"
+ ],
+ "𣴪": [
+ "ㄆㄞ4",
+ "ㄆㄧ4"
+ ],
+ "𣴼": [
+ "ㄇㄠ4"
+ ],
+ "𣴽": [
+ "ㄊㄢ4"
+ ],
+ "𣵞": [
+ "ㄊㄨㄣ3"
+ ],
+ "𣵟": [
+ "ㄌㄨㄛ3"
+ ],
+ "𣵢": [
+ "ㄊㄢ1"
+ ],
+ "𣵱": [
+ "ㄢ2"
+ ],
+ "𣵷": [
+ "ㄏㄢ2",
+ "ㄍㄢ4"
+ ],
+ "𣵸": [
+ "ㄓㄨ2"
+ ],
+ "𣵺": [
+ "ㄉㄨㄛ4",
+ "ㄊㄨㄛ2"
+ ],
+ "𣵻": [
+ "ㄉㄨㄛ4",
+ "ㄊㄨㄛ2"
+ ],
+ "𣵼": [
+ "ㄍㄢ4"
+ ],
+ "𣶆": [
+ "ㄑㄩㄥ4"
+ ],
+ "𣶈": [
+ "ㄨㄤ3",
+ "ㄇㄤ3"
+ ],
+ "𣶊": [
+ "ㄇㄛ4"
+ ],
+ "𣶋": [
+ "ㄓㄜ4"
+ ],
+ "𣶌": [
+ "ㄨㄣ3"
+ ],
+ "𣶍": [
+ "ㄓㄨㄤ4"
+ ],
+ "𣶏": [
+ "ㄐㄧㄝ1",
+ "ㄉㄧㄝ1"
+ ],
+ "𣶐": [
+ "ㄆㄠ4"
+ ],
+ "𣶘": [
+ "ㄙㄨ4"
+ ],
+ "𣶝": [
+ "ㄐㄩ4"
+ ],
+ "𣶠": [
+ "ㄑㄧ1"
+ ],
+ "𣶡": [
+ "ㄘㄢ4"
+ ],
+ "𣶣": [
+ "ㄊㄨㄢ2"
+ ],
+ "𣶤": [
+ "ㄕㄚ1"
+ ],
+ "𣶦": [
+ "ㄊㄨㄛ2"
+ ],
+ "𣶩": [
+ "ㄏㄨㄚ4"
+ ],
+ "𣶫": [
+ "ㄧ4"
+ ],
+ "𣷠": [
+ "ㄇㄧㄣ2"
+ ],
+ "𣷡": [
+ "ㄓㄨㄥ1"
+ ],
+ "𣷥": [
+ "ㄕㄨㄛ4"
+ ],
+ "𣷩": [
+ "ㄧ4"
+ ],
+ "𣷪": [
+ "ㄨㄤ3"
+ ],
+ "𣷫": [
+ "ㄠ2"
+ ],
+ "𣷶": [
+ "ㄙㄨ3"
+ ],
+ "𣷾": [
+ "ㄍㄨㄟ3"
+ ],
+ "𣷿": [
+ "ㄊㄨㄛ3"
+ ],
+ "𣸀": [
+ "ㄏㄨㄟ3"
+ ],
+ "𣸃": [
+ "ㄒㄩ4"
+ ],
+ "𣸄": [
+ "ㄗㄢ3"
+ ],
+ "𣸆": [
+ "ㄗ3"
+ ],
+ "𣸇": [
+ "ㄅㄧㄢ4"
+ ],
+ "𣸉": [
+ "ㄉㄚ2"
+ ],
+ "𣸊": [
+ "ㄧㄣ1"
+ ],
+ "𣸋": [
+ "ㄑㄩㄢ3"
+ ],
+ "𣸎": [
+ "ㄏㄨㄞ4"
+ ],
+ "𣸏": [
+ "ㄋㄚ2"
+ ],
+ "𣸐": [
+ "ㄗㄚ2"
+ ],
+ "𣸒": [
+ "ㄊㄧ2"
+ ],
+ "𣸘": [
+ "ㄧ2"
+ ],
+ "𣸙": [
+ "ㄊㄢ1"
+ ],
+ "𣸚": [
+ "ㄕㄜ2"
+ ],
+ "𣸛": [
+ "ㄕㄨㄛ4"
+ ],
+ "𣸝": [
+ "ㄒㄧㄥ2"
+ ],
+ "𣸠": [
+ "ㄧㄡ3"
+ ],
+ "𣸣": [
+ "ㄈㄣ2"
+ ],
+ "𣹇": [
+ "ㄎㄜ4"
+ ],
+ "𣹋": [
+ "ㄈㄨ2"
+ ],
+ "𣹒": [
+ "ㄇㄧㄣ3"
+ ],
+ "𣹚": [
+ "ㄆㄧ4"
+ ],
+ "𣹜": [
+ "ㄐㄧ2"
+ ],
+ "𣹝": [
+ "ㄑㄧㄠ4",
+ "ㄒㄧㄠ4"
+ ],
+ "𣹞": [
+ "ㄓㄨㄥ3"
+ ],
+ "𣹟": [
+ "ㄍㄢ4"
+ ],
+ "𣹠": [
+ "ㄩㄢ1"
+ ],
+ "𣹡": [
+ "ㄔ2"
+ ],
+ "𣹥": [
+ "ㄑㄧㄢ4"
+ ],
+ "𣹧": [
+ "ㄗㄨㄛ2",
+ "ㄓㄚ4"
+ ],
+ "𣹩": [
+ "ㄒㄧㄝ2"
+ ],
+ "𣹪": [
+ "ㄇㄠ2"
+ ],
+ "𣹬": [
+ "ㄏㄨ2"
+ ],
+ "𣹮": [
+ "ㄆㄧ4"
+ ],
+ "𣹯": [
+ "ㄒㄩㄣ4"
+ ],
+ "𣹱": [
+ "ㄒㄧㄚ2"
+ ],
+ "𣹲": [
+ "ㄊㄧ2"
+ ],
+ "𣹵": [
+ "ㄋㄚ4"
+ ],
+ "𣹶": [
+ "ㄔㄨㄚ3"
+ ],
+ "𣺀": [
+ "ㄨ3"
+ ],
+ "𣺬": [
+ "ㄏㄨㄤ1"
+ ],
+ "𣺭": [
+ "ㄒㄩㄝ4"
+ ],
+ "𣺮": [
+ "ㄊㄠ4"
+ ],
+ "𣺰": [
+ "ㄑㄧㄠ4"
+ ],
+ "𣺳": [
+ "ㄐㄧㄠ1"
+ ],
+ "𣺼": [
+ "ㄉㄤ3"
+ ],
+ "𣺽": [
+ "ㄅㄞ4"
+ ],
+ "𣻍": [
+ "ㄉㄤ4",
+ "ㄒㄧㄤ4"
+ ],
+ "𣻎": [
+ "ㄎㄡ4"
+ ],
+ "𣻐": [
+ "ㄐㄩ1"
+ ],
+ "𣻑": [
+ "ㄕㄚ1",
+ "ㄕㄞ4"
+ ],
+ "𣻒": [
+ "ㄐㄧㄥ1"
+ ],
+ "𣻕": [
+ "ㄇㄛ2"
+ ],
+ "𣻖": [
+ "ㄋㄡ2"
+ ],
+ "𣻘": [
+ "ㄕㄨㄛ4"
+ ],
+ "𣻚": [
+ "ㄕㄨ4"
+ ],
+ "𣻛": [
+ "ㄓㄨㄤ1"
+ ],
+ "𣻜": [
+ "ㄈㄨ2"
+ ],
+ "𣻟": [
+ "ㄗㄤ1"
+ ],
+ "𣻠": [
+ "ㄒㄧㄝ2"
+ ],
+ "𣻡": [
+ "ㄌㄤ4"
+ ],
+ "𣻢": [
+ "ㄊㄨㄥ1"
+ ],
+ "𣻩": [
+ "ㄓㄜ2"
+ ],
+ "𣻬": [
+ "ㄘㄢ4"
+ ],
+ "𣻮": [
+ "ㄩㄝ4"
+ ],
+ "𣻱": [
+ "ㄓㄡ4"
+ ],
+ "𣼚": [
+ "ㄊㄢ1"
+ ],
+ "𣼞": [
+ "ㄧㄢ2"
+ ],
+ "𣼟": [
+ "ㄌㄨ4"
+ ],
+ "𣼠": [
+ "ㄧㄢ3"
+ ],
+ "𣼦": [
+ "ㄗㄜ2"
+ ],
+ "𣼧": [
+ "ㄕㄨㄞ4"
+ ],
+ "𣽅": [
+ "ㄍㄨㄛ1"
+ ],
+ "𣽆": [
+ "ㄓㄨ2"
+ ],
+ "𣽈": [
+ "ㄖㄨ2",
+ "ㄖㄨㄢ2"
+ ],
+ "𣽉": [
+ "ㄖㄨ2"
+ ],
+ "𣽌": [
+ "ㄎㄢ3"
+ ],
+ "𣽍": [
+ "ㄐㄧ4"
+ ],
+ "𣽎": [
+ "ㄍㄠ1",
+ "ㄗㄜ2",
+ "ㄏㄠ2"
+ ],
+ "𣽒": [
+ "ㄒㄧㄝ4"
+ ],
+ "𣽕": [
+ "ㄡ4"
+ ],
+ "𣽖": [
+ "ㄐㄧㄢ1"
+ ],
+ "𣽚": [
+ "ㄓ2"
+ ],
+ "𣽛": [
+ "ㄓㄚ2"
+ ],
+ "𣽝": [
+ "ㄏㄨㄥ3"
+ ],
+ "𣽟": [
+ "ㄎㄨㄢ3"
+ ],
+ "𣽡": [
+ "ㄅㄛ2"
+ ],
+ "𣽤": [
+ "ㄙㄜ4"
+ ],
+ "𣽥": [
+ "ㄢ4"
+ ],
+ "𣽦": [
+ "ㄐㄧㄢ4"
+ ],
+ "𣽨": [
+ "ㄊㄥ2"
+ ],
+ "𣽫": [
+ "ㄙㄨㄥ1"
+ ],
+ "𣽭": [
+ "ㄇㄥ4"
+ ],
+ "𣽮": [
+ "ㄧㄣ2"
+ ],
+ "𣽯": [
+ "ㄊㄢ1"
+ ],
+ "𣽰": [
+ "ㄍㄨㄛ1"
+ ],
+ "𣽳": [
+ "ㄖㄨㄢ2"
+ ],
+ "𣽴": [
+ "ㄨㄟ4"
+ ],
+ "𣽷": [
+ "ㄙ4"
+ ],
+ "𣾤": [
+ "ㄑㄧ4"
+ ],
+ "𣾦": [
+ "ㄓㄤ3"
+ ],
+ "𣿅": [
+ "ㄉㄨㄥ3"
+ ],
+ "𣿆": [
+ "ㄈㄨ2"
+ ],
+ "𣿇": [
+ "ㄕㄣ3"
+ ],
+ "𣿈": [
+ "ㄙㄨ4"
+ ],
+ "𣿉": [
+ "ㄧ4"
+ ],
+ "𣿊": [
+ "ㄌㄧㄢ4"
+ ],
+ "𣿌": [
+ "ㄏㄜ2"
+ ],
+ "𣿎": [
+ "ㄓㄣ1"
+ ],
+ "𣿐": [
+ "ㄗㄜ2"
+ ],
+ "𣿒": [
+ "ㄘㄨㄟ3"
+ ],
+ "𣿓": [
+ "ㄘㄨㄟ3"
+ ],
+ "𣿝": [
+ "ㄈㄥ4"
+ ],
+ "𣿞": [
+ "ㄌㄧ3"
+ ],
+ "𣿟": [
+ "ㄎㄡ4"
+ ],
+ "𣿣": [
+ "ㄒㄧㄠ4"
+ ],
+ "𣿤": [
+ "ㄧㄡ3"
+ ],
+ "𤀃": [
+ "ㄏㄠ2"
+ ],
+ "𤀉": [
+ "ㄏㄢ4"
+ ],
+ "𤀊": [
+ "ㄎㄣ3"
+ ],
+ "𤀝": [
+ "ㄩ4"
+ ],
+ "𤀣": [
+ "ㄏㄨㄢ3"
+ ],
+ "𤀤": [
+ "ㄙㄨㄛ1",
+ "ㄕㄢ4",
+ "ㄕㄨㄞ4"
+ ],
+ "𤀦": [
+ "ㄌㄚ4"
+ ],
+ "𤀨": [
+ "ㄉㄡ4"
+ ],
+ "𤀩": [
+ "ㄐㄧㄢ4"
+ ],
+ "𤀪": [
+ "ㄆㄛ1"
+ ],
+ "𤀫": [
+ "ㄅㄧㄢ3"
+ ],
+ "𤀰": [
+ "ㄒㄩㄝ4"
+ ],
+ "𤀲": [
+ "ㄅㄧㄢ4"
+ ],
+ "𤀷": [
+ "ㄨㄟ4"
+ ],
+ "𤁡": [
+ "ㄉㄢ4"
+ ],
+ "𤁢": [
+ "ㄐㄧㄝ2"
+ ],
+ "𤁣": [
+ "ㄅㄞ4"
+ ],
+ "𤁥": [
+ "ㄋㄧㄢ3"
+ ],
+ "𤁦": [
+ "ㄒㄧㄢ4"
+ ],
+ "𤁧": [
+ "ㄙㄜ4"
+ ],
+ "𤁪": [
+ "ㄏㄨㄚ2"
+ ],
+ "𤁫": [
+ "ㄔㄨㄚ1"
+ ],
+ "𤁮": [
+ "ㄡ4"
+ ],
+ "𤁯": [
+ "ㄌㄧㄝ4"
+ ],
+ "𤁰": [
+ "ㄉㄧ2"
+ ],
+ "𤁱": [
+ "ㄘㄞ4"
+ ],
+ "𤁳": [
+ "ㄓㄚ2"
+ ],
+ "𤁵": [
+ "ㄌㄩ2"
+ ],
+ "𤁹": [
+ "ㄏㄨㄛ4"
+ ],
+ "𤁼": [
+ "ㄌㄧ4"
+ ],
+ "𤁽": [
+ "ㄧㄥ3"
+ ],
+ "𤁿": [
+ "ㄨㄟ3"
+ ],
+ "𤂀": [
+ "ㄅㄧ4"
+ ],
+ "𤂁": [
+ "ㄍㄨㄛ2"
+ ],
+ "𤂃": [
+ "ㄆㄧ4"
+ ],
+ "𤂆": [
+ "ㄅㄧㄠ1"
+ ],
+ "𤂠": [
+ "ㄧㄢ3"
+ ],
+ "𤂤": [
+ "ㄓㄨㄢ4"
+ ],
+ "𤂲": [
+ "ㄏㄨㄥ2"
+ ],
+ "𤂶": [
+ "ㄌㄧㄣ4"
+ ],
+ "𤂷": [
+ "ㄜ4"
+ ],
+ "𤂹": [
+ "ㄧㄣ3"
+ ],
+ "𤂺": [
+ "ㄌㄢ4"
+ ],
+ "𤂼": [
+ "ㄧㄠ4"
+ ],
+ "𤂿": [
+ "ㄒㄩㄢ4"
+ ],
+ "𤃀": [
+ "ㄌㄧ4"
+ ],
+ "𤃨": [
+ "ㄌㄢ4"
+ ],
+ "𤃩": [
+ "ㄌㄧㄥ2"
+ ],
+ "𤃪": [
+ "ㄒㄧ1"
+ ],
+ "𤃫": [
+ "ㄏㄨㄥ1"
+ ],
+ "𤃭": [
+ "ㄐㄧㄠ3"
+ ],
+ "𤃮": [
+ "ㄓㄨㄛ2"
+ ],
+ "𤃲": [
+ "ㄓ2"
+ ],
+ "𤃵": [
+ "ㄅㄛ2"
+ ],
+ "𤃶": [
+ "ㄊㄥ1"
+ ],
+ "𤃷": [
+ "ㄢ3"
+ ],
+ "𤃺": [
+ "ㄒㄩㄣ2"
+ ],
+ "𤃻": [
+ "ㄌㄟ3"
+ ],
+ "𤃼": [
+ "ㄗㄤ1"
+ ],
+ "𤃽": [
+ "ㄏㄨㄟ3"
+ ],
+ "𤄎": [
+ "ㄒㄧ4"
+ ],
+ "𤄏": [
+ "ㄏㄨㄥ2"
+ ],
+ "𤄑": [
+ "ㄈㄢ4"
+ ],
+ "𤄒": [
+ "ㄐㄧㄢ3"
+ ],
+ "𤄓": [
+ "ㄘㄨㄥ2"
+ ],
+ "𤄔": [
+ "ㄗㄚ2"
+ ],
+ "𤄖": [
+ "ㄘㄚ1",
+ "ㄗㄚ2"
+ ],
+ "𤄘": [
+ "ㄧㄡ1"
+ ],
+ "𤄛": [
+ "ㄉㄨㄟ4"
+ ],
+ "𤄜": [
+ "ㄆㄢ1"
+ ],
+ "𤄥": [
+ "ㄊㄚ4"
+ ],
+ "𤄧": [
+ "ㄆㄢ4"
+ ],
+ "𤄫": [
+ "ㄈㄢ1"
+ ],
+ "𤄬": [
+ "ㄒㄧ1"
+ ],
+ "𤄶": [
+ "ㄧㄠ4",
+ "ㄕㄨㄛ4"
+ ],
+ "𤄷": [
+ "ㄌㄨㄛ2"
+ ],
+ "𤄺": [
+ "ㄅㄧㄢ1"
+ ],
+ "𤄼": [
+ "ㄐㄧㄣ4"
+ ],
+ "𤄽": [
+ "ㄌㄧ4"
+ ],
+ "𤅊": [
+ "ㄧㄢ4"
+ ],
+ "𤅋": [
+ "ㄉㄡ4"
+ ],
+ "𤅎": [
+ "ㄇㄢ4"
+ ],
+ "𤅐": [
+ "ㄍㄨㄥ1"
+ ],
+ "𤅑": [
+ "ㄖㄤ3"
+ ],
+ "𤅒": [
+ "ㄘㄢ4"
+ ],
+ "𤅣": [
+ "ㄇㄣ2"
+ ],
+ "𤅱": [
+ "ㄍㄨ3"
+ ],
+ "𤅲": [
+ "ㄕㄨㄢ4"
+ ],
+ "𤅸": [
+ "ㄧㄢ2",
+ "ㄧㄢ4"
+ ],
+ "𤅹": [
+ "ㄅㄧ4"
+ ],
+ "𤆀": [
+ "ㄅㄧㄠ1"
+ ],
+ "𤆁": [
+ "ㄔㄥ2"
+ ],
+ "𤆂": [
+ "ㄎㄨㄟ4"
+ ],
+ "𤆄": [
+ "ㄏㄨㄛ3",
+ "ㄗㄞ1"
+ ],
+ "𤆍": [
+ "ㄔ4"
+ ],
+ "𤆏": [
+ "ㄨㄛ4"
+ ],
+ "𤆑": [
+ "ㄘㄡ4"
+ ],
+ "𤆒": [
+ "ㄓ4"
+ ],
+ "𤆙": [
+ "ㄕㄨㄟ3"
+ ],
+ "𤆜": [
+ "ㄍㄨㄚ4"
+ ],
+ "𤆝": [
+ "ㄆㄨ1"
+ ],
+ "𤆞": [
+ "ㄒㄩ4"
+ ],
+ "𤆟": [
+ "ㄙ1"
+ ],
+ "𤆡": [
+ "ㄨ3"
+ ],
+ "𤆮": [
+ "ㄈㄨ1"
+ ],
+ "𤆰": [
+ "ㄕ4"
+ ],
+ "𤆳": [
+ "ㄏㄨㄟ4"
+ ],
+ "𤆴": [
+ "ㄏㄨㄤ1"
+ ],
+ "𤆵": [
+ "ㄆㄚ1"
+ ],
+ "𤆼": [
+ "ㄓㄨ3"
+ ],
+ "𤆾": [
+ "ㄧ2"
+ ],
+ "𤇃": [
+ "ㄌㄧ4"
+ ],
+ "𤇄": [
+ "ㄕㄢ3"
+ ],
+ "𤇜": [
+ "ㄇㄧㄣ2"
+ ],
+ "𤇞": [
+ "ㄍㄜ1"
+ ],
+ "𤇠": [
+ "ㄏㄨ1"
+ ],
+ "𤇯": [
+ "ㄣ1",
+ "ㄠ1"
+ ],
+ "𤇰": [
+ "ㄈㄚ2"
+ ],
+ "𤇳": [
+ "ㄒㄩ4",
+ "ㄒㄩㄝ4"
+ ],
+ "𤇴": [
+ "ㄧ2",
+ "ㄒㄧ1"
+ ],
+ "𤇾": [
+ "ㄧㄥ2"
+ ],
+ "𤈔": [
+ "ㄔ2"
+ ],
+ "𤈙": [
+ "ㄧ2"
+ ],
+ "𤈥": [
+ "ㄉㄧ2"
+ ],
+ "𤈦": [
+ "ㄏㄨㄟ3",
+ "ㄇㄟ2"
+ ],
+ "𤈧": [
+ "ㄏㄜ2"
+ ],
+ "𤈩": [
+ "ㄓㄚ3"
+ ],
+ "𤈶": [
+ "ㄩㄣ2"
+ ],
+ "𤈷": [
+ "ㄒㄧㄢ1"
+ ],
+ "𤉌": [
+ "ㄒㄧㄢ2"
+ ],
+ "𤉍": [
+ "ㄌㄠ4"
+ ],
+ "𤉎": [
+ "ㄕㄠ4"
+ ],
+ "𤉏": [
+ "ㄕ4"
+ ],
+ "𤉐": [
+ "ㄓㄨㄛ2"
+ ],
+ "𤉤": [
+ "ㄅㄧㄝ1"
+ ],
+ "𤉥": [
+ "ㄐㄧㄡ3"
+ ],
+ "𤉦": [
+ "ㄨㄛ1"
+ ],
+ "𤉧": [
+ "ㄐㄧㄠ3"
+ ],
+ "𤉨": [
+ "ㄈㄨ2"
+ ],
+ "𤉪": [
+ "ㄒㄧㄤ1"
+ ],
+ "𤉫": [
+ "ㄎㄞ4"
+ ],
+ "𤊲": [
+ "ㄋㄠ3"
+ ],
+ "𤊴": [
+ "ㄏㄨㄛ4"
+ ],
+ "𤊵": [
+ "ㄐㄧ2"
+ ],
+ "𤊶": [
+ "ㄌㄚ4"
+ ],
+ "𤊻": [
+ "ㄈㄡ1"
+ ],
+ "𤊼": [
+ "ㄕㄢ3"
+ ],
+ "𤊽": [
+ "ㄌㄧㄠ4",
+ "ㄌㄧㄠ3"
+ ],
+ "𤊾": [
+ "ㄇㄧㄝ4"
+ ],
+ "𤊿": [
+ "ㄔㄜ4"
+ ],
+ "𤋂": [
+ "ㄇㄛ2"
+ ],
+ "𤋏": [
+ "ㄌㄡ2"
+ ],
+ "𤋨": [
+ "ㄉㄨㄛ4"
+ ],
+ "𤋫": [
+ "ㄋㄠ3"
+ ],
+ "𤋭": [
+ "ㄐㄧ1"
+ ],
+ "𤋰": [
+ "ㄓㄨ4"
+ ],
+ "𤌂": [
+ "ㄙㄨ4"
+ ],
+ "𤌃": [
+ "ㄉㄨㄛ4"
+ ],
+ "𤌇": [
+ "ㄐㄩㄥ3"
+ ],
+ "𤌊": [
+ "ㄗㄞ3"
+ ],
+ "𤌋": [
+ "ㄏㄨㄟ3"
+ ],
+ "𤌌": [
+ "ㄧㄥ3"
+ ],
+ "𤌍": [
+ "ㄏㄨ2"
+ ],
+ "𤌎": [
+ "ㄌㄧㄣ4",
+ "ㄌㄧㄣ3"
+ ],
+ "𤌏": [
+ "ㄨㄥ3"
+ ],
+ "𤌐": [
+ "ㄏㄢ4"
+ ],
+ "𤌔": [
+ "ㄋㄢ2"
+ ],
+ "𤌷": [
+ "ㄒㄧ4"
+ ],
+ "𤌹": [
+ "ㄍㄢ4"
+ ],
+ "𤌾": [
+ "ㄏㄜ4"
+ ],
+ "𤌿": [
+ "ㄐㄧ1"
+ ],
+ "𤍀": [
+ "ㄒㄧㄤ3"
+ ],
+ "𤍁": [
+ "ㄕㄚ1"
+ ],
+ "𤍐": [
+ "ㄊㄨㄟ4"
+ ],
+ "𤍒": [
+ "ㄓㄠ1"
+ ],
+ "𤍓": [
+ "ㄕㄨ4"
+ ],
+ "𤍕": [
+ "ㄧㄡ3"
+ ],
+ "𤍖": [
+ "ㄐㄧㄢ1"
+ ],
+ "𤍜": [
+ "ㄗㄠ4"
+ ],
+ "𤍠": [
+ "ㄖㄜ4"
+ ],
+ "𤍤": [
+ "ㄓㄤ1"
+ ],
+ "𤍽": [
+ "ㄖㄨㄛ4"
+ ],
+ "𤎄": [
+ "ㄧㄢ1"
+ ],
+ "𤎋": [
+ "ㄘㄨㄟ4"
+ ],
+ "𤎗": [
+ "ㄐㄧ2"
+ ],
+ "𤎘": [
+ "ㄕㄤ1"
+ ],
+ "𤎣": [
+ "ㄜ4"
+ ],
+ "𤎤": [
+ "ㄌㄠ2"
+ ],
+ "𤎥": [
+ "ㄊㄢ3",
+ "ㄔㄢ1"
+ ],
+ "𤎧": [
+ "ㄓㄨ4"
+ ],
+ "𤎭": [
+ "ㄌㄧㄣ3",
+ "ㄧㄣ3"
+ ],
+ "𤎯": [
+ "ㄗㄥ1"
+ ],
+ "𤎱": [
+ "ㄐㄩㄢ3"
+ ],
+ "𤎲": [
+ "ㄏㄨ1"
+ ],
+ "𤏗": [
+ "ㄕㄣ3"
+ ],
+ "𤏘": [
+ "ㄏㄨㄛ4"
+ ],
+ "𤏜": [
+ "ㄎㄨㄟ4"
+ ],
+ "𤏱": [
+ "ㄔㄨ4"
+ ],
+ "𤏲": [
+ "ㄓㄡ4"
+ ],
+ "𤏶": [
+ "ㄠ1"
+ ],
+ "𤏸": [
+ "ㄓㄨㄛ2"
+ ],
+ "𤏽": [
+ "ㄒㄧㄥ1"
+ ],
+ "𤏿": [
+ "ㄇㄧㄝ4"
+ ],
+ "𤐀": [
+ "ㄏㄨ1"
+ ],
+ "𤐔": [
+ "ㄊㄢ2"
+ ],
+ "𤐙": [
+ "ㄅㄧ4"
+ ],
+ "𤐣": [
+ "ㄉㄧㄥ3"
+ ],
+ "𤐩": [
+ "ㄎㄞ4"
+ ],
+ "𤐫": [
+ "ㄅㄧㄠ1"
+ ],
+ "𤐰": [
+ "ㄏㄨㄛ4"
+ ],
+ "𤐱": [
+ "ㄌㄧㄝ4"
+ ],
+ "𤐲": [
+ "ㄘㄨㄢ4"
+ ],
+ "𤑃": [
+ "ㄒㄧㄢ4"
+ ],
+ "𤑄": [
+ "ㄖㄜ4"
+ ],
+ "𤑓": [
+ "ㄩㄝ4"
+ ],
+ "𤑕": [
+ "ㄒㄩㄣ1"
+ ],
+ "𤑗": [
+ "ㄌㄧㄠ3",
+ "ㄓㄠ1"
+ ],
+ "𤑣": [
+ "ㄕㄚ1"
+ ],
+ "𤑦": [
+ "ㄕ4"
+ ],
+ "𤑪": [
+ "ㄒㄧㄝ4"
+ ],
+ "𤑳": [
+ "ㄒㄧㄠ1"
+ ],
+ "𤑷": [
+ "ㄧㄝ2"
+ ],
+ "𤑸": [
+ "ㄌㄢ3"
+ ],
+ "𤑹": [
+ "ㄧ4"
+ ],
+ "𤑿": [
+ "ㄌㄧㄢ3"
+ ],
+ "𤒔": [
+ "ㄅㄛ2"
+ ],
+ "𤒕": [
+ "ㄘㄠ1"
+ ],
+ "𤒝": [
+ "ㄧㄠ4"
+ ],
+ "𤒦": [
+ "ㄌㄧㄢ4",
+ "ㄧㄢ4"
+ ],
+ "𤒻": [
+ "ㄊㄚ4"
+ ],
+ "𤓑": [
+ "ㄐㄧ4"
+ ],
+ "𤓔": [
+ "ㄒㄧ1"
+ ],
+ "𤓕": [
+ "ㄓ4"
+ ],
+ "𤓚": [
+ "ㄒㄧ1"
+ ],
+ "𤓝": [
+ "ㄩㄝ4"
+ ],
+ "𤓤": [
+ "ㄒㄧㄢ3"
+ ],
+ "𤓦": [
+ "ㄓㄨㄛ4"
+ ],
+ "𤓯": [
+ "ㄓㄤ3",
+ "ㄐㄩ2"
+ ],
+ "𤓵": [
+ "ㄗㄨ3"
+ ],
+ "𤓷": [
+ "ㄋㄚ2"
+ ],
+ "𤓾": [
+ "ㄉㄠ4"
+ ],
+ "𤓿": [
+ "ㄌㄧㄝ4"
+ ],
+ "𤔀": [
+ "ㄋㄚ2"
+ ],
+ "𤔉": [
+ "ㄆㄠ2"
+ ],
+ "𤔋": [
+ "ㄐㄩ4"
+ ],
+ "𤔔": [
+ "ㄌㄨㄢ4"
+ ],
+ "𤔖": [
+ "ㄌㄨㄛ3"
+ ],
+ "𤔙": [
+ "ㄕㄨㄚ3"
+ ],
+ "𤔚": [
+ "ㄕㄤ4"
+ ],
+ "𤔝": [
+ "ㄌㄨㄛ3"
+ ],
+ "𤔟": [
+ "ㄈㄣ1"
+ ],
+ "𤔣": [
+ "ㄅㄠ4"
+ ],
+ "𤔨": [
+ "ㄌㄧ4"
+ ],
+ "𤔫": [
+ "ㄒㄩㄥ4"
+ ],
+ "𤔶": [
+ "ㄉㄤ1"
+ ],
+ "𤕀": [
+ "ㄔㄥ4"
+ ],
+ "𤕄": [
+ "ㄓㄤ3"
+ ],
+ "𤕇": [
+ "ㄙㄡ3"
+ ],
+ "𤕊": [
+ "ㄕㄣ2"
+ ],
+ "𤕒": [
+ "ㄍㄜ3"
+ ],
+ "𤕘": [
+ "ㄩ1",
+ "ㄨ4"
+ ],
+ "𤕚": [
+ "ㄏㄨㄟ1"
+ ],
+ "𤕛": [
+ "ㄔㄜ4"
+ ],
+ "𤕝": [
+ "ㄐㄧㄠ4",
+ "ㄅㄛ2"
+ ],
+ "𤕞": [
+ "ㄓㄨ4"
+ ],
+ "𤕟": [
+ "ㄕㄨ1"
+ ],
+ "𤕢": [
+ "ㄒㄧㄠ2"
+ ],
+ "𤕦": [
+ "ㄋㄧㄥ2"
+ ],
+ "𤕭": [
+ "ㄐㄧㄤ1"
+ ],
+ "𤕯": [
+ "ㄐㄧㄤ1",
+ "ㄓㄨㄤ4"
+ ],
+ "𤕷": [
+ "ㄉㄧㄠ4"
+ ],
+ "𤕽": [
+ "ㄑㄧㄤ2"
+ ],
+ "𤕾": [
+ "ㄑㄧㄡ2",
+ "ㄈㄨ3"
+ ],
+ "𤖀": [
+ "ㄈㄥ1"
+ ],
+ "𤖆": [
+ "ㄓㄢ4"
+ ],
+ "𤖇": [
+ "ㄎㄜ1"
+ ],
+ "𤖒": [
+ "ㄉㄧㄝ2"
+ ],
+ "𤖓": [
+ "ㄗㄜ2"
+ ],
+ "𤖖": [
+ "ㄍㄨㄤ1"
+ ],
+ "𤖗": [
+ "ㄙㄜ4"
+ ],
+ "𤖘": [
+ "ㄈㄣ4",
+ "ㄈㄣ2"
+ ],
+ "𤖛": [
+ "ㄐㄧㄤ3"
+ ],
+ "𤖝": [
+ "ㄧㄢ2"
+ ],
+ "𤖞": [
+ "ㄓ4"
+ ],
+ "𤖢": [
+ "ㄌㄧ4"
+ ],
+ "𤖦": [
+ "ㄌㄧㄥ2"
+ ],
+ "𤖪": [
+ "ㄧ2"
+ ],
+ "𤖬": [
+ "ㄑㄩ3"
+ ],
+ "𤖭": [
+ "ㄆㄢ2"
+ ],
+ "𤖮": [
+ "ㄍㄡ1"
+ ],
+ "𤖰": [
+ "ㄐㄧㄚ3"
+ ],
+ "𤖱": [
+ "ㄏㄜ2"
+ ],
+ "𤖳": [
+ "ㄆㄥ4"
+ ],
+ "𤖵": [
+ "ㄐㄩ4"
+ ],
+ "𤖷": [
+ "ㄔㄜ4"
+ ],
+ "𤖺": [
+ "ㄌㄧㄝ4"
+ ],
+ "𤖻": [
+ "ㄕ4"
+ ],
+ "𤖼": [
+ "ㄆㄛ4"
+ ],
+ "𤖽": [
+ "ㄒㄧㄤ4"
+ ],
+ "𤖿": [
+ "ㄆㄧ4"
+ ],
+ "𤗀": [
+ "ㄌㄨㄛ3"
+ ],
+ "𤗁": [
+ "ㄘㄨ4"
+ ],
+ "𤗃": [
+ "ㄩ3"
+ ],
+ "𤗇": [
+ "ㄎㄨㄥ4"
+ ],
+ "𤗈": [
+ "ㄒㄧㄝ4"
+ ],
+ "𤗍": [
+ "ㄨㄢ3"
+ ],
+ "𤗎": [
+ "ㄧㄢ3"
+ ],
+ "𤗏": [
+ "ㄆㄟ2"
+ ],
+ "𤗓": [
+ "ㄔㄥ2"
+ ],
+ "𤗘": [
+ "ㄊㄧ2"
+ ],
+ "𤗙": [
+ "ㄔㄜ4",
+ "ㄊㄨㄛ4"
+ ],
+ "𤗚": [
+ "ㄅㄧ4"
+ ],
+ "𤗛": [
+ "ㄌㄧㄢ4"
+ ],
+ "𤗜": [
+ "ㄐㄧㄚ3"
+ ],
+ "𤗞": [
+ "ㄊㄧㄥ2"
+ ],
+ "𤗢": [
+ "ㄊㄧ1"
+ ],
+ "𤗨": [
+ "ㄉㄧㄝ2"
+ ],
+ "𤗪": [
+ "ㄕㄨ4"
+ ],
+ "𤗫": [
+ "ㄌㄧ2"
+ ],
+ "𤗬": [
+ "ㄌㄩ2"
+ ],
+ "𤗭": [
+ "ㄒㄧㄚ4",
+ "ㄒㄧㄚ1"
+ ],
+ "𤗯": [
+ "ㄘㄨㄟ1"
+ ],
+ "𤗳": [
+ "ㄅㄛ1"
+ ],
+ "𤗴": [
+ "ㄊㄨㄟ2"
+ ],
+ "𤗵": [
+ "ㄆㄨ2"
+ ],
+ "𤗷": [
+ "ㄌㄧㄣ4"
+ ],
+ "𤗸": [
+ "ㄈㄣ4",
+ "ㄈㄣ2"
+ ],
+ "𤗺": [
+ "ㄅㄛ2"
+ ],
+ "𤗻": [
+ "ㄔㄢ4"
+ ],
+ "𤗾": [
+ "ㄉㄤ1"
+ ],
+ "𤗿": [
+ "ㄊㄞ3"
+ ],
+ "𤘀": [
+ "ㄉㄠ4"
+ ],
+ "𤘃": [
+ "ㄌㄧ4"
+ ],
+ "𤘅": [
+ "ㄧㄚ2"
+ ],
+ "𤘆": [
+ "ㄧㄚ2"
+ ],
+ "𤘇": [
+ "ㄓㄢ1"
+ ],
+ "𤘊": [
+ "ㄧ2"
+ ],
+ "𤘌": [
+ "ㄑㄧ1"
+ ],
+ "𤘔": [
+ "ㄏㄨ4"
+ ],
+ "𤘖": [
+ "ㄊㄧㄥ1"
+ ],
+ "𤘘": [
+ "ㄎㄡ3"
+ ],
+ "𤘛": [
+ "ㄔㄨㄣ2"
+ ],
+ "𤘜": [
+ "ㄧㄡ2"
+ ],
+ "𤘝": [
+ "ㄈㄣ4"
+ ],
+ "𤘟": [
+ "ㄋㄨㄛ2"
+ ],
+ "𤘠": [
+ "ㄊㄧㄢ4"
+ ],
+ "𤘡": [
+ "ㄐㄧㄣ4"
+ ],
+ "𤘢": [
+ "ㄆㄧ2"
+ ],
+ "𤘣": [
+ "ㄔㄣ2"
+ ],
+ "𤘤": [
+ "ㄆㄧ4"
+ ],
+ "𤘦": [
+ "ㄐㄧㄝ4"
+ ],
+ "𤘧": [
+ "ㄍㄨㄟ3"
+ ],
+ "𤘲": [
+ "ㄓㄨㄤ4"
+ ],
+ "𤘵": [
+ "ㄏㄨ2"
+ ],
+ "𤘶": [
+ "ㄔㄡ3"
+ ],
+ "𤘷": [
+ "ㄕㄨ4"
+ ],
+ "𤘸": [
+ "ㄊㄠ1"
+ ],
+ "𤘹": [
+ "ㄆㄧ2"
+ ],
+ "𤘺": [
+ "ㄖㄨㄥ3"
+ ],
+ "𤘻": [
+ "ㄖㄨㄥ3"
+ ],
+ "𤘽": [
+ "ㄏㄡ3"
+ ],
+ "𤘾": [
+ "ㄆㄥ1"
+ ],
+ "𤙅": [
+ "ㄅㄞ4"
+ ],
+ "𤙇": [
+ "ㄒㄧㄚ2"
+ ],
+ "𤙋": [
+ "ㄑㄧㄣ3"
+ ],
+ "𤙌": [
+ "ㄋㄧ3"
+ ],
+ "𤙎": [
+ "ㄊㄠ1"
+ ],
+ "𤙏": [
+ "ㄑㄩ4"
+ ],
+ "𤙒": [
+ "ㄒㄧㄝ2"
+ ],
+ "𤙔": [
+ "ㄓㄠ4"
+ ],
+ "𤙕": [
+ "ㄏㄨㄚ1"
+ ],
+ "𤙖": [
+ "ㄒㄧㄣ1"
+ ],
+ "𤙘": [
+ "ㄕㄡ1"
+ ],
+ "𤙛": [
+ "ㄊㄨ2"
+ ],
+ "𤙝": [
+ "ㄌㄧㄤ2"
+ ],
+ "𤙞": [
+ "ㄅㄧ4"
+ ],
+ "𤙟": [
+ "ㄔㄨ1"
+ ],
+ "𤙡": [
+ "ㄒㄧㄥ1"
+ ],
+ "𤙣": [
+ "ㄒㄧㄣ1"
+ ],
+ "𤙤": [
+ "ㄈㄨ1"
+ ],
+ "𤙩": [
+ "ㄐㄧㄝ4"
+ ],
+ "𤙭": [
+ "ㄈㄨ3"
+ ],
+ "𤙰": [
+ "ㄊㄜ4"
+ ],
+ "𤙱": [
+ "ㄕㄜ4"
+ ],
+ "𤙴": [
+ "ㄔㄠ1"
+ ],
+ "𤙵": [
+ "ㄔㄨㄟ1"
+ ],
+ "𤙼": [
+ "ㄖㄢ2"
+ ],
+ "𤙽": [
+ "ㄏㄡ3"
+ ],
+ "𤙾": [
+ "ㄅㄥ1"
+ ],
+ "𤚀": [
+ "ㄘㄞ3"
+ ],
+ "𤚅": [
+ "ㄇㄨ2"
+ ],
+ "𤚉": [
+ "ㄒㄩ1"
+ ],
+ "𤚊": [
+ "ㄉㄧㄝ2"
+ ],
+ "𤚍": [
+ "ㄔㄢ3"
+ ],
+ "𤚎": [
+ "ㄩ2"
+ ],
+ "𤚏": [
+ "ㄓㄨㄥ4"
+ ],
+ "𤚓": [
+ "ㄌㄧ2"
+ ],
+ "𤚔": [
+ "ㄕㄡ1"
+ ],
+ "𤚚": [
+ "ㄉㄨ2"
+ ],
+ "𤚜": [
+ "ㄇㄠ1"
+ ],
+ "𤚝": [
+ "ㄏㄨㄤ2"
+ ],
+ "𤚟": [
+ "ㄊㄠ2"
+ ],
+ "𤚡": [
+ "ㄉㄨ4"
+ ],
+ "𤚢": [
+ "ㄊㄧ2"
+ ],
+ "𤚣": [
+ "ㄕㄥ1"
+ ],
+ "𤚤": [
+ "ㄇㄟ2"
+ ],
+ "𤚨": [
+ "ㄓㄣ1"
+ ],
+ "𤚩": [
+ "ㄑㄧㄣ2"
+ ],
+ "𤚪": [
+ "ㄆㄧ4"
+ ],
+ "𤚫": [
+ "ㄊㄤ2"
+ ],
+ "𤚬": [
+ "ㄘㄤ1"
+ ],
+ "𤚭": [
+ "ㄧㄠ2"
+ ],
+ "𤚯": [
+ "ㄒㄧㄡ4"
+ ],
+ "𤚰": [
+ "ㄅㄤ1"
+ ],
+ "𤚱": [
+ "ㄍㄨ3"
+ ],
+ "𤚵": [
+ "ㄅㄨ4"
+ ],
+ "𤚼": [
+ "ㄍㄡ4"
+ ],
+ "𤚽": [
+ "ㄅㄛ2"
+ ],
+ "𤛁": [
+ "ㄨㄣ4"
+ ],
+ "𤛄": [
+ "ㄐㄧ4"
+ ],
+ "𤛊": [
+ "ㄌㄚ1"
+ ],
+ "𤛍": [
+ "ㄘㄨㄟ1"
+ ],
+ "𤛎": [
+ "ㄇㄧㄣ3"
+ ],
+ "𤛏": [
+ "ㄘㄨ3"
+ ],
+ "𤛐": [
+ "ㄡ1"
+ ],
+ "𤛑": [
+ "ㄩㄥ1"
+ ],
+ "𤛖": [
+ "ㄇㄠ2"
+ ],
+ "𤛗": [
+ "ㄎㄜ4"
+ ],
+ "𤛘": [
+ "ㄇㄤ1"
+ ],
+ "𤛙": [
+ "ㄉㄧㄥ3"
+ ],
+ "𤛚": [
+ "ㄏㄨㄢ1"
+ ],
+ "𤛛": [
+ "ㄉㄨㄛ3"
+ ],
+ "𤛜": [
+ "ㄐㄧㄤ1"
+ ],
+ "𤛝": [
+ "ㄙㄨ4"
+ ],
+ "𤛢": [
+ "ㄘㄥ2"
+ ],
+ "𤛣": [
+ "ㄊㄚ4"
+ ],
+ "𤛥": [
+ "ㄏㄨㄤ2"
+ ],
+ "𤛦": [
+ "ㄐㄩㄝ2"
+ ],
+ "𤛧": [
+ "ㄒㄩㄣ2"
+ ],
+ "𤛪": [
+ "ㄒㄩㄥ4"
+ ],
+ "𤛬": [
+ "ㄇㄧ4"
+ ],
+ "𤛭": [
+ "ㄑㄩㄣ2"
+ ],
+ "𤛮": [
+ "ㄌㄠ2"
+ ],
+ "𤛱": [
+ "ㄓ4"
+ ],
+ "𤛲": [
+ "ㄨㄟ3",
+ "ㄨㄟ2"
+ ],
+ "𤛷": [
+ "ㄙㄜ4"
+ ],
+ "𤛻": [
+ "ㄗㄤ1"
+ ],
+ "𤜁": [
+ "ㄢ3"
+ ],
+ "𤜂": [
+ "ㄨㄟ4",
+ "ㄍㄨㄟ4"
+ ],
+ "𤜄": [
+ "ㄏㄨㄞ2",
+ "ㄏㄨㄞ4"
+ ],
+ "𤜇": [
+ "ㄓㄢ4"
+ ],
+ "𤜉": [
+ "ㄧㄥ1"
+ ],
+ "𤜊": [
+ "ㄍㄜ1"
+ ],
+ "𤜋": [
+ "ㄏㄨㄟ4"
+ ],
+ "𤜍": [
+ "ㄑㄩㄢ2"
+ ],
+ "𤜓": [
+ "ㄌㄧㄝ4"
+ ],
+ "𤜔": [
+ "ㄐㄩ2"
+ ],
+ "𤜕": [
+ "ㄅㄚ4"
+ ],
+ "𤜖": [
+ "ㄌㄟ2"
+ ],
+ "𤜘": [
+ "ㄇㄢ2"
+ ],
+ "𤜙": [
+ "ㄌㄧㄥ2"
+ ],
+ "𤜜": [
+ "ㄌㄧ4"
+ ],
+ "𤜝": [
+ "ㄐㄧ3"
+ ],
+ "𤜡": [
+ "ㄏㄨㄟ2"
+ ],
+ "𤜢": [
+ "ㄒㄧㄣ4"
+ ],
+ "𤜣": [
+ "ㄕ4",
+ "ㄕㄜ2"
+ ],
+ "𤜤": [
+ "ㄓㄜ2"
+ ],
+ "𤜧": [
+ "ㄅㄛ1"
+ ],
+ "𤜫": [
+ "ㄔㄚ1"
+ ],
+ "𤜯": [
+ "ㄔㄚ1"
+ ],
+ "𤜰": [
+ "ㄐㄧㄥ1"
+ ],
+ "𤜱": [
+ "ㄅㄚ1"
+ ],
+ "𤜲": [
+ "ㄅㄟ4",
+ "ㄆㄟ4"
+ ],
+ "𤜵": [
+ "ㄧㄢ4"
+ ],
+ "𤜷": [
+ "ㄏㄨ4"
+ ],
+ "𤜹": [
+ "ㄩ2"
+ ],
+ "𤜻": [
+ "ㄅㄧ4",
+ "ㄆㄧ2"
+ ],
+ "𤜼": [
+ "ㄔㄨㄢ2"
+ ],
+ "𤜾": [
+ "ㄐㄧ3"
+ ],
+ "𤝂": [
+ "ㄇㄨ4"
+ ],
+ "𤝄": [
+ "ㄇㄠ2"
+ ],
+ "𤝅": [
+ "ㄓㄨㄥ1"
+ ],
+ "𤝇": [
+ "ㄧㄝ4"
+ ],
+ "𤝈": [
+ "ㄉㄡ1"
+ ],
+ "𤝉": [
+ "ㄧㄝ3"
+ ],
+ "𤝍": [
+ "ㄖ4"
+ ],
+ "𤝎": [
+ "ㄧㄣ1"
+ ],
+ "𤝐": [
+ "ㄏㄠ4"
+ ],
+ "𤝒": [
+ "ㄋㄚ4"
+ ],
+ "𤝓": [
+ "ㄊㄧㄝ4"
+ ],
+ "𤝔": [
+ "ㄈㄨ4",
+ "ㄔㄞ2"
+ ],
+ "𤝕": [
+ "ㄇㄨ3"
+ ],
+ "𤝖": [
+ "ㄗㄞ3"
+ ],
+ "𤝘": [
+ "ㄏㄨ2"
+ ],
+ "𤝚": [
+ "ㄔㄣ1"
+ ],
+ "𤝛": [
+ "ㄊㄨㄛ2"
+ ],
+ "𤝞": [
+ "ㄔㄨ4"
+ ],
+ "𤝟": [
+ "ㄈㄨ2",
+ "ㄈㄟ4"
+ ],
+ "𤝧": [
+ "ㄅㄠ4"
+ ],
+ "𤝬": [
+ "ㄉㄧ3"
+ ],
+ "𤝭": [
+ "ㄘㄞ3"
+ ],
+ "𤝮": [
+ "ㄌㄨ4"
+ ],
+ "𤝯": [
+ "ㄆㄛ3"
+ ],
+ "𤝰": [
+ "ㄉㄚ2"
+ ],
+ "𤝱": [
+ "ㄧㄝ4"
+ ],
+ "𤝳": [
+ "ㄧ3"
+ ],
+ "𤝷": [
+ "ㄒㄧㄤ2"
+ ],
+ "𤝸": [
+ "ㄅㄧ1"
+ ],
+ "𤝹": [
+ "ㄓㄨ1"
+ ],
+ "𤝻": [
+ "ㄧ2"
+ ],
+ "𤝽": [
+ "ㄌㄩ4"
+ ],
+ "𤝿": [
+ "ㄎㄨㄤ1"
+ ],
+ "𤞂": [
+ "ㄓ4"
+ ],
+ "𤞇": [
+ "ㄨㄚ2",
+ "ㄎㄨㄤ2"
+ ],
+ "𤞈": [
+ "ㄉㄧ1"
+ ],
+ "𤞉": [
+ "ㄕㄨ4"
+ ],
+ "𤞊": [
+ "ㄌㄧㄝ4"
+ ],
+ "𤞋": [
+ "ㄗㄠ3"
+ ],
+ "𤞌": [
+ "ㄓ4"
+ ],
+ "𤞍": [
+ "ㄋㄠ2"
+ ],
+ "𤞗": [
+ "ㄔㄞ2"
+ ],
+ "𤞚": [
+ "ㄒㄧㄠ1"
+ ],
+ "𤞛": [
+ "ㄗㄤ4"
+ ],
+ "𤞞": [
+ "ㄩ4"
+ ],
+ "𤞟": [
+ "ㄉㄡ4"
+ ],
+ "𤞠": [
+ "ㄔㄚ4"
+ ],
+ "𤞡": [
+ "ㄒㄧㄝ2"
+ ],
+ "𤞢": [
+ "ㄧㄤ2"
+ ],
+ "𤞤": [
+ "ㄒㄧㄢ3"
+ ],
+ "𤞥": [
+ "ㄅㄠ3"
+ ],
+ "𤞮": [
+ "ㄓㄞ4",
+ "ㄓㄞ1"
+ ],
+ "𤞰": [
+ "ㄑㄧㄡ2"
+ ],
+ "𤞲": [
+ "ㄏㄨ2"
+ ],
+ "𤞳": [
+ "ㄗㄞ4"
+ ],
+ "𤞴": [
+ "ㄐㄩㄝ2"
+ ],
+ "𤞶": [
+ "ㄏㄢ1",
+ "ㄏㄢ4"
+ ],
+ "𤞿": [
+ "ㄢ4"
+ ],
+ "𤟀": [
+ "ㄗㄠ4"
+ ],
+ "𤟃": [
+ "ㄕㄚ4"
+ ],
+ "𤟅": [
+ "ㄒㄧㄢ4"
+ ],
+ "𤟆": [
+ "ㄔ3"
+ ],
+ "𤟇": [
+ "ㄧㄢ3"
+ ],
+ "𤟉": [
+ "ㄢ4"
+ ],
+ "𤟍": [
+ "ㄓㄜ2"
+ ],
+ "𤟎": [
+ "ㄐㄩㄝ2"
+ ],
+ "𤟑": [
+ "ㄌㄧ4"
+ ],
+ "𤟓": [
+ "ㄌㄜ4"
+ ],
+ "𤟖": [
+ "ㄘㄞ3"
+ ],
+ "𤟘": [
+ "ㄌㄨ4"
+ ],
+ "𤟚": [
+ "ㄐㄧㄚ1"
+ ],
+ "𤟝": [
+ "ㄒㄧㄚ4"
+ ],
+ "𤟞": [
+ "ㄒㄧㄠ4"
+ ],
+ "𤟟": [
+ "ㄧㄢ1"
+ ],
+ "𤟠": [
+ "ㄒㄩ1"
+ ],
+ "𤟢": [
+ "ㄉㄨㄣ4"
+ ],
+ "𤟣": [
+ "ㄧㄥ2"
+ ],
+ "𤟤": [
+ "ㄏㄨㄟ1",
+ "ㄒㄩㄣ1"
+ ],
+ "𤟥": [
+ "ㄊㄧ2"
+ ],
+ "𤟦": [
+ "ㄋㄡ2"
+ ],
+ "𤟧": [
+ "ㄒㄧ3"
+ ],
+ "𤟪": [
+ "ㄊㄨ2"
+ ],
+ "𤟷": [
+ "ㄨㄞ1"
+ ],
+ "𤟸": [
+ "ㄔㄣ1"
+ ],
+ "𤟼": [
+ "ㄏㄨㄥ1"
+ ],
+ "𤟾": [
+ "ㄊㄧ2"
+ ],
+ "𤟿": [
+ "ㄒㄩㄢ1"
+ ],
+ "𤠀": [
+ "ㄗㄚ2"
+ ],
+ "𤠇": [
+ "ㄍㄜ2"
+ ],
+ "𤠋": [
+ "ㄌㄡ2"
+ ],
+ "𤠌": [
+ "ㄔㄞ2"
+ ],
+ "𤠍": [
+ "ㄆㄢ2"
+ ],
+ "𤠎": [
+ "ㄐㄧ2"
+ ],
+ "𤠐": [
+ "ㄊㄚ4"
+ ],
+ "𤠓": [
+ "ㄒㄧ1"
+ ],
+ "𤠖": [
+ "ㄒㄧㄠ1"
+ ],
+ "𤠘": [
+ "ㄙㄠ1"
+ ],
+ "𤠙": [
+ "ㄐㄧㄚ1"
+ ],
+ "𤠚": [
+ "ㄙㄨ4"
+ ],
+ "𤠛": [
+ "ㄏㄨㄤ1"
+ ],
+ "𤠝": [
+ "ㄘㄨㄛ1"
+ ],
+ "𤠟": [
+ "ㄊㄚ4"
+ ],
+ "𤠠": [
+ "ㄕㄨㄞ1"
+ ],
+ "𤠪": [
+ "ㄈㄨ2"
+ ],
+ "𤠫": [
+ "ㄌㄧ4"
+ ],
+ "𤠭": [
+ "ㄕㄜ4"
+ ],
+ "𤠯": [
+ "ㄊㄤ2"
+ ],
+ "𤠶": [
+ "ㄉㄧㄢ1"
+ ],
+ "𤠺": [
+ "ㄅㄧ4"
+ ],
+ "𤠼": [
+ "ㄍㄡ4"
+ ],
+ "𤠽": [
+ "ㄘㄨ4"
+ ],
+ "𤠿": [
+ "ㄑㄧㄢ1"
+ ],
+ "𤡂": [
+ "ㄌㄟ2",
+ "ㄌㄟ3"
+ ],
+ "𤡃": [
+ "ㄙㄨ4"
+ ],
+ "𤡆": [
+ "ㄗㄨㄥ4",
+ "ㄗㄨㄥ1"
+ ],
+ "𤡇": [
+ "ㄏㄠ1"
+ ],
+ "𤡏": [
+ "ㄔ4"
+ ],
+ "𤡐": [
+ "ㄘㄠ2"
+ ],
+ "𤡓": [
+ "ㄨㄛ4"
+ ],
+ "𤡔": [
+ "ㄒㄧㄠ1"
+ ],
+ "𤡕": [
+ "ㄌㄧㄝ4",
+ "ㄨㄣ3"
+ ],
+ "𤡖": [
+ "ㄧㄢ2",
+ "ㄧㄢ1"
+ ],
+ "𤡝": [
+ "ㄅㄧ4"
+ ],
+ "𤡟": [
+ "ㄏㄨㄢ4"
+ ],
+ "𤡡": [
+ "ㄒㄧ1"
+ ],
+ "𤡢": [
+ "ㄔ1"
+ ],
+ "𤡣": [
+ "ㄒㄩ1"
+ ],
+ "𤡤": [
+ "ㄋㄠ2",
+ "ㄋㄚ4",
+ "ㄖㄨ2"
+ ],
+ "𤡥": [
+ "ㄧㄢ2",
+ "ㄒㄧㄢ4"
+ ],
+ "𤡧": [
+ "ㄒㄧㄝ4"
+ ],
+ "𤡨": [
+ "ㄓㄚ2"
+ ],
+ "𤡪": [
+ "ㄙㄨㄟ4",
+ "ㄨㄟ3"
+ ],
+ "𤡬": [
+ "ㄒㄧ4"
+ ],
+ "𤡭": [
+ "ㄅㄥ1",
+ "ㄆㄥ2"
+ ],
+ "𤡮": [
+ "ㄖㄢ2"
+ ],
+ "𤡯": [
+ "ㄕㄨㄛ4",
+ "ㄒㄧ1",
+ "ㄑㄩㄝ4"
+ ],
+ "𤡰": [
+ "ㄅㄢ1"
+ ],
+ "𤡱": [
+ "ㄍㄨㄟ4"
+ ],
+ "𤡲": [
+ "ㄎㄞ1"
+ ],
+ "𤡳": [
+ "ㄔㄣ1"
+ ],
+ "𤡶": [
+ "ㄒㄩ4"
+ ],
+ "𤡾": [
+ "ㄜ4"
+ ],
+ "𤡿": [
+ "ㄌㄧ4"
+ ],
+ "𤢀": [
+ "ㄒㄧ1"
+ ],
+ "𤢁": [
+ "ㄏㄨㄢ4"
+ ],
+ "𤢂": [
+ "ㄙㄨ4"
+ ],
+ "𤢄": [
+ "ㄔㄤ3"
+ ],
+ "𤢊": [
+ "ㄌㄨ4"
+ ],
+ "𤢋": [
+ "ㄧㄢ2"
+ ],
+ "𤢎": [
+ "ㄉㄤ1"
+ ],
+ "𤢏": [
+ "ㄉㄢ3"
+ ],
+ "𤢐": [
+ "ㄧㄤ1"
+ ],
+ "𤢒": [
+ "ㄓㄞ3"
+ ],
+ "𤢓": [
+ "ㄐㄩ4",
+ "ㄑㄩ2"
+ ],
+ "𤢕": [
+ "ㄉㄨㄛ2"
+ ],
+ "𤢖": [
+ "ㄙㄠ1",
+ "ㄕㄢ1"
+ ],
+ "𤢗": [
+ "ㄌㄞ2"
+ ],
+ "𤢘": [
+ "ㄙㄨ4"
+ ],
+ "𤢟": [
+ "ㄗㄜ2"
+ ],
+ "𤢣": [
+ "ㄅㄧ4"
+ ],
+ "𤢦": [
+ "ㄧㄣ4"
+ ],
+ "𤢨": [
+ "ㄏㄠ1"
+ ],
+ "𤢪": [
+ "ㄌㄧㄝ4"
+ ],
+ "𤢭": [
+ "ㄏㄠ2"
+ ],
+ "𤢮": [
+ "ㄧㄤ2"
+ ],
+ "𤢴": [
+ "ㄕㄨㄛ4",
+ "ㄌㄧ4"
+ ],
+ "𤢵": [
+ "ㄌㄞ4",
+ "ㄞ4"
+ ],
+ "𤢶": [
+ "ㄑㄩㄥ2"
+ ],
+ "𤢹": [
+ "ㄌㄟ3"
+ ],
+ "𤢺": [
+ "ㄒㄧㄝ2"
+ ],
+ "𤢼": [
+ "ㄕ4"
+ ],
+ "𤣃": [
+ "ㄌㄨ3"
+ ],
+ "𤣅": [
+ "ㄑㄩㄝ4"
+ ],
+ "𤣆": [
+ "ㄌㄧㄢ2"
+ ],
+ "𤣌": [
+ "ㄒㄧㄠ4"
+ ],
+ "𤣎": [
+ "ㄧㄥ1"
+ ],
+ "𤣑": [
+ "ㄒㄧㄝ2"
+ ],
+ "𤣘": [
+ "ㄌㄧㄥ2"
+ ],
+ "𤣙": [
+ "ㄧㄡ1"
+ ],
+ "𤣞": [
+ "ㄉㄤ3"
+ ],
+ "𤣟": [
+ "ㄌㄢ3"
+ ],
+ "𤣠": [
+ "ㄒㄧㄠ1"
+ ],
+ "𤣨": [
+ "ㄧ4"
+ ],
+ "𤣬": [
+ "ㄨ1"
+ ],
+ "𤣮": [
+ "ㄧ4"
+ ],
+ "𤣯": [
+ "ㄊㄨㄛ1"
+ ],
+ "𤣰": [
+ "ㄅㄨ3"
+ ],
+ "𤣲": [
+ "ㄒㄧㄣ4"
+ ],
+ "𤣵": [
+ "ㄙ1"
+ ],
+ "𤣶": [
+ "ㄐㄧㄣ1"
+ ],
+ "𤣸": [
+ "ㄅㄚ1"
+ ],
+ "𤣹": [
+ "ㄈㄚ3"
+ ],
+ "𤣻": [
+ "ㄇㄛ4"
+ ],
+ "𤣼": [
+ "ㄖㄨㄛ4"
+ ],
+ "𤤊": [
+ "ㄉㄚ4"
+ ],
+ "𤤋": [
+ "ㄐㄧ4"
+ ],
+ "𤤐": [
+ "ㄙㄨ4"
+ ],
+ "𤤑": [
+ "ㄑㄩㄥ2"
+ ],
+ "𤤒": [
+ "ㄅㄚ1"
+ ],
+ "𤤦": [
+ "ㄊㄧㄢ2"
+ ],
+ "𤤧": [
+ "ㄧㄡ2"
+ ],
+ "𤤩": [
+ "ㄊㄨㄛ2"
+ ],
+ "𤤫": [
+ "ㄨㄞ4"
+ ],
+ "𤤬": [
+ "ㄧㄡ4"
+ ],
+ "𤤮": [
+ "ㄉㄨㄥ1"
+ ],
+ "𤤱": [
+ "ㄒㄧ3"
+ ],
+ "𤤲": [
+ "ㄎㄨㄥ3"
+ ],
+ "𤤶": [
+ "ㄑㄩㄥ2"
+ ],
+ "𤤷": [
+ "ㄉㄨㄟ1"
+ ],
+ "𤤸": [
+ "ㄉㄨㄛ4"
+ ],
+ "𤤺": [
+ "ㄧ4"
+ ],
+ "𤥒": [
+ "ㄒㄧ1"
+ ],
+ "𤥓": [
+ "ㄑㄧㄣ1"
+ ],
+ "𤥔": [
+ "ㄙㄨ4"
+ ],
+ "𤥗": [
+ "ㄌㄧㄡ2"
+ ],
+ "𤥙": [
+ "ㄨㄢ2"
+ ],
+ "𤥭": [
+ "ㄔㄜ1"
+ ],
+ "𤥮": [
+ "ㄓㄨ1"
+ ],
+ "𤥰": [
+ "ㄇㄠ4"
+ ],
+ "𤥷": [
+ "ㄑㄩㄢ2"
+ ],
+ "𤥽": [
+ "ㄩ1"
+ ],
+ "𤥿": [
+ "ㄧ4"
+ ],
+ "𤦀": [
+ "ㄇㄧ2"
+ ],
+ "𤦃": [
+ "ㄌㄞ2"
+ ],
+ "𤦄": [
+ "ㄓ4"
+ ],
+ "𤦤": [
+ "ㄋㄧ2"
+ ],
+ "𤦦": [
+ "ㄅㄢ1"
+ ],
+ "𤦪": [
+ "ㄉㄨㄥ1"
+ ],
+ "𤦮": [
+ "ㄓ4"
+ ],
+ "𤧕": [
+ "ㄧ4"
+ ],
+ "𤧘": [
+ "ㄌㄧㄥ2"
+ ],
+ "𤧙": [
+ "ㄩ2"
+ ],
+ "𤧚": [
+ "ㄘㄨㄥ1"
+ ],
+ "𤧛": [
+ "ㄉㄧ4"
+ ],
+ "𤧜": [
+ "ㄓ4"
+ ],
+ "𤧠": [
+ "ㄖㄨㄢ3"
+ ],
+ "𤧣": [
+ "ㄐㄧㄢ4"
+ ],
+ "𤧩": [
+ "ㄨㄢ4"
+ ],
+ "𤧫": [
+ "ㄐㄧㄣ1",
+ "ㄐㄧㄣ4",
+ "ㄉㄨㄟ1"
+ ],
+ "𤧭": [
+ "ㄆㄤ2"
+ ],
+ "𤨍": [
+ "ㄌㄨ4"
+ ],
+ "𤨎": [
+ "ㄑㄩ2"
+ ],
+ "𤨐": [
+ "ㄒㄧ3",
+ "ㄊㄠ1"
+ ],
+ "𤨑": [
+ "ㄉㄚ2"
+ ],
+ "𤨖": [
+ "ㄏㄨ4"
+ ],
+ "𤨗": [
+ "ㄌㄨㄛ3"
+ ],
+ "𤨙": [
+ "ㄌㄜ4"
+ ],
+ "𤨶": [
+ "ㄍㄨㄥ3"
+ ],
+ "𤨻": [
+ "ㄌㄧㄥ4"
+ ],
+ "𤩂": [
+ "ㄌㄠ2"
+ ],
+ "𤩄": [
+ "ㄓㄨㄢ4"
+ ],
+ "𤩨": [
+ "ㄗㄠ3"
+ ],
+ "𤩩": [
+ "ㄏㄠ4"
+ ],
+ "𤩪": [
+ "ㄒㄧㄤ4"
+ ],
+ "𤩭": [
+ "ㄏㄠ4"
+ ],
+ "𤩮": [
+ "ㄌㄧ4"
+ ],
+ "𤩱": [
+ "ㄉㄧㄢ4",
+ "ㄊㄧㄢ4"
+ ],
+ "𤩲": [
+ "ㄍㄜ2"
+ ],
+ "𤩽": [
+ "ㄏㄨㄢ2"
+ ],
+ "𤪄": [
+ "ㄜ4"
+ ],
+ "𤪆": [
+ "ㄒㄧㄚ2"
+ ],
+ "𤪋": [
+ "ㄐㄧㄢ1"
+ ],
+ "𤪌": [
+ "ㄑㄧ2"
+ ],
+ "𤪍": [
+ "ㄒㄧㄚ2"
+ ],
+ "𤪎": [
+ "ㄧㄡ3"
+ ],
+ "𤪡": [
+ "ㄓㄥ1"
+ ],
+ "𤪪": [
+ "ㄓㄨㄢ4",
+ "ㄔㄨㄣ1"
+ ],
+ "𤪮": [
+ "ㄔㄢ4"
+ ],
+ "𤫉": [
+ "ㄒㄧㄝ4"
+ ],
+ "𤫕": [
+ "ㄋㄠ2"
+ ],
+ "𤫝": [
+ "ㄐㄧ4"
+ ],
+ "𤫞": [
+ "ㄊㄧㄢ2"
+ ],
+ "𤫣": [
+ "ㄧㄢ3"
+ ],
+ "𤫧": [
+ "ㄏㄠ3"
+ ],
+ "𤫨": [
+ "ㄒㄧㄣ2"
+ ],
+ "𤫩": [
+ "ㄌㄧㄥ2"
+ ],
+ "𤫫": [
+ "ㄅㄢ1"
+ ],
+ "𤫬": [
+ "ㄅㄥ3"
+ ],
+ "𤫱": [
+ "ㄍㄡ1"
+ ],
+ "𤫲": [
+ "ㄌㄧㄥ2"
+ ],
+ "𤫵": [
+ "ㄎㄨㄛ4",
+ "ㄍㄨㄛ2"
+ ],
+ "𤫶": [
+ "ㄑㄧㄚ4"
+ ],
+ "𤫷": [
+ "ㄐㄧㄠ4"
+ ],
+ "𤫹": [
+ "ㄣ1"
+ ],
+ "𤫺": [
+ "ㄧㄠ2"
+ ],
+ "𤫻": [
+ "ㄉㄨ1"
+ ],
+ "𤬁": [
+ "ㄏㄨㄛ3",
+ "ㄍㄨㄛ3",
+ "ㄌㄨㄛ3"
+ ],
+ "𤬂": [
+ "ㄉㄨ3"
+ ],
+ "𤬃": [
+ "ㄆㄟ1"
+ ],
+ "𤬌": [
+ "ㄩㄢ2"
+ ],
+ "𤬏": [
+ "ㄌㄡ2"
+ ],
+ "𤬐": [
+ "ㄒㄧㄥ2"
+ ],
+ "𤬓": [
+ "ㄌㄧㄢ2",
+ "ㄌㄧㄢ3"
+ ],
+ "𤬔": [
+ "ㄧㄠ2"
+ ],
+ "𤬕": [
+ "ㄒㄧ1"
+ ],
+ "𤬖": [
+ "ㄧㄠ2"
+ ],
+ "𤬘": [
+ "ㄒㄧ1"
+ ],
+ "𤬛": [
+ "ㄌㄨ2"
+ ],
+ "𤬝": [
+ "ㄧㄢ4"
+ ],
+ "𤬠": [
+ "ㄑㄩㄢ2"
+ ],
+ "𤬥": [
+ "ㄖㄤ2"
+ ],
+ "𤬦": [
+ "ㄨㄚ4"
+ ],
+ "𤬧": [
+ "ㄗㄨ2"
+ ],
+ "𤬨": [
+ "ㄈㄢ4"
+ ],
+ "𤬩": [
+ "ㄧ4"
+ ],
+ "𤬪": [
+ "ㄉㄨ4",
+ "ㄎㄢ1"
+ ],
+ "𤬫": [
+ "ㄙㄨㄟ4"
+ ],
+ "𤬭": [
+ "ㄆㄧ1"
+ ],
+ "𤬯": [
+ "ㄏㄢ2",
+ "ㄑㄧㄢ4"
+ ],
+ "𤬱": [
+ "ㄒㄩ4"
+ ],
+ "𤬳": [
+ "ㄍㄨㄥ3"
+ ],
+ "𤬵": [
+ "ㄉㄧ4"
+ ],
+ "𤬷": [
+ "ㄋㄚ4"
+ ],
+ "𤬾": [
+ "ㄉㄨㄛ4",
+ "ㄊㄨㄛ2"
+ ],
+ "𤬿": [
+ "ㄨㄚ1"
+ ],
+ "𤭂": [
+ "ㄋㄧㄝ4"
+ ],
+ "𤭈": [
+ "ㄉㄧㄠ4"
+ ],
+ "𤭉": [
+ "ㄏㄨㄤ1"
+ ],
+ "𤭌": [
+ "ㄊㄧ2"
+ ],
+ "𤭍": [
+ "ㄈㄢ4"
+ ],
+ "𤭑": [
+ "ㄨ2"
+ ],
+ "𤭒": [
+ "ㄤ2"
+ ],
+ "𤭔": [
+ "ㄆㄧㄥ2"
+ ],
+ "𤭙": [
+ "ㄏㄢ2",
+ "ㄍㄢ1"
+ ],
+ "𤭛": [
+ "ㄍㄤ1"
+ ],
+ "𤭜": [
+ "ㄌㄧ2"
+ ],
+ "𤭞": [
+ "ㄉㄨㄣ1"
+ ],
+ "𤭟": [
+ "ㄈㄨ4"
+ ],
+ "𤭠": [
+ "ㄋㄚ4"
+ ],
+ "𤭢": [
+ "ㄘㄟ4",
+ "ㄙㄨㄟ4"
+ ],
+ "𤭧": [
+ "ㄐㄧㄝ1"
+ ],
+ "𤭩": [
+ "ㄑㄧㄥ4"
+ ],
+ "𤭫": [
+ "ㄧㄥ1"
+ ],
+ "𤭬": [
+ "ㄒㄧㄤ2"
+ ],
+ "𤭱": [
+ "ㄏㄨ2"
+ ],
+ "𤭴": [
+ "ㄙㄨ4"
+ ],
+ "𤭻": [
+ "ㄍㄜ1"
+ ],
+ "𤭼": [
+ "ㄜ4"
+ ],
+ "𤭽": [
+ "ㄒㄩ4"
+ ],
+ "𤮆": [
+ "ㄒㄧ1"
+ ],
+ "𤮊": [
+ "ㄎㄤ1"
+ ],
+ "𤮋": [
+ "ㄍㄨㄛ2"
+ ],
+ "𤮌": [
+ "ㄐㄧㄝ1"
+ ],
+ "𤮍": [
+ "ㄔㄨㄢ2"
+ ],
+ "𤮎": [
+ "ㄌㄟ2"
+ ],
+ "𤮏": [
+ "ㄏㄥ2"
+ ],
+ "𤮐": [
+ "ㄗㄨㄣ1"
+ ],
+ "𤮕": [
+ "ㄆㄧㄝ4"
+ ],
+ "𤮘": [
+ "ㄉㄥ1"
+ ],
+ "𤮙": [
+ "ㄒㄧ1"
+ ],
+ "𤮚": [
+ "ㄌㄟ2"
+ ],
+ "𤮜": [
+ "ㄕㄢ4"
+ ],
+ "𤮧": [
+ "ㄌㄨ2"
+ ],
+ "𤮩": [
+ "ㄉㄨㄟ4"
+ ],
+ "𤮪": [
+ "ㄐㄩㄣ4"
+ ],
+ "𤮭": [
+ "ㄔㄢ4"
+ ],
+ "𤮯": [
+ "ㄒㄧㄝ2"
+ ],
+ "𤮰": [
+ "ㄨㄚ1"
+ ],
+ "𤮱": [
+ "ㄓㄜ2"
+ ],
+ "𤮳": [
+ "ㄓㄨㄢ1",
+ "ㄍㄨㄢ4"
+ ],
+ "𤮷": [
+ "ㄌㄧㄡ4"
+ ],
+ "𤮸": [
+ "ㄌㄟ2"
+ ],
+ "𤮼": [
+ "ㄉㄞ4"
+ ],
+ "𤮽": [
+ "ㄍㄢ1"
+ ],
+ "𤯄": [
+ "ㄕ4"
+ ],
+ "𤯇": [
+ "ㄧㄢ3"
+ ],
+ "𤯌": [
+ "ㄍㄢ1"
+ ],
+ "𤯐": [
+ "ㄧㄢ2"
+ ],
+ "𤯖": [
+ "ㄙㄨㄟ1"
+ ],
+ "𤯚": [
+ "ㄓㄨㄥ1"
+ ],
+ "𤯜": [
+ "ㄕ4"
+ ],
+ "𤯡": [
+ "ㄕㄥ4"
+ ],
+ "𤯥": [
+ "ㄔㄢ3"
+ ],
+ "𤯷": [
+ "ㄏㄨㄤ2"
+ ],
+ "𤯸": [
+ "ㄧㄣ4"
+ ],
+ "𤯻": [
+ "ㄇㄥ3"
+ ],
+ "𤰂": [
+ "ㄖㄤ2"
+ ],
+ "𤰅": [
+ "ㄒㄧㄤ2"
+ ],
+ "𤰈": [
+ "ㄅㄟ4",
+ "ㄈㄨ2"
+ ],
+ "𤰌": [
+ "ㄔㄨㄢ2"
+ ],
+ "𤰑": [
+ "ㄆㄨ2"
+ ],
+ "𤰙": [
+ "ㄎㄜ1",
+ "ㄍㄜ2"
+ ],
+ "𤰚": [
+ "ㄌㄚ1",
+ "ㄌㄚ2"
+ ],
+ "𤰝": [
+ "ㄑㄩㄢ3"
+ ],
+ "𤰟": [
+ "ㄏㄤ4"
+ ],
+ "𤰠": [
+ "ㄔ4"
+ ],
+ "𤰡": [
+ "ㄇㄤ2"
+ ],
+ "𤰦": [
+ "ㄓㄚ4"
+ ],
+ "𤰪": [
+ "ㄈㄣ4"
+ ],
+ "𤰬": [
+ "ㄔㄠ4"
+ ],
+ "𤰳": [
+ "ㄐㄧㄥ3"
+ ],
+ "𤱃": [
+ "ㄌㄧㄝ4"
+ ],
+ "𤱅": [
+ "ㄋㄚ4"
+ ],
+ "𤱆": [
+ "ㄋㄚ4"
+ ],
+ "𤱇": [
+ "ㄊㄨㄥ2"
+ ],
+ "𤱋": [
+ "ㄖㄢ2"
+ ],
+ "𤱌": [
+ "ㄗㄨ3"
+ ],
+ "𤱍": [
+ "ㄆㄧ1",
+ "ㄆㄛ3"
+ ],
+ "𤱎": [
+ "ㄧㄡ3"
+ ],
+ "𤱐": [
+ "ㄕㄨ1"
+ ],
+ "𤱛": [
+ "ㄌㄧㄝ4"
+ ],
+ "𤱜": [
+ "ㄕㄡ1"
+ ],
+ "𤱝": [
+ "ㄊㄨㄢ3"
+ ],
+ "𤱟": [
+ "ㄍㄠ3"
+ ],
+ "𤱠": [
+ "ㄕㄠ2"
+ ],
+ "𤱡": [
+ "ㄊㄨㄛ2"
+ ],
+ "𤱣": [
+ "ㄋㄢ2"
+ ],
+ "𤱧": [
+ "ㄊㄨㄛ3"
+ ],
+ "𤱨": [
+ "ㄍㄨㄥ1"
+ ],
+ "𤱩": [
+ "ㄉㄧㄠ4"
+ ],
+ "𤱴": [
+ "ㄇㄥ3"
+ ],
+ "𤱵": [
+ "ㄅㄤ1"
+ ],
+ "𤱷": [
+ "ㄒㄧㄝ2"
+ ],
+ "𤱸": [
+ "ㄙ4"
+ ],
+ "𤱹": [
+ "ㄊㄧㄥ3"
+ ],
+ "𤱺": [
+ "ㄍㄨㄟ4"
+ ],
+ "𤱽": [
+ "ㄈㄨ2"
+ ],
+ "𤱾": [
+ "ㄍㄨㄟ4"
+ ],
+ "𤲉": [
+ "ㄍㄨㄟ4"
+ ],
+ "𤲑": [
+ "ㄓㄨ3"
+ ],
+ "𤲓": [
+ "ㄌㄞ2"
+ ],
+ "𤲕": [
+ "ㄌㄨㄣ3"
+ ],
+ "𤲖": [
+ "ㄊㄧㄢ3"
+ ],
+ "𤲗": [
+ "ㄖㄢ3"
+ ],
+ "𤲚": [
+ "ㄉㄨㄥ1"
+ ],
+ "𤲨": [
+ "ㄐㄩㄢ4"
+ ],
+ "𤲩": [
+ "ㄧㄢ2"
+ ],
+ "𤲬": [
+ "ㄖㄨㄢ2"
+ ],
+ "𤲭": [
+ "ㄉㄢ3"
+ ],
+ "𤲰": [
+ "ㄇㄠ4"
+ ],
+ "𤲶": [
+ "ㄌㄨㄢ2",
+ "ㄋㄧㄠ3"
+ ],
+ "𤲸": [
+ "ㄒㄩ4",
+ "ㄗ1"
+ ],
+ "𤲺": [
+ "ㄒㄧ1"
+ ],
+ "𤳂": [
+ "ㄇㄚ2"
+ ],
+ "𤳃": [
+ "ㄑㄧ1"
+ ],
+ "𤳅": [
+ "ㄔㄚ4"
+ ],
+ "𤳈": [
+ "ㄕㄤ1"
+ ],
+ "𤳉": [
+ "ㄏㄢ4"
+ ],
+ "𤳊": [
+ "ㄆㄧㄥ2"
+ ],
+ "𤳎": [
+ "ㄐㄧ1"
+ ],
+ "𤳓": [
+ "ㄌㄧ4"
+ ],
+ "𤳕": [
+ "ㄩ4"
+ ],
+ "𤳖": [
+ "ㄅㄢ1",
+ "ㄈㄢ1"
+ ],
+ "𤳘": [
+ "ㄊㄥ1"
+ ],
+ "𤳝": [
+ "ㄔㄡ2"
+ ],
+ "𤳠": [
+ "ㄔㄡ2"
+ ],
+ "𤳤": [
+ "ㄑㄧ1"
+ ],
+ "𤳥": [
+ "ㄒㄧ1"
+ ],
+ "𤳦": [
+ "ㄅㄟ4"
+ ],
+ "𤳪": [
+ "ㄧㄝ4"
+ ],
+ "𤳭": [
+ "ㄍㄨㄤ3"
+ ],
+ "𤳯": [
+ "ㄓㄨ4"
+ ],
+ "𤳳": [
+ "ㄌㄟ2",
+ "ㄏㄨㄟ3"
+ ],
+ "𤳴": [
+ "ㄌㄟ2"
+ ],
+ "𤳵": [
+ "ㄔㄚ1"
+ ],
+ "𤴀": [
+ "ㄍㄨㄤ3",
+ "ㄑㄧㄠ1"
+ ],
+ "𤴍": [
+ "ㄉㄧㄝ2"
+ ],
+ "𤴓": [
+ "ㄧㄚ3"
+ ],
+ "𤴘": [
+ "ㄋㄧㄝ4"
+ ],
+ "𤴙": [
+ "ㄕㄨ1",
+ "ㄒㄩ1"
+ ],
+ "𤴛": [
+ "ㄓ4"
+ ],
+ "𤴟": [
+ "ㄓ4"
+ ],
+ "𤴢": [
+ "ㄓ4"
+ ],
+ "𤴣": [
+ "ㄆㄧ3"
+ ],
+ "𤴥": [
+ "ㄐㄧㄡ1"
+ ],
+ "𤴦": [
+ "ㄐㄧㄡ1"
+ ],
+ "𤴧": [
+ "ㄧ4"
+ ],
+ "𤴨": [
+ "ㄧㄡ4",
+ "ㄧㄡ3"
+ ],
+ "𤴪": [
+ "ㄐㄧㄡ1"
+ ],
+ "𤴯": [
+ "ㄏㄨㄢ4"
+ ],
+ "𤴱": [
+ "ㄉㄨ4"
+ ],
+ "𤴻": [
+ "ㄊㄠ2"
+ ],
+ "𤴼": [
+ "ㄑㄧㄝ4",
+ "ㄘ2"
+ ],
+ "𤴽": [
+ "ㄑㄧㄣ2"
+ ],
+ "𤴾": [
+ "ㄒㄧㄣ4"
+ ],
+ "𤴿": [
+ "ㄔㄢ1"
+ ],
+ "𤵀": [
+ "ㄐㄧ4"
+ ],
+ "𤵂": [
+ "ㄑㄧㄣ4"
+ ],
+ "𤵊": [
+ "ㄉㄨ4"
+ ],
+ "𤵋": [
+ "ㄓ1"
+ ],
+ "𤵎": [
+ "ㄡ3"
+ ],
+ "𤵐": [
+ "ㄨ4"
+ ],
+ "𤵒": [
+ "ㄨㄣ2"
+ ],
+ "𤵘": [
+ "ㄅㄧ4"
+ ],
+ "𤵛": [
+ "ㄅㄟ1"
+ ],
+ "𤵝": [
+ "ㄇㄨ3"
+ ],
+ "𤵞": [
+ "ㄐㄧㄣ4"
+ ],
+ "𤵟": [
+ "ㄊㄠ2"
+ ],
+ "𤵠": [
+ "ㄌㄧㄠ2"
+ ],
+ "𤵥": [
+ "ㄘㄠ2",
+ "ㄓㄡ3"
+ ],
+ "𤵦": [
+ "ㄓㄚ2"
+ ],
+ "𤵬": [
+ "ㄔ3"
+ ],
+ "𤵭": [
+ "ㄧㄚ1"
+ ],
+ "𤵮": [
+ "ㄎㄨㄟ2"
+ ],
+ "𤵯": [
+ "ㄧㄣ4"
+ ],
+ "𤵸": [
+ "ㄌㄨㄥ2",
+ "ㄆㄤ1"
+ ],
+ "𤵹": [
+ "ㄑㄧㄚ4"
+ ],
+ "𤵻": [
+ "ㄏㄤ1"
+ ],
+ "𤵼": [
+ "ㄕㄤ4",
+ "ㄕㄤ1"
+ ],
+ "𤵽": [
+ "ㄏㄞ4"
+ ],
+ "𤵾": [
+ "ㄔㄚ1"
+ ],
+ "𤶀": [
+ "ㄐㄧㄠ3"
+ ],
+ "𤶁": [
+ "ㄌㄠ3"
+ ],
+ "𤶈": [
+ "ㄒㄧ1"
+ ],
+ "𤶋": [
+ "ㄅㄛ2"
+ ],
+ "𤶓": [
+ "ㄓ3"
+ ],
+ "𤶕": [
+ "ㄊㄨㄣ4"
+ ],
+ "𤶖": [
+ "ㄈㄨ2"
+ ],
+ "𤶘": [
+ "ㄏㄨ1"
+ ],
+ "𤶚": [
+ "ㄋㄧㄝ4"
+ ],
+ "𤶛": [
+ "ㄧ4"
+ ],
+ "𤶜": [
+ "ㄓㄨㄤ4"
+ ],
+ "𤶠": [
+ "ㄔㄚ2"
+ ],
+ "𤶤": [
+ "ㄙㄨㄢ1"
+ ],
+ "𤶧": [
+ "ㄩㄣ4"
+ ],
+ "𤶮": [
+ "ㄉㄨ4"
+ ],
+ "𤶰": [
+ "ㄒㄧ1"
+ ],
+ "𤶱": [
+ "ㄔㄨㄢ4"
+ ],
+ "𤶲": [
+ "ㄒㄧㄥ2"
+ ],
+ "𤶳": [
+ "ㄐㄧㄠ3"
+ ],
+ "𤶴": [
+ "ㄕㄣ1"
+ ],
+ "𤷀": [
+ "ㄨㄤ1"
+ ],
+ "𤷁": [
+ "ㄅㄟ1"
+ ],
+ "𤷂": [
+ "ㄈㄟ2"
+ ],
+ "𤷃": [
+ "ㄐㄧㄢ4"
+ ],
+ "𤷄": [
+ "ㄑㄩㄢ2"
+ ],
+ "𤷅": [
+ "ㄧ4",
+ "ㄧㄚ2"
+ ],
+ "𤷆": [
+ "ㄉㄨㄥ1"
+ ],
+ "𤷇": [
+ "ㄒㄩ4"
+ ],
+ "𤷈": [
+ "ㄋㄚ4",
+ "ㄋㄧㄝ4"
+ ],
+ "𤷉": [
+ "ㄐㄧ2"
+ ],
+ "𤷌": [
+ "ㄓㄣ3"
+ ],
+ "𤷍": [
+ "ㄑㄧ2"
+ ],
+ "𤷎": [
+ "ㄉㄨㄟ1"
+ ],
+ "𤷏": [
+ "ㄧㄣ2"
+ ],
+ "𤷑": [
+ "ㄐㄧㄡ4"
+ ],
+ "𤷒": [
+ "ㄆㄧ2",
+ "ㄅㄧ4",
+ "ㄅㄟ1"
+ ],
+ "𤷓": [
+ "ㄒㄧㄣ4"
+ ],
+ "𤷔": [
+ "ㄌㄨㄣ2"
+ ],
+ "𤷕": [
+ "ㄘㄞ3"
+ ],
+ "𤷖": [
+ "ㄌㄧㄥ4"
+ ],
+ "𤷗": [
+ "ㄅㄧㄝ1"
+ ],
+ "𤷘": [
+ "ㄉㄠ4"
+ ],
+ "𤷙": [
+ "ㄉㄜ2"
+ ],
+ "𤷟": [
+ "ㄌㄚ5"
+ ],
+ "𤷡": [
+ "ㄒㄧ1",
+ "ㄋㄩㄝ4"
+ ],
+ "𤷢": [
+ "ㄐㄩ4"
+ ],
+ "𤷤": [
+ "ㄒㄧㄠ2"
+ ],
+ "𤷦": [
+ "ㄐㄧㄥ1"
+ ],
+ "𤷹": [
+ "ㄨㄞ4"
+ ],
+ "𤷻": [
+ "ㄋㄠ3"
+ ],
+ "𤷼": [
+ "ㄒㄧㄤ1"
+ ],
+ "𤷽": [
+ "ㄑㄩㄝ4"
+ ],
+ "𤷾": [
+ "ㄑㄧㄝ4"
+ ],
+ "𤷿": [
+ "ㄊㄨ1"
+ ],
+ "𤸀": [
+ "ㄒㄩ3"
+ ],
+ "𤸁": [
+ "ㄏㄨㄟ4"
+ ],
+ "𤸅": [
+ "ㄇㄧㄣ2"
+ ],
+ "𤸆": [
+ "ㄨㄟ3"
+ ],
+ "𤸈": [
+ "ㄧㄡ2"
+ ],
+ "𤸉": [
+ "ㄊㄨㄟ2"
+ ],
+ "𤸊": [
+ "ㄉㄞ4"
+ ],
+ "𤸎": [
+ "ㄎㄜ3",
+ "ㄏㄞ4"
+ ],
+ "𤸏": [
+ "ㄋㄚ4",
+ "ㄋㄧㄝ4"
+ ],
+ "𤸑": [
+ "ㄈㄨ4"
+ ],
+ "𤸒": [
+ "ㄩ4"
+ ],
+ "𤸓": [
+ "ㄓ3"
+ ],
+ "𤸕": [
+ "ㄏㄢ1"
+ ],
+ "𤸖": [
+ "ㄞ1"
+ ],
+ "𤸗": [
+ "ㄈㄨ4"
+ ],
+ "𤸡": [
+ "ㄧㄤ1"
+ ],
+ "𤸤": [
+ "ㄕ2"
+ ],
+ "𤸦": [
+ "ㄔㄢ2"
+ ],
+ "𤸪": [
+ "ㄔ4"
+ ],
+ "𤸫": [
+ "ㄩㄣ4"
+ ],
+ "𤸬": [
+ "ㄕㄨㄞ1"
+ ],
+ "𤸮": [
+ "ㄙㄨ4"
+ ],
+ "𤸯": [
+ "ㄙㄤ3"
+ ],
+ "𤸱": [
+ "ㄜ4",
+ "ㄎㄜ4",
+ "ㄎㄞ4",
+ "ㄧㄚ4"
+ ],
+ "𤸲": [
+ "ㄓㄥ3"
+ ],
+ "𤸳": [
+ "ㄞ2"
+ ],
+ "𤸴": [
+ "ㄙㄨㄛ3"
+ ],
+ "𤸵": [
+ "ㄅㄨ4"
+ ],
+ "𤸷": [
+ "ㄑㄩㄣ2"
+ ],
+ "𤸸": [
+ "ㄧ4"
+ ],
+ "𤸹": [
+ "ㄧㄢ3"
+ ],
+ "𤸻": [
+ "ㄋㄚ4"
+ ],
+ "𤸼": [
+ "ㄨ3"
+ ],
+ "𤹇": [
+ "ㄌㄧ4"
+ ],
+ "𤹈": [
+ "ㄌㄧ4"
+ ],
+ "𤹊": [
+ "ㄒㄧ1"
+ ],
+ "𤹋": [
+ "ㄐㄩㄝ2"
+ ],
+ "𤹌": [
+ "ㄕ1"
+ ],
+ "𤹎": [
+ "ㄧㄚ3"
+ ],
+ "𤹛": [
+ "ㄔㄣ2"
+ ],
+ "𤹜": [
+ "ㄧㄥ2"
+ ],
+ "𤹝": [
+ "ㄅㄧ4"
+ ],
+ "𤹞": [
+ "ㄔㄜ4"
+ ],
+ "𤹡": [
+ "ㄓㄚ1"
+ ],
+ "𤹢": [
+ "ㄊㄨㄛ3"
+ ],
+ "𤹣": [
+ "ㄏㄨ4"
+ ],
+ "𤹤": [
+ "ㄊㄥ2"
+ ],
+ "𤹥": [
+ "ㄧㄥ4"
+ ],
+ "𤹦": [
+ "ㄅㄧ3"
+ ],
+ "𤹧": [
+ "ㄋㄧㄥ2"
+ ],
+ "𤹨": [
+ "ㄌㄧㄢ4"
+ ],
+ "𤹩": [
+ "ㄒㄧㄣ4"
+ ],
+ "𤹪": [
+ "ㄩ3"
+ ],
+ "𤹲": [
+ "ㄅㄟ4"
+ ],
+ "𤹴": [
+ "ㄇㄛ2"
+ ],
+ "𤹵": [
+ "ㄉㄨㄟ1"
+ ],
+ "𤹷": [
+ "ㄉㄠ3"
+ ],
+ "𤹸": [
+ "ㄑㄧ2"
+ ],
+ "𤺀": [
+ "ㄕㄨㄞ1"
+ ],
+ "𤺃": [
+ "ㄒㄧㄠ1",
+ "ㄐㄧㄠ1",
+ "ㄧㄠ1"
+ ],
+ "𤺄": [
+ "ㄓㄨㄥ3",
+ "ㄊㄨㄥ2"
+ ],
+ "𤺅": [
+ "ㄓㄨㄟ4"
+ ],
+ "𤺇": [
+ "ㄅㄧㄢ4"
+ ],
+ "𤺉": [
+ "ㄨㄟ3"
+ ],
+ "𤺊": [
+ "ㄒㄧ1",
+ "ㄙ1"
+ ],
+ "𤺌": [
+ "ㄉㄥ1"
+ ],
+ "𤺎": [
+ "ㄒㄧㄝ1"
+ ],
+ "𤺏": [
+ "ㄆㄢ1"
+ ],
+ "𤺐": [
+ "ㄋㄧㄝ4"
+ ],
+ "𤺓": [
+ "ㄅㄧㄝ2"
+ ],
+ "𤺔": [
+ "ㄕㄜ4"
+ ],
+ "𤺕": [
+ "ㄈㄟ4"
+ ],
+ "𤺖": [
+ "ㄇㄧㄣ3"
+ ],
+ "𤺗": [
+ "ㄑㄧ4",
+ "ㄐㄧ4"
+ ],
+ "𤺪": [
+ "ㄕㄢ4"
+ ],
+ "𤺫": [
+ "ㄙㄨㄛ3"
+ ],
+ "𤺷": [
+ "ㄐㄧ2"
+ ],
+ "𤺺": [
+ "ㄉㄢ3",
+ "ㄉㄢ4",
+ "ㄊㄢ2"
+ ],
+ "𤺻": [
+ "ㄐㄩㄢ4"
+ ],
+ "𤺼": [
+ "ㄌㄨ4"
+ ],
+ "𤺾": [
+ "ㄠ4"
+ ],
+ "𤻂": [
+ "ㄧ4"
+ ],
+ "𤻃": [
+ "ㄕㄨ3"
+ ],
+ "𤻄": [
+ "ㄙㄨㄟ4"
+ ],
+ "𤻅": [
+ "ㄨㄟ4"
+ ],
+ "𤻆": [
+ "ㄨㄢ2"
+ ],
+ "𤻇": [
+ "ㄔㄨ3"
+ ],
+ "𤻌": [
+ "ㄨㄛ4"
+ ],
+ "𤻖": [
+ "ㄅㄧ4"
+ ],
+ "𤻘": [
+ "ㄧㄣ3"
+ ],
+ "𤻙": [
+ "ㄏㄨㄛ2"
+ ],
+ "𤻜": [
+ "ㄎㄞ4",
+ "ㄜ4"
+ ],
+ "𤻝": [
+ "ㄋㄧㄥ2"
+ ],
+ "𤻢": [
+ "ㄞ4"
+ ],
+ "𤻤": [
+ "ㄌㄧ4"
+ ],
+ "𤻦": [
+ "ㄓㄞ1"
+ ],
+ "𤻱": [
+ "ㄌㄨ4"
+ ],
+ "𤻶": [
+ "ㄅㄧㄢ4"
+ ],
+ "𤻷": [
+ "ㄆㄢ2"
+ ],
+ "𤻿": [
+ "ㄍㄨㄟ4"
+ ],
+ "𤼀": [
+ "ㄙㄨ1"
+ ],
+ "𤼁": [
+ "ㄇㄥ2"
+ ],
+ "𤼂": [
+ "ㄒㄧㄢ3"
+ ],
+ "𤼃": [
+ "ㄌㄨㄥ4",
+ "ㄌㄨㄥ2"
+ ],
+ "𤼅": [
+ "ㄑㄧ4"
+ ],
+ "𤼋": [
+ "ㄔㄢ4"
+ ],
+ "𤼌": [
+ "ㄧ4"
+ ],
+ "𤼍": [
+ "ㄏㄤ2"
+ ],
+ "𤼏": [
+ "ㄌㄧㄢ3"
+ ],
+ "𤼐": [
+ "ㄍㄨㄢ4",
+ "ㄏㄨㄢ4"
+ ],
+ "𤼒": [
+ "ㄨㄟ3",
+ "ㄏㄨㄚ4"
+ ],
+ "𤼗": [
+ "ㄐㄩㄝ2"
+ ],
+ "𤼘": [
+ "ㄌㄟ2"
+ ],
+ "𤼙": [
+ "ㄌㄨㄢ2"
+ ],
+ "𤼚": [
+ "ㄌㄧ4"
+ ],
+ "𤼜": [
+ "ㄆㄧ2"
+ ],
+ "𤼢": [
+ "ㄏㄨㄢ3"
+ ],
+ "𤼮": [
+ "ㄍㄨㄟ1"
+ ],
+ "𤼳": [
+ "ㄐㄩ2"
+ ],
+ "𤼶": [
+ "ㄉㄥ1"
+ ],
+ "𤼺": [
+ "ㄈㄟ4"
+ ],
+ "𤽁": [
+ "ㄓ1"
+ ],
+ "𤽃": [
+ "ㄇㄟ4"
+ ],
+ "𤽅": [
+ "ㄏㄨㄢ4"
+ ],
+ "𤽉": [
+ "ㄆㄚ1"
+ ],
+ "𤽊": [
+ "ㄅㄧ3"
+ ],
+ "𤽌": [
+ "ㄆㄛ1"
+ ],
+ "𤽓": [
+ "ㄦ2"
+ ],
+ "𤽕": [
+ "ㄏㄨㄢ4"
+ ],
+ "𤽣": [
+ "ㄔㄤ4"
+ ],
+ "𤽥": [
+ "ㄌㄨㄛ4"
+ ],
+ "𤽦": [
+ "ㄈㄡ3"
+ ],
+ "𤽯": [
+ "ㄔㄡ2"
+ ],
+ "𤽱": [
+ "ㄗㄨ2"
+ ],
+ "𤽲": [
+ "ㄋㄢ2"
+ ],
+ "𤽳": [
+ "ㄒㄧㄠ3"
+ ],
+ "𤽹": [
+ "ㄅㄞ4"
+ ],
+ "𤽺": [
+ "ㄌㄨ4"
+ ],
+ "𤽼": [
+ "ㄌㄨㄛ4"
+ ],
+ "𤽿": [
+ "ㄋㄧㄢ4"
+ ],
+ "𤾀": [
+ "ㄗㄜ2"
+ ],
+ "𤾄": [
+ "ㄓㄨ4"
+ ],
+ "𤾅": [
+ "ㄏㄨ2"
+ ],
+ "𤾈": [
+ "ㄏㄨㄟ1"
+ ],
+ "𤾉": [
+ "ㄊㄤ3"
+ ],
+ "𤾊": [
+ "ㄔㄡ2"
+ ],
+ "𤾑": [
+ "ㄏㄨㄤ2"
+ ],
+ "𤾒": [
+ "ㄉㄡ1"
+ ],
+ "𤾛": [
+ "ㄇㄧㄠ4"
+ ],
+ "𤾝": [
+ "ㄅㄛ2"
+ ],
+ "𤾠": [
+ "ㄉㄧ4"
+ ],
+ "𤾢": [
+ "ㄉㄥ3"
+ ],
+ "𤾣": [
+ "ㄆㄨ1"
+ ],
+ "𤾥": [
+ "ㄙㄨㄥ1"
+ ],
+ "𤾦": [
+ "ㄔㄡ2"
+ ],
+ "𤾫": [
+ "ㄧㄠ4"
+ ],
+ "𤾬": [
+ "ㄇㄥ3"
+ ],
+ "𤾭": [
+ "ㄌㄨㄥ2"
+ ],
+ "𤾲": [
+ "ㄌㄧㄢ2"
+ ],
+ "𤾵": [
+ "ㄅㄧㄝ2"
+ ],
+ "𤾺": [
+ "ㄌㄩ3"
+ ],
+ "𤾿": [
+ "ㄙㄜ4"
+ ],
+ "𤿀": [
+ "ㄗㄨㄛ2"
+ ],
+ "𤿄": [
+ "ㄘㄨㄣ2"
+ ],
+ "𤿅": [
+ "ㄌㄧㄥ2"
+ ],
+ "𤿆": [
+ "ㄓㄥ3"
+ ],
+ "𤿇": [
+ "ㄆㄧ3"
+ ],
+ "𤿈": [
+ "ㄅㄠ2"
+ ],
+ "𤿋": [
+ "ㄑㄩㄝ4"
+ ],
+ "𤿎": [
+ "ㄆㄧ1"
+ ],
+ "𤿏": [
+ "ㄋㄢ4"
+ ],
+ "𤿐": [
+ "ㄆㄧ1"
+ ],
+ "𤿑": [
+ "ㄅㄛ3"
+ ],
+ "𤿒": [
+ "ㄅㄟ4"
+ ],
+ "𤿓": [
+ "ㄈㄚ1"
+ ],
+ "𤿕": [
+ "ㄇㄧㄣ3"
+ ],
+ "𤿖": [
+ "ㄇㄛ4"
+ ],
+ "𤿗": [
+ "ㄨㄚ4"
+ ],
+ "𤿘": [
+ "ㄓㄠ1"
+ ],
+ "𤿙": [
+ "ㄓ4",
+ "ㄆㄧ2"
+ ],
+ "𤿚": [
+ "ㄘㄨ1"
+ ],
+ "𤿟": [
+ "ㄒㄩㄣ2"
+ ],
+ "𤿠": [
+ "ㄐㄧ2"
+ ],
+ "𤿡": [
+ "ㄍㄨㄟ4",
+ "ㄑㄧ2"
+ ],
+ "𤿣": [
+ "ㄔㄥ2"
+ ],
+ "𤿧": [
+ "ㄏㄢ4"
+ ],
+ "𤿨": [
+ "ㄒㄧㄠ4"
+ ],
+ "𤿩": [
+ "ㄑㄩㄝ4"
+ ],
+ "𤿫": [
+ "ㄔㄨㄛ4"
+ ],
+ "𤿭": [
+ "ㄈㄨ3"
+ ],
+ "𤿳": [
+ "ㄑㄧㄣ3"
+ ],
+ "𤿴": [
+ "ㄌㄨ4"
+ ],
+ "𤿵": [
+ "ㄑㄩㄝ4"
+ ],
+ "𤿶": [
+ "ㄉㄧㄢ3"
+ ],
+ "𤿷": [
+ "ㄑㄧㄢ1"
+ ],
+ "𤿼": [
+ "ㄔㄤ3"
+ ],
+ "𤿽": [
+ "ㄊㄚ4"
+ ],
+ "𤿾": [
+ "ㄅㄟ1"
+ ],
+ "𥀁": [
+ "ㄉㄨ4"
+ ],
+ "𥀂": [
+ "ㄅㄥ3",
+ "ㄅㄤ1"
+ ],
+ "𥀃": [
+ "ㄏㄡ4"
+ ],
+ "𥀈": [
+ "ㄓㄚ3"
+ ],
+ "𥀉": [
+ "ㄓㄚ3"
+ ],
+ "𥀎": [
+ "ㄑㄩㄝ4"
+ ],
+ "𥀏": [
+ "ㄇㄚ2"
+ ],
+ "𥀐": [
+ "ㄏㄢ2"
+ ],
+ "𥀓": [
+ "ㄌㄧㄡ2"
+ ],
+ "𥀔": [
+ "ㄌㄨ4"
+ ],
+ "𥀖": [
+ "ㄗ1"
+ ],
+ "𥀘": [
+ "ㄆㄧ3"
+ ],
+ "𥀙": [
+ "ㄓㄡ4"
+ ],
+ "𥀛": [
+ "ㄗㄠ1"
+ ],
+ "𥀝": [
+ "ㄋㄧㄡ3"
+ ],
+ "𥀠": [
+ "ㄏㄨㄟ4"
+ ],
+ "𥀣": [
+ "ㄒㄩㄝ2",
+ "ㄑㄧㄠ4"
+ ],
+ "𥀥": [
+ "ㄌㄚ4"
+ ],
+ "𥀫": [
+ "ㄋㄡ2",
+ "ㄖㄢ3"
+ ],
+ "𥀬": [
+ "ㄧㄢ3",
+ "ㄧㄝ4"
+ ],
+ "𥀭": [
+ "ㄖㄢ3"
+ ],
+ "𥀮": [
+ "ㄋㄠ3"
+ ],
+ "𥀰": [
+ "ㄌㄚ4"
+ ],
+ "𥀱": [
+ "ㄍㄨㄤ3"
+ ],
+ "𥀲": [
+ "ㄉㄨ2"
+ ],
+ "𥀵": [
+ "ㄌㄨ2"
+ ],
+ "𥀹": [
+ "ㄐㄧㄢ3"
+ ],
+ "𥀺": [
+ "ㄒㄧㄝ4"
+ ],
+ "𥀻": [
+ "ㄑㄧ4"
+ ],
+ "𥀾": [
+ "ㄒㄧㄤ4"
+ ],
+ "𥁁": [
+ "ㄍㄨㄛ3"
+ ],
+ "𥁂": [
+ "ㄐㄧㄝ2"
+ ],
+ "𥁃": [
+ "ㄇㄤ4"
+ ],
+ "𥁆": [
+ "ㄒㄧㄚ1"
+ ],
+ "𥁇": [
+ "ㄎㄨㄟ1"
+ ],
+ "𥁎": [
+ "ㄩㄥ4"
+ ],
+ "𥁐": [
+ "ㄏㄞ3"
+ ],
+ "𥁑": [
+ "ㄇㄧ4"
+ ],
+ "𥁒": [
+ "ㄧㄠ4"
+ ],
+ "𥁕": [
+ "ㄨㄣ1"
+ ],
+ "𥁟": [
+ "ㄌㄧ4"
+ ],
+ "𥁠": [
+ "ㄐㄩㄢ4",
+ "ㄑㄩㄢ2",
+ "ㄑㄩㄢ1"
+ ],
+ "𥁡": [
+ "ㄨ1"
+ ],
+ "𥁢": [
+ "ㄑㄧㄠ2"
+ ],
+ "𥁮": [
+ "ㄉㄧㄠ4"
+ ],
+ "𥁯": [
+ "ㄔㄨ4",
+ "ㄔㄨㄛ4"
+ ],
+ "𥁲": [
+ "ㄙㄨㄛ1"
+ ],
+ "𥁵": [
+ "ㄔㄨㄥ1"
+ ],
+ "𥁸": [
+ "ㄑㄩㄢ1"
+ ],
+ "𥁹": [
+ "ㄕㄜ4"
+ ],
+ "𥂁": [
+ "ㄧㄢ2"
+ ],
+ "𥂂": [
+ "ㄇㄥ3"
+ ],
+ "𥂃": [
+ "ㄐㄩ4"
+ ],
+ "𥂋": [
+ "ㄊㄨ2"
+ ],
+ "𥂒": [
+ "ㄋㄨㄥ2"
+ ],
+ "𥂓": [
+ "ㄇㄛ2"
+ ],
+ "𥂙": [
+ "ㄈㄣ4"
+ ],
+ "𥂢": [
+ "ㄠ2"
+ ],
+ "𥂣": [
+ "ㄍㄨㄛ1"
+ ],
+ "𥂤": [
+ "ㄏㄨ2"
+ ],
+ "𥂥": [
+ "ㄘㄢ2"
+ ],
+ "𥂦": [
+ "ㄉㄨㄣ1"
+ ],
+ "𥂧": [
+ "ㄏㄞ3"
+ ],
+ "𥂨": [
+ "ㄐㄧㄠ3"
+ ],
+ "𥂰": [
+ "ㄍㄨ1"
+ ],
+ "𥂵": [
+ "ㄐㄧㄣ1"
+ ],
+ "𥂸": [
+ "ㄧㄤ2"
+ ],
+ "𥃀": [
+ "ㄔㄚ4"
+ ],
+ "𥃌": [
+ "ㄏㄨㄟ1"
+ ],
+ "𥃔": [
+ "ㄑㄩ2"
+ ],
+ "𥃕": [
+ "ㄎㄜ1"
+ ],
+ "𥃟": [
+ "ㄑㄧㄥ1"
+ ],
+ "𥃠": [
+ "ㄧ4"
+ ],
+ "𥃣": [
+ "ㄎㄞ3"
+ ],
+ "𥃤": [
+ "ㄐㄧㄠ3"
+ ],
+ "𥃧": [
+ "ㄔㄡ1",
+ "ㄐㄧㄠ3",
+ "ㄧㄠ3"
+ ],
+ "𥃨": [
+ "ㄅㄨ3"
+ ],
+ "𥃩": [
+ "ㄍㄣ4",
+ "ㄧㄢ3"
+ ],
+ "𥃪": [
+ "ㄐㄧㄠ1"
+ ],
+ "𥃫": [
+ "ㄓ1"
+ ],
+ "𥃮": [
+ "ㄨㄣ4"
+ ],
+ "𥃰": [
+ "ㄅㄧㄣ1"
+ ],
+ "𥃴": [
+ "ㄒㄩㄥ4"
+ ],
+ "𥃵": [
+ "ㄈㄢ4"
+ ],
+ "𥃸": [
+ "ㄧ2"
+ ],
+ "𥃹": [
+ "ㄔㄨㄢ4"
+ ],
+ "𥃺": [
+ "ㄧㄠ4"
+ ],
+ "𥃽": [
+ "ㄧㄤ1"
+ ],
+ "𥃾": [
+ "ㄉㄨ4"
+ ],
+ "𥃿": [
+ "ㄧㄢ3"
+ ],
+ "𥄁": [
+ "ㄇㄥ2"
+ ],
+ "𥄇": [
+ "ㄔ1",
+ "ㄏㄨㄣ1"
+ ],
+ "𥄈": [
+ "ㄇㄨ4"
+ ],
+ "𥄉": [
+ "ㄐㄧㄠ1"
+ ],
+ "𥄋": [
+ "ㄋㄩ4"
+ ],
+ "𥄍": [
+ "ㄍㄨㄛ2"
+ ],
+ "𥄎": [
+ "ㄒㄩㄝ4"
+ ],
+ "𥄑": [
+ "ㄈㄨ2"
+ ],
+ "𥄒": [
+ "ㄒㄩㄝ1"
+ ],
+ "𥄓": [
+ "ㄈㄨ1"
+ ],
+ "𥄔": [
+ "ㄆㄟ4",
+ "ㄆㄛ4"
+ ],
+ "𥄕": [
+ "ㄇㄛ4"
+ ],
+ "𥄖": [
+ "ㄒㄧ1"
+ ],
+ "𥄗": [
+ "ㄨㄛ4",
+ "ㄋㄞ4"
+ ],
+ "𥄘": [
+ "ㄕㄢ3"
+ ],
+ "𥄛": [
+ "ㄒㄧ1"
+ ],
+ "𥄜": [
+ "ㄑㄧ4"
+ ],
+ "𥄝": [
+ "ㄇㄧㄢ4"
+ ],
+ "𥄦": [
+ "ㄉㄢ3"
+ ],
+ "𥄨": [
+ "ㄔㄡ3"
+ ],
+ "𥄱": [
+ "ㄈㄟ4"
+ ],
+ "𥄲": [
+ "ㄇㄧㄝ2"
+ ],
+ "𥄴": [
+ "ㄒㄩㄝ4",
+ "ㄐㄩㄝ2"
+ ],
+ "𥄵": [
+ "ㄒㄩ4",
+ "ㄩ4"
+ ],
+ "𥄶": [
+ "ㄙ1"
+ ],
+ "𥄷": [
+ "ㄐㄩ3"
+ ],
+ "𥄸": [
+ "ㄇㄠ3"
+ ],
+ "𥄹": [
+ "ㄅㄠ4"
+ ],
+ "𥄻": [
+ "ㄧ2"
+ ],
+ "𥄼": [
+ "ㄍㄨㄚ1"
+ ],
+ "𥄽": [
+ "ㄋㄧ4"
+ ],
+ "𥄿": [
+ "ㄧ2",
+ "ㄉㄧ4"
+ ],
+ "𥅁": [
+ "ㄗㄨㄛ4"
+ ],
+ "𥅄": [
+ "ㄋㄨ3"
+ ],
+ "𥅑": [
+ "ㄉㄧㄢ4"
+ ],
+ "𥅒": [
+ "ㄈㄢ4"
+ ],
+ "𥅓": [
+ "ㄧ4"
+ ],
+ "𥅔": [
+ "ㄕ4"
+ ],
+ "𥅗": [
+ "ㄘㄨ1"
+ ],
+ "𥅘": [
+ "ㄓㄣ3",
+ "ㄇㄧ2"
+ ],
+ "𥅞": [
+ "ㄕ4"
+ ],
+ "𥅟": [
+ "ㄐㄧㄠ3"
+ ],
+ "𥅠": [
+ "ㄏㄡ4"
+ ],
+ "𥅡": [
+ "ㄦ2"
+ ],
+ "𥅦": [
+ "ㄌㄟ4"
+ ],
+ "𥅧": [
+ "ㄒㄩㄝ4"
+ ],
+ "𥅨": [
+ "ㄍㄥ4"
+ ],
+ "𥅪": [
+ "ㄕㄡ1"
+ ],
+ "𥅬": [
+ "ㄐㄩㄢ1"
+ ],
+ "𥅴": [
+ "ㄐㄧㄝ2"
+ ],
+ "𥅵": [
+ "ㄨㄟ2"
+ ],
+ "𥅷": [
+ "ㄕㄡ3"
+ ],
+ "𥅸": [
+ "ㄐㄧㄥ4"
+ ],
+ "𥅺": [
+ "ㄒㄩ2"
+ ],
+ "𥅻": [
+ "ㄔㄨㄥ4"
+ ],
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+ "ㄐㄧㄤ1"
+ ],
+ "𥆆": [
+ "ㄇㄡ4"
+ ],
+ "𥆉": [
+ "ㄩ4"
+ ],
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+ "ㄐㄩㄝ2"
+ ],
+ "𥆑": [
+ "ㄊㄧㄥ4"
+ ],
+ "𥆔": [
+ "ㄒㄧㄠ1"
+ ],
+ "𥆖": [
+ "ㄉㄡ1"
+ ],
+ "𥆘": [
+ "ㄍㄨㄛ2"
+ ],
+ "𥆙": [
+ "ㄇㄤ2"
+ ],
+ "𥆚": [
+ "ㄨㄤ1"
+ ],
+ "𥆛": [
+ "ㄒㄩ4"
+ ],
+ "𥆜": [
+ "ㄨㄤ4"
+ ],
+ "𥆝": [
+ "ㄙㄨㄛ1"
+ ],
+ "𥆞": [
+ "ㄐㄩㄢ4"
+ ],
+ "𥆟": [
+ "ㄩㄝ4"
+ ],
+ "𥆡": [
+ "ㄏㄢ2"
+ ],
+ "𥆣": [
+ "ㄕㄣ1"
+ ],
+ "𥆥": [
+ "ㄒㄧㄝ2"
+ ],
+ "𥆦": [
+ "ㄌㄧㄡ2"
+ ],
+ "𥆧": [
+ "ㄖㄨㄣ2"
+ ],
+ "𥆯": [
+ "ㄅㄧ4"
+ ],
+ "𥆲": [
+ "ㄋㄠ4"
+ ],
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+ "ㄨㄢ4"
+ ],
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+ "ㄐㄧㄡ4"
+ ],
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+ "ㄑㄩㄝ1"
+ ],
+ "𥇄": [
+ "ㄋㄧ4"
+ ],
+ "𥇆": [
+ "ㄇㄧ2"
+ ],
+ "𥇇": [
+ "ㄙㄨㄛ1"
+ ],
+ "𥇉": [
+ "ㄑㄧㄤ3"
+ ],
+ "𥇌": [
+ "ㄏㄢ4",
+ "ㄑㄧㄚ4"
+ ],
+ "𥇍": [
+ "ㄓㄨㄛ2"
+ ],
+ "𥇎": [
+ "ㄇㄧ2"
+ ],
+ "𥇏": [
+ "ㄒㄩ4"
+ ],
+ "𥇑": [
+ "ㄌㄤ3"
+ ],
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+ "ㄐㄧㄝ2"
+ ],
+ "𥇓": [
+ "ㄉㄧㄥ4"
+ ],
+ "𥇔": [
+ "ㄔㄤ4",
+ "ㄓㄤ1"
+ ],
+ "𥇕": [
+ "ㄓ4"
+ ],
+ "𥇖": [
+ "ㄈㄟ1"
+ ],
+ "𥇗": [
+ "ㄐㄧㄚ2"
+ ],
+ "𥇘": [
+ "ㄐㄩㄣ4"
+ ],
+ "𥇙": [
+ "ㄏㄨㄛ4"
+ ],
+ "𥇚": [
+ "ㄑㄧ1"
+ ],
+ "𥇛": [
+ "ㄐㄩ1",
+ "ㄐㄩ4",
+ "ㄒㄧ4"
+ ],
+ "𥇜": [
+ "ㄓㄨㄣ1",
+ "ㄍㄨㄛ1"
+ ],
+ "𥇞": [
+ "ㄉㄧㄢ4"
+ ],
+ "𥇟": [
+ "ㄐㄧㄠ3"
+ ],
+ "𥇠": [
+ "ㄧㄚ1"
+ ],
+ "𥇢": [
+ "ㄓㄢ3"
+ ],
+ "𥇭": [
+ "ㄓ1"
+ ],
+ "𥇯": [
+ "ㄇㄞ4"
+ ],
+ "𥇰": [
+ "ㄏㄨ1"
+ ],
+ "𥇱": [
+ "ㄒㄧㄝ4"
+ ],
+ "𥇲": [
+ "ㄕ2"
+ ],
+ "𥇳": [
+ "ㄍㄨㄟ1"
+ ],
+ "𥇿": [
+ "ㄒㄩ4"
+ ],
+ "𥈂": [
+ "ㄐㄧ2"
+ ],
+ "𥈄": [
+ "ㄔㄨㄤ4"
+ ],
+ "𥈆": [
+ "ㄇㄠ4"
+ ],
+ "𥈇": [
+ "ㄖㄨㄢ2"
+ ],
+ "𥈈": [
+ "ㄒㄩ1"
+ ],
+ "𥈉": [
+ "ㄏㄨㄢ4"
+ ],
+ "𥈊": [
+ "ㄕㄚ4"
+ ],
+ "𥈋": [
+ "ㄐㄩ3"
+ ],
+ "𥈏": [
+ "ㄎㄨㄤ4"
+ ],
+ "𥈑": [
+ "ㄏㄡ2"
+ ],
+ "𥈒": [
+ "ㄍㄨㄢ1"
+ ],
+ "𥈓": [
+ "ㄍㄨㄚ1"
+ ],
+ "𥈕": [
+ "ㄇㄧ2"
+ ],
+ "𥈖": [
+ "ㄉㄧㄝ2"
+ ],
+ "𥈗": [
+ "ㄅㄧ4"
+ ],
+ "𥈘": [
+ "ㄌㄧㄤ3"
+ ],
+ "𥈙": [
+ "ㄌㄚ4"
+ ],
+ "𥈚": [
+ "ㄕㄢ3"
+ ],
+ "𥈛": [
+ "ㄌㄨ4"
+ ],
+ "𥈜": [
+ "ㄒㄧ4"
+ ],
+ "𥈟": [
+ "ㄙㄡ3"
+ ],
+ "𥈬": [
+ "ㄡ1"
+ ],
+ "𥈮": [
+ "ㄌㄥ2"
+ ],
+ "𥈷": [
+ "ㄎㄨ1"
+ ],
+ "𥈸": [
+ "ㄍㄨㄟ1"
+ ],
+ "𥈻": [
+ "ㄒㄧ1"
+ ],
+ "𥈼": [
+ "ㄆㄢ2",
+ "ㄆㄢ1"
+ ],
+ "𥈽": [
+ "ㄙㄜ4"
+ ],
+ "𥈾": [
+ "ㄐㄩㄝ4"
+ ],
+ "𥈿": [
+ "ㄏㄨㄥ4"
+ ],
+ "𥉀": [
+ "ㄍㄨㄢ4"
+ ],
+ "𥉁": [
+ "ㄐㄩ4"
+ ],
+ "𥉃": [
+ "ㄋㄞ4"
+ ],
+ "𥉄": [
+ "ㄏㄨㄚ2"
+ ],
+ "𥉅": [
+ "ㄍㄜ2"
+ ],
+ "𥉆": [
+ "ㄌㄧ4"
+ ],
+ "𥉇": [
+ "ㄍㄡ4"
+ ],
+ "𥉈": [
+ "ㄊㄧ4"
+ ],
+ "𥉊": [
+ "ㄇㄚ4"
+ ],
+ "𥉋": [
+ "ㄊㄥ2"
+ ],
+ "𥉌": [
+ "ㄉㄚ2"
+ ],
+ "𥉐": [
+ "ㄑㄧ1"
+ ],
+ "𥉑": [
+ "ㄩ4",
+ "ㄏㄜ4"
+ ],
+ "𥉒": [
+ "ㄐㄧㄠ3"
+ ],
+ "𥉓": [
+ "ㄇㄧㄝ4"
+ ],
+ "𥉔": [
+ "ㄍㄥ3"
+ ],
+ "𥉕": [
+ "ㄇㄥ4",
+ "ㄇㄥ2"
+ ],
+ "𥉖": [
+ "ㄨㄟ4"
+ ],
+ "𥉘": [
+ "ㄊㄧ2"
+ ],
+ "𥉙": [
+ "ㄑㄧ2"
+ ],
+ "𥉜": [
+ "ㄔㄣ2"
+ ],
+ "𥉝": [
+ "ㄉㄡ1"
+ ],
+ "𥉟": [
+ "ㄆㄢ2"
+ ],
+ "𥉰": [
+ "ㄏㄢ4",
+ "ㄑㄧㄚ4"
+ ],
+ "𥉴": [
+ "ㄇㄧ4"
+ ],
+ "𥉵": [
+ "ㄇㄚ2"
+ ],
+ "𥉶": [
+ "ㄌㄨ4"
+ ],
+ "𥉷": [
+ "ㄑㄧ1"
+ ],
+ "𥉸": [
+ "ㄎㄥ1"
+ ],
+ "𥉺": [
+ "ㄉㄧㄝ2"
+ ],
+ "𥉻": [
+ "ㄑㄧ4"
+ ],
+ "𥉼": [
+ "ㄐㄧㄠ1"
+ ],
+ "𥉽": [
+ "ㄎㄤ1"
+ ],
+ "𥉾": [
+ "ㄑㄧㄠ1"
+ ],
+ "𥉿": [
+ "ㄇㄧ4"
+ ],
+ "𥊀": [
+ "ㄕㄢ1",
+ "ㄙㄢ3"
+ ],
+ "𥊇": [
+ "ㄐㄧㄢ1"
+ ],
+ "𥊈": [
+ "ㄌㄧ2"
+ ],
+ "𥊉": [
+ "ㄎㄜ4"
+ ],
+ "𥊊": [
+ "ㄒㄩ4"
+ ],
+ "𥊑": [
+ "ㄇㄢ2",
+ "ㄇㄢ4"
+ ],
+ "𥊒": [
+ "ㄈㄥ4"
+ ],
+ "𥊓": [
+ "ㄔㄢ4"
+ ],
+ "𥊔": [
+ "ㄏㄨㄟ3"
+ ],
+ "𥊧": [
+ "ㄎㄡ4"
+ ],
+ "𥊪": [
+ "ㄨㄟ3"
+ ],
+ "𥊫": [
+ "ㄍㄨㄢ4"
+ ],
+ "𥊬": [
+ "ㄐㄧ2"
+ ],
+ "𥊭": [
+ "ㄗㄨㄣ4"
+ ],
+ "𥊮": [
+ "ㄏㄨㄛ4"
+ ],
+ "𥊯": [
+ "ㄒㄧㄝ2"
+ ],
+ "𥊴": [
+ "ㄙㄨㄟ4"
+ ],
+ "𥊶": [
+ "ㄖㄨㄢ3"
+ ],
+ "𥊸": [
+ "ㄊㄜ4"
+ ],
+ "𥊼": [
+ "ㄓㄥ4"
+ ],
+ "𥊽": [
+ "ㄎㄨㄣ1"
+ ],
+ "𥊾": [
+ "ㄒㄧㄤ3"
+ ],
+ "𥊿": [
+ "ㄇㄧㄢ2"
+ ],
+ "𥋁": [
+ "ㄒㄧ4"
+ ],
+ "𥋌": [
+ "ㄙㄚ1"
+ ],
+ "𥋙": [
+ "ㄜ4"
+ ],
+ "𥋚": [
+ "ㄇㄧㄝ4"
+ ],
+ "𥋛": [
+ "ㄓㄨ3"
+ ],
+ "𥋜": [
+ "ㄗㄡ1"
+ ],
+ "𥋝": [
+ "ㄇㄥ3"
+ ],
+ "𥋟": [
+ "ㄒㄧ1"
+ ],
+ "𥋡": [
+ "ㄊㄤ2"
+ ],
+ "𥋣": [
+ "ㄐㄧㄚ4"
+ ],
+ "𥋤": [
+ "ㄔㄤ2"
+ ],
+ "𥋥": [
+ "ㄐㄧ2"
+ ],
+ "𥋮": [
+ "ㄓㄨㄛ2"
+ ],
+ "𥋿": [
+ "ㄏㄜ4"
+ ],
+ "𥌀": [
+ "ㄔㄚ2"
+ ],
+ "𥌁": [
+ "ㄑㄧ4"
+ ],
+ "𥌂": [
+ "ㄇㄧㄢ2"
+ ],
+ "𥌃": [
+ "ㄓㄣ3"
+ ],
+ "𥌄": [
+ "ㄎㄨ1"
+ ],
+ "𥌅": [
+ "ㄧㄝ4"
+ ],
+ "𥌆": [
+ "ㄓㄡ1"
+ ],
+ "𥌈": [
+ "ㄐㄧㄢ1"
+ ],
+ "𥌊": [
+ "ㄆㄢ4"
+ ],
+ "𥌍": [
+ "ㄏㄨㄟ1"
+ ],
+ "𥌏": [
+ "ㄇㄧㄥ2"
+ ],
+ "𥌐": [
+ "ㄌㄧㄡ4"
+ ],
+ "𥌘": [
+ "ㄕㄨㄟ4"
+ ],
+ "𥌚": [
+ "ㄇㄞ4",
+ "ㄧㄚ2",
+ "ㄕㄨ4"
+ ],
+ "𥌛": [
+ "ㄌㄧ2"
+ ],
+ "𥌞": [
+ "ㄕㄨㄛ4"
+ ],
+ "𥌟": [
+ "ㄧ2"
+ ],
+ "𥌤": [
+ "ㄌㄧ4"
+ ],
+ "𥌨": [
+ "ㄒㄧㄝ1",
+ "ㄇㄧㄝ4"
+ ],
+ "𥌩": [
+ "ㄊㄜ4"
+ ],
+ "𥌪": [
+ "ㄒㄧㄡ1"
+ ],
+ "𥌭": [
+ "ㄒㄩㄢ4"
+ ],
+ "𥌮": [
+ "ㄌㄧ4"
+ ],
+ "𥌯": [
+ "ㄇㄥ2"
+ ],
+ "𥌰": [
+ "ㄨㄟ2"
+ ],
+ "𥌱": [
+ "ㄇㄥ2"
+ ],
+ "𥌺": [
+ "ㄧㄠ4"
+ ],
+ "𥌻": [
+ "ㄌㄢ2"
+ ],
+ "𥌼": [
+ "ㄌㄧㄥ2"
+ ],
+ "𥌽": [
+ "ㄧㄥ1"
+ ],
+ "𥌾": [
+ "ㄧㄥ1"
+ ],
+ "𥌿": [
+ "ㄌㄧ4"
+ ],
+ "𥍀": [
+ "ㄐㄧㄢ3"
+ ],
+ "𥍁": [
+ "ㄍㄨㄟ1",
+ "ㄍㄨㄟ4"
+ ],
+ "𥍅": [
+ "ㄍㄨㄢ1"
+ ],
+ "𥍆": [
+ "ㄒㄧㄝ4"
+ ],
+ "𥍉": [
+ "ㄕㄜ4"
+ ],
+ "𥍋": [
+ "ㄗㄨㄟ1",
+ "ㄒㄧㄝ1",
+ "ㄏㄨㄟ3"
+ ],
+ "𥍓": [
+ "ㄎㄢ4",
+ "ㄧㄢ3"
+ ],
+ "𥍔": [
+ "ㄌㄟ2"
+ ],
+ "𥍚": [
+ "ㄅㄧㄢ4"
+ ],
+ "𥍝": [
+ "ㄕㄨ3"
+ ],
+ "𥍞": [
+ "ㄋㄩ4"
+ ],
+ "𥍟": [
+ "ㄒㄩ4",
+ "ㄧ4"
+ ],
+ "𥍣": [
+ "ㄏㄠ4"
+ ],
+ "𥍨": [
+ "ㄍㄨㄟ3"
+ ],
+ "𥍪": [
+ "ㄓㄞ4"
+ ],
+ "𥍫": [
+ "ㄌㄤ2"
+ ],
+ "𥍬": [
+ "ㄘㄨㄢ1"
+ ],
+ "𥍭": [
+ "ㄓ4"
+ ],
+ "𥍮": [
+ "ㄈㄥ2",
+ "ㄈㄥ1"
+ ],
+ "𥍯": [
+ "ㄑㄧㄣ1"
+ ],
+ "𥍱": [
+ "ㄗㄜ2"
+ ],
+ "𥍲": [
+ "ㄋㄚ4"
+ ],
+ "𥍳": [
+ "ㄋㄧㄡ3"
+ ],
+ "𥍴": [
+ "ㄧ4"
+ ],
+ "𥍷": [
+ "ㄘㄨㄥ1"
+ ],
+ "𥍸": [
+ "ㄕ1"
+ ],
+ "𥍹": [
+ "ㄐㄧㄢ3"
+ ],
+ "𥍺": [
+ "ㄗㄨㄥ1"
+ ],
+ "𥍻": [
+ "ㄧㄢ3"
+ ],
+ "𥍼": [
+ "ㄧㄥ1"
+ ],
+ "𥎀": [
+ "ㄖㄨㄢ3"
+ ],
+ "𥎂": [
+ "ㄖㄨㄥ2"
+ ],
+ "𥎃": [
+ "ㄒㄧ4"
+ ],
+ "𥎅": [
+ "ㄍㄨㄢ1"
+ ],
+ "𥎆": [
+ "ㄎㄞ4"
+ ],
+ "𥎈": [
+ "ㄨ4"
+ ],
+ "𥎊": [
+ "ㄑㄧㄣ2"
+ ],
+ "𥎋": [
+ "ㄘㄨㄥ1"
+ ],
+ "𥎍": [
+ "ㄗㄜ2"
+ ],
+ "𥎎": [
+ "ㄒㄧㄝ4"
+ ],
+ "𥎐": [
+ "ㄩ4"
+ ],
+ "𥎑": [
+ "ㄗㄢ4"
+ ],
+ "𥎒": [
+ "ㄔㄨㄤ1"
+ ],
+ "𥎓": [
+ "ㄌㄧ3"
+ ],
+ "𥎔": [
+ "ㄌㄧ3"
+ ],
+ "𥎕": [
+ "ㄒㄩ4"
+ ],
+ "𥎖": [
+ "ㄇㄧ2"
+ ],
+ "𥎗": [
+ "ㄒㄩ4"
+ ],
+ "𥎘": [
+ "ㄖㄨㄢ3"
+ ],
+ "𥎛": [
+ "ㄍㄨㄟ4"
+ ],
+ "𥎜": [
+ "ㄖㄨㄥ3"
+ ],
+ "𥎟": [
+ "ㄇㄠ2"
+ ],
+ "𥎡": [
+ "ㄑㄧㄣ2"
+ ],
+ "𥎢": [
+ "ㄘㄨㄢ4"
+ ],
+ "𥎣": [
+ "ㄘㄨㄢ4"
+ ],
+ "𥎤": [
+ "ㄘㄨㄢ4"
+ ],
+ "𥎮": [
+ "ㄨ1"
+ ],
+ "𥎰": [
+ "ㄈㄚ3"
+ ],
+ "𥎱": [
+ "ㄅㄚ2"
+ ],
+ "𥎸": [
+ "ㄑㄧㄚ4"
+ ],
+ "𥎹": [
+ "ㄓ4"
+ ],
+ "𥎺": [
+ "ㄊㄧㄠ4"
+ ],
+ "𥏄": [
+ "ㄓ4"
+ ],
+ "𥏅": [
+ "ㄓ2"
+ ],
+ "𥏇": [
+ "ㄏㄨㄢ4"
+ ],
+ "𥏈": [
+ "ㄔㄡ2"
+ ],
+ "𥏊": [
+ "ㄓ4"
+ ],
+ "𥏎": [
+ "ㄧㄥ3"
+ ],
+ "𥏒": [
+ "ㄨ4"
+ ],
+ "𥏓": [
+ "ㄅㄟ1"
+ ],
+ "𥏕": [
+ "ㄏㄨㄥ2"
+ ],
+ "𥏖": [
+ "ㄕㄣ3"
+ ],
+ "𥏘": [
+ "ㄐㄩㄝ2"
+ ],
+ "𥏙": [
+ "ㄎㄨㄟ4"
+ ],
+ "𥏜": [
+ "ㄧ3"
+ ],
+ "𥏝": [
+ "ㄧㄚ4"
+ ],
+ "𥏠": [
+ "ㄅㄧ1"
+ ],
+ "𥏤": [
+ "ㄎㄨㄚ4"
+ ],
+ "𥏥": [
+ "ㄑㄧㄢ1"
+ ],
+ "𥏨": [
+ "ㄓㄠ1"
+ ],
+ "𥏪": [
+ "ㄎㄞ3"
+ ],
+ "𥏫": [
+ "ㄕㄤ1"
+ ],
+ "𥏮": [
+ "ㄢ4"
+ ],
+ "𥏯": [
+ "ㄓㄜ2"
+ ],
+ "𥏰": [
+ "ㄓ4"
+ ],
+ "𥏷": [
+ "ㄓ4"
+ ],
+ "𥏹": [
+ "ㄐㄧㄠ3"
+ ],
+ "𥐀": [
+ "ㄙ1"
+ ],
+ "𥐁": [
+ "ㄆㄨ2"
+ ],
+ "𥐂": [
+ "ㄡ3"
+ ],
+ "𥐊": [
+ "ㄓㄨㄛ2"
+ ],
+ "𥐑": [
+ "ㄧㄥ1"
+ ],
+ "𥐓": [
+ "ㄏㄨㄢ1"
+ ],
+ "𥐕": [
+ "ㄧㄚ4"
+ ],
+ "𥐘": [
+ "ㄕ2"
+ ],
+ "𥐙": [
+ "ㄆㄚ1",
+ "ㄅㄚ1"
+ ],
+ "𥐚": [
+ "ㄆㄨ3"
+ ],
+ "𥐞": [
+ "ㄇㄤ2"
+ ],
+ "𥐟": [
+ "ㄔㄞ1"
+ ],
+ "𥐩": [
+ "ㄩㄣ2"
+ ],
+ "𥐬": [
+ "ㄍㄨ3"
+ ],
+ "𥐹": [
+ "ㄉㄢ3"
+ ],
+ "𥐻": [
+ "ㄋㄠ2"
+ ],
+ "𥐽": [
+ "ㄓㄜ2"
+ ],
+ "𥐿": [
+ "ㄏㄨ2"
+ ],
+ "𥑅": [
+ "ㄎㄥ1"
+ ],
+ "𥑇": [
+ "ㄉㄧㄝ2"
+ ],
+ "𥑈": [
+ "ㄊㄧㄥ1"
+ ],
+ "𥑋": [
+ "ㄍㄨㄞ4"
+ ],
+ "𥑎": [
+ "ㄑㄩㄥ1"
+ ],
+ "𥑏": [
+ "ㄕ3"
+ ],
+ "𥑐": [
+ "ㄐㄧㄚ3"
+ ],
+ "𥑑": [
+ "ㄠ4"
+ ],
+ "𥑒": [
+ "ㄋㄚ3",
+ "ㄎㄥ1"
+ ],
+ "𥑓": [
+ "ㄆㄧㄣ3"
+ ],
+ "𥑔": [
+ "ㄐㄧㄚ2"
+ ],
+ "𥑡": [
+ "ㄓㄜ4"
+ ],
+ "𥑢": [
+ "ㄅㄨ4"
+ ],
+ "𥑣": [
+ "ㄨㄛ3"
+ ],
+ "𥑥": [
+ "ㄔㄚ3"
+ ],
+ "𥑪": [
+ "ㄋㄠ2"
+ ],
+ "𥑫": [
+ "ㄎㄢ1",
+ "ㄎㄢ3"
+ ],
+ "𥑯": [
+ "ㄉㄨ2"
+ ],
+ "𥑰": [
+ "ㄍㄨㄞ4"
+ ],
+ "𥑱": [
+ "ㄑㄩㄥ2"
+ ],
+ "𥑳": [
+ "ㄖㄨㄥ2"
+ ],
+ "𥑴": [
+ "ㄧ3"
+ ],
+ "𥑵": [
+ "ㄉㄨㄟ1"
+ ],
+ "𥑶": [
+ "ㄌㄟ3"
+ ],
+ "𥑸": [
+ "ㄓㄡ1"
+ ],
+ "𥑹": [
+ "ㄎㄨㄚ1"
+ ],
+ "𥑺": [
+ "ㄜ1"
+ ],
+ "𥑻": [
+ "ㄒㄧㄢ1"
+ ],
+ "𥑼": [
+ "ㄉㄧㄢ4"
+ ],
+ "𥑽": [
+ "ㄋㄨㄛ4"
+ ],
+ "𥑾": [
+ "ㄜ4"
+ ],
+ "𥑿": [
+ "ㄩㄥ1"
+ ],
+ "𥒀": [
+ "ㄨ4"
+ ],
+ "𥒁": [
+ "ㄎㄥ1"
+ ],
+ "𥒓": [
+ "ㄓ4"
+ ],
+ "𥒗": [
+ "ㄓ3"
+ ],
+ "𥒘": [
+ "ㄒㄩㄣ2"
+ ],
+ "𥒛": [
+ "ㄓㄥ4"
+ ],
+ "𥒞": [
+ "ㄧㄤ2"
+ ],
+ "𥒠": [
+ "ㄏㄨㄛ4"
+ ],
+ "𥒡": [
+ "ㄐㄧ2"
+ ],
+ "𥒢": [
+ "ㄋㄠ3",
+ "ㄌㄧ4"
+ ],
+ "𥒧": [
+ "ㄧㄚ4"
+ ],
+ "𥒨": [
+ "ㄌㄨ4"
+ ],
+ "𥒫": [
+ "ㄈㄨ1"
+ ],
+ "𥒬": [
+ "ㄙㄢ3"
+ ],
+ "𥒭": [
+ "ㄔㄨ4"
+ ],
+ "𥒮": [
+ "ㄨㄟ3"
+ ],
+ "𥒰": [
+ "ㄈㄨ3"
+ ],
+ "𥒱": [
+ "ㄎㄥ1"
+ ],
+ "𥒲": [
+ "ㄙ4"
+ ],
+ "𥒳": [
+ "ㄎㄤ4"
+ ],
+ "𥒵": [
+ "ㄧ4"
+ ],
+ "𥒶": [
+ "ㄏㄨㄚ4"
+ ],
+ "𥒾": [
+ "ㄩ3"
+ ],
+ "𥓃": [
+ "ㄌㄧ4"
+ ],
+ "𥓆": [
+ "ㄌㄧㄣ3"
+ ],
+ "𥓇": [
+ "ㄉㄨ3"
+ ],
+ "𥓈": [
+ "ㄜ4"
+ ],
+ "𥓌": [
+ "ㄑㄧㄤ3"
+ ],
+ "𥓍": [
+ "ㄉㄨ2"
+ ],
+ "𥓐": [
+ "ㄐㄧㄝ2"
+ ],
+ "𥓑": [
+ "ㄔㄨㄛ4"
+ ],
+ "𥓒": [
+ "ㄒㄧㄢ4",
+ "ㄎㄢ4"
+ ],
+ "𥓖": [
+ "ㄍㄠ3"
+ ],
+ "𥓬": [
+ "ㄉㄠ4"
+ ],
+ "𥓰": [
+ "ㄏㄨㄥ1"
+ ],
+ "𥓻": [
+ "ㄗㄨㄥ1"
+ ],
+ "𥓾": [
+ "ㄑㄧ4"
+ ],
+ "𥓿": [
+ "ㄊㄨㄛ2"
+ ],
+ "𥔀": [
+ "ㄏㄨㄥ1"
+ ],
+ "𥔁": [
+ "ㄆㄧ3"
+ ],
+ "𥔂": [
+ "ㄍㄥ4"
+ ],
+ "𥔄": [
+ "ㄋㄧㄝ4"
+ ],
+ "𥔇": [
+ "ㄎㄨㄥ1"
+ ],
+ "𥔊": [
+ "ㄓ3"
+ ],
+ "𥔑": [
+ "ㄒㄧㄠ3"
+ ],
+ "𥔡": [
+ "ㄕㄜ4"
+ ],
+ "𥔢": [
+ "ㄩ2"
+ ],
+ "𥔣": [
+ "ㄐㄧㄤ1"
+ ],
+ "𥔩": [
+ "ㄑㄧ3"
+ ],
+ "𥔪": [
+ "ㄔㄣ3"
+ ],
+ "𥔫": [
+ "ㄙㄤ3"
+ ],
+ "𥔭": [
+ "ㄙㄨㄛ3"
+ ],
+ "𥔮": [
+ "ㄑㄧㄢ2"
+ ],
+ "𥔯": [
+ "ㄏㄨㄟ4"
+ ],
+ "𥔱": [
+ "ㄕㄢ4"
+ ],
+ "𥔲": [
+ "ㄜ4"
+ ],
+ "𥔻": [
+ "ㄑㄧㄡ1"
+ ],
+ "𥔽": [
+ "ㄎㄜ4"
+ ],
+ "𥕀": [
+ "ㄨㄥ1"
+ ],
+ "𥕁": [
+ "ㄗ1"
+ ],
+ "𥕂": [
+ "ㄐㄧ2"
+ ],
+ "𥕇": [
+ "ㄉㄚ3"
+ ],
+ "𥕉": [
+ "ㄘㄨㄛ4"
+ ],
+ "𥕍": [
+ "ㄌㄡ3"
+ ],
+ "𥕎": [
+ "ㄎㄤ1"
+ ],
+ "𥕏": [
+ "ㄎㄨㄛ4"
+ ],
+ "𥕐": [
+ "ㄉㄧ2"
+ ],
+ "𥕑": [
+ "ㄑㄧㄝ1",
+ "ㄐㄩ1"
+ ],
+ "𥕓": [
+ "ㄇㄛ4"
+ ],
+ "𥕖": [
+ "ㄍㄨㄛ3"
+ ],
+ "𥕗": [
+ "ㄏㄨㄥ1"
+ ],
+ "𥕘": [
+ "ㄔㄠ2",
+ "ㄙㄨㄛ3"
+ ],
+ "𥕙": [
+ "ㄏㄟ1"
+ ],
+ "𥕢": [
+ "ㄘㄠ2"
+ ],
+ "𥕣": [
+ "ㄓㄜ2"
+ ],
+ "𥕦": [
+ "ㄍㄨㄣ3"
+ ],
+ "𥕰": [
+ "ㄒㄩ1"
+ ],
+ "𥕱": [
+ "ㄆㄥ2",
+ "ㄆㄥ1"
+ ],
+ "𥕲": [
+ "ㄐㄩㄝ2"
+ ],
+ "𥕵": [
+ "ㄍㄢ3"
+ ],
+ "𥕶": [
+ "ㄙ1"
+ ],
+ "𥕸": [
+ "ㄙㄨㄟ4"
+ ],
+ "𥕹": [
+ "ㄑㄩㄝ4"
+ ],
+ "𥕻": [
+ "ㄨ2",
+ "ㄨ3"
+ ],
+ "𥕼": [
+ "ㄧㄢ2"
+ ],
+ "𥕽": [
+ "ㄆㄥ4"
+ ],
+ "𥕾": [
+ "ㄒㄧㄠ3"
+ ],
+ "𥕿": [
+ "ㄆㄢ1"
+ ],
+ "𥖍": [
+ "ㄌㄚ4"
+ ],
+ "𥖗": [
+ "ㄅㄥ4"
+ ],
+ "𥖘": [
+ "ㄓㄣ3"
+ ],
+ "𥖙": [
+ "ㄐㄧ2"
+ ],
+ "𥖜": [
+ "ㄐㄧㄣ3"
+ ],
+ "𥖝": [
+ "ㄌㄧㄢ2"
+ ],
+ "𥖞": [
+ "ㄎㄣ3"
+ ],
+ "𥖠": [
+ "ㄓㄡ2",
+ "ㄉㄨ2"
+ ],
+ "𥖨": [
+ "ㄗㄠ4"
+ ],
+ "𥖪": [
+ "ㄌㄜ4"
+ ],
+ "𥖫": [
+ "ㄑㄧ1"
+ ],
+ "𥖬": [
+ "ㄅㄧㄥ4"
+ ],
+ "𥖵": [
+ "ㄧㄣ3"
+ ],
+ "𥖶": [
+ "ㄆㄧㄣ1"
+ ],
+ "𥖻": [
+ "ㄙㄡ3"
+ ],
+ "𥖼": [
+ "ㄌㄩ4"
+ ],
+ "𥖾": [
+ "ㄉㄧ2"
+ ],
+ "𥖿": [
+ "ㄉㄨ2"
+ ],
+ "𥗀": [
+ "ㄌㄧㄠ3"
+ ],
+ "𥗁": [
+ "ㄓㄨㄛ2"
+ ],
+ "𥗊": [
+ "ㄔㄤ3"
+ ],
+ "𥗒": [
+ "ㄔㄣ4"
+ ],
+ "𥗓": [
+ "ㄊㄚ4"
+ ],
+ "𥗙": [
+ "ㄑㄩㄝ4"
+ ],
+ "𥗚": [
+ "ㄉㄠ4"
+ ],
+ "𥗝": [
+ "ㄖㄤ3"
+ ],
+ "𥗟": [
+ "ㄆㄛ4"
+ ],
+ "𥗦": [
+ "ㄓㄨㄥ1"
+ ],
+ "𥗧": [
+ "ㄒㄧㄝ1"
+ ],
+ "𥗪": [
+ "ㄐㄧㄤ1"
+ ],
+ "𥗫": [
+ "ㄑㄩ2"
+ ],
+ "𥗬": [
+ "ㄌㄟ3"
+ ],
+ "𥗭": [
+ "ㄘㄚ4"
+ ],
+ "𥗮": [
+ "ㄑㄩㄝ1"
+ ],
+ "𥗵": [
+ "ㄒㄧㄤ4"
+ ],
+ "𥗶": [
+ "ㄌㄟ4"
+ ],
+ "𥗺": [
+ "ㄌㄢ4"
+ ],
+ "𥗽": [
+ "ㄌㄢ2"
+ ],
+ "𥗿": [
+ "ㄌㄚ3"
+ ],
+ "𥘁": [
+ "ㄌㄚ3"
+ ],
+ "𥘄": [
+ "ㄩ4"
+ ],
+ "𥘊": [
+ "ㄐㄧㄠ4"
+ ],
+ "𥘋": [
+ "ㄑㄧㄣ2"
+ ],
+ "𥘌": [
+ "ㄐㄧ1"
+ ],
+ "𥘏": [
+ "ㄍㄢ3"
+ ],
+ "𥘒": [
+ "ㄧ4"
+ ],
+ "𥘠": [
+ "ㄧ4"
+ ],
+ "𥘡": [
+ "ㄓ1"
+ ],
+ "𥘤": [
+ "ㄅㄧㄠ3"
+ ],
+ "𥘥": [
+ "ㄕㄥ1"
+ ],
+ "𥘦": [
+ "ㄐㄧㄡ4",
+ "ㄕㄜ4"
+ ],
+ "𥘫": [
+ "ㄏㄜ1"
+ ],
+ "𥘬": [
+ "ㄈㄨ2"
+ ],
+ "𥘮": [
+ "ㄐㄩ1"
+ ],
+ "𥙀": [
+ "ㄗㄨㄛ3"
+ ],
+ "𥙁": [
+ "ㄧ2"
+ ],
+ "𥙆": [
+ "ㄒㄧㄢ4",
+ "ㄓ1"
+ ],
+ "𥙇": [
+ "ㄧ2"
+ ],
+ "𥙉": [
+ "ㄙ4",
+ "ㄊㄞ2"
+ ],
+ "𥙋": [
+ "ㄔㄨㄟ4"
+ ],
+ "𥙎": [
+ "ㄇㄛ4"
+ ],
+ "𥙡": [
+ "ㄓㄢ1"
+ ],
+ "𥙣": [
+ "ㄒㄩㄣ2"
+ ],
+ "𥙦": [
+ "ㄖㄨ2"
+ ],
+ "𥙨": [
+ "ㄏㄨㄛ4"
+ ],
+ "𥙬": [
+ "ㄕㄠ1"
+ ],
+ "𥙰": [
+ "ㄕㄡ4"
+ ],
+ "𥙾": [
+ "ㄧㄡ4"
+ ],
+ "𥙿": [
+ "ㄩ4"
+ ],
+ "𥚂": [
+ "ㄐㄩㄣ4"
+ ],
+ "𥚉": [
+ "ㄗ1"
+ ],
+ "𥚊": [
+ "ㄌㄨ4"
+ ],
+ "𥚚": [
+ "ㄔ3"
+ ],
+ "𥚛": [
+ "ㄎㄨㄣ1"
+ ],
+ "𥚠": [
+ "ㄓㄨㄣ4"
+ ],
+ "𥚦": [
+ "ㄏㄡ2"
+ ],
+ "𥚩": [
+ "ㄒㄩ3"
+ ],
+ "𥚾": [
+ "ㄗㄨㄥ1"
+ ],
+ "𥚿": [
+ "ㄧㄥ4"
+ ],
+ "𥛂": [
+ "ㄓㄨ1"
+ ],
+ "𥛅": [
+ "ㄌㄧㄡ4"
+ ],
+ "𥛑": [
+ "ㄋㄨ4"
+ ],
+ "𥛘": [
+ "ㄅㄧ4"
+ ],
+ "𥛚": [
+ "ㄔ4"
+ ],
+ "𥛜": [
+ "ㄗㄨ3"
+ ],
+ "𥛝": [
+ "ㄈㄥ2"
+ ],
+ "𥛞": [
+ "ㄌㄨ4"
+ ],
+ "𥛟": [
+ "ㄆㄨ3"
+ ],
+ "𥛥": [
+ "ㄓㄨㄢ4"
+ ],
+ "𥛧": [
+ "ㄓㄜ2"
+ ],
+ "𥛨": [
+ "ㄕ1"
+ ],
+ "𥛩": [
+ "ㄩ3"
+ ],
+ "𥛪": [
+ "ㄌㄨ4"
+ ],
+ "𥛫": [
+ "ㄌㄧㄤ2"
+ ],
+ "𥛯": [
+ "ㄐㄩㄝ2"
+ ],
+ "𥛰": [
+ "ㄌㄧㄠ4"
+ ],
+ "𥛱": [
+ "ㄅㄥ1"
+ ],
+ "𥜃": [
+ "ㄧ4"
+ ],
+ "𥜄": [
+ "ㄍㄨㄢ1"
+ ],
+ "𥜌": [
+ "ㄠ3"
+ ],
+ "𥜏": [
+ "ㄍㄨㄟ4"
+ ],
+ "𥜐": [
+ "ㄇㄧㄣ3"
+ ],
+ "𥜒": [
+ "ㄧㄢ3"
+ ],
+ "𥜓": [
+ "ㄌㄢ2"
+ ],
+ "𥜖": [
+ "ㄅㄛ2"
+ ],
+ "𥜙": [
+ "ㄗㄢ4"
+ ],
+ "𥜚": [
+ "ㄧㄡ3"
+ ],
+ "𥜥": [
+ "ㄧ4"
+ ],
+ "𥜦": [
+ "ㄋㄧ3",
+ "ㄒㄧㄢ3"
+ ],
+ "𥜬": [
+ "ㄋㄧ3",
+ "ㄒㄧㄢ3"
+ ],
+ "𥜭": [
+ "ㄍㄨㄛ3"
+ ],
+ "𥜮": [
+ "ㄐㄩㄣ4"
+ ],
+ "𥜰": [
+ "ㄕ1"
+ ],
+ "𥜲": [
+ "ㄒㄧㄢ3",
+ "ㄐㄧㄢ3"
+ ],
+ "𥜴": [
+ "ㄑㄧㄢ1"
+ ],
+ "𥜵": [
+ "ㄑㄩㄝ4"
+ ],
+ "𥜶": [
+ "ㄎㄨㄟ2"
+ ],
+ "𥝀": [
+ "ㄕㄜ2"
+ ],
+ "𥝂": [
+ "ㄏㄨㄛ4"
+ ],
+ "𥝄": [
+ "ㄨㄢ4"
+ ],
+ "𥝊": [
+ "ㄈㄟ4"
+ ],
+ "𥝋": [
+ "ㄈㄟ4"
+ ],
+ "𥝌": [
+ "ㄐㄧ1"
+ ],
+ "𥝍": [
+ "ㄩ4",
+ "ㄨㄤ2"
+ ],
+ "𥝑": [
+ "ㄓ1"
+ ],
+ "𥝒": [
+ "ㄍㄨㄚ4"
+ ],
+ "𥝔": [
+ "ㄐㄧㄝ2"
+ ],
+ "𥝕": [
+ "ㄇㄤ2"
+ ],
+ "𥝖": [
+ "ㄏㄜ2",
+ "ㄒㄧㄝ2"
+ ],
+ "𥝘": [
+ "ㄧㄡ3"
+ ],
+ "𥝟": [
+ "ㄉㄨ4"
+ ],
+ "𥝠": [
+ "ㄙ1",
+ "ㄒㄧㄡ4"
+ ],
+ "𥝢": [
+ "ㄌㄧ4"
+ ],
+ "𥝥": [
+ "ㄐㄧㄝ2"
+ ],
+ "𥝦": [
+ "ㄋㄧㄡ3"
+ ],
+ "𥝧": [
+ "ㄅㄚ4"
+ ],
+ "𥝨": [
+ "ㄩ2"
+ ],
+ "𥝮": [
+ "ㄓ1"
+ ],
+ "𥝸": [
+ "ㄏㄜ2"
+ ],
+ "𥝹": [
+ "ㄎㄜ1"
+ ],
+ "𥝾": [
+ "ㄉㄨ4",
+ "ㄓㄚ4"
+ ],
+ "𥝿": [
+ "ㄐㄧㄚ1"
+ ],
+ "𥞁": [
+ "ㄔㄣ1"
+ ],
+ "𥞃": [
+ "ㄔㄨㄟ4",
+ "ㄕㄨ4"
+ ],
+ "𥞄": [
+ "ㄏㄜ2"
+ ],
+ "𥞅": [
+ "ㄓㄞ3"
+ ],
+ "𥞊": [
+ "ㄇㄟ4"
+ ],
+ "𥞍": [
+ "ㄏㄜ2"
+ ],
+ "𥞎": [
+ "ㄗ3"
+ ],
+ "𥞏": [
+ "ㄓㄨ2"
+ ],
+ "𥞒": [
+ "ㄊㄨㄛ2"
+ ],
+ "𥞘": [
+ "ㄗㄨㄣ4"
+ ],
+ "𥞚": [
+ "ㄖㄨ2"
+ ],
+ "𥞛": [
+ "ㄉㄨㄛ4"
+ ],
+ "𥞜": [
+ "ㄐㄧㄤ4"
+ ],
+ "𥞧": [
+ "ㄏㄥ2"
+ ],
+ "𥞩": [
+ "ㄅㄥ1",
+ "ㄏㄜ2"
+ ],
+ "𥞪": [
+ "ㄇㄛ4",
+ "ㄇㄧ3"
+ ],
+ "𥞯": [
+ "ㄗㄨ2"
+ ],
+ "𥞲": [
+ "ㄅㄧㄝ1"
+ ],
+ "𥞴": [
+ "ㄎㄨ4"
+ ],
+ "𥞵": [
+ "ㄐㄧㄚ2"
+ ],
+ "𥞺": [
+ "ㄓㄨㄛ1"
+ ],
+ "𥞼": [
+ "ㄒㄧㄡ1"
+ ],
+ "𥟃": [
+ "ㄏㄜ2"
+ ],
+ "𥟅": [
+ "ㄑㄧㄠ1"
+ ],
+ "𥟍": [
+ "ㄈㄟ3"
+ ],
+ "𥟎": [
+ "ㄕㄥ1"
+ ],
+ "𥟒": [
+ "ㄓㄨㄟ4"
+ ],
+ "𥟓": [
+ "ㄎㄨㄢ3"
+ ],
+ "𥟔": [
+ "ㄗㄜ4"
+ ],
+ "𥟕": [
+ "ㄒㄧㄢ1"
+ ],
+ "𥟗": [
+ "ㄅㄧ4"
+ ],
+ "𥟘": [
+ "ㄧ4"
+ ],
+ "𥟚": [
+ "ㄔㄤ4"
+ ],
+ "𥟪": [
+ "ㄇㄠ4"
+ ],
+ "𥟶": [
+ "ㄨㄢ3"
+ ],
+ "𥟽": [
+ "ㄨ1"
+ ],
+ "𥟾": [
+ "ㄎㄨ1"
+ ],
+ "𥟿": [
+ "ㄨㄛ3"
+ ],
+ "𥠀": [
+ "ㄒㄧㄥ1"
+ ],
+ "𥠁": [
+ "ㄎㄜ1"
+ ],
+ "𥠃": [
+ "ㄐㄧㄡ1"
+ ],
+ "𥠄": [
+ "ㄉㄨㄢ1"
+ ],
+ "𥠅": [
+ "ㄏㄨㄢ4"
+ ],
+ "𥠈": [
+ "ㄓ4",
+ "ㄐㄧ4"
+ ],
+ "𥠉": [
+ "ㄘㄜ4"
+ ],
+ "𥠊": [
+ "ㄖㄡ2"
+ ],
+ "𥠋": [
+ "ㄐㄧ2"
+ ],
+ "𥠍": [
+ "ㄧㄝ4"
+ ],
+ "𥠛": [
+ "ㄐㄧㄥ1"
+ ],
+ "𥠜": [
+ "ㄧㄤ4"
+ ],
+ "𥠡": [
+ "ㄗㄨㄥ3"
+ ],
+ "𥠩": [
+ "ㄘㄢ3"
+ ],
+ "𥠱": [
+ "ㄙ1"
+ ],
+ "𥠲": [
+ "ㄌㄧ4"
+ ],
+ "𥠳": [
+ "ㄍㄨ3"
+ ],
+ "𥠴": [
+ "ㄔㄤ4"
+ ],
+ "𥠶": [
+ "ㄈㄟ3"
+ ],
+ "𥠷": [
+ "ㄌㄧㄡ2"
+ ],
+ "𥠹": [
+ "ㄐㄧㄝ2"
+ ],
+ "𥠺": [
+ "ㄩㄣ1"
+ ],
+ "𥠽": [
+ "ㄓ4"
+ ],
+ "𥡀": [
+ "ㄔㄡ2"
+ ],
+ "𥡁": [
+ "ㄅㄧㄝ1"
+ ],
+ "𥡒": [
+ "ㄐㄧ1"
+ ],
+ "𥡜": [
+ "ㄌㄨㄛ2",
+ "ㄙㄨㄟ4"
+ ],
+ "𥡝": [
+ "ㄐㄧㄢ1",
+ "ㄑㄧㄢ1"
+ ],
+ "𥡟": [
+ "ㄔㄨㄤ1"
+ ],
+ "𥡠": [
+ "ㄕㄨㄤ3"
+ ],
+ "𥡢": [
+ "ㄌㄩ4"
+ ],
+ "𥡣": [
+ "ㄐㄩㄣ4"
+ ],
+ "𥡤": [
+ "ㄐㄧㄠ4"
+ ],
+ "𥡦": [
+ "ㄊㄧ4",
+ "ㄉㄧ4"
+ ],
+ "𥡧": [
+ "ㄓㄚ1"
+ ],
+ "𥡪": [
+ "ㄧ4"
+ ],
+ "𥡬": [
+ "ㄘㄨㄥ1"
+ ],
+ "𥡭": [
+ "ㄋㄟ3"
+ ],
+ "𥡮": [
+ "ㄐㄧㄚ1"
+ ],
+ "𥡴": [
+ "ㄐㄧ4"
+ ],
+ "𥡽": [
+ "ㄞ4"
+ ],
+ "𥢇": [
+ "ㄐㄧㄢ3"
+ ],
+ "𥢊": [
+ "ㄅㄣ4"
+ ],
+ "𥢌": [
+ "ㄈㄢ2"
+ ],
+ "𥢍": [
+ "ㄏㄨ4",
+ "ㄙㄨㄟ4"
+ ],
+ "𥢎": [
+ "ㄗㄨㄣ4"
+ ],
+ "𥢏": [
+ "ㄉㄧㄢ4"
+ ],
+ "𥢐": [
+ "ㄍㄠ1"
+ ],
+ "𥢑": [
+ "ㄍㄠ3",
+ "ㄏㄠ4"
+ ],
+ "𥢒": [
+ "ㄌㄠ2",
+ "ㄌㄠ4"
+ ],
+ "𥢔": [
+ "ㄓㄨㄛ2",
+ "ㄓㄠ4"
+ ],
+ "𥢟": [
+ "ㄏㄨ4"
+ ],
+ "𥢢": [
+ "ㄊㄨㄟ2"
+ ],
+ "𥢦": [
+ "ㄅㄧ4"
+ ],
+ "𥢧": [
+ "ㄐㄩ2",
+ "ㄧ4"
+ ],
+ "𥢮": [
+ "ㄏㄨㄚ2"
+ ],
+ "𥢲": [
+ "ㄔㄥ2"
+ ],
+ "𥢶": [
+ "ㄎㄨㄞ4"
+ ],
+ "𥢷": [
+ "ㄉㄤ1"
+ ],
+ "𥢸": [
+ "ㄍㄜ2"
+ ],
+ "𥢹": [
+ "ㄒㄧㄝ2"
+ ],
+ "𥢻": [
+ "ㄐㄧㄝ2"
+ ],
+ "𥢽": [
+ "ㄘㄢ1"
+ ],
+ "𥣆": [
+ "ㄗㄨ2"
+ ],
+ "𥣈": [
+ "ㄆㄨ2"
+ ],
+ "𥣋": [
+ "ㄕㄨ3"
+ ],
+ "𥣌": [
+ "ㄅㄨ3"
+ ],
+ "𥣗": [
+ "ㄋㄧㄥ2"
+ ],
+ "𥣘": [
+ "ㄧㄢ3"
+ ],
+ "𥣙": [
+ "ㄓㄡ4",
+ "ㄘㄨㄥ4"
+ ],
+ "𥣛": [
+ "ㄇㄥ2"
+ ],
+ "𥣝": [
+ "ㄅㄧㄢ3"
+ ],
+ "𥣟": [
+ "ㄒㄧㄤ4"
+ ],
+ "𥣤": [
+ "ㄌㄨ4"
+ ],
+ "𥣥": [
+ "ㄌㄧ2"
+ ],
+ "𥣩": [
+ "ㄐㄧ4"
+ ],
+ "𥣫": [
+ "ㄇㄧㄝ4"
+ ],
+ "𥣬": [
+ "ㄌㄟ4"
+ ],
+ "𥣮": [
+ "ㄓ4"
+ ],
+ "𥣯": [
+ "ㄧㄡ1"
+ ],
+ "𥣰": [
+ "ㄅㄧㄢ3"
+ ],
+ "𥣸": [
+ "ㄇㄨ4"
+ ],
+ "𥣹": [
+ "ㄖㄢ4"
+ ],
+ "𥣺": [
+ "ㄖㄢ4"
+ ],
+ "𥤂": [
+ "ㄋㄧㄠ3"
+ ],
+ "𥤊": [
+ "ㄑㄩㄢ2"
+ ],
+ "𥤋": [
+ "ㄓㄜ2"
+ ],
+ "𥤐": [
+ "ㄌㄟ4",
+ "ㄌㄟ2"
+ ],
+ "𥤗": [
+ "ㄉㄤ3"
+ ],
+ "𥤘": [
+ "ㄐㄩㄝ2"
+ ],
+ "𥤜": [
+ "ㄌㄧㄥ2"
+ ],
+ "𥤞": [
+ "ㄌㄧㄥ2"
+ ],
+ "𥤟": [
+ "ㄧㄢ2"
+ ],
+ "𥤣": [
+ "ㄧㄠ3"
+ ],
+ "𥤤": [
+ "ㄓㄣ4"
+ ],
+ "𥤥": [
+ "ㄑㄧ1"
+ ],
+ "𥤦": [
+ "ㄞ4"
+ ],
+ "𥤨": [
+ "ㄋㄨ2"
+ ],
+ "𥤩": [
+ "ㄇㄤ3"
+ ],
+ "𥤱": [
+ "ㄎㄢ3",
+ "ㄏㄢ1"
+ ],
+ "𥤳": [
+ "ㄐㄧㄡ1",
+ "ㄘㄨㄢ4"
+ ],
+ "𥤴": [
+ "ㄧㄢ3"
+ ],
+ "𥤵": [
+ "ㄇㄧㄢ4"
+ ],
+ "𥤷": [
+ "ㄧㄣ2"
+ ],
+ "𥤸": [
+ "ㄨㄢ2"
+ ],
+ "𥤹": [
+ "ㄧㄠ4",
+ "ㄧㄠ3"
+ ],
+ "𥤺": [
+ "ㄨㄚ1"
+ ],
+ "𥤻": [
+ "ㄆㄧ2"
+ ],
+ "𥤼": [
+ "ㄙㄨㄟ4"
+ ],
+ "𥥅": [
+ "ㄎㄨㄥ3"
+ ],
+ "𥥈": [
+ "ㄏㄨㄥ2",
+ "ㄨㄥ4"
+ ],
+ "𥥊": [
+ "ㄇㄧㄥ3"
+ ],
+ "𥥋": [
+ "ㄌㄧㄥ2"
+ ],
+ "𥥌": [
+ "ㄧ4",
+ "ㄉㄧㄝ2"
+ ],
+ "𥥍": [
+ "ㄕㄣ1",
+ "ㄕㄣ4"
+ ],
+ "𥥏": [
+ "ㄗㄨㄛ4"
+ ],
+ "𥥛": [
+ "ㄊㄨ1",
+ "ㄅㄚ2"
+ ],
+ "𥥝": [
+ "ㄩㄥ4"
+ ],
+ "𥥟": [
+ "ㄨㄚ4"
+ ],
+ "𥥠": [
+ "ㄍㄨㄟ3"
+ ],
+ "𥥡": [
+ "ㄏㄨㄥ4"
+ ],
+ "𥥥": [
+ "ㄕ4"
+ ],
+ "𥥧": [
+ "ㄒㄩㄥ4"
+ ],
+ "𥥩": [
+ "ㄚ1",
+ "ㄒㄧㄤ4"
+ ],
+ "𥥱": [
+ "ㄔㄥ2"
+ ],
+ "𥥳": [
+ "ㄎㄥ1"
+ ],
+ "𥥴": [
+ "ㄧ4"
+ ],
+ "𥥵": [
+ "ㄧㄤ4"
+ ],
+ "𥥶": [
+ "ㄊㄧㄥ2"
+ ],
+ "𥥷": [
+ "ㄉㄡ4"
+ ],
+ "𥥸": [
+ "ㄔㄚ2"
+ ],
+ "𥥹": [
+ "ㄌㄧㄡ4"
+ ],
+ "𥥽": [
+ "ㄑㄧㄡ2"
+ ],
+ "𥥾": [
+ "ㄒㄩㄢ3"
+ ],
+ "𥥿": [
+ "ㄕㄣ1"
+ ],
+ "𥦀": [
+ "ㄎㄨㄢ1",
+ "ㄇㄧ4"
+ ],
+ "𥦁": [
+ "ㄊㄨㄥ4"
+ ],
+ "𥦃": [
+ "ㄑㄧㄢ3"
+ ],
+ "𥦅": [
+ "ㄔㄡ4"
+ ],
+ "𥦊": [
+ "ㄨㄣ3"
+ ],
+ "𥦌": [
+ "ㄌㄨㄥ4"
+ ],
+ "𥦍": [
+ "ㄢ3",
+ "ㄧㄢ3"
+ ],
+ "𥦔": [
+ "ㄎㄢ3"
+ ],
+ "𥦖": [
+ "ㄧㄠ3"
+ ],
+ "𥦘": [
+ "ㄈㄨ2"
+ ],
+ "𥦜": [
+ "ㄅㄥ4"
+ ],
+ "𥦝": [
+ "ㄌㄢ3"
+ ],
+ "𥦞": [
+ "ㄑㄧㄚ4"
+ ],
+ "𥦟": [
+ "ㄉㄧㄢ4"
+ ],
+ "𥦢": [
+ "ㄐㄧㄠ4"
+ ],
+ "𥦣": [
+ "ㄍㄨㄟ1"
+ ],
+ "𥦥": [
+ "ㄒㄩㄥ4"
+ ],
+ "𥦨": [
+ "ㄎㄜ4"
+ ],
+ "𥦶": [
+ "ㄒㄧㄢ4"
+ ],
+ "𥦷": [
+ "ㄨㄥ4"
+ ],
+ "𥧂": [
+ "ㄍㄨㄥ3"
+ ],
+ "𥧆": [
+ "ㄡ3"
+ ],
+ "𥧇": [
+ "ㄎㄜ1",
+ "ㄔㄠ2"
+ ],
+ "𥧋": [
+ "ㄎㄨ1"
+ ],
+ "𥧑": [
+ "ㄊㄧㄢ2",
+ "ㄉㄧㄢ1",
+ "ㄧㄢ3",
+ "ㄔㄢ3"
+ ],
+ "𥧒": [
+ "ㄍㄡ4"
+ ],
+ "𥧓": [
+ "ㄇㄚ3"
+ ],
+ "𥧕": [
+ "ㄌㄧㄡ4"
+ ],
+ "𥧙": [
+ "ㄨㄟ4"
+ ],
+ "𥧚": [
+ "ㄨㄣ3"
+ ],
+ "𥧡": [
+ "ㄍㄨㄥ4"
+ ],
+ "𥧣": [
+ "ㄊㄨ2"
+ ],
+ "𥧤": [
+ "ㄋㄧㄥ2"
+ ],
+ "𥧧": [
+ "ㄇㄧ4"
+ ],
+ "𥧫": [
+ "ㄌㄤ2"
+ ],
+ "𥧬": [
+ "ㄑㄧㄢ3"
+ ],
+ "𥧭": [
+ "ㄇㄢ2"
+ ],
+ "𥧮": [
+ "ㄓㄜ2"
+ ],
+ "𥧰": [
+ "ㄏㄨㄚ4"
+ ],
+ "𥧱": [
+ "ㄩㄥ1"
+ ],
+ "𥧲": [
+ "ㄐㄧㄣ4",
+ "ㄐㄧㄣ3"
+ ],
+ "𥧴": [
+ "ㄇㄟ4"
+ ],
+ "𥧷": [
+ "ㄈㄨ2"
+ ],
+ "𥧻": [
+ "ㄑㄩ2"
+ ],
+ "𥨌": [
+ "ㄌㄧㄡ4"
+ ],
+ "𥨍": [
+ "ㄈㄨ4"
+ ],
+ "𥨎": [
+ "ㄉㄢ4"
+ ],
+ "𥨐": [
+ "ㄍㄨㄥ3"
+ ],
+ "𥨒": [
+ "ㄘㄨㄟ4",
+ "ㄘㄨㄢ4"
+ ],
+ "𥨕": [
+ "ㄒㄧㄥ3"
+ ],
+ "𥨜": [
+ "ㄊㄨ1"
+ ],
+ "𥨝": [
+ "ㄕㄡ4"
+ ],
+ "𥨪": [
+ "ㄑㄩㄥ2"
+ ],
+ "𥨳": [
+ "ㄖㄨㄥ2"
+ ],
+ "𥨻": [
+ "ㄌㄧ4"
+ ],
+ "𥨿": [
+ "ㄐㄧ1"
+ ],
+ "𥩀": [
+ "ㄊㄨㄛ4"
+ ],
+ "𥩌": [
+ "ㄊㄨㄥ2"
+ ],
+ "𥩒": [
+ "ㄊㄢ2"
+ ],
+ "𥩔": [
+ "ㄌㄧㄥ2"
+ ],
+ "𥩖": [
+ "ㄧ4"
+ ],
+ "𥩗": [
+ "ㄖㄨㄢ3"
+ ],
+ "𥩙": [
+ "ㄆㄚ3"
+ ],
+ "𥩝": [
+ "ㄘㄚ4"
+ ],
+ "𥩡": [
+ "ㄩㄝ4"
+ ],
+ "𥩢": [
+ "ㄑㄩㄝ4"
+ ],
+ "𥩣": [
+ "ㄓㄨ4"
+ ],
+ "𥩤": [
+ "ㄏㄞ4"
+ ],
+ "𥩱": [
+ "ㄈㄚ2"
+ ],
+ "𥩲": [
+ "ㄏㄞ4"
+ ],
+ "𥪀": [
+ "ㄅㄨ1"
+ ],
+ "𥪁": [
+ "ㄆㄧㄥ1"
+ ],
+ "𥪂": [
+ "ㄌㄧㄝ4"
+ ],
+ "𥪊": [
+ "ㄎㄨㄟ3",
+ "ㄐㄩㄝ2"
+ ],
+ "𥪋": [
+ "ㄈㄨ2"
+ ],
+ "𥪌": [
+ "ㄊㄧㄢ3"
+ ],
+ "𥪍": [
+ "ㄨㄛ4"
+ ],
+ "𥪏": [
+ "ㄐㄩ1"
+ ],
+ "𥪘": [
+ "ㄓㄣ1"
+ ],
+ "𥪚": [
+ "ㄈㄨ2"
+ ],
+ "𥪢": [
+ "ㄌㄨㄥ2"
+ ],
+ "𥪦": [
+ "ㄒㄧ4"
+ ],
+ "𥪧": [
+ "ㄊㄧㄢ2"
+ ],
+ "𥪫": [
+ "ㄐㄧ4"
+ ],
+ "𥪯": [
+ "ㄧㄠ4",
+ "ㄑㄧㄠ2"
+ ],
+ "𥪱": [
+ "ㄘㄨ4"
+ ],
+ "𥪴": [
+ "ㄆㄤ4"
+ ],
+ "𥪵": [
+ "ㄑㄧㄝ4"
+ ],
+ "𥪻": [
+ "ㄌㄨㄥ2"
+ ],
+ "𥪼": [
+ "ㄐㄧ3"
+ ],
+ "𥫂": [
+ "ㄊㄨㄥ2"
+ ],
+ "𥫃": [
+ "ㄧ2"
+ ],
+ "𥫅": [
+ "ㄔㄤ1"
+ ],
+ "𥫋": [
+ "ㄍㄨㄥ1"
+ ],
+ "𥫎": [
+ "ㄉㄨㄥ4"
+ ],
+ "𥫖": [
+ "ㄒㄧㄤ1"
+ ],
+ "𥫙": [
+ "ㄊㄧㄥ3"
+ ],
+ "𥫛": [
+ "ㄓㄨㄢ1"
+ ],
+ "𥫜": [
+ "ㄧ3"
+ ],
+ "𥫝": [
+ "ㄧ4"
+ ],
+ "𥫞": [
+ "ㄗ3"
+ ],
+ "𥫟": [
+ "ㄑㄧ3"
+ ],
+ "𥫢": [
+ "ㄔㄚ3"
+ ],
+ "𥫬": [
+ "ㄉㄨㄣ4"
+ ],
+ "𥫯": [
+ "ㄔㄨㄥ1"
+ ],
+ "𥫰": [
+ "ㄌㄨ4"
+ ],
+ "𥫱": [
+ "ㄉㄨㄣ4"
+ ],
+ "𥫳": [
+ "ㄈㄤ1"
+ ],
+ "𥫴": [
+ "ㄕ4"
+ ],
+ "𥫵": [
+ "ㄊㄧ4"
+ ],
+ "𥫶": [
+ "ㄐㄧ1"
+ ],
+ "𥫷": [
+ "ㄑㄧㄡ1"
+ ],
+ "𥫸": [
+ "ㄕㄨㄟ3"
+ ],
+ "𥫹": [
+ "ㄔㄣ2"
+ ],
+ "𥫼": [
+ "ㄏㄨㄤ4"
+ ],
+ "𥫽": [
+ "ㄕ5"
+ ],
+ "𥬀": [
+ "ㄩㄣ2"
+ ],
+ "𥬆": [
+ "ㄌㄨㄥ2"
+ ],
+ "𥬈": [
+ "ㄇㄢ3"
+ ],
+ "𥬉": [
+ "ㄍㄡ1"
+ ],
+ "𥬍": [
+ "ㄒㄧㄢ1"
+ ],
+ "𥬎": [
+ "ㄇㄛ4"
+ ],
+ "𥬐": [
+ "ㄕㄣ3"
+ ],
+ "𥬒": [
+ "ㄆㄛ1"
+ ],
+ "𥬓": [
+ "ㄧㄠ4"
+ ],
+ "𥬔": [
+ "ㄑㄩ1"
+ ],
+ "𥬕": [
+ "ㄖㄢ3"
+ ],
+ "𥬙": [
+ "ㄐㄩ4"
+ ],
+ "𥬜": [
+ "ㄧㄣ3"
+ ],
+ "𥬝": [
+ "ㄅㄞ2"
+ ],
+ "𥬞": [
+ "ㄋㄧㄝ4"
+ ],
+ "𥬠": [
+ "ㄔㄡ1"
+ ],
+ "𥬪": [
+ "ㄖㄨㄥ2"
+ ],
+ "𥬫": [
+ "ㄔㄨㄢ3"
+ ],
+ "𥬬": [
+ "ㄋㄧㄝ4"
+ ],
+ "𥬭": [
+ "ㄌㄧ4",
+ "ㄌㄧㄝ4"
+ ],
+ "𥬮": [
+ "ㄐㄧㄤ1"
+ ],
+ "𥬯": [
+ "ㄎㄠ3"
+ ],
+ "𥬰": [
+ "ㄘㄜ4",
+ "ㄓㄚ4"
+ ],
+ "𥬱": [
+ "ㄔㄨㄥ4"
+ ],
+ "𥬲": [
+ "ㄓㄨㄚ1",
+ "ㄉㄨㄛ4"
+ ],
+ "𥬳": [
+ "ㄗ3"
+ ],
+ "𥬴": [
+ "ㄧㄤ2"
+ ],
+ "𥬼": [
+ "ㄨㄣ3"
+ ],
+ "𥭋": [
+ "ㄐㄧ4"
+ ],
+ "𥭌": [
+ "ㄐㄧ4"
+ ],
+ "𥭐": [
+ "ㄌㄩ4"
+ ],
+ "𥭑": [
+ "ㄑㄧㄡ2"
+ ],
+ "𥭒": [
+ "ㄉㄨㄣ4"
+ ],
+ "𥭓": [
+ "ㄅㄠ2"
+ ],
+ "𥭔": [
+ "ㄔㄢ1"
+ ],
+ "𥭖": [
+ "ㄅㄛ2"
+ ],
+ "𥭘": [
+ "ㄔ1"
+ ],
+ "𥭙": [
+ "ㄓㄜ4",
+ "ㄋㄧㄝ4"
+ ],
+ "𥭚": [
+ "ㄇㄤ4"
+ ],
+ "𥭜": [
+ "ㄐㄧ4"
+ ],
+ "𥭝": [
+ "ㄇㄧㄠ4"
+ ],
+ "𥭞": [
+ "ㄩㄢ4"
+ ],
+ "𥭠": [
+ "ㄨ2"
+ ],
+ "𥭡": [
+ "ㄓ4"
+ ],
+ "𥭢": [
+ "ㄆㄧㄥ1"
+ ],
+ "𥭥": [
+ "ㄔㄨㄥ1"
+ ],
+ "𥭫": [
+ "ㄇㄧ2"
+ ],
+ "𥭬": [
+ "ㄈㄟ2"
+ ],
+ "𥭭": [
+ "ㄘㄨㄛ1"
+ ],
+ "𥭮": [
+ "ㄇㄥ2"
+ ],
+ "𥮍": [
+ "ㄧㄣ2"
+ ],
+ "𥮎": [
+ "ㄇㄤ3"
+ ],
+ "𥮏": [
+ "ㄉㄧㄢ3"
+ ],
+ "𥮐": [
+ "ㄉㄧㄠ1"
+ ],
+ "𥮒": [
+ "ㄑㄧㄢ2",
+ "ㄓㄢ1"
+ ],
+ "𥮕": [
+ "ㄏㄤ4"
+ ],
+ "𥮖": [
+ "ㄓ2"
+ ],
+ "𥮗": [
+ "ㄐㄩ2"
+ ],
+ "𥮘": [
+ "ㄋㄧㄢ4"
+ ],
+ "𥮜": [
+ "ㄇㄧ2"
+ ],
+ "𥮝": [
+ "ㄍㄨ3"
+ ],
+ "𥮣": [
+ "ㄓㄨㄚ1"
+ ],
+ "𥮤": [
+ "ㄋㄧㄝ4"
+ ],
+ "𥮥": [
+ "ㄓㄨㄛ2"
+ ],
+ "𥮧": [
+ "ㄧㄝ4"
+ ],
+ "𥮨": [
+ "ㄘㄨㄥ4"
+ ],
+ "𥮪": [
+ "ㄒㄩ1",
+ "ㄐㄧ2"
+ ],
+ "𥮬": [
+ "ㄒㄧ4"
+ ],
+ "𥮯": [
+ "ㄅㄛ1"
+ ],
+ "𥮾": [
+ "ㄘㄢ3",
+ "ㄗㄢ1"
+ ],
+ "𥯃": [
+ "ㄧㄢ3"
+ ],
+ "𥯑": [
+ "ㄐㄧㄣ3"
+ ],
+ "𥯔": [
+ "ㄐㄩ3"
+ ],
+ "𥯕": [
+ "ㄉㄤ4"
+ ],
+ "𥯖": [
+ "ㄉㄨ4"
+ ],
+ "𥯘": [
+ "ㄧㄝ2"
+ ],
+ "𥯙": [
+ "ㄐㄧㄥ4"
+ ],
+ "𥯚": [
+ "ㄎㄜ4"
+ ],
+ "𥯛": [
+ "ㄌㄨㄛ4"
+ ],
+ "𥯜": [
+ "ㄨㄟ3"
+ ],
+ "𥯝": [
+ "ㄊㄨ1"
+ ],
+ "𥯞": [
+ "ㄧㄡ2"
+ ],
+ "𥯟": [
+ "ㄆㄞ4"
+ ],
+ "𥯡": [
+ "ㄆㄧ2"
+ ],
+ "𥯢": [
+ "ㄉㄧㄥ4"
+ ],
+ "𥯤": [
+ "ㄨㄟ3"
+ ],
+ "𥯥": [
+ "ㄔㄜ4"
+ ],
+ "𥯦": [
+ "ㄐㄧㄢ4",
+ "ㄕㄚ4"
+ ],
+ "𥯨": [
+ "ㄙ1"
+ ],
+ "𥯩": [
+ "ㄓㄨㄛ2"
+ ],
+ "𥯪": [
+ "ㄙㄡ4"
+ ],
+ "𥯬": [
+ "ㄖㄨㄢ3"
+ ],
+ "𥯮": [
+ "ㄩ2"
+ ],
+ "𥯳": [
+ "ㄜ4"
+ ],
+ "𥯶": [
+ "ㄎㄨ3"
+ ],
+ "𥯸": [
+ "ㄓㄨ4"
+ ],
+ "𥯾": [
+ "ㄒㄧㄚ2"
+ ],
+ "𥰛": [
+ "ㄈㄨ2"
+ ],
+ "𥰜": [
+ "ㄊㄠ2"
+ ],
+ "𥰝": [
+ "ㄒㄧ1"
+ ],
+ "𥰞": [
+ "ㄔㄡ1",
+ "ㄙㄡ3"
+ ],
+ "𥰟": [
+ "ㄩㄢ2"
+ ],
+ "𥰠": [
+ "ㄌㄩ2"
+ ],
+ "𥰡": [
+ "ㄘㄜ4"
+ ],
+ "𥰢": [
+ "ㄕㄢ4"
+ ],
+ "𥰣": [
+ "ㄌㄧㄡ2"
+ ],
+ "𥰥": [
+ "ㄒㄧ4"
+ ],
+ "𥰦": [
+ "ㄐㄧ1"
+ ],
+ "𥰧": [
+ "ㄧ3"
+ ],
+ "𥰨": [
+ "ㄊㄢ2"
+ ],
+ "𥰪": [
+ "ㄏㄨ2"
+ ],
+ "𥰭": [
+ "ㄘㄨㄛ1",
+ "ㄓㄚ3",
+ "ㄘ1"
+ ],
+ "𥰮": [
+ "ㄍㄜ3"
+ ],
+ "𥰰": [
+ "ㄕ4",
+ "ㄕㄜ2"
+ ],
+ "𥰱": [
+ "ㄙㄠ1"
+ ],
+ "𥰲": [
+ "ㄏㄨㄥ4"
+ ],
+ "𥰳": [
+ "ㄒㄧㄢ4"
+ ],
+ "𥰶": [
+ "ㄒㄧㄚ2"
+ ],
+ "𥰻": [
+ "ㄇㄨ4"
+ ],
+ "𥰼": [
+ "ㄙㄨㄛ3"
+ ],
+ "𥰾": [
+ "ㄓㄞ4"
+ ],
+ "𥱀": [
+ "ㄈㄨ1"
+ ],
+ "𥱁": [
+ "ㄙㄜ4"
+ ],
+ "𥱂": [
+ "ㄋㄨ2"
+ ],
+ "𥱃": [
+ "ㄧ4"
+ ],
+ "𥱧": [
+ "ㄑㄧㄣ2"
+ ],
+ "𥱨": [
+ "ㄑㄧㄥ4"
+ ],
+ "𥱵": [
+ "ㄏㄨㄟ4",
+ "ㄙㄨㄟ4",
+ "ㄒㄧ2"
+ ],
+ "𥱶": [
+ "ㄕㄨㄤ3"
+ ],
+ "𥱷": [
+ "ㄉㄢ3"
+ ],
+ "𥱸": [
+ "ㄡ1"
+ ],
+ "𥱹": [
+ "ㄇㄛ4"
+ ],
+ "𥱺": [
+ "ㄑㄧㄢ1"
+ ],
+ "𥱻": [
+ "ㄔ4",
+ "ㄊㄨ2"
+ ],
+ "𥱼": [
+ "ㄆㄞ2",
+ "ㄆㄧ4"
+ ],
+ "𥱽": [
+ "ㄐㄩㄢ4"
+ ],
+ "𥲀": [
+ "ㄔㄠ2"
+ ],
+ "𥲁": [
+ "ㄌㄧㄝ4"
+ ],
+ "𥲂": [
+ "ㄅㄧㄥ1"
+ ],
+ "𥲃": [
+ "ㄎㄡ4"
+ ],
+ "𥲄": [
+ "ㄉㄢ4"
+ ],
+ "𥲅": [
+ "ㄔㄡ2"
+ ],
+ "𥲆": [
+ "ㄊㄨㄥ1"
+ ],
+ "𥲇": [
+ "ㄉㄢ4"
+ ],
+ "𥲈": [
+ "ㄇㄢ3"
+ ],
+ "𥲉": [
+ "ㄏㄨ4"
+ ],
+ "𥲊": [
+ "ㄌㄧㄠ2"
+ ],
+ "𥲋": [
+ "ㄒㄧㄢ2"
+ ],
+ "𥲍": [
+ "ㄘㄠ2"
+ ],
+ "𥲎": [
+ "ㄌㄨ4"
+ ],
+ "𥲏": [
+ "ㄔㄨㄢ4"
+ ],
+ "𥲐": [
+ "ㄨ2"
+ ],
+ "𥲑": [
+ "ㄇㄢ2"
+ ],
+ "𥲕": [
+ "ㄗ3"
+ ],
+ "𥲗": [
+ "ㄉㄨ4"
+ ],
+ "𥲚": [
+ "ㄕㄨㄤ4"
+ ],
+ "𥲛": [
+ "ㄈㄨ4"
+ ],
+ "𥲜": [
+ "ㄐㄩ4"
+ ],
+ "𥲝": [
+ "ㄓㄡ4"
+ ],
+ "𥲟": [
+ "ㄉㄧㄠ4"
+ ],
+ "𥲠": [
+ "ㄨㄤ4"
+ ],
+ "𥲡": [
+ "ㄔㄨㄤ1"
+ ],
+ "𥲢": [
+ "ㄑㄧㄢ1"
+ ],
+ "𥲣": [
+ "ㄊㄨㄟ4"
+ ],
+ "𥲥": [
+ "ㄌㄧㄢ2"
+ ],
+ "𥲦": [
+ "ㄅㄧㄠ1"
+ ],
+ "𥲧": [
+ "ㄌㄧ2"
+ ],
+ "𥲪": [
+ "ㄌㄧ2"
+ ],
+ "𥳆": [
+ "ㄅㄧ4"
+ ],
+ "𥳇": [
+ "ㄈㄨ4"
+ ],
+ "𥳈": [
+ "ㄘㄨㄟ4"
+ ],
+ "𥳉": [
+ "ㄉㄨ1"
+ ],
+ "𥳋": [
+ "ㄗㄢ4",
+ "ㄗㄢ1"
+ ],
+ "𥳌": [
+ "ㄌㄨㄥ2"
+ ],
+ "𥳍": [
+ "ㄒㄩㄣ2"
+ ],
+ "𥳎": [
+ "ㄑㄩㄥ2"
+ ],
+ "𥳏": [
+ "ㄐㄧ1"
+ ],
+ "𥳐": [
+ "ㄑㄧㄢ3"
+ ],
+ "𥳒": [
+ "ㄐㄧㄢ3"
+ ],
+ "𥳓": [
+ "ㄕㄠ1"
+ ],
+ "𥳔": [
+ "ㄉㄨㄛ4"
+ ],
+ "𥳕": [
+ "ㄕㄨ1"
+ ],
+ "𥳖": [
+ "ㄅㄨ4"
+ ],
+ "𥳗": [
+ "ㄒㄩ1"
+ ],
+ "𥳘": [
+ "ㄉㄨㄥ3"
+ ],
+ "𥳚": [
+ "ㄖㄢ2"
+ ],
+ "𥳜": [
+ "ㄧㄤ2"
+ ],
+ "𥳝": [
+ "ㄖㄨㄟ3"
+ ],
+ "𥳞": [
+ "ㄌㄧㄣ4"
+ ],
+ "𥳟": [
+ "ㄐㄧㄢ3"
+ ],
+ "𥳠": [
+ "ㄉㄧ4"
+ ],
+ "𥳡": [
+ "ㄈㄣ2"
+ ],
+ "𥳢": [
+ "ㄉㄧㄢ4"
+ ],
+ "𥳣": [
+ "ㄗㄨㄟ4"
+ ],
+ "𥳥": [
+ "ㄋㄧㄥ3"
+ ],
+ "𥳪": [
+ "ㄙㄨㄢ4"
+ ],
+ "𥳫": [
+ "ㄊㄧㄢ3"
+ ],
+ "𥳬": [
+ "ㄢ4"
+ ],
+ "𥳯": [
+ "ㄘㄜ4"
+ ],
+ "𥳰": [
+ "ㄉㄧㄥ4"
+ ],
+ "𥳱": [
+ "ㄕㄣ1"
+ ],
+ "𥳲": [
+ "ㄉㄨ4"
+ ],
+ "𥳳": [
+ "ㄊㄧ2"
+ ],
+ "𥳴": [
+ "ㄐㄧㄠ3"
+ ],
+ "𥳵": [
+ "ㄗㄨㄟ4"
+ ],
+ "𥳶": [
+ "ㄓㄤ3"
+ ],
+ "𥳷": [
+ "ㄐㄧㄢ3"
+ ],
+ "𥳸": [
+ "ㄉㄢ4"
+ ],
+ "𥳹": [
+ "ㄉㄢ3"
+ ],
+ "𥳺": [
+ "ㄙㄨㄥ3"
+ ],
+ "𥴐": [
+ "ㄓㄢ3"
+ ],
+ "𥴑": [
+ "ㄊㄧㄥ2"
+ ],
+ "𥴒": [
+ "ㄓ4"
+ ],
+ "𥴕": [
+ "ㄧㄡ2"
+ ],
+ "𥴖": [
+ "ㄆㄞ2"
+ ],
+ "𥴡": [
+ "ㄌㄧ3"
+ ],
+ "𥴤": [
+ "ㄑㄧㄢ2"
+ ],
+ "𥴦": [
+ "ㄙㄨㄟ4",
+ "ㄉㄧ2"
+ ],
+ "𥴧": [
+ "ㄐㄩ3"
+ ],
+ "𥴨": [
+ "ㄞ4"
+ ],
+ "𥴩": [
+ "ㄍㄜ2"
+ ],
+ "𥴪": [
+ "ㄐㄩ4"
+ ],
+ "𥴫": [
+ "ㄊㄨㄣ2",
+ "ㄉㄧㄢ4"
+ ],
+ "𥴬": [
+ "ㄅㄧ4"
+ ],
+ "𥴭": [
+ "ㄑㄧㄚ4"
+ ],
+ "𥴮": [
+ "ㄅㄛ2"
+ ],
+ "𥴯": [
+ "ㄏㄨㄟ4"
+ ],
+ "𥴱": [
+ "ㄐㄧㄢ4"
+ ],
+ "𥴴": [
+ "ㄍㄡ1"
+ ],
+ "𥴵": [
+ "ㄙㄨㄢ4"
+ ],
+ "𥴺": [
+ "ㄘ2"
+ ],
+ "𥴻": [
+ "ㄑㄧㄤ4"
+ ],
+ "𥴿": [
+ "ㄧㄢ2"
+ ],
+ "𥵏": [
+ "ㄉㄧㄢ4"
+ ],
+ "𥵒": [
+ "ㄇㄧㄝ4"
+ ],
+ "𥵜": [
+ "ㄆㄛ4"
+ ],
+ "𥵝": [
+ "ㄌㄧㄥ3"
+ ],
+ "𥵞": [
+ "ㄐㄧㄝ2"
+ ],
+ "𥵟": [
+ "ㄓㄨ4"
+ ],
+ "𥵠": [
+ "ㄍㄨ3"
+ ],
+ "𥵣": [
+ "ㄉㄨㄢ1"
+ ],
+ "𥵤": [
+ "ㄓㄠ4"
+ ],
+ "𥵦": [
+ "ㄕㄠ3"
+ ],
+ "𥵧": [
+ "ㄑㄧㄣ3"
+ ],
+ "𥵨": [
+ "ㄇㄧ2"
+ ],
+ "𥵪": [
+ "ㄆㄧㄥ2"
+ ],
+ "𥵫": [
+ "ㄘㄨㄥ2"
+ ],
+ "𥵬": [
+ "ㄔㄡ1"
+ ],
+ "𥵯": [
+ "ㄙㄚ4"
+ ],
+ "𥵶": [
+ "ㄊㄧㄢ3"
+ ],
+ "𥶅": [
+ "ㄌㄧㄡ2"
+ ],
+ "𥶆": [
+ "ㄌㄩ2"
+ ],
+ "𥶇": [
+ "ㄌㄨ3"
+ ],
+ "𥶈": [
+ "ㄗㄡ1"
+ ],
+ "𥶌": [
+ "ㄌㄩ4"
+ ],
+ "𥶍": [
+ "ㄏㄨㄢ3"
+ ],
+ "𥶏": [
+ "ㄊㄧㄠ2"
+ ],
+ "𥶐": [
+ "ㄊㄨㄟ2"
+ ],
+ "𥶑": [
+ "ㄑㄧㄤ3"
+ ],
+ "𥶒": [
+ "ㄌㄧㄣ4"
+ ],
+ "𥶓": [
+ "ㄅㄟ1"
+ ],
+ "𥶔": [
+ "ㄆㄠ2"
+ ],
+ "𥶕": [
+ "ㄓㄢ1"
+ ],
+ "𥶗": [
+ "ㄌㄧ4"
+ ],
+ "𥶛": [
+ "ㄊㄧ2"
+ ],
+ "𥶜": [
+ "ㄏㄨ2"
+ ],
+ "𥶢": [
+ "ㄌㄧㄝ4"
+ ],
+ "𥶵": [
+ "ㄏㄨㄟ3"
+ ],
+ "𥶶": [
+ "ㄑㄩ1"
+ ],
+ "𥶷": [
+ "ㄒㄩㄢ3"
+ ],
+ "𥶹": [
+ "ㄐㄧㄥ4"
+ ],
+ "𥶺": [
+ "ㄉㄧㄝ2"
+ ],
+ "𥶻": [
+ "ㄙㄨㄟ2"
+ ],
+ "𥶽": [
+ "ㄨㄟ4"
+ ],
+ "𥶿": [
+ "ㄧㄢ2"
+ ],
+ "𥷀": [
+ "ㄧㄢ1"
+ ],
+ "𥷁": [
+ "ㄅㄢ4"
+ ],
+ "𥷃": [
+ "ㄐㄧㄤ3"
+ ],
+ "𥷄": [
+ "ㄋㄧ3"
+ ],
+ "𥷅": [
+ "ㄌㄧ4"
+ ],
+ "𥷆": [
+ "ㄏㄨ2"
+ ],
+ "𥷇": [
+ "ㄑㄧ4"
+ ],
+ "𥷈": [
+ "ㄓㄨㄥ1"
+ ],
+ "𥷑": [
+ "ㄅㄧ4"
+ ],
+ "𥷔": [
+ "ㄩ2"
+ ],
+ "𥷕": [
+ "ㄉㄧㄝ2"
+ ],
+ "𥷖": [
+ "ㄌㄧㄣ4"
+ ],
+ "𥷗": [
+ "ㄌㄧ4"
+ ],
+ "𥷘": [
+ "ㄓㄨㄛ2"
+ ],
+ "𥷙": [
+ "ㄐㄧ4"
+ ],
+ "𥷚": [
+ "ㄐㄩ1"
+ ],
+ "𥷜": [
+ "ㄈㄥ1"
+ ],
+ "𥷞": [
+ "ㄩ4"
+ ],
+ "𥷨": [
+ "ㄌㄧㄝ4"
+ ],
+ "𥷩": [
+ "ㄗㄚ2"
+ ],
+ "𥷪": [
+ "ㄑㄧㄢ2"
+ ],
+ "𥷫": [
+ "ㄐㄧㄝ1"
+ ],
+ "𥷬": [
+ "ㄍㄨㄢ1"
+ ],
+ "𥷮": [
+ "ㄓㄨㄛ2",
+ "ㄓㄠ1"
+ ],
+ "𥷱": [
+ "ㄈㄨ4"
+ ],
+ "𥷹": [
+ "ㄙㄜ4"
+ ],
+ "𥷼": [
+ "ㄘㄨ4"
+ ],
+ "𥸃": [
+ "ㄏㄨㄟ3"
+ ],
+ "𥸈": [
+ "ㄉㄤ4"
+ ],
+ "𥸉": [
+ "ㄌㄨㄥ2"
+ ],
+ "𥸊": [
+ "ㄧ4"
+ ],
+ "𥸗": [
+ "ㄙㄚ3"
+ ],
+ "𥸘": [
+ "ㄩㄝ4"
+ ],
+ "𥸚": [
+ "ㄉㄧ2"
+ ],
+ "𥸡": [
+ "ㄍㄢ3"
+ ],
+ "𥸢": [
+ "ㄗㄢ1"
+ ],
+ "𥸣": [
+ "ㄕㄢ4"
+ ],
+ "𥸤": [
+ "ㄩ4"
+ ],
+ "𥸥": [
+ "ㄅㄛ3"
+ ],
+ "𥸧": [
+ "ㄉㄧㄥ4"
+ ],
+ "𥸨": [
+ "ㄈㄢ2",
+ "ㄅㄛ3",
+ "ㄅㄨ3"
+ ],
+ "𥸪": [
+ "ㄩ4"
+ ],
+ "𥸬": [
+ "ㄕㄣ1"
+ ],
+ "𥸲": [
+ "ㄍㄨㄥ1"
+ ],
+ "𥸴": [
+ "ㄇㄧㄝ4"
+ ],
+ "𥸵": [
+ "ㄊㄨㄣ2"
+ ],
+ "𥸸": [
+ "ㄌㄧㄝ4"
+ ],
+ "𥹁": [
+ "ㄓㄚ1",
+ "ㄗㄨㄛ4"
+ ],
+ "𥹂": [
+ "ㄆㄟ1"
+ ],
+ "𥹄": [
+ "ㄇㄧ2"
+ ],
+ "𥹆": [
+ "ㄇㄧㄥ2"
+ ],
+ "𥹇": [
+ "ㄈㄢ4"
+ ],
+ "𥹉": [
+ "ㄋㄚ4"
+ ],
+ "𥹊": [
+ "ㄙ4"
+ ],
+ "𥹋": [
+ "ㄧ2"
+ ],
+ "𥹌": [
+ "ㄐㄧㄚ1"
+ ],
+ "𥹍": [
+ "ㄓㄨ4"
+ ],
+ "𥹓": [
+ "ㄅㄢ1"
+ ],
+ "𥹔": [
+ "ㄩ4"
+ ],
+ "𥹖": [
+ "ㄆㄛ3"
+ ],
+ "𥹚": [
+ "ㄏㄨㄢ1"
+ ],
+ "𥹛": [
+ "ㄘㄢ4"
+ ],
+ "𥹜": [
+ "ㄐㄧㄠ1"
+ ],
+ "𥹠": [
+ "ㄊㄢ2"
+ ],
+ "𥹩": [
+ "ㄓ4"
+ ],
+ "𥹫": [
+ "ㄇㄧ3"
+ ],
+ "𥹬": [
+ "ㄎㄠ3"
+ ],
+ "𥹱": [
+ "ㄧㄠ1"
+ ],
+ "𥹲": [
+ "ㄉㄨㄟ4"
+ ],
+ "𥹳": [
+ "ㄑㄩㄢ3",
+ "ㄏㄨㄢ2"
+ ],
+ "𥹴": [
+ "ㄅㄨ4"
+ ],
+ "𥹵": [
+ "ㄔㄨ4"
+ ],
+ "𥹶": [
+ "ㄑㄧㄠ3"
+ ],
+ "𥹷": [
+ "ㄌㄧㄡ2"
+ ],
+ "𥹸": [
+ "ㄅㄛ2"
+ ],
+ "𥹺": [
+ "ㄎㄤ1"
+ ],
+ "𥹻": [
+ "ㄈㄣ4"
+ ],
+ "𥺅": [
+ "ㄉㄠ4"
+ ],
+ "𥺉": [
+ "ㄉㄡ4"
+ ],
+ "𥺊": [
+ "ㄍㄜ2"
+ ],
+ "𥺙": [
+ "ㄌㄧㄥ2"
+ ],
+ "𥺚": [
+ "ㄒㄧ2"
+ ],
+ "𥺜": [
+ "ㄋㄧ4"
+ ],
+ "𥺝": [
+ "ㄓㄡ1"
+ ],
+ "𥺞": [
+ "ㄓㄡ1",
+ "ㄩ4"
+ ],
+ "𥺣": [
+ "ㄔㄡ1"
+ ],
+ "𥺴": [
+ "ㄋㄧㄢ1"
+ ],
+ "𥺵": [
+ "ㄐㄧ1"
+ ],
+ "𥺷": [
+ "ㄑㄩ1"
+ ],
+ "𥻄": [
+ "ㄎㄞ1"
+ ],
+ "𥻇": [
+ "ㄒㄧㄢ4"
+ ],
+ "𥻉": [
+ "ㄏㄜ2"
+ ],
+ "𥻋": [
+ "ㄌㄧㄣ2"
+ ],
+ "𥻍": [
+ "ㄗ1"
+ ],
+ "𥻑": [
+ "ㄡ3",
+ "ㄌㄧ4"
+ ],
+ "𥻒": [
+ "ㄘㄨ4",
+ "ㄇㄧ4"
+ ],
+ "𥻗": [
+ "ㄔㄚ2"
+ ],
+ "𥻝": [
+ "ㄓㄨㄥ4"
+ ],
+ "𥻞": [
+ "ㄅㄨ2"
+ ],
+ "𥻤": [
+ "ㄔㄡ1"
+ ],
+ "𥻥": [
+ "ㄒㄧ4"
+ ],
+ "𥻦": [
+ "ㄙㄚ4"
+ ],
+ "𥻧": [
+ "ㄒㄧㄢ2",
+ "ㄐㄧㄢ1"
+ ],
+ "𥻨": [
+ "ㄙㄜ4"
+ ],
+ "𥻩": [
+ "ㄇㄧㄢ4"
+ ],
+ "𥻫": [
+ "ㄈㄢ2"
+ ],
+ "𥻬": [
+ "ㄓ1"
+ ],
+ "𥻮": [
+ "ㄘㄨㄟ4"
+ ],
+ "𥻴": [
+ "ㄒㄧㄚ4"
+ ],
+ "𥻾": [
+ "ㄋㄨㄛ4"
+ ],
+ "𥻿": [
+ "ㄌㄧ2"
+ ],
+ "𥼀": [
+ "ㄗㄨ2"
+ ],
+ "𥼂": [
+ "ㄘㄨㄟ1"
+ ],
+ "𥼃": [
+ "ㄗㄜ2"
+ ],
+ "𥼅": [
+ "ㄌㄧ2"
+ ],
+ "𥼘": [
+ "ㄑㄧ2"
+ ],
+ "𥼚": [
+ "ㄓㄨㄛ1"
+ ],
+ "𥼛": [
+ "ㄘㄨㄟ4"
+ ],
+ "𥼜": [
+ "ㄆㄨ1"
+ ],
+ "𥼞": [
+ "ㄈㄢ2"
+ ],
+ "𥼟": [
+ "ㄊㄢ2"
+ ],
+ "𥼩": [
+ "ㄗ1"
+ ],
+ "𥼪": [
+ "ㄗㄨ3"
+ ],
+ "𥼫": [
+ "ㄓㄡ1"
+ ],
+ "𥼬": [
+ "ㄖㄨㄥ2"
+ ],
+ "𥼭": [
+ "ㄌㄧㄣ2"
+ ],
+ "𥼮": [
+ "ㄊㄢ2"
+ ],
+ "𥼶": [
+ "ㄕ4"
+ ],
+ "𥼺": [
+ "ㄘㄨㄟ3"
+ ],
+ "𥼻": [
+ "ㄗ1"
+ ],
+ "𥼼": [
+ "ㄈㄨ1"
+ ],
+ "𥽁": [
+ "ㄒㄧㄠ4"
+ ],
+ "𥽈": [
+ "ㄈㄥ1",
+ "ㄌㄧ3"
+ ],
+ "𥽏": [
+ "ㄒㄧㄢ4"
+ ],
+ "𥽐": [
+ "ㄐㄧㄢ4"
+ ],
+ "𥽒": [
+ "ㄈㄣ4"
+ ],
+ "𥽗": [
+ "ㄌㄧ4"
+ ],
+ "𥽘": [
+ "ㄇㄛ4",
+ "ㄇㄧㄝ4"
+ ],
+ "𥽟": [
+ "ㄧㄡ1"
+ ],
+ "𥽥": [
+ "ㄏㄨㄛ4"
+ ],
+ "𥽧": [
+ "ㄑㄩ1"
+ ],
+ "𥽬": [
+ "ㄋㄧㄤ4"
+ ],
+ "𥽰": [
+ "ㄇㄧ2"
+ ],
+ "𥽳": [
+ "ㄑㄧ4"
+ ],
+ "𥽶": [
+ "ㄏㄜ2"
+ ],
+ "𥽸": [
+ "ㄌㄧㄢ4"
+ ],
+ "𥽿": [
+ "ㄗㄨㄛ4"
+ ],
+ "𥾂": [
+ "ㄌㄧㄥ2"
+ ],
+ "𥾅": [
+ "ㄓㄨ2"
+ ],
+ "𥾇": [
+ "ㄋㄧㄠ3"
+ ],
+ "𥾊": [
+ "ㄐㄧ3"
+ ],
+ "𥾋": [
+ "ㄖㄥ2"
+ ],
+ "𥾌": [
+ "ㄐㄧㄝ2"
+ ],
+ "𥾍": [
+ "ㄍㄢ3"
+ ],
+ "𥾐": [
+ "ㄧ4"
+ ],
+ "𥾓": [
+ "ㄓㄡ2"
+ ],
+ "𥾕": [
+ "ㄨ4"
+ ],
+ "𥾚": [
+ "ㄍㄥ3",
+ "ㄉㄢ3"
+ ],
+ "𥾛": [
+ "ㄘㄨ4"
+ ],
+ "𥾝": [
+ "ㄇㄧㄝ4",
+ "ㄇㄧㄢ3"
+ ],
+ "𥾡": [
+ "ㄒㄩㄣ2",
+ "ㄐㄧ1"
+ ],
+ "𥾣": [
+ "ㄓ1"
+ ],
+ "𥾤": [
+ "ㄒㄧㄠ2"
+ ],
+ "𥾧": [
+ "ㄈㄨ2"
+ ],
+ "𥾨": [
+ "ㄏㄨ2"
+ ],
+ "𥾬": [
+ "ㄉㄧ1"
+ ],
+ "𥾮": [
+ "ㄐㄩㄝ2"
+ ],
+ "𥾯": [
+ "ㄉㄧㄠ4"
+ ],
+ "𥾹": [
+ "ㄕㄡ3"
+ ],
+ "𥾼": [
+ "ㄨㄤ3"
+ ],
+ "𥿃": [
+ "ㄋㄚ4"
+ ],
+ "𥿄": [
+ "ㄉㄧ1"
+ ],
+ "𥿅": [
+ "ㄕ4"
+ ],
+ "𥿆": [
+ "ㄘ2"
+ ],
+ "𥿇": [
+ "ㄕㄨ1"
+ ],
+ "𥿉": [
+ "ㄨㄚ4",
+ "ㄇㄛ4"
+ ],
+ "𥿊": [
+ "ㄔㄜ4"
+ ],
+ "𥿋": [
+ "ㄈㄢ2",
+ "ㄅㄧㄢ4"
+ ],
+ "𥿍": [
+ "ㄍㄨ1"
+ ],
+ "𥿎": [
+ "ㄩㄢ1",
+ "ㄨㄢ3"
+ ],
+ "𥿑": [
+ "ㄍㄨㄢ1",
+ "ㄌㄨㄣ2"
+ ],
+ "𥿚": [
+ "ㄑㄧㄝ4"
+ ],
+ "𥿜": [
+ "ㄓㄢ3",
+ "ㄓㄣ3"
+ ],
+ "𥿝": [
+ "ㄉㄞ4"
+ ],
+ "𥿞": [
+ "ㄕㄜ1"
+ ],
+ "𥿦": [
+ "ㄓㄡ1"
+ ],
+ "𥿧": [
+ "ㄒㄧㄤ3"
+ ],
+ "𥿨": [
+ "ㄇㄧㄥ2"
+ ],
+ "𥿩": [
+ "ㄗ4"
+ ],
+ "𥿪": [
+ "ㄏㄨㄤ1"
+ ],
+ "𥿫": [
+ "ㄇㄧ2",
+ "ㄧ4",
+ "ㄨㄟ4"
+ ],
+ "𥿭": [
+ "ㄒㄧ4"
+ ],
+ "𥿮": [
+ "ㄓ4",
+ "ㄕ4"
+ ],
+ "𥿯": [
+ "ㄆㄞ4"
+ ],
+ "𥿰": [
+ "ㄉㄨㄛ3"
+ ],
+ "𥿴": [
+ "ㄘ4"
+ ],
+ "𥿵": [
+ "ㄇㄡ2"
+ ],
+ "𥿷": [
+ "ㄔㄠ4"
+ ],
+ "𥿹": [
+ "ㄧ4"
+ ],
+ "𥿺": [
+ "ㄍㄡ1"
+ ],
+ "𦀇": [
+ "ㄐㄧㄥ1"
+ ],
+ "𦀓": [
+ "ㄗㄥ1",
+ "ㄐㄧㄝ1"
+ ],
+ "𦀔": [
+ "ㄆㄧㄥ1"
+ ],
+ "𦀕": [
+ "ㄧㄝ4"
+ ],
+ "𦀖": [
+ "ㄐㄧㄝ2"
+ ],
+ "𦀘": [
+ "ㄆㄧ1",
+ "ㄅㄧ1"
+ ],
+ "𦀛": [
+ "ㄕㄚ1"
+ ],
+ "𦀜": [
+ "ㄓㄨㄤ4"
+ ],
+ "𦀝": [
+ "ㄐㄩㄥ3"
+ ],
+ "𦀠": [
+ "ㄌㄧㄡ2"
+ ],
+ "𦀡": [
+ "ㄩ3"
+ ],
+ "𦀣": [
+ "ㄐㄩ1"
+ ],
+ "𦀨": [
+ "ㄋㄨㄛ4"
+ ],
+ "𦀸": [
+ "ㄇㄠ4"
+ ],
+ "𦁄": [
+ "ㄔㄣ1"
+ ],
+ "𦁆": [
+ "ㄓㄨㄢ4",
+ "ㄐㄩㄢ4",
+ "ㄕㄨㄢ4"
+ ],
+ "𦁇": [
+ "ㄋㄧㄢ4"
+ ],
+ "𦁈": [
+ "ㄎㄨㄥ4"
+ ],
+ "𦁉": [
+ "ㄐㄧㄝ1"
+ ],
+ "𦁊": [
+ "ㄏㄨㄚ4"
+ ],
+ "𦁍": [
+ "ㄒㄧㄣ1"
+ ],
+ "𦁎": [
+ "ㄗㄨㄛ2"
+ ],
+ "𦁏": [
+ "ㄧㄢ4"
+ ],
+ "𦁐": [
+ "ㄐㄩㄝ2"
+ ],
+ "𦁕": [
+ "ㄏㄨ1"
+ ],
+ "𦁖": [
+ "ㄓㄡ4"
+ ],
+ "𦁗": [
+ "ㄕㄜ4"
+ ],
+ "𦁙": [
+ "ㄧㄢ3"
+ ],
+ "𦁛": [
+ "ㄒㄧㄝ4",
+ "ㄉㄧㄝ2"
+ ],
+ "𦁜": [
+ "ㄉㄧㄝ2"
+ ],
+ "𦁟": [
+ "ㄔㄣ1",
+ "ㄔㄣ2",
+ "ㄓㄣ3"
+ ],
+ "𦁲": [
+ "ㄐㄧㄢ3"
+ ],
+ "𦁳": [
+ "ㄐㄧ4"
+ ],
+ "𦁶": [
+ "ㄔㄨㄛ4"
+ ],
+ "𦁷": [
+ "ㄏㄨㄥ2"
+ ],
+ "𦂀": [
+ "ㄉㄚ2"
+ ],
+ "𦂄": [
+ "ㄎㄞ1"
+ ],
+ "𦂅": [
+ "ㄒㄧㄥ1",
+ "ㄒㄧ3"
+ ],
+ "𦂆": [
+ "ㄏㄨㄟ4"
+ ],
+ "𦂇": [
+ "ㄐㄧㄢ3"
+ ],
+ "𦂈": [
+ "ㄓㄡ4"
+ ],
+ "𦂉": [
+ "ㄓㄚ3"
+ ],
+ "𦂊": [
+ "ㄈㄨ4"
+ ],
+ "𦂋": [
+ "ㄔ4"
+ ],
+ "𦂌": [
+ "ㄅㄥ3"
+ ],
+ "𦂍": [
+ "ㄋㄨㄛ4"
+ ],
+ "𦂑": [
+ "ㄐㄧ4"
+ ],
+ "𦂒": [
+ "ㄑㄧㄢ2"
+ ],
+ "𦂔": [
+ "ㄨㄢ4"
+ ],
+ "𦂕": [
+ "ㄡ2"
+ ],
+ "𦂖": [
+ "ㄅㄧ4"
+ ],
+ "𦂗": [
+ "ㄕㄨㄛ4"
+ ],
+ "𦂠": [
+ "ㄐㄧㄥ1"
+ ],
+ "𦂡": [
+ "ㄧㄝ4"
+ ],
+ "𦃄": [
+ "ㄈㄟ3"
+ ],
+ "𦃇": [
+ "ㄌㄧ2"
+ ],
+ "𦃊": [
+ "ㄌㄧ4"
+ ],
+ "𦃋": [
+ "ㄆㄧ2"
+ ],
+ "𦃒": [
+ "ㄙㄨㄟ4"
+ ],
+ "𦃓": [
+ "ㄌㄧㄡ2"
+ ],
+ "𦃔": [
+ "ㄏㄜ2"
+ ],
+ "𦃕": [
+ "ㄏㄨㄣ3"
+ ],
+ "𦃖": [
+ "ㄊㄢ3"
+ ],
+ "𦃗": [
+ "ㄕㄨㄛ4"
+ ],
+ "𦃘": [
+ "ㄓ4"
+ ],
+ "𦃙": [
+ "ㄅㄛ2"
+ ],
+ "𦃝": [
+ "ㄒㄧ4"
+ ],
+ "𦃡": [
+ "ㄆㄛ2",
+ "ㄊㄠ1"
+ ],
+ "𦃢": [
+ "ㄑㄩㄣ3"
+ ],
+ "𦃤": [
+ "ㄇㄨ4"
+ ],
+ "𦃽": [
+ "ㄩㄥ1"
+ ],
+ "𦄂": [
+ "ㄉㄞ4"
+ ],
+ "𦄊": [
+ "ㄑㄧ3"
+ ],
+ "𦄋": [
+ "ㄉㄧㄠ3"
+ ],
+ "𦄌": [
+ "ㄋㄧㄝ4"
+ ],
+ "𦄍": [
+ "ㄕㄨㄤ3"
+ ],
+ "𦄏": [
+ "ㄕㄠ1"
+ ],
+ "𦄐": [
+ "ㄎㄨㄣ3",
+ "ㄇㄧ2"
+ ],
+ "𦄑": [
+ "ㄙㄨㄟ4"
+ ],
+ "𦄓": [
+ "ㄉㄡ1"
+ ],
+ "𦄔": [
+ "ㄉㄧㄝ2"
+ ],
+ "𦄜": [
+ "ㄍㄨㄥ1"
+ ],
+ "𦄯": [
+ "ㄓㄨㄢ3"
+ ],
+ "𦄰": [
+ "ㄍㄨㄛ2"
+ ],
+ "𦄼": [
+ "ㄒㄩ1"
+ ],
+ "𦄽": [
+ "ㄑㄩ2"
+ ],
+ "𦅀": [
+ "ㄒㄩㄣ2"
+ ],
+ "𦅃": [
+ "ㄐㄧㄠ1",
+ "ㄑㄧㄠ1"
+ ],
+ "𦅄": [
+ "ㄓㄜ2"
+ ],
+ "𦅆": [
+ "ㄉㄧㄢ4"
+ ],
+ "𦅇": [
+ "ㄙㄤ1"
+ ],
+ "𦅈": [
+ "ㄅㄥ1"
+ ],
+ "𦅊": [
+ "ㄙㄨㄛ3"
+ ],
+ "𦅋": [
+ "ㄑㄧㄢ3"
+ ],
+ "𦅏": [
+ "ㄒㄩ1"
+ ],
+ "𦅑": [
+ "ㄒㄩㄣ2"
+ ],
+ "𦅔": [
+ "ㄇㄛ4"
+ ],
+ "𦅵": [
+ "ㄙㄨㄟ4"
+ ],
+ "𦅶": [
+ "ㄌㄚ4",
+ "ㄌㄧㄝ4"
+ ],
+ "𦅷": [
+ "ㄓㄨ3",
+ "ㄓㄨ4"
+ ],
+ "𦅸": [
+ "ㄓㄡ4"
+ ],
+ "𦅺": [
+ "ㄌㄧ4"
+ ],
+ "𦅼": [
+ "ㄉㄢ1"
+ ],
+ "𦅽": [
+ "ㄐㄩ2"
+ ],
+ "𦅿": [
+ "ㄩㄣ4"
+ ],
+ "𦆀": [
+ "ㄔㄢ3"
+ ],
+ "𦆁": [
+ "ㄌㄨㄛ2"
+ ],
+ "𦆄": [
+ "ㄙㄜ4"
+ ],
+ "𦆆": [
+ "ㄌㄧㄢ2"
+ ],
+ "𦆈": [
+ "ㄗㄨㄢ3",
+ "ㄗㄨㄟ2"
+ ],
+ "𦆋": [
+ "ㄌㄞ4"
+ ],
+ "𦆌": [
+ "ㄕㄨㄤ3"
+ ],
+ "𦆍": [
+ "ㄑㄧㄝ4"
+ ],
+ "𦆘": [
+ "ㄉㄡ1"
+ ],
+ "𦆞": [
+ "ㄨ4"
+ ],
+ "𦆟": [
+ "ㄇㄥ2"
+ ],
+ "𦆡": [
+ "ㄐㄧ4"
+ ],
+ "𦆤": [
+ "ㄔ1"
+ ],
+ "𦆦": [
+ "ㄋㄧ3"
+ ],
+ "𦆸": [
+ "ㄧㄠ2"
+ ],
+ "𦆻": [
+ "ㄌㄚ4"
+ ],
+ "𦆾": [
+ "ㄌㄩ4"
+ ],
+ "𦇀": [
+ "ㄙㄨㄟ4"
+ ],
+ "𦇁": [
+ "ㄈㄨ1"
+ ],
+ "𦇄": [
+ "ㄌㄟ3"
+ ],
+ "𦇅": [
+ "ㄨㄟ3"
+ ],
+ "𦇎": [
+ "ㄘㄨㄥ1"
+ ],
+ "𦇔": [
+ "ㄌㄧ4"
+ ],
+ "𦇖": [
+ "ㄆㄧㄣ2"
+ ],
+ "𦇘": [
+ "ㄐㄩㄣ1"
+ ],
+ "𦇙": [
+ "ㄐㄩ3"
+ ],
+ "𦇛": [
+ "ㄌㄚ4"
+ ],
+ "𦇧": [
+ "ㄐㄧ4"
+ ],
+ "𦇪": [
+ "ㄇㄧㄝ4"
+ ],
+ "𦇬": [
+ "ㄧㄠ4"
+ ],
+ "𦇭": [
+ "ㄅㄧㄢ1"
+ ],
+ "𦇱": [
+ "ㄘㄨㄥ2"
+ ],
+ "𦇲": [
+ "ㄙ1",
+ "ㄔ1"
+ ],
+ "𦇵": [
+ "ㄙ1"
+ ],
+ "𦇸": [
+ "ㄏㄜ2"
+ ],
+ "𦈃": [
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+ "ㄇㄡ3"
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+ "ㄐㄩ4"
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+ "ㄈㄨ2"
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+ "ㄍㄨ1"
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+ "ㄅㄛ2"
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+ "ㄌㄨ4"
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+ "ㄇㄡ3"
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+ "ㄩㄝ4"
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+ ],
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+ "ㄌㄡ2"
+ ],
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+ "ㄙㄨ4"
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+ "ㄙㄨ4"
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+ ],
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+ "ㄌㄨ4"
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+ "ㄧㄢ2"
+ ],
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+ "ㄌㄨ4"
+ ],
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+ "ㄊㄧ2"
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+ "ㄧ4"
+ ],
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+ "ㄊㄢ3"
+ ],
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+ "ㄨ2"
+ ],
+ "𦌰": [
+ "ㄐㄧ1"
+ ],
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+ "ㄉㄨ2"
+ ],
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+ "ㄎㄨㄣ1"
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+ "ㄐㄩㄣ1"
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+ "𦌿": [
+ "ㄕ1"
+ ],
+ "𦍀": [
+ "ㄋㄢ4"
+ ],
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+ "ㄆㄛ4"
+ ],
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+ "ㄕㄨ1"
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+ "ㄑㄩㄢ4"
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+ "𦍌": [
+ "ㄖㄣ4"
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+ "ㄈㄣ2"
+ ],
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+ "ㄊㄚ4"
+ ],
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+ "ㄊㄨㄣ2"
+ ],
+ "𦍕": [
+ "ㄧㄤ2"
+ ],
+ "𦍦": [
+ "ㄉㄨㄛ1"
+ ],
+ "𦍧": [
+ "ㄘ1"
+ ],
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+ "ㄍㄨ3"
+ ],
+ "𦍪": [
+ "ㄈㄣ2"
+ ],
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+ "ㄖㄡ2"
+ ],
+ "𦍱": [
+ "ㄍㄠ1"
+ ],
+ "𦍲": [
+ "ㄒㄧㄤ2",
+ "ㄧㄤ4"
+ ],
+ "𦍴": [
+ "ㄒㄧㄤ2"
+ ],
+ "𦍵": [
+ "ㄏㄡ3"
+ ],
+ "𦍷": [
+ "ㄊㄠ1"
+ ],
+ "𦍸": [
+ "ㄕㄢ4"
+ ],
+ "𦍹": [
+ "ㄧㄤ2"
+ ],
+ "𦍺": [
+ "ㄗ4"
+ ],
+ "𦍼": [
+ "ㄩㄢ2"
+ ],
+ "𦎄": [
+ "ㄙㄨ2"
+ ],
+ "𦎇": [
+ "ㄔㄨㄢ4"
+ ],
+ "𦎈": [
+ "ㄒㄧㄤ2",
+ "ㄒㄧㄝ4"
+ ],
+ "𦎊": [
+ "ㄅㄢ1"
+ ],
+ "𦎌": [
+ "ㄇㄢ3"
+ ],
+ "𦎎": [
+ "ㄈㄨ3"
+ ],
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+ "ㄌㄚ3"
+ ],
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+ "ㄌㄧ3"
+ ],
+ "𦎒": [
+ "ㄐㄧㄝ2"
+ ],
+ "𦎓": [
+ "ㄧㄡ1"
+ ],
+ "𦎘": [
+ "ㄩ4"
+ ],
+ "𦎚": [
+ "ㄔ4"
+ ],
+ "𦎜": [
+ "ㄔㄨㄢ4"
+ ],
+ "𦎝": [
+ "ㄧ4"
+ ],
+ "𦎞": [
+ "ㄕㄢ1"
+ ],
+ "𦎢": [
+ "ㄐㄧ2"
+ ],
+ "𦎣": [
+ "ㄧㄢ1"
+ ],
+ "𦎦": [
+ "ㄨ4"
+ ],
+ "𦎧": [
+ "ㄔㄨㄣ2",
+ "ㄉㄨㄣ1",
+ "ㄉㄨㄣ4"
+ ],
+ "𦎨": [
+ "ㄇㄤ2"
+ ],
+ "𦎭": [
+ "ㄈㄨ2"
+ ],
+ "𦎮": [
+ "ㄐㄧㄚ1"
+ ],
+ "𦎯": [
+ "ㄍㄡ4"
+ ],
+ "𦎰": [
+ "ㄍㄨ2"
+ ],
+ "𦎱": [
+ "ㄐㄧㄚ2"
+ ],
+ "𦎵": [
+ "ㄒㄧㄢ2"
+ ],
+ "𦎷": [
+ "ㄐㄧㄣ4"
+ ],
+ "𦎸": [
+ "ㄗ4"
+ ],
+ "𦎹": [
+ "ㄌㄡ2"
+ ],
+ "𦎼": [
+ "ㄍㄡ4"
+ ],
+ "𦏀": [
+ "ㄖㄣ2"
+ ],
+ "𦏂": [
+ "ㄕㄢ1"
+ ],
+ "𦏅": [
+ "ㄐㄩㄝ2"
+ ],
+ "𦏆": [
+ "ㄊㄨㄥ2"
+ ],
+ "𦏇": [
+ "ㄧㄡ3"
+ ],
+ "𦏔": [
+ "ㄐㄧㄢ1"
+ ],
+ "𦏕": [
+ "ㄉㄨ2"
+ ],
+ "𦏗": [
+ "ㄏㄨ2"
+ ],
+ "𦏛": [
+ "ㄙㄠ1"
+ ],
+ "𦏜": [
+ "ㄩ4"
+ ],
+ "𦏢": [
+ "ㄇㄞ4"
+ ],
+ "𦏤": [
+ "ㄓ1"
+ ],
+ "𦏥": [
+ "ㄧㄢ1"
+ ],
+ "𦏦": [
+ "ㄍㄠ1"
+ ],
+ "𦏨": [
+ "ㄏㄨㄞ4"
+ ],
+ "𦏮": [
+ "ㄑㄩㄢ2"
+ ],
+ "𦏱": [
+ "ㄧㄤ3",
+ "ㄔㄞ4"
+ ],
+ "𦏳": [
+ "ㄗㄨㄟ3"
+ ],
+ "𦏷": [
+ "ㄒㄧㄠ1"
+ ],
+ "𦏸": [
+ "ㄧ4",
+ "ㄔ2"
+ ],
+ "𦏹": [
+ "ㄧㄢ3"
+ ],
+ "𦏺": [
+ "ㄏㄨㄥ2",
+ "ㄍㄨㄥ4"
+ ],
+ "𦏻": [
+ "ㄩ2",
+ "ㄩ4"
+ ],
+ "𦏿": [
+ "ㄔ4"
+ ],
+ "𦐁": [
+ "ㄔ2"
+ ],
+ "𦐄": [
+ "ㄏㄤ2"
+ ],
+ "𦐅": [
+ "ㄙㄜ4"
+ ],
+ "𦐆": [
+ "ㄆㄚ1"
+ ],
+ "𦐇": [
+ "ㄊㄚ4"
+ ],
+ "𦐈": [
+ "ㄈㄣ1"
+ ],
+ "𦐉": [
+ "ㄔ1"
+ ],
+ "𦐌": [
+ "ㄏㄨㄥ2"
+ ],
+ "𦐍": [
+ "ㄒㄩㄝ4"
+ ],
+ "𦐖": [
+ "ㄓ3"
+ ],
+ "𦐛": [
+ "ㄑㄩ2",
+ "ㄩ4"
+ ],
+ "𦐠": [
+ "ㄒㄧ1"
+ ],
+ "𦐡": [
+ "ㄈㄨ2"
+ ],
+ "𦐣": [
+ "ㄕㄨ1"
+ ],
+ "𦐤": [
+ "ㄏㄞ4"
+ ],
+ "𦐦": [
+ "ㄆㄛ4"
+ ],
+ "𦐨": [
+ "ㄘ3"
+ ],
+ "𦐰": [
+ "ㄔㄞ4"
+ ],
+ "𦐳": [
+ "ㄏㄨㄥ1"
+ ],
+ "𦐸": [
+ "ㄆㄠ3"
+ ],
+ "𦐹": [
+ "ㄕㄣ1"
+ ],
+ "𦐺": [
+ "ㄒㄧㄠ1"
+ ],
+ "𦐽": [
+ "ㄒㄩㄢ1",
+ "ㄌㄧㄥ2"
+ ],
+ "𦐾": [
+ "ㄘ3"
+ ],
+ "𦐿": [
+ "ㄊㄧㄥ2"
+ ],
+ "𦑀": [
+ "ㄆㄛ4"
+ ],
+ "𦑇": [
+ "ㄊㄚ4"
+ ],
+ "𦑈": [
+ "ㄔㄚ1"
+ ],
+ "𦑋": [
+ "ㄗㄨ2"
+ ],
+ "𦑌": [
+ "ㄏㄨㄛ4"
+ ],
+ "𦑍": [
+ "ㄒㄩ4"
+ ],
+ "𦑎": [
+ "ㄧㄢ4"
+ ],
+ "𦑏": [
+ "ㄔㄞ4"
+ ],
+ "𦑑": [
+ "ㄊㄨㄛ2"
+ ],
+ "𦑘": [
+ "ㄒㄧㄢ2"
+ ],
+ "𦑙": [
+ "ㄒㄩㄢ1"
+ ],
+ "𦑚": [
+ "ㄏㄡ2"
+ ],
+ "𦑛": [
+ "ㄏㄨㄢ3"
+ ],
+ "𦑜": [
+ "ㄍㄜ2"
+ ],
+ "𦑝": [
+ "ㄔㄨㄥ3"
+ ],
+ "𦑞": [
+ "ㄅㄧ4"
+ ],
+ "𦑟": [
+ "ㄏㄨㄥ1"
+ ],
+ "𦑠": [
+ "ㄏㄨㄥ1"
+ ],
+ "𦑡": [
+ "ㄔ2",
+ "ㄔ1"
+ ],
+ "𦑣": [
+ "ㄔㄚ2"
+ ],
+ "𦑯": [
+ "ㄓㄚ3"
+ ],
+ "𦑱": [
+ "ㄓㄞ2",
+ "ㄏㄨㄛ4"
+ ],
+ "𦑲": [
+ "ㄊㄚ4"
+ ],
+ "𦑵": [
+ "ㄆㄛ4"
+ ],
+ "𦑶": [
+ "ㄊㄚ4"
+ ],
+ "𦑸": [
+ "ㄧㄡ2"
+ ],
+ "𦑹": [
+ "ㄈㄨ2"
+ ],
+ "𦑺": [
+ "ㄘ1"
+ ],
+ "𦑻": [
+ "ㄉㄚ2"
+ ],
+ "𦑼": [
+ "ㄊㄚ3"
+ ],
+ "𦑾": [
+ "ㄌㄧㄡ2"
+ ],
+ "𦒁": [
+ "ㄘ1"
+ ],
+ "𦒃": [
+ "ㄏㄨㄥ1"
+ ],
+ "𦒅": [
+ "ㄏㄢ4"
+ ],
+ "𦒆": [
+ "ㄌㄚ1"
+ ],
+ "𦒈": [
+ "ㄕ1"
+ ],
+ "𦒍": [
+ "ㄊㄨㄥ2"
+ ],
+ "𦒎": [
+ "ㄏㄨㄟ4"
+ ],
+ "𦒏": [
+ "ㄏㄜ2"
+ ],
+ "𦒐": [
+ "ㄆㄧㄝ1"
+ ],
+ "𦒑": [
+ "ㄩ4"
+ ],
+ "𦒜": [
+ "ㄒㄧㄢ1"
+ ],
+ "𦒝": [
+ "ㄏㄢ3"
+ ],
+ "𦒟": [
+ "ㄆㄛ4"
+ ],
+ "𦒦": [
+ "ㄌㄚ4"
+ ],
+ "𦒧": [
+ "ㄏㄨㄛ4"
+ ],
+ "𦒰": [
+ "ㄊㄞ4"
+ ],
+ "𦒴": [
+ "ㄌㄠ3"
+ ],
+ "𦒶": [
+ "ㄕㄨ4"
+ ],
+ "𦒺": [
+ "ㄉㄠ4"
+ ],
+ "𦒻": [
+ "ㄉㄧㄢ3"
+ ],
+ "𦓈": [
+ "ㄒㄩㄥ4"
+ ],
+ "𦓋": [
+ "ㄨㄤ4"
+ ],
+ "𦓍": [
+ "ㄔㄜ3"
+ ],
+ "𦓎": [
+ "ㄋㄞ4"
+ ],
+ "𦓐": [
+ "ㄐㄩㄝ2"
+ ],
+ "𦓓": [
+ "ㄦ2",
+ "ㄌㄧㄝ4"
+ ],
+ "𦓔": [
+ "ㄦ2",
+ "ㄒㄩ1"
+ ],
+ "𦓕": [
+ "ㄋㄩ2"
+ ],
+ "𦓖": [
+ "ㄋㄩ4"
+ ],
+ "𦓝": [
+ "ㄓㄨㄢ3"
+ ],
+ "𦓢": [
+ "ㄋㄨㄛ4"
+ ],
+ "𦓤": [
+ "ㄌㄧㄝ4"
+ ],
+ "𦓥": [
+ "ㄌㄟ3"
+ ],
+ "𦓧": [
+ "ㄅㄚ1"
+ ],
+ "𦓬": [
+ "ㄔㄥ1"
+ ],
+ "𦓯": [
+ "ㄍㄨㄟ1"
+ ],
+ "𦓰": [
+ "ㄑㄩㄢ2"
+ ],
+ "𦓱": [
+ "ㄍㄜ4"
+ ],
+ "𦓳": [
+ "ㄍㄨㄥ3"
+ ],
+ "𦓴": [
+ "ㄕㄠ4",
+ "ㄕㄠ1"
+ ],
+ "𦓹": [
+ "ㄌㄞ2"
+ ],
+ "𦓺": [
+ "ㄓㄥ1"
+ ],
+ "𦓻": [
+ "ㄧ4"
+ ],
+ "𦓼": [
+ "ㄍㄨㄣ3"
+ ],
+ "𦓽": [
+ "ㄨㄟ1"
+ ],
+ "𦓾": [
+ "ㄌㄨㄣ3",
+ "ㄎㄨㄣ3"
+ ],
+ "𦔂": [
+ "ㄕ2"
+ ],
+ "𦔃": [
+ "ㄧㄥ1"
+ ],
+ "𦔄": [
+ "ㄕㄥ3"
+ ],
+ "𦔅": [
+ "ㄊㄨ2"
+ ],
+ "𦔆": [
+ "ㄅㄧ4"
+ ],
+ "𦔈": [
+ "ㄗㄜ2"
+ ],
+ "𦔉": [
+ "ㄓㄨㄥ4"
+ ],
+ "𦔋": [
+ "ㄖㄨㄥ3"
+ ],
+ "𦔌": [
+ "ㄑㄧ2",
+ "ㄙ2"
+ ],
+ "𦔍": [
+ "ㄈㄨ4"
+ ],
+ "𦔎": [
+ "ㄘㄜ4"
+ ],
+ "𦔓": [
+ "ㄌㄧ2"
+ ],
+ "𦔔": [
+ "ㄇㄢ2",
+ "ㄇㄢ4"
+ ],
+ "𦔖": [
+ "ㄌㄧㄢ2"
+ ],
+ "𦔗": [
+ "ㄅㄧㄠ1"
+ ],
+ "𦔛": [
+ "ㄔㄨㄤ2"
+ ],
+ "𦔜": [
+ "ㄧ4"
+ ],
+ "𦔠": [
+ "ㄆㄞ4"
+ ],
+ "𦔥": [
+ "ㄧ4",
+ "ㄕ4"
+ ],
+ "𦔦": [
+ "ㄎㄨㄞ4"
+ ],
+ "𦔩": [
+ "ㄅㄧㄠ1",
+ "ㄆㄠ1"
+ ],
+ "𦔫": [
+ "ㄔ4",
+ "ㄧ4"
+ ],
+ "𦔬": [
+ "ㄑㄩ2"
+ ],
+ "𦔭": [
+ "ㄇㄛ4"
+ ],
+ "𦔮": [
+ "ㄓㄜ2"
+ ],
+ "𦔯": [
+ "ㄕㄚ4"
+ ],
+ "𦔰": [
+ "ㄕㄚ4",
+ "ㄒㄩ1"
+ ],
+ "𦔷": [
+ "ㄧㄠ1"
+ ],
+ "𦔸": [
+ "ㄍㄨㄥ1"
+ ],
+ "𦔹": [
+ "ㄋㄞ4"
+ ],
+ "𦔼": [
+ "ㄒㄧㄝ4"
+ ],
+ "𦔿": [
+ "ㄊㄧㄢ4"
+ ],
+ "𦕆": [
+ "ㄧㄝ2"
+ ],
+ "𦕉": [
+ "ㄕㄚ1"
+ ],
+ "𦕏": [
+ "ㄙㄠ4"
+ ],
+ "𦕒": [
+ "ㄉㄧㄢ1"
+ ],
+ "𦕓": [
+ "ㄒㄩ4"
+ ],
+ "𦕙": [
+ "ㄑㄩ2"
+ ],
+ "𦕠": [
+ "ㄏㄨㄥ1"
+ ],
+ "𦕡": [
+ "ㄕㄥ4"
+ ],
+ "𦕢": [
+ "ㄊㄧㄥ4"
+ ],
+ "𦕰": [
+ "ㄉㄨㄛ5"
+ ],
+ "𦕵": [
+ "ㄌㄧㄠ2"
+ ],
+ "𦕷": [
+ "ㄏㄨㄥ4"
+ ],
+ "𦕸": [
+ "ㄌㄧ3"
+ ],
+ "𦕺": [
+ "ㄒㄧㄤ3",
+ "ㄍㄠ1"
+ ],
+ "𦕽": [
+ "ㄕㄣ4"
+ ],
+ "𦖀": [
+ "ㄈㄨ1"
+ ],
+ "𦖈": [
+ "ㄧㄢ3"
+ ],
+ "𦖉": [
+ "ㄨㄤ3"
+ ],
+ "𦖊": [
+ "ㄑㄧ1"
+ ],
+ "𦖋": [
+ "ㄉㄨㄛ3"
+ ],
+ "𦖍": [
+ "ㄏㄨㄚ4"
+ ],
+ "𦖎": [
+ "ㄑㄧㄢ1"
+ ],
+ "𦖐": [
+ "ㄒㄧㄝ4"
+ ],
+ "𦖝": [
+ "ㄘ4"
+ ],
+ "𦖞": [
+ "ㄕㄥ1",
+ "ㄨㄣ2"
+ ],
+ "𦖢": [
+ "ㄦ4"
+ ],
+ "𦖤": [
+ "ㄒㄧㄥ1"
+ ],
+ "𦖦": [
+ "ㄊㄨㄟ4"
+ ],
+ "𦖧": [
+ "ㄧㄢ4"
+ ],
+ "𦖩": [
+ "ㄌㄧㄝ4"
+ ],
+ "𦖬": [
+ "ㄇㄧ2"
+ ],
+ "𦖸": [
+ "ㄗㄨㄥ4"
+ ],
+ "𦖺": [
+ "ㄗ1"
+ ],
+ "𦖼": [
+ "ㄏㄨ2"
+ ],
+ "𦖽": [
+ "ㄧㄥ2"
+ ],
+ "𦖾": [
+ "ㄌㄧㄢ2"
+ ],
+ "𦖿": [
+ "ㄉㄚ1"
+ ],
+ "𦗀": [
+ "ㄊㄧㄢ2"
+ ],
+ "𦗁": [
+ "ㄊㄧㄢ4"
+ ],
+ "𦗋": [
+ "ㄖㄨㄥ2"
+ ],
+ "𦗍": [
+ "ㄞ4"
+ ],
+ "𦗐": [
+ "ㄞ4"
+ ],
+ "𦗑": [
+ "ㄓㄜ2"
+ ],
+ "𦗒": [
+ "ㄍㄨㄛ1"
+ ],
+ "𦗓": [
+ "ㄌㄨ4"
+ ],
+ "𦗔": [
+ "ㄓㄠ1"
+ ],
+ "𦗕": [
+ "ㄇㄧ2"
+ ],
+ "𦗖": [
+ "ㄌㄧㄠ2"
+ ],
+ "𦗗": [
+ "ㄓㄜ2"
+ ],
+ "𦗛": [
+ "ㄑㄩ3"
+ ],
+ "𦗜": [
+ "ㄘㄨㄥ1"
+ ],
+ "𦗟": [
+ "ㄊㄧㄥ1",
+ "ㄊㄜ4"
+ ],
+ "𦗡": [
+ "ㄊㄢ2"
+ ],
+ "𦗢": [
+ "ㄓㄢ3"
+ ],
+ "𦗣": [
+ "ㄏㄨ2"
+ ],
+ "𦗥": [
+ "ㄆㄧㄝ1"
+ ],
+ "𦗧": [
+ "ㄉㄚ1"
+ ],
+ "𦗨": [
+ "ㄖㄨㄥ2"
+ ],
+ "𦗮": [
+ "ㄋㄠ3"
+ ],
+ "𦗳": [
+ "ㄋㄤ2"
+ ],
+ "𦗴": [
+ "ㄉㄤ1"
+ ],
+ "𦗵": [
+ "ㄐㄧㄠ3"
+ ],
+ "𦗻": [
+ "ㄐㄩ4"
+ ],
+ "𦗼": [
+ "ㄦ3"
+ ],
+ "𦘊": [
+ "ㄌㄧ4"
+ ],
+ "𦘌": [
+ "ㄍㄨㄛ1"
+ ],
+ "𦘍": [
+ "ㄨㄞ4",
+ "ㄨㄚ4"
+ ],
+ "𦘒": [
+ "ㄋㄧㄝ4"
+ ],
+ "𦘔": [
+ "ㄐㄧㄣ1"
+ ],
+ "𦘩": [
+ "ㄆㄧ3"
+ ],
+ "𦘪": [
+ "ㄔ4"
+ ],
+ "𦘲": [
+ "ㄆㄧ3"
+ ],
+ "𦘳": [
+ "ㄧ4"
+ ],
+ "𦘴": [
+ "ㄉㄨ1"
+ ],
+ "𦘵": [
+ "ㄨㄚ3"
+ ],
+ "𦘶": [
+ "ㄒㄩㄣ1"
+ ],
+ "𦘸": [
+ "ㄑㄧ4"
+ ],
+ "𦘹": [
+ "ㄕㄢ4",
+ "ㄩㄝ4"
+ ],
+ "𦘼": [
+ "ㄒㄩ1"
+ ],
+ "𦘿": [
+ "ㄏㄜ1"
+ ],
+ "𦙀": [
+ "ㄆㄢ4"
+ ],
+ "𦙂": [
+ "ㄆㄟ1"
+ ],
+ "𦙄": [
+ "ㄒㄩㄥ1"
+ ],
+ "𦙆": [
+ "ㄔ3"
+ ],
+ "𦙇": [
+ "ㄊㄢ1"
+ ],
+ "𦙈": [
+ "ㄗㄨㄟ4",
+ "ㄘㄨㄟ4"
+ ],
+ "𦙉": [
+ "ㄗㄨㄢ3"
+ ],
+ "𦙊": [
+ "ㄑㄧ4"
+ ],
+ "𦙋": [
+ "ㄉㄨ1"
+ ],
+ "𦙙": [
+ "ㄕㄨㄟ3"
+ ],
+ "𦙜": [
+ "ㄋㄚ3"
+ ],
+ "𦙝": [
+ "ㄒㄧ1"
+ ],
+ "𦙧": [
+ "ㄔㄠ3"
+ ],
+ "𦙨": [
+ "ㄧ4"
+ ],
+ "𦙫": [
+ "ㄓㄥ1"
+ ],
+ "𦙮": [
+ "ㄐㄩ2"
+ ],
+ "𦙯": [
+ "ㄉㄞ4"
+ ],
+ "𦙱": [
+ "ㄙㄢ1"
+ ],
+ "𦙴": [
+ "ㄓㄨ4"
+ ],
+ "𦙵": [
+ "ㄨㄢ4"
+ ],
+ "𦙶": [
+ "ㄍㄨ3"
+ ],
+ "𦙸": [
+ "ㄙㄢ1"
+ ],
+ "𦙹": [
+ "ㄅㄢ4"
+ ],
+ "𦙺": [
+ "ㄐㄧㄚ4",
+ "ㄐㄧㄚ1"
+ ],
+ "𦙻": [
+ "ㄇㄞ4"
+ ],
+ "𦚈": [
+ "ㄊㄨㄛ4",
+ "ㄉㄨ4"
+ ],
+ "𦚊": [
+ "ㄑㄧ4"
+ ],
+ "𦚏": [
+ "ㄓㄨㄤ1"
+ ],
+ "𦚐": [
+ "ㄊㄨㄛ2"
+ ],
+ "𦚓": [
+ "ㄆㄧㄥ2"
+ ],
+ "𦚝": [
+ "ㄆㄥ1"
+ ],
+ "𦚞": [
+ "ㄎㄨㄤ1",
+ "ㄎㄨㄤ4"
+ ],
+ "𦚟": [
+ "ㄧ2"
+ ],
+ "𦚡": [
+ "ㄒㄧㄝ4",
+ "ㄇㄞ4"
+ ],
+ "𦚢": [
+ "ㄩㄝ1"
+ ],
+ "𦚣": [
+ "ㄏㄣ2"
+ ],
+ "𦚥": [
+ "ㄏㄡ2",
+ "ㄧㄡ2"
+ ],
+ "𦚦": [
+ "ㄓㄥ1"
+ ],
+ "𦚧": [
+ "ㄔㄨㄣ3"
+ ],
+ "𦚨": [
+ "ㄕ4"
+ ],
+ "𦚩": [
+ "ㄨㄚ3"
+ ],
+ "𦚫": [
+ "ㄒㄧㄝ2"
+ ],
+ "𦚸": [
+ "ㄍㄥ4"
+ ],
+ "𦛅": [
+ "ㄜ4"
+ ],
+ "𦛏": [
+ "ㄎㄨ2"
+ ],
+ "𦛐": [
+ "ㄋㄚ4"
+ ],
+ "𦛓": [
+ "ㄐㄩ1"
+ ],
+ "𦛔": [
+ "ㄒㄩㄢ4"
+ ],
+ "𦛕": [
+ "ㄑㄩ1"
+ ],
+ "𦛖": [
+ "ㄔㄜ4"
+ ],
+ "𦛗": [
+ "ㄌㄩ3"
+ ],
+ "𦛘": [
+ "ㄏㄜ2"
+ ],
+ "𦛙": [
+ "ㄕㄥ4"
+ ],
+ "𦛚": [
+ "ㄋㄢ4"
+ ],
+ "𦛜": [
+ "ㄏㄜ2",
+ "ㄏㄢ2"
+ ],
+ "𦛝": [
+ "ㄔㄚ2"
+ ],
+ "𦛞": [
+ "ㄧㄢ1"
+ ],
+ "𦛟": [
+ "ㄍㄥ3"
+ ],
+ "𦛠": [
+ "ㄋㄧㄝ4"
+ ],
+ "𦛢": [
+ "ㄍㄨㄛ2"
+ ],
+ "𦛣": [
+ "ㄧㄢ2"
+ ],
+ "𦛤": [
+ "ㄍㄨㄢ3"
+ ],
+ "𦛧": [
+ "ㄓ4"
+ ],
+ "𦛨": [
+ "ㄌㄠ5"
+ ],
+ "𦛯": [
+ "ㄉㄨ3"
+ ],
+ "𦛰": [
+ "ㄑㄧ4"
+ ],
+ "𦛱": [
+ "ㄑㄩ1"
+ ],
+ "𦛲": [
+ "ㄐㄩㄝ2"
+ ],
+ "𦜁": [
+ "ㄈㄥ1"
+ ],
+ "𦜃": [
+ "ㄒㄩ4"
+ ],
+ "𦜄": [
+ "ㄊㄨㄟ4"
+ ],
+ "𦜆": [
+ "ㄏㄢ2"
+ ],
+ "𦜇": [
+ "ㄎㄨ1"
+ ],
+ "𦜊": [
+ "ㄕㄣ1"
+ ],
+ "𦜋": [
+ "ㄓ4"
+ ],
+ "𦜍": [
+ "ㄆㄤ4"
+ ],
+ "𦜎": [
+ "ㄓㄥ1"
+ ],
+ "𦜏": [
+ "ㄌㄧ4"
+ ],
+ "𦜐": [
+ "ㄨㄢ3"
+ ],
+ "𦜒": [
+ "ㄈㄢ3"
+ ],
+ "𦜓": [
+ "ㄒㄧㄣ4"
+ ],
+ "𦜖": [
+ "ㄧㄚ4"
+ ],
+ "𦜛": [
+ "ㄐㄩ1"
+ ],
+ "𦜜": [
+ "ㄕㄣ4"
+ ],
+ "𦜭": [
+ "ㄇㄤ3"
+ ],
+ "𦜯": [
+ "ㄊㄨㄣ3"
+ ],
+ "𦜰": [
+ "ㄓㄨㄛ2"
+ ],
+ "𦜱": [
+ "ㄒㄧ1"
+ ],
+ "𦜲": [
+ "ㄧㄣ4"
+ ],
+ "𦜳": [
+ "ㄐㄧㄥ1"
+ ],
+ "𦜴": [
+ "ㄊㄨㄣ2"
+ ],
+ "𦜷": [
+ "ㄍㄥ4"
+ ],
+ "𦜸": [
+ "ㄐㄧ4"
+ ],
+ "𦝏": [
+ "ㄓㄨㄢ3",
+ "ㄕㄨㄢ4"
+ ],
+ "𦝒": [
+ "ㄊㄧㄝ1"
+ ],
+ "𦝔": [
+ "ㄓ1"
+ ],
+ "𦝖": [
+ "ㄐㄧ2"
+ ],
+ "𦝚": [
+ "ㄧㄥ2"
+ ],
+ "𦝛": [
+ "ㄨㄟ4"
+ ],
+ "𦝝": [
+ "ㄏㄨㄢ4"
+ ],
+ "𦝞": [
+ "ㄊㄧㄥ2"
+ ],
+ "𦝟": [
+ "ㄔㄢ2"
+ ],
+ "𦝢": [
+ "ㄎㄨㄟ2"
+ ],
+ "𦝣": [
+ "ㄑㄧㄚ4",
+ "ㄎㄜ1"
+ ],
+ "𦝤": [
+ "ㄅㄢ4"
+ ],
+ "𦝥": [
+ "ㄔㄚ1",
+ "ㄓㄚ2"
+ ],
+ "𦝦": [
+ "ㄊㄨㄛ3"
+ ],
+ "𦝧": [
+ "ㄋㄢ3"
+ ],
+ "𦝨": [
+ "ㄐㄧㄝ1"
+ ],
+ "𦝪": [
+ "ㄧㄢ1"
+ ],
+ "𦝬": [
+ "ㄊㄨ2"
+ ],
+ "𦝮": [
+ "ㄨㄣ3"
+ ],
+ "𦝰": [
+ "ㄘㄨㄥ1"
+ ],
+ "𦝳": [
+ "ㄒㄩ4"
+ ],
+ "𦝴": [
+ "ㄧㄣ4"
+ ],
+ "𦝷": [
+ "ㄅㄥ4"
+ ],
+ "𦝼": [
+ "ㄌㄩ2",
+ "ㄌㄡ2"
+ ],
+ "𦞁": [
+ "ㄗㄞ1"
+ ],
+ "𦞂": [
+ "ㄉㄚ1",
+ "ㄉㄚ5"
+ ],
+ "𦞆": [
+ "ㄋㄧㄝ4"
+ ],
+ "𦞇": [
+ "ㄐㄩ3"
+ ],
+ "𦞈": [
+ "ㄏㄡ2"
+ ],
+ "𦞌": [
+ "ㄍㄥ4"
+ ],
+ "𦞕": [
+ "ㄏㄡ2"
+ ],
+ "𦞖": [
+ "ㄎㄢ1"
+ ],
+ "𦞗": [
+ "ㄍㄨㄥ1"
+ ],
+ "𦞙": [
+ "ㄏㄨㄟ3"
+ ],
+ "𦞚": [
+ "ㄒㄧㄝ4"
+ ],
+ "𦞝": [
+ "ㄒㄧ4"
+ ],
+ "𦞞": [
+ "ㄏㄢ2"
+ ],
+ "𦞟": [
+ "ㄇㄧ2"
+ ],
+ "𦞡": [
+ "ㄨㄥ3"
+ ],
+ "𦞢": [
+ "ㄏㄨㄣ4"
+ ],
+ "𦞣": [
+ "ㄙㄠ1"
+ ],
+ "𦞤": [
+ "ㄒㄧㄣ4",
+ "ㄗ3"
+ ],
+ "𦞥": [
+ "ㄓㄜ2"
+ ],
+ "𦞦": [
+ "ㄏㄨㄛ4",
+ "ㄏㄜ4"
+ ],
+ "𦞨": [
+ "ㄍㄨㄥ1"
+ ],
+ "𦞫": [
+ "ㄙㄞ4"
+ ],
+ "𦞬": [
+ "ㄐㄧㄣ1",
+ "ㄐㄧㄢ4"
+ ],
+ "𦞭": [
+ "ㄨㄚ1"
+ ],
+ "𦞱": [
+ "ㄉㄨㄟ3"
+ ],
+ "𦞲": [
+ "ㄔ1"
+ ],
+ "𦞽": [
+ "ㄒㄧ1",
+ "ㄨㄟ4",
+ "ㄐㄧ2"
+ ],
+ "𦟂": [
+ "ㄇㄧ2"
+ ],
+ "𦟃": [
+ "ㄗㄤ1"
+ ],
+ "𦟄": [
+ "ㄙㄤ3",
+ "ㄙㄠ4"
+ ],
+ "𦟓": [
+ "ㄊㄨㄣ2"
+ ],
+ "𦟔": [
+ "ㄓ4"
+ ],
+ "𦟕": [
+ "ㄨㄣ3"
+ ],
+ "𦟘": [
+ "ㄧㄣ2"
+ ],
+ "𦟙": [
+ "ㄊㄨㄣ3"
+ ],
+ "𦟛": [
+ "ㄔㄨㄥ1"
+ ],
+ "𦟜": [
+ "ㄗㄜ2"
+ ],
+ "𦟞": [
+ "ㄒㄧㄠ1"
+ ],
+ "𦟟": [
+ "ㄇㄛ2"
+ ],
+ "𦟠": [
+ "ㄘㄨ4"
+ ],
+ "𦟣": [
+ "ㄅㄧㄢ3"
+ ],
+ "𦟤": [
+ "ㄒㄧㄡ1"
+ ],
+ "𦟧": [
+ "ㄧ2"
+ ],
+ "𦟮": [
+ "ㄏㄨㄤ3"
+ ],
+ "𦟰": [
+ "ㄓㄚ1"
+ ],
+ "𦟱": [
+ "ㄙㄨㄛ1"
+ ],
+ "𦟲": [
+ "ㄏㄨㄣ2"
+ ],
+ "𦟳": [
+ "ㄐㄩ4"
+ ],
+ "𦠁": [
+ "ㄘㄨ4"
+ ],
+ "𦠄": [
+ "ㄐㄧ1"
+ ],
+ "𦠅": [
+ "ㄒㄩㄣ2"
+ ],
+ "𦠆": [
+ "ㄙㄨㄣ3",
+ "ㄓㄨㄢ4"
+ ],
+ "𦠇": [
+ "ㄘㄥ2"
+ ],
+ "𦠉": [
+ "ㄧ4"
+ ],
+ "𦠎": [
+ "ㄅㄧㄠ1"
+ ],
+ "𦠒": [
+ "ㄐㄩㄝ2"
+ ],
+ "𦠓": [
+ "ㄌㄧ4"
+ ],
+ "𦠖": [
+ "ㄆㄠ4"
+ ],
+ "𦠛": [
+ "ㄗㄚ1"
+ ],
+ "𦠜": [
+ "ㄧㄝ4"
+ ],
+ "𦠞": [
+ "ㄅㄧ4"
+ ],
+ "𦠟": [
+ "ㄓㄜ4"
+ ],
+ "𦠠": [
+ "ㄓㄜ4"
+ ],
+ "𦠢": [
+ "ㄐㄧㄡ4"
+ ],
+ "𦠣": [
+ "ㄓㄜ2"
+ ],
+ "𦠦": [
+ "ㄕㄨ4"
+ ],
+ "𦠪": [
+ "ㄒㄧ1"
+ ],
+ "𦠷": [
+ "ㄒㄩ3"
+ ],
+ "𦠸": [
+ "ㄋㄞ3"
+ ],
+ "𦠹": [
+ "ㄒㄧㄢ2"
+ ],
+ "𦠺": [
+ "ㄍㄨㄣ3"
+ ],
+ "𦠻": [
+ "ㄨㄟ4"
+ ],
+ "𦠾": [
+ "ㄐㄧ2"
+ ],
+ "𦠿": [
+ "ㄙㄚ4"
+ ],
+ "𦡂": [
+ "ㄉㄨㄥ3"
+ ],
+ "𦡃": [
+ "ㄋㄨㄛ2",
+ "ㄋㄧㄝ2"
+ ],
+ "𦡄": [
+ "ㄉㄨ4"
+ ],
+ "𦡅": [
+ "ㄓㄥ1"
+ ],
+ "𦡆": [
+ "ㄎㄨ1"
+ ],
+ "𦡉": [
+ "ㄇㄧㄥ2"
+ ],
+ "𦡕": [
+ "ㄅㄠ2"
+ ],
+ "𦡖": [
+ "ㄏㄨㄟ4"
+ ],
+ "𦡙": [
+ "ㄗㄨㄥ1"
+ ],
+ "𦡨": [
+ "ㄙㄢ4"
+ ],
+ "𦡪": [
+ "ㄊㄥ1"
+ ],
+ "𦡫": [
+ "ㄧ2"
+ ],
+ "𦡭": [
+ "ㄩ4"
+ ],
+ "𦡱": [
+ "ㄧㄠ4",
+ "ㄕㄠ4"
+ ],
+ "𦡲": [
+ "ㄋㄧㄥ3"
+ ],
+ "𦡴": [
+ "ㄔㄡ2",
+ "ㄓㄡ3"
+ ],
+ "𦡵": [
+ "ㄏㄨㄣ4"
+ ],
+ "𦡷": [
+ "ㄉㄨㄟ4"
+ ],
+ "𦡹": [
+ "ㄑㄧ4"
+ ],
+ "𦡺": [
+ "ㄧㄥ3"
+ ],
+ "𦡻": [
+ "ㄅㄧㄥ4"
+ ],
+ "𦡼": [
+ "ㄋㄧㄥ2"
+ ],
+ "𦡽": [
+ "ㄏㄨㄤ2"
+ ],
+ "𦢆": [
+ "ㄧㄥ3"
+ ],
+ "𦢊": [
+ "ㄅㄠ2",
+ "ㄅㄛ2"
+ ],
+ "𦢎": [
+ "ㄍㄨㄤ4"
+ ],
+ "𦢏": [
+ "ㄌㄟ3"
+ ],
+ "𦢐": [
+ "ㄗㄨㄣ3"
+ ],
+ "𦢙": [
+ "ㄔㄢ3",
+ "ㄑㄧㄢ1",
+ "ㄒㄧㄢ1"
+ ],
+ "𦢣": [
+ "ㄐㄧㄢ3"
+ ],
+ "𦢧": [
+ "ㄇㄥ2"
+ ],
+ "𦢩": [
+ "ㄒㄧㄠ4",
+ "ㄙㄡ1"
+ ],
+ "𦢯": [
+ "ㄒㄧㄣ4",
+ "ㄒㄧㄥ4"
+ ],
+ "𦢱": [
+ "ㄌㄧ2"
+ ],
+ "𦢺": [
+ "ㄑㄧㄠ3"
+ ],
+ "𦢿": [
+ "ㄨㄟ3",
+ "ㄐㄩㄢ3"
+ ],
+ "𦣀": [
+ "ㄋㄚ4",
+ "ㄋㄧㄝ4",
+ "ㄓㄜ2"
+ ],
+ "𦣂": [
+ "ㄆㄤ1"
+ ],
+ "𦣄": [
+ "ㄌㄟ2"
+ ],
+ "𦣇": [
+ "ㄌㄨㄛ2"
+ ],
+ "𦣋": [
+ "ㄌㄨㄢ2"
+ ],
+ "𦣍": [
+ "ㄍㄥ1"
+ ],
+ "𦣏": [
+ "ㄌㄨㄢ2"
+ ],
+ "𦣒": [
+ "ㄑㄩ2"
+ ],
+ "𦣖": [
+ "ㄌㄨㄛ2"
+ ],
+ "𦣘": [
+ "ㄋㄤ2"
+ ],
+ "𦣛": [
+ "ㄌㄨㄛ2"
+ ],
+ "𦣜": [
+ "ㄩㄝ4"
+ ],
+ "𦣢": [
+ "ㄕㄨㄟ4"
+ ],
+ "𦣥": [
+ "ㄇㄧ4"
+ ],
+ "𦣦": [
+ "ㄨㄤ2"
+ ],
+ "𦣧": [
+ "ㄘㄜ4"
+ ],
+ "𦣨": [
+ "ㄐㄧㄢ1"
+ ],
+ "𦣩": [
+ "ㄨㄤ3"
+ ],
+ "𦣯": [
+ "ㄐㄧㄚ1"
+ ],
+ "𦣴": [
+ "ㄏㄨㄢ2"
+ ],
+ "𦣸": [
+ "ㄌㄧㄢ4"
+ ],
+ "𦣹": [
+ "ㄗ4"
+ ],
+ "𦣺": [
+ "ㄅㄞ2"
+ ],
+ "𦣻": [
+ "ㄕㄡ3",
+ "ㄅㄞ3"
+ ],
+ "𦣾": [
+ "ㄨㄢ3"
+ ],
+ "𦤂": [
+ "ㄕㄨ1"
+ ],
+ "𦤇": [
+ "ㄍㄨㄟ1"
+ ],
+ "𦤈": [
+ "ㄒㄧ1"
+ ],
+ "𦤊": [
+ "ㄖㄨ2"
+ ],
+ "𦤋": [
+ "ㄧㄠ4"
+ ],
+ "𦤎": [
+ "ㄍㄠ1"
+ ],
+ "𦤕": [
+ "ㄩㄝ4"
+ ],
+ "𦤘": [
+ "ㄩㄥ1"
+ ],
+ "𦤙": [
+ "ㄨㄚ4"
+ ],
+ "𦤚": [
+ "ㄅㄛ2"
+ ],
+ "𦤟": [
+ "ㄒㄧㄣ4"
+ ],
+ "𦤢": [
+ "ㄆㄧ4"
+ ],
+ "𦤣": [
+ "ㄅㄛ2"
+ ],
+ "𦤦": [
+ "ㄏㄞ4",
+ "ㄏㄜ4",
+ "ㄞ4"
+ ],
+ "𦤧": [
+ "ㄓㄞ4"
+ ],
+ "𦤨": [
+ "ㄨㄛ4"
+ ],
+ "𦤪": [
+ "ㄧㄝ4"
+ ],
+ "𦤫": [
+ "ㄅㄧ4",
+ "ㄅㄧ2"
+ ],
+ "𦤬": [
+ "ㄏㄞ4"
+ ],
+ "𦤸": [
+ "ㄔ4"
+ ],
+ "𦤻": [
+ "ㄓ4"
+ ],
+ "𦤽": [
+ "ㄋㄧ2"
+ ],
+ "𦥁": [
+ "ㄨ2"
+ ],
+ "𦥂": [
+ "ㄞ3"
+ ],
+ "𦥈": [
+ "ㄞ3"
+ ],
+ "𦥉": [
+ "ㄩ3"
+ ],
+ "𦥊": [
+ "ㄔ4"
+ ],
+ "𦥍": [
+ "ㄐㄧㄥ4"
+ ],
+ "𦥎": [
+ "ㄓ4"
+ ],
+ "𦥏": [
+ "ㄓ4"
+ ],
+ "𦥐": [
+ "ㄓ4"
+ ],
+ "𦥑": [
+ "ㄐㄩ2",
+ "ㄐㄩ3",
+ "ㄆㄡ2"
+ ],
+ "𦥖": [
+ "ㄏㄢ2",
+ "ㄒㄧㄢ2"
+ ],
+ "𦥚": [
+ "ㄆㄧㄥ1"
+ ],
+ "𦥝": [
+ "ㄧㄠ3"
+ ],
+ "𦥣": [
+ "ㄧㄡ2"
+ ],
+ "𦥤": [
+ "ㄆㄧㄥ1"
+ ],
+ "𦥦": [
+ "ㄇㄛ4"
+ ],
+ "𦥬": [
+ "ㄗㄨㄛ4"
+ ],
+ "𦥭": [
+ "ㄆㄛ4"
+ ],
+ "𦥯": [
+ "ㄒㄩㄝ2"
+ ],
+ "𦥰": [
+ "ㄎㄨㄤ2"
+ ],
+ "𦥱": [
+ "ㄧ4"
+ ],
+ "𦥲": [
+ "ㄆㄛ4"
+ ],
+ "𦥻": [
+ "ㄓㄨㄟ4"
+ ],
+ "𦦃": [
+ "ㄋㄧ2"
+ ],
+ "𦦄": [
+ "ㄑㄧㄡ3"
+ ],
+ "𦦅": [
+ "ㄘㄡ4"
+ ],
+ "𦦌": [
+ "ㄧㄠ3"
+ ],
+ "𦦑": [
+ "ㄈㄣ2"
+ ],
+ "𦦕": [
+ "ㄒㄧㄚ2"
+ ],
+ "𦦗": [
+ "ㄐㄧㄤ1"
+ ],
+ "𦦘": [
+ "ㄔㄚ1"
+ ],
+ "𦦛": [
+ "ㄒㄧㄠ4"
+ ],
+ "𦦜": [
+ "ㄔㄚ1"
+ ],
+ "𦦢": [
+ "ㄔㄥ2"
+ ],
+ "𦦣": [
+ "ㄘㄨㄟ4"
+ ],
+ "𦦧": [
+ "ㄑㄩㄥ2",
+ "ㄍㄨㄥ3"
+ ],
+ "𦦩": [
+ "ㄩ4"
+ ],
+ "𦦫": [
+ "ㄩ2"
+ ],
+ "𦦯": [
+ "ㄨㄣ4"
+ ],
+ "𦦱": [
+ "ㄔㄚ1"
+ ],
+ "𦦲": [
+ "ㄩ3",
+ "ㄩ4"
+ ],
+ "𦦹": [
+ "ㄗㄨㄛ2"
+ ],
+ "𦦺": [
+ "ㄉㄠ3"
+ ],
+ "𦦽": [
+ "ㄐㄩㄢ4",
+ "ㄈㄢ4"
+ ],
+ "𦦾": [
+ "ㄉㄠ3"
+ ],
+ "𦦿": [
+ "ㄧㄥ1"
+ ],
+ "𦧁": [
+ "ㄈㄥ3"
+ ],
+ "𦧅": [
+ "ㄨㄥ4"
+ ],
+ "𦧈": [
+ "ㄐㄧㄣ4"
+ ],
+ "𦧉": [
+ "ㄑㄧ4"
+ ],
+ "𦧋": [
+ "ㄑㄧㄣ4"
+ ],
+ "𦧍": [
+ "ㄎㄨㄛ4"
+ ],
+ "𦧏": [
+ "ㄊㄢ1"
+ ],
+ "𦧐": [
+ "ㄒㄧㄢ1"
+ ],
+ "𦧒": [
+ "ㄊㄧㄢ1"
+ ],
+ "𦧔": [
+ "ㄎㄨㄛ4"
+ ],
+ "𦧖": [
+ "ㄊㄧㄢ4"
+ ],
+ "𦧘": [
+ "ㄏㄨ2"
+ ],
+ "𦧙": [
+ "ㄓㄨ1"
+ ],
+ "𦧚": [
+ "ㄓㄢ1"
+ ],
+ "𦧛": [
+ "ㄊㄚ4"
+ ],
+ "𦧝": [
+ "ㄊㄧㄢ1"
+ ],
+ "𦧞": [
+ "ㄊㄚ4"
+ ],
+ "𦧟": [
+ "ㄊㄚ4"
+ ],
+ "𦧠": [
+ "ㄏㄨㄚ2"
+ ],
+ "𦧡": [
+ "ㄧㄢ3",
+ "ㄊㄧㄢ4"
+ ],
+ "𦧢": [
+ "ㄊㄧㄝ4"
+ ],
+ "𦧤": [
+ "ㄊㄧㄝ4"
+ ],
+ "𦧥": [
+ "ㄊㄚ4"
+ ],
+ "𦧬": [
+ "ㄏㄨㄞ4"
+ ],
+ "𦧮": [
+ "ㄐㄧㄚ2"
+ ],
+ "𦧯": [
+ "ㄑㄧ4"
+ ],
+ "𦧱": [
+ "ㄊㄚ4"
+ ],
+ "𦧴": [
+ "ㄊㄢ1"
+ ],
+ "𦧵": [
+ "ㄏㄨㄚ4"
+ ],
+ "𦧸": [
+ "ㄓㄨㄢ4"
+ ],
+ "𦧹": [
+ "ㄏㄨㄚ1"
+ ],
+ "𦧼": [
+ "ㄌㄢ2"
+ ],
+ "𦨆": [
+ "ㄗㄨㄣ1"
+ ],
+ "𦨇": [
+ "ㄧ4"
+ ],
+ "𦨈": [
+ "ㄈㄨ2"
+ ],
+ "𦨉": [
+ "ㄨ4"
+ ],
+ "𦨋": [
+ "ㄈㄨ2"
+ ],
+ "𦨍": [
+ "ㄉㄧㄥ1"
+ ],
+ "𦨎": [
+ "ㄊㄚ4"
+ ],
+ "𦨖": [
+ "ㄔㄠ4"
+ ],
+ "𦨙": [
+ "ㄖ4"
+ ],
+ "𦨚": [
+ "ㄑㄩㄢ3"
+ ],
+ "𦨜": [
+ "ㄍㄜ1"
+ ],
+ "𦨡": [
+ "ㄈㄨ2"
+ ],
+ "𦨢": [
+ "ㄉㄧ4"
+ ],
+ "𦨣": [
+ "ㄉㄧㄠ1"
+ ],
+ "𦨤": [
+ "ㄩㄥ3"
+ ],
+ "𦨦": [
+ "ㄐㄧㄚ4"
+ ],
+ "𦨩": [
+ "ㄌㄨㄥ2"
+ ],
+ "𦨬": [
+ "ㄩㄥ3"
+ ],
+ "𦨭": [
+ "ㄆㄧ2"
+ ],
+ "𦨯": [
+ "ㄏㄨㄛ2"
+ ],
+ "𦨰": [
+ "ㄑㄩㄥ2"
+ ],
+ "𦨲": [
+ "ㄈㄢ2"
+ ],
+ "𦨳": [
+ "ㄨ2"
+ ],
+ "𦨴": [
+ "ㄊㄨㄥ2"
+ ],
+ "𦨵": [
+ "ㄏㄤ2"
+ ],
+ "𦨸": [
+ "ㄊㄢ1"
+ ],
+ "𦨾": [
+ "ㄏㄥ1"
+ ],
+ "𦩄": [
+ "ㄊㄧㄠ1"
+ ],
+ "𦩈": [
+ "ㄓㄡ1"
+ ],
+ "𦩋": [
+ "ㄅㄞ4"
+ ],
+ "𦩌": [
+ "ㄒㄧㄝ4"
+ ],
+ "𦩍": [
+ "ㄉㄠ1",
+ "ㄉㄧㄠ1"
+ ],
+ "𦩏": [
+ "ㄐㄧㄣ1",
+ "ㄨㄟ2"
+ ],
+ "𦩕": [
+ "ㄏㄨ1"
+ ],
+ "𦩖": [
+ "ㄅㄟ1"
+ ],
+ "𦩘": [
+ "ㄉㄧㄥ4"
+ ],
+ "𦩜": [
+ "ㄋㄨㄛ2"
+ ],
+ "𦩝": [
+ "ㄨㄟ4"
+ ],
+ "𦩞": [
+ "ㄩ2"
+ ],
+ "𦩠": [
+ "ㄒㄧㄥ1"
+ ],
+ "𦩡": [
+ "ㄈㄨ2"
+ ],
+ "𦩢": [
+ "ㄒㄧㄢ4"
+ ],
+ "𦩣": [
+ "ㄑㄧ4"
+ ],
+ "𦩤": [
+ "ㄊㄨ1"
+ ],
+ "𦩧": [
+ "ㄐㄧ2"
+ ],
+ "𦩩": [
+ "ㄧㄥ4"
+ ],
+ "𦩫": [
+ "ㄉㄥ4",
+ "ㄊㄥ2"
+ ],
+ "𦩬": [
+ "ㄨㄟ1"
+ ],
+ "𦩭": [
+ "ㄒㄧ1"
+ ],
+ "𦩯": [
+ "ㄆㄞ2"
+ ],
+ "𦩱": [
+ "ㄕㄥ2"
+ ],
+ "𦩲": [
+ "ㄧㄡ3"
+ ],
+ "𦩴": [
+ "ㄞ2"
+ ],
+ "𦩵": [
+ "ㄐㄧㄢ4"
+ ],
+ "𦩷": [
+ "ㄍㄡ1"
+ ],
+ "𦩸": [
+ "ㄖㄨㄛ4"
+ ],
+ "𦩼": [
+ "ㄍㄨㄥ4"
+ ],
+ "𦩿": [
+ "ㄕㄚ4"
+ ],
+ "𦪀": [
+ "ㄊㄤ2"
+ ],
+ "𦪇": [
+ "ㄌㄨ4"
+ ],
+ "𦪈": [
+ "ㄠ2"
+ ],
+ "𦪊": [
+ "ㄑㄧ4"
+ ],
+ "𦪋": [
+ "ㄒㄧㄡ1"
+ ],
+ "𦪍": [
+ "ㄉㄞ1"
+ ],
+ "𦪑": [
+ "ㄈㄚ2"
+ ],
+ "𦪒": [
+ "ㄨㄟ4"
+ ],
+ "𦪔": [
+ "ㄉㄨㄣ4"
+ ],
+ "𦪕": [
+ "ㄌㄧㄠ2"
+ ],
+ "𦪖": [
+ "ㄈㄢ1"
+ ],
+ "𦪗": [
+ "ㄏㄨㄤ2",
+ "ㄏㄥ2"
+ ],
+ "𦪘": [
+ "ㄐㄩㄝ2"
+ ],
+ "𦪙": [
+ "ㄊㄚ4"
+ ],
+ "𦪚": [
+ "ㄗㄨㄣ4"
+ ],
+ "𦪛": [
+ "ㄖㄠ2"
+ ],
+ "𦪜": [
+ "ㄘㄢ1"
+ ],
+ "𦪝": [
+ "ㄊㄥ2"
+ ],
+ "𦪠": [
+ "ㄏㄨㄚ4"
+ ],
+ "𦪡": [
+ "ㄒㄩ1"
+ ],
+ "𦪣": [
+ "ㄓㄢ1"
+ ],
+ "𦪧": [
+ "ㄍㄢ3"
+ ],
+ "𦪪": [
+ "ㄆㄥ2"
+ ],
+ "𦪫": [
+ "ㄘㄢ1"
+ ],
+ "𦪬": [
+ "ㄒㄧㄝ1"
+ ],
+ "𦪭": [
+ "ㄉㄚ2"
+ ],
+ "𦪱": [
+ "ㄐㄧ4"
+ ],
+ "𦪶": [
+ "ㄌㄧ3"
+ ],
+ "𦪹": [
+ "ㄆㄢ2"
+ ],
+ "𦪽": [
+ "ㄌㄨㄥ2",
+ "ㄌㄨㄥ3"
+ ],
+ "𦪾": [
+ "ㄌㄧ4"
+ ],
+ "𦪿": [
+ "ㄒㄧ2"
+ ],
+ "𦫀": [
+ "ㄊㄥ2"
+ ],
+ "𦫃": [
+ "ㄌㄧㄥ2"
+ ],
+ "𦫈": [
+ "ㄌㄧ3"
+ ],
+ "𦫉": [
+ "ㄖㄢ2"
+ ],
+ "𦫊": [
+ "ㄌㄧㄥ2"
+ ],
+ "𦫎": [
+ "ㄍㄨㄣ3"
+ ],
+ "𦫔": [
+ "ㄆㄛ1"
+ ],
+ "𦫕": [
+ "ㄇㄛ4"
+ ],
+ "𦫖": [
+ "ㄆㄞ1"
+ ],
+ "𦫙": [
+ "ㄅㄚ4"
+ ],
+ "𦫡": [
+ "ㄑㄧ2"
+ ],
+ "𦫤": [
+ "ㄧㄢ2"
+ ],
+ "𦫪": [
+ "ㄨㄚ4"
+ ],
+ "𦫫": [
+ "ㄤ3"
+ ],
+ "𦫭": [
+ "ㄇㄧㄥ4"
+ ],
+ "𦫮": [
+ "ㄇㄧㄣ3"
+ ],
+ "𦫯": [
+ "ㄒㄩㄣ4"
+ ],
+ "𦫰": [
+ "ㄇㄥ2"
+ ],
+ "𦫳": [
+ "ㄍㄨㄞ3"
+ ],
+ "𦫶": [
+ "ㄐㄧㄠ1"
+ ],
+ "𦫻": [
+ "ㄍㄞ3"
+ ],
+ "𦬁": [
+ "ㄘㄞ2"
+ ],
+ "𦬂": [
+ "ㄨ4"
+ ],
+ "𦬃": [
+ "ㄓㄜ2"
+ ],
+ "𦬄": [
+ "ㄖㄣ3"
+ ],
+ "𦬅": [
+ "ㄎㄡ1"
+ ],
+ "𦬔": [
+ "ㄓㄠ3"
+ ],
+ "𦬕": [
+ "ㄓㄨㄥ1"
+ ],
+ "𦬖": [
+ "ㄑㄧㄡ2"
+ ],
+ "𦬗": [
+ "ㄍㄨㄛ1"
+ ],
+ "𦬘": [
+ "ㄍㄨㄥ1",
+ "ㄙㄨㄥ1"
+ ],
+ "𦬙": [
+ "ㄆㄨ1"
+ ],
+ "𦬚": [
+ "ㄏㄨ4"
+ ],
+ "𦬛": [
+ "ㄇㄧㄢ3"
+ ],
+ "𦬞": [
+ "ㄊㄧㄢ1"
+ ],
+ "𦬣": [
+ "ㄨㄤ3"
+ ],
+ "𦬸": [
+ "ㄓㄨ2"
+ ],
+ "𦬹": [
+ "ㄉㄚ2",
+ "ㄉㄢ4"
+ ],
+ "𦬺": [
+ "ㄒㄩㄥ4",
+ "ㄏㄨㄤ3"
+ ],
+ "𦬻": [
+ "ㄋㄚ2"
+ ],
+ "𦬾": [
+ "ㄐㄩㄢ1"
+ ],
+ "𦭁": [
+ "ㄋㄧㄢ3"
+ ],
+ "𦭈": [
+ "ㄏㄨ4"
+ ],
+ "𦭉": [
+ "ㄕㄚ1"
+ ],
+ "𦭜": [
+ "ㄓ1"
+ ],
+ "𦭟": [
+ "ㄊㄚ1"
+ ],
+ "𦭡": [
+ "ㄙ1"
+ ],
+ "𦭥": [
+ "ㄧ4"
+ ],
+ "𦭭": [
+ "ㄑㄩㄥ2"
+ ],
+ "𦭮": [
+ "ㄓ4"
+ ],
+ "𦭯": [
+ "ㄌㄩ3",
+ "ㄌㄡ2"
+ ],
+ "𦭰": [
+ "ㄖㄨ2"
+ ],
+ "𦭲": [
+ "ㄑㄧ2"
+ ],
+ "𦭳": [
+ "ㄩ3"
+ ],
+ "𦭴": [
+ "ㄓㄡ1"
+ ],
+ "𦭵": [
+ "ㄧㄤ2"
+ ],
+ "𦭶": [
+ "ㄒㄧㄢ3"
+ ],
+ "𦭷": [
+ "ㄇㄡ2"
+ ],
+ "𦭸": [
+ "ㄔㄡ2"
+ ],
+ "𦭹": [
+ "ㄏㄨㄟ1"
+ ],
+ "𦭺": [
+ "ㄐㄧㄡ1"
+ ],
+ "𦭻": [
+ "ㄐㄧㄡ4"
+ ],
+ "𦭼": [
+ "ㄆㄧㄠ3",
+ "ㄅㄧ4"
+ ],
+ "𦮁": [
+ "ㄐㄧㄠ4"
+ ],
+ "𦮃": [
+ "ㄍㄨㄞ1",
+ "ㄎㄨㄚ1"
+ ],
+ "𦮅": [
+ "ㄇㄛ4"
+ ],
+ "𦮐": [
+ "ㄒㄧ1"
+ ],
+ "𦮑": [
+ "ㄆㄨ2"
+ ],
+ "𦮯": [
+ "ㄐㄧ4"
+ ],
+ "𦮶": [
+ "ㄨㄣ3"
+ ],
+ "𦮷": [
+ "ㄅㄟ4"
+ ],
+ "𦮸": [
+ "ㄧ3"
+ ],
+ "𦮹": [
+ "ㄈㄨ2"
+ ],
+ "𦮺": [
+ "ㄙ1"
+ ],
+ "𦮻": [
+ "ㄐㄩㄢ1"
+ ],
+ "𦮼": [
+ "ㄐㄧ4",
+ "ㄑㄧ2"
+ ],
+ "𦮾": [
+ "ㄋㄧ4"
+ ],
+ "𦯀": [
+ "ㄅㄣ4"
+ ],
+ "𦯅": [
+ "ㄒㄩ4"
+ ],
+ "𦯈": [
+ "ㄑㄧㄣ3"
+ ],
+ "𦯉": [
+ "ㄅㄛ2"
+ ],
+ "𦯌": [
+ "ㄨㄤ2"
+ ],
+ "𦯍": [
+ "ㄓㄜ4"
+ ],
+ "𦯏": [
+ "ㄨㄛ4"
+ ],
+ "𦯐": [
+ "ㄕㄠ2"
+ ],
+ "𦯑": [
+ "ㄗㄠ4"
+ ],
+ "𦯒": [
+ "ㄧㄤ3"
+ ],
+ "𦯕": [
+ "ㄙㄨㄥ4"
+ ],
+ "𦯖": [
+ "ㄋㄧㄝ4"
+ ],
+ "𦯛": [
+ "ㄅㄧ4"
+ ],
+ "𦯣": [
+ "ㄘㄨ2"
+ ],
+ "𦯤": [
+ "ㄑㄧㄤ1"
+ ],
+ "𦯪": [
+ "ㄒㄧㄠ4"
+ ],
+ "𦯫": [
+ "ㄓ1"
+ ],
+ "𦯬": [
+ "ㄕㄜ2"
+ ],
+ "𦯯": [
+ "ㄓ4"
+ ],
+ "𦯰": [
+ "ㄆㄥ1"
+ ],
+ "𦰏": [
+ "ㄉㄧㄠ4"
+ ],
+ "𦰖": [
+ "ㄨㄛ4"
+ ],
+ "𦰘": [
+ "ㄓ3"
+ ],
+ "𦰙": [
+ "ㄅㄧ4"
+ ],
+ "𦰛": [
+ "ㄈㄣ2"
+ ],
+ "𦰡": [
+ "ㄋㄚ4",
+ "ㄋㄨㄛ2"
+ ],
+ "𦰥": [
+ "ㄅㄤ1"
+ ],
+ "𦰪": [
+ "ㄑㄧㄡ2"
+ ],
+ "𦰫": [
+ "ㄋㄧ3"
+ ],
+ "𦰬": [
+ "ㄅㄛ2"
+ ],
+ "𦰭": [
+ "ㄉㄨㄣ4"
+ ],
+ "𦰯": [
+ "ㄕ3"
+ ],
+ "𦰰": [
+ "ㄒㄩ1"
+ ],
+ "𦰱": [
+ "ㄔㄤ2"
+ ],
+ "𦰲": [
+ "ㄒㄩ1"
+ ],
+ "𦰳": [
+ "ㄧㄝ2"
+ ],
+ "𦰴": [
+ "ㄇㄧ2"
+ ],
+ "𦰸": [
+ "ㄒㄧㄣ1"
+ ],
+ "𦰹": [
+ "ㄓㄨㄛ2"
+ ],
+ "𦰺": [
+ "ㄈㄨ4"
+ ],
+ "𦰽": [
+ "ㄆㄧ3"
+ ],
+ "𦰾": [
+ "ㄒㄩㄝ4"
+ ],
+ "𦱀": [
+ "ㄩ4"
+ ],
+ "𦱁": [
+ "ㄒㄧㄢ2"
+ ],
+ "𦱂": [
+ "ㄩ4"
+ ],
+ "𦱃": [
+ "ㄩ2"
+ ],
+ "𦱅": [
+ "ㄐㄩ1"
+ ],
+ "𦱆": [
+ "ㄊㄚ1"
+ ],
+ "𦱇": [
+ "ㄎㄨㄥ1"
+ ],
+ "𦱊": [
+ "ㄓㄥ1"
+ ],
+ "𦱋": [
+ "ㄇㄥ2"
+ ],
+ "𦱌": [
+ "ㄍㄤ1"
+ ],
+ "𦱒": [
+ "ㄇㄨ4"
+ ],
+ "𦱓": [
+ "ㄒㄧ3"
+ ],
+ "𦱔": [
+ "ㄅㄧ4"
+ ],
+ "𦱖": [
+ "ㄈㄨ4"
+ ],
+ "𦱜": [
+ "ㄒㄧㄠ4"
+ ],
+ "𦱠": [
+ "ㄐㄧㄡ1"
+ ],
+ "𦱣": [
+ "ㄍㄡ3"
+ ],
+ "𦱰": [
+ "ㄔ2"
+ ],
+ "𦱱": [
+ "ㄐㄧㄡ1"
+ ],
+ "𦱲": [
+ "ㄐㄧㄡ1"
+ ],
+ "𦱵": [
+ "ㄕㄚ1"
+ ],
+ "𦱷": [
+ "ㄈㄟ1"
+ ],
+ "𦲫": [
+ "ㄈㄨ2"
+ ],
+ "𦲯": [
+ "ㄨㄢ4"
+ ],
+ "𦲰": [
+ "ㄒㄩ1"
+ ],
+ "𦲱": [
+ "ㄅㄛ1"
+ ],
+ "𦳁": [
+ "ㄏㄠ4",
+ "ㄇㄠ4"
+ ],
+ "𦳃": [
+ "ㄒㄧㄝ2"
+ ],
+ "𦳄": [
+ "ㄆㄧㄢ2"
+ ],
+ "𦳅": [
+ "ㄩ3"
+ ],
+ "𦳇": [
+ "ㄊㄧㄢ2"
+ ],
+ "𦳈": [
+ "ㄆㄧ2",
+ "ㄅㄧ4"
+ ],
+ "𦳊": [
+ "ㄕ3"
+ ],
+ "𦳋": [
+ "ㄎㄨㄞ3"
+ ],
+ "𦳌": [
+ "ㄐㄧ1"
+ ],
+ "𦳏": [
+ "ㄓㄚ1"
+ ],
+ "𦳐": [
+ "ㄋㄞ4",
+ "ㄋㄚ4"
+ ],
+ "𦳑": [
+ "ㄇㄡ3"
+ ],
+ "𦳓": [
+ "ㄈㄨ2"
+ ],
+ "𦳔": [
+ "ㄉㄨ4"
+ ],
+ "𦳗": [
+ "ㄕㄥ3"
+ ],
+ "𦳘": [
+ "ㄔㄚ2"
+ ],
+ "𦳚": [
+ "ㄔ2"
+ ],
+ "𦳛": [
+ "ㄍㄨㄟ3"
+ ],
+ "𦳜": [
+ "ㄇㄧㄣ2"
+ ],
+ "𦳝": [
+ "ㄊㄤ1",
+ "ㄉㄤ4"
+ ],
+ "𦳞": [
+ "ㄅㄞ4"
+ ],
+ "𦳟": [
+ "ㄑㄧㄤ1"
+ ],
+ "𦳡": [
+ "ㄓㄨㄛ2"
+ ],
+ "𦳢": [
+ "ㄨㄟ4"
+ ],
+ "𦳣": [
+ "ㄒㄩㄣ2"
+ ],
+ "𦳥": [
+ "ㄇㄧㄠ3"
+ ],
+ "𦳦": [
+ "ㄗㄞ1"
+ ],
+ "𦳧": [
+ "ㄧㄡ2"
+ ],
+ "𦳩": [
+ "ㄧㄡ4"
+ ],
+ "𦳫": [
+ "ㄕㄢ1"
+ ],
+ "𦳬": [
+ "ㄏㄜ2"
+ ],
+ "𦳭": [
+ "ㄌㄩ3"
+ ],
+ "𦳮": [
+ "ㄓ2"
+ ],
+ "𦳲": [
+ "ㄐㄧㄥ4"
+ ],
+ "𦳳": [
+ "ㄓㄣ1"
+ ],
+ "𦳶": [
+ "ㄇㄥ2"
+ ],
+ "𦳷": [
+ "ㄧㄡ2"
+ ],
+ "𦳹": [
+ "ㄨㄛ4"
+ ],
+ "𦳺": [
+ "ㄅㄚ2"
+ ],
+ "𦳽": [
+ "ㄐㄩㄢ4"
+ ],
+ "𦳾": [
+ "ㄖㄨ2"
+ ],
+ "𦳿": [
+ "ㄘㄡ4"
+ ],
+ "𦴀": [
+ "ㄓ1"
+ ],
+ "𦴉": [
+ "ㄏㄨ2"
+ ],
+ "𦴊": [
+ "ㄧㄤ1"
+ ],
+ "𦴌": [
+ "ㄐㄩㄣ4"
+ ],
+ "𦴍": [
+ "ㄕㄜ2"
+ ],
+ "𦴎": [
+ "ㄎㄡ4"
+ ],
+ "𦴑": [
+ "ㄑㄧㄢ2"
+ ],
+ "𦴔": [
+ "ㄇㄥ2"
+ ],
+ "𦴚": [
+ "ㄊㄧㄠ2"
+ ],
+ "𦵐": [
+ "ㄋㄧㄝ4"
+ ],
+ "𦵟": [
+ "ㄔ2"
+ ],
+ "𦵡": [
+ "ㄒㄩㄥ1",
+ "ㄍㄨㄥ1"
+ ],
+ "𦵣": [
+ "ㄏㄨㄣ4"
+ ],
+ "𦵦": [
+ "ㄉㄧ2"
+ ],
+ "𦵧": [
+ "ㄌㄤ2"
+ ],
+ "𦵩": [
+ "ㄗㄠ1",
+ "ㄑㄧㄡ2"
+ ],
+ "𦵪": [
+ "ㄘㄜ4"
+ ],
+ "𦵫": [
+ "ㄙㄨㄛ3"
+ ],
+ "𦵬": [
+ "ㄗㄨ4"
+ ],
+ "𦵭": [
+ "ㄙㄨㄟ1"
+ ],
+ "𦵯": [
+ "ㄒㄧㄚ2"
+ ],
+ "𦵱": [
+ "ㄒㄧㄝ4"
+ ],
+ "𦵴": [
+ "ㄐㄧㄝ2"
+ ],
+ "𦵵": [
+ "ㄧㄡ2"
+ ],
+ "𦵷": [
+ "ㄍㄡ4"
+ ],
+ "𦵸": [
+ "ㄍㄥ3"
+ ],
+ "𦵼": [
+ "ㄐㄩㄣ4"
+ ],
+ "𦵽": [
+ "ㄏㄨㄤ3"
+ ],
+ "𦵾": [
+ "ㄐㄧ2"
+ ],
+ "𦵿": [
+ "ㄆㄡ1"
+ ],
+ "𦶀": [
+ "ㄨ1"
+ ],
+ "𦶂": [
+ "ㄧ4"
+ ],
+ "𦶅": [
+ "ㄋㄞ3"
+ ],
+ "𦶇": [
+ "ㄖㄨㄥ3",
+ "ㄖㄨㄢ3"
+ ],
+ "𦶈": [
+ "ㄋㄢ2"
+ ],
+ "𦶊": [
+ "ㄆㄧㄥ2"
+ ],
+ "𦶋": [
+ "ㄕㄢ4"
+ ],
+ "𦶌": [
+ "ㄉㄧㄠ1"
+ ],
+ "𦶍": [
+ "ㄐㄧ2"
+ ],
+ "𦶎": [
+ "ㄏㄨㄚ1"
+ ],
+ "𦶏": [
+ "ㄉㄨㄟ4"
+ ],
+ "𦶐": [
+ "ㄎㄨㄥ3"
+ ],
+ "𦶑": [
+ "ㄊㄚ4"
+ ],
+ "𦶓": [
+ "ㄏㄨㄥ4"
+ ],
+ "𦶕": [
+ "ㄕㄨ1"
+ ],
+ "𦶙": [
+ "ㄏㄥ2"
+ ],
+ "𦶚": [
+ "ㄈㄣ3"
+ ],
+ "𦶲": [
+ "ㄎㄡ4"
+ ],
+ "𦷙": [
+ "ㄋㄧㄢ2"
+ ],
+ "𦷝": [
+ "ㄔㄨ2"
+ ],
+ "𦷦": [
+ "ㄑㄧㄤ4"
+ ],
+ "𦷲": [
+ "ㄒㄧ4"
+ ],
+ "𦷳": [
+ "ㄏㄨ2"
+ ],
+ "𦷴": [
+ "ㄙㄨㄥ4"
+ ],
+ "𦷵": [
+ "ㄨㄛ4"
+ ],
+ "𦷷": [
+ "ㄏㄞ4"
+ ],
+ "𦷸": [
+ "ㄖㄨ2"
+ ],
+ "𦷹": [
+ "ㄇㄥ2"
+ ],
+ "𦷻": [
+ "ㄙㄢ3"
+ ],
+ "𦷽": [
+ "ㄨ2"
+ ],
+ "𦷿": [
+ "ㄧㄡ2"
+ ],
+ "𦸁": [
+ "ㄊㄢ1"
+ ],
+ "𦸂": [
+ "ㄕㄣ1"
+ ],
+ "𦸆": [
+ "ㄑㄧ3"
+ ],
+ "𦸈": [
+ "ㄍㄨㄛ2"
+ ],
+ "𦸉": [
+ "ㄑㄧㄚ4"
+ ],
+ "𦸊": [
+ "ㄒㄧㄢ1"
+ ],
+ "𦸏": [
+ "ㄙㄨㄟ1"
+ ],
+ "𦸐": [
+ "ㄌㄨ4"
+ ],
+ "𦸓": [
+ "ㄑㄧ1"
+ ],
+ "𦸔": [
+ "ㄉㄧㄠ1"
+ ],
+ "𦸗": [
+ "ㄑㄧ2"
+ ],
+ "𦸘": [
+ "ㄐㄧㄚ2"
+ ],
+ "𦸙": [
+ "ㄧㄡ2"
+ ],
+ "𦸚": [
+ "ㄒㄧ2"
+ ],
+ "𦸛": [
+ "ㄔㄠ2"
+ ],
+ "𦸡": [
+ "ㄇㄧ4"
+ ],
+ "𦸢": [
+ "ㄌㄡ4"
+ ],
+ "𦸣": [
+ "ㄅㄧ3"
+ ],
+ "𦸪": [
+ "ㄆㄟ2"
+ ],
+ "𦸮": [
+ "ㄓㄣ1"
+ ],
+ "𦸯": [
+ "ㄕㄣ1"
+ ],
+ "𦸰": [
+ "ㄔㄢ3"
+ ],
+ "𦸱": [
+ "ㄈㄨ4"
+ ],
+ "𦸶": [
+ "ㄑㄩ1"
+ ],
+ "𦸷": [
+ "ㄙ1"
+ ],
+ "𦸺": [
+ "ㄗㄨㄟ1"
+ ],
+ "𦹫": [
+ "ㄓㄠ4"
+ ],
+ "𦹽": [
+ "ㄆㄧ2"
+ ],
+ "𦺀": [
+ "ㄘㄡ4"
+ ],
+ "𦺆": [
+ "ㄍㄠ1"
+ ],
+ "𦺇": [
+ "ㄉㄨ2"
+ ],
+ "𦺉": [
+ "ㄈㄨ1"
+ ],
+ "𦺊": [
+ "ㄍㄨㄢ1"
+ ],
+ "𦺋": [
+ "ㄙㄠ3"
+ ],
+ "𦺌": [
+ "ㄙㄡ3"
+ ],
+ "𦺍": [
+ "ㄐㄧㄢ3"
+ ],
+ "𦺎": [
+ "ㄆㄡ2"
+ ],
+ "𦺐": [
+ "ㄘㄢ2"
+ ],
+ "𦺑": [
+ "ㄅㄥ4"
+ ],
+ "𦺒": [
+ "ㄇㄡ4"
+ ],
+ "𦺓": [
+ "ㄓㄠ1"
+ ],
+ "𦺔": [
+ "ㄒㄧㄠ2"
+ ],
+ "𦺖": [
+ "ㄐㄩ2"
+ ],
+ "𦺗": [
+ "ㄕㄨ1"
+ ],
+ "𦺘": [
+ "ㄐㄧㄢ3"
+ ],
+ "𦺙": [
+ "ㄌㄧ2"
+ ],
+ "𦺛": [
+ "ㄔㄨㄢ4"
+ ],
+ "𦺜": [
+ "ㄌㄠ4",
+ "ㄌㄠ2"
+ ],
+ "𦺞": [
+ "ㄏㄜ4"
+ ],
+ "𦺟": [
+ "ㄏㄨ2"
+ ],
+ "𦺠": [
+ "ㄍㄨ1"
+ ],
+ "𦺡": [
+ "ㄓㄤ3"
+ ],
+ "𦺢": [
+ "ㄐㄧㄝ2"
+ ],
+ "𦺣": [
+ "ㄒㄧㄤ4"
+ ],
+ "𦺥": [
+ "ㄉㄨ1"
+ ],
+ "𦺦": [
+ "ㄏㄢ2"
+ ],
+ "𦺧": [
+ "ㄐㄧㄚ2"
+ ],
+ "𦺨": [
+ "ㄒㄧㄤ4"
+ ],
+ "𦺩": [
+ "ㄐㄧ2"
+ ],
+ "𦺪": [
+ "ㄕㄨ3"
+ ],
+ "𦺫": [
+ "ㄌㄤ4"
+ ],
+ "𦺬": [
+ "ㄐㄧ1"
+ ],
+ "𦺭": [
+ "ㄕㄢ1"
+ ],
+ "𦺰": [
+ "ㄊㄠ1",
+ "ㄊㄧㄠ2"
+ ],
+ "𦺱": [
+ "ㄗ1"
+ ],
+ "𦺲": [
+ "ㄕㄨㄢ4"
+ ],
+ "𦺴": [
+ "ㄐㄧ2"
+ ],
+ "𦺵": [
+ "ㄔㄨ4"
+ ],
+ "𦺶": [
+ "ㄐㄧ4"
+ ],
+ "𦺷": [
+ "ㄕㄣ1"
+ ],
+ "𦺸": [
+ "ㄌㄧㄣ4",
+ "ㄌㄧㄣ2"
+ ],
+ "𦺹": [
+ "ㄌㄧㄠ2"
+ ],
+ "𦺻": [
+ "ㄙㄢ3"
+ ],
+ "𦺽": [
+ "ㄢ3"
+ ],
+ "𦺾": [
+ "ㄖㄨㄢ3"
+ ],
+ "𦻀": [
+ "ㄊㄧ2",
+ "ㄊㄞ2"
+ ],
+ "𦻁": [
+ "ㄉㄢ4"
+ ],
+ "𦻃": [
+ "ㄏㄨㄢ2"
+ ],
+ "𦻅": [
+ "ㄙㄚ4"
+ ],
+ "𦼆": [
+ "ㄖㄨㄟ2"
+ ],
+ "𦼇": [
+ "ㄨ1"
+ ],
+ "𦼈": [
+ "ㄐㄩ4"
+ ],
+ "𦼉": [
+ "ㄏㄨㄢ2"
+ ],
+ "𦼊": [
+ "ㄌㄥ2"
+ ],
+ "𦼋": [
+ "ㄌㄨ4"
+ ],
+ "𦼎": [
+ "ㄊㄢ1"
+ ],
+ "𦼏": [
+ "ㄗㄥ1"
+ ],
+ "𦼓": [
+ "ㄑㄧㄢ2"
+ ],
+ "𦼗": [
+ "ㄒㄧ1"
+ ],
+ "𦼡": [
+ "ㄘ3"
+ ],
+ "𦼢": [
+ "ㄕㄜ2"
+ ],
+ "𦼧": [
+ "ㄙㄚ4"
+ ],
+ "𦼪": [
+ "ㄇㄠ4"
+ ],
+ "𦼫": [
+ "ㄑㄩ2"
+ ],
+ "𦼭": [
+ "ㄅㄛ2"
+ ],
+ "𦼮": [
+ "ㄍㄢ3",
+ "ㄍㄢ4"
+ ],
+ "𦼰": [
+ "ㄑㄧㄝ4",
+ "ㄏㄜ2"
+ ],
+ "𦼱": [
+ "ㄐㄩㄢ4"
+ ],
+ "𦼲": [
+ "ㄉㄤ1"
+ ],
+ "𦼳": [
+ "ㄔㄤ2"
+ ],
+ "𦼴": [
+ "ㄧㄤ2"
+ ],
+ "𦼵": [
+ "ㄏㄜ2"
+ ],
+ "𦼷": [
+ "ㄐㄧ1"
+ ],
+ "𦼹": [
+ "ㄅㄧㄥ3"
+ ],
+ "𦼻": [
+ "ㄇㄟ2"
+ ],
+ "𦼿": [
+ "ㄉㄨㄣ1"
+ ],
+ "𦽀": [
+ "ㄠ3"
+ ],
+ "𦽁": [
+ "ㄐㄧㄥ1"
+ ],
+ "𦽂": [
+ "ㄌㄨ4"
+ ],
+ "𦽃": [
+ "ㄇㄧㄢ4"
+ ],
+ "𦽄": [
+ "ㄉㄧㄢ4"
+ ],
+ "𦽅": [
+ "ㄏㄜ4"
+ ],
+ "𦽇": [
+ "ㄐㄧㄢ1"
+ ],
+ "𦽊": [
+ "ㄏㄨㄚ2"
+ ],
+ "𦽋": [
+ "ㄍㄡ1"
+ ],
+ "𦽎": [
+ "ㄌㄨ4"
+ ],
+ "𦽏": [
+ "ㄈㄨ2"
+ ],
+ "𦽐": [
+ "ㄏㄨㄟ3"
+ ],
+ "𦽒": [
+ "ㄗㄟ2"
+ ],
+ "𦽔": [
+ "ㄐㄧㄣ4"
+ ],
+ "𦽕": [
+ "ㄙ1"
+ ],
+ "𦽖": [
+ "ㄑㄩㄣ1"
+ ],
+ "𦽜": [
+ "ㄉㄢ4"
+ ],
+ "𦽞": [
+ "ㄨㄢ4"
+ ],
+ "𦽟": [
+ "ㄅㄧㄢ3"
+ ],
+ "𦽤": [
+ "ㄐㄧㄚ2"
+ ],
+ "𦽫": [
+ "ㄉㄢ3"
+ ],
+ "𦽬": [
+ "ㄐㄧㄡ1"
+ ],
+ "𦽭": [
+ "ㄒㄧㄢ2"
+ ],
+ "𦽮": [
+ "ㄅㄛ2"
+ ],
+ "𦾏": [
+ "ㄒㄧㄚ2"
+ ],
+ "𦾑": [
+ "ㄅㄧㄠ1"
+ ],
+ "𦾕": [
+ "ㄆㄛ4"
+ ],
+ "𦾘": [
+ "ㄙㄠ3"
+ ],
+ "𦾙": [
+ "ㄅㄟ4"
+ ],
+ "𦾚": [
+ "ㄕㄚ4"
+ ],
+ "𦾛": [
+ "ㄨㄟ3"
+ ],
+ "𦾝": [
+ "ㄘㄤ1"
+ ],
+ "𦾞": [
+ "ㄌㄨ4"
+ ],
+ "𦾩": [
+ "ㄉㄢ4"
+ ],
+ "𦾫": [
+ "ㄍㄨ3"
+ ],
+ "𦾬": [
+ "ㄗㄚ1"
+ ],
+ "𦾭": [
+ "ㄅㄤ3"
+ ],
+ "𦾮": [
+ "ㄍㄢ4",
+ "ㄍㄢ3"
+ ],
+ "𦾱": [
+ "ㄔㄠ1"
+ ],
+ "𦾲": [
+ "ㄐㄧ4"
+ ],
+ "𦾳": [
+ "ㄌㄧㄝ1"
+ ],
+ "𦾵": [
+ "ㄑㄩㄥ2"
+ ],
+ "𦾶": [
+ "ㄐㄧㄢ4"
+ ],
+ "𦾷": [
+ "ㄌㄨ4"
+ ],
+ "𦾸": [
+ "ㄉㄨㄢ1"
+ ],
+ "𦾹": [
+ "ㄙㄨㄢ1"
+ ],
+ "𦾺": [
+ "ㄧㄠ2"
+ ],
+ "𦾻": [
+ "ㄧㄣ3"
+ ],
+ "𦾽": [
+ "ㄊㄚ4"
+ ],
+ "𦾾": [
+ "ㄧㄠ2"
+ ],
+ "𦾿": [
+ "ㄐㄧㄥ1"
+ ],
+ "𦿀": [
+ "ㄔㄨ2"
+ ],
+ "𦿁": [
+ "ㄈㄨ2"
+ ],
+ "𦿂": [
+ "ㄩㄢ2"
+ ],
+ "𦿃": [
+ "ㄕㄠ3"
+ ],
+ "𦿅": [
+ "ㄅㄧㄥ4"
+ ],
+ "𦿆": [
+ "ㄉㄤ4"
+ ],
+ "𦿇": [
+ "ㄕ4"
+ ],
+ "𦿊": [
+ "ㄌㄨ2"
+ ],
+ "𦿋": [
+ "ㄑㄧㄝ4"
+ ],
+ "𦿌": [
+ "ㄌㄨㄛ2"
+ ],
+ "𦿍": [
+ "ㄆㄛ4"
+ ],
+ "𦿏": [
+ "ㄇㄥ2",
+ "ㄇㄥ4"
+ ],
+ "𦿐": [
+ "ㄐㄧㄝ2"
+ ],
+ "𦿓": [
+ "ㄐㄧ1"
+ ],
+ "𦿖": [
+ "ㄌㄨ4"
+ ],
+ "𧀄": [
+ "ㄔㄤ4"
+ ],
+ "𧀅": [
+ "ㄇㄧㄝ4",
+ "ㄇㄛ4"
+ ],
+ "𧀆": [
+ "ㄇㄥ2"
+ ],
+ "𧀇": [
+ "ㄐㄧㄢ3"
+ ],
+ "𧀊": [
+ "ㄘㄞ3"
+ ],
+ "𧀌": [
+ "ㄙㄨ4"
+ ],
+ "𧀔": [
+ "ㄏㄜ4"
+ ],
+ "𧀕": [
+ "ㄙㄚ4"
+ ],
+ "𧀗": [
+ "ㄗ1"
+ ],
+ "𧀘": [
+ "ㄎㄥ1"
+ ],
+ "𧀙": [
+ "ㄍㄥ3"
+ ],
+ "𧀚": [
+ "ㄙ1"
+ ],
+ "𧀠": [
+ "ㄊㄧ2"
+ ],
+ "𧀡": [
+ "ㄓㄢ4"
+ ],
+ "𧀢": [
+ "ㄒㄧㄝ4"
+ ],
+ "𧀣": [
+ "ㄕㄨㄟ2"
+ ],
+ "𧀤": [
+ "ㄔ3"
+ ],
+ "𧀥": [
+ "ㄧㄡ1"
+ ],
+ "𧀦": [
+ "ㄌㄨ3"
+ ],
+ "𧀧": [
+ "ㄇㄥ4"
+ ],
+ "𧀨": [
+ "ㄌㄧㄝ4"
+ ],
+ "𧀩": [
+ "ㄙ4"
+ ],
+ "𧀬": [
+ "ㄒㄧ1"
+ ],
+ "𧀭": [
+ "ㄈㄢ2"
+ ],
+ "𧀮": [
+ "ㄈㄨ1"
+ ],
+ "𧀯": [
+ "ㄕㄣ3"
+ ],
+ "𧀰": [
+ "ㄊㄧ2"
+ ],
+ "𧀱": [
+ "ㄔㄞ4"
+ ],
+ "𧀲": [
+ "ㄩㄝ4"
+ ],
+ "𧀴": [
+ "ㄈㄨ1"
+ ],
+ "𧀵": [
+ "ㄐㄧㄢ4",
+ "ㄕㄢ3"
+ ],
+ "𧀶": [
+ "ㄉㄧ4"
+ ],
+ "𧀹": [
+ "ㄓㄜ4"
+ ],
+ "𧀺": [
+ "ㄒㄧㄝ2"
+ ],
+ "𧀻": [
+ "ㄉㄢ1"
+ ],
+ "𧀿": [
+ "ㄓ2"
+ ],
+ "𧁃": [
+ "ㄒㄩ4"
+ ],
+ "𧁈": [
+ "ㄋㄧㄝ4"
+ ],
+ "𧁉": [
+ "ㄈㄢ4"
+ ],
+ "𧁊": [
+ "ㄇㄥ2"
+ ],
+ "𧁋": [
+ "ㄇㄧㄣ3"
+ ],
+ "𧁾": [
+ "ㄌㄡ2"
+ ],
+ "𧁿": [
+ "ㄉㄨ2",
+ "ㄕㄨ3"
+ ],
+ "𧂁": [
+ "ㄓㄢ4"
+ ],
+ "𧂂": [
+ "ㄐㄧㄢ4"
+ ],
+ "𧂃": [
+ "ㄏㄢ4"
+ ],
+ "𧂄": [
+ "ㄉㄢ4"
+ ],
+ "𧂅": [
+ "ㄙㄣ1"
+ ],
+ "𧂆": [
+ "ㄐㄧㄢ4"
+ ],
+ "𧂇": [
+ "ㄊㄢ2",
+ "ㄒㄩㄣ2"
+ ],
+ "𧂈": [
+ "ㄐㄧㄠ3"
+ ],
+ "𧂉": [
+ "ㄆㄛ2"
+ ],
+ "𧂋": [
+ "ㄆㄧㄥ2"
+ ],
+ "𧂍": [
+ "ㄓㄨㄢ4",
+ "ㄙㄨㄣ1"
+ ],
+ "𧂏": [
+ "ㄌㄧㄠ2"
+ ],
+ "𧂐": [
+ "ㄗ4"
+ ],
+ "𧂒": [
+ "ㄓㄨㄛ2"
+ ],
+ "𧂔": [
+ "ㄏㄨ4"
+ ],
+ "𧂙": [
+ "ㄒㄧ4"
+ ],
+ "𧂛": [
+ "ㄇㄥ2"
+ ],
+ "𧂜": [
+ "ㄐㄩ4"
+ ],
+ "𧂝": [
+ "ㄇㄧㄝ4"
+ ],
+ "𧂞": [
+ "ㄒㄧㄢ2"
+ ],
+ "𧂠": [
+ "ㄎㄨㄟ4"
+ ],
+ "𧂡": [
+ "ㄇㄥ2"
+ ],
+ "𧂢": [
+ "ㄐㄧㄢ1"
+ ],
+ "𧂦": [
+ "ㄋㄡ2"
+ ],
+ "𧂨": [
+ "ㄉㄧ4"
+ ],
+ "𧂩": [
+ "ㄙㄠ1"
+ ],
+ "𧃏": [
+ "ㄔㄨ4"
+ ],
+ "𧃐": [
+ "ㄓ2"
+ ],
+ "𧃑": [
+ "ㄑㄧㄢ2"
+ ],
+ "𧃒": [
+ "ㄌㄩ3"
+ ],
+ "𧃔": [
+ "ㄓㄨㄛ2"
+ ],
+ "𧃘": [
+ "ㄗㄨㄛ4"
+ ],
+ "𧃙": [
+ "ㄏㄢ2"
+ ],
+ "𧃚": [
+ "ㄙㄨㄟ3"
+ ],
+ "𧃛": [
+ "ㄍㄡ4"
+ ],
+ "𧃝": [
+ "ㄔㄡ3"
+ ],
+ "𧃞": [
+ "ㄐㄧ4"
+ ],
+ "𧃟": [
+ "ㄧ4"
+ ],
+ "𧃠": [
+ "ㄩ2"
+ ],
+ "𧃨": [
+ "ㄋㄡ2"
+ ],
+ "𧃩": [
+ "ㄋㄧ3"
+ ],
+ "𧃪": [
+ "ㄖㄨㄛ4"
+ ],
+ "𧃮": [
+ "ㄌㄧㄣ2"
+ ],
+ "𧃱": [
+ "ㄋㄧㄥ2"
+ ],
+ "𧄍": [
+ "ㄑㄧㄠ2"
+ ],
+ "𧄎": [
+ "ㄧㄠ2"
+ ],
+ "𧄏": [
+ "ㄈㄨ4"
+ ],
+ "𧄐": [
+ "ㄕㄨㄤ1"
+ ],
+ "𧄑": [
+ "ㄎㄨㄟ4"
+ ],
+ "𧄒": [
+ "ㄑㄩ2"
+ ],
+ "𧄓": [
+ "ㄉㄨㄥ3"
+ ],
+ "𧄔": [
+ "ㄕㄨ3"
+ ],
+ "𧄚": [
+ "ㄌㄧ2"
+ ],
+ "𧄛": [
+ "ㄐㄩ2"
+ ],
+ "𧄜": [
+ "ㄖㄨㄟ3"
+ ],
+ "𧄠": [
+ "ㄓㄚ2"
+ ],
+ "𧄤": [
+ "ㄒㄧㄠ1"
+ ],
+ "𧄸": [
+ "ㄇㄣ2",
+ "ㄨㄟ3"
+ ],
+ "𧄹": [
+ "ㄕ2"
+ ],
+ "𧄺": [
+ "ㄉㄧㄢ1"
+ ],
+ "𧄻": [
+ "ㄌㄧ4"
+ ],
+ "𧄼": [
+ "ㄉㄥ4",
+ "ㄊㄥ2"
+ ],
+ "𧄽": [
+ "ㄗㄢ4",
+ "ㄗㄚ1"
+ ],
+ "𧄿": [
+ "ㄌㄨㄛ2"
+ ],
+ "𧅀": [
+ "ㄘㄢ2"
+ ],
+ "𧅃": [
+ "ㄠ1"
+ ],
+ "𧅆": [
+ "ㄐㄧㄢ3"
+ ],
+ "𧅈": [
+ "ㄉㄧㄠ4"
+ ],
+ "𧅋": [
+ "ㄧㄥ2"
+ ],
+ "𧅖": [
+ "ㄧ4"
+ ],
+ "𧅗": [
+ "ㄉㄤ3"
+ ],
+ "𧅘": [
+ "ㄋㄡ2"
+ ],
+ "𧅚": [
+ "ㄩㄝ4"
+ ],
+ "𧅮": [
+ "ㄌㄧ3"
+ ],
+ "𧅯": [
+ "ㄌㄧ2"
+ ],
+ "𧅰": [
+ "ㄏㄨ4"
+ ],
+ "𧅲": [
+ "ㄧㄡ4"
+ ],
+ "𧅺": [
+ "ㄋㄤ4"
+ ],
+ "𧆂": [
+ "ㄔㄣ4"
+ ],
+ "𧆉": [
+ "ㄈㄥ1"
+ ],
+ "𧆊": [
+ "ㄅㄧㄝ1"
+ ],
+ "𧆏": [
+ "ㄇㄢ3"
+ ],
+ "𧆐": [
+ "ㄍㄢ4"
+ ],
+ "𧆑": [
+ "ㄏㄨㄛ4",
+ "ㄙㄨㄟ3"
+ ],
+ "𧆓": [
+ "ㄘㄨ1"
+ ],
+ "𧆕": [
+ "ㄧㄡ3"
+ ],
+ "𧆘": [
+ "ㄧㄡ4"
+ ],
+ "𧆜": [
+ "ㄒㄩ1"
+ ],
+ "𧆡": [
+ "ㄒㄩ4"
+ ],
+ "𧆢": [
+ "ㄏㄨ3"
+ ],
+ "𧆣": [
+ "ㄌㄨ2"
+ ],
+ "𧆥": [
+ "ㄒㄧㄚ2"
+ ],
+ "𧆦": [
+ "ㄧ4"
+ ],
+ "𧆮": [
+ "ㄏㄨ3"
+ ],
+ "𧆯": [
+ "ㄏㄨ4"
+ ],
+ "𧆰": [
+ "ㄗ3"
+ ],
+ "𧆷": [
+ "ㄍㄨㄥ1"
+ ],
+ "𧆸": [
+ "ㄊㄨㄟ1"
+ ],
+ "𧆹": [
+ "ㄨ1"
+ ],
+ "𧆺": [
+ "ㄌㄧㄥ2"
+ ],
+ "𧆻": [
+ "ㄍㄨ1"
+ ],
+ "𧆼": [
+ "ㄓㄨㄥ1",
+ "ㄉㄨㄥ1"
+ ],
+ "𧇄": [
+ "ㄌㄨ2"
+ ],
+ "𧇈": [
+ "ㄗㄨ4"
+ ],
+ "𧇌": [
+ "ㄊㄨㄥ2"
+ ],
+ "𧇍": [
+ "ㄒㄧㄚ1"
+ ],
+ "𧇎": [
+ "ㄏㄜ2"
+ ],
+ "𧇓": [
+ "ㄩㄝ4"
+ ],
+ "𧇙": [
+ "ㄋㄢ2"
+ ],
+ "𧇚": [
+ "ㄅㄛ2"
+ ],
+ "𧇛": [
+ "ㄏㄨ1"
+ ],
+ "𧇜": [
+ "ㄑㄧ4"
+ ],
+ "𧇝": [
+ "ㄕㄨ2"
+ ],
+ "𧇞": [
+ "ㄑㄧㄤ1"
+ ],
+ "𧇟": [
+ "ㄓㄡ1"
+ ],
+ "𧇠": [
+ "ㄧㄠ4"
+ ],
+ "𧇡": [
+ "ㄍㄨ1"
+ ],
+ "𧇥": [
+ "ㄅㄢ1"
+ ],
+ "𧇦": [
+ "ㄎㄢ3"
+ ],
+ "𧇮": [
+ "ㄏㄜ2"
+ ],
+ "𧇯": [
+ "ㄐㄧ4"
+ ],
+ "𧇰": [
+ "ㄏㄨ2"
+ ],
+ "𧇱": [
+ "ㄧㄢ2"
+ ],
+ "𧇶": [
+ "ㄔㄨㄣ1"
+ ],
+ "𧇷": [
+ "ㄉㄧㄥ3"
+ ],
+ "𧇸": [
+ "ㄑㄧㄡ1"
+ ],
+ "𧇹": [
+ "ㄏㄡ2"
+ ],
+ "𧇼": [
+ "ㄏㄠ4"
+ ],
+ "𧇿": [
+ "ㄗㄨ4"
+ ],
+ "𧈁": [
+ "ㄒㄧㄢ2"
+ ],
+ "𧈄": [
+ "ㄒㄧㄚ4"
+ ],
+ "𧈅": [
+ "ㄒㄧ4"
+ ],
+ "𧈈": [
+ "ㄙㄜ4",
+ "ㄒㄧ4"
+ ],
+ "𧈌": [
+ "ㄍㄜ2"
+ ],
+ "𧈍": [
+ "ㄒㄧ4"
+ ],
+ "𧈑": [
+ "ㄍㄜ2"
+ ],
+ "𧈔": [
+ "ㄌㄩ3"
+ ],
+ "𧈖": [
+ "ㄍㄜ2"
+ ],
+ "𧈗": [
+ "ㄎㄜ4"
+ ],
+ "𧈙": [
+ "ㄕㄡ4"
+ ],
+ "𧈚": [
+ "ㄓㄨ4"
+ ],
+ "𧈜": [
+ "ㄊㄥ2"
+ ],
+ "𧈝": [
+ "ㄧㄚ4"
+ ],
+ "𧈞": [
+ "ㄋㄧ4"
+ ],
+ "𧈦": [
+ "ㄌㄨㄛ4"
+ ],
+ "𧈧": [
+ "ㄙㄨㄟ1",
+ "ㄇㄥ2"
+ ],
+ "𧈪": [
+ "ㄔㄢ3"
+ ],
+ "𧈭": [
+ "ㄨ4"
+ ],
+ "𧈯": [
+ "ㄩ1"
+ ],
+ "𧈹": [
+ "ㄗㄠ3"
+ ],
+ "𧈻": [
+ "ㄧ4"
+ ],
+ "𧈼": [
+ "ㄒㄧ1",
+ "ㄐㄧ2"
+ ],
+ "𧈽": [
+ "ㄏㄨㄥ2"
+ ],
+ "𧈾": [
+ "ㄑㄩㄢ2"
+ ],
+ "𧈿": [
+ "ㄨㄤ3"
+ ],
+ "𧉀": [
+ "ㄔ3"
+ ],
+ "𧉁": [
+ "ㄒㄧ4"
+ ],
+ "𧉂": [
+ "ㄊㄧㄢ3"
+ ],
+ "𧉃": [
+ "ㄩㄣ3"
+ ],
+ "𧉅": [
+ "ㄧ1"
+ ],
+ "𧉆": [
+ "ㄐㄧ2"
+ ],
+ "𧉇": [
+ "ㄏㄨㄟ1"
+ ],
+ "𧉈": [
+ "ㄈㄡ2",
+ "ㄈㄨ2"
+ ],
+ "𧉊": [
+ "ㄈㄨ3"
+ ],
+ "𧉍": [
+ "ㄐㄧ2"
+ ],
+ "𧉎": [
+ "ㄒㄩㄢ2"
+ ],
+ "𧉑": [
+ "ㄊㄞ4"
+ ],
+ "𧉓": [
+ "ㄉㄨ4"
+ ],
+ "𧉗": [
+ "ㄩㄢ2"
+ ],
+ "𧉛": [
+ "ㄉㄧ4"
+ ],
+ "𧉞": [
+ "ㄓㄨ3"
+ ],
+ "𧉟": [
+ "ㄊㄞ1"
+ ],
+ "𧉡": [
+ "ㄖㄨㄥ3"
+ ],
+ "𧉢": [
+ "ㄒㄩㄝ2"
+ ],
+ "𧉣": [
+ "ㄩ4"
+ ],
+ "𧉤": [
+ "ㄈㄢ4"
+ ],
+ "𧉥": [
+ "ㄅㄟ3"
+ ],
+ "𧉧": [
+ "ㄑㄩ3",
+ "ㄐㄧㄝ2"
+ ],
+ "𧉩": [
+ "ㄅㄨ4"
+ ],
+ "𧉪": [
+ "ㄐㄧㄚ1"
+ ],
+ "𧉫": [
+ "ㄓㄚ2"
+ ],
+ "𧉭": [
+ "ㄋㄨ3"
+ ],
+ "𧉮": [
+ "ㄕㄜ2",
+ "ㄧㄢ2",
+ "ㄧ2"
+ ],
+ "𧉲": [
+ "ㄌㄧ4"
+ ],
+ "𧊄": [
+ "ㄍㄨㄟ3"
+ ],
+ "𧊅": [
+ "ㄍㄨㄞ3"
+ ],
+ "𧊇": [
+ "ㄉㄞ4",
+ "ㄉㄜ2"
+ ],
+ "𧊏": [
+ "ㄍㄞ1"
+ ],
+ "𧊒": [
+ "ㄘ4"
+ ],
+ "𧊔": [
+ "ㄧㄢ3"
+ ],
+ "𧊕": [
+ "ㄙㄨㄥ1"
+ ],
+ "𧊖": [
+ "ㄕ4"
+ ],
+ "𧊘": [
+ "ㄎㄨ4"
+ ],
+ "𧊙": [
+ "ㄓ3"
+ ],
+ "𧊚": [
+ "ㄊㄨㄥ2"
+ ],
+ "𧊛": [
+ "ㄑㄩ2"
+ ],
+ "𧊜": [
+ "ㄜ4"
+ ],
+ "𧊞": [
+ "ㄒㄧㄥ2"
+ ],
+ "𧊟": [
+ "ㄖㄨ2"
+ ],
+ "𧊠": [
+ "ㄩ2",
+ "ㄕㄨ1"
+ ],
+ "𧊣": [
+ "ㄧ4"
+ ],
+ "𧊤": [
+ "ㄧ4"
+ ],
+ "𧊥": [
+ "ㄒㄩ4"
+ ],
+ "𧊦": [
+ "ㄈㄡ3"
+ ],
+ "𧊧": [
+ "ㄍㄜ2",
+ "ㄜ4"
+ ],
+ "𧊬": [
+ "ㄏㄜ2"
+ ],
+ "𧊭": [
+ "ㄧㄣ1"
+ ],
+ "𧊯": [
+ "ㄏㄨㄥ4"
+ ],
+ "𧊱": [
+ "ㄉㄨㄛ3"
+ ],
+ "𧊽": [
+ "ㄒㄧㄥ2"
+ ],
+ "𧊾": [
+ "ㄈㄢ2"
+ ],
+ "𧋉": [
+ "ㄑㄧ1"
+ ],
+ "𧋊": [
+ "ㄕㄚ1",
+ "ㄕㄨㄛ1"
+ ],
+ "𧋌": [
+ "ㄉㄨ4"
+ ],
+ "𧋍": [
+ "ㄉㄧ4",
+ "ㄒㄩㄝ2"
+ ],
+ "𧋎": [
+ "ㄌㄧ2"
+ ],
+ "𧋏": [
+ "ㄧ4"
+ ],
+ "𧋐": [
+ "ㄒㄧ2"
+ ],
+ "𧋑": [
+ "ㄍㄥ3"
+ ],
+ "𧋒": [
+ "ㄊㄨㄥ2",
+ "ㄕ4"
+ ],
+ "𧋓": [
+ "ㄎㄠ4"
+ ],
+ "𧋔": [
+ "ㄏㄨㄥ4"
+ ],
+ "𧋕": [
+ "ㄎㄨㄣ4"
+ ],
+ "𧋖": [
+ "ㄋㄧㄝ4"
+ ],
+ "𧋗": [
+ "ㄔ2"
+ ],
+ "𧋘": [
+ "ㄊㄧ2"
+ ],
+ "𧋚": [
+ "ㄊㄨㄥ2"
+ ],
+ "𧋠": [
+ "ㄌㄧ2",
+ "ㄌㄧ3"
+ ],
+ "𧋡": [
+ "ㄋㄚ4"
+ ],
+ "𧋱": [
+ "ㄓㄢ1"
+ ],
+ "𧋲": [
+ "ㄅㄟ3"
+ ],
+ "𧌁": [
+ "ㄊㄧㄠ2"
+ ],
+ "𧌃": [
+ "ㄗㄚ1"
+ ],
+ "𧌄": [
+ "ㄜ4",
+ "ㄧㄝ4"
+ ],
+ "𧌅": [
+ "ㄕㄡ4"
+ ],
+ "𧌆": [
+ "ㄎㄨㄥ1"
+ ],
+ "𧌇": [
+ "ㄆㄥ2"
+ ],
+ "𧌈": [
+ "ㄈㄨ4"
+ ],
+ "𧌉": [
+ "ㄌㄨ4"
+ ],
+ "𧌊": [
+ "ㄒㄧㄝ4"
+ ],
+ "𧌋": [
+ "ㄒㄧㄝ4"
+ ],
+ "𧌌": [
+ "ㄒㄧㄡ1"
+ ],
+ "𧌍": [
+ "ㄌㄨ4"
+ ],
+ "𧌎": [
+ "ㄊㄧㄢ3"
+ ],
+ "𧌏": [
+ "ㄊㄚ4"
+ ],
+ "𧌐": [
+ "ㄘ4"
+ ],
+ "𧌑": [
+ "ㄑㄩ1"
+ ],
+ "𧌓": [
+ "ㄈㄨ4"
+ ],
+ "𧌔": [
+ "ㄓ1"
+ ],
+ "𧌖": [
+ "ㄒㄧㄝ4",
+ "ㄕㄜ4"
+ ],
+ "𧌗": [
+ "ㄗㄡ3"
+ ],
+ "𧌘": [
+ "ㄈㄟ4"
+ ],
+ "𧌙": [
+ "ㄇㄧㄣ2"
+ ],
+ "𧌚": [
+ "ㄒㄧㄥ1"
+ ],
+ "𧌝": [
+ "ㄊㄨㄥ2"
+ ],
+ "𧌞": [
+ "ㄑㄧ2"
+ ],
+ "𧌠": [
+ "ㄆㄧㄠ1"
+ ],
+ "𧌢": [
+ "ㄙㄨㄟ4"
+ ],
+ "𧌣": [
+ "ㄦ3"
+ ],
+ "𧌧": [
+ "ㄏㄨ3"
+ ],
+ "𧌻": [
+ "ㄙㄨㄥ1"
+ ],
+ "𧌽": [
+ "ㄅㄧㄝ1"
+ ],
+ "𧌾": [
+ "ㄉㄧㄥ1"
+ ],
+ "𧌿": [
+ "ㄅㄢ3"
+ ],
+ "𧍀": [
+ "ㄕ1",
+ "ㄌㄧ3"
+ ],
+ "𧍁": [
+ "ㄒㄧㄝ4"
+ ],
+ "𧍂": [
+ "ㄒㄧㄠ2"
+ ],
+ "𧍃": [
+ "ㄈㄟ3"
+ ],
+ "𧍒": [
+ "ㄔㄨㄢ3",
+ "ㄔㄨㄞ3"
+ ],
+ "𧍓": [
+ "ㄕㄨㄞ4"
+ ],
+ "𧍔": [
+ "ㄧㄠ1"
+ ],
+ "𧍕": [
+ "ㄐㄩㄝ2"
+ ],
+ "𧍖": [
+ "ㄕㄥ3",
+ "ㄋㄧㄥ4"
+ ],
+ "𧍘": [
+ "ㄧㄡ1"
+ ],
+ "𧍙": [
+ "ㄈㄢ4"
+ ],
+ "𧍜": [
+ "ㄎㄨㄟ2"
+ ],
+ "𧍝": [
+ "ㄉㄧ4"
+ ],
+ "𧍟": [
+ "ㄇㄠ2"
+ ],
+ "𧍠": [
+ "ㄐㄧㄝ2"
+ ],
+ "𧍢": [
+ "ㄧㄢ2",
+ "ㄧㄣ3"
+ ],
+ "𧍥": [
+ "ㄨㄟ1"
+ ],
+ "𧍨": [
+ "ㄙㄤ1"
+ ],
+ "𧍩": [
+ "ㄐㄧㄝ2"
+ ],
+ "𧍪": [
+ "ㄩ2"
+ ],
+ "𧍫": [
+ "ㄨㄟ4"
+ ],
+ "𧍬": [
+ "ㄜ4"
+ ],
+ "𧍭": [
+ "ㄑㄩㄢ2"
+ ],
+ "𧍮": [
+ "ㄐㄩㄥ3"
+ ],
+ "𧍯": [
+ "ㄈㄥ2"
+ ],
+ "𧍰": [
+ "ㄌㄨㄥ2"
+ ],
+ "𧍱": [
+ "ㄉㄧㄝ2"
+ ],
+ "𧍲": [
+ "ㄆㄧㄢ2"
+ ],
+ "𧍴": [
+ "ㄌㄧㄢ4"
+ ],
+ "𧍵": [
+ "ㄏㄨ2"
+ ],
+ "𧍶": [
+ "ㄌㄩ4"
+ ],
+ "𧍿": [
+ "ㄉㄧㄢ4"
+ ],
+ "𧎃": [
+ "ㄘㄨㄟ4"
+ ],
+ "𧎄": [
+ "ㄇㄡ2",
+ "ㄨ4"
+ ],
+ "𧎕": [
+ "ㄨㄤ2"
+ ],
+ "𧎖": [
+ "ㄐㄩㄢ1"
+ ],
+ "𧎗": [
+ "ㄎㄜ1"
+ ],
+ "𧎘": [
+ "ㄧㄢ2"
+ ],
+ "𧎙": [
+ "ㄐㄧㄠ3"
+ ],
+ "𧎡": [
+ "ㄍㄨㄥ1"
+ ],
+ "𧎣": [
+ "ㄖㄨㄥ2"
+ ],
+ "𧎤": [
+ "ㄙㄨㄣ1"
+ ],
+ "𧎥": [
+ "ㄕㄢ4"
+ ],
+ "𧎨": [
+ "ㄔ2"
+ ],
+ "𧎪": [
+ "ㄑㄧ2"
+ ],
+ "𧎫": [
+ "ㄙㄨㄛ3"
+ ],
+ "𧎭": [
+ "ㄧㄝ4"
+ ],
+ "𧎮": [
+ "ㄗㄠ3"
+ ],
+ "𧎯": [
+ "ㄑㄩㄝ1"
+ ],
+ "𧎰": [
+ "ㄓㄢ3"
+ ],
+ "𧎱": [
+ "ㄅㄚ1"
+ ],
+ "𧎲": [
+ "ㄗㄨ2"
+ ],
+ "𧎳": [
+ "ㄙㄨㄛ3"
+ ],
+ "𧎴": [
+ "ㄓㄜ2"
+ ],
+ "𧎵": [
+ "ㄒㄧ4"
+ ],
+ "𧎷": [
+ "ㄔㄨ3"
+ ],
+ "𧎸": [
+ "ㄐㄧㄠ3"
+ ],
+ "𧎹": [
+ "ㄗㄨㄟ4"
+ ],
+ "𧎺": [
+ "ㄍㄜ1"
+ ],
+ "𧎻": [
+ "ㄨ4",
+ "ㄇㄡ2"
+ ],
+ "𧎾": [
+ "ㄌㄩㄝ4"
+ ],
+ "𧎿": [
+ "ㄐㄧ2"
+ ],
+ "𧏂": [
+ "ㄒㄧㄝ2"
+ ],
+ "𧏃": [
+ "ㄒㄧㄝ2"
+ ],
+ "𧏆": [
+ "ㄉㄡ3"
+ ],
+ "𧏋": [
+ "ㄑㄧㄡ1"
+ ],
+ "𧏑": [
+ "ㄆㄧㄥ2"
+ ],
+ "𧏓": [
+ "ㄌㄧㄡ2"
+ ],
+ "𧏥": [
+ "ㄐㄧㄝ2"
+ ],
+ "𧏧": [
+ "ㄏㄨㄟ4"
+ ],
+ "𧏫": [
+ "ㄕㄚ4"
+ ],
+ "𧏸": [
+ "ㄓ2"
+ ],
+ "𧏹": [
+ "ㄞ4"
+ ],
+ "𧏺": [
+ "ㄒㄩ4",
+ "ㄡ4"
+ ],
+ "𧏻": [
+ "ㄅㄧ4"
+ ],
+ "𧏽": [
+ "ㄧㄝ1"
+ ],
+ "𧏾": [
+ "ㄋㄧ4"
+ ],
+ "𧏿": [
+ "ㄓㄨ2"
+ ],
+ "𧐁": [
+ "ㄙㄨ4"
+ ],
+ "𧐃": [
+ "ㄒㄧㄝ2"
+ ],
+ "𧐄": [
+ "ㄩ4",
+ "ㄩ2"
+ ],
+ "𧐅": [
+ "ㄑㄩ1"
+ ],
+ "𧐈": [
+ "ㄗㄨ2"
+ ],
+ "𧐉": [
+ "ㄓ1"
+ ],
+ "𧐊": [
+ "ㄓㄤ1"
+ ],
+ "𧐋": [
+ "ㄌㄩㄝ4"
+ ],
+ "𧐌": [
+ "ㄨㄟ3"
+ ],
+ "𧐍": [
+ "ㄔㄨㄥ1"
+ ],
+ "𧐎": [
+ "ㄇㄧ4"
+ ],
+ "𧐐": [
+ "ㄐㄧ1"
+ ],
+ "𧐒": [
+ "ㄙㄨ4"
+ ],
+ "𧐓": [
+ "ㄧㄝ3"
+ ],
+ "𧐔": [
+ "ㄒㄧ2",
+ "ㄧ4"
+ ],
+ "𧐕": [
+ "ㄊㄨㄢ2"
+ ],
+ "𧐖": [
+ "ㄌㄧㄢ2",
+ "ㄌㄧㄢ4"
+ ],
+ "𧐗": [
+ "ㄒㄩㄢ2"
+ ],
+ "𧐙": [
+ "ㄨ4"
+ ],
+ "𧐟": [
+ "ㄇㄠ2"
+ ],
+ "𧐬": [
+ "ㄏㄨㄥ2"
+ ],
+ "𧐯": [
+ "ㄌㄩㄝ4"
+ ],
+ "𧐰": [
+ "ㄉㄨ2"
+ ],
+ "𧐱": [
+ "ㄘㄨㄥ2"
+ ],
+ "𧐲": [
+ "ㄔㄢ2"
+ ],
+ "𧐳": [
+ "ㄌㄨ4"
+ ],
+ "𧐴": [
+ "ㄙㄨ4"
+ ],
+ "𧑀": [
+ "ㄌㄩㄝ4"
+ ],
+ "𧑆": [
+ "ㄓㄨㄥ1"
+ ],
+ "𧑇": [
+ "ㄌㄧ2"
+ ],
+ "𧑈": [
+ "ㄈㄟ4"
+ ],
+ "𧑊": [
+ "ㄐㄧㄥ3"
+ ],
+ "𧑋": [
+ "ㄎㄨㄟ4"
+ ],
+ "𧑌": [
+ "ㄧ4"
+ ],
+ "𧑍": [
+ "ㄏㄨㄚ2"
+ ],
+ "𧑎": [
+ "ㄘㄨㄟ4"
+ ],
+ "𧑐": [
+ "ㄩ4"
+ ],
+ "𧑑": [
+ "ㄅㄥ3"
+ ],
+ "𧑒": [
+ "ㄊㄨㄣ1"
+ ],
+ "𧑓": [
+ "ㄕㄨ3"
+ ],
+ "𧑔": [
+ "ㄉㄞ4"
+ ],
+ "𧑕": [
+ "ㄨ1"
+ ],
+ "𧑖": [
+ "ㄘ4"
+ ],
+ "𧑗": [
+ "ㄋㄧㄥ4"
+ ],
+ "𧑘": [
+ "ㄉㄤ4"
+ ],
+ "𧑙": [
+ "ㄗㄨ2"
+ ],
+ "𧑚": [
+ "ㄏㄢ2"
+ ],
+ "𧑜": [
+ "ㄆㄧ2"
+ ],
+ "𧑝": [
+ "ㄔㄨㄢ4"
+ ],
+ "𧑠": [
+ "ㄉㄨ4"
+ ],
+ "𧑡": [
+ "ㄆㄚ2"
+ ],
+ "𧑤": [
+ "ㄓㄨ1"
+ ],
+ "𧑦": [
+ "ㄒㄧㄝ2"
+ ],
+ "𧑧": [
+ "ㄓㄜ2"
+ ],
+ "𧑨": [
+ "ㄑㄧㄝ4"
+ ],
+ "𧑩": [
+ "ㄒㄩㄢ1"
+ ],
+ "𧑫": [
+ "ㄙㄠ4"
+ ],
+ "𧒀": [
+ "ㄅㄧ4"
+ ],
+ "𧒂": [
+ "ㄈㄨ4"
+ ],
+ "𧒈": [
+ "ㄌㄧ4"
+ ],
+ "𧒎": [
+ "ㄜ2"
+ ],
+ "𧒐": [
+ "ㄧㄝ1"
+ ],
+ "𧒑": [
+ "ㄕㄨ3"
+ ],
+ "𧒓": [
+ "ㄙㄜ4"
+ ],
+ "𧒕": [
+ "ㄑㄧ1"
+ ],
+ "𧒖": [
+ "ㄍㄨㄛ4"
+ ],
+ "𧒗": [
+ "ㄙㄜ4"
+ ],
+ "𧒙": [
+ "ㄈㄨ4"
+ ],
+ "𧒚": [
+ "ㄇㄠ2"
+ ],
+ "𧒜": [
+ "ㄌㄟ2"
+ ],
+ "𧒝": [
+ "ㄓㄢ1"
+ ],
+ "𧒨": [
+ "ㄔㄞ4"
+ ],
+ "𧒭": [
+ "ㄨㄟ4"
+ ],
+ "𧒽": [
+ "ㄌㄟ2"
+ ],
+ "𧒿": [
+ "ㄗㄟ2"
+ ],
+ "𧓀": [
+ "ㄧㄥ1"
+ ],
+ "𧓁": [
+ "ㄞ4"
+ ],
+ "𧓂": [
+ "ㄒㄧㄝ1"
+ ],
+ "𧓄": [
+ "ㄅㄧ4"
+ ],
+ "𧓋": [
+ "ㄔㄢ2"
+ ],
+ "𧓎": [
+ "ㄆㄧ2",
+ "ㄅㄧ1"
+ ],
+ "𧓏": [
+ "ㄘㄨㄥ2"
+ ],
+ "𧓐": [
+ "ㄌㄧㄝ4"
+ ],
+ "𧓑": [
+ "ㄑㄧ2"
+ ],
+ "𧓓": [
+ "ㄐㄧ4"
+ ],
+ "𧓔": [
+ "ㄐㄧㄥ1"
+ ],
+ "𧓕": [
+ "ㄉㄨㄥ1"
+ ],
+ "𧓖": [
+ "ㄈㄟ2"
+ ],
+ "𧓗": [
+ "ㄧ2"
+ ],
+ "𧓘": [
+ "ㄊㄨㄢ2"
+ ],
+ "𧓨": [
+ "ㄇㄥ3"
+ ],
+ "𧓩": [
+ "ㄘㄢ2"
+ ],
+ "𧓪": [
+ "ㄧㄚ2"
+ ],
+ "𧓲": [
+ "ㄧㄤ3"
+ ],
+ "𧓴": [
+ "ㄊㄧㄥ2"
+ ],
+ "𧓸": [
+ "ㄓ2"
+ ],
+ "𧓺": [
+ "ㄒㄧㄝ4"
+ ],
+ "𧓻": [
+ "ㄌㄩ4"
+ ],
+ "𧓽": [
+ "ㄌㄧ4",
+ "ㄔㄞ4"
+ ],
+ "𧓿": [
+ "ㄇㄠ2"
+ ],
+ "𧔂": [
+ "ㄒㄧㄚ2"
+ ],
+ "𧔅": [
+ "ㄙㄡ4"
+ ],
+ "𧔖": [
+ "ㄙㄨ1"
+ ],
+ "𧔗": [
+ "ㄒㄩㄝ4"
+ ],
+ "𧔝": [
+ "ㄌㄧ4"
+ ],
+ "𧔞": [
+ "ㄩㄢ2"
+ ],
+ "𧔡": [
+ "ㄓㄢ3"
+ ],
+ "𧔣": [
+ "ㄊㄚ4"
+ ],
+ "𧔤": [
+ "ㄒㄩㄢ2"
+ ],
+ "𧔥": [
+ "ㄨㄟ4"
+ ],
+ "𧔦": [
+ "ㄧㄝ4"
+ ],
+ "𧔧": [
+ "ㄆㄤ2"
+ ],
+ "𧔨": [
+ "ㄇㄠ2"
+ ],
+ "𧔩": [
+ "ㄊㄧ2"
+ ],
+ "𧔪": [
+ "ㄆㄧㄣ2"
+ ],
+ "𧔬": [
+ "ㄉㄨ4"
+ ],
+ "𧔭": [
+ "ㄑㄧㄡ2"
+ ],
+ "𧔮": [
+ "ㄧ3"
+ ],
+ "𧔳": [
+ "ㄊㄨㄛ2"
+ ],
+ "𧔴": [
+ "ㄔㄞ4"
+ ],
+ "𧔷": [
+ "ㄐㄧㄣ4"
+ ],
+ "𧔼": [
+ "ㄜ2"
+ ],
+ "𧕃": [
+ "ㄔㄢ2"
+ ],
+ "𧕄": [
+ "ㄧㄥ1"
+ ],
+ "𧕅": [
+ "ㄌㄧㄥ2"
+ ],
+ "𧕇": [
+ "ㄒㄧㄢ3"
+ ],
+ "𧕉": [
+ "ㄑㄧ1"
+ ],
+ "𧕋": [
+ "ㄩㄝ4"
+ ],
+ "𧕌": [
+ "ㄌㄩㄝ4"
+ ],
+ "𧕍": [
+ "ㄧㄥ2"
+ ],
+ "𧕎": [
+ "ㄑㄩ2"
+ ],
+ "𧕒": [
+ "ㄈㄟ3"
+ ],
+ "𧕓": [
+ "ㄗ1"
+ ],
+ "𧕙": [
+ "ㄑㄧㄥ1"
+ ],
+ "𧕝": [
+ "ㄋㄧㄥ2"
+ ],
+ "𧕞": [
+ "ㄨㄟ4"
+ ],
+ "𧕟": [
+ "ㄕㄨㄤ1"
+ ],
+ "𧕡": [
+ "ㄈㄨ4"
+ ],
+ "𧕤": [
+ "ㄇㄛ4"
+ ],
+ "𧕥": [
+ "ㄇㄛ4"
+ ],
+ "𧕦": [
+ "ㄊㄨㄛ2"
+ ],
+ "𧕧": [
+ "ㄔㄞ4"
+ ],
+ "𧕨": [
+ "ㄗㄤ4"
+ ],
+ "𧕮": [
+ "ㄌㄧ2"
+ ],
+ "𧕯": [
+ "ㄌㄧ2",
+ "ㄕ1"
+ ],
+ "𧕱": [
+ "ㄒㄧㄚ2"
+ ],
+ "𧕲": [
+ "ㄐㄩㄢ3"
+ ],
+ "𧕴": [
+ "ㄋㄢ2"
+ ],
+ "𧕵": [
+ "ㄇㄧ4"
+ ],
+ "𧕸": [
+ "ㄏㄨㄤ2"
+ ],
+ "𧕺": [
+ "ㄕㄨㄤ1"
+ ],
+ "𧕼": [
+ "ㄒㄩ3"
+ ],
+ "𧕿": [
+ "ㄈㄟ3"
+ ],
+ "𧖁": [
+ "ㄒㄧㄝ4",
+ "ㄨㄣ2"
+ ],
+ "𧖆": [
+ "ㄊㄚ4"
+ ],
+ "𧖇": [
+ "ㄩㄥ3"
+ ],
+ "𧖉": [
+ "ㄓㄢ3"
+ ],
+ "𧖑": [
+ "ㄑㄧㄤ2"
+ ],
+ "𧖒": [
+ "ㄋㄤ2"
+ ],
+ "𧖔": [
+ "ㄌㄧㄣ4"
+ ],
+ "𧖘": [
+ "ㄌㄨㄢ2"
+ ],
+ "𧖙": [
+ "ㄒㄧㄢ3"
+ ],
+ "𧖚": [
+ "ㄈㄨ2"
+ ],
+ "𧖜": [
+ "ㄌㄧㄥ2"
+ ],
+ "𧖠": [
+ "ㄙㄠ1"
+ ],
+ "𧖢": [
+ "ㄏㄨㄟ4"
+ ],
+ "𧖨": [
+ "ㄊㄧㄥ2"
+ ],
+ "𧖪": [
+ "ㄑㄧㄥ2"
+ ],
+ "𧖬": [
+ "ㄏㄨㄤ1"
+ ],
+ "𧖮": [
+ "ㄢ4"
+ ],
+ "𧖵": [
+ "ㄇㄢ3"
+ ],
+ "𧖷": [
+ "ㄋㄧ4",
+ "ㄋㄩ4"
+ ],
+ "𧖻": [
+ "ㄍㄨㄛ2"
+ ],
+ "𧖼": [
+ "ㄡ3"
+ ],
+ "𧖿": [
+ "ㄒㄧㄤ4"
+ ],
+ "𧗁": [
+ "ㄐㄧㄣ1"
+ ],
+ "𧗆": [
+ "ㄓㄥ1"
+ ],
+ "𧗈": [
+ "ㄋㄨ2"
+ ],
+ "𧗋": [
+ "ㄙㄢ4"
+ ],
+ "𧗌": [
+ "ㄏㄨ4"
+ ],
+ "𧗎": [
+ "ㄗㄨ2"
+ ],
+ "𧗏": [
+ "ㄏㄨㄟ3"
+ ],
+ "𧗒": [
+ "ㄐㄧ1"
+ ],
+ "𧗖": [
+ "ㄧㄝ4"
+ ],
+ "𧗦": [
+ "ㄒㄧㄥ2"
+ ],
+ "𧗩": [
+ "ㄌㄚ4"
+ ],
+ "𧗪": [
+ "ㄩ4",
+ "ㄑㄩ2"
+ ],
+ "𧗫": [
+ "ㄐㄩㄝ2"
+ ],
+ "𧗱": [
+ "ㄕㄨ4",
+ "ㄩ4"
+ ],
+ "𧗲": [
+ "ㄓㄥ1"
+ ],
+ "𧗴": [
+ "ㄩㄥ3"
+ ],
+ "𧗶": [
+ "ㄍㄜ1"
+ ],
+ "𧗸": [
+ "ㄐㄧㄢ4"
+ ],
+ "𧗹": [
+ "ㄒㄧㄣ4",
+ "ㄒㄧㄢ1"
+ ],
+ "𧗼": [
+ "ㄏㄨㄟ1"
+ ],
+ "𧗿": [
+ "ㄕㄨㄞ4"
+ ],
+ "𧘂": [
+ "ㄔㄨㄥ1"
+ ],
+ "𧘃": [
+ "ㄏㄤ2"
+ ],
+ "𧘈": [
+ "ㄌㄧㄠ3"
+ ],
+ "𧘍": [
+ "ㄐㄧㄤ1"
+ ],
+ "𧘏": [
+ "ㄍㄨㄥ1"
+ ],
+ "𧘑": [
+ "ㄓㄨㄛ2",
+ "ㄅㄠ4"
+ ],
+ "𧘗": [
+ "ㄑㄧ3"
+ ],
+ "𧘜": [
+ "ㄑㄧㄢ1"
+ ],
+ "𧘞": [
+ "ㄉㄡ3"
+ ],
+ "𧘟": [
+ "ㄆㄛ1",
+ "ㄅㄛ1"
+ ],
+ "𧘢": [
+ "ㄏㄨ4"
+ ],
+ "𧘥": [
+ "ㄋㄧㄡ3"
+ ],
+ "𧘧": [
+ "ㄑㄧ4"
+ ],
+ "𧘨": [
+ "ㄉㄧㄠ1"
+ ],
+ "𧘩": [
+ "ㄉㄧㄠ1"
+ ],
+ "𧘫": [
+ "ㄌㄧ4"
+ ],
+ "𧘮": [
+ "ㄒㄩㄥ1"
+ ],
+ "𧘽": [
+ "ㄋㄚ2"
+ ],
+ "𧘿": [
+ "ㄓㄥ1"
+ ],
+ "𧙀": [
+ "ㄌㄚ4"
+ ],
+ "𧙁": [
+ "ㄓ4",
+ "ㄗ1",
+ "ㄐㄧ4",
+ "ㄆㄧ1"
+ ],
+ "𧙃": [
+ "ㄜ3"
+ ],
+ "𧙄": [
+ "ㄅㄛ1"
+ ],
+ "𧙅": [
+ "ㄆㄛ1"
+ ],
+ "𧙆": [
+ "ㄒㄩ1"
+ ],
+ "𧙇": [
+ "ㄩㄥ4",
+ "ㄉㄢ3"
+ ],
+ "𧙈": [
+ "ㄘ2"
+ ],
+ "𧙉": [
+ "ㄌㄧ4"
+ ],
+ "𧙌": [
+ "ㄆㄠ2"
+ ],
+ "𧙏": [
+ "ㄒㄧㄡ4",
+ "ㄧㄡ3"
+ ],
+ "𧙛": [
+ "ㄆㄨ4"
+ ],
+ "𧙝": [
+ "ㄔㄜ2"
+ ],
+ "𧙞": [
+ "ㄑㄧ4"
+ ],
+ "𧙡": [
+ "ㄧ4"
+ ],
+ "𧙣": [
+ "ㄊㄧ2"
+ ],
+ "𧙤": [
+ "ㄉㄨㄛ3"
+ ],
+ "𧙥": [
+ "ㄌㄨㄥ2",
+ "ㄊㄨㄥ3"
+ ],
+ "𧙧": [
+ "ㄐㄧㄢ4"
+ ],
+ "𧙭": [
+ "ㄓㄢ4"
+ ],
+ "𧙮": [
+ "ㄩㄢ4"
+ ],
+ "𧙶": [
+ "ㄩ2"
+ ],
+ "𧙸": [
+ "ㄍㄥ1"
+ ],
+ "𧙺": [
+ "ㄏㄡ4"
+ ],
+ "𧙾": [
+ "ㄑㄧ3"
+ ],
+ "𧚀": [
+ "ㄇㄨ4"
+ ],
+ "𧚁": [
+ "ㄏㄨㄢ4"
+ ],
+ "𧚂": [
+ "ㄌㄨㄥ4"
+ ],
+ "𧚃": [
+ "ㄒㄧ4"
+ ],
+ "𧚄": [
+ "ㄜ2"
+ ],
+ "𧚅": [
+ "ㄌㄤ3"
+ ],
+ "𧚆": [
+ "ㄈㄟ4"
+ ],
+ "𧚇": [
+ "ㄨㄢ3",
+ "ㄨㄣ4"
+ ],
+ "𧚉": [
+ "ㄘㄨㄣ1"
+ ],
+ "𧚋": [
+ "ㄆㄥ2"
+ ],
+ "𧚏": [
+ "ㄘㄨㄛ4"
+ ],
+ "𧚐": [
+ "ㄨㄥ1"
+ ],
+ "𧚡": [
+ "ㄍㄠ3"
+ ],
+ "𧚥": [
+ "ㄘㄨㄟ4"
+ ],
+ "𧚨": [
+ "ㄑㄧ4",
+ "ㄕㄚ4",
+ "ㄑㄧㄝ4"
+ ],
+ "𧚩": [
+ "ㄌㄧ2"
+ ],
+ "𧚪": [
+ "ㄑㄧㄝ4"
+ ],
+ "𧚫": [
+ "ㄑㄧㄢ4",
+ "ㄐㄧㄥ1"
+ ],
+ "𧚬": [
+ "ㄎㄨㄥ1"
+ ],
+ "𧚭": [
+ "ㄅㄥ3"
+ ],
+ "𧚯": [
+ "ㄕㄡ4"
+ ],
+ "𧚷": [
+ "ㄨㄟ1"
+ ],
+ "𧛄": [
+ "ㄕㄢ1"
+ ],
+ "𧛏": [
+ "ㄗ1"
+ ],
+ "𧛒": [
+ "ㄊㄧ4"
+ ],
+ "𧛓": [
+ "ㄑㄧㄢ1"
+ ],
+ "𧛔": [
+ "ㄉㄨ2"
+ ],
+ "𧛗": [
+ "ㄊㄨ2"
+ ],
+ "𧛚": [
+ "ㄨㄟ1"
+ ],
+ "𧛞": [
+ "ㄏㄨ2"
+ ],
+ "𧛟": [
+ "ㄒㄧㄥ1"
+ ],
+ "𧛡": [
+ "ㄕㄢ1"
+ ],
+ "𧛢": [
+ "ㄓ3"
+ ],
+ "𧛧": [
+ "ㄔ3"
+ ],
+ "𧛸": [
+ "ㄓㄡ4"
+ ],
+ "𧛹": [
+ "ㄨㄥ1"
+ ],
+ "𧛺": [
+ "ㄔ2"
+ ],
+ "𧛻": [
+ "ㄙㄨㄛ3"
+ ],
+ "𧛼": [
+ "ㄒㄧㄝ4"
+ ],
+ "𧛾": [
+ "ㄎㄜ4"
+ ],
+ "𧜁": [
+ "ㄕㄞ4",
+ "ㄕㄚ1",
+ "ㄕㄞ3"
+ ],
+ "𧜂": [
+ "ㄕ1"
+ ],
+ "𧜃": [
+ "ㄕㄡ4"
+ ],
+ "𧜅": [
+ "ㄐㄧㄝ4"
+ ],
+ "𧜉": [
+ "ㄍㄠ3"
+ ],
+ "𧜊": [
+ "ㄌㄩ3"
+ ],
+ "𧜔": [
+ "ㄒㄧㄝ4"
+ ],
+ "𧜚": [
+ "ㄓ3"
+ ],
+ "𧜞": [
+ "ㄇㄢ2",
+ "ㄇㄢ4"
+ ],
+ "𧜠": [
+ "ㄕㄨㄞ4"
+ ],
+ "𧜡": [
+ "ㄎㄜ4"
+ ],
+ "𧜣": [
+ "ㄉㄧㄠ3"
+ ],
+ "𧜤": [
+ "ㄧ1"
+ ],
+ "𧜦": [
+ "ㄙㄨ4"
+ ],
+ "𧜧": [
+ "ㄔㄨㄤ1"
+ ],
+ "𧜱": [
+ "ㄘㄨㄟ4"
+ ],
+ "𧜲": [
+ "ㄊㄨㄛ4"
+ ],
+ "𧜵": [
+ "ㄒㄧㄝ4"
+ ],
+ "𧜽": [
+ "ㄒㄩㄢ2"
+ ],
+ "𧝂": [
+ "ㄏㄜ4"
+ ],
+ "𧝃": [
+ "ㄐㄩㄝ2"
+ ],
+ "𧝆": [
+ "ㄊㄧ4"
+ ],
+ "𧝇": [
+ "ㄈㄟ4"
+ ],
+ "𧝉": [
+ "ㄓ3"
+ ],
+ "𧝊": [
+ "ㄕ4"
+ ],
+ "𧝋": [
+ "ㄊㄨㄟ2"
+ ],
+ "𧝎": [
+ "ㄔㄨㄥ1",
+ "ㄔㄨㄤ2",
+ "ㄔㄨㄥ2"
+ ],
+ "𧝐": [
+ "ㄊㄧ4"
+ ],
+ "𧝑": [
+ "ㄓㄢ4"
+ ],
+ "𧝒": [
+ "ㄏㄥ2"
+ ],
+ "𧝔": [
+ "ㄑㄩ2"
+ ],
+ "𧝕": [
+ "ㄨㄟ2"
+ ],
+ "𧝗": [
+ "ㄉㄨㄣ1"
+ ],
+ "𧝘": [
+ "ㄅㄠ4"
+ ],
+ "𧝜": [
+ "ㄌㄧㄠ2"
+ ],
+ "𧝤": [
+ "ㄙ1"
+ ],
+ "𧝪": [
+ "ㄅㄧㄠ3"
+ ],
+ "𧝫": [
+ "ㄒㄧㄝ4"
+ ],
+ "𧝬": [
+ "ㄅㄧㄝ2",
+ "ㄅㄧ4"
+ ],
+ "𧝮": [
+ "ㄘㄨㄥ3"
+ ],
+ "𧝲": [
+ "ㄐㄩ4"
+ ],
+ "𧝳": [
+ "ㄏㄜ2"
+ ],
+ "𧝷": [
+ "ㄎㄨㄟ4"
+ ],
+ "𧝸": [
+ "ㄩㄥ1"
+ ],
+ "𧞀": [
+ "ㄕㄨ4"
+ ],
+ "𧞍": [
+ "ㄋㄧㄝ4"
+ ],
+ "𧞏": [
+ "ㄩ2"
+ ],
+ "𧞐": [
+ "ㄓㄨㄛ2"
+ ],
+ "𧞑": [
+ "ㄇㄥ2"
+ ],
+ "𧞒": [
+ "ㄏㄨ2"
+ ],
+ "𧞕": [
+ "ㄌㄧㄝ4"
+ ],
+ "𧞝": [
+ "ㄐㄧㄝ1"
+ ],
+ "𧞞": [
+ "ㄒㄩㄥ2"
+ ],
+ "𧞣": [
+ "ㄧㄢ3"
+ ],
+ "𧞩": [
+ "ㄐㄧㄝ2"
+ ],
+ "𧞪": [
+ "ㄌㄚ4",
+ "ㄌㄧㄝ2"
+ ],
+ "𧞫": [
+ "ㄕㄨ4"
+ ],
+ "𧞬": [
+ "ㄐㄧㄝ2"
+ ],
+ "𧞭": [
+ "ㄌㄟ2"
+ ],
+ "𧞰": [
+ "ㄗㄨ2"
+ ],
+ "𧞲": [
+ "ㄕ4"
+ ],
+ "𧞸": [
+ "ㄨㄟ2",
+ "ㄙㄨㄟ4"
+ ],
+ "𧞹": [
+ "ㄉㄨ1"
+ ],
+ "𧞺": [
+ "ㄙㄨ4"
+ ],
+ "𧟃": [
+ "ㄒㄧㄝ2"
+ ],
+ "𧟄": [
+ "ㄖㄤ2"
+ ],
+ "𧟌": [
+ "ㄌㄨㄛ4"
+ ],
+ "𧟑": [
+ "ㄑㄧㄢ1"
+ ],
+ "𧟘": [
+ "ㄋㄤ4"
+ ],
+ "𧟙": [
+ "ㄌㄧㄥ2"
+ ],
+ "𧟜": [
+ "ㄐㄧ4"
+ ],
+ "𧟠": [
+ "ㄇㄧㄥ4"
+ ],
+ "𧟣": [
+ "ㄍㄨ3"
+ ],
+ "𧟨": [
+ "ㄒㄩㄢ2"
+ ],
+ "𧟬": [
+ "ㄒㄩ1"
+ ],
+ "𧟱": [
+ "ㄅㄛ2"
+ ],
+ "𧟼": [
+ "ㄨㄟ1"
+ ],
+ "𧠂": [
+ "ㄎㄨ1"
+ ],
+ "𧠆": [
+ "ㄨㄢ3"
+ ],
+ "𧠈": [
+ "ㄔㄚ4"
+ ],
+ "𧠊": [
+ "ㄇㄠ4"
+ ],
+ "𧠋": [
+ "ㄎㄜ4"
+ ],
+ "𧠎": [
+ "ㄘ4"
+ ],
+ "𧠒": [
+ "ㄒㄧㄢ4"
+ ],
+ "𧠓": [
+ "ㄇㄛ4"
+ ],
+ "𧠚": [
+ "ㄏㄨㄣ1"
+ ],
+ "𧠛": [
+ "ㄔㄢ4"
+ ],
+ "𧠜": [
+ "ㄕ1"
+ ],
+ "𧠝": [
+ "ㄓㄣ3"
+ ],
+ "𧠞": [
+ "ㄜ4"
+ ],
+ "𧠟": [
+ "ㄇㄧ2"
+ ],
+ "𧠡": [
+ "ㄕ1"
+ ],
+ "𧠢": [
+ "ㄑㄩ1"
+ ],
+ "𧠣": [
+ "ㄕㄨ1"
+ ],
+ "𧠥": [
+ "ㄘ1"
+ ],
+ "𧠦": [
+ "ㄧㄢ3"
+ ],
+ "𧠩": [
+ "ㄏㄨ1"
+ ],
+ "𧠪": [
+ "ㄑㄧ1"
+ ],
+ "𧠫": [
+ "ㄓ4",
+ "ㄉㄧ2",
+ "ㄔ4"
+ ],
+ "𧠬": [
+ "ㄏㄨㄤ1"
+ ],
+ "𧠴": [
+ "ㄓ3"
+ ],
+ "𧠶": [
+ "ㄧㄡ3"
+ ],
+ "𧠼": [
+ "ㄍㄠ4"
+ ],
+ "𧠽": [
+ "ㄧㄠ3"
+ ],
+ "𧠾": [
+ "ㄆㄡ1"
+ ],
+ "𧡇": [
+ "ㄧ2"
+ ],
+ "𧡈": [
+ "ㄔㄥ4"
+ ],
+ "𧡉": [
+ "ㄐㄧ4"
+ ],
+ "𧡋": [
+ "ㄞ3",
+ "ㄧㄚ2"
+ ],
+ "𧡍": [
+ "ㄉㄨㄥ4"
+ ],
+ "𧡏": [
+ "ㄙㄨㄟ4"
+ ],
+ "𧡑": [
+ "ㄐㄧㄡ4"
+ ],
+ "𧡘": [
+ "ㄑㄧ4",
+ "ㄑㄧㄣ1"
+ ],
+ "𧡙": [
+ "ㄌㄧㄢ2"
+ ],
+ "𧡚": [
+ "ㄒㄩㄢ3"
+ ],
+ "𧡜": [
+ "ㄌㄧㄠ3"
+ ],
+ "𧡡": [
+ "ㄩㄣ4"
+ ],
+ "𧡢": [
+ "ㄒㄩㄢ3"
+ ],
+ "𧡣": [
+ "ㄘㄡ2"
+ ],
+ "𧡤": [
+ "ㄆㄧㄢ1"
+ ],
+ "𧡦": [
+ "ㄎㄨㄟ2"
+ ],
+ "𧡨": [
+ "ㄊㄧ2"
+ ],
+ "𧡩": [
+ "ㄏㄨㄢ3"
+ ],
+ "𧡪": [
+ "ㄉㄢ1",
+ "ㄉㄢ4"
+ ],
+ "𧡫": [
+ "ㄍㄨㄟ4",
+ "ㄎㄨㄟ4"
+ ],
+ "𧡬": [
+ "ㄔㄣ1"
+ ],
+ "𧡮": [
+ "ㄕㄤ3"
+ ],
+ "𧡯": [
+ "ㄐㄧ4"
+ ],
+ "𧡴": [
+ "ㄌㄧㄢ4"
+ ],
+ "𧡵": [
+ "ㄎㄢ1"
+ ],
+ "𧡶": [
+ "ㄕㄥ4"
+ ],
+ "𧡸": [
+ "ㄉㄡ1"
+ ],
+ "𧡹": [
+ "ㄧㄡ2"
+ ],
+ "𧡺": [
+ "ㄑㄧ2"
+ ],
+ "𧡼": [
+ "ㄒㄧㄠ3"
+ ],
+ "𧢂": [
+ "ㄧ4"
+ ],
+ "𧢃": [
+ "ㄌㄡ2"
+ ],
+ "𧢆": [
+ "ㄔㄨㄤ1"
+ ],
+ "𧢋": [
+ "ㄌㄠ4"
+ ],
+ "𧢌": [
+ "ㄍㄠ1"
+ ],
+ "𧢐": [
+ "ㄗㄥ1"
+ ],
+ "𧢒": [
+ "ㄨㄟ2",
+ "ㄨㄟ3"
+ ],
+ "𧢖": [
+ "ㄐㄧㄢ1"
+ ],
+ "𧢛": [
+ "ㄧㄥ1"
+ ],
+ "𧢜": [
+ "ㄈㄢ2"
+ ],
+ "𧢝": [
+ "ㄌㄧ4"
+ ],
+ "𧢞": [
+ "ㄑㄧㄢ1"
+ ],
+ "𧢢": [
+ "ㄧㄠ4"
+ ],
+ "𧢦": [
+ "ㄎㄨㄟ1",
+ "ㄎㄨㄟ2",
+ "ㄍㄨㄟ4"
+ ],
+ "𧢧": [
+ "ㄨㄟ2"
+ ],
+ "𧢩": [
+ "ㄑㄩㄝ4"
+ ],
+ "𧢬": [
+ "ㄒㄧㄠ3"
+ ],
+ "𧢭": [
+ "ㄑㄩㄝ4"
+ ],
+ "𧢰": [
+ "ㄏㄨ1"
+ ],
+ "𧢵": [
+ "ㄉㄨㄛ1"
+ ],
+ "𧢶": [
+ "ㄔㄨ4"
+ ],
+ "𧢹": [
+ "ㄕㄣ1",
+ "ㄐㄧㄣ1"
+ ],
+ "𧢼": [
+ "ㄓㄨㄛ2"
+ ],
+ "𧢽": [
+ "ㄜ2"
+ ],
+ "𧢾": [
+ "ㄐㄧ4"
+ ],
+ "𧣁": [
+ "ㄊㄢ2"
+ ],
+ "𧣃": [
+ "ㄆㄚ1"
+ ],
+ "𧣋": [
+ "ㄐㄧㄝ4"
+ ],
+ "𧣌": [
+ "ㄑㄧㄠ4"
+ ],
+ "𧣑": [
+ "ㄑㄧㄢ2"
+ ],
+ "𧣒": [
+ "ㄐㄩ4"
+ ],
+ "𧣕": [
+ "ㄑㄧㄡ2"
+ ],
+ "𧣖": [
+ "ㄊㄨㄛ2"
+ ],
+ "𧣚": [
+ "ㄋㄨㄛ4"
+ ],
+ "𧣛": [
+ "ㄙ4"
+ ],
+ "𧣟": [
+ "ㄧ2"
+ ],
+ "𧣡": [
+ "ㄍㄨ3"
+ ],
+ "𧣢": [
+ "ㄏㄨㄣ4"
+ ],
+ "𧣣": [
+ "ㄆㄚ2"
+ ],
+ "𧣤": [
+ "ㄗ1"
+ ],
+ "𧣦": [
+ "ㄐㄧㄠ1"
+ ],
+ "𧣩": [
+ "ㄒㄧ3"
+ ],
+ "𧣪": [
+ "ㄕㄠ3",
+ "ㄕㄠ4"
+ ],
+ "𧣬": [
+ "ㄧ2"
+ ],
+ "𧣭": [
+ "ㄓ4"
+ ],
+ "𧣵": [
+ "ㄌㄨㄣ4"
+ ],
+ "𧣷": [
+ "ㄓㄡ1"
+ ],
+ "𧣸": [
+ "ㄐㄩㄝ2"
+ ],
+ "𧣹": [
+ "ㄊㄢ2"
+ ],
+ "𧣺": [
+ "ㄋㄨㄛ4",
+ "ㄔㄨㄛ4"
+ ],
+ "𧣻": [
+ "ㄐㄩ4"
+ ],
+ "𧣼": [
+ "ㄏㄨ2"
+ ],
+ "𧣾": [
+ "ㄓ4"
+ ],
+ "𧤃": [
+ "ㄅㄧ1"
+ ],
+ "𧤍": [
+ "ㄔ4",
+ "ㄊㄧ4"
+ ],
+ "𧤎": [
+ "ㄒㄩㄢ1"
+ ],
+ "𧤏": [
+ "ㄐㄧ2"
+ ],
+ "𧤐": [
+ "ㄍㄨㄚ3"
+ ],
+ "𧤑": [
+ "ㄐㄩ2"
+ ],
+ "𧤒": [
+ "ㄨㄛ4"
+ ],
+ "𧤓": [
+ "ㄊㄨㄛ2"
+ ],
+ "𧤕": [
+ "ㄑㄧㄡ2"
+ ],
+ "𧤖": [
+ "ㄨㄟ1"
+ ],
+ "𧤗": [
+ "ㄉㄨㄢ1"
+ ],
+ "𧤙": [
+ "ㄕㄡ4"
+ ],
+ "𧤛": [
+ "ㄓㄣ3"
+ ],
+ "𧤜": [
+ "ㄋㄜ4",
+ "ㄌㄧ4"
+ ],
+ "𧤟": [
+ "ㄒㄧ4"
+ ],
+ "𧤠": [
+ "ㄓㄜ2"
+ ],
+ "𧤡": [
+ "ㄓ4"
+ ],
+ "𧤣": [
+ "ㄋㄚ2"
+ ],
+ "𧤨": [
+ "ㄐㄧㄢ1"
+ ],
+ "𧤮": [
+ "ㄧㄠ2"
+ ],
+ "𧤯": [
+ "ㄍㄨㄛ2",
+ "ㄩㄝ4"
+ ],
+ "𧤲": [
+ "ㄉㄧ3"
+ ],
+ "𧤴": [
+ "ㄏㄨㄛ4"
+ ],
+ "𧤵": [
+ "ㄐㄧㄥ1"
+ ],
+ "𧤼": [
+ "ㄐㄩㄝ2"
+ ],
+ "𧤽": [
+ "ㄩㄝ4",
+ "ㄐㄧㄢ4"
+ ],
+ "𧥄": [
+ "ㄐㄧ2"
+ ],
+ "𧥆": [
+ "ㄙㄨ4"
+ ],
+ "𧥈": [
+ "ㄐㄧㄢ1"
+ ],
+ "𧥊": [
+ "ㄎㄨㄣ1"
+ ],
+ "𧥋": [
+ "ㄨㄛ4"
+ ],
+ "𧥌": [
+ "ㄎㄨㄤ4"
+ ],
+ "𧥍": [
+ "ㄅㄧㄠ1"
+ ],
+ "𧥎": [
+ "ㄐㄩㄝ2"
+ ],
+ "𧥑": [
+ "ㄅㄧ4"
+ ],
+ "𧥓": [
+ "ㄔㄢ2"
+ ],
+ "𧥕": [
+ "ㄗ1"
+ ],
+ "𧥖": [
+ "ㄌㄧ2",
+ "ㄕ3"
+ ],
+ "𧥚": [
+ "ㄈㄛ2"
+ ],
+ "𧥛": [
+ "ㄑㄧㄢ3"
+ ],
+ "𧥜": [
+ "ㄧㄢ3"
+ ],
+ "𧥞": [
+ "ㄊㄢ4"
+ ],
+ "𧥟": [
+ "ㄇㄛ4"
+ ],
+ "𧥣": [
+ "ㄎㄡ4"
+ ],
+ "𧥤": [
+ "ㄒㄧ1",
+ "ㄒㄧㄝ1"
+ ],
+ "𧥮": [
+ "ㄏㄨ4",
+ "ㄉㄧ3"
+ ],
+ "𧥯": [
+ "ㄏㄨ4"
+ ],
+ "𧥱": [
+ "ㄈㄨ2"
+ ],
+ "𧥴": [
+ "ㄧㄤ4"
+ ],
+ "𧥵": [
+ "ㄍㄨㄛ4"
+ ],
+ "𧥷": [
+ "ㄖㄣ2"
+ ],
+ "𧥸": [
+ "ㄧㄣ4"
+ ],
+ "𧥹": [
+ "ㄈㄥ1"
+ ],
+ "𧥺": [
+ "ㄐㄩㄣ4",
+ "ㄩㄣ4"
+ ],
+ "𧥼": [
+ "ㄩㄣ2"
+ ],
+ "𧥿": [
+ "ㄒㄩㄣ4"
+ ],
+ "𧦁": [
+ "ㄒㄧ4"
+ ],
+ "𧦎": [
+ "ㄒㄧㄚ1"
+ ],
+ "𧦑": [
+ "ㄏㄤ2"
+ ],
+ "𧦚": [
+ "ㄏㄨ4",
+ "ㄉㄧ3"
+ ],
+ "𧦝": [
+ "ㄏㄨ1",
+ "ㄏㄠ4"
+ ],
+ "𧦞": [
+ "ㄆㄨ4"
+ ],
+ "𧦟": [
+ "ㄈㄢ1"
+ ],
+ "𧦤": [
+ "ㄐㄧㄚ1"
+ ],
+ "𧦧": [
+ "ㄧ2",
+ "ㄊㄨㄛ1"
+ ],
+ "𧦭": [
+ "ㄊㄨㄛ1",
+ "ㄒㄧ1"
+ ],
+ "𧦮": [
+ "ㄋㄚ2"
+ ],
+ "𧦸": [
+ "ㄧㄣ2"
+ ],
+ "𧦹": [
+ "ㄧㄣ4"
+ ],
+ "𧧃": [
+ "ㄐㄧ4"
+ ],
+ "𧧄": [
+ "ㄨㄤ4"
+ ],
+ "𧧅": [
+ "ㄕ4",
+ "ㄐㄧㄢ4"
+ ],
+ "𧧆": [
+ "ㄉㄨㄟ1"
+ ],
+ "𧧇": [
+ "ㄉㄨㄛ4"
+ ],
+ "𧧉": [
+ "ㄊㄨㄛ2"
+ ],
+ "𧧊": [
+ "ㄨㄚ1"
+ ],
+ "𧧋": [
+ "ㄌㄧ4"
+ ],
+ "𧧏": [
+ "ㄖㄜ4",
+ "ㄖㄜ3"
+ ],
+ "𧧒": [
+ "ㄘ4"
+ ],
+ "𧧓": [
+ "ㄒㄩ4"
+ ],
+ "𧧔": [
+ "ㄓㄡ1"
+ ],
+ "𧧕": [
+ "ㄗ4"
+ ],
+ "𧧜": [
+ "ㄨㄤ3"
+ ],
+ "𧧝": [
+ "ㄧㄚ3"
+ ],
+ "𧧟": [
+ "ㄐㄧ4"
+ ],
+ "𧧠": [
+ "ㄔㄠ3"
+ ],
+ "𧧩": [
+ "ㄐㄧ2"
+ ],
+ "𧧵": [
+ "ㄕㄢ3"
+ ],
+ "𧧶": [
+ "ㄊㄨ2"
+ ],
+ "𧧸": [
+ "ㄅㄧㄝ2"
+ ],
+ "𧧹": [
+ "ㄒㄧ4"
+ ],
+ "𧧺": [
+ "ㄆㄧ1"
+ ],
+ "𧧻": [
+ "ㄓㄚ4"
+ ],
+ "𧧾": [
+ "ㄏㄨㄟ4"
+ ],
+ "𧨀": [
+ "ㄙㄨㄛ1",
+ "ㄗㄨㄛ4"
+ ],
+ "𧨂": [
+ "ㄏㄜ4"
+ ],
+ "𧨄": [
+ "ㄩㄝ1"
+ ],
+ "𧨆": [
+ "ㄨ1",
+ "ㄏㄨㄤ3"
+ ],
+ "𧨈": [
+ "ㄌㄧㄥ2",
+ "ㄨ1"
+ ],
+ "𧨊": [
+ "ㄓㄚ4"
+ ],
+ "𧨋": [
+ "ㄏㄨㄚ2"
+ ],
+ "𧨗": [
+ "ㄔㄢ2"
+ ],
+ "𧨟": [
+ "ㄜ4"
+ ],
+ "𧨡": [
+ "ㄔㄣ2"
+ ],
+ "𧨧": [
+ "ㄙㄨㄟ4"
+ ],
+ "𧨩": [
+ "ㄊㄧㄢ3"
+ ],
+ "𧨰": [
+ "ㄓ4"
+ ],
+ "𧨱": [
+ "ㄊㄧ4"
+ ],
+ "𧨲": [
+ "ㄠ1"
+ ],
+ "𧨳": [
+ "ㄓㄨㄛ2"
+ ],
+ "𧨴": [
+ "ㄗ4"
+ ],
+ "𧨵": [
+ "ㄎㄜ1"
+ ],
+ "𧨷": [
+ "ㄙㄜ4"
+ ],
+ "𧨸": [
+ "ㄊㄧㄢ2"
+ ],
+ "𧨹": [
+ "ㄌㄨ4"
+ ],
+ "𧨾": [
+ "ㄕㄢ2"
+ ],
+ "𧨿": [
+ "ㄓㄚ3"
+ ],
+ "𧩃": [
+ "ㄔㄨㄥ1"
+ ],
+ "𧩅": [
+ "ㄧㄢ4"
+ ],
+ "𧩒": [
+ "ㄇㄨ3"
+ ],
+ "𧩓": [
+ "ㄏㄨ1"
+ ],
+ "𧩚": [
+ "ㄔ1"
+ ],
+ "𧩝": [
+ "ㄙㄨ4"
+ ],
+ "𧩣": [
+ "ㄋㄠ3"
+ ],
+ "𧩦": [
+ "ㄐㄧ2"
+ ],
+ "𧩧": [
+ "ㄉㄨㄛ2"
+ ],
+ "𧩨": [
+ "ㄏㄡ4"
+ ],
+ "𧩪": [
+ "ㄘㄨㄥ4"
+ ],
+ "𧩫": [
+ "ㄓㄚ1",
+ "ㄔㄚ4"
+ ],
+ "𧩬": [
+ "ㄧㄣ2"
+ ],
+ "𧩮": [
+ "ㄒㄧㄠ3",
+ "ㄙㄡ3",
+ "ㄙㄡ4"
+ ],
+ "𧩰": [
+ "ㄅㄧㄢ4"
+ ],
+ "𧩱": [
+ "ㄅㄥ4"
+ ],
+ "𧩲": [
+ "ㄌㄚ4"
+ ],
+ "𧩴": [
+ "ㄔ1",
+ "ㄔ4"
+ ],
+ "𧩶": [
+ "ㄑㄧㄚ4"
+ ],
+ "𧩸": [
+ "ㄢ1"
+ ],
+ "𧩹": [
+ "ㄕ1",
+ "ㄧ3"
+ ],
+ "𧩼": [
+ "ㄔ4",
+ "ㄓ3"
+ ],
+ "𧪅": [
+ "ㄋㄨ4"
+ ],
+ "𧪇": [
+ "ㄐㄧ4"
+ ],
+ "𧪓": [
+ "ㄡ3"
+ ],
+ "𧪕": [
+ "ㄒㄧㄚ1"
+ ],
+ "𧪘": [
+ "ㄔㄞ4",
+ "ㄘㄨㄛ3",
+ "ㄐㄧㄝ1"
+ ],
+ "𧪚": [
+ "ㄞ2"
+ ],
+ "𧪝": [
+ "ㄕㄥ4"
+ ],
+ "𧪞": [
+ "ㄏㄜ2",
+ "ㄍㄜ2"
+ ],
+ "𧪠": [
+ "ㄐㄧ2"
+ ],
+ "𧪡": [
+ "ㄔ1"
+ ],
+ "𧪢": [
+ "ㄒㄧ4"
+ ],
+ "𧪣": [
+ "ㄓㄥ1"
+ ],
+ "𧪦": [
+ "ㄊㄚ1"
+ ],
+ "𧪨": [
+ "ㄇㄚ4"
+ ],
+ "𧪫": [
+ "ㄆㄧ1"
+ ],
+ "𧪮": [
+ "ㄒㄩ1",
+ "ㄏㄨㄚ2"
+ ],
+ "𧪯": [
+ "ㄑㄧㄢ3"
+ ],
+ "𧪹": [
+ "ㄒㄧㄚ4"
+ ],
+ "𧫊": [
+ "ㄩ4"
+ ],
+ "𧫑": [
+ "ㄐㄧㄝ2"
+ ],
+ "𧫒": [
+ "ㄒㄧㄚ4"
+ ],
+ "𧫓": [
+ "ㄌㄨ3"
+ ],
+ "𧫕": [
+ "ㄑㄧㄝ4"
+ ],
+ "𧫗": [
+ "ㄔㄚ4"
+ ],
+ "𧫛": [
+ "ㄧㄤ4"
+ ],
+ "𧫜": [
+ "ㄐㄧ4"
+ ],
+ "𧫝": [
+ "ㄕㄚ3"
+ ],
+ "𧫞": [
+ "ㄌㄡ4"
+ ],
+ "𧫠": [
+ "ㄐㄧ1"
+ ],
+ "𧫡": [
+ "ㄓ4"
+ ],
+ "𧫢": [
+ "ㄨㄤ4"
+ ],
+ "𧫤": [
+ "ㄅㄧ4"
+ ],
+ "𧫥": [
+ "ㄢ1"
+ ],
+ "𧫦": [
+ "ㄧ1"
+ ],
+ "𧫧": [
+ "ㄢ1",
+ "ㄢ4"
+ ],
+ "𧫬": [
+ "ㄌㄧ2"
+ ],
+ "𧫹": [
+ "ㄒㄧㄢ1"
+ ],
+ "𧫾": [
+ "ㄐㄧㄡ4"
+ ],
+ "𧫿": [
+ "ㄊㄢ3"
+ ],
+ "𧬁": [
+ "ㄏㄠ4"
+ ],
+ "𧬂": [
+ "ㄏㄜ4"
+ ],
+ "𧬅": [
+ "ㄓㄚ1"
+ ],
+ "𧬆": [
+ "ㄓㄢ3"
+ ],
+ "𧬇": [
+ "ㄧ4"
+ ],
+ "𧬈": [
+ "ㄒㄧ4"
+ ],
+ "𧬊": [
+ "ㄒㄧ4",
+ "ㄙ2"
+ ],
+ "𧬋": [
+ "ㄈㄚ4"
+ ],
+ "𧬌": [
+ "ㄧㄢ2"
+ ],
+ "𧬏": [
+ "ㄇㄨ3"
+ ],
+ "𧬕": [
+ "ㄍㄨ1"
+ ],
+ "𧬞": [
+ "ㄩㄣ2"
+ ],
+ "𧬤": [
+ "ㄓㄨㄥ4"
+ ],
+ "𧬦": [
+ "ㄔㄢ3"
+ ],
+ "𧬧": [
+ "ㄔㄨㄤ2"
+ ],
+ "𧬨": [
+ "ㄏㄨㄟ4"
+ ],
+ "𧬩": [
+ "ㄗㄚ2"
+ ],
+ "𧬪": [
+ "ㄍㄨㄣ4"
+ ],
+ "𧬫": [
+ "ㄐㄧㄢ3"
+ ],
+ "𧬬": [
+ "ㄧㄚ2"
+ ],
+ "𧬰": [
+ "ㄒㄧㄤ4",
+ "ㄒㄧㄤ3"
+ ],
+ "𧬱": [
+ "ㄏㄜ4"
+ ],
+ "𧭃": [
+ "ㄉㄢ4"
+ ],
+ "𧭇": [
+ "ㄇㄧㄢ2"
+ ],
+ "𧭈": [
+ "ㄋㄧㄥ2",
+ "ㄋㄧㄥ4"
+ ],
+ "𧭊": [
+ "ㄇㄥ2"
+ ],
+ "𧭌": [
+ "ㄌㄧㄝ4"
+ ],
+ "𧭍": [
+ "ㄓㄡ4"
+ ],
+ "𧭎": [
+ "ㄆㄨ1"
+ ],
+ "𧭏": [
+ "ㄊㄞ1"
+ ],
+ "𧭓": [
+ "ㄧㄥ2"
+ ],
+ "𧭔": [
+ "ㄊㄥ2"
+ ],
+ "𧭕": [
+ "ㄍㄨㄛ2"
+ ],
+ "𧭚": [
+ "ㄑㄧㄤ2"
+ ],
+ "𧭜": [
+ "ㄌㄩ4"
+ ],
+ "𧭝": [
+ "ㄙㄚ4"
+ ],
+ "𧭞": [
+ "ㄌㄧㄝ4"
+ ],
+ "𧭟": [
+ "ㄔ2"
+ ],
+ "𧭠": [
+ "ㄒㄧㄝ3"
+ ],
+ "𧭣": [
+ "ㄍㄨㄛ2"
+ ],
+ "𧭤": [
+ "ㄅㄠ4",
+ "ㄅㄠ2"
+ ],
+ "𧭥": [
+ "ㄌㄨㄛ4"
+ ],
+ "𧭦": [
+ "ㄐㄩㄢ4",
+ "ㄒㄩㄢ1"
+ ],
+ "𧭪": [
+ "ㄜ4"
+ ],
+ "𧭳": [
+ "ㄏㄜ2"
+ ],
+ "𧭵": [
+ "ㄇㄟ4"
+ ],
+ "𧭸": [
+ "ㄒㄧㄝ4"
+ ],
+ "𧭹": [
+ "ㄆㄧㄣ2"
+ ],
+ "𧭻": [
+ "ㄏㄢ1"
+ ],
+ "𧭼": [
+ "ㄔㄣ4"
+ ],
+ "𧭽": [
+ "ㄕㄢ4"
+ ],
+ "𧭾": [
+ "ㄏㄨㄟ4"
+ ],
+ "𧮆": [
+ "ㄧㄥ1"
+ ],
+ "𧮈": [
+ "ㄐㄧㄢ3"
+ ],
+ "𧮍": [
+ "ㄢ1"
+ ],
+ "𧮑": [
+ "ㄊㄚ4"
+ ],
+ "𧮒": [
+ "ㄧ1"
+ ],
+ "𧮓": [
+ "ㄊㄨㄟ2"
+ ],
+ "𧮗": [
+ "ㄌㄧㄡ2"
+ ],
+ "𧮙": [
+ "ㄗㄨㄛ2"
+ ],
+ "𧮛": [
+ "ㄌㄧ2"
+ ],
+ "𧮝": [
+ "ㄆㄧㄣ2"
+ ],
+ "𧮞": [
+ "ㄒㄩㄝ4"
+ ],
+ "𧮠": [
+ "ㄋㄣ4"
+ ],
+ "𧮡": [
+ "ㄉㄡ4"
+ ],
+ "𧮤": [
+ "ㄌㄢ3"
+ ],
+ "𧮪": [
+ "ㄓㄢ1"
+ ],
+ "𧮫": [
+ "ㄐㄩㄝ2"
+ ],
+ "𧮬": [
+ "ㄓㄣ1",
+ "ㄐㄩㄝ2"
+ ],
+ "𧮭": [
+ "ㄐㄧ2"
+ ],
+ "𧮮": [
+ "ㄑㄧㄢ1"
+ ],
+ "𧮰": [
+ "ㄏㄢ1"
+ ],
+ "𧮱": [
+ "ㄈㄣ2"
+ ],
+ "𧮳": [
+ "ㄏㄢ1"
+ ],
+ "𧮴": [
+ "ㄏㄨㄥ2"
+ ],
+ "𧮵": [
+ "ㄏㄜ2"
+ ],
+ "𧮶": [
+ "ㄏㄡ2"
+ ],
+ "𧮺": [
+ "ㄓㄢ4"
+ ],
+ "𧮻": [
+ "ㄔㄡ2",
+ "ㄒㄧㄠ1"
+ ],
+ "𧮼": [
+ "ㄊㄞ4"
+ ],
+ "𧮽": [
+ "ㄑㄧㄢ4"
+ ],
+ "𧮿": [
+ "ㄕㄜ4"
+ ],
+ "𧯀": [
+ "ㄧㄥ1"
+ ],
+ "𧯃": [
+ "ㄑㄧㄣ1"
+ ],
+ "𧯆": [
+ "ㄏㄨㄛ4"
+ ],
+ "𧯈": [
+ "ㄒㄧ4"
+ ],
+ "𧯉": [
+ "ㄏㄜ4"
+ ],
+ "𧯊": [
+ "ㄒㄧ4"
+ ],
+ "𧯋": [
+ "ㄒㄧㄚ1"
+ ],
+ "𧯌": [
+ "ㄏㄠ1"
+ ],
+ "𧯍": [
+ "ㄌㄠ4"
+ ],
+ "𧯏": [
+ "ㄌㄧ4"
+ ],
+ "𧯒": [
+ "ㄔㄥ1"
+ ],
+ "𧯖": [
+ "ㄐㄩㄣ4"
+ ],
+ "𧯗": [
+ "ㄒㄧ1"
+ ],
+ "𧯘": [
+ "ㄏㄢ3"
+ ],
+ "𧯞": [
+ "ㄉㄡ4",
+ "ㄉㄡ1"
+ ],
+ "𧯠": [
+ "ㄉㄡ1"
+ ],
+ "𧯡": [
+ "ㄨㄢ1",
+ "ㄩㄝ4"
+ ],
+ "𧯤": [
+ "ㄉㄡ1"
+ ],
+ "𧯥": [
+ "ㄗㄞ4"
+ ],
+ "𧯦": [
+ "ㄐㄩㄢ4"
+ ],
+ "𧯨": [
+ "ㄌㄡ3"
+ ],
+ "𧯩": [
+ "ㄔㄨ4"
+ ],
+ "𧯫": [
+ "ㄓㄥ1"
+ ],
+ "𧯯": [
+ "ㄑㄧ2"
+ ],
+ "𧯰": [
+ "ㄎㄢ4"
+ ],
+ "𧯱": [
+ "ㄏㄨㄛ4",
+ "ㄩ4"
+ ],
+ "𧯲": [
+ "ㄌㄞ2"
+ ],
+ "𧯺": [
+ "ㄍㄞ1"
+ ],
+ "𧯼": [
+ "ㄕㄡ4"
+ ],
+ "𧯾": [
+ "ㄉㄨㄥ1"
+ ],
+ "𧰃": [
+ "ㄌㄡ2"
+ ],
+ "𧰄": [
+ "ㄊㄨㄢ1"
+ ],
+ "𧰇": [
+ "ㄩ2"
+ ],
+ "𧰈": [
+ "ㄨ4"
+ ],
+ "𧰊": [
+ "ㄊㄧㄢ2"
+ ],
+ "𧰒": [
+ "ㄍㄨㄛ2"
+ ],
+ "𧰘": [
+ "ㄊㄢ2"
+ ],
+ "𧰙": [
+ "ㄑㄧ2"
+ ],
+ "𧰠": [
+ "ㄌㄧㄝ4"
+ ],
+ "𧰡": [
+ "ㄌㄧ4"
+ ],
+ "𧰣": [
+ "ㄒㄩㄣ1"
+ ],
+ "𧰨": [
+ "ㄍㄥ4"
+ ],
+ "𧰩": [
+ "ㄊㄧㄥ1"
+ ],
+ "𧰪": [
+ "ㄏㄢ4"
+ ],
+ "𧰫": [
+ "ㄔㄨ4"
+ ],
+ "𧰭": [
+ "ㄊㄨㄣ2"
+ ],
+ "𧰯": [
+ "ㄒㄩㄥ2"
+ ],
+ "𧰰": [
+ "ㄧㄡ2"
+ ],
+ "𧰱": [
+ "ㄇㄛ4"
+ ],
+ "𧰲": [
+ "ㄔ3"
+ ],
+ "𧰴": [
+ "ㄏㄨ3"
+ ],
+ "𧰵": [
+ "ㄉㄨ1",
+ "ㄉㄨ2",
+ "ㄓㄨㄛ2"
+ ],
+ "𧰷": [
+ "ㄇㄨ3"
+ ],
+ "𧰹": [
+ "ㄋㄚ4"
+ ],
+ "𧰻": [
+ "ㄌㄧㄥ2"
+ ],
+ "𧰿": [
+ "ㄞ4"
+ ],
+ "𧱀": [
+ "ㄒㄧㄢ1"
+ ],
+ "𧱄": [
+ "ㄎㄢ3"
+ ],
+ "𧱅": [
+ "ㄙ4"
+ ],
+ "𧱆": [
+ "ㄙㄢ1"
+ ],
+ "𧱊": [
+ "ㄧ4"
+ ],
+ "𧱏": [
+ "ㄧ4"
+ ],
+ "𧱐": [
+ "ㄒㄧㄠ4",
+ "ㄒㄧㄠ1"
+ ],
+ "𧱒": [
+ "ㄓ1",
+ "ㄓㄨㄛ1"
+ ],
+ "𧱓": [
+ "ㄉㄡ4"
+ ],
+ "𧱘": [
+ "ㄇㄞ4"
+ ],
+ "𧱜": [
+ "ㄌㄨㄣ2"
+ ],
+ "𧱝": [
+ "ㄐㄩㄝ2",
+ "ㄐㄩㄣ4"
+ ],
+ "𧱡": [
+ "ㄑㄧㄤ1"
+ ],
+ "𧱢": [
+ "ㄌㄧㄥ2"
+ ],
+ "𧱩": [
+ "ㄆㄧㄢ2"
+ ],
+ "𧱪": [
+ "ㄘㄡ4"
+ ],
+ "𧱫": [
+ "ㄉㄨㄛ4"
+ ],
+ "𧱬": [
+ "ㄩ3"
+ ],
+ "𧱰": [
+ "ㄓㄨㄛ1"
+ ],
+ "𧱲": [
+ "ㄒㄧ4"
+ ],
+ "𧱳": [
+ "ㄏㄨㄞ4"
+ ],
+ "𧱴": [
+ "ㄇㄧㄥ2"
+ ],
+ "𧱵": [
+ "ㄊㄤ2"
+ ],
+ "𧱹": [
+ "ㄆㄨ1"
+ ],
+ "𧱻": [
+ "ㄇㄧ4"
+ ],
+ "𧱼": [
+ "ㄇㄢ2"
+ ],
+ "𧱾": [
+ "ㄍㄨㄞ1"
+ ],
+ "𧲀": [
+ "ㄑㄧㄢ1"
+ ],
+ "𧲂": [
+ "ㄌㄧㄣ2"
+ ],
+ "𧲃": [
+ "ㄇㄧㄣ3"
+ ],
+ "𧲄": [
+ "ㄨㄟ3"
+ ],
+ "𧲅": [
+ "ㄘㄥ2"
+ ],
+ "𧲇": [
+ "ㄏㄨ4"
+ ],
+ "𧲈": [
+ "ㄙㄨㄟ2"
+ ],
+ "𧲋": [
+ "ㄐㄩ4"
+ ],
+ "𧲌": [
+ "ㄕㄚ4"
+ ],
+ "𧲍": [
+ "ㄇㄥ2"
+ ],
+ "𧲗": [
+ "ㄨㄟ2"
+ ],
+ "𧲘": [
+ "ㄒㄧ1"
+ ],
+ "𧲙": [
+ "ㄌㄧㄥ4"
+ ],
+ "𧲜": [
+ "ㄅㄧ4"
+ ],
+ "𧲝": [
+ "ㄨㄟ4"
+ ],
+ "𧲡": [
+ "ㄌㄧ4"
+ ],
+ "𧲢": [
+ "ㄓㄜ2"
+ ],
+ "𧲤": [
+ "ㄩㄥ2"
+ ],
+ "𧲥": [
+ "ㄏㄨ2"
+ ],
+ "𧲦": [
+ "ㄨㄢ2",
+ "ㄏㄜ2"
+ ],
+ "𧲧": [
+ "ㄅㄚ1"
+ ],
+ "𧲨": [
+ "ㄐㄧㄢ1"
+ ],
+ "𧲭": [
+ "ㄗㄨㄛ3"
+ ],
+ "𧲮": [
+ "ㄓㄢ3"
+ ],
+ "𧲯": [
+ "ㄅㄛ1"
+ ],
+ "𧲰": [
+ "ㄑㄧㄡ1",
+ "ㄔㄨ1"
+ ],
+ "𧲱": [
+ "ㄧㄤ1"
+ ],
+ "𧲴": [
+ "ㄉㄨㄥ1"
+ ],
+ "𧲵": [
+ "ㄑㄩ2"
+ ],
+ "𧲺": [
+ "ㄆㄧ2"
+ ],
+ "𧲻": [
+ "ㄓㄞ3"
+ ],
+ "𧲾": [
+ "ㄕㄢ1"
+ ],
+ "𧲿": [
+ "ㄍㄡ4"
+ ],
+ "𧳀": [
+ "ㄅㄧㄠ4",
+ "ㄋㄠ3"
+ ],
+ "𧳁": [
+ "ㄧ2"
+ ],
+ "𧳂": [
+ "ㄈㄨ2"
+ ],
+ "𧳄": [
+ "ㄒㄧㄣ4"
+ ],
+ "𧳅": [
+ "ㄕ4",
+ "ㄕ3"
+ ],
+ "𧳆": [
+ "ㄊㄨㄥ1",
+ "ㄊㄨㄥ2"
+ ],
+ "𧳉": [
+ "ㄉㄧㄥ1"
+ ],
+ "𧳌": [
+ "ㄊㄨ1"
+ ],
+ "𧳍": [
+ "ㄒㄧㄠ1"
+ ],
+ "𧳎": [
+ "ㄨ2"
+ ],
+ "𧳏": [
+ "ㄆㄟ2"
+ ],
+ "𧳐": [
+ "ㄏㄨㄟ1",
+ "ㄒㄧ1"
+ ],
+ "𧳕": [
+ "ㄌㄞ2"
+ ],
+ "𧳙": [
+ "ㄙ4"
+ ],
+ "𧳚": [
+ "ㄘㄨㄟ3"
+ ],
+ "𧳛": [
+ "ㄕㄚ4"
+ ],
+ "𧳜": [
+ "ㄓㄡ3"
+ ],
+ "𧳝": [
+ "ㄓㄠ4"
+ ],
+ "𧳞": [
+ "ㄨㄟ2"
+ ],
+ "𧳟": [
+ "ㄌㄞ2"
+ ],
+ "𧳠": [
+ "ㄅㄧ4",
+ "ㄅㄧ3"
+ ],
+ "𧳣": [
+ "ㄉㄨㄥ3"
+ ],
+ "𧳦": [
+ "ㄋㄠ3"
+ ],
+ "𧳧": [
+ "ㄒㄧㄝ1"
+ ],
+ "𧳨": [
+ "ㄖㄠ3"
+ ],
+ "𧳩": [
+ "ㄊㄨㄢ4"
+ ],
+ "𧳪": [
+ "ㄨㄟ4"
+ ],
+ "𧳫": [
+ "ㄧㄡ2",
+ "ㄐㄧㄡ1",
+ "ㄑㄧㄡ2",
+ "ㄧㄡ4"
+ ],
+ "𧳬": [
+ "ㄇㄟ2"
+ ],
+ "𧳭": [
+ "ㄩㄢ2"
+ ],
+ "𧳮": [
+ "ㄓㄨㄥ4"
+ ],
+ "𧳶": [
+ "ㄙㄡ1"
+ ],
+ "𧳸": [
+ "ㄍㄨ2"
+ ],
+ "𧳹": [
+ "ㄕㄠ4"
+ ],
+ "𧳻": [
+ "ㄓㄠ3"
+ ],
+ "𧳼": [
+ "ㄆㄧ2"
+ ],
+ "𧳿": [
+ "ㄊㄨㄥ1"
+ ],
+ "𧴁": [
+ "ㄔ1"
+ ],
+ "𧴂": [
+ "ㄆㄥ2"
+ ],
+ "𧴃": [
+ "ㄔㄢ2"
+ ],
+ "𧴄": [
+ "ㄩㄥ1"
+ ],
+ "𧴅": [
+ "ㄕㄨㄤ3"
+ ],
+ "𧴇": [
+ "ㄨ3"
+ ],
+ "𧴉": [
+ "ㄆㄧ2"
+ ],
+ "𧴊": [
+ "ㄏㄨㄢ4"
+ ],
+ "𧴌": [
+ "ㄈㄨ2"
+ ],
+ "𧴎": [
+ "ㄅㄧㄠ4"
+ ],
+ "𧴓": [
+ "ㄋㄠ2"
+ ],
+ "𧴕": [
+ "ㄅㄧㄠ4"
+ ],
+ "𧴖": [
+ "ㄨㄟ4"
+ ],
+ "𧴗": [
+ "ㄩㄥ1"
+ ],
+ "𧴙": [
+ "ㄋㄠ3"
+ ],
+ "𧴚": [
+ "ㄍㄨㄞ4"
+ ],
+ "𧴠": [
+ "ㄌㄧ4"
+ ],
+ "𧴢": [
+ "ㄒㄧㄣ4"
+ ],
+ "𧴣": [
+ "ㄧㄢ2"
+ ],
+ "𧴤": [
+ "ㄆㄛ4"
+ ],
+ "𧴥": [
+ "ㄆㄟ2"
+ ],
+ "𧴪": [
+ "ㄙㄨㄛ3"
+ ],
+ "𧴬": [
+ "ㄖㄣ4"
+ ],
+ "𧴭": [
+ "ㄕㄢ3"
+ ],
+ "𧴲": [
+ "ㄙㄨㄛ3"
+ ],
+ "𧴸": [
+ "ㄉㄢ1"
+ ],
+ "𧴺": [
+ "ㄇㄣ4"
+ ],
+ "𧵃": [
+ "ㄕㄡ3"
+ ],
+ "𧵈": [
+ "ㄍㄡ4"
+ ],
+ "𧵊": [
+ "ㄏㄢ1",
+ "ㄏㄢ4",
+ "ㄊㄢ4"
+ ],
+ "𧵋": [
+ "ㄕ4"
+ ],
+ "𧵌": [
+ "ㄧㄤ3"
+ ],
+ "𧵎": [
+ "ㄍㄨ3"
+ ],
+ "𧵛": [
+ "ㄎㄜ1"
+ ],
+ "𧵞": [
+ "ㄐㄩ1"
+ ],
+ "𧵠": [
+ "ㄆㄞ4"
+ ],
+ "𧵡": [
+ "ㄘㄜ4"
+ ],
+ "𧵢": [
+ "ㄅㄠ1"
+ ],
+ "𧵣": [
+ "ㄒㄩㄥ1",
+ "ㄇㄧㄣ2"
+ ],
+ "𧵤": [
+ "ㄘㄞ2",
+ "ㄓㄨ4"
+ ],
+ "𧵧": [
+ "ㄌㄧㄣ3"
+ ],
+ "𧵨": [
+ "ㄞ4"
+ ],
+ "𧵬": [
+ "ㄇㄧ4",
+ "ㄕㄣ4"
+ ],
+ "𧵭": [
+ "ㄌㄞ3"
+ ],
+ "𧵱": [
+ "ㄒㄧㄠ1"
+ ],
+ "𧵳": [
+ "ㄕㄜ2"
+ ],
+ "𧵻": [
+ "ㄏㄨㄛ2"
+ ],
+ "𧵼": [
+ "ㄋㄧ4"
+ ],
+ "𧶄": [
+ "ㄓㄥ4"
+ ],
+ "𧶆": [
+ "ㄌㄧㄣ4"
+ ],
+ "𧶇": [
+ "ㄓㄚ2"
+ ],
+ "𧶊": [
+ "ㄩㄣ2"
+ ],
+ "𧶍": [
+ "ㄒㄩ4"
+ ],
+ "𧶔": [
+ "ㄔㄥ2"
+ ],
+ "𧶕": [
+ "ㄨㄛ3"
+ ],
+ "𧶖": [
+ "ㄒㄧ1"
+ ],
+ "𧶙": [
+ "ㄅㄟ4"
+ ],
+ "𧶜": [
+ "ㄕㄤ1",
+ "ㄕㄤ3"
+ ],
+ "𧶠": [
+ "ㄩ4"
+ ],
+ "𧶡": [
+ "ㄇㄧ4"
+ ],
+ "𧶲": [
+ "ㄉㄨㄢ3",
+ "ㄓㄨㄢ4"
+ ],
+ "𧶵": [
+ "ㄔㄚ4"
+ ],
+ "𧶶": [
+ "ㄈㄢ4"
+ ],
+ "𧶷": [
+ "ㄗㄜ2"
+ ],
+ "𧶸": [
+ "ㄔㄥ4"
+ ],
+ "𧶺": [
+ "ㄊㄧㄥ2"
+ ],
+ "𧷅": [
+ "ㄧ2"
+ ],
+ "𧷋": [
+ "ㄧㄠ1"
+ ],
+ "𧷎": [
+ "ㄎㄨ1"
+ ],
+ "𧷐": [
+ "ㄈㄣ2"
+ ],
+ "𧷑": [
+ "ㄒㄧㄝ2"
+ ],
+ "𧷒": [
+ "ㄔㄥ4"
+ ],
+ "𧷛": [
+ "ㄎㄨㄟ4"
+ ],
+ "𧷟": [
+ "ㄅㄧㄣ1"
+ ],
+ "𧷡": [
+ "ㄌㄡ2",
+ "ㄌㄡ4"
+ ],
+ "𧷥": [
+ "ㄧ4"
+ ],
+ "𧷦": [
+ "ㄇㄧ4"
+ ],
+ "𧷧": [
+ "ㄒㄧㄝ4"
+ ],
+ "𧷱": [
+ "ㄍㄨㄟ1"
+ ],
+ "𧷳": [
+ "ㄌㄨㄛ2"
+ ],
+ "𧷶": [
+ "ㄕㄢ4"
+ ],
+ "𧷾": [
+ "ㄐㄩ2"
+ ],
+ "𧷿": [
+ "ㄉㄨ1"
+ ],
+ "𧸂": [
+ "ㄒㄧㄢ1"
+ ],
+ "𧸅": [
+ "ㄓ3"
+ ],
+ "𧸈": [
+ "ㄅㄧㄣ4"
+ ],
+ "𧸕": [
+ "ㄓ3"
+ ],
+ "𧸖": [
+ "ㄓㄨㄢ4",
+ "ㄌㄧㄢ2"
+ ],
+ "𧸗": [
+ "ㄒㄩㄝ2"
+ ],
+ "𧸘": [
+ "ㄌㄧㄢ4",
+ "ㄅㄧㄢ3",
+ "ㄐㄧㄢ3"
+ ],
+ "𧸙": [
+ "ㄙㄨㄟ4"
+ ],
+ "𧸦": [
+ "ㄌㄢ4"
+ ],
+ "𧸧": [
+ "ㄐㄩ4"
+ ],
+ "𧸨": [
+ "ㄇㄧㄢ2"
+ ],
+ "𧸩": [
+ "ㄒㄩㄣ4"
+ ],
+ "𧸪": [
+ "ㄓㄢ4"
+ ],
+ "𧸫": [
+ "ㄍㄨㄣ4"
+ ],
+ "𧸲": [
+ "ㄓ4"
+ ],
+ "𧸽": [
+ "ㄨㄟ4"
+ ],
+ "𧸾": [
+ "ㄑㄩㄢ3",
+ "ㄒㄩㄢ4"
+ ],
+ "𧸿": [
+ "ㄔㄞ4"
+ ],
+ "𧹈": [
+ "ㄖㄥ2"
+ ],
+ "𧹊": [
+ "ㄩㄝ4"
+ ],
+ "𧹌": [
+ "ㄗ1"
+ ],
+ "𧹐": [
+ "ㄌㄨㄛ4"
+ ],
+ "𧹑": [
+ "ㄍㄨㄟ4"
+ ],
+ "𧹓": [
+ "ㄔㄥ2"
+ ],
+ "𧹕": [
+ "ㄐㄩ1"
+ ],
+ "𧹖": [
+ "ㄊㄧㄢ3"
+ ],
+ "𧹗": [
+ "ㄨㄢ4"
+ ],
+ "𧹛": [
+ "ㄓ1"
+ ],
+ "𧹞": [
+ "ㄋㄢ3",
+ "ㄋㄧㄢ3"
+ ],
+ "𧹣": [
+ "ㄏㄢ1"
+ ],
+ "𧹨": [
+ "ㄒㄧ1"
+ ],
+ "𧹩": [
+ "ㄌㄧㄣ2"
+ ],
+ "𧹬": [
+ "ㄧㄢ1"
+ ],
+ "𧹭": [
+ "ㄒㄩ4"
+ ],
+ "𧹲": [
+ "ㄏㄨ4"
+ ],
+ "𧹳": [
+ "ㄍㄢ4"
+ ],
+ "𧹴": [
+ "ㄒㄩ4",
+ "ㄏㄨㄛ4"
+ ],
+ "𧹶": [
+ "ㄒㄧ4"
+ ],
+ "𧹺": [
+ "ㄘㄨㄟ4"
+ ],
+ "𧹽": [
+ "ㄒㄧ4"
+ ],
+ "𧹾": [
+ "ㄏㄨ2"
+ ],
+ "𧺅": [
+ "ㄧㄢ1"
+ ],
+ "𧺎": [
+ "ㄧ4"
+ ],
+ "𧺏": [
+ "ㄔ2"
+ ],
+ "𧺐": [
+ "ㄐㄩㄝ2"
+ ],
+ "𧺒": [
+ "ㄗㄨ2"
+ ],
+ "𧺜": [
+ "ㄐㄧㄠ4"
+ ],
+ "𧺝": [
+ "ㄧ4"
+ ],
+ "𧺟": [
+ "ㄊㄢ3"
+ ],
+ "𧺠": [
+ "ㄔ4"
+ ],
+ "𧺡": [
+ "ㄅㄚ2"
+ ],
+ "𧺢": [
+ "ㄊㄡ4",
+ "ㄧ4"
+ ],
+ "𧺣": [
+ "ㄗㄨㄥ1"
+ ],
+ "𧺤": [
+ "ㄑㄧㄡ2",
+ "ㄐㄩ1"
+ ],
+ "𧺧": [
+ "ㄔ4"
+ ],
+ "𧺨": [
+ "ㄒㄧ3"
+ ],
+ "𧺰": [
+ "ㄋㄧ4"
+ ],
+ "𧺲": [
+ "ㄘㄨ1"
+ ],
+ "𧺴": [
+ "ㄨ3"
+ ],
+ "𧺶": [
+ "ㄔㄨ4"
+ ],
+ "𧺷": [
+ "ㄙㄨ1"
+ ],
+ "𧺸": [
+ "ㄩㄥ2"
+ ],
+ "𧺹": [
+ "ㄐㄩ3"
+ ],
+ "𧺺": [
+ "ㄅㄚ2"
+ ],
+ "𧺼": [
+ "ㄘ3"
+ ],
+ "𧺽": [
+ "ㄉㄧ4"
+ ],
+ "𧺾": [
+ "ㄆㄢ3"
+ ],
+ "𧺿": [
+ "ㄔ4",
+ "ㄧ4"
+ ],
+ "𧻁": [
+ "ㄑㄧㄡ3"
+ ],
+ "𧻃": [
+ "ㄧㄢ2",
+ "ㄑㄩ4"
+ ],
+ "𧻍": [
+ "ㄓㄞ3"
+ ],
+ "𧻒": [
+ "ㄒㄧㄢ4"
+ ],
+ "𧻓": [
+ "ㄅㄥ4"
+ ],
+ "𧻔": [
+ "ㄎㄨㄤ1"
+ ],
+ "𧻕": [
+ "ㄑㄧ4"
+ ],
+ "𧻖": [
+ "ㄓㄡ1"
+ ],
+ "𧻗": [
+ "ㄐㄩ2"
+ ],
+ "𧻘": [
+ "ㄑㄧㄝ4"
+ ],
+ "𧻙": [
+ "ㄇㄛ4",
+ "ㄆㄛ4"
+ ],
+ "𧻚": [
+ "ㄩㄢ2"
+ ],
+ "𧻜": [
+ "ㄍㄨㄟ4",
+ "ㄎㄨㄟ3"
+ ],
+ "𧻝": [
+ "ㄗㄨㄟ1"
+ ],
+ "𧻧": [
+ "ㄑㄧㄝ4"
+ ],
+ "𧻰": [
+ "ㄏㄨ2",
+ "ㄗㄠ4"
+ ],
+ "𧻱": [
+ "ㄑㄧㄡ2"
+ ],
+ "𧻲": [
+ "ㄏㄞ2",
+ "ㄎㄨㄟ1"
+ ],
+ "𧻳": [
+ "ㄈㄨ4"
+ ],
+ "𧻴": [
+ "ㄌㄤ4"
+ ],
+ "𧻵": [
+ "ㄕㄚ4"
+ ],
+ "𧻶": [
+ "ㄒㄧ1"
+ ],
+ "𧻷": [
+ "ㄅㄨ1"
+ ],
+ "𧻸": [
+ "ㄕ4"
+ ],
+ "𧻹": [
+ "ㄩㄥ3"
+ ],
+ "𧻺": [
+ "ㄍㄨㄤ1",
+ "ㄎㄨㄤ1"
+ ],
+ "𧻼": [
+ "ㄋㄧㄝ4"
+ ],
+ "𧻿": [
+ "ㄏㄡ3"
+ ],
+ "𧼊": [
+ "ㄇㄧ4"
+ ],
+ "𧼎": [
+ "ㄜ4"
+ ],
+ "𧼏": [
+ "ㄒㄧㄢ2"
+ ],
+ "𧼐": [
+ "ㄩㄣ3",
+ "ㄑㄩㄣ1"
+ ],
+ "𧼑": [
+ "ㄒㄩ4"
+ ],
+ "𧼒": [
+ "ㄑㄧㄣ3"
+ ],
+ "𧼓": [
+ "ㄉㄨㄥ1"
+ ],
+ "𧼔": [
+ "ㄌㄥ2"
+ ],
+ "𧼕": [
+ "ㄑㄧ4"
+ ],
+ "𧼖": [
+ "ㄌㄢ2"
+ ],
+ "𧼗": [
+ "ㄈㄨ2"
+ ],
+ "𧼘": [
+ "ㄑㄧ3"
+ ],
+ "𧼙": [
+ "ㄔㄨㄥ3"
+ ],
+ "𧼜": [
+ "ㄘㄨ4"
+ ],
+ "𧼟": [
+ "ㄇㄛ4"
+ ],
+ "𧼠": [
+ "ㄅㄟ1"
+ ],
+ "𧼤": [
+ "ㄉㄠ4"
+ ],
+ "𧼨": [
+ "ㄐㄧㄝ2",
+ "ㄐㄩㄝ2"
+ ],
+ "𧼩": [
+ "ㄔㄨㄥ4",
+ "ㄉㄨㄥ4"
+ ],
+ "𧼪": [
+ "ㄔ4"
+ ],
+ "𧼫": [
+ "ㄩ4"
+ ],
+ "𧼬": [
+ "ㄘㄨㄟ1"
+ ],
+ "𧼭": [
+ "ㄙㄨ4",
+ "ㄙㄡ1",
+ "ㄙㄡ3",
+ "ㄑㄧㄡ4"
+ ],
+ "𧼮": [
+ "ㄊㄧ4"
+ ],
+ "𧼯": [
+ "ㄕㄨ4",
+ "ㄩ2"
+ ],
+ "𧼰": [
+ "ㄓㄚ2"
+ ],
+ "𧼱": [
+ "ㄈㄨ2",
+ "ㄅㄧ2"
+ ],
+ "𧼳": [
+ "ㄔㄜ4"
+ ],
+ "𧼴": [
+ "ㄈㄛ2",
+ "ㄓ4"
+ ],
+ "𧼵": [
+ "ㄏㄡ2"
+ ],
+ "𧼶": [
+ "ㄓㄚ2"
+ ],
+ "𧽄": [
+ "ㄐㄧㄝ2"
+ ],
+ "𧽅": [
+ "ㄓㄚ2"
+ ],
+ "𧽆": [
+ "ㄓㄢ1"
+ ],
+ "𧽉": [
+ "ㄧㄢ3"
+ ],
+ "𧽊": [
+ "ㄏㄞ2"
+ ],
+ "𧽋": [
+ "ㄨ3"
+ ],
+ "𧽌": [
+ "ㄏㄨㄚ2"
+ ],
+ "𧽍": [
+ "ㄉㄧㄢ1",
+ "ㄉㄧㄢ4"
+ ],
+ "𧽎": [
+ "ㄧㄠ2"
+ ],
+ "𧽏": [
+ "ㄙㄡ1"
+ ],
+ "𧽐": [
+ "ㄑㄧㄢ1"
+ ],
+ "𧽑": [
+ "ㄐㄧ2"
+ ],
+ "𧽒": [
+ "ㄒㄩㄥ4"
+ ],
+ "𧽓": [
+ "ㄑㄧ4"
+ ],
+ "𧽔": [
+ "ㄐㄩㄣ1"
+ ],
+ "𧽖": [
+ "ㄏㄞ2"
+ ],
+ "𧽞": [
+ "ㄧㄢ3"
+ ],
+ "𧽟": [
+ "ㄐㄧㄝ2"
+ ],
+ "𧽠": [
+ "ㄘㄨㄟ1"
+ ],
+ "𧽢": [
+ "ㄊㄨㄢ2"
+ ],
+ "𧽣": [
+ "ㄓㄤ1"
+ ],
+ "𧽤": [
+ "ㄆㄧㄠ1"
+ ],
+ "𧽥": [
+ "ㄌㄨ4"
+ ],
+ "𧽦": [
+ "ㄓ1"
+ ],
+ "𧽧": [
+ "ㄔㄨ4"
+ ],
+ "𧽨": [
+ "ㄇㄧ4"
+ ],
+ "𧽩": [
+ "ㄑㄧㄤ1"
+ ],
+ "𧽫": [
+ "ㄌㄧㄢ4"
+ ],
+ "𧽲": [
+ "ㄌㄧ4"
+ ],
+ "𧽶": [
+ "ㄜ2"
+ ],
+ "𧽷": [
+ "ㄙㄨ4"
+ ],
+ "𧽸": [
+ "ㄐㄩㄝ2",
+ "ㄍㄨㄟ4"
+ ],
+ "𧽻": [
+ "ㄐㄩ2"
+ ],
+ "𧽼": [
+ "ㄊㄢ2"
+ ],
+ "𧽽": [
+ "ㄌㄧㄠ2"
+ ],
+ "𧽾": [
+ "ㄙㄢ1",
+ "ㄘㄨㄣ2"
+ ],
+ "𧽿": [
+ "ㄉㄨㄥ4"
+ ],
+ "𧾁": [
+ "ㄗㄚ2"
+ ],
+ "𧾂": [
+ "ㄓ2"
+ ],
+ "𧾆": [
+ "ㄒㄩㄢ4"
+ ],
+ "𧾇": [
+ "ㄌㄧㄥ2"
+ ],
+ "𧾊": [
+ "ㄉㄥ1"
+ ],
+ "𧾍": [
+ "ㄓㄢ1",
+ "ㄓㄢ4",
+ "ㄔㄢ2"
+ ],
+ "𧾎": [
+ "ㄒㄩㄢ1"
+ ],
+ "𧾏": [
+ "ㄑㄧㄣ3"
+ ],
+ "𧾐": [
+ "ㄐㄧㄠ4"
+ ],
+ "𧾑": [
+ "ㄆㄧ4"
+ ],
+ "𧾔": [
+ "ㄏㄢ3"
+ ],
+ "𧾚": [
+ "ㄩ2"
+ ],
+ "𧾛": [
+ "ㄍㄨㄛ2"
+ ],
+ "𧾝": [
+ "ㄒㄩㄣ2"
+ ],
+ "𧾠": [
+ "ㄒㄩㄣ2"
+ ],
+ "𧾡": [
+ "ㄔㄢ2"
+ ],
+ "𧾢": [
+ "ㄐㄧㄝ2",
+ "ㄐㄧ2"
+ ],
+ "𧾣": [
+ "ㄐㄩ2"
+ ],
+ "𧾤": [
+ "ㄧㄢ3"
+ ],
+ "𧾥": [
+ "ㄉㄨ2"
+ ],
+ "𧾧": [
+ "ㄏㄨㄥ4"
+ ],
+ "𧾨": [
+ "ㄒㄧㄢ4",
+ "ㄒㄧㄢ3"
+ ],
+ "𧾩": [
+ "ㄒㄩㄣ2",
+ "ㄒㄩㄢ4"
+ ],
+ "𧾮": [
+ "ㄌㄧㄥ2"
+ ],
+ "𧾯": [
+ "ㄐㄧㄝ2"
+ ],
+ "𧾰": [
+ "ㄧ4"
+ ],
+ "𧾱": [
+ "ㄑㄩ2"
+ ],
+ "𧾲": [
+ "ㄍㄢ1"
+ ],
+ "𧾳": [
+ "ㄈㄥ1"
+ ],
+ "𧾵": [
+ "ㄐㄩㄝ2"
+ ],
+ "𧾶": [
+ "ㄑㄩ1"
+ ],
+ "𧾻": [
+ "ㄐㄧㄡ4"
+ ],
+ "𧾽": [
+ "ㄐㄧ4"
+ ],
+ "𧾾": [
+ "ㄐㄧ3"
+ ],
+ "𧿅": [
+ "ㄒㄧ2"
+ ],
+ "𧿆": [
+ "ㄆㄤ1"
+ ],
+ "𧿈": [
+ "ㄎㄨㄤ4"
+ ],
+ "𧿉": [
+ "ㄎㄨ4",
+ "ㄨ4"
+ ],
+ "𧿋": [
+ "ㄎㄨ4"
+ ],
+ "𧿌": [
+ "ㄓㄚ4"
+ ],
+ "𧿏": [
+ "ㄅㄚ4"
+ ],
+ "𧿒": [
+ "ㄔㄣ3"
+ ],
+ "𧿓": [
+ "ㄏㄨ4"
+ ],
+ "𧿔": [
+ "ㄋㄨ4"
+ ],
+ "𧿕": [
+ "ㄜ2"
+ ],
+ "𧿖": [
+ "ㄒㄩㄥ1"
+ ],
+ "𧿗": [
+ "ㄉㄨㄣ3"
+ ],
+ "𧿘": [
+ "ㄕㄥ1"
+ ],
+ "𧿙": [
+ "ㄨㄢ2"
+ ],
+ "𧿚": [
+ "ㄈㄣ1"
+ ],
+ "𧿝": [
+ "ㄒㄧ1"
+ ],
+ "𧿞": [
+ "ㄗ1"
+ ],
+ "𧿠": [
+ "ㄏㄨ4",
+ "ㄉㄧ4"
+ ],
+ "𧿥": [
+ "ㄅㄧㄝ2"
+ ],
+ "𧿧": [
+ "ㄊㄨㄛ4"
+ ],
+ "𧿨": [
+ "ㄅㄢ3"
+ ],
+ "𧿩": [
+ "ㄍㄜ2"
+ ],
+ "𧿫": [
+ "ㄎㄜ1"
+ ],
+ "𧿲": [
+ "ㄓㄨㄟ4",
+ "ㄅㄛ2"
+ ],
+ "𧿳": [
+ "ㄈㄨ2",
+ "ㄈㄟ4"
+ ],
+ "𧿴": [
+ "ㄇㄛ4"
+ ],
+ "𧿵": [
+ "ㄐㄧㄚ2"
+ ],
+ "𧿶": [
+ "ㄊㄨㄛ2"
+ ],
+ "𧿷": [
+ "ㄩ4"
+ ],
+ "𧿹": [
+ "ㄇㄨ3"
+ ],
+ "𧿺": [
+ "ㄐㄩㄝ2"
+ ],
+ "𧿻": [
+ "ㄐㄩ2"
+ ],
+ "𧿼": [
+ "ㄍㄨㄚ1"
+ ],
+ "𧿽": [
+ "ㄆㄛ3"
+ ],
+ "𨀀": [
+ "ㄋㄧ3",
+ "ㄋㄧㄢ3"
+ ],
+ "𨀄": [
+ "ㄨㄚ3"
+ ],
+ "𨀅": [
+ "ㄧㄢ3"
+ ],
+ "𨀔": [
+ "ㄔㄡ3"
+ ],
+ "𨀕": [
+ "ㄎㄨㄤ1"
+ ],
+ "𨀖": [
+ "ㄏㄞ4"
+ ],
+ "𨀘": [
+ "ㄒㄧㄤ2"
+ ],
+ "𨀙": [
+ "ㄒㄧ1"
+ ],
+ "𨀛": [
+ "ㄘㄨㄣ2"
+ ],
+ "𨀜": [
+ "ㄊㄨㄥ1"
+ ],
+ "𨀝": [
+ "ㄖㄨㄛ4"
+ ],
+ "𨀟": [
+ "ㄉㄨㄛ2"
+ ],
+ "𨀠": [
+ "ㄔㄜ4"
+ ],
+ "𨀤": [
+ "ㄌㄟ4"
+ ],
+ "𨀥": [
+ "ㄗ1"
+ ],
+ "𨀧": [
+ "ㄓㄥ3"
+ ],
+ "𨀨": [
+ "ㄗㄨㄛ3"
+ ],
+ "𨀫": [
+ "ㄎㄤ1"
+ ],
+ "𨀬": [
+ "ㄗㄞ4"
+ ],
+ "𨀮": [
+ "ㄩㄢ1",
+ "ㄒㄩㄢ1"
+ ],
+ "𨀯": [
+ "ㄑㄩㄥ2"
+ ],
+ "𨀳": [
+ "ㄈㄚ2"
+ ],
+ "𨀴": [
+ "ㄒㄩㄣ2"
+ ],
+ "𨀶": [
+ "ㄐㄧ4"
+ ],
+ "𨀸": [
+ "ㄔㄚ1"
+ ],
+ "𨁀": [
+ "ㄕㄨ1",
+ "ㄔㄡ1"
+ ],
+ "𨁁": [
+ "ㄒㄩㄢ4"
+ ],
+ "𨁂": [
+ "ㄒㄧㄝ2"
+ ],
+ "𨁃": [
+ "ㄊㄧ1"
+ ],
+ "𨁄": [
+ "ㄏㄢ4"
+ ],
+ "𨁅": [
+ "ㄒㄧㄢ1"
+ ],
+ "𨁆": [
+ "ㄕㄢ1"
+ ],
+ "𨁇": [
+ "ㄊㄨㄣ4"
+ ],
+ "𨁈": [
+ "ㄏㄤ2",
+ "ㄍㄥ1"
+ ],
+ "𨁉": [
+ "ㄎㄨㄣ3"
+ ],
+ "𨁊": [
+ "ㄘㄣ2"
+ ],
+ "𨁋": [
+ "ㄉㄡ1"
+ ],
+ "𨁌": [
+ "ㄋㄨㄛ2"
+ ],
+ "𨁍": [
+ "ㄧㄢ4"
+ ],
+ "𨁎": [
+ "ㄔㄥ2",
+ "ㄐㄧㄥ4"
+ ],
+ "𨁏": [
+ "ㄆㄨ1"
+ ],
+ "𨁐": [
+ "ㄑㄧ4"
+ ],
+ "𨁑": [
+ "ㄩㄝ4"
+ ],
+ "𨁒": [
+ "ㄈㄨ1"
+ ],
+ "𨁗": [
+ "ㄊㄧㄥ3"
+ ],
+ "𨁟": [
+ "ㄨㄛ3"
+ ],
+ "𨁠": [
+ "ㄕㄥ1"
+ ],
+ "𨁡": [
+ "ㄊㄨㄛ3"
+ ],
+ "𨁴": [
+ "ㄊㄢ3"
+ ],
+ "𨁶": [
+ "ㄧㄚ3",
+ "ㄧㄚ1"
+ ],
+ "𨁷": [
+ "ㄓ4"
+ ],
+ "𨁸": [
+ "ㄌㄨ4",
+ "ㄌㄧ4"
+ ],
+ "𨁹": [
+ "ㄧㄢ3"
+ ],
+ "𨁺": [
+ "ㄐㄩ1"
+ ],
+ "𨁽": [
+ "ㄉㄜ2"
+ ],
+ "𨁿": [
+ "ㄔㄨ4",
+ "ㄓㄨㄛ2"
+ ],
+ "𨂀": [
+ "ㄗㄨ3"
+ ],
+ "𨂁": [
+ "ㄜ4"
+ ],
+ "𨂂": [
+ "ㄓ2",
+ "ㄒㄩㄝ3"
+ ],
+ "𨂃": [
+ "ㄆㄥ2"
+ ],
+ "𨂅": [
+ "ㄅㄧㄝ1"
+ ],
+ "𨂇": [
+ "ㄉㄧ3"
+ ],
+ "𨂐": [
+ "ㄌㄞ2"
+ ],
+ "𨂒": [
+ "ㄧㄝ4"
+ ],
+ "𨂜": [
+ "ㄏㄠ2"
+ ],
+ "𨂝": [
+ "ㄆㄢ2"
+ ],
+ "𨂞": [
+ "ㄊㄢ4"
+ ],
+ "𨂟": [
+ "ㄎㄤ1"
+ ],
+ "𨂠": [
+ "ㄒㄩ1",
+ "ㄌㄩ3"
+ ],
+ "𨂡": [
+ "ㄗㄡ4"
+ ],
+ "𨂢": [
+ "ㄐㄧ2"
+ ],
+ "𨂣": [
+ "ㄨ4"
+ ],
+ "𨂦": [
+ "ㄔㄨㄢ4"
+ ],
+ "𨂩": [
+ "ㄆㄛ4"
+ ],
+ "𨂪": [
+ "ㄧㄢ3"
+ ],
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+ "ㄧㄝ2"
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+ "ㄖㄣ4"
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+ "ㄧㄝ4"
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+ ],
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+ ],
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+ ],
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+ "ㄏㄚ1"
+ ],
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+ "ㄏㄨㄤ2"
+ ],
+ "𨉥": [
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+ "ㄊㄧ3"
+ ],
+ "𨉩": [
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+ ],
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+ ],
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+ "ㄑㄩㄥ1"
+ ],
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+ "ㄊㄧㄥ2"
+ ],
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+ "ㄇㄟ2"
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+ "𨉱": [
+ "ㄊㄤ4"
+ ],
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+ "ㄖㄨㄥ2"
+ ],
+ "𨉸": [
+ "ㄑㄧ2"
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+ ],
+ "𨉽": [
+ "ㄒㄧㄤ4"
+ ],
+ "𨉾": [
+ "ㄊㄧㄢ2"
+ ],
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+ "ㄒㄧㄠ1"
+ ],
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+ "ㄓㄢ1"
+ ],
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+ "ㄘㄨㄟ4"
+ ],
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+ "ㄌㄢ2"
+ ],
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+ "ㄕㄣ1",
+ "ㄑㄩ1"
+ ],
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+ "ㄌㄟ3"
+ ],
+ "𨊛": [
+ "ㄌㄧ4"
+ ],
+ "𨊝": [
+ "ㄔㄢ1"
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+ "ㄋㄧㄝ4"
+ ],
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+ "ㄌㄨㄢ2"
+ ],
+ "𨊡": [
+ "ㄊㄧㄥ1"
+ ],
+ "𨊢": [
+ "ㄏㄨㄟ4",
+ "ㄕㄠ2"
+ ],
+ "𨊧": [
+ "ㄍㄨㄥ1"
+ ],
+ "𨊰": [
+ "ㄑㄧ4"
+ ],
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+ "ㄩ2"
+ ],
+ "𨊳": [
+ "ㄒㄧㄣ1"
+ ],
+ "𨊸": [
+ "ㄩㄝ4"
+ ],
+ "𨊹": [
+ "ㄅㄚ1"
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+ "𨊺": [
+ "ㄉㄞ4"
+ ],
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+ "ㄐㄧ1"
+ ],
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+ "ㄒㄩㄢ4"
+ ],
+ "𨊿": [
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+ ],
+ "𨋀": [
+ "ㄋㄧㄡ3"
+ ],
+ "𨋈": [
+ "ㄉㄨ4"
+ ],
+ "𨋉": [
+ "ㄐㄧ2"
+ ],
+ "𨋐": [
+ "ㄆㄚ1"
+ ],
+ "𨋑": [
+ "ㄍㄨㄥ3"
+ ],
+ "𨋒": [
+ "ㄅㄣ4"
+ ],
+ "𨋔": [
+ "ㄎㄥ1",
+ "ㄐㄩ2"
+ ],
+ "𨋕": [
+ "ㄧㄤ4",
+ "ㄤ3"
+ ],
+ "𨋖": [
+ "ㄌㄧㄡ3"
+ ],
+ "𨋗": [
+ "ㄋㄧ2"
+ ],
+ "𨋘": [
+ "ㄓㄚ4"
+ ],
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+ "ㄧㄣ4"
+ ],
+ "𨋚": [
+ "ㄋㄧㄢ3",
+ "ㄖㄨㄢ3"
+ ],
+ "𨋛": [
+ "ㄆㄠ4"
+ ],
+ "𨋝": [
+ "ㄍㄨㄥ1"
+ ],
+ "𨋞": [
+ "ㄅㄨ4"
+ ],
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+ "ㄏㄜ2"
+ ],
+ "𨋠": [
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+ ],
+ "𨋡": [
+ "ㄍㄨㄟ4"
+ ],
+ "𨋥": [
+ "ㄅㄧ4"
+ ],
+ "𨋦": [
+ "ㄒㄧ1"
+ ],
+ "𨋧": [
+ "ㄐㄩ2"
+ ],
+ "𨋨": [
+ "ㄏㄨㄣ2"
+ ],
+ "𨋩": [
+ "ㄅㄧ4",
+ "ㄈㄨ2"
+ ],
+ "𨋫": [
+ "ㄊㄧㄠ1"
+ ],
+ "𨋬": [
+ "ㄓㄥ3",
+ "ㄔㄥ4"
+ ],
+ "𨋮": [
+ "ㄏㄨㄥ1",
+ "ㄔㄨㄣ1"
+ ],
+ "𨋯": [
+ "ㄧ4"
+ ],
+ "𨋰": [
+ "ㄘ4"
+ ],
+ "𨋲": [
+ "ㄅㄧㄥ4"
+ ],
+ "𨋷": [
+ "ㄍㄨㄥ1"
+ ],
+ "𨋺": [
+ "ㄈㄚ2"
+ ],
+ "𨋽": [
+ "ㄧㄤ2"
+ ],
+ "𨋾": [
+ "ㄒㄩ3"
+ ],
+ "𨌁": [
+ "ㄏㄨㄥ1"
+ ],
+ "𨌄": [
+ "ㄗㄤ4"
+ ],
+ "𨌅": [
+ "ㄔㄞ2"
+ ],
+ "𨌆": [
+ "ㄏㄨㄥ2"
+ ],
+ "𨌈": [
+ "ㄊㄧㄢ2"
+ ],
+ "𨌌": [
+ "ㄓ1"
+ ],
+ "𨌍": [
+ "ㄒㄧㄥ1"
+ ],
+ "𨌎": [
+ "ㄒㄩ2"
+ ],
+ "𨌑": [
+ "ㄓㄣ4"
+ ],
+ "𨌔": [
+ "ㄨㄢ3",
+ "ㄨㄢ4"
+ ],
+ "𨌘": [
+ "ㄐㄩㄣ4"
+ ],
+ "𨌝": [
+ "ㄨㄛ4",
+ "ㄏㄨㄛ4"
+ ],
+ "𨌠": [
+ "ㄌㄨ4"
+ ],
+ "𨌢": [
+ "ㄓㄥ1"
+ ],
+ "𨌣": [
+ "ㄖㄨㄥ3"
+ ],
+ "𨌤": [
+ "ㄔㄥ2",
+ "ㄔㄥ4"
+ ],
+ "𨌥": [
+ "ㄈㄨ2"
+ ],
+ "𨌧": [
+ "ㄜ4"
+ ],
+ "𨌨": [
+ "ㄊㄠ1"
+ ],
+ "𨌩": [
+ "ㄊㄤ2"
+ ],
+ "𨌫": [
+ "ㄐㄩㄢ1"
+ ],
+ "𨌬": [
+ "ㄔㄠ4"
+ ],
+ "𨌭": [
+ "ㄊㄚ4"
+ ],
+ "𨌮": [
+ "ㄉㄧ3"
+ ],
+ "𨌰": [
+ "ㄗㄨㄥ1"
+ ],
+ "𨌳": [
+ "ㄎㄥ1"
+ ],
+ "𨌴": [
+ "ㄊㄨㄟ1"
+ ],
+ "𨌶": [
+ "ㄎㄥ1"
+ ],
+ "𨍅": [
+ "ㄖㄨㄥ3"
+ ],
+ "𨍆": [
+ "ㄩㄣ1"
+ ],
+ "𨍇": [
+ "ㄏㄜ2"
+ ],
+ "𨍈": [
+ "ㄗㄨㄥ3"
+ ],
+ "𨍉": [
+ "ㄘㄨㄥ1",
+ "ㄗㄨㄥ3"
+ ],
+ "𨍊": [
+ "ㄑㄧㄡ1"
+ ],
+ "𨍎": [
+ "ㄇㄨ4"
+ ],
+ "𨍏": [
+ "ㄉㄨㄛ2"
+ ],
+ "𨍐": [
+ "ㄒㄩ3"
+ ],
+ "𨍑": [
+ "ㄎㄥ1"
+ ],
+ "𨍒": [
+ "ㄒㄧㄢ4",
+ "ㄐㄧㄢ4"
+ ],
+ "𨍛": [
+ "ㄉㄨ2"
+ ],
+ "𨍜": [
+ "ㄎㄢ3"
+ ],
+ "𨍞": [
+ "ㄧㄥ1"
+ ],
+ "𨍢": [
+ "ㄗ1"
+ ],
+ "𨍧": [
+ "ㄏㄨㄤ2"
+ ],
+ "𨍩": [
+ "ㄆㄥ2"
+ ],
+ "𨍫": [
+ "ㄌㄧ4"
+ ],
+ "𨍭": [
+ "ㄅㄛ2",
+ "ㄆㄛ4"
+ ],
+ "𨍮": [
+ "ㄍㄜ2",
+ "ㄌㄧ4"
+ ],
+ "𨍯": [
+ "ㄐㄩ2"
+ ],
+ "𨍰": [
+ "ㄎㄜ1"
+ ],
+ "𨍲": [
+ "ㄏㄨ2",
+ "ㄍㄨㄣ3"
+ ],
+ "𨍳": [
+ "ㄧㄠ2"
+ ],
+ "𨍴": [
+ "ㄊㄤ2"
+ ],
+ "𨍶": [
+ "ㄑㄩㄥ2"
+ ],
+ "𨍷": [
+ "ㄖㄨㄥ3"
+ ],
+ "𨍸": [
+ "ㄌㄧㄡ3"
+ ],
+ "𨍹": [
+ "ㄏㄨㄟ4"
+ ],
+ "𨍺": [
+ "ㄐㄧ1"
+ ],
+ "𨎉": [
+ "ㄓ4"
+ ],
+ "𨎋": [
+ "ㄊㄤ2",
+ "ㄔㄥ1"
+ ],
+ "𨎌": [
+ "ㄓ3"
+ ],
+ "𨎍": [
+ "ㄎㄤ1",
+ "ㄌㄧㄤ2"
+ ],
+ "𨎔": [
+ "ㄧㄤ4"
+ ],
+ "𨎖": [
+ "ㄊㄤ3",
+ "ㄔㄤ3"
+ ],
+ "𨎗": [
+ "ㄏㄨㄥ1"
+ ],
+ "𨎛": [
+ "ㄌㄧㄤ2"
+ ],
+ "𨎝": [
+ "ㄘㄠ2"
+ ],
+ "𨎡": [
+ "ㄋㄞ3"
+ ],
+ "𨎢": [
+ "ㄗㄨㄥ3"
+ ],
+ "𨎤": [
+ "ㄉㄥ4"
+ ],
+ "𨎦": [
+ "ㄐㄧㄠ1"
+ ],
+ "𨎧": [
+ "ㄆㄥ2"
+ ],
+ "𨎩": [
+ "ㄍㄨㄤ1"
+ ],
+ "𨎪": [
+ "ㄦ2"
+ ],
+ "𨎫": [
+ "ㄐㄧㄢ4"
+ ],
+ "𨎬": [
+ "ㄐㄧㄠ4"
+ ],
+ "𨎭": [
+ "ㄋㄨㄛ2"
+ ],
+ "𨎮": [
+ "ㄗㄠ3"
+ ],
+ "𨎳": [
+ "ㄆㄥ2"
+ ],
+ "𨎴": [
+ "ㄉㄤ1"
+ ],
+ "𨎶": [
+ "ㄑㄩ2"
+ ],
+ "𨎷": [
+ "ㄌㄧㄢ2"
+ ],
+ "𨎸": [
+ "ㄇㄨ4"
+ ],
+ "𨎹": [
+ "ㄌㄢ3"
+ ],
+ "𨎾": [
+ "ㄈㄣ2"
+ ],
+ "𨏂": [
+ "ㄏㄨㄣ2",
+ "ㄒㄩㄢ1"
+ ],
+ "𨏆": [
+ "ㄎㄨㄤ1"
+ ],
+ "𨏈": [
+ "ㄧㄣ3"
+ ],
+ "𨏉": [
+ "ㄕㄨㄢ4"
+ ],
+ "𨏊": [
+ "ㄐㄧㄢ4"
+ ],
+ "𨏒": [
+ "ㄌㄨㄛ4",
+ "ㄌㄟ2"
+ ],
+ "𨏔": [
+ "ㄌㄨ4",
+ "ㄉㄨ2"
+ ],
+ "𨏚": [
+ "ㄍㄜ2"
+ ],
+ "𨏛": [
+ "ㄖㄤ3",
+ "ㄋㄧㄢ3"
+ ],
+ "𨏞": [
+ "ㄆㄧㄣ2"
+ ],
+ "𨏠": [
+ "ㄌㄨㄥ2"
+ ],
+ "𨏤": [
+ "ㄓㄣ3"
+ ],
+ "𨏥": [
+ "ㄒㄧㄢ4"
+ ],
+ "𨏨": [
+ "ㄌㄧㄣ4"
+ ],
+ "𨏩": [
+ "ㄌㄧㄢ2"
+ ],
+ "𨏪": [
+ "ㄕㄢ1"
+ ],
+ "𨏫": [
+ "ㄅㄛ2"
+ ],
+ "𨏬": [
+ "ㄌㄧ4"
+ ],
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+ "ㄒㄧㄝ2"
+ ],
+ "𨏴": [
+ "ㄍㄜ2"
+ ],
+ "𨏵": [
+ "ㄇㄧㄣ3"
+ ],
+ "𨏶": [
+ "ㄌㄧㄢ2"
+ ],
+ "𨏹": [
+ "ㄐㄩㄝ2"
+ ],
+ "𨏺": [
+ "ㄓㄡ1"
+ ],
+ "𨏿": [
+ "ㄎㄜ1"
+ ],
+ "𨐁": [
+ "ㄉㄧㄝ2"
+ ],
+ "𨐃": [
+ "ㄓㄜ2"
+ ],
+ "𨐅": [
+ "ㄕㄨ1"
+ ],
+ "𨐆": [
+ "ㄐㄧ1"
+ ],
+ "𨐇": [
+ "ㄌㄨㄥ2"
+ ],
+ "𨐈": [
+ "ㄍㄨㄤ1"
+ ],
+ "𨐉": [
+ "ㄗㄠ3"
+ ],
+ "𨐊": [
+ "ㄒㄧㄢ4"
+ ],
+ "𨐋": [
+ "ㄑㄧㄢ1"
+ ],
+ "𨐍": [
+ "ㄕㄣ1"
+ ],
+ "𨐐": [
+ "ㄧㄣ3"
+ ],
+ "𨐑": [
+ "ㄐㄧㄝ4"
+ ],
+ "𨐔": [
+ "ㄕㄣ1"
+ ],
+ "𨐕": [
+ "ㄕㄣ1",
+ "ㄘ2"
+ ],
+ "𨐖": [
+ "ㄙㄚ3"
+ ],
+ "𨐛": [
+ "ㄒㄧ4"
+ ],
+ "𨐡": [
+ "ㄎㄨ4"
+ ],
+ "𨐣": [
+ "ㄑㄩ2"
+ ],
+ "𨐥": [
+ "ㄍㄜ2"
+ ],
+ "𨐦": [
+ "ㄅㄢ4"
+ ],
+ "𨐨": [
+ "ㄅㄧ4"
+ ],
+ "𨐩": [
+ "ㄑㄧㄢ1"
+ ],
+ "𨐰": [
+ "ㄅㄧㄣ1"
+ ],
+ "𨐱": [
+ "ㄅㄢ4"
+ ],
+ "𨐳": [
+ "ㄗㄨㄛ4"
+ ],
+ "𨐴": [
+ "ㄆㄧ4"
+ ],
+ "𨐶": [
+ "ㄏㄨㄛ4"
+ ],
+ "𨐾": [
+ "ㄅㄢ4",
+ "ㄅㄧㄢ4"
+ ],
+ "𨑊": [
+ "ㄋㄨㄥ2"
+ ],
+ "𨑌": [
+ "ㄔㄣ2"
+ ],
+ "𨑎": [
+ "ㄆㄥ1"
+ ],
+ "𨑑": [
+ "ㄈㄨ3"
+ ],
+ "𨑒": [
+ "ㄊㄨ2"
+ ],
+ "𨑜": [
+ "ㄆㄧ3"
+ ],
+ "𨑝": [
+ "ㄆㄛ4"
+ ],
+ "𨑠": [
+ "ㄔ3"
+ ],
+ "𨑣": [
+ "ㄒㄩㄝ4"
+ ],
+ "𨑤": [
+ "ㄑㄧ4"
+ ],
+ "𨑥": [
+ "ㄨ4"
+ ],
+ "𨑨": [
+ "ㄓ4"
+ ],
+ "𨑩": [
+ "ㄉㄧ4"
+ ],
+ "𨑪": [
+ "ㄘㄨㄥ1"
+ ],
+ "𨑫": [
+ "ㄧㄡ2"
+ ],
+ "𨑹": [
+ "ㄘㄨㄥ1"
+ ],
+ "𨑼": [
+ "ㄉㄧ4"
+ ],
+ "𨑽": [
+ "ㄓㄨㄛ2"
+ ],
+ "𨑿": [
+ "ㄗㄡ3"
+ ],
+ "𨒀": [
+ "ㄘㄨㄥ2"
+ ],
+ "𨒃": [
+ "ㄆㄢ4"
+ ],
+ "𨒄": [
+ "ㄧㄢ3"
+ ],
+ "𨒅": [
+ "ㄑㄧ4"
+ ],
+ "𨒆": [
+ "ㄖㄨㄥ3"
+ ],
+ "𨒇": [
+ "ㄐㄧㄚ2"
+ ],
+ "𨒉": [
+ "ㄓ4",
+ "ㄓㄨㄟ4",
+ "ㄙㄨㄟ4"
+ ],
+ "𨒊": [
+ "ㄑㄧㄡ2"
+ ],
+ "𨒋": [
+ "ㄩㄝ4"
+ ],
+ "𨒍": [
+ "ㄕ4"
+ ],
+ "𨒑": [
+ "ㄏㄠ2"
+ ],
+ "𨒙": [
+ "ㄊㄨㄛ1",
+ "ㄏㄡ4"
+ ],
+ "𨒜": [
+ "ㄅㄧㄝ2"
+ ],
+ "𨒞": [
+ "ㄎㄢ4"
+ ],
+ "𨒢": [
+ "ㄔㄨㄛ4"
+ ],
+ "𨒤": [
+ "ㄘ3"
+ ],
+ "𨒦": [
+ "ㄧㄣ3"
+ ],
+ "𨒧": [
+ "ㄕ4"
+ ],
+ "𨒨": [
+ "ㄏㄞ4"
+ ],
+ "𨒩": [
+ "ㄖㄨㄢ3"
+ ],
+ "𨒫": [
+ "ㄧㄤ2",
+ "ㄋㄧ4"
+ ],
+ "𨒬": [
+ "ㄔ1"
+ ],
+ "𨒮": [
+ "ㄘ1"
+ ],
+ "𨒱": [
+ "ㄍㄨㄥ1"
+ ],
+ "𨒲": [
+ "ㄇㄧ2",
+ "ㄒㄩㄝ4"
+ ],
+ "𨒴": [
+ "ㄐㄧ3"
+ ],
+ "𨒼": [
+ "ㄍㄣ4"
+ ],
+ "𨒽": [
+ "ㄗㄠ4",
+ "ㄙㄨㄛ1"
+ ],
+ "𨓁": [
+ "ㄅㄥ3"
+ ],
+ "𨓇": [
+ "ㄒㄧㄣ3"
+ ],
+ "𨓈": [
+ "ㄎㄨㄛ4"
+ ],
+ "𨓊": [
+ "ㄉㄧㄝ2"
+ ],
+ "𨓍": [
+ "ㄊㄧㄥ2"
+ ],
+ "𨓚": [
+ "ㄕㄨㄟ4"
+ ],
+ "𨓞": [
+ "ㄉㄞ4"
+ ],
+ "𨓦": [
+ "ㄌㄧ3"
+ ],
+ "𨓨": [
+ "ㄩㄥ3"
+ ],
+ "𨓩": [
+ "ㄐㄧㄠ1"
+ ],
+ "𨓬": [
+ "ㄊㄚ2"
+ ],
+ "𨓭": [
+ "ㄑㄩ3",
+ "ㄘㄡ4"
+ ],
+ "𨓮": [
+ "ㄧㄣ2"
+ ],
+ "𨓯": [
+ "ㄩㄢ1"
+ ],
+ "𨓰": [
+ "ㄐㄧㄝ2"
+ ],
+ "𨓲": [
+ "ㄑㄧㄢ1"
+ ],
+ "𨓳": [
+ "ㄧㄠ1"
+ ],
+ "𨓴": [
+ "ㄧㄚ4"
+ ],
+ "𨓷": [
+ "ㄑㄧㄥ1"
+ ],
+ "𨓿": [
+ "ㄆㄟ2"
+ ],
+ "𨔗": [
+ "ㄐㄧㄚ1"
+ ],
+ "𨔙": [
+ "ㄊㄡ4"
+ ],
+ "𨔛": [
+ "ㄊㄧ1"
+ ],
+ "𨔡": [
+ "ㄉㄨㄣ4",
+ "ㄊㄨㄣ2",
+ "ㄔㄨㄢ4",
+ "ㄔㄨㄢ2"
+ ],
+ "𨔢": [
+ "ㄔㄢ3"
+ ],
+ "𨔣": [
+ "ㄐㄧㄚ1",
+ "ㄐㄧㄚ4"
+ ],
+ "𨔤": [
+ "ㄔ4"
+ ],
+ "𨔥": [
+ "ㄐㄧㄢ1",
+ "ㄐㄧㄣ1"
+ ],
+ "𨔦": [
+ "ㄕㄨ4"
+ ],
+ "𨔯": [
+ "ㄊㄚ4"
+ ],
+ "𨕕": [
+ "ㄓ1"
+ ],
+ "𨕗": [
+ "ㄩㄢ2"
+ ],
+ "𨕚": [
+ "ㄏㄨ1"
+ ],
+ "𨕜": [
+ "ㄌㄧㄝ4"
+ ],
+ "𨕠": [
+ "ㄗㄜ2"
+ ],
+ "𨕢": [
+ "ㄔㄨ4"
+ ],
+ "𨕦": [
+ "ㄑㄧㄡ4"
+ ],
+ "𨕧": [
+ "ㄅㄥ1"
+ ],
+ "𨕹": [
+ "ㄏㄨㄢ2"
+ ],
+ "𨕺": [
+ "ㄎㄨㄚ1"
+ ],
+ "𨕻": [
+ "ㄕㄥ1"
+ ],
+ "𨕽": [
+ "ㄐㄧㄝ2"
+ ],
+ "𨕿": [
+ "ㄨㄤ3"
+ ],
+ "𨖃": [
+ "ㄏㄨ1"
+ ],
+ "𨖊": [
+ "ㄗㄜ2",
+ "ㄐㄧ1"
+ ],
+ "𨖋": [
+ "ㄗㄢ3",
+ "ㄓ4"
+ ],
+ "𨖌": [
+ "ㄧㄤ4"
+ ],
+ "𨖎": [
+ "ㄔ3"
+ ],
+ "𨖏": [
+ "ㄐㄧㄡ4"
+ ],
+ "𨖚": [
+ "ㄌㄧㄠ2"
+ ],
+ "𨖛": [
+ "ㄩ1"
+ ],
+ "𨖠": [
+ "ㄅㄧㄢ3",
+ "ㄅㄧㄢ4"
+ ],
+ "𨖢": [
+ "ㄎㄨㄤ2"
+ ],
+ "𨖬": [
+ "ㄔㄡ4"
+ ],
+ "𨖭": [
+ "ㄧㄚ2"
+ ],
+ "𨖮": [
+ "ㄓㄨㄛ2"
+ ],
+ "𨖰": [
+ "ㄑㄧㄝ4"
+ ],
+ "𨖱": [
+ "ㄒㄧㄢ4"
+ ],
+ "𨖳": [
+ "ㄩㄢ1"
+ ],
+ "𨖴": [
+ "ㄨ3"
+ ],
+ "𨖵": [
+ "ㄐㄧㄠ3"
+ ],
+ "𨖶": [
+ "ㄒㄧㄤ4"
+ ],
+ "𨖷": [
+ "ㄕㄚ4"
+ ],
+ "𨖹": [
+ "ㄓ4"
+ ],
+ "𨖼": [
+ "ㄔㄨㄥ4"
+ ],
+ "𨖾": [
+ "ㄅㄧㄢ1"
+ ],
+ "𨖿": [
+ "ㄨㄟ1"
+ ],
+ "𨗓": [
+ "ㄉㄠ4"
+ ],
+ "𨗝": [
+ "ㄩ4",
+ "ㄐㄩ2"
+ ],
+ "𨗞": [
+ "ㄊㄨㄟ2"
+ ],
+ "𨗡": [
+ "ㄔㄠ4"
+ ],
+ "𨗥": [
+ "ㄏㄨㄟ4"
+ ],
+ "𨗦": [
+ "ㄑㄧㄢ3"
+ ],
+ "𨗨": [
+ "ㄨㄟ3"
+ ],
+ "𨗰": [
+ "ㄧㄡ2"
+ ],
+ "𨗼": [
+ "ㄉㄧ4",
+ "ㄉㄞ4"
+ ],
+ "𨗾": [
+ "ㄉㄚ4"
+ ],
+ "𨘁": [
+ "ㄧㄡ2"
+ ],
+ "𨘂": [
+ "ㄐㄧㄡ4"
+ ],
+ "𨘃": [
+ "ㄊㄨㄟ2"
+ ],
+ "𨘄": [
+ "ㄗㄢ3"
+ ],
+ "𨘇": [
+ "ㄏㄨㄟ4"
+ ],
+ "𨘉": [
+ "ㄕㄚ4"
+ ],
+ "𨘌": [
+ "ㄏㄨㄛ4"
+ ],
+ "𨘔": [
+ "ㄧㄠ2"
+ ],
+ "𨘙": [
+ "ㄒㄧㄢ4"
+ ],
+ "𨘞": [
+ "ㄒㄧㄢ4"
+ ],
+ "𨘬": [
+ "ㄉㄧ4"
+ ],
+ "𨘮": [
+ "ㄐㄧㄡ4"
+ ],
+ "𨘲": [
+ "ㄏㄨㄟ4"
+ ],
+ "𨘴": [
+ "ㄎㄠ4"
+ ],
+ "𨘵": [
+ "ㄧㄡ2"
+ ],
+ "𨘸": [
+ "ㄌㄧ4"
+ ],
+ "𨘼": [
+ "ㄔㄨㄢ2"
+ ],
+ "𨘾": [
+ "ㄔ2"
+ ],
+ "𨙀": [
+ "ㄏㄨㄛ4"
+ ],
+ "𨙂": [
+ "ㄧㄡ2"
+ ],
+ "𨙄": [
+ "ㄩㄝ4"
+ ],
+ "𨙎": [
+ "ㄊㄚ4"
+ ],
+ "𨙏": [
+ "ㄗㄢ4"
+ ],
+ "𨙓": [
+ "ㄋㄧㄝ4"
+ ],
+ "𨙔": [
+ "ㄓㄨ4"
+ ],
+ "𨙡": [
+ "ㄒㄧㄢ3"
+ ],
+ "𨙩": [
+ "ㄕ2"
+ ],
+ "𨙫": [
+ "ㄎㄡ3"
+ ],
+ "𨙬": [
+ "ㄑㄧ3"
+ ],
+ "𨙭": [
+ "ㄊㄨ3"
+ ],
+ "𨙮": [
+ "ㄈㄢ2"
+ ],
+ "𨙯": [
+ "ㄘㄨㄣ1"
+ ],
+ "𨙲": [
+ "ㄊㄨㄣ2",
+ "ㄘㄨㄣ1"
+ ],
+ "𨙳": [
+ "ㄔㄚ1"
+ ],
+ "𨙴": [
+ "ㄘㄞ2",
+ "ㄗㄞ4"
+ ],
+ "𨙵": [
+ "ㄒㄧㄤ4"
+ ],
+ "𨙶": [
+ "ㄆㄟ4"
+ ],
+ "𨙷": [
+ "ㄐㄧㄥ3"
+ ],
+ "𨙸": [
+ "ㄑㄧ2",
+ "ㄓ1"
+ ],
+ "𨙹": [
+ "ㄕㄠ3"
+ ],
+ "𨙺": [
+ "ㄋㄧㄡ3"
+ ],
+ "𨙻": [
+ "ㄋㄚ4"
+ ],
+ "𨙽": [
+ "ㄑㄧㄣ2"
+ ],
+ "𨚍": [
+ "ㄅㄧ4",
+ "ㄅㄟ4"
+ ],
+ "𨚓": [
+ "ㄅㄧ4",
+ "ㄈㄟ4",
+ "ㄈㄨ2"
+ ],
+ "𨚔": [
+ "ㄅㄠ1"
+ ],
+ "𨚕": [
+ "ㄅㄧㄢ4"
+ ],
+ "𨚖": [
+ "ㄗ1"
+ ],
+ "𨚗": [
+ "ㄋㄚ4"
+ ],
+ "𨚘": [
+ "ㄨㄟ4"
+ ],
+ "𨚙": [
+ "ㄏㄠ2"
+ ],
+ "𨚡": [
+ "ㄐㄧㄣ3"
+ ],
+ "𨚣": [
+ "ㄓㄥ4"
+ ],
+ "𨚧": [
+ "ㄑㄧㄝ2"
+ ],
+ "𨚮": [
+ "ㄏㄠ4"
+ ],
+ "𨚯": [
+ "ㄊㄨㄥ2"
+ ],
+ "𨚰": [
+ "ㄗㄠ3"
+ ],
+ "𨚱": [
+ "ㄕㄥ4"
+ ],
+ "𨚲": [
+ "ㄘㄨㄣ2"
+ ],
+ "𨚳": [
+ "ㄏㄨㄤ1"
+ ],
+ "𨚴": [
+ "ㄖㄨ2"
+ ],
+ "𨚵": [
+ "ㄗㄞ4"
+ ],
+ "𨚶": [
+ "ㄋㄧㄢ2"
+ ],
+ "𨚾": [
+ "ㄒㄧㄢ1"
+ ],
+ "𨛈": [
+ "ㄑㄩㄢ2"
+ ],
+ "𨛉": [
+ "ㄐㄧ4"
+ ],
+ "𨛊": [
+ "ㄧㄣ2"
+ ],
+ "𨛋": [
+ "ㄌㄧ3"
+ ],
+ "𨛌": [
+ "ㄇㄤ2"
+ ],
+ "𨛍": [
+ "ㄕㄠ4"
+ ],
+ "𨛎": [
+ "ㄏㄢ4"
+ ],
+ "𨛏": [
+ "ㄘㄨㄛ4"
+ ],
+ "𨛐": [
+ "ㄐㄩㄣ4"
+ ],
+ "𨛑": [
+ "ㄐㄧ4"
+ ],
+ "𨛒": [
+ "ㄅㄨ4"
+ ],
+ "𨛓": [
+ "ㄌㄨㄥ4"
+ ],
+ "𨛔": [
+ "ㄈㄡ3"
+ ],
+ "𨛕": [
+ "ㄧㄡ2"
+ ],
+ "𨛖": [
+ "ㄎㄨㄞ4"
+ ],
+ "𨛜": [
+ "ㄒㄧㄤ4"
+ ],
+ "𨛡": [
+ "ㄩㄣ2"
+ ],
+ "𨛣": [
+ "ㄑㄧㄣ2"
+ ],
+ "𨛤": [
+ "ㄏㄨㄟ2"
+ ],
+ "𨛥": [
+ "ㄆㄨ2"
+ ],
+ "𨛫": [
+ "ㄌㄧ2"
+ ],
+ "𨛬": [
+ "ㄆㄟ2"
+ ],
+ "𨛭": [
+ "ㄕㄨ1",
+ "ㄕㄜ4"
+ ],
+ "𨛮": [
+ "ㄐㄩ1"
+ ],
+ "𨛯": [
+ "ㄧ2"
+ ],
+ "𨛰": [
+ "ㄓㄥ1"
+ ],
+ "𨛱": [
+ "ㄔㄨㄥ2"
+ ],
+ "𨛳": [
+ "ㄒㄧ2",
+ "ㄐㄧ2"
+ ],
+ "𨛵": [
+ "ㄏㄨ3"
+ ],
+ "𨛶": [
+ "ㄖㄡ2",
+ "ㄕㄡ4"
+ ],
+ "𨜌": [
+ "ㄏㄨㄢ4"
+ ],
+ "𨜍": [
+ "ㄑㄧㄠ4"
+ ],
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+ "ㄓ1"
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+ ],
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+ "𨜒": [
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+ "ㄩ2"
+ ],
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+ "ㄗㄡ1"
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+ "ㄇㄟ2"
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+ "ㄕㄥ3"
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+ "ㄑㄩㄢ2"
+ ],
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+ "ㄏㄜ2"
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+ ],
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+ "ㄏㄜ2"
+ ],
+ "𨜵": [
+ "ㄨㄣ1"
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+ "𨜶": [
+ "ㄧ4"
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+ "ㄆㄤ2"
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+ "ㄨㄥ1"
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+ "ㄑㄧㄢ2"
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+ "ㄧ2"
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+ "ㄒㄩ4"
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+ "ㄨㄟ3"
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+ "ㄍㄜ1"
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+ "ㄩ3"
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+ "𨝋": [
+ "ㄓㄞ4"
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+ "ㄍㄢ1"
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+ "ㄑㄧㄢ1"
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+ "ㄎㄤ1"
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+ "ㄌㄧ2"
+ ],
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+ "ㄕㄣ1"
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+ "ㄍㄨㄢ4"
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+ "ㄆㄧㄠ2"
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+ "ㄌㄧ2"
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+ "ㄏㄨ3"
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+ "ㄊㄨ2"
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+ "ㄏㄨ4"
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+ "ㄌㄧ2"
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+ "ㄌㄡ4"
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+ "ㄉㄤ4"
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+ "ㄗㄨㄛ4"
+ ],
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+ "ㄕㄢ1"
+ ],
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+ "ㄕㄜ4",
+ "ㄒㄧ4"
+ ],
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+ "ㄈㄥ2"
+ ],
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+ "ㄐㄩ4",
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+ ],
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+ "ㄊㄨㄥ2"
+ ],
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+ "ㄐㄧㄠ3"
+ ],
+ "𨝱": [
+ "ㄑㄧㄠ2"
+ ],
+ "𨝲": [
+ "ㄍㄠ1",
+ "ㄏㄠ4"
+ ],
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+ "ㄗ1"
+ ],
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+ "ㄏㄨㄤ2"
+ ],
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+ "ㄕㄢ1"
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+ "ㄊㄢ2"
+ ],
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+ "ㄊㄨㄛ1"
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+ "ㄌㄧㄥ4"
+ ],
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+ "ㄔㄥ2"
+ ],
+ "𨞑": [
+ "ㄨㄥ4"
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+ "ㄗㄨㄛ2"
+ ],
+ "𨞓": [
+ "ㄩ4"
+ ],
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+ "ㄓㄨ2",
+ "ㄔㄨ4"
+ ],
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+ "ㄑㄩㄣ2"
+ ],
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+ "ㄒㄧ3"
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+ "ㄑㄩ2"
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+ "ㄍㄜ2"
+ ],
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+ "ㄑㄧ1"
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+ "ㄒㄩ1"
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+ "ㄍㄞ4"
+ ],
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+ "ㄑㄩㄝ4"
+ ],
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+ "ㄔㄡ2",
+ "ㄕㄡ4"
+ ],
+ "𨞫": [
+ "ㄇㄥ2"
+ ],
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+ "ㄕㄣ1"
+ ],
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+ "ㄑㄩ2"
+ ],
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+ "ㄑㄧㄠ1"
+ ],
+ "𨞷": [
+ "ㄘㄢ2"
+ ],
+ "𨞺": [
+ "ㄌㄧ4"
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+ "ㄨㄢ4"
+ ],
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+ "ㄌㄟ2"
+ ],
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+ "ㄒㄧㄥ1"
+ ],
+ "𨞿": [
+ "ㄌㄤ2"
+ ],
+ "𨟂": [
+ "ㄕ4"
+ ],
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+ "ㄓㄥ1"
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+ "𨟄": [
+ "ㄈㄢ2"
+ ],
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+ "ㄓ4"
+ ],
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+ "ㄧㄣ2"
+ ],
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+ "ㄌㄧ4"
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+ "ㄇㄛ2"
+ ],
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+ "ㄨㄟ3"
+ ],
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+ "ㄧㄥ1"
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+ "ㄖㄤ2"
+ ],
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+ "ㄑㄩㄢ1",
+ "ㄑㄩㄝ4",
+ "ㄐㄩㄝ2"
+ ],
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+ "ㄌㄨㄛ3"
+ ],
+ "𨟲": [
+ "ㄉㄞ4"
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+ "𨟴": [
+ "ㄧㄣ4"
+ ],
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+ "ㄅㄧ3"
+ ],
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+ "ㄍㄜ1"
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+ "ㄨㄣ4"
+ ],
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+ "ㄧㄢ3"
+ ],
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+ "ㄇㄧㄢ3"
+ ],
+ "𨟼": [
+ "ㄍㄤ3"
+ ],
+ "𨟽": [
+ "ㄑㄧㄡ2"
+ ],
+ "𨟾": [
+ "ㄓ1"
+ ],
+ "𨠋": [
+ "ㄍㄨ1"
+ ],
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+ "ㄊㄨㄥ2"
+ ],
+ "𨠎": [
+ "ㄌㄧㄥ2"
+ ],
+ "𨠏": [
+ "ㄊㄧ2"
+ ],
+ "𨠐": [
+ "ㄘ2"
+ ],
+ "𨠑": [
+ "ㄧ2",
+ "ㄊㄨㄛ2"
+ ],
+ "𨠒": [
+ "ㄈㄢ4"
+ ],
+ "𨠓": [
+ "ㄆㄛ1"
+ ],
+ "𨠔": [
+ "ㄅㄧ4"
+ ],
+ "𨠖": [
+ "ㄅㄠ4"
+ ],
+ "𨠟": [
+ "ㄆㄥ1"
+ ],
+ "𨠡": [
+ "ㄙㄨㄢ1"
+ ],
+ "𨠤": [
+ "ㄙㄨㄥ1",
+ "ㄋㄨㄥ2"
+ ],
+ "𨠥": [
+ "ㄨㄟ2"
+ ],
+ "𨠦": [
+ "ㄒㄧㄠ2"
+ ],
+ "𨠬": [
+ "ㄏㄠ4"
+ ],
+ "𨠭": [
+ "ㄧㄢ3"
+ ],
+ "𨠶": [
+ "ㄧ2"
+ ],
+ "𨠷": [
+ "ㄗㄠ1"
+ ],
+ "𨠸": [
+ "ㄧㄥ3"
+ ],
+ "𨠹": [
+ "ㄋㄢ3"
+ ],
+ "𨠿": [
+ "ㄗㄚ1"
+ ],
+ "𨡁": [
+ "ㄊㄧㄢ3"
+ ],
+ "𨡂": [
+ "ㄒㄧ1"
+ ],
+ "𨡃": [
+ "ㄐㄧㄠ4"
+ ],
+ "𨡄": [
+ "ㄧㄢ2"
+ ],
+ "𨡌": [
+ "ㄋㄟ2"
+ ],
+ "𨡍": [
+ "ㄊㄢ3"
+ ],
+ "𨡎": [
+ "ㄧㄢ4"
+ ],
+ "𨡏": [
+ "ㄊㄧㄢ3"
+ ],
+ "𨡐": [
+ "ㄓ4"
+ ],
+ "𨡑": [
+ "ㄔㄡ1",
+ "ㄔㄡ2"
+ ],
+ "𨡒": [
+ "ㄊㄠ2"
+ ],
+ "𨡗": [
+ "ㄓㄚ4"
+ ],
+ "𨡞": [
+ "ㄇㄧㄢ3"
+ ],
+ "𨡡": [
+ "ㄨ3"
+ ],
+ "𨡢": [
+ "ㄧㄣ3"
+ ],
+ "𨡣": [
+ "ㄧㄢ4"
+ ],
+ "𨡤": [
+ "ㄌㄠ3"
+ ],
+ "𨡩": [
+ "ㄆㄛ1"
+ ],
+ "𨡫": [
+ "ㄏㄨㄣ4"
+ ],
+ "𨡬": [
+ "ㄏㄞ3"
+ ],
+ "𨡭": [
+ "ㄇㄨ2"
+ ],
+ "𨡮": [
+ "ㄘㄨㄥ1"
+ ],
+ "𨡱": [
+ "ㄎㄨ4",
+ "ㄉㄧㄥ3"
+ ],
+ "𨡲": [
+ "ㄔㄡ1"
+ ],
+ "𨡴": [
+ "ㄧㄡ3"
+ ],
+ "𨡸": [
+ "ㄓㄨㄛ2"
+ ],
+ "𨡻": [
+ "ㄙㄡ1"
+ ],
+ "𨢂": [
+ "ㄧㄣ4"
+ ],
+ "𨢅": [
+ "ㄗㄨㄟ4"
+ ],
+ "𨢆": [
+ "ㄙㄤ1"
+ ],
+ "𨢇": [
+ "ㄌㄧㄡ4"
+ ],
+ "𨢈": [
+ "ㄏㄢ4"
+ ],
+ "𨢉": [
+ "ㄨㄟ4"
+ ],
+ "𨢊": [
+ "ㄇㄥ2"
+ ],
+ "𨢋": [
+ "ㄏㄨ2"
+ ],
+ "𨢌": [
+ "ㄌㄧ4"
+ ],
+ "𨢎": [
+ "ㄇㄧ4",
+ "ㄧㄣ1"
+ ],
+ "𨢐": [
+ "ㄅㄤ1"
+ ],
+ "𨢑": [
+ "ㄐㄧㄢ3"
+ ],
+ "𨢜": [
+ "ㄑㄩㄝ4"
+ ],
+ "𨢠": [
+ "ㄇㄥ2"
+ ],
+ "𨢢": [
+ "ㄇㄨ2"
+ ],
+ "𨢣": [
+ "ㄏㄨㄥ3"
+ ],
+ "𨢤": [
+ "ㄏㄨ4"
+ ],
+ "𨢥": [
+ "ㄇㄧ2"
+ ],
+ "𨢦": [
+ "ㄕㄞ4",
+ "ㄓㄚ4"
+ ],
+ "𨢩": [
+ "ㄕㄤ1"
+ ],
+ "𨢪": [
+ "ㄔㄠ4"
+ ],
+ "𨢬": [
+ "ㄓㄨㄛ2",
+ "ㄊㄨ2"
+ ],
+ "𨢮": [
+ "ㄓ1"
+ ],
+ "𨢯": [
+ "ㄋㄧㄢ4"
+ ],
+ "𨢵": [
+ "ㄐㄧ4"
+ ],
+ "𨢸": [
+ "ㄎㄜ1"
+ ],
+ "𨢹": [
+ "ㄓㄥ1"
+ ],
+ "𨢿": [
+ "ㄉㄢ1"
+ ],
+ "𨣀": [
+ "ㄌㄧㄠ3"
+ ],
+ "𨣁": [
+ "ㄓㄢ3"
+ ],
+ "𨣂": [
+ "ㄍㄨㄥ3"
+ ],
+ "𨣃": [
+ "ㄌㄠ2",
+ "ㄌㄠ4"
+ ],
+ "𨣄": [
+ "ㄏㄨㄚ1"
+ ],
+ "𨣅": [
+ "ㄔㄨㄞ4"
+ ],
+ "𨣇": [
+ "ㄐㄧㄢ3"
+ ],
+ "𨣈": [
+ "ㄎㄨㄟ4"
+ ],
+ "𨣍": [
+ "ㄕㄜ1"
+ ],
+ "𨣔": [
+ "ㄔㄣ3"
+ ],
+ "𨣕": [
+ "ㄊㄢ3"
+ ],
+ "𨣗": [
+ "ㄏㄨ2"
+ ],
+ "𨣘": [
+ "ㄇㄥ2"
+ ],
+ "𨣙": [
+ "ㄆㄠ4"
+ ],
+ "𨣚": [
+ "ㄓㄢ3"
+ ],
+ "𨣛": [
+ "ㄔㄤ2"
+ ],
+ "𨣝": [
+ "ㄍㄢ3",
+ "ㄐㄧㄢ3"
+ ],
+ "𨣠": [
+ "ㄧ4"
+ ],
+ "𨣢": [
+ "ㄙㄨㄟ4"
+ ],
+ "𨣦": [
+ "ㄒㄩ4"
+ ],
+ "𨣧": [
+ "ㄐㄧ4"
+ ],
+ "𨣨": [
+ "ㄌㄢ4"
+ ],
+ "𨣬": [
+ "ㄧ2"
+ ],
+ "𨣯": [
+ "ㄇㄧ4"
+ ],
+ "𨣱": [
+ "ㄇㄧㄝ4"
+ ],
+ "𨣵": [
+ "ㄘㄨㄢ2"
+ ],
+ "𨣸": [
+ "ㄌㄢ3"
+ ],
+ "𨣻": [
+ "ㄧㄢ1",
+ "ㄧㄢ3"
+ ],
+ "𨣾": [
+ "ㄇㄧ2"
+ ],
+ "𨤂": [
+ "ㄩㄥ3"
+ ],
+ "𨤃": [
+ "ㄘㄤ2",
+ "ㄗㄚ1"
+ ],
+ "𨤄": [
+ "ㄐㄧㄢ3"
+ ],
+ "𨤇": [
+ "ㄙㄡ1",
+ "ㄗㄠ1"
+ ],
+ "𨤎": [
+ "ㄧㄢ2"
+ ],
+ "𨤑": [
+ "ㄐㄩㄢ4"
+ ],
+ "𨤕": [
+ "ㄜ4"
+ ],
+ "𨤘": [
+ "ㄈㄣ4"
+ ],
+ "𨤚": [
+ "ㄈㄣ4"
+ ],
+ "𨤡": [
+ "ㄍㄨㄤ4"
+ ],
+ "𨤢": [
+ "ㄇㄞ2"
+ ],
+ "𨤤": [
+ "ㄌㄧㄝ3"
+ ],
+ "𨤩": [
+ "ㄔㄨㄥ1"
+ ],
+ "𨤫": [
+ "ㄌㄧ2"
+ ],
+ "𨤱": [
+ "ㄓ2"
+ ],
+ "𨤴": [
+ "ㄒㄧㄝ4"
+ ],
+ "𨤷": [
+ "ㄔㄡ2"
+ ],
+ "𨤹": [
+ "ㄐㄧ2"
+ ],
+ "𨤽": [
+ "ㄆㄧ1"
+ ],
+ "𨥂": [
+ "ㄐㄧㄝ2"
+ ],
+ "𨥇": [
+ "ㄓㄡ3",
+ "ㄓㄨ4"
+ ],
+ "𨥍": [
+ "ㄒㄩㄥ1"
+ ],
+ "𨥑": [
+ "ㄎㄨㄤ4",
+ "ㄍㄨㄥ3"
+ ],
+ "𨥙": [
+ "ㄐㄧㄥ3"
+ ],
+ "𨥛": [
+ "ㄏㄨ4"
+ ],
+ "𨥞": [
+ "ㄑㄧㄢ2"
+ ],
+ "𨥣": [
+ "ㄘㄣ2"
+ ],
+ "𨥦": [
+ "ㄑㄧ2"
+ ],
+ "𨥧": [
+ "ㄨㄢ3",
+ "ㄈㄢ4",
+ "ㄅㄧㄢ1"
+ ],
+ "𨥨": [
+ "ㄇㄠ2"
+ ],
+ "𨥪": [
+ "ㄉㄡ3"
+ ],
+ "𨥴": [
+ "ㄎㄡ3"
+ ],
+ "𨥶": [
+ "ㄉㄞ4"
+ ],
+ "𨥸": [
+ "ㄋㄠ2"
+ ],
+ "𨥺": [
+ "ㄏㄨㄥ2"
+ ],
+ "𨦂": [
+ "ㄌㄞ3"
+ ],
+ "𨦃": [
+ "ㄉㄨㄛ3",
+ "ㄉㄨㄛ4"
+ ],
+ "𨦄": [
+ "ㄑㄧㄢ1"
+ ],
+ "𨦆": [
+ "ㄧㄣ2"
+ ],
+ "𨦖": [
+ "ㄌㄡ4"
+ ],
+ "𨦗": [
+ "ㄏㄨㄟ1"
+ ],
+ "𨦛": [
+ "ㄈㄨ4"
+ ],
+ "𨦜": [
+ "ㄇㄠ2"
+ ],
+ "𨦞": [
+ "ㄓㄡ1"
+ ],
+ "𨦡": [
+ "ㄩㄥ2",
+ "ㄧㄤ2"
+ ],
+ "𨦭": [
+ "ㄌㄠ2"
+ ],
+ "𨦮": [
+ "ㄐㄧ2"
+ ],
+ "𨦯": [
+ "ㄧ4"
+ ],
+ "𨦰": [
+ "ㄌㄧㄡ2"
+ ],
+ "𨦱": [
+ "ㄘㄨㄥ1"
+ ],
+ "𨦳": [
+ "ㄋㄢ3"
+ ],
+ "𨧀": [
+ "ㄉㄨ4"
+ ],
+ "𨧐": [
+ "ㄊㄨㄣ1"
+ ],
+ "𨧑": [
+ "ㄒㄧㄤ4"
+ ],
+ "𨧕": [
+ "ㄅㄧㄢ4"
+ ],
+ "𨧖": [
+ "ㄔㄨㄤ2"
+ ],
+ "𨧗": [
+ "ㄨ4"
+ ],
+ "𨧙": [
+ "ㄐㄩ1"
+ ],
+ "𨧥": [
+ "ㄒㄧㄝ1"
+ ],
+ "𨧦": [
+ "ㄆㄧ1"
+ ],
+ "𨧧": [
+ "ㄓㄨㄛ2"
+ ],
+ "𨧨": [
+ "ㄖㄨㄟ4",
+ "ㄓㄨㄟ4"
+ ],
+ "𨧪": [
+ "ㄙㄠ4"
+ ],
+ "𨧫": [
+ "ㄗ4"
+ ],
+ "𨧭": [
+ "ㄓㄥ4"
+ ],
+ "𨧰": [
+ "ㄗㄨ2"
+ ],
+ "𨧱": [
+ "ㄑㄩ1"
+ ],
+ "𨧳": [
+ "ㄔ4"
+ ],
+ "𨧵": [
+ "ㄓ4"
+ ],
+ "𨨏": [
+ "ㄅㄛ1"
+ ],
+ "𨨗": [
+ "ㄑㄩㄢ4"
+ ],
+ "𨨘": [
+ "ㄑㄧㄢ1"
+ ],
+ "𨨙": [
+ "ㄧㄚ1"
+ ],
+ "𨨚": [
+ "ㄔㄠ4"
+ ],
+ "𨨛": [
+ "ㄏㄜ2"
+ ],
+ "𨨜": [
+ "ㄖㄨ3"
+ ],
+ "𨨠": [
+ "ㄐㄩ1"
+ ],
+ "𨨡": [
+ "ㄨ4"
+ ],
+ "𨨬": [
+ "ㄔ4"
+ ],
+ "𨨭": [
+ "ㄎㄨㄤ4",
+ "ㄍㄨㄥ3"
+ ],
+ "𨨯": [
+ "ㄘㄡ4",
+ "ㄓㄡ4"
+ ],
+ "𨨰": [
+ "ㄖㄨㄢ4"
+ ],
+ "𨨱": [
+ "ㄎㄨㄛ4"
+ ],
+ "𨨲": [
+ "ㄔ2"
+ ],
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+ "ㄗㄨ2"
+ ],
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+ "ㄐㄧㄠ1"
+ ],
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+ "ㄩ2"
+ ],
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+ "ㄊㄨ2"
+ ],
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+ "ㄇㄥ2"
+ ],
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+ "ㄉㄚ1"
+ ],
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+ "ㄕㄨㄛ4",
+ "ㄒㄩㄝ1"
+ ],
+ "𨩥": [
+ "ㄈㄥ1"
+ ],
+ "𨩦": [
+ "ㄍㄡ3"
+ ],
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+ "ㄉㄨㄥ1"
+ ],
+ "𨩨": [
+ "ㄔㄚ3"
+ ],
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+ "ㄇㄠ4"
+ ],
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+ "ㄔㄢ3"
+ ],
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+ "ㄅㄧㄢ1"
+ ],
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+ "ㄩ4"
+ ],
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+ "ㄨㄢ2"
+ ],
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+ "ㄗㄨ2"
+ ],
+ "𨩲": [
+ "ㄗ1"
+ ],
+ "𨩴": [
+ "ㄔㄨㄢ1"
+ ],
+ "𨩵": [
+ "ㄨㄢ3"
+ ],
+ "𨩶": [
+ "ㄨㄚ1"
+ ],
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+ "ㄑㄩㄢ1",
+ "ㄐㄩㄢ1"
+ ],
+ "𨩻": [
+ "ㄨㄢ3"
+ ],
+ "𨩽": [
+ "ㄒㄧㄚ4"
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+ "ㄧㄥ4"
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+ "ㄐㄧㄢ4"
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+ "ㄨㄟ3"
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+ "ㄊㄧ2"
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+ "ㄙㄠ1"
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+ "ㄑㄧ2"
+ ],
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+ "ㄕㄚ1"
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+ "ㄩ4"
+ ],
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+ "ㄐㄧ2"
+ ],
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+ "ㄉㄡ4",
+ "ㄊㄡ1"
+ ],
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+ "ㄔㄢ3"
+ ],
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+ "ㄊㄨㄢ2"
+ ],
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+ "ㄌㄧㄡ2"
+ ],
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+ "ㄓㄨㄟ4"
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+ "ㄖㄨㄢ4"
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+ "𨪶": [
+ "ㄧㄢ4"
+ ],
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+ "ㄍㄨ3"
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+ "ㄌㄧ4"
+ ],
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+ "ㄔㄚ1"
+ ],
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+ "ㄉㄧ4"
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+ "ㄌㄧㄡ2"
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+ "ㄓㄢ3"
+ ],
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+ "ㄆㄛ1"
+ ],
+ "𨫒": [
+ "ㄌㄡ4"
+ ],
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+ "ㄓ4",
+ "ㄒㄧㄝ4"
+ ],
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+ "ㄌㄧㄢ2"
+ ],
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+ "ㄌㄨㄛ3"
+ ],
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+ "ㄉㄨㄛ4",
+ "ㄉㄨㄟ4"
+ ],
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+ "ㄐㄩㄝ2"
+ ],
+ "𨬑": [
+ "ㄌㄧ4"
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+ "ㄌㄢ2"
+ ],
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+ "ㄖㄨㄢ4"
+ ],
+ "𨬕": [
+ "ㄍㄨ1"
+ ],
+ "𨬖": [
+ "ㄔㄢ2"
+ ],
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+ "ㄒㄩ1"
+ ],
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+ "ㄓ3"
+ ],
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+ "ㄒㄩㄝ4"
+ ],
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+ "ㄅㄛ1"
+ ],
+ "𨭃": [
+ "ㄔㄥ1"
+ ],
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+ "ㄓㄨ4"
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+ "ㄏㄟ1"
+ ],
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+ "ㄅㄢ1"
+ ],
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+ "ㄒㄧ3"
+ ],
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+ "ㄉㄧㄝ2"
+ ],
+ "𨭖": [
+ "ㄓㄢ3"
+ ],
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+ "ㄍㄨㄛ2"
+ ],
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+ "ㄅㄧㄠ1"
+ ],
+ "𨭛": [
+ "ㄌㄚ4",
+ "ㄍㄜ3"
+ ],
+ "𨭺": [
+ "ㄐㄧㄣ1"
+ ],
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+ "ㄍㄞ3"
+ ],
+ "𨮒": [
+ "ㄇㄥ4"
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+ "ㄩ4"
+ ],
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+ "ㄒㄧ3"
+ ],
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+ "ㄆㄧㄠ1"
+ ],
+ "𨮭": [
+ "ㄙ1"
+ ],
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+ "ㄉㄥ4"
+ ],
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+ "ㄔㄨㄛ1"
+ ],
+ "𨮹": [
+ "ㄉㄧ2"
+ ],
+ "𨮺": [
+ "ㄐㄧ1"
+ ],
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+ "ㄔㄢ2"
+ ],
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+ "ㄓㄨㄛ2"
+ ],
+ "𨯓": [
+ "ㄘㄞ4"
+ ],
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+ "ㄐㄧㄤ4"
+ ],
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+ "ㄊㄡ2"
+ ],
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+ "ㄌㄧ2"
+ ],
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+ "ㄑㄧㄢ4"
+ ],
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+ "ㄔㄨㄛ1"
+ ],
+ "𨰏": [
+ "ㄊㄚ4"
+ ],
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+ "ㄉㄧㄠ4"
+ ],
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+ "ㄐㄧㄢ3"
+ ],
+ "𨰛": [
+ "ㄓ3"
+ ],
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+ "ㄐㄩㄝ2"
+ ],
+ "𨰞": [
+ "ㄇㄛ2"
+ ],
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+ "ㄌㄨㄛ2"
+ ],
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+ "ㄅㄠ3"
+ ],
+ "𨰭": [
+ "ㄗㄨㄢ3"
+ ],
+ "𨰵": [
+ "ㄓㄜ1"
+ ],
+ "𨰸": [
+ "ㄩ2"
+ ],
+ "𨰻": [
+ "ㄅㄠ3"
+ ],
+ "𨰾": [
+ "ㄇㄚ3"
+ ],
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+ "ㄒㄧ4"
+ ],
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+ "ㄏㄨ4"
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+ "ㄧ4"
+ ],
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+ "ㄜ2"
+ ],
+ "𨱃": [
+ "ㄍㄨ1"
+ ],
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+ "ㄊㄨ2"
+ ],
+ "𨱅": [
+ "ㄓㄣ1"
+ ],
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+ "ㄑㄧㄡ2"
+ ],
+ "𨱈": [
+ "ㄙㄨ4"
+ ],
+ "𨱉": [
+ "ㄌㄧㄤ4"
+ ],
+ "𨱊": [
+ "ㄑㄩ1"
+ ],
+ "𨱋": [
+ "ㄌㄧㄥ2"
+ ],
+ "𨱌": [
+ "ㄍㄨㄢ4"
+ ],
+ "𨱍": [
+ "ㄌㄤ2"
+ ],
+ "𨱎": [
+ "ㄊㄡ1"
+ ],
+ "𨱏": [
+ "ㄉㄚ1"
+ ],
+ "𨱐": [
+ "ㄌㄡ4"
+ ],
+ "𨱑": [
+ "ㄏㄨㄤ2"
+ ],
+ "𨱒": [
+ "ㄕㄡ4"
+ ],
+ "𨱓": [
+ "ㄐㄧㄠ1"
+ ],
+ "𨱔": [
+ "ㄗㄨㄣ1"
+ ],
+ "𨱕": [
+ "ㄍㄞ3"
+ ],
+ "𨱖": [
+ "ㄨㄟ2"
+ ],
+ "𨱙": [
+ "ㄎㄨㄣ1"
+ ],
+ "𨱚": [
+ "ㄉㄨㄢ4"
+ ],
+ "𨱛": [
+ "ㄙㄨㄥ1"
+ ],
+ "𨱜": [
+ "ㄑㄧ2"
+ ],
+ "𨱝": [
+ "ㄧㄤ3"
+ ],
+ "𨱡": [
+ "ㄕ4"
+ ],
+ "𨱣": [
+ "ㄍㄞ3"
+ ],
+ "𨱦": [
+ "ㄉㄠ4"
+ ],
+ "𨱧": [
+ "ㄧㄠ3",
+ "ㄠ3"
+ ],
+ "𨱫": [
+ "ㄑㄧㄢ2"
+ ],
+ "𨱭": [
+ "ㄕㄠ1"
+ ],
+ "𨱮": [
+ "ㄔㄤ2"
+ ],
+ "𨱯": [
+ "ㄇㄧㄡ3"
+ ],
+ "𨱱": [
+ "ㄇㄛ2"
+ ],
+ "𨱵": [
+ "ㄋㄠ3"
+ ],
+ "𨱸": [
+ "ㄘㄨㄥ1"
+ ],
+ "𨱺": [
+ "ㄋㄧㄝ4"
+ ],
+ "𨱻": [
+ "ㄓㄠ1"
+ ],
+ "𨱼": [
+ "ㄘㄣ2"
+ ],
+ "𨱿": [
+ "ㄙㄨㄥ1"
+ ],
+ "𨲀": [
+ "ㄋㄧㄝ4"
+ ],
+ "𨲁": [
+ "ㄘ4"
+ ],
+ "𨲄": [
+ "ㄐㄩㄣ4"
+ ],
+ "𨲆": [
+ "ㄕㄠ1"
+ ],
+ "𨲈": [
+ "ㄓㄨ2"
+ ],
+ "𨲉": [
+ "ㄉㄨㄛ3",
+ "ㄊㄨㄛ3",
+ "ㄕㄥ4"
+ ],
+ "𨲊": [
+ "ㄢ4"
+ ],
+ "𨲋": [
+ "ㄅㄧ1"
+ ],
+ "𨲎": [
+ "ㄊㄧ4"
+ ],
+ "𨲐": [
+ "ㄆㄧ3"
+ ],
+ "𨲑": [
+ "ㄒㄧㄚ2"
+ ],
+ "𨲒": [
+ "ㄑㄧㄡ2"
+ ],
+ "𨲓": [
+ "ㄕㄥ3"
+ ],
+ "𨲗": [
+ "ㄊㄤ1"
+ ],
+ "𨲛": [
+ "ㄇㄢ2",
+ "ㄇㄧㄢ2"
+ ],
+ "𨲜": [
+ "ㄆㄧㄢ1"
+ ],
+ "𨲞": [
+ "ㄊㄧ4"
+ ],
+ "𨲟": [
+ "ㄖㄨㄥ2"
+ ],
+ "𨲧": [
+ "ㄘㄨㄥ1"
+ ],
+ "𨲪": [
+ "ㄐㄧ1"
+ ],
+ "𨲫": [
+ "ㄈㄥ2"
+ ],
+ "𨲬": [
+ "ㄨ4"
+ ],
+ "𨲭": [
+ "ㄐㄧㄠ4"
+ ],
+ "𨲮": [
+ "ㄌㄠ2"
+ ],
+ "𨲯": [
+ "ㄗㄥ1"
+ ],
+ "𨲰": [
+ "ㄆㄥ2"
+ ],
+ "𨲱": [
+ "ㄘㄢ3"
+ ],
+ "𨲳": [
+ "ㄋㄨㄥ2"
+ ],
+ "𨲵": [
+ "ㄔㄢ3"
+ ],
+ "𨲾": [
+ "ㄇㄢ2",
+ "ㄇㄧㄢ2"
+ ],
+ "𨲿": [
+ "ㄍㄨㄟ4"
+ ],
+ "𨳀": [
+ "ㄋㄧㄠ4"
+ ],
+ "𨳁": [
+ "ㄔㄨㄥ1"
+ ],
+ "𨳂": [
+ "ㄔㄢ4"
+ ],
+ "𨳆": [
+ "ㄋㄤ4"
+ ],
+ "𨳉": [
+ "ㄒㄧㄚ1"
+ ],
+ "𨳊": [
+ "ㄐㄧㄡ1"
+ ],
+ "𨳋": [
+ "ㄐㄧ3"
+ ],
+ "𨳌": [
+ "ㄓㄣ4"
+ ],
+ "𨳑": [
+ "ㄊㄧㄥ3"
+ ],
+ "𨳔": [
+ "ㄇㄣ2"
+ ],
+ "𨳕": [
+ "ㄩㄝ4"
+ ],
+ "𨳗": [
+ "ㄓㄨㄥ1"
+ ],
+ "𨳘": [
+ "ㄊㄨㄣ2"
+ ],
+ "𨳙": [
+ "ㄖㄨㄟ4"
+ ],
+ "𨳚": [
+ "ㄒㄧㄝ4",
+ "ㄈㄣ1"
+ ],
+ "𨳛": [
+ "ㄒㄧ1"
+ ],
+ "𨳝": [
+ "ㄊㄧㄥ3",
+ "ㄖㄨㄣ4"
+ ],
+ "𨳞": [
+ "ㄋㄧㄡ3"
+ ],
+ "𨳠": [
+ "ㄨㄤ3"
+ ],
+ "𨳡": [
+ "ㄐㄧㄢ1",
+ "ㄍㄨㄢ1"
+ ],
+ "𨳣": [
+ "ㄈㄣ1"
+ ],
+ "𨳲": [
+ "ㄅㄧㄢ4",
+ "ㄅㄧ4"
+ ],
+ "𨳷": [
+ "ㄧ2"
+ ],
+ "𨳺": [
+ "ㄉㄧㄝ2"
+ ],
+ "𨳻": [
+ "ㄐㄧ1"
+ ],
+ "𨳼": [
+ "ㄍㄢ3"
+ ],
+ "𨳿": [
+ "ㄐㄧㄢ1",
+ "ㄒㄧ4",
+ "ㄇㄚ3"
+ ],
+ "𨴀": [
+ "ㄐㄩㄥ1"
+ ],
+ "𨴆": [
+ "ㄎㄞ1"
+ ],
+ "𨴊": [
+ "ㄑㄩㄝ4",
+ "ㄍㄨㄢ1"
+ ],
+ "𨴌": [
+ "ㄋㄢ2"
+ ],
+ "𨴍": [
+ "ㄇㄡ2"
+ ],
+ "𨴎": [
+ "ㄒㄩ4"
+ ],
+ "𨴏": [
+ "ㄙㄨㄥ3"
+ ],
+ "𨴐": [
+ "ㄕㄣ4"
+ ],
+ "𨴑": [
+ "ㄎㄨㄤ1"
+ ],
+ "𨴒": [
+ "ㄑㄩㄝ4"
+ ],
+ "𨴓": [
+ "ㄨㄟ2"
+ ],
+ "𨴗": [
+ "ㄉㄧㄝ2"
+ ],
+ "𨴘": [
+ "ㄋㄢ2"
+ ],
+ "𨴚": [
+ "ㄖㄨㄛ4"
+ ],
+ "𨴛": [
+ "ㄍㄨㄥ1"
+ ],
+ "𨴜": [
+ "ㄉㄡ4",
+ "ㄧㄡ4"
+ ],
+ "𨴞": [
+ "ㄋㄧㄢ3"
+ ],
+ "𨴡": [
+ "ㄔㄠ1"
+ ],
+ "𨴢": [
+ "ㄏㄜ2"
+ ],
+ "𨴣": [
+ "ㄧㄢ4"
+ ],
+ "𨴩": [
+ "ㄊㄨ2"
+ ],
+ "𨴪": [
+ "ㄅㄨ3"
+ ],
+ "𨴬": [
+ "ㄏㄨ2"
+ ],
+ "𨴭": [
+ "ㄩㄥ3"
+ ],
+ "𨴯": [
+ "ㄕ3"
+ ],
+ "𨴰": [
+ "ㄔㄨ4"
+ ],
+ "𨴹": [
+ "ㄒㄧㄠ1"
+ ],
+ "𨴺": [
+ "ㄇㄣ2"
+ ],
+ "𨴻": [
+ "ㄌㄧ3"
+ ],
+ "𨴼": [
+ "ㄊㄧ2"
+ ],
+ "𨴾": [
+ "ㄐㄧㄢ1"
+ ],
+ "𨵂": [
+ "ㄓ3"
+ ],
+ "𨵃": [
+ "ㄍㄨㄚ1",
+ "ㄈㄨ3",
+ "ㄩㄝ4"
+ ],
+ "𨵄": [
+ "ㄍㄨㄢ3"
+ ],
+ "𨵆": [
+ "ㄑㄧ4"
+ ],
+ "𨵈": [
+ "ㄈㄟ1"
+ ],
+ "𨵉": [
+ "ㄩ3"
+ ],
+ "𨵊": [
+ "ㄓㄜ2"
+ ],
+ "𨵋": [
+ "ㄨㄟ3"
+ ],
+ "𨵌": [
+ "ㄜ3"
+ ],
+ "𨵍": [
+ "ㄔㄢ1"
+ ],
+ "𨵎": [
+ "ㄒㄧ1",
+ "ㄑㄧ2"
+ ],
+ "𨵐": [
+ "ㄍㄨ3"
+ ],
+ "𨵗": [
+ "ㄑㄩㄝ4"
+ ],
+ "𨵘": [
+ "ㄏㄨㄟ4"
+ ],
+ "𨵚": [
+ "ㄒㄧㄝ2"
+ ],
+ "𨵛": [
+ "ㄧㄥ1"
+ ],
+ "𨵝": [
+ "ㄊㄚ4"
+ ],
+ "𨵞": [
+ "ㄨㄞ1"
+ ],
+ "𨵟": [
+ "ㄈㄨ2"
+ ],
+ "𨵠": [
+ "ㄐㄧㄝ4"
+ ],
+ "𨵡": [
+ "ㄆㄧ4"
+ ],
+ "𨵥": [
+ "ㄕㄥ3"
+ ],
+ "𨵦": [
+ "ㄩ2"
+ ],
+ "𨵧": [
+ "ㄎㄨㄚ1"
+ ],
+ "𨵩": [
+ "ㄆㄧ4"
+ ],
+ "𨵪": [
+ "ㄒㄧㄝ2"
+ ],
+ "𨵫": [
+ "ㄋㄩㄝ4"
+ ],
+ "𨵬": [
+ "ㄒㄧㄢ4"
+ ],
+ "𨵭": [
+ "ㄐㄧㄢ4"
+ ],
+ "𨵮": [
+ "ㄒㄩ4"
+ ],
+ "𨵰": [
+ "ㄅㄧ4"
+ ],
+ "𨵴": [
+ "ㄋㄢ2"
+ ],
+ "𨵶": [
+ "ㄌㄧㄤ2"
+ ],
+ "𨵸": [
+ "ㄆㄧㄢ2"
+ ],
+ "𨵼": [
+ "ㄐㄧㄥ4"
+ ],
+ "𨶀": [
+ "ㄊㄚ3"
+ ],
+ "𨶁": [
+ "ㄧㄢ4"
+ ],
+ "𨶂": [
+ "ㄞ4"
+ ],
+ "𨶅": [
+ "ㄒㄧㄠ1"
+ ],
+ "𨶆": [
+ "ㄑㄧㄤ1"
+ ],
+ "𨶇": [
+ "ㄨ3"
+ ],
+ "𨶈": [
+ "ㄊㄤ2"
+ ],
+ "𨶊": [
+ "ㄐㄩㄣ4"
+ ],
+ "𨶐": [
+ "ㄎㄨㄛ4"
+ ],
+ "𨶗": [
+ "ㄌㄤ4"
+ ],
+ "𨶙": [
+ "ㄋㄥ3"
+ ],
+ "𨶜": [
+ "ㄉㄡ4",
+ "ㄉㄡ3"
+ ],
+ "𨶝": [
+ "ㄕㄨ2"
+ ],
+ "𨶟": [
+ "ㄐㄧㄠ3"
+ ],
+ "𨶠": [
+ "ㄋㄧㄝ4"
+ ],
+ "𨶢": [
+ "ㄩ2"
+ ],
+ "𨶨": [
+ "ㄘㄜ4"
+ ],
+ "𨶪": [
+ "ㄐㄧㄠ3",
+ "ㄌㄧㄡ2"
+ ],
+ "𨶬": [
+ "ㄏㄨㄚ4"
+ ],
+ "𨶭": [
+ "ㄨㄣ2"
+ ],
+ "𨶮": [
+ "ㄧㄝ1"
+ ],
+ "𨶯": [
+ "ㄜ2"
+ ],
+ "𨶰": [
+ "ㄍㄨㄤ1"
+ ],
+ "𨶱": [
+ "ㄏㄨㄚ1"
+ ],
+ "𨶲": [
+ "ㄐㄧㄠ1"
+ ],
+ "𨶺": [
+ "ㄌㄟ4"
+ ],
+ "𨶼": [
+ "ㄕㄤ1"
+ ],
+ "𨶽": [
+ "ㄩㄥ4"
+ ],
+ "𨶿": [
+ "ㄉㄥ1"
+ ],
+ "𨷀": [
+ "ㄍㄨㄢ1"
+ ],
+ "𨷁": [
+ "ㄋㄧㄡ2"
+ ],
+ "𨷃": [
+ "ㄙㄨㄟ4"
+ ],
+ "𨷄": [
+ "ㄒㄧㄤ4"
+ ],
+ "𨷆": [
+ "ㄙㄚ4"
+ ],
+ "𨷇": [
+ "ㄔㄤ1"
+ ],
+ "𨷎": [
+ "ㄖㄨㄣ4"
+ ],
+ "𨷐": [
+ "ㄩㄣ1"
+ ],
+ "𨷒": [
+ "ㄈㄣ1"
+ ],
+ "𨷓": [
+ "ㄐㄧㄢ4"
+ ],
+ "𨷔": [
+ "ㄒㄩ4"
+ ],
+ "𨷘": [
+ "ㄒㄧ4"
+ ],
+ "𨷙": [
+ "ㄕㄨ2"
+ ],
+ "𨷥": [
+ "ㄒㄧㄝ2"
+ ],
+ "𨷦": [
+ "ㄌㄧ4"
+ ],
+ "𨷩": [
+ "ㄊㄡ2"
+ ],
+ "𨷬": [
+ "ㄇㄧ3"
+ ],
+ "𨷭": [
+ "ㄔㄢ2"
+ ],
+ "𨷮": [
+ "ㄏㄨㄛ1"
+ ],
+ "𨷱": [
+ "ㄓㄨㄢ3"
+ ],
+ "𨷲": [
+ "ㄩㄝ4"
+ ],
+ "𨷻": [
+ "ㄌㄢ2"
+ ],
+ "𨷽": [
+ "ㄧㄢ2"
+ ],
+ "𨷾": [
+ "ㄉㄤ4"
+ ],
+ "𨷿": [
+ "ㄒㄧㄤ4"
+ ],
+ "𨸀": [
+ "ㄩㄝ4"
+ ],
+ "𨸁": [
+ "ㄊㄧㄥ3"
+ ],
+ "𨸂": [
+ "ㄅㄥ1"
+ ],
+ "𨸃": [
+ "ㄙㄢ4"
+ ],
+ "𨸄": [
+ "ㄒㄧㄢ4"
+ ],
+ "𨸅": [
+ "ㄉㄧㄝ2"
+ ],
+ "𨸆": [
+ "ㄆㄧ4"
+ ],
+ "𨸇": [
+ "ㄆㄧㄢ2"
+ ],
+ "𨸉": [
+ "ㄊㄚ3"
+ ],
+ "𨸋": [
+ "ㄐㄧㄠ1"
+ ],
+ "𨸌": [
+ "ㄧㄝ1"
+ ],
+ "𨸎": [
+ "ㄩㄝ4"
+ ],
+ "𨸐": [
+ "ㄖㄥ2"
+ ],
+ "𨸑": [
+ "ㄑㄧㄠ3"
+ ],
+ "𨸒": [
+ "ㄑㄧ2"
+ ],
+ "𨸓": [
+ "ㄉㄧㄠ1"
+ ],
+ "𨸔": [
+ "ㄑㄧ2",
+ "ㄨㄟ2"
+ ],
+ "𨸗": [
+ "ㄏㄢ4"
+ ],
+ "𨸘": [
+ "ㄩㄢ2"
+ ],
+ "𨸙": [
+ "ㄧㄡ2"
+ ],
+ "𨸚": [
+ "ㄐㄧ2"
+ ],
+ "𨸛": [
+ "ㄍㄞ4"
+ ],
+ "𨸜": [
+ "ㄏㄞ1"
+ ],
+ "𨸝": [
+ "ㄕ4"
+ ],
+ "𨸟": [
+ "ㄑㄩ1"
+ ],
+ "𨸩": [
+ "ㄨㄣ4"
+ ],
+ "𨸬": [
+ "ㄓㄣ4"
+ ],
+ "𨸭": [
+ "ㄆㄛ1"
+ ],
+ "𨸮": [
+ "ㄧㄢ2",
+ "ㄩㄣ3"
+ ],
+ "𨸯": [
+ "ㄍㄨ1"
+ ],
+ "𨸰": [
+ "ㄐㄩ2"
+ ],
+ "𨸱": [
+ "ㄊㄧㄢ4",
+ "ㄋㄧㄢ3"
+ ],
+ "𨸷": [
+ "ㄜ4"
+ ],
+ "𨸺": [
+ "ㄧㄚ1"
+ ],
+ "𨸻": [
+ "ㄌㄧㄣ4"
+ ],
+ "𨸼": [
+ "ㄅㄧ4"
+ ],
+ "𨹀": [
+ "ㄗ3"
+ ],
+ "𨹁": [
+ "ㄏㄨㄥ2"
+ ],
+ "𨹃": [
+ "ㄉㄨㄛ3",
+ "ㄉㄨㄛ4"
+ ],
+ "𨹅": [
+ "ㄉㄨㄟ4"
+ ],
+ "𨹆": [
+ "ㄒㄩㄢ4"
+ ],
+ "𨹈": [
+ "ㄕㄢ3",
+ "ㄧㄤ2"
+ ],
+ "𨹊": [
+ "ㄕㄢ3"
+ ],
+ "𨹋": [
+ "ㄧㄠ2"
+ ],
+ "𨹌": [
+ "ㄖㄢ3"
+ ],
+ "𨹔": [
+ "ㄊㄨㄛ2"
+ ],
+ "𨹗": [
+ "ㄅㄧㄥ1"
+ ],
+ "𨹘": [
+ "ㄒㄩ4"
+ ],
+ "𨹙": [
+ "ㄊㄨㄣ1"
+ ],
+ "𨹚": [
+ "ㄔㄥ2"
+ ],
+ "𨹜": [
+ "ㄉㄡ4"
+ ],
+ "𨹝": [
+ "ㄧ4",
+ "ㄧㄚ4"
+ ],
+ "𨹡": [
+ "ㄔㄜ4"
+ ],
+ "𨹵": [
+ "ㄐㄩㄢ3"
+ ],
+ "𨹶": [
+ "ㄐㄧ1"
+ ],
+ "𨹸": [
+ "ㄓㄠ4"
+ ],
+ "𨹹": [
+ "ㄅㄥ1",
+ "ㄅㄥ4"
+ ],
+ "𨹻": [
+ "ㄊㄧㄢ3"
+ ],
+ "𨺀": [
+ "ㄆㄥ1"
+ ],
+ "𨺅": [
+ "ㄈㄨ4"
+ ],
+ "𨺖": [
+ "ㄊㄨㄛ3"
+ ],
+ "𨺘": [
+ "ㄒㄧㄢ2"
+ ],
+ "𨺙": [
+ "ㄋㄧ4"
+ ],
+ "𨺚": [
+ "ㄌㄨㄥ2"
+ ],
+ "𨺝": [
+ "ㄓㄨㄛ2"
+ ],
+ "𨺟": [
+ "ㄓㄥ1"
+ ],
+ "𨺠": [
+ "ㄕㄨㄣ3"
+ ],
+ "𨺡": [
+ "ㄗㄨㄥ1"
+ ],
+ "𨺢": [
+ "ㄈㄥ1"
+ ],
+ "𨺣": [
+ "ㄉㄨㄢ4"
+ ],
+ "𨺤": [
+ "ㄆㄧ4"
+ ],
+ "𨺥": [
+ "ㄧㄢ3"
+ ],
+ "𨺦": [
+ "ㄙㄡ3"
+ ],
+ "𨺧": [
+ "ㄑㄧㄡ2"
+ ],
+ "𨺨": [
+ "ㄜ4"
+ ],
+ "𨺩": [
+ "ㄑㄧㄢ2"
+ ],
+ "𨺫": [
+ "ㄑㄧㄢ3"
+ ],
+ "𨺭": [
+ "ㄘㄚ1"
+ ],
+ "𨺮": [
+ "ㄒㄩㄣ4"
+ ],
+ "𨺵": [
+ "ㄓㄨㄟ4"
+ ],
+ "𨺸": [
+ "ㄇㄠ3"
+ ],
+ "𨺹": [
+ "ㄐㄧㄠ3"
+ ],
+ "𨺿": [
+ "ㄓㄢ3"
+ ],
+ "𨻀": [
+ "ㄆㄧ2",
+ "ㄅㄧ1"
+ ],
+ "𨻁": [
+ "ㄒㄧ1"
+ ],
+ "𨻂": [
+ "ㄧㄢ4"
+ ],
+ "𨻃": [
+ "ㄈㄟ4"
+ ],
+ "𨻄": [
+ "ㄋㄧㄝ4"
+ ],
+ "𨻆": [
+ "ㄓ4"
+ ],
+ "𨻈": [
+ "ㄙㄨㄛ3"
+ ],
+ "𨻊": [
+ "ㄧ4"
+ ],
+ "𨻌": [
+ "ㄌㄟ3"
+ ],
+ "𨻍": [
+ "ㄒㄩ4"
+ ],
+ "𨻏": [
+ "ㄧ4"
+ ],
+ "𨻒": [
+ "ㄨㄟ1"
+ ],
+ "𨻕": [
+ "ㄐㄧ1"
+ ],
+ "𨻖": [
+ "ㄔㄣ1"
+ ],
+ "𨻗": [
+ "ㄉㄧㄝ2"
+ ],
+ "𨻣": [
+ "ㄩㄢ2"
+ ],
+ "𨻥": [
+ "ㄒㄧ2"
+ ],
+ "𨻧": [
+ "ㄌㄧㄡ2"
+ ],
+ "𨻨": [
+ "ㄙㄨㄛ3"
+ ],
+ "𨻱": [
+ "ㄅㄥ1"
+ ],
+ "𨻲": [
+ "ㄒㄧㄚ4"
+ ],
+ "𨻳": [
+ "ㄧㄢ4",
+ "ㄧㄢ1"
+ ],
+ "𨻵": [
+ "ㄘㄨㄟ1",
+ "ㄗㄨㄟ1",
+ "ㄉㄨㄟ4"
+ ],
+ "𨻷": [
+ "ㄎㄤ1"
+ ],
+ "𨻺": [
+ "ㄑㄧㄥ1"
+ ],
+ "𨻻": [
+ "ㄌㄡ2"
+ ],
+ "𨻼": [
+ "ㄅㄧ1"
+ ],
+ "𨼈": [
+ "ㄓㄢ4"
+ ],
+ "𨼉": [
+ "ㄘㄨㄢ4"
+ ],
+ "𨼊": [
+ "ㄨ2"
+ ],
+ "𨼋": [
+ "ㄒㄩ1"
+ ],
+ "𨼌": [
+ "ㄔㄣ1"
+ ],
+ "𨼍": [
+ "ㄏㄠ2"
+ ],
+ "𨼎": [
+ "ㄐㄩㄝ2"
+ ],
+ "𨼐": [
+ "ㄔㄣ4"
+ ],
+ "𨼑": [
+ "ㄔㄚ2"
+ ],
+ "𨼒": [
+ "ㄔㄢ3"
+ ],
+ "𨼓": [
+ "ㄓ2"
+ ],
+ "𨼔": [
+ "ㄒㄩㄣ2"
+ ],
+ "𨼣": [
+ "ㄍㄜ2"
+ ],
+ "𨼤": [
+ "ㄔㄣ2"
+ ],
+ "𨼥": [
+ "ㄧㄝ4",
+ "ㄍㄜ2"
+ ],
+ "𨼪": [
+ "ㄔㄨ3"
+ ],
+ "𨼫": [
+ "ㄑㄩ2"
+ ],
+ "𨼬": [
+ "ㄒㄧㄝ4"
+ ],
+ "𨼮": [
+ "ㄓㄢ4"
+ ],
+ "𨼯": [
+ "ㄎㄣ3"
+ ],
+ "𨼱": [
+ "ㄐㄩㄝ2"
+ ],
+ "𨼽": [
+ "ㄑㄩ2"
+ ],
+ "𨼿": [
+ "ㄇㄥ2"
+ ],
+ "𨽀": [
+ "ㄧㄝ4"
+ ],
+ "𨽁": [
+ "ㄗㄡ1",
+ "ㄘㄨㄥ2"
+ ],
+ "𨽂": [
+ "ㄆㄨ2"
+ ],
+ "𨽄": [
+ "ㄕ4"
+ ],
+ "𨽉": [
+ "ㄕㄨ3"
+ ],
+ "𨽊": [
+ "ㄔㄢ2"
+ ],
+ "𨽍": [
+ "ㄉㄨ2"
+ ],
+ "𨽏": [
+ "ㄍㄨㄛ1"
+ ],
+ "𨽐": [
+ "ㄌㄨ4",
+ "ㄧㄤ2"
+ ],
+ "𨽑": [
+ "ㄧㄢ1"
+ ],
+ "𨽖": [
+ "ㄋㄧㄠ3"
+ ],
+ "𨽗": [
+ "ㄅㄧㄣ1",
+ "ㄆㄧㄣ2"
+ ],
+ "𨽟": [
+ "ㄊㄨㄟ2"
+ ],
+ "𨽦": [
+ "ㄋㄧ4"
+ ],
+ "𨽧": [
+ "ㄏㄨㄢ1"
+ ],
+ "𨽨": [
+ "ㄑㄧㄢ2"
+ ],
+ "𨽯": [
+ "ㄒㄧㄚ4"
+ ],
+ "𨽲": [
+ "ㄌㄧㄥ2"
+ ],
+ "𨽷": [
+ "ㄌㄧㄢ2"
+ ],
+ "𨽹": [
+ "ㄧ4",
+ "ㄌㄧ4"
+ ],
+ "𨽻": [
+ "ㄌㄧ4"
+ ],
+ "𨽼": [
+ "ㄙ4"
+ ],
+ "𨽿": [
+ "ㄉㄞ4"
+ ],
+ "𨾂": [
+ "ㄨㄟ4"
+ ],
+ "𨾅": [
+ "ㄘ4"
+ ],
+ "𨾉": [
+ "ㄐㄧㄡ3"
+ ],
+ "𨾊": [
+ "ㄏㄨㄥ2"
+ ],
+ "𨾌": [
+ "ㄩ2"
+ ],
+ "𨾎": [
+ "ㄎㄨㄟ2"
+ ],
+ "𨾒": [
+ "ㄏㄤ2"
+ ],
+ "𨾓": [
+ "ㄍㄜ1",
+ "ㄧ4"
+ ],
+ "𨾔": [
+ "ㄈㄤ4"
+ ],
+ "𨾗": [
+ "ㄎㄨㄟ2",
+ "ㄒㄧㄝ2"
+ ],
+ "𨾚": [
+ "ㄍㄨㄟ1",
+ "ㄈㄨ1"
+ ],
+ "𨾛": [
+ "ㄔ3",
+ "ㄑㄧ2"
+ ],
+ "𨾞": [
+ "ㄐㄧㄡ3"
+ ],
+ "𨾡": [
+ "ㄙㄨㄟ1",
+ "ㄏㄨㄤ3"
+ ],
+ "𨾤": [
+ "ㄉㄧㄝ2"
+ ],
+ "𨾬": [
+ "ㄙㄨㄟ3"
+ ],
+ "𨾰": [
+ "ㄑㄧㄣ2"
+ ],
+ "𨾴": [
+ "ㄍㄨㄟ1"
+ ],
+ "𨾻": [
+ "ㄓㄨㄟ1"
+ ],
+ "𨾾": [
+ "ㄊㄧㄠ4"
+ ],
+ "𨿁": [
+ "ㄩㄝ4"
+ ],
+ "𨿇": [
+ "ㄗㄨㄟ3"
+ ],
+ "𨿏": [
+ "ㄨ2"
+ ],
+ "𨿐": [
+ "ㄘㄨㄟ3"
+ ],
+ "𨿛": [
+ "ㄓ4",
+ "ㄒㄧ1"
+ ],
+ "𨿠": [
+ "ㄕㄨㄟ4"
+ ],
+ "𨿢": [
+ "ㄉㄨㄥ1"
+ ],
+ "𨿭": [
+ "ㄨㄟ2"
+ ],
+ "𨿿": [
+ "ㄔㄨㄥ3"
+ ],
+ "𩀋": [
+ "ㄖㄨㄣ2"
+ ],
+ "𩀖": [
+ "ㄐㄧ2"
+ ],
+ "𩀜": [
+ "ㄉㄧㄠ1"
+ ],
+ "𩀞": [
+ "ㄘㄤ1"
+ ],
+ "𩀠": [
+ "ㄎㄡ4",
+ "ㄍㄨ3"
+ ],
+ "𩀣": [
+ "ㄨㄟ2"
+ ],
+ "𩀧": [
+ "ㄘㄢ2"
+ ],
+ "𩀪": [
+ "ㄇㄚ2"
+ ],
+ "𩀫": [
+ "ㄡ4"
+ ],
+ "𩀲": [
+ "ㄙㄢ3"
+ ],
+ "𩀶": [
+ "ㄨㄟ2",
+ "ㄏㄨㄟ1",
+ "ㄇㄧ2"
+ ],
+ "𩀼": [
+ "ㄙㄢ3"
+ ],
+ "𩀿": [
+ "ㄐㄧㄣ1"
+ ],
+ "𩁌": [
+ "ㄨㄟ2"
+ ],
+ "𩁞": [
+ "ㄘㄞ4"
+ ],
+ "𩁟": [
+ "ㄌㄧ2"
+ ],
+ "𩁯": [
+ "ㄩㄝ4"
+ ],
+ "𩁴": [
+ "ㄩㄣ1"
+ ],
+ "𩁷": [
+ "ㄔㄥ1"
+ ],
+ "𩁺": [
+ "ㄕㄢ1"
+ ],
+ "𩂂": [
+ "ㄏㄨ1"
+ ],
+ "𩂃": [
+ "ㄕㄞ4"
+ ],
+ "𩂄": [
+ "ㄊㄨㄣ2"
+ ],
+ "𩂆": [
+ "ㄈㄡ3",
+ "ㄈㄨ4"
+ ],
+ "𩂈": [
+ "ㄑㄧㄣ4"
+ ],
+ "𩂉": [
+ "ㄒㄩ1",
+ "ㄔㄣ1"
+ ],
+ "𩂍": [
+ "ㄔㄨㄢ1"
+ ],
+ "𩂎": [
+ "ㄈㄨ4"
+ ],
+ "𩂒": [
+ "ㄧ4",
+ "ㄞ4"
+ ],
+ "𩂓": [
+ "ㄉㄨㄥ1"
+ ],
+ "𩂔": [
+ "ㄈㄨ2"
+ ],
+ "𩂕": [
+ "ㄈㄨ2"
+ ],
+ "𩂖": [
+ "ㄗㄜ2"
+ ],
+ "𩂗": [
+ "ㄆㄨ4"
+ ],
+ "𩂙": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩂝": [
+ "ㄕㄞ4",
+ "ㄧㄥ1"
+ ],
+ "𩂞": [
+ "ㄆㄠ4"
+ ],
+ "𩂢": [
+ "ㄧㄣ2",
+ "ㄞ2"
+ ],
+ "𩂣": [
+ "ㄌㄨㄛ4"
+ ],
+ "𩂤": [
+ "ㄏㄨㄚ4"
+ ],
+ "𩂥": [
+ "ㄧㄣ4"
+ ],
+ "𩂦": [
+ "ㄅㄥ4"
+ ],
+ "𩂧": [
+ "ㄩ1"
+ ],
+ "𩂨": [
+ "ㄕㄜ4"
+ ],
+ "𩂪": [
+ "ㄒㄧㄝ4"
+ ],
+ "𩂫": [
+ "ㄔㄨ3"
+ ],
+ "𩂴": [
+ "ㄕㄜ4"
+ ],
+ "𩂵": [
+ "ㄉㄧㄢ4"
+ ],
+ "𩂹": [
+ "ㄧ4"
+ ],
+ "𩂻": [
+ "ㄔㄜ4"
+ ],
+ "𩂼": [
+ "ㄍㄥ3"
+ ],
+ "𩂽": [
+ "ㄌㄨㄥ2"
+ ],
+ "𩂾": [
+ "ㄆㄧㄥ2"
+ ],
+ "𩂿": [
+ "ㄩㄣ3"
+ ],
+ "𩃀": [
+ "ㄧㄢ4"
+ ],
+ "𩃁": [
+ "ㄇㄛ4"
+ ],
+ "𩃃": [
+ "ㄙㄨㄟ1"
+ ],
+ "𩃋": [
+ "ㄐㄧㄥ4"
+ ],
+ "𩃍": [
+ "ㄙㄨㄥ4"
+ ],
+ "𩃎": [
+ "ㄆㄤ2"
+ ],
+ "𩃐": [
+ "ㄧㄚ2"
+ ],
+ "𩃑": [
+ "ㄙㄜ4"
+ ],
+ "𩃒": [
+ "ㄉㄨㄛ3"
+ ],
+ "𩃕": [
+ "ㄔㄨㄤ2"
+ ],
+ "𩃖": [
+ "ㄒㄧㄝ4"
+ ],
+ "𩃘": [
+ "ㄊㄨㄢ2"
+ ],
+ "𩃙": [
+ "ㄍㄨㄥ1"
+ ],
+ "𩃚": [
+ "ㄒㄩㄢ4"
+ ],
+ "𩃜": [
+ "ㄌㄚ1"
+ ],
+ "𩃞": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩃠": [
+ "ㄉㄞ4"
+ ],
+ "𩃡": [
+ "ㄓㄚ2"
+ ],
+ "𩃬": [
+ "ㄧㄣ1"
+ ],
+ "𩃭": [
+ "ㄙㄨㄥ1"
+ ],
+ "𩃯": [
+ "ㄩ3"
+ ],
+ "𩃰": [
+ "ㄊㄨㄛ2"
+ ],
+ "𩃱": [
+ "ㄊㄨㄛ2"
+ ],
+ "𩃴": [
+ "ㄅㄚ4"
+ ],
+ "𩃵": [
+ "ㄖㄢ3"
+ ],
+ "𩃶": [
+ "ㄅㄛ2"
+ ],
+ "𩃷": [
+ "ㄉㄞ4"
+ ],
+ "𩃹": [
+ "ㄓㄚ2",
+ "ㄓㄚ3"
+ ],
+ "𩃺": [
+ "ㄏㄡ2"
+ ],
+ "𩃾": [
+ "ㄏㄨㄟ3"
+ ],
+ "𩄅": [
+ "ㄌㄨ2"
+ ],
+ "𩄊": [
+ "ㄌㄧㄥ4"
+ ],
+ "𩄋": [
+ "ㄖㄨ2"
+ ],
+ "𩄕": [
+ "ㄉㄢ4"
+ ],
+ "𩄖": [
+ "ㄇㄥ2"
+ ],
+ "𩄗": [
+ "ㄒㄧㄚ4"
+ ],
+ "𩄘": [
+ "ㄨㄥ3"
+ ],
+ "𩄙": [
+ "ㄏㄢ2"
+ ],
+ "𩄚": [
+ "ㄗ1"
+ ],
+ "𩄛": [
+ "ㄓㄣ4"
+ ],
+ "𩄜": [
+ "ㄙㄜ4"
+ ],
+ "𩄝": [
+ "ㄘㄨㄛ2"
+ ],
+ "𩄞": [
+ "ㄌㄧ4"
+ ],
+ "𩄠": [
+ "ㄉㄧㄢ1"
+ ],
+ "𩄡": [
+ "ㄌㄧㄢ2"
+ ],
+ "𩄢": [
+ "ㄍㄡ4"
+ ],
+ "𩄦": [
+ "ㄆㄥ2"
+ ],
+ "𩄪": [
+ "ㄧㄥ1"
+ ],
+ "𩄬": [
+ "ㄏㄡ4"
+ ],
+ "𩄮": [
+ "ㄉㄨㄟ4"
+ ],
+ "𩄯": [
+ "ㄨ4"
+ ],
+ "𩄷": [
+ "ㄆㄧㄠ4"
+ ],
+ "𩄸": [
+ "ㄏㄜ4"
+ ],
+ "𩄺": [
+ "ㄌㄨㄥ2"
+ ],
+ "𩄻": [
+ "ㄇㄛ4"
+ ],
+ "𩄼": [
+ "ㄈㄟ3"
+ ],
+ "𩄽": [
+ "ㄌㄩ3"
+ ],
+ "𩄾": [
+ "ㄗㄜ2"
+ ],
+ "𩄿": [
+ "ㄅㄛ2"
+ ],
+ "𩅀": [
+ "ㄉㄧㄢ4",
+ "ㄓ2"
+ ],
+ "𩅁": [
+ "ㄇㄤ3"
+ ],
+ "𩅃": [
+ "ㄓㄨㄤ4",
+ "ㄔㄨㄥ2"
+ ],
+ "𩅄": [
+ "ㄌㄨ4"
+ ],
+ "𩅅": [
+ "ㄆㄤ1"
+ ],
+ "𩅆": [
+ "ㄉㄨㄟ4"
+ ],
+ "𩅇": [
+ "ㄅㄨ4"
+ ],
+ "𩅌": [
+ "ㄔㄣ1"
+ ],
+ "𩅍": [
+ "ㄇㄢ4"
+ ],
+ "𩅖": [
+ "ㄒㄧ1"
+ ],
+ "𩅝": [
+ "ㄢ3"
+ ],
+ "𩅞": [
+ "ㄓㄨㄥ1",
+ "ㄔㄨㄥ4"
+ ],
+ "𩅠": [
+ "ㄋㄢ4"
+ ],
+ "𩅡": [
+ "ㄊㄨㄛ4"
+ ],
+ "𩅢": [
+ "ㄏㄜ2"
+ ],
+ "𩅥": [
+ "ㄉㄨㄟ4"
+ ],
+ "𩅦": [
+ "ㄨㄢ1",
+ "ㄉㄢ1"
+ ],
+ "𩅧": [
+ "ㄓㄨㄥ1"
+ ],
+ "𩅨": [
+ "ㄘㄣ2",
+ "ㄕㄣ4"
+ ],
+ "𩅩": [
+ "ㄌㄧ4"
+ ],
+ "𩅪": [
+ "ㄕㄨㄤ1"
+ ],
+ "𩅮": [
+ "ㄘㄣ2"
+ ],
+ "𩅰": [
+ "ㄙ1"
+ ],
+ "𩅲": [
+ "ㄉㄨㄟ4"
+ ],
+ "𩅴": [
+ "ㄏㄨㄣ1"
+ ],
+ "𩅼": [
+ "ㄐㄧㄢ1",
+ "ㄐㄧㄢ4"
+ ],
+ "𩅽": [
+ "ㄋㄨㄥ2"
+ ],
+ "𩅾": [
+ "ㄉㄢ4"
+ ],
+ "𩅿": [
+ "ㄈㄨ4"
+ ],
+ "𩆀": [
+ "ㄏㄨㄛ4"
+ ],
+ "𩆁": [
+ "ㄏㄨㄟ4",
+ "ㄨㄟ4"
+ ],
+ "𩆂": [
+ "ㄘ2"
+ ],
+ "𩆄": [
+ "ㄩㄥ3"
+ ],
+ "𩆅": [
+ "ㄙㄚ4"
+ ],
+ "𩆆": [
+ "ㄊㄧㄥ2"
+ ],
+ "𩆎": [
+ "ㄌㄧㄡ4"
+ ],
+ "𩆑": [
+ "ㄙㄨㄢ1"
+ ],
+ "𩆒": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩆓": [
+ "ㄇㄢ2",
+ "ㄇㄢ4"
+ ],
+ "𩆔": [
+ "ㄉㄧㄢ4"
+ ],
+ "𩆘": [
+ "ㄆㄠ1"
+ ],
+ "𩆚": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩆝": [
+ "ㄌㄧ4"
+ ],
+ "𩆟": [
+ "ㄋㄡ2"
+ ],
+ "𩆣": [
+ "ㄌㄧㄝ4"
+ ],
+ "𩆤": [
+ "ㄕㄢ3"
+ ],
+ "𩆦": [
+ "ㄈㄟ4"
+ ],
+ "𩆫": [
+ "ㄕㄢ3"
+ ],
+ "𩆮": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩆯": [
+ "ㄓㄢ4",
+ "ㄐㄧㄢ1"
+ ],
+ "𩆱": [
+ "ㄅㄧㄣ1"
+ ],
+ "𩆲": [
+ "ㄌㄧ2"
+ ],
+ "𩆵": [
+ "ㄙ1",
+ "ㄒㄧㄢ4"
+ ],
+ "𩆶": [
+ "ㄖㄤ2"
+ ],
+ "𩆷": [
+ "ㄐㄧㄢ1"
+ ],
+ "𩆸": [
+ "ㄓㄨㄛ2"
+ ],
+ "𩆻": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩆼": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩆽": [
+ "ㄇㄥ4"
+ ],
+ "𩆿": [
+ "ㄕㄨㄤ1"
+ ],
+ "𩇄": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩇇": [
+ "ㄏㄨㄣ4"
+ ],
+ "𩇎": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩇏": [
+ "ㄐㄧㄢ1"
+ ],
+ "𩇐": [
+ "ㄑㄩ2"
+ ],
+ "𩇔": [
+ "ㄋㄨㄥ2"
+ ],
+ "𩇕": [
+ "ㄐㄧㄥ4"
+ ],
+ "𩇖": [
+ "ㄔㄣ1"
+ ],
+ "𩇜": [
+ "ㄓㄣ1",
+ "ㄔㄥ4",
+ "ㄔㄥ1"
+ ],
+ "𩇝": [
+ "ㄑㄧㄥ4"
+ ],
+ "𩇟": [
+ "ㄑㄧㄥ4"
+ ],
+ "𩇠": [
+ "ㄜ4",
+ "ㄧㄢ3"
+ ],
+ "𩇣": [
+ "ㄙㄜ4"
+ ],
+ "𩇩": [
+ "ㄅㄟ4"
+ ],
+ "𩇫": [
+ "ㄈㄟ1"
+ ],
+ "𩇮": [
+ "ㄈㄟ4"
+ ],
+ "𩇯": [
+ "ㄈㄟ2"
+ ],
+ "𩇴": [
+ "ㄈㄤ1"
+ ],
+ "𩇵": [
+ "ㄎㄨ3"
+ ],
+ "𩇺": [
+ "ㄗㄚ2"
+ ],
+ "𩇻": [
+ "ㄏㄨㄟ4"
+ ],
+ "𩇽": [
+ "ㄈㄟ2"
+ ],
+ "𩈁": [
+ "ㄉㄨㄟ4"
+ ],
+ "𩈆": [
+ "ㄆㄚ1"
+ ],
+ "𩈇": [
+ "ㄋㄧㄡ3"
+ ],
+ "𩈈": [
+ "ㄆㄤ4"
+ ],
+ "𩈉": [
+ "ㄉㄢ4"
+ ],
+ "𩈊": [
+ "ㄉㄢ1",
+ "ㄉㄢ4"
+ ],
+ "𩈋": [
+ "ㄞ4"
+ ],
+ "𩈍": [
+ "ㄊㄧㄢ3"
+ ],
+ "𩈎": [
+ "ㄔㄠ3"
+ ],
+ "𩈏": [
+ "ㄠ3",
+ "ㄧㄡ3"
+ ],
+ "𩈐": [
+ "ㄇㄟ4"
+ ],
+ "𩈑": [
+ "ㄋㄢ3"
+ ],
+ "𩈔": [
+ "ㄅㄛ4"
+ ],
+ "𩈕": [
+ "ㄩ4",
+ "ㄔ4"
+ ],
+ "𩈖": [
+ "ㄒㄧㄢ1",
+ "ㄏㄢ1"
+ ],
+ "𩈗": [
+ "ㄇㄞ4"
+ ],
+ "𩈚": [
+ "ㄆㄧㄥ1"
+ ],
+ "𩈜": [
+ "ㄉㄨㄟ1"
+ ],
+ "𩈞": [
+ "ㄉㄠ4"
+ ],
+ "𩈡": [
+ "ㄒㄧㄥ4"
+ ],
+ "𩈢": [
+ "ㄋㄧ4",
+ "ㄋㄩ4"
+ ],
+ "𩈣": [
+ "ㄏㄢ1"
+ ],
+ "𩈤": [
+ "ㄔㄨ4"
+ ],
+ "𩈥": [
+ "ㄕㄨㄚ3"
+ ],
+ "𩈦": [
+ "ㄇㄢ3"
+ ],
+ "𩈬": [
+ "ㄨㄢ4"
+ ],
+ "𩈭": [
+ "ㄧ4"
+ ],
+ "𩈮": [
+ "ㄉㄧㄠ4"
+ ],
+ "𩈯": [
+ "ㄧㄢ1"
+ ],
+ "𩈱": [
+ "ㄨㄛ4"
+ ],
+ "𩈲": [
+ "ㄙㄨㄢ4"
+ ],
+ "𩈴": [
+ "ㄢ3"
+ ],
+ "𩈵": [
+ "ㄌㄢ2"
+ ],
+ "𩈶": [
+ "ㄋㄢ3"
+ ],
+ "𩈸": [
+ "ㄑㄧㄡ3"
+ ],
+ "𩈹": [
+ "ㄇㄧㄢ4"
+ ],
+ "𩈺": [
+ "ㄋㄨㄛ3"
+ ],
+ "𩈻": [
+ "ㄘㄢ2"
+ ],
+ "𩈼": [
+ "ㄘㄢ3"
+ ],
+ "𩉀": [
+ "ㄌㄢ4"
+ ],
+ "𩉁": [
+ "ㄊㄧㄢ3"
+ ],
+ "𩉂": [
+ "ㄧㄝ4"
+ ],
+ "𩉄": [
+ "ㄋㄧㄢ3"
+ ],
+ "𩉆": [
+ "ㄕㄨㄚ3"
+ ],
+ "𩉋": [
+ "ㄘ2"
+ ],
+ "𩉍": [
+ "ㄐㄧㄢ3"
+ ],
+ "𩉐": [
+ "ㄍㄢ4"
+ ],
+ "𩉔": [
+ "ㄐㄧㄢ4"
+ ],
+ "𩉕": [
+ "ㄍㄨㄛ2"
+ ],
+ "𩉗": [
+ "ㄓㄢ1"
+ ],
+ "𩉙": [
+ "ㄌㄨㄛ3"
+ ],
+ "𩉜": [
+ "ㄐㄧ1",
+ "ㄏㄤ4"
+ ],
+ "𩉝": [
+ "ㄍㄨㄟ4"
+ ],
+ "𩉡": [
+ "ㄐㄧㄚ2"
+ ],
+ "𩉢": [
+ "ㄐㄧ3"
+ ],
+ "𩉥": [
+ "ㄒㄩㄢ4"
+ ],
+ "𩉧": [
+ "ㄈㄥ1"
+ ],
+ "𩉫": [
+ "ㄅㄧ4"
+ ],
+ "𩉬": [
+ "ㄑㄧ2",
+ "ㄔ2"
+ ],
+ "𩉯": [
+ "ㄩㄢ2"
+ ],
+ "𩉰": [
+ "ㄤ4"
+ ],
+ "𩉱": [
+ "ㄉㄧ1"
+ ],
+ "𩉴": [
+ "ㄜ4"
+ ],
+ "𩉵": [
+ "ㄈㄣ2"
+ ],
+ "𩉸": [
+ "ㄐㄩ4"
+ ],
+ "𩉹": [
+ "ㄋㄧ3"
+ ],
+ "𩉺": [
+ "ㄊㄨㄛ2"
+ ],
+ "𩉼": [
+ "ㄕㄣ1"
+ ],
+ "𩉽": [
+ "ㄈㄨ2"
+ ],
+ "𩉾": [
+ "ㄒㄧㄚ2"
+ ],
+ "𩉿": [
+ "ㄑㄩ2"
+ ],
+ "𩊀": [
+ "ㄆㄛ4"
+ ],
+ "𩊁": [
+ "ㄨㄢ3"
+ ],
+ "𩊂": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩊃": [
+ "ㄇㄚ4"
+ ],
+ "𩊄": [
+ "ㄓㄡ4"
+ ],
+ "𩊅": [
+ "ㄅㄠ4"
+ ],
+ "𩊇": [
+ "ㄩ4"
+ ],
+ "𩊌": [
+ "ㄅㄥ3"
+ ],
+ "𩊍": [
+ "ㄇㄞ4"
+ ],
+ "𩊏": [
+ "ㄐㄧㄚ1"
+ ],
+ "𩊑": [
+ "ㄧㄤ3"
+ ],
+ "𩊓": [
+ "ㄎㄨㄚ3",
+ "ㄎㄨ4"
+ ],
+ "𩊔": [
+ "ㄐㄧㄠ4"
+ ],
+ "𩊖": [
+ "ㄅㄧㄥ3"
+ ],
+ "𩊚": [
+ "ㄌㄨㄛ4"
+ ],
+ "𩊛": [
+ "ㄍㄨㄟ3"
+ ],
+ "𩊜": [
+ "ㄉㄨㄛ4"
+ ],
+ "𩊝": [
+ "ㄓ4"
+ ],
+ "𩊡": [
+ "ㄓㄣ4"
+ ],
+ "𩊢": [
+ "ㄜ4"
+ ],
+ "𩊣": [
+ "ㄓㄨ1"
+ ],
+ "𩊤": [
+ "ㄅㄚ2"
+ ],
+ "𩊨": [
+ "ㄓㄣ4"
+ ],
+ "𩊩": [
+ "ㄈㄥ1",
+ "ㄈㄥ2"
+ ],
+ "𩊪": [
+ "ㄉㄡ4"
+ ],
+ "𩊫": [
+ "ㄋㄧㄢ3"
+ ],
+ "𩊬": [
+ "ㄅㄨ4"
+ ],
+ "𩊭": [
+ "ㄉㄨㄟ4"
+ ],
+ "𩊮": [
+ "ㄕㄚ1",
+ "ㄙㄨㄛ1"
+ ],
+ "𩊯": [
+ "ㄙㄜ4"
+ ],
+ "𩊰": [
+ "ㄅㄧ4"
+ ],
+ "𩊴": [
+ "ㄓ4"
+ ],
+ "𩊵": [
+ "ㄓㄜ2"
+ ],
+ "𩊶": [
+ "ㄅㄨ4"
+ ],
+ "𩊺": [
+ "ㄐㄩㄝ2"
+ ],
+ "𩊻": [
+ "ㄒㄩㄣ4"
+ ],
+ "𩊿": [
+ "ㄒㄧ4"
+ ],
+ "𩋁": [
+ "ㄓㄨㄛ2"
+ ],
+ "𩋂": [
+ "ㄅㄞ4"
+ ],
+ "𩋃": [
+ "ㄧㄠ2",
+ "ㄊㄠ2"
+ ],
+ "𩋄": [
+ "ㄔㄡ3"
+ ],
+ "𩋅": [
+ "ㄊㄚ4"
+ ],
+ "𩋆": [
+ "ㄑㄧㄢ1"
+ ],
+ "𩋈": [
+ "ㄋㄠ4"
+ ],
+ "𩋉": [
+ "ㄩ4"
+ ],
+ "𩋊": [
+ "ㄜ4"
+ ],
+ "𩋋": [
+ "ㄐㄧㄢ1"
+ ],
+ "𩋌": [
+ "ㄧ4"
+ ],
+ "𩋍": [
+ "ㄒㄧㄠ1"
+ ],
+ "𩋏": [
+ "ㄋㄧㄝ4"
+ ],
+ "𩋒": [
+ "ㄅㄧㄥ1"
+ ],
+ "𩋗": [
+ "ㄍㄨㄛ3"
+ ],
+ "𩋘": [
+ "ㄒㄧㄝ2"
+ ],
+ "𩋙": [
+ "ㄉㄧㄠ4"
+ ],
+ "𩋜": [
+ "ㄐㄩ1"
+ ],
+ "𩋝": [
+ "ㄙㄨㄛ3"
+ ],
+ "𩋞": [
+ "ㄉㄧㄝ2"
+ ],
+ "𩋟": [
+ "ㄈㄨ2",
+ "ㄈㄨ4"
+ ],
+ "𩋠": [
+ "ㄇㄧㄢ3"
+ ],
+ "𩋡": [
+ "ㄕ4"
+ ],
+ "𩋢": [
+ "ㄒㄩㄢ4",
+ "ㄩㄣ4"
+ ],
+ "𩋣": [
+ "ㄊㄧ2"
+ ],
+ "𩋤": [
+ "ㄩ4"
+ ],
+ "𩋧": [
+ "ㄒㄧㄝ2",
+ "ㄎㄞ4"
+ ],
+ "𩋨": [
+ "ㄈㄨ2"
+ ],
+ "𩋩": [
+ "ㄓ4"
+ ],
+ "𩋪": [
+ "ㄋㄧ3"
+ ],
+ "𩋫": [
+ "ㄒㄩㄢ4"
+ ],
+ "𩋬": [
+ "ㄧㄤ2"
+ ],
+ "𩋮": [
+ "ㄈㄥ3",
+ "ㄅㄤ1"
+ ],
+ "𩋯": [
+ "ㄗㄨㄥ4"
+ ],
+ "𩋰": [
+ "ㄓㄡ4"
+ ],
+ "𩋱": [
+ "ㄒㄩㄢ1"
+ ],
+ "𩋵": [
+ "ㄓㄨ1"
+ ],
+ "𩋷": [
+ "ㄌㄚ5"
+ ],
+ "𩋹": [
+ "ㄧㄥ4"
+ ],
+ "𩋺": [
+ "ㄍㄠ4"
+ ],
+ "𩋻": [
+ "ㄎㄨㄛ4"
+ ],
+ "𩋽": [
+ "ㄜ2"
+ ],
+ "𩋾": [
+ "ㄨㄟ2",
+ "ㄨㄟ3",
+ "ㄒㄩㄝ1"
+ ],
+ "𩋿": [
+ "ㄇㄟ2"
+ ],
+ "𩌃": [
+ "ㄏㄨㄞ2",
+ "ㄍㄨㄟ4"
+ ],
+ "𩌄": [
+ "ㄔㄡ3",
+ "ㄓㄡ1"
+ ],
+ "𩌆": [
+ "ㄙㄨㄛ3"
+ ],
+ "𩌇": [
+ "ㄊㄚ4"
+ ],
+ "𩌈": [
+ "ㄙㄨㄛ3"
+ ],
+ "𩌉": [
+ "ㄊㄚ4"
+ ],
+ "𩌊": [
+ "ㄒㄩㄝ4"
+ ],
+ "𩌌": [
+ "ㄍㄨㄥ3"
+ ],
+ "𩌍": [
+ "ㄐㄧㄚ3"
+ ],
+ "𩌏": [
+ "ㄅㄛ2",
+ "ㄈㄨ2",
+ "ㄅㄨ4",
+ "ㄈㄨ4"
+ ],
+ "𩌐": [
+ "ㄊㄚ4"
+ ],
+ "𩌑": [
+ "ㄩㄢ3"
+ ],
+ "𩌘": [
+ "ㄊㄚ4"
+ ],
+ "𩌝": [
+ "ㄔㄨㄟ2"
+ ],
+ "𩌠": [
+ "ㄒㄩㄥ1"
+ ],
+ "𩌡": [
+ "ㄏㄜ2",
+ "ㄐㄩㄝ1"
+ ],
+ "𩌢": [
+ "ㄙㄨㄛ1"
+ ],
+ "𩌧": [
+ "ㄇㄛ4"
+ ],
+ "𩌨": [
+ "ㄔㄨㄥ2"
+ ],
+ "𩌩": [
+ "ㄙㄨㄟ1"
+ ],
+ "𩌪": [
+ "ㄗㄜ2"
+ ],
+ "𩌫": [
+ "ㄌㄨ4"
+ ],
+ "𩌬": [
+ "ㄓㄤ1"
+ ],
+ "𩌭": [
+ "ㄌㄨㄛ4"
+ ],
+ "𩌮": [
+ "ㄒㄩ4"
+ ],
+ "𩌯": [
+ "ㄐㄧㄢ1"
+ ],
+ "𩌰": [
+ "ㄕㄢ1"
+ ],
+ "𩌲": [
+ "ㄒㄩ4"
+ ],
+ "𩌾": [
+ "ㄐㄧㄤ3"
+ ],
+ "𩍂": [
+ "ㄅㄠ4"
+ ],
+ "𩍃": [
+ "ㄇㄞ2"
+ ],
+ "𩍅": [
+ "ㄊㄨㄥ2"
+ ],
+ "𩍆": [
+ "ㄒㄧ4"
+ ],
+ "𩍉": [
+ "ㄖㄨㄥ2"
+ ],
+ "𩍋": [
+ "ㄕㄥ2"
+ ],
+ "𩍌": [
+ "ㄓㄡ4"
+ ],
+ "𩍎": [
+ "ㄐㄧㄢ1"
+ ],
+ "𩍏": [
+ "ㄈㄨ4"
+ ],
+ "𩍐": [
+ "ㄉㄥ4"
+ ],
+ "𩍓": [
+ "ㄩㄥ1"
+ ],
+ "𩍔": [
+ "ㄐㄩ1",
+ "ㄑㄩ1"
+ ],
+ "𩍖": [
+ "ㄧ4"
+ ],
+ "𩍗": [
+ "ㄅㄤ1"
+ ],
+ "𩍙": [
+ "ㄙㄜ4"
+ ],
+ "𩍚": [
+ "ㄙㄨㄟ4"
+ ],
+ "𩍜": [
+ "ㄉㄨㄛ2"
+ ],
+ "𩍝": [
+ "ㄒㄧㄝ4"
+ ],
+ "𩍡": [
+ "ㄏㄨㄢ2"
+ ],
+ "𩍥": [
+ "ㄖㄨ3"
+ ],
+ "𩍦": [
+ "ㄋㄧ3"
+ ],
+ "𩍧": [
+ "ㄓㄡ4"
+ ],
+ "𩍨": [
+ "ㄍㄨㄟ4"
+ ],
+ "𩍪": [
+ "ㄌㄨㄛ4"
+ ],
+ "𩍲": [
+ "ㄓ1",
+ "ㄔㄢ4"
+ ],
+ "𩍳": [
+ "ㄒㄩ4"
+ ],
+ "𩍵": [
+ "ㄓ1"
+ ],
+ "𩍷": [
+ "ㄐㄩㄝ2"
+ ],
+ "𩍸": [
+ "ㄐㄩ1"
+ ],
+ "𩍻": [
+ "ㄩㄢ2"
+ ],
+ "𩍼": [
+ "ㄌㄨ2"
+ ],
+ "𩍿": [
+ "ㄅㄛ2",
+ "ㄈㄨ4"
+ ],
+ "𩎂": [
+ "ㄖㄨㄥ2"
+ ],
+ "𩎃": [
+ "ㄒㄧㄝ4"
+ ],
+ "𩎉": [
+ "ㄒㄧ3"
+ ],
+ "𩎊": [
+ "ㄌㄨㄛ2"
+ ],
+ "𩎎": [
+ "ㄍㄜ2"
+ ],
+ "𩎑": [
+ "ㄗㄨㄢ1"
+ ],
+ "𩎒": [
+ "ㄏㄢ4",
+ "ㄐㄧㄢ1"
+ ],
+ "𩎔": [
+ "ㄐㄧㄠ1"
+ ],
+ "𩎕": [
+ "ㄙㄚ3"
+ ],
+ "𩎖": [
+ "ㄑㄧㄣ2",
+ "ㄑㄧㄢ2"
+ ],
+ "𩎗": [
+ "ㄑㄩㄣ1"
+ ],
+ "𩎘": [
+ "ㄆㄠ2"
+ ],
+ "𩎙": [
+ "ㄩㄝ4"
+ ],
+ "𩎚": [
+ "ㄔㄜ4"
+ ],
+ "𩎛": [
+ "ㄈㄨ2"
+ ],
+ "𩎜": [
+ "ㄆㄟ1"
+ ],
+ "𩎟": [
+ "ㄇㄟ4",
+ "ㄇㄛ4",
+ "ㄨㄚ4"
+ ],
+ "𩎢": [
+ "ㄊㄠ1"
+ ],
+ "𩎤": [
+ "ㄎㄣ1"
+ ],
+ "𩎥": [
+ "ㄒㄧ4"
+ ],
+ "𩎫": [
+ "ㄉㄨㄛ4"
+ ],
+ "𩎭": [
+ "ㄧ4"
+ ],
+ "𩎰": [
+ "ㄙㄨㄟ4"
+ ],
+ "𩎲": [
+ "ㄒㄧㄚ2"
+ ],
+ "𩎳": [
+ "ㄐㄩㄢ1"
+ ],
+ "𩎵": [
+ "ㄨㄟ2"
+ ],
+ "𩎷": [
+ "ㄧ4"
+ ],
+ "𩎹": [
+ "ㄩ4"
+ ],
+ "𩎻": [
+ "ㄅㄞ4"
+ ],
+ "𩎼": [
+ "ㄊㄨㄛ2"
+ ],
+ "𩎽": [
+ "ㄊㄚ4"
+ ],
+ "𩎾": [
+ "ㄆㄠ2"
+ ],
+ "𩏂": [
+ "ㄅㄧㄥ3",
+ "ㄅㄧ4"
+ ],
+ "𩏅": [
+ "ㄩㄣ4"
+ ],
+ "𩏆": [
+ "ㄩㄣ4"
+ ],
+ "𩏇": [
+ "ㄉㄨㄢ4"
+ ],
+ "𩏈": [
+ "ㄖㄨㄢ3"
+ ],
+ "𩏉": [
+ "ㄨㄟ2"
+ ],
+ "𩏏": [
+ "ㄨㄟ2"
+ ],
+ "𩏐": [
+ "ㄍㄨㄟ4",
+ "ㄨㄟ3"
+ ],
+ "𩏒": [
+ "ㄉㄚ2"
+ ],
+ "𩏓": [
+ "ㄒㄧㄚ2"
+ ],
+ "𩏖": [
+ "ㄏㄨㄣ4"
+ ],
+ "𩏗": [
+ "ㄐㄩㄢ3"
+ ],
+ "𩏘": [
+ "ㄙㄨㄟ1"
+ ],
+ "𩏚": [
+ "ㄙㄨㄟ4"
+ ],
+ "𩏝": [
+ "ㄌㄡ2"
+ ],
+ "𩏞": [
+ "ㄅㄞ4"
+ ],
+ "𩏟": [
+ "ㄩ4"
+ ],
+ "𩏠": [
+ "ㄓㄥ4"
+ ],
+ "𩏡": [
+ "ㄍㄨㄟ4"
+ ],
+ "𩏣": [
+ "ㄎㄨㄟ1"
+ ],
+ "𩏤": [
+ "ㄍㄠ1"
+ ],
+ "𩏥": [
+ "ㄉㄢ1"
+ ],
+ "𩏩": [
+ "ㄒㄧㄢ3"
+ ],
+ "𩏪": [
+ "ㄓㄞ2"
+ ],
+ "𩏫": [
+ "ㄙㄜ4"
+ ],
+ "𩏭": [
+ "ㄎㄜ1"
+ ],
+ "𩏮": [
+ "ㄅㄨ3"
+ ],
+ "𩏯": [
+ "ㄅㄛ2"
+ ],
+ "𩏲": [
+ "ㄙㄨㄟ4"
+ ],
+ "𩏴": [
+ "ㄩ4"
+ ],
+ "𩏵": [
+ "ㄅㄨ3",
+ "ㄅㄨ4"
+ ],
+ "𩏶": [
+ "ㄐㄧㄡ1"
+ ],
+ "𩏷": [
+ "ㄐㄧㄡ1",
+ "ㄐㄧㄠ4"
+ ],
+ "𩏹": [
+ "ㄐㄩㄢ4"
+ ],
+ "𩏺": [
+ "ㄐㄩㄝ2"
+ ],
+ "𩏼": [
+ "ㄋㄚ4"
+ ],
+ "𩏽": [
+ "ㄓㄞ2"
+ ],
+ "𩏾": [
+ "ㄊㄠ1"
+ ],
+ "𩏿": [
+ "ㄨㄟ3"
+ ],
+ "𩐀": [
+ "ㄒㄧㄚ2"
+ ],
+ "𩐁": [
+ "ㄒㄧㄝ4"
+ ],
+ "𩐅": [
+ "ㄙㄚ4"
+ ],
+ "𩐆": [
+ "ㄐㄧ1"
+ ],
+ "𩐉": [
+ "ㄒㄧㄝ4"
+ ],
+ "𩐌": [
+ "ㄉㄨㄟ4"
+ ],
+ "𩐍": [
+ "ㄗ3"
+ ],
+ "𩐘": [
+ "ㄩㄢ3"
+ ],
+ "𩐙": [
+ "ㄑㄧㄣ4"
+ ],
+ "𩐚": [
+ "ㄈㄨ2"
+ ],
+ "𩐛": [
+ "ㄆㄥ2"
+ ],
+ "𩐜": [
+ "ㄆㄠ2"
+ ],
+ "𩐞": [
+ "ㄧㄣ4"
+ ],
+ "𩐠": [
+ "ㄏㄨㄥ1"
+ ],
+ "𩐡": [
+ "ㄗㄨ2"
+ ],
+ "𩐣": [
+ "ㄍㄨㄥ1"
+ ],
+ "𩐤": [
+ "ㄉㄨㄥ4"
+ ],
+ "𩐥": [
+ "ㄏㄜ1"
+ ],
+ "𩐦": [
+ "ㄨㄛ4"
+ ],
+ "𩐨": [
+ "ㄆㄤ1"
+ ],
+ "𩐫": [
+ "ㄙㄨ4"
+ ],
+ "𩐬": [
+ "ㄎㄢ3"
+ ],
+ "𩐭": [
+ "ㄋㄧㄝ4"
+ ],
+ "𩐮": [
+ "ㄏㄠ2"
+ ],
+ "𩐯": [
+ "ㄈㄥ4"
+ ],
+ "𩐰": [
+ "ㄜ4"
+ ],
+ "𩐱": [
+ "ㄧㄝ4"
+ ],
+ "𩐴": [
+ "ㄊㄧㄥ2"
+ ],
+ "𩐵": [
+ "ㄉㄨㄥ4"
+ ],
+ "𩐶": [
+ "ㄓㄜ2"
+ ],
+ "𩐷": [
+ "ㄙㄤ1"
+ ],
+ "𩐻": [
+ "ㄇㄛ4"
+ ],
+ "𩐼": [
+ "ㄙㄨ4"
+ ],
+ "𩐾": [
+ "ㄌㄜ4"
+ ],
+ "𩑀": [
+ "ㄆㄨ3"
+ ],
+ "𩑁": [
+ "ㄜ2"
+ ],
+ "𩑂": [
+ "ㄓㄨㄛ2"
+ ],
+ "𩑃": [
+ "ㄧㄝ4"
+ ],
+ "𩑇": [
+ "ㄒㄧㄤ1"
+ ],
+ "𩑈": [
+ "ㄍㄨㄤ4"
+ ],
+ "𩑉": [
+ "ㄖㄣ3"
+ ],
+ "𩑊": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩑍": [
+ "ㄠ4"
+ ],
+ "𩑐": [
+ "ㄔㄞ1"
+ ],
+ "𩑒": [
+ "ㄉㄨㄛ2"
+ ],
+ "𩑓": [
+ "ㄑㄩㄥ2"
+ ],
+ "𩑔": [
+ "ㄎㄨ1",
+ "ㄧㄚ4"
+ ],
+ "𩑕": [
+ "ㄒㄩ1"
+ ],
+ "𩑖": [
+ "ㄏㄨㄢ2"
+ ],
+ "𩑗": [
+ "ㄧㄠ1"
+ ],
+ "𩑘": [
+ "ㄓㄣ4"
+ ],
+ "𩑙": [
+ "ㄊㄧㄥ3"
+ ],
+ "𩑚": [
+ "ㄅㄥ3",
+ "ㄌㄟ4"
+ ],
+ "𩑝": [
+ "ㄤ2"
+ ],
+ "𩑟": [
+ "ㄎㄢ1",
+ "ㄑㄧㄢ1"
+ ],
+ "𩑡": [
+ "ㄎㄨ1",
+ "ㄍㄣ3"
+ ],
+ "𩑢": [
+ "ㄆㄟ2",
+ "ㄅㄞ1"
+ ],
+ "𩑣": [
+ "ㄧㄡ4"
+ ],
+ "𩑤": [
+ "ㄠ3"
+ ],
+ "𩑥": [
+ "ㄇㄣ2"
+ ],
+ "𩑦": [
+ "ㄇㄛ4"
+ ],
+ "𩑬": [
+ "ㄈㄨ3",
+ "ㄍㄨㄟ1"
+ ],
+ "𩑭": [
+ "ㄑㄧㄥ1"
+ ],
+ "𩑮": [
+ "ㄌㄚ4"
+ ],
+ "𩑯": [
+ "ㄉㄡ3"
+ ],
+ "𩑰": [
+ "ㄊㄢ3"
+ ],
+ "𩑳": [
+ "ㄑㄧㄢ3"
+ ],
+ "𩑴": [
+ "ㄧㄠ4"
+ ],
+ "𩑵": [
+ "ㄨㄟ4"
+ ],
+ "𩑶": [
+ "ㄏㄨ2",
+ "ㄎㄨ1"
+ ],
+ "𩑷": [
+ "ㄇㄛ4"
+ ],
+ "𩑸": [
+ "ㄏㄜ1"
+ ],
+ "𩑹": [
+ "ㄒㄩㄢ4"
+ ],
+ "𩑻": [
+ "ㄅㄧ4",
+ "ㄆㄛ2"
+ ],
+ "𩑼": [
+ "ㄆㄛ1"
+ ],
+ "𩑾": [
+ "ㄉㄧ1"
+ ],
+ "𩒀": [
+ "ㄓㄣ3"
+ ],
+ "𩒂": [
+ "ㄕ1"
+ ],
+ "𩒃": [
+ "ㄎㄢ3"
+ ],
+ "𩒄": [
+ "ㄘㄜ4"
+ ],
+ "𩒇": [
+ "ㄒㄩ1"
+ ],
+ "𩒈": [
+ "ㄓㄣ3"
+ ],
+ "𩒊": [
+ "ㄓㄨ3"
+ ],
+ "𩒏": [
+ "ㄏㄨㄟ4"
+ ],
+ "𩒐": [
+ "ㄔ3"
+ ],
+ "𩒓": [
+ "ㄏㄨㄥ3"
+ ],
+ "𩒔": [
+ "ㄋㄡ2"
+ ],
+ "𩒕": [
+ "ㄋㄧㄝ4",
+ "ㄆㄛ4",
+ "ㄜ4"
+ ],
+ "𩒖": [
+ "ㄧㄢ4"
+ ],
+ "𩒘": [
+ "ㄔㄨㄥ3"
+ ],
+ "𩒙": [
+ "ㄈㄨ3",
+ "ㄍㄨㄟ4"
+ ],
+ "𩒚": [
+ "ㄍㄨㄤ1"
+ ],
+ "𩒛": [
+ "ㄑㄧ1"
+ ],
+ "𩒝": [
+ "ㄍㄣ3"
+ ],
+ "𩒞": [
+ "ㄊㄧㄥ3"
+ ],
+ "𩒢": [
+ "ㄊㄢ3"
+ ],
+ "𩒣": [
+ "ㄑㄧㄢ3"
+ ],
+ "𩒦": [
+ "ㄐㄧㄡ4",
+ "ㄒㄧㄣ4"
+ ],
+ "𩒧": [
+ "ㄒㄩ1"
+ ],
+ "𩒨": [
+ "ㄑㄧ3"
+ ],
+ "𩒪": [
+ "ㄓㄣ4"
+ ],
+ "𩒮": [
+ "ㄑㄧㄡ2"
+ ],
+ "𩒰": [
+ "ㄜ3"
+ ],
+ "𩒳": [
+ "ㄏㄨㄟ4"
+ ],
+ "𩒴": [
+ "ㄏㄨㄥ4"
+ ],
+ "𩒵": [
+ "ㄑㄧㄥ3"
+ ],
+ "𩒷": [
+ "ㄔㄜ1",
+ "ㄖㄨㄥ3"
+ ],
+ "𩒺": [
+ "ㄈㄨ4"
+ ],
+ "𩒼": [
+ "ㄏㄨㄥ1"
+ ],
+ "𩒽": [
+ "ㄒㄧ1"
+ ],
+ "𩒾": [
+ "ㄨ2"
+ ],
+ "𩒿": [
+ "ㄇㄤ2"
+ ],
+ "𩓂": [
+ "ㄊㄧ1"
+ ],
+ "𩓅": [
+ "ㄏㄨㄥ1"
+ ],
+ "𩓐": [
+ "ㄅㄛ2"
+ ],
+ "𩓒": [
+ "ㄑㄧㄣ3"
+ ],
+ "𩓓": [
+ "ㄍㄣ3"
+ ],
+ "𩓖": [
+ "ㄈㄨ2"
+ ],
+ "𩓗": [
+ "ㄎㄨㄟ3"
+ ],
+ "𩓝": [
+ "ㄅㄧㄝ2"
+ ],
+ "𩓞": [
+ "ㄐㄧㄥ4"
+ ],
+ "𩓟": [
+ "ㄎㄢ3"
+ ],
+ "𩓠": [
+ "ㄍㄨㄟ1"
+ ],
+ "𩓢": [
+ "ㄍㄠ3"
+ ],
+ "𩓣": [
+ "ㄒㄩ1"
+ ],
+ "𩓤": [
+ "ㄢ4"
+ ],
+ "𩓥": [
+ "ㄩㄝ4"
+ ],
+ "𩓦": [
+ "ㄨ4"
+ ],
+ "𩓧": [
+ "ㄧ2"
+ ],
+ "𩓨": [
+ "ㄐㄧㄥ1"
+ ],
+ "𩓪": [
+ "ㄌㄨ4"
+ ],
+ "𩓫": [
+ "ㄑㄩㄢ2"
+ ],
+ "𩓬": [
+ "ㄊㄨㄟ2"
+ ],
+ "𩓮": [
+ "ㄐㄧ4"
+ ],
+ "𩓺": [
+ "ㄐㄩㄥ3"
+ ],
+ "𩓻": [
+ "ㄐㄩㄝ2"
+ ],
+ "𩓼": [
+ "ㄆㄧㄝ1"
+ ],
+ "𩓽": [
+ "ㄎㄨㄣ1"
+ ],
+ "𩔀": [
+ "ㄨㄞ4"
+ ],
+ "𩔁": [
+ "ㄏㄨㄟ4"
+ ],
+ "𩔂": [
+ "ㄉㄨㄣ4"
+ ],
+ "𩔃": [
+ "ㄩㄢ3"
+ ],
+ "𩔄": [
+ "ㄐㄧㄝ2"
+ ],
+ "𩔆": [
+ "ㄍㄨㄟ4"
+ ],
+ "𩔇": [
+ "ㄍㄠ3"
+ ],
+ "𩔈": [
+ "ㄆㄛ4"
+ ],
+ "𩔉": [
+ "ㄇㄣ2",
+ "ㄇㄧㄣ2",
+ "ㄏㄨㄣ1"
+ ],
+ "𩔊": [
+ "ㄓㄨㄢ4"
+ ],
+ "𩔋": [
+ "ㄏㄤ4"
+ ],
+ "𩔔": [
+ "ㄩㄥ2"
+ ],
+ "𩔕": [
+ "ㄑㄧㄡ2"
+ ],
+ "𩔗": [
+ "ㄌㄟ4"
+ ],
+ "𩔘": [
+ "ㄤ2"
+ ],
+ "𩔙": [
+ "ㄆㄧ3",
+ "ㄒㄧㄣ4"
+ ],
+ "𩔚": [
+ "ㄨㄥ1",
+ "ㄨㄥ3"
+ ],
+ "𩔝": [
+ "ㄑㄧㄣ4"
+ ],
+ "𩔟": [
+ "ㄑㄧㄣ3"
+ ],
+ "𩔠": [
+ "ㄇㄧㄝ4"
+ ],
+ "𩔡": [
+ "ㄉㄡ1"
+ ],
+ "𩔢": [
+ "ㄇㄧ2"
+ ],
+ "𩔣": [
+ "ㄓㄢ1"
+ ],
+ "𩔥": [
+ "ㄑㄧㄥ3"
+ ],
+ "𩔦": [
+ "ㄧ2"
+ ],
+ "𩔮": [
+ "ㄅㄢ1"
+ ],
+ "𩔱": [
+ "ㄐㄩㄢ1"
+ ],
+ "𩔳": [
+ "ㄗㄜ2"
+ ],
+ "𩔴": [
+ "ㄒㄩ4"
+ ],
+ "𩔵": [
+ "ㄌㄢ2"
+ ],
+ "𩔶": [
+ "ㄇㄚ2"
+ ],
+ "𩔷": [
+ "ㄇㄚ2"
+ ],
+ "𩔸": [
+ "ㄡ1"
+ ],
+ "𩔹": [
+ "ㄅㄟ1"
+ ],
+ "𩔻": [
+ "ㄆㄡ2"
+ ],
+ "𩔼": [
+ "ㄒㄩ4"
+ ],
+ "𩕀": [
+ "ㄠ4"
+ ],
+ "𩕆": [
+ "ㄏㄨㄥ3"
+ ],
+ "𩕉": [
+ "ㄏㄨㄥ3"
+ ],
+ "𩕊": [
+ "ㄓㄢ3"
+ ],
+ "𩕌": [
+ "ㄙㄣ3"
+ ],
+ "𩕍": [
+ "ㄍㄠ3",
+ "ㄏㄠ2"
+ ],
+ "𩕏": [
+ "ㄆㄛ2",
+ "ㄈㄢ2"
+ ],
+ "𩕐": [
+ "ㄌㄧㄠ4"
+ ],
+ "𩕕": [
+ "ㄨㄞ4"
+ ],
+ "𩕖": [
+ "ㄒㄩㄢ1"
+ ],
+ "𩕜": [
+ "ㄎㄨㄟ2"
+ ],
+ "𩕟": [
+ "ㄜ4"
+ ],
+ "𩕠": [
+ "ㄏㄢ4"
+ ],
+ "𩕡": [
+ "ㄙㄜ4"
+ ],
+ "𩕤": [
+ "ㄉㄢ4"
+ ],
+ "𩕪": [
+ "ㄒㄩㄢ1"
+ ],
+ "𩕬": [
+ "ㄜ4"
+ ],
+ "𩕭": [
+ "ㄍㄞ4"
+ ],
+ "𩕯": [
+ "ㄉㄠ1"
+ ],
+ "𩕱": [
+ "ㄇㄥ3"
+ ],
+ "𩕲": [
+ "ㄧ1"
+ ],
+ "𩕳": [
+ "ㄋㄧㄥ3"
+ ],
+ "𩕵": [
+ "ㄆㄧㄣ2"
+ ],
+ "𩕹": [
+ "ㄘㄤ1"
+ ],
+ "𩕾": [
+ "ㄩㄢ4"
+ ],
+ "𩖀": [
+ "ㄜ4"
+ ],
+ "𩖁": [
+ "ㄋㄧㄝ4",
+ "ㄧㄚ2"
+ ],
+ "𩖄": [
+ "ㄧㄣ3"
+ ],
+ "𩖇": [
+ "ㄑㄧㄠ1"
+ ],
+ "𩖉": [
+ "ㄏㄨㄥ1"
+ ],
+ "𩖊": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩖌": [
+ "ㄔㄢ1"
+ ],
+ "𩖍": [
+ "ㄧㄥ3"
+ ],
+ "𩖒": [
+ "ㄍㄨㄢ1"
+ ],
+ "𩖔": [
+ "ㄋㄧㄠ3"
+ ],
+ "𩖕": [
+ "ㄒㄩ1"
+ ],
+ "𩖖": [
+ "ㄊㄢ2"
+ ],
+ "𩖗": [
+ "ㄐㄧㄣ4"
+ ],
+ "𩖛": [
+ "ㄆㄥ2"
+ ],
+ "𩖝": [
+ "ㄌㄧㄠ2"
+ ],
+ "𩖠": [
+ "ㄅㄟ4"
+ ],
+ "𩖣": [
+ "ㄒㄧㄣ2",
+ "ㄅㄚ2"
+ ],
+ "𩖤": [
+ "ㄊㄨㄣ2"
+ ],
+ "𩖥": [
+ "ㄔㄠ1"
+ ],
+ "𩖦": [
+ "ㄍㄢ1"
+ ],
+ "𩖨": [
+ "ㄏㄨ1"
+ ],
+ "𩖩": [
+ "ㄨㄤ3"
+ ],
+ "𩖬": [
+ "ㄈㄨ2"
+ ],
+ "𩖭": [
+ "ㄆㄟ4"
+ ],
+ "𩖯": [
+ "ㄋㄠ2"
+ ],
+ "𩖰": [
+ "ㄒㄩㄣ2",
+ "ㄒㄧㄣ2"
+ ],
+ "𩖱": [
+ "ㄒㄩㄝ4"
+ ],
+ "𩖴": [
+ "ㄌㄧㄡ3"
+ ],
+ "𩖵": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩖶": [
+ "ㄒㄩㄝ4"
+ ],
+ "𩖷": [
+ "ㄑㄩ1"
+ ],
+ "𩖸": [
+ "ㄏㄠ2"
+ ],
+ "𩖹": [
+ "ㄧ2"
+ ],
+ "𩖺": [
+ "ㄏㄢ4"
+ ],
+ "𩖼": [
+ "ㄈㄨ2"
+ ],
+ "𩖽": [
+ "ㄅㄚ2"
+ ],
+ "𩖾": [
+ "ㄧ2"
+ ],
+ "𩗀": [
+ "ㄅㄛ2"
+ ],
+ "𩗄": [
+ "ㄏㄨㄥ1"
+ ],
+ "𩗅": [
+ "ㄌㄧ4"
+ ],
+ "𩗉": [
+ "ㄙㄚ4"
+ ],
+ "𩗊": [
+ "ㄒㄧ1"
+ ],
+ "𩗎": [
+ "ㄕ4"
+ ],
+ "𩗏": [
+ "ㄆㄧㄠ1"
+ ],
+ "𩗐": [
+ "ㄏㄨㄚ4"
+ ],
+ "𩗑": [
+ "ㄧ2"
+ ],
+ "𩗒": [
+ "ㄅㄛ2"
+ ],
+ "𩗓": [
+ "ㄅㄛ2"
+ ],
+ "𩗔": [
+ "ㄋㄟ3"
+ ],
+ "𩗕": [
+ "ㄑㄧㄡ2"
+ ],
+ "𩗘": [
+ "ㄨㄟ3"
+ ],
+ "𩗙": [
+ "ㄔㄜ4"
+ ],
+ "𩗚": [
+ "ㄧㄡ2"
+ ],
+ "𩗜": [
+ "ㄨㄟ4"
+ ],
+ "𩗝": [
+ "ㄏㄨㄟ3"
+ ],
+ "𩗞": [
+ "ㄙㄚ4"
+ ],
+ "𩗢": [
+ "ㄏㄨㄥ4"
+ ],
+ "𩗣": [
+ "ㄙㄡ1"
+ ],
+ "𩗤": [
+ "ㄏㄢ4"
+ ],
+ "𩗥": [
+ "ㄆㄠ2"
+ ],
+ "𩗧": [
+ "ㄈㄤ2"
+ ],
+ "𩗩": [
+ "ㄌㄧㄡ2"
+ ],
+ "𩗪": [
+ "ㄓㄡ4"
+ ],
+ "𩗫": [
+ "ㄆㄧ2"
+ ],
+ "𩗭": [
+ "ㄌㄧ4"
+ ],
+ "𩗰": [
+ "ㄔㄨㄟ2"
+ ],
+ "𩗱": [
+ "ㄒㄧ1"
+ ],
+ "𩗲": [
+ "ㄓㄥ1"
+ ],
+ "𩗴": [
+ "ㄅㄥ4"
+ ],
+ "𩗵": [
+ "ㄓㄥ1"
+ ],
+ "𩗶": [
+ "ㄙㄨㄟ4"
+ ],
+ "𩗷": [
+ "ㄧㄢ3"
+ ],
+ "𩗼": [
+ "ㄑㄧㄥ1"
+ ],
+ "𩗽": [
+ "ㄨ4"
+ ],
+ "𩗾": [
+ "ㄌㄧㄤ3"
+ ],
+ "𩘀": [
+ "ㄓㄠ4"
+ ],
+ "𩘁": [
+ "ㄌㄧㄤ2"
+ ],
+ "𩘅": [
+ "ㄐㄧㄝ1"
+ ],
+ "𩘇": [
+ "ㄏㄨㄥ1"
+ ],
+ "𩘈": [
+ "ㄧㄡ1"
+ ],
+ "𩘊": [
+ "ㄌㄚ4"
+ ],
+ "𩘋": [
+ "ㄏㄡ4"
+ ],
+ "𩘍": [
+ "ㄩㄢ4"
+ ],
+ "𩘎": [
+ "ㄏㄨㄥ2"
+ ],
+ "𩘏": [
+ "ㄧㄝ4"
+ ],
+ "𩘑": [
+ "ㄧㄥ3",
+ "ㄧㄥ1"
+ ],
+ "𩘒": [
+ "ㄒㄩㄢ3",
+ "ㄐㄩㄢ1"
+ ],
+ "𩘓": [
+ "ㄧㄡ2"
+ ],
+ "𩘘": [
+ "ㄑㄩㄢ2"
+ ],
+ "𩘜": [
+ "ㄊㄤ2"
+ ],
+ "𩘝": [
+ "ㄙㄨㄛ3"
+ ],
+ "𩘟": [
+ "ㄌㄧ4"
+ ],
+ "𩘠": [
+ "ㄙㄡ1"
+ ],
+ "𩘡": [
+ "ㄌㄧ4"
+ ],
+ "𩘤": [
+ "ㄩ4"
+ ],
+ "𩘧": [
+ "ㄧ4"
+ ],
+ "𩘭": [
+ "ㄒㄧㄡ1"
+ ],
+ "𩘮": [
+ "ㄠ2"
+ ],
+ "𩘯": [
+ "ㄊㄨㄢ2"
+ ],
+ "𩘰": [
+ "ㄙㄨ4"
+ ],
+ "𩘱": [
+ "ㄕㄨㄞ4"
+ ],
+ "𩘳": [
+ "ㄩ4"
+ ],
+ "𩘵": [
+ "ㄈㄥ1"
+ ],
+ "𩘹": [
+ "ㄙㄨ4"
+ ],
+ "𩘺": [
+ "ㄊㄨㄟ2"
+ ],
+ "𩘻": [
+ "ㄩ4"
+ ],
+ "𩘼": [
+ "ㄓㄥ1"
+ ],
+ "𩘽": [
+ "ㄓㄥ1"
+ ],
+ "𩘿": [
+ "ㄊㄠ2"
+ ],
+ "𩙄": [
+ "ㄌㄧㄡ2"
+ ],
+ "𩙆": [
+ "ㄔㄥ2"
+ ],
+ "𩙇": [
+ "ㄙㄨㄟ2"
+ ],
+ "𩙈": [
+ "ㄙㄠ1"
+ ],
+ "𩙏": [
+ "ㄍㄨ3"
+ ],
+ "𩙐": [
+ "ㄈㄥ1"
+ ],
+ "𩙑": [
+ "ㄌㄧㄝ4"
+ ],
+ "𩙒": [
+ "ㄆㄧㄠ1",
+ "ㄆㄧㄠ4"
+ ],
+ "𩙖": [
+ "ㄌㄧ4"
+ ],
+ "𩙘": [
+ "ㄌㄨㄥ2"
+ ],
+ "𩙙": [
+ "ㄔㄨ1"
+ ],
+ "𩙚": [
+ "ㄒㄧㄠ1"
+ ],
+ "𩙛": [
+ "ㄏㄨㄥ1"
+ ],
+ "𩙜": [
+ "ㄒㄧㄝ4"
+ ],
+ "𩙝": [
+ "ㄕㄜ4"
+ ],
+ "𩙠": [
+ "ㄌㄨㄥ2"
+ ],
+ "𩙡": [
+ "ㄏㄡ1"
+ ],
+ "𩙢": [
+ "ㄒㄩㄢ2",
+ "ㄕ1"
+ ],
+ "𩙣": [
+ "ㄈㄥ1"
+ ],
+ "𩙥": [
+ "ㄅㄚ2"
+ ],
+ "𩙦": [
+ "ㄅㄛ2"
+ ],
+ "𩙧": [
+ "ㄊㄠ2"
+ ],
+ "𩙨": [
+ "ㄙㄨ4"
+ ],
+ "𩙩": [
+ "ㄓㄠ4"
+ ],
+ "𩙪": [
+ "ㄅㄧㄠ1"
+ ],
+ "𩙫": [
+ "ㄙㄡ1"
+ ],
+ "𩙬": [
+ "ㄊㄨㄟ2"
+ ],
+ "𩙭": [
+ "ㄙㄨㄛ3"
+ ],
+ "𩙮": [
+ "ㄒㄧㄠ1"
+ ],
+ "𩙯": [
+ "ㄏㄥ2"
+ ],
+ "𩙰": [
+ "ㄙㄠ1"
+ ],
+ "𩙲": [
+ "ㄈㄟ1"
+ ],
+ "𩙷": [
+ "ㄋㄧㄡ4"
+ ],
+ "𩙸": [
+ "ㄇㄤ3"
+ ],
+ "𩙽": [
+ "ㄏㄨㄢ2",
+ "ㄒㄩㄢ1"
+ ],
+ "𩙾": [
+ "ㄓ1"
+ ],
+ "𩚂": [
+ "ㄧ4"
+ ],
+ "𩚄": [
+ "ㄩ4"
+ ],
+ "𩚇": [
+ "ㄧ2"
+ ],
+ "𩚈": [
+ "ㄩㄝ1"
+ ],
+ "𩚉": [
+ "ㄔ2"
+ ],
+ "𩚕": [
+ "ㄧㄣ3",
+ "ㄑㄧㄤ1"
+ ],
+ "𩚖": [
+ "ㄋㄧㄡ4"
+ ],
+ "𩚗": [
+ "ㄖㄨㄥ3"
+ ],
+ "𩚛": [
+ "ㄋㄚ4"
+ ],
+ "𩚣": [
+ "ㄊㄧㄢ2"
+ ],
+ "𩚥": [
+ "ㄅㄚ1"
+ ],
+ "𩚪": [
+ "ㄦ3"
+ ],
+ "𩚫": [
+ "ㄓㄥ1"
+ ],
+ "𩚬": [
+ "ㄜ4"
+ ],
+ "𩚭": [
+ "ㄆㄡ2"
+ ],
+ "𩚮": [
+ "ㄐㄧ1",
+ "ㄋㄧ4"
+ ],
+ "𩚯": [
+ "ㄋㄧ2"
+ ],
+ "𩚱": [
+ "ㄐㄩㄥ3"
+ ],
+ "𩚲": [
+ "ㄐㄧㄚ2"
+ ],
+ "𩚵": [
+ "ㄍㄢ1"
+ ],
+ "𩚹": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩚻": [
+ "ㄗㄨㄟ4"
+ ],
+ "𩚾": [
+ "ㄅㄟ4"
+ ],
+ "𩛅": [
+ "ㄕㄨ1"
+ ],
+ "𩛆": [
+ "ㄧ3"
+ ],
+ "𩛇": [
+ "ㄆㄞ1"
+ ],
+ "𩛋": [
+ "ㄋㄠ3"
+ ],
+ "𩛌": [
+ "ㄕ4"
+ ],
+ "𩛎": [
+ "ㄇㄢ3"
+ ],
+ "𩛏": [
+ "ㄕ4"
+ ],
+ "𩛑": [
+ "ㄊㄧ2"
+ ],
+ "𩛘": [
+ "ㄍㄨㄥ1"
+ ],
+ "𩛝": [
+ "ㄌㄟ4"
+ ],
+ "𩛞": [
+ "ㄅㄠ3",
+ "ㄋㄟ3",
+ "ㄆㄧㄠ3"
+ ],
+ "𩛟": [
+ "ㄩㄢ1",
+ "ㄇㄢ2"
+ ],
+ "𩛠": [
+ "ㄗㄨㄛ1"
+ ],
+ "𩛡": [
+ "ㄌㄤ2",
+ "ㄋㄤ2"
+ ],
+ "𩛢": [
+ "ㄒㄧㄡ1"
+ ],
+ "𩛥": [
+ "ㄗㄞ4"
+ ],
+ "𩛦": [
+ "ㄔㄥ4"
+ ],
+ "𩛧": [
+ "ㄐㄧㄢ1"
+ ],
+ "𩛨": [
+ "ㄇㄠ4"
+ ],
+ "𩛩": [
+ "ㄐㄧㄚ2"
+ ],
+ "𩛪": [
+ "ㄩ4"
+ ],
+ "𩛭": [
+ "ㄩ4"
+ ],
+ "𩛮": [
+ "ㄧ2"
+ ],
+ "𩛲": [
+ "ㄇㄤ1"
+ ],
+ "𩛳": [
+ "ㄗㄞ4",
+ "ㄘㄢ1"
+ ],
+ "𩛵": [
+ "ㄓㄨㄟ4"
+ ],
+ "𩛶": [
+ "ㄊㄧ2"
+ ],
+ "𩛹": [
+ "ㄒㄧ4"
+ ],
+ "𩛺": [
+ "ㄐㄩ2"
+ ],
+ "𩛻": [
+ "ㄗㄢ4",
+ "ㄗㄨㄢ3",
+ "ㄓㄢ1"
+ ],
+ "𩛼": [
+ "ㄌㄨ4"
+ ],
+ "𩛽": [
+ "ㄊㄠ2"
+ ],
+ "𩜀": [
+ "ㄓㄨㄟ4",
+ "ㄉㄨㄟ1"
+ ],
+ "𩜁": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩜃": [
+ "ㄐㄩ4"
+ ],
+ "𩜆": [
+ "ㄐㄧ1"
+ ],
+ "𩜇": [
+ "ㄐㄩㄢ3",
+ "ㄐㄩㄢ4"
+ ],
+ "𩜊": [
+ "ㄗ1"
+ ],
+ "𩜌": [
+ "ㄩㄝ1"
+ ],
+ "𩜍": [
+ "ㄉㄨㄥ1"
+ ],
+ "𩜒": [
+ "ㄋㄤ3"
+ ],
+ "𩜖": [
+ "ㄔㄨㄥ2"
+ ],
+ "𩜟": [
+ "ㄤ4"
+ ],
+ "𩜣": [
+ "ㄍㄥ1"
+ ],
+ "𩜥": [
+ "ㄅㄛ1"
+ ],
+ "𩜦": [
+ "ㄉㄧㄥ4"
+ ],
+ "𩜧": [
+ "ㄨㄟ3"
+ ],
+ "𩜬": [
+ "ㄑㄩㄢ2"
+ ],
+ "𩜭": [
+ "ㄎㄜ1"
+ ],
+ "𩜰": [
+ "ㄆㄧ4"
+ ],
+ "𩜱": [
+ "ㄎㄢ3",
+ "ㄙㄢ3"
+ ],
+ "𩜲": [
+ "ㄈㄨ2"
+ ],
+ "𩜳": [
+ "ㄩㄥ3"
+ ],
+ "𩜵": [
+ "ㄊㄨㄢ2"
+ ],
+ "𩜶": [
+ "ㄊㄡ3"
+ ],
+ "𩜷": [
+ "ㄧㄡ4",
+ "ㄋㄧㄡ4"
+ ],
+ "𩜸": [
+ "ㄧㄠ1"
+ ],
+ "𩜺": [
+ "ㄧㄝ1"
+ ],
+ "𩜽": [
+ "ㄧㄢ4"
+ ],
+ "𩝈": [
+ "ㄒㄧㄢ2"
+ ],
+ "𩝊": [
+ "ㄊㄧ2"
+ ],
+ "𩝌": [
+ "ㄙㄨㄟ4"
+ ],
+ "𩝐": [
+ "ㄘ2"
+ ],
+ "𩝔": [
+ "ㄒㄩ3"
+ ],
+ "𩝕": [
+ "ㄨ4"
+ ],
+ "𩝖": [
+ "ㄘㄢ1"
+ ],
+ "𩝗": [
+ "ㄩ4"
+ ],
+ "𩝚": [
+ "ㄔㄢ3"
+ ],
+ "𩝛": [
+ "ㄒㄧㄚ2"
+ ],
+ "𩝝": [
+ "ㄎㄠ4",
+ "ㄍㄠ1"
+ ],
+ "𩝞": [
+ "ㄘㄤ1"
+ ],
+ "𩝟": [
+ "ㄔㄚ1"
+ ],
+ "𩝠": [
+ "ㄑㄧㄡ3"
+ ],
+ "𩝣": [
+ "ㄉㄚ1"
+ ],
+ "𩝥": [
+ "ㄙㄨ4"
+ ],
+ "𩝨": [
+ "ㄏㄨㄚ1"
+ ],
+ "𩝷": [
+ "ㄨ1"
+ ],
+ "𩝸": [
+ "ㄩㄢ1"
+ ],
+ "𩝽": [
+ "ㄐㄧㄤ4"
+ ],
+ "𩝾": [
+ "ㄒㄧㄤ3"
+ ],
+ "𩝿": [
+ "ㄓㄞ1"
+ ],
+ "𩞀": [
+ "ㄙㄢ3",
+ "ㄔㄣ3",
+ "ㄘㄢ4"
+ ],
+ "𩞁": [
+ "ㄇㄛ2",
+ "ㄇㄧ2"
+ ],
+ "𩞃": [
+ "ㄕㄤ3",
+ "ㄒㄧㄤ3"
+ ],
+ "𩞄": [
+ "ㄘㄠ2"
+ ],
+ "𩞅": [
+ "ㄙㄨㄟ1"
+ ],
+ "𩞆": [
+ "ㄔㄨㄤ2"
+ ],
+ "𩞇": [
+ "ㄇㄧ2"
+ ],
+ "𩞈": [
+ "ㄓㄨ2"
+ ],
+ "𩞉": [
+ "ㄔㄨㄥ2"
+ ],
+ "𩞊": [
+ "ㄐㄧ4"
+ ],
+ "𩞋": [
+ "ㄔㄨㄥ2"
+ ],
+ "𩞙": [
+ "ㄌㄧㄢ2"
+ ],
+ "𩞞": [
+ "ㄏㄞ4"
+ ],
+ "𩞤": [
+ "ㄉㄨㄣ1"
+ ],
+ "𩞥": [
+ "ㄒㄧㄤ3"
+ ],
+ "𩞦": [
+ "ㄔㄥ1"
+ ],
+ "𩞧": [
+ "ㄕㄤ3"
+ ],
+ "𩞨": [
+ "ㄌㄧ4"
+ ],
+ "𩞩": [
+ "ㄏㄨㄤ2"
+ ],
+ "𩞬": [
+ "ㄉㄥ4"
+ ],
+ "𩞯": [
+ "ㄌㄧㄤ2"
+ ],
+ "𩞶": [
+ "ㄗㄚ1"
+ ],
+ "𩞺": [
+ "ㄏㄨㄛ4"
+ ],
+ "𩞻": [
+ "ㄌㄧㄣ2"
+ ],
+ "𩞾": [
+ "ㄉㄨ2",
+ "ㄧ4"
+ ],
+ "𩞿": [
+ "ㄏㄢ4"
+ ],
+ "𩟀": [
+ "ㄩㄥ1",
+ "ㄩㄥ3"
+ ],
+ "𩟁": [
+ "ㄩㄢ4",
+ "ㄒㄩㄢ4"
+ ],
+ "𩟂": [
+ "ㄍㄨㄛ4"
+ ],
+ "𩟃": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩟅": [
+ "ㄌㄧㄢ3"
+ ],
+ "𩟇": [
+ "ㄠ4"
+ ],
+ "𩟈": [
+ "ㄉㄤ1"
+ ],
+ "𩟉": [
+ "ㄧ4"
+ ],
+ "𩟊": [
+ "ㄋㄨㄥ2"
+ ],
+ "𩟋": [
+ "ㄕㄢ4"
+ ],
+ "𩟍": [
+ "ㄒㄧㄣ4"
+ ],
+ "𩟐": [
+ "ㄉㄚ2"
+ ],
+ "𩟑": [
+ "ㄩ4"
+ ],
+ "𩟒": [
+ "ㄘㄢ1"
+ ],
+ "𩟓": [
+ "ㄨㄛ4"
+ ],
+ "𩟔": [
+ "ㄔㄚ2"
+ ],
+ "𩟕": [
+ "ㄅㄛ2"
+ ],
+ "𩟗": [
+ "ㄐㄧㄢ3"
+ ],
+ "𩟞": [
+ "ㄇㄥ2"
+ ],
+ "𩟟": [
+ "ㄨㄟ3"
+ ],
+ "𩟠": [
+ "ㄇㄛ2"
+ ],
+ "𩟥": [
+ "ㄕㄨㄟ4",
+ "ㄐㄩㄢ3"
+ ],
+ "𩟦": [
+ "ㄐㄧㄝ2"
+ ],
+ "𩟧": [
+ "ㄕㄨㄛ4"
+ ],
+ "𩟨": [
+ "ㄏㄨㄛ4"
+ ],
+ "𩟫": [
+ "ㄔㄨㄛ4"
+ ],
+ "𩟭": [
+ "ㄌㄨㄥ2"
+ ],
+ "𩟮": [
+ "ㄏㄨㄞ4"
+ ],
+ "𩟰": [
+ "ㄊㄨㄛ1"
+ ],
+ "𩟳": [
+ "ㄩ2"
+ ],
+ "𩟶": [
+ "ㄔㄢ4",
+ "ㄐㄧㄝ2"
+ ],
+ "𩟷": [
+ "ㄩㄥ1"
+ ],
+ "𩟸": [
+ "ㄏㄨㄛ4"
+ ],
+ "𩟺": [
+ "ㄌㄢ3"
+ ],
+ "𩟿": [
+ "ㄋㄚ4"
+ ],
+ "𩠀": [
+ "ㄅㄚ1"
+ ],
+ "𩠁": [
+ "ㄍㄢ1"
+ ],
+ "𩠂": [
+ "ㄧ3"
+ ],
+ "𩠃": [
+ "ㄐㄧㄚ2"
+ ],
+ "𩠅": [
+ "ㄉㄚ2"
+ ],
+ "𩠆": [
+ "ㄉㄧㄥ4"
+ ],
+ "𩠇": [
+ "ㄒㄩㄣ4"
+ ],
+ "𩠈": [
+ "ㄖㄣ3"
+ ],
+ "𩠉": [
+ "ㄐㄩㄢ3"
+ ],
+ "𩠊": [
+ "ㄊㄨㄢ2"
+ ],
+ "𩠋": [
+ "ㄒㄩ3"
+ ],
+ "𩠌": [
+ "ㄙㄨㄥ4"
+ ],
+ "𩠎": [
+ "ㄘㄠ2"
+ ],
+ "𩠏": [
+ "ㄔㄥ1"
+ ],
+ "𩠑": [
+ "ㄉㄧㄥ3"
+ ],
+ "𩠚": [
+ "ㄏㄞ2"
+ ],
+ "𩠟": [
+ "ㄨ3"
+ ],
+ "𩠦": [
+ "ㄑㄧ3",
+ "ㄕㄡ3"
+ ],
+ "𩠨": [
+ "ㄐㄧ1",
+ "ㄑㄧ3"
+ ],
+ "𩠮": [
+ "ㄎㄨㄟ2"
+ ],
+ "𩠯": [
+ "ㄨㄟ2"
+ ],
+ "𩠶": [
+ "ㄕㄡ3"
+ ],
+ "𩠷": [
+ "ㄈㄨ2"
+ ],
+ "𩠹": [
+ "ㄊㄨㄢ2"
+ ],
+ "𩠻": [
+ "ㄅㄧㄝ2",
+ "ㄏㄢ1"
+ ],
+ "𩠽": [
+ "ㄊㄢ2"
+ ],
+ "𩠾": [
+ "ㄏㄤ1"
+ ],
+ "𩠿": [
+ "ㄆㄧㄝ1"
+ ],
+ "𩡃": [
+ "ㄩ2"
+ ],
+ "𩡄": [
+ "ㄊㄢ2",
+ "ㄒㄧㄤ1"
+ ],
+ "𩡌": [
+ "ㄒㄧㄤ1"
+ ],
+ "𩡎": [
+ "ㄒㄧㄡ1"
+ ],
+ "𩡓": [
+ "ㄨㄥ3"
+ ],
+ "𩡔": [
+ "ㄏㄞ4"
+ ],
+ "𩡕": [
+ "ㄆㄥ2"
+ ],
+ "𩡝": [
+ "ㄊㄢ2"
+ ],
+ "𩡟": [
+ "ㄅㄧㄝ2"
+ ],
+ "𩡠": [
+ "ㄒㄧㄤ1"
+ ],
+ "𩡣": [
+ "ㄧ3"
+ ],
+ "𩡦": [
+ "ㄆㄧㄠ2"
+ ],
+ "𩡧": [
+ "ㄏㄨㄢ2"
+ ],
+ "𩡨": [
+ "ㄇㄨ3"
+ ],
+ "𩡩": [
+ "ㄅㄚ1"
+ ],
+ "𩡫": [
+ "ㄈㄢ4"
+ ],
+ "𩡯": [
+ "ㄉㄧㄥ1"
+ ],
+ "𩡷": [
+ "ㄈㄣ1",
+ "ㄈㄟ4"
+ ],
+ "𩡺": [
+ "ㄐㄧㄝ4"
+ ],
+ "𩡾": [
+ "ㄙㄨㄛ2"
+ ],
+ "𩢄": [
+ "ㄨㄢ4"
+ ],
+ "𩢅": [
+ "ㄍㄜ1"
+ ],
+ "𩢈": [
+ "ㄈㄣ1"
+ ],
+ "𩢊": [
+ "ㄊㄨㄛ2"
+ ],
+ "𩢌": [
+ "ㄨㄣ2"
+ ],
+ "𩢍": [
+ "ㄍㄨㄚ1"
+ ],
+ "𩢎": [
+ "ㄉㄨㄛ1"
+ ],
+ "𩢐": [
+ "ㄓㄜ2"
+ ],
+ "𩢑": [
+ "ㄘ3"
+ ],
+ "𩢒": [
+ "ㄧㄠ3"
+ ],
+ "𩢔": [
+ "ㄅㄢ4"
+ ],
+ "𩢕": [
+ "ㄅㄨ4"
+ ],
+ "𩢖": [
+ "ㄇㄛ4"
+ ],
+ "𩢘": [
+ "ㄆㄛ3"
+ ],
+ "𩢛": [
+ "ㄍㄜ2"
+ ],
+ "𩢞": [
+ "ㄌㄧㄡ2"
+ ],
+ "𩢡": [
+ "ㄖㄢ3"
+ ],
+ "𩢨": [
+ "ㄍㄢ1"
+ ],
+ "𩢪": [
+ "ㄏㄨ2"
+ ],
+ "𩢫": [
+ "ㄇㄡ2"
+ ],
+ "𩢮": [
+ "ㄒㄧㄡ1"
+ ],
+ "𩢯": [
+ "ㄏㄨㄤ1"
+ ],
+ "𩢰": [
+ "ㄈㄨ2"
+ ],
+ "𩢱": [
+ "ㄏㄨㄟ2"
+ ],
+ "𩢳": [
+ "ㄑㄩ2"
+ ],
+ "𩢴": [
+ "ㄐㄧㄝ2",
+ "ㄐㄧ2"
+ ],
+ "𩢵": [
+ "ㄊㄨㄛ1"
+ ],
+ "𩢶": [
+ "ㄩ2"
+ ],
+ "𩢷": [
+ "ㄇㄛ4"
+ ],
+ "𩢸": [
+ "ㄓㄡ1"
+ ],
+ "𩢹": [
+ "ㄐㄧㄡ4"
+ ],
+ "𩢻": [
+ "ㄕㄨ2"
+ ],
+ "𩢼": [
+ "ㄎㄨㄤ1"
+ ],
+ "𩢽": [
+ "ㄑㄩㄥ2"
+ ],
+ "𩢾": [
+ "ㄌㄧㄝ4"
+ ],
+ "𩢿": [
+ "ㄈㄨ4"
+ ],
+ "𩣊": [
+ "ㄒㄩ4"
+ ],
+ "𩣖": [
+ "ㄌㄧㄣ4"
+ ],
+ "𩣘": [
+ "ㄋㄧㄝ4"
+ ],
+ "𩣚": [
+ "ㄆㄧ1",
+ "ㄅㄧ3"
+ ],
+ "𩣜": [
+ "ㄈㄨ4"
+ ],
+ "𩣝": [
+ "ㄅㄨ4"
+ ],
+ "𩣞": [
+ "ㄧ4",
+ "ㄙㄚ4"
+ ],
+ "𩣡": [
+ "ㄅㄛ2"
+ ],
+ "𩣣": [
+ "ㄜ2",
+ "ㄜ3"
+ ],
+ "𩣩": [
+ "ㄓㄜ2"
+ ],
+ "𩣫": [
+ "ㄌㄧ4"
+ ],
+ "𩣮": [
+ "ㄊㄨ4"
+ ],
+ "𩣯": [
+ "ㄉㄚ2"
+ ],
+ "𩣱": [
+ "ㄌㄨ4"
+ ],
+ "𩣲": [
+ "ㄧㄢ1"
+ ],
+ "𩣳": [
+ "ㄉㄨㄥ1"
+ ],
+ "𩣴": [
+ "ㄑㄧㄝ4"
+ ],
+ "𩣵": [
+ "ㄨㄢ3",
+ "ㄨㄛ4"
+ ],
+ "𩣶": [
+ "ㄇㄧㄥ3"
+ ],
+ "𩣷": [
+ "ㄗㄨㄟ1",
+ "ㄓㄨ4"
+ ],
+ "𩣸": [
+ "ㄈㄨ4"
+ ],
+ "𩣹": [
+ "ㄑㄩ1"
+ ],
+ "𩣺": [
+ "ㄅㄣ1"
+ ],
+ "𩣻": [
+ "ㄠ3"
+ ],
+ "𩣼": [
+ "ㄑㄧㄤ1"
+ ],
+ "𩤁": [
+ "ㄑㄩㄣ1"
+ ],
+ "𩤈": [
+ "ㄑㄩㄝ4"
+ ],
+ "𩤉": [
+ "ㄏㄨㄚ2",
+ "ㄊㄠ2"
+ ],
+ "𩤊": [
+ "ㄒㄧㄢ4",
+ "ㄐㄧㄢ4"
+ ],
+ "𩤋": [
+ "ㄎㄨㄣ4"
+ ],
+ "𩤏": [
+ "ㄘㄨㄟ4"
+ ],
+ "𩤒": [
+ "ㄧ2"
+ ],
+ "𩤖": [
+ "ㄔ1",
+ "ㄦ2"
+ ],
+ "𩤗": [
+ "ㄗㄨㄥ4"
+ ],
+ "𩤘": [
+ "ㄋㄠ3"
+ ],
+ "𩤙": [
+ "ㄔㄥ2"
+ ],
+ "𩤚": [
+ "ㄉㄨㄢ1"
+ ],
+ "𩤛": [
+ "ㄩㄥ2"
+ ],
+ "𩤜": [
+ "ㄓㄜ3"
+ ],
+ "𩤞": [
+ "ㄊㄢ4"
+ ],
+ "𩤟": [
+ "ㄧㄤ2"
+ ],
+ "𩤠": [
+ "ㄒㄧㄝ2"
+ ],
+ "𩤡": [
+ "ㄒㄩㄢ1"
+ ],
+ "𩤣": [
+ "ㄉㄨㄢ4"
+ ],
+ "𩤤": [
+ "ㄕㄨㄚ3"
+ ],
+ "𩤥": [
+ "ㄒㄧㄢ2"
+ ],
+ "𩤦": [
+ "ㄒㄧㄢ2"
+ ],
+ "𩤩": [
+ "ㄜ2"
+ ],
+ "𩤲": [
+ "ㄌㄚ1"
+ ],
+ "𩤸": [
+ "ㄨㄟ4"
+ ],
+ "𩤹": [
+ "ㄧㄡ1"
+ ],
+ "𩤺": [
+ "ㄩ2"
+ ],
+ "𩤽": [
+ "ㄊㄧ1"
+ ],
+ "𩤿": [
+ "ㄐㄧㄣ1"
+ ],
+ "𩥁": [
+ "ㄊㄤ2"
+ ],
+ "𩥂": [
+ "ㄑㄧ2"
+ ],
+ "𩥄": [
+ "ㄉㄧㄢ1"
+ ],
+ "𩥅": [
+ "ㄊㄠ1"
+ ],
+ "𩥆": [
+ "ㄌㄩ4"
+ ],
+ "𩥇": [
+ "ㄓㄢ4"
+ ],
+ "𩥈": [
+ "ㄨㄣ1"
+ ],
+ "𩥉": [
+ "ㄐㄧ4"
+ ],
+ "𩥊": [
+ "ㄠ1",
+ "ㄐㄧㄠ1"
+ ],
+ "𩥋": [
+ "ㄡ4",
+ "ㄉㄨ2"
+ ],
+ "𩥌": [
+ "ㄑㄧㄚ4"
+ ],
+ "𩥐": [
+ "ㄕ1"
+ ],
+ "𩥑": [
+ "ㄊㄚ3"
+ ],
+ "𩥔": [
+ "ㄇㄛ4"
+ ],
+ "𩥘": [
+ "ㄧㄡ2"
+ ],
+ "𩥠": [
+ "ㄓㄚ2"
+ ],
+ "𩥣": [
+ "ㄧㄠ2"
+ ],
+ "𩥫": [
+ "ㄔㄨㄥ1"
+ ],
+ "𩥬": [
+ "ㄌㄧ2"
+ ],
+ "𩥭": [
+ "ㄩ2"
+ ],
+ "𩥮": [
+ "ㄔㄢ3"
+ ],
+ "𩥯": [
+ "ㄧ1"
+ ],
+ "𩥲": [
+ "ㄔ4"
+ ],
+ "𩥴": [
+ "ㄌㄧ2"
+ ],
+ "𩥽": [
+ "ㄊㄨ2"
+ ],
+ "𩥿": [
+ "ㄗㄨ2"
+ ],
+ "𩦂": [
+ "ㄒㄧㄢ2"
+ ],
+ "𩦇": [
+ "ㄒㄧ4"
+ ],
+ "𩦉": [
+ "ㄅㄧㄝ2"
+ ],
+ "𩦊": [
+ "ㄏㄢ2",
+ "ㄑㄧㄢ1"
+ ],
+ "𩦋": [
+ "ㄑㄧ2"
+ ],
+ "𩦌": [
+ "ㄙㄤ1",
+ "ㄕㄨㄤ1"
+ ],
+ "𩦎": [
+ "ㄈㄟ1",
+ "ㄈㄟ3"
+ ],
+ "𩦐": [
+ "ㄕㄢ4",
+ "ㄏㄨㄛ1"
+ ],
+ "𩦘": [
+ "ㄏㄨㄢ1"
+ ],
+ "𩦠": [
+ "ㄅㄤ4"
+ ],
+ "𩦡": [
+ "ㄩ2"
+ ],
+ "𩦢": [
+ "ㄩ2"
+ ],
+ "𩦤": [
+ "ㄐㄧ2"
+ ],
+ "𩦱": [
+ "ㄎㄨㄞ3"
+ ],
+ "𩦲": [
+ "ㄗㄨㄥ1"
+ ],
+ "𩦹": [
+ "ㄒㄧㄢ4"
+ ],
+ "𩦺": [
+ "ㄇㄥ2"
+ ],
+ "𩧃": [
+ "ㄌㄧ4"
+ ],
+ "𩧄": [
+ "ㄓ4"
+ ],
+ "𩧅": [
+ "ㄈㄢ2"
+ ],
+ "𩧆": [
+ "ㄌㄧㄝ4",
+ "ㄌㄚ4"
+ ],
+ "𩧇": [
+ "ㄘㄞ4"
+ ],
+ "𩧈": [
+ "ㄉㄨ2"
+ ],
+ "𩧉": [
+ "ㄍㄨㄤ1"
+ ],
+ "𩧊": [
+ "ㄒㄩㄥ4"
+ ],
+ "𩧋": [
+ "ㄌㄧ2"
+ ],
+ "𩧌": [
+ "ㄑㄧ4"
+ ],
+ "𩧏": [
+ "ㄐㄩㄝ2"
+ ],
+ "𩧐": [
+ "ㄊㄨㄛ1"
+ ],
+ "𩧒": [
+ "ㄐㄩ4"
+ ],
+ "𩧓": [
+ "ㄒㄧㄠ1"
+ ],
+ "𩧘": [
+ "ㄑㄩ2"
+ ],
+ "𩧜": [
+ "ㄓㄨㄢ3"
+ ],
+ "𩧡": [
+ "ㄐㄩㄝ2"
+ ],
+ "𩧦": [
+ "ㄐㄧㄝ4"
+ ],
+ "𩧨": [
+ "ㄓㄡ4"
+ ],
+ "𩧩": [
+ "ㄒㄧㄢ4"
+ ],
+ "𩧪": [
+ "ㄌㄨㄥ2"
+ ],
+ "𩧫": [
+ "ㄧㄤ3"
+ ],
+ "𩧬": [
+ "ㄖㄢ3"
+ ],
+ "𩧭": [
+ "ㄧ4"
+ ],
+ "𩧮": [
+ "ㄌㄧㄝ4"
+ ],
+ "𩧯": [
+ "ㄅㄛ1"
+ ],
+ "𩧰": [
+ "ㄏㄨㄣ2"
+ ],
+ "𩧱": [
+ "ㄐㄧ4"
+ ],
+ "𩧲": [
+ "ㄉㄨㄥ4"
+ ],
+ "𩧳": [
+ "ㄓㄡ1"
+ ],
+ "𩧴": [
+ "ㄑㄩㄢ1"
+ ],
+ "𩧵": [
+ "ㄐㄧㄝ2"
+ ],
+ "𩧺": [
+ "ㄐㄩ2"
+ ],
+ "𩧼": [
+ "ㄅㄣ1"
+ ],
+ "𩧿": [
+ "ㄅㄧ1"
+ ],
+ "𩨀": [
+ "ㄍㄜ2"
+ ],
+ "𩨁": [
+ "ㄔㄨㄣ3"
+ ],
+ "𩨃": [
+ "ㄑㄧㄢ2"
+ ],
+ "𩨄": [
+ "ㄙㄡ1"
+ ],
+ "𩨅": [
+ "ㄨㄟ4"
+ ],
+ "𩨆": [
+ "ㄔㄥ2"
+ ],
+ "𩨇": [
+ "ㄌㄡ2"
+ ],
+ "𩨈": [
+ "ㄩ2"
+ ],
+ "𩨉": [
+ "ㄌㄚ1"
+ ],
+ "𩨊": [
+ "ㄑㄧㄢ2"
+ ],
+ "𩨋": [
+ "ㄉㄧㄢ1"
+ ],
+ "𩨌": [
+ "ㄊㄚ3"
+ ],
+ "𩨍": [
+ "ㄓㄢ4"
+ ],
+ "𩨏": [
+ "ㄈㄢ2"
+ ],
+ "𩨐": [
+ "ㄌㄧㄝ4"
+ ],
+ "𩨑": [
+ "ㄊㄧㄥ1"
+ ],
+ "𩨒": [
+ "ㄐㄧ1"
+ ],
+ "𩨓": [
+ "ㄑㄧㄢ1"
+ ],
+ "𩨔": [
+ "ㄏㄨ2",
+ "ㄏㄨㄚ2"
+ ],
+ "𩨗": [
+ "ㄩ2"
+ ],
+ "𩨘": [
+ "ㄑㄧ4",
+ "ㄍㄜ1"
+ ],
+ "𩨙": [
+ "ㄩ2"
+ ],
+ "𩨚": [
+ "ㄨㄚ1"
+ ],
+ "𩨜": [
+ "ㄅㄚ4"
+ ],
+ "𩨝": [
+ "ㄑㄧ2"
+ ],
+ "𩨞": [
+ "ㄙㄚ3"
+ ],
+ "𩨟": [
+ "ㄑㄧㄠ1"
+ ],
+ "𩨠": [
+ "ㄧㄚ4"
+ ],
+ "𩨡": [
+ "ㄒㄧㄢ3",
+ "ㄙㄢ3"
+ ],
+ "𩨨": [
+ "ㄘ1"
+ ],
+ "𩨩": [
+ "ㄈㄢ4"
+ ],
+ "𩨫": [
+ "ㄎㄨㄣ3"
+ ],
+ "𩨬": [
+ "ㄍㄨㄣ3"
+ ],
+ "𩨭": [
+ "ㄑㄩㄝ1"
+ ],
+ "𩨮": [
+ "ㄜ4"
+ ],
+ "𩨯": [
+ "ㄑㄩㄥ2"
+ ],
+ "𩨲": [
+ "ㄇㄚ4"
+ ],
+ "𩨳": [
+ "ㄎㄨ1",
+ "ㄉㄨ1"
+ ],
+ "𩨴": [
+ "ㄧㄠ3"
+ ],
+ "𩨷": [
+ "ㄑㄩㄝ1"
+ ],
+ "𩨸": [
+ "ㄔㄨ1"
+ ],
+ "𩨹": [
+ "ㄐㄧㄚ3"
+ ],
+ "𩨻": [
+ "ㄓㄨ3"
+ ],
+ "𩨽": [
+ "ㄉㄨㄟ1"
+ ],
+ "𩨾": [
+ "ㄨㄚ2"
+ ],
+ "𩩀": [
+ "ㄋㄠ3"
+ ],
+ "𩩄": [
+ "ㄧㄢ2"
+ ],
+ "𩩅": [
+ "ㄊㄨㄥ2"
+ ],
+ "𩩋": [
+ "ㄒㄧㄥ2",
+ "ㄐㄧㄥ4"
+ ],
+ "𩩌": [
+ "ㄍㄨㄣ3"
+ ],
+ "𩩍": [
+ "ㄆㄧㄥ1"
+ ],
+ "𩩑": [
+ "ㄩ3"
+ ],
+ "𩩒": [
+ "ㄏㄜ4"
+ ],
+ "𩩔": [
+ "ㄓㄨㄛ2"
+ ],
+ "𩩗": [
+ "ㄕㄜ1"
+ ],
+ "𩩘": [
+ "ㄩ3"
+ ],
+ "𩩛": [
+ "ㄐㄧ4"
+ ],
+ "𩩝": [
+ "ㄑㄧㄤ1"
+ ],
+ "𩩞": [
+ "ㄕㄨㄟ4"
+ ],
+ "𩩟": [
+ "ㄔㄨㄛ4"
+ ],
+ "𩩠": [
+ "ㄗㄨ2"
+ ],
+ "𩩡": [
+ "ㄌㄥ2"
+ ],
+ "𩩢": [
+ "ㄋㄧ2"
+ ],
+ "𩩤": [
+ "ㄨㄚ1"
+ ],
+ "𩩥": [
+ "ㄓㄚ2"
+ ],
+ "𩩧": [
+ "ㄉㄢ4"
+ ],
+ "𩩮": [
+ "ㄉㄨ4"
+ ],
+ "𩩯": [
+ "ㄅㄧㄢ4"
+ ],
+ "𩩰": [
+ "ㄐㄧㄝ1",
+ "ㄏㄞ2"
+ ],
+ "𩩱": [
+ "ㄑㄧㄚ4"
+ ],
+ "𩩲": [
+ "ㄏㄜ2"
+ ],
+ "𩩳": [
+ "ㄔㄨㄥ4"
+ ],
+ "𩩴": [
+ "ㄧㄢ2"
+ ],
+ "𩩶": [
+ "ㄧㄢ4"
+ ],
+ "𩩺": [
+ "ㄙㄨㄥ2"
+ ],
+ "𩩻": [
+ "ㄊㄥ2"
+ ],
+ "𩩼": [
+ "ㄧㄠ3"
+ ],
+ "𩩾": [
+ "ㄎㄠ1"
+ ],
+ "𩪀": [
+ "ㄓㄨㄟ1"
+ ],
+ "𩪁": [
+ "ㄍㄨㄟ4"
+ ],
+ "𩪂": [
+ "ㄞ2"
+ ],
+ "𩪃": [
+ "ㄏㄞ4"
+ ],
+ "𩪈": [
+ "ㄙㄨㄛ3"
+ ],
+ "𩪉": [
+ "ㄒㄩ4"
+ ],
+ "𩪊": [
+ "ㄅㄧㄠ1"
+ ],
+ "𩪌": [
+ "ㄈㄥ4"
+ ],
+ "𩪍": [
+ "ㄑㄩ1",
+ "ㄕㄨ1"
+ ],
+ "𩪎": [
+ "ㄇㄤ3"
+ ],
+ "𩪐": [
+ "ㄍㄨㄛ2"
+ ],
+ "𩪖": [
+ "ㄅㄧ4"
+ ],
+ "𩪗": [
+ "ㄐㄩㄝ2"
+ ],
+ "𩪘": [
+ "ㄔㄨㄤ2"
+ ],
+ "𩪛": [
+ "ㄆㄨ2"
+ ],
+ "𩪟": [
+ "ㄧ4"
+ ],
+ "𩪢": [
+ "ㄑㄧㄢ1"
+ ],
+ "𩪣": [
+ "ㄧ4"
+ ],
+ "𩪤": [
+ "ㄜ4"
+ ],
+ "𩪥": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩪧": [
+ "ㄅㄧ4"
+ ],
+ "𩪭": [
+ "ㄏㄨㄛ4"
+ ],
+ "𩪮": [
+ "ㄇㄛ3",
+ "ㄇㄛ2"
+ ],
+ "𩪱": [
+ "ㄒㄩㄣ1"
+ ],
+ "𩪴": [
+ "ㄧㄢ4"
+ ],
+ "𩪸": [
+ "ㄌㄧ4"
+ ],
+ "𩪺": [
+ "ㄊㄢ2"
+ ],
+ "𩪾": [
+ "ㄌㄨㄢ2"
+ ],
+ "𩫀": [
+ "ㄎㄞ4"
+ ],
+ "𩫁": [
+ "ㄇㄠ4"
+ ],
+ "𩫂": [
+ "ㄒㄧㄠ1"
+ ],
+ "𩫇": [
+ "ㄞ3"
+ ],
+ "𩫊": [
+ "ㄊㄚ3"
+ ],
+ "𩫍": [
+ "ㄇㄟ4"
+ ],
+ "𩫏": [
+ "ㄍㄨㄛ1",
+ "ㄩㄥ1"
+ ],
+ "𩫓": [
+ "ㄍㄠ3"
+ ],
+ "𩫔": [
+ "ㄋㄠ2"
+ ],
+ "𩫕": [
+ "ㄏㄠ2"
+ ],
+ "𩫠": [
+ "ㄑㄩㄝ1"
+ ],
+ "𩫥": [
+ "ㄘㄠ2"
+ ],
+ "𩫦": [
+ "ㄙㄠ4"
+ ],
+ "𩫫": [
+ "ㄆㄧ2"
+ ],
+ "𩫲": [
+ "ㄒㄧㄝ1"
+ ],
+ "𩫳": [
+ "ㄒㄧㄠ1"
+ ],
+ "𩫴": [
+ "ㄐㄩ2"
+ ],
+ "𩫹": [
+ "ㄔㄥ2"
+ ],
+ "𩫺": [
+ "ㄋㄠ3"
+ ],
+ "𩬀": [
+ "ㄋㄟ4"
+ ],
+ "𩬍": [
+ "ㄇㄨ3"
+ ],
+ "𩬏": [
+ "ㄕㄠ1"
+ ],
+ "𩬑": [
+ "ㄉㄧㄢ1",
+ "ㄔㄢ1"
+ ],
+ "𩬔": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩬖": [
+ "ㄓㄣ3"
+ ],
+ "𩬗": [
+ "ㄧㄠ3"
+ ],
+ "𩬙": [
+ "ㄈㄨ4",
+ "ㄈㄨ1"
+ ],
+ "𩬚": [
+ "ㄑㄧㄢ2",
+ "ㄍㄢ4"
+ ],
+ "𩬛": [
+ "ㄑㄩㄥ2"
+ ],
+ "𩬜": [
+ "ㄐㄩ2"
+ ],
+ "𩬝": [
+ "ㄅㄧㄥ4",
+ "ㄈㄤ3"
+ ],
+ "𩬞": [
+ "ㄇㄠ2",
+ "ㄇㄢ2",
+ "ㄇㄧㄢ2"
+ ],
+ "𩬟": [
+ "ㄓㄚ4"
+ ],
+ "𩬠": [
+ "ㄊㄞ1"
+ ],
+ "𩬤": [
+ "ㄔㄨㄥ1"
+ ],
+ "𩬫": [
+ "ㄓㄞ3"
+ ],
+ "𩬭": [
+ "ㄕ1"
+ ],
+ "𩬮": [
+ "ㄩㄥ4"
+ ],
+ "𩬰": [
+ "ㄑㄩㄥ2"
+ ],
+ "𩬱": [
+ "ㄉㄠ4"
+ ],
+ "𩬲": [
+ "ㄊㄧ4"
+ ],
+ "𩬳": [
+ "ㄓㄨㄟ3"
+ ],
+ "𩬵": [
+ "ㄧㄣ4"
+ ],
+ "𩬷": [
+ "ㄋㄠ3"
+ ],
+ "𩬸": [
+ "ㄅㄛ1"
+ ],
+ "𩬹": [
+ "ㄎㄨㄤ1"
+ ],
+ "𩬺": [
+ "ㄓ3"
+ ],
+ "𩬻": [
+ "ㄉㄨㄛ3"
+ ],
+ "𩬼": [
+ "ㄘㄨㄥ1"
+ ],
+ "𩬽": [
+ "ㄅㄠ3"
+ ],
+ "𩭇": [
+ "ㄌㄧ2"
+ ],
+ "𩭊": [
+ "ㄐㄩ2"
+ ],
+ "𩭋": [
+ "ㄨㄣ2",
+ "ㄎㄨㄣ1"
+ ],
+ "𩭌": [
+ "ㄌㄧㄝ4"
+ ],
+ "𩭏": [
+ "ㄨㄛ3"
+ ],
+ "𩭐": [
+ "ㄕ3"
+ ],
+ "𩭑": [
+ "ㄋㄧㄠ3"
+ ],
+ "𩭒": [
+ "ㄇㄤ2"
+ ],
+ "𩭓": [
+ "ㄐㄧㄡ1"
+ ],
+ "𩭘": [
+ "ㄒㄧㄡ1"
+ ],
+ "𩭝": [
+ "ㄨㄛ3"
+ ],
+ "𩭟": [
+ "ㄉㄠ4"
+ ],
+ "𩭡": [
+ "ㄒㄧ1"
+ ],
+ "𩭢": [
+ "ㄢ4"
+ ],
+ "𩭣": [
+ "ㄉㄚ2"
+ ],
+ "𩭤": [
+ "ㄗㄨㄥ3",
+ "ㄗㄨㄥ1"
+ ],
+ "𩭥": [
+ "ㄏㄢ4"
+ ],
+ "𩭦": [
+ "ㄔㄨㄟ2"
+ ],
+ "𩭧": [
+ "ㄅㄧ1",
+ "ㄅㄢ1"
+ ],
+ "𩭩": [
+ "ㄉㄨㄥ4"
+ ],
+ "𩭫": [
+ "ㄓㄤ3"
+ ],
+ "𩭯": [
+ "ㄧㄚ1"
+ ],
+ "𩭲": [
+ "ㄉㄧ2"
+ ],
+ "𩭳": [
+ "ㄏㄨㄛ1"
+ ],
+ "𩭷": [
+ "ㄇㄧㄣ2"
+ ],
+ "𩭺": [
+ "ㄈㄨ4"
+ ],
+ "𩭼": [
+ "ㄅㄠ3"
+ ],
+ "𩭽": [
+ "ㄎㄜ4"
+ ],
+ "𩭾": [
+ "ㄇㄠ2"
+ ],
+ "𩭿": [
+ "ㄖㄜ4"
+ ],
+ "𩮀": [
+ "ㄗㄨㄥ1",
+ "ㄗㄨㄥ3",
+ "ㄙㄨㄥ1"
+ ],
+ "𩮁": [
+ "ㄑㄧㄚ4"
+ ],
+ "𩮂": [
+ "ㄒㄧㄚ1"
+ ],
+ "𩮃": [
+ "ㄙㄡ1"
+ ],
+ "𩮄": [
+ "ㄒㄧㄡ1"
+ ],
+ "𩮅": [
+ "ㄋㄚ4"
+ ],
+ "𩮉": [
+ "ㄇㄢ2",
+ "ㄇㄧㄢ2"
+ ],
+ "𩮎": [
+ "ㄓㄚ1"
+ ],
+ "𩮏": [
+ "ㄔㄢ2"
+ ],
+ "𩮐": [
+ "ㄕㄜ4"
+ ],
+ "𩮑": [
+ "ㄨㄛ3"
+ ],
+ "𩮖": [
+ "ㄞ2"
+ ],
+ "𩮗": [
+ "ㄅㄤ4",
+ "ㄆㄥ2",
+ "ㄈㄤ3"
+ ],
+ "𩮘": [
+ "ㄏㄠ1"
+ ],
+ "𩮚": [
+ "ㄙㄠ1"
+ ],
+ "𩮛": [
+ "ㄙㄨㄛ3"
+ ],
+ "𩮜": [
+ "ㄊㄧ4"
+ ],
+ "𩮝": [
+ "ㄧㄚ4"
+ ],
+ "𩮟": [
+ "ㄅㄧㄥ4"
+ ],
+ "𩮠": [
+ "ㄖㄨㄥ2"
+ ],
+ "𩮫": [
+ "ㄕㄚ1"
+ ],
+ "𩮬": [
+ "ㄨㄥ3"
+ ],
+ "𩮯": [
+ "ㄠ2"
+ ],
+ "𩮱": [
+ "ㄓㄨㄤ1"
+ ],
+ "𩮳": [
+ "ㄆㄧㄠ4",
+ "ㄆㄧㄠ3",
+ "ㄆㄧㄝ1"
+ ],
+ "𩮴": [
+ "ㄙㄨㄟ1",
+ "ㄘㄨㄟ3"
+ ],
+ "𩮵": [
+ "ㄧ1"
+ ],
+ "𩮶": [
+ "ㄙㄡ1"
+ ],
+ "𩮷": [
+ "ㄉㄡ1"
+ ],
+ "𩮸": [
+ "ㄙㄡ1",
+ "ㄋㄚ4"
+ ],
+ "𩮹": [
+ "ㄌㄨㄛ2"
+ ],
+ "𩯃": [
+ "ㄈㄟ4",
+ "ㄅㄧ4"
+ ],
+ "𩯄": [
+ "ㄗㄨㄣ4"
+ ],
+ "𩯆": [
+ "ㄋㄠ4"
+ ],
+ "𩯇": [
+ "ㄉㄥ1"
+ ],
+ "𩯈": [
+ "ㄓ2"
+ ],
+ "𩯉": [
+ "ㄘㄨㄛ1"
+ ],
+ "𩯊": [
+ "ㄌㄧㄠ2"
+ ],
+ "𩯋": [
+ "ㄐㄧ3"
+ ],
+ "𩯌": [
+ "ㄅㄛ1"
+ ],
+ "𩯍": [
+ "ㄘㄨㄥ2"
+ ],
+ "𩯎": [
+ "ㄔㄥ2"
+ ],
+ "𩯏": [
+ "ㄅㄨ3"
+ ],
+ "𩯑": [
+ "ㄙㄢ1"
+ ],
+ "𩯒": [
+ "ㄗㄢ4"
+ ],
+ "𩯘": [
+ "ㄐㄧㄠ4"
+ ],
+ "𩯛": [
+ "ㄧㄠ4"
+ ],
+ "𩯜": [
+ "ㄌㄨ3"
+ ],
+ "𩯞": [
+ "ㄘㄢ4"
+ ],
+ "𩯨": [
+ "ㄋㄧ3"
+ ],
+ "𩯰": [
+ "ㄐㄧㄝ2",
+ "ㄐㄧ4"
+ ],
+ "𩯱": [
+ "ㄆㄨ2"
+ ],
+ "𩯲": [
+ "ㄓㄨㄤ4"
+ ],
+ "𩯳": [
+ "ㄗㄢ4",
+ "ㄗㄨㄢ3",
+ "ㄗㄚ1"
+ ],
+ "𩯺": [
+ "ㄌㄧ4"
+ ],
+ "𩯽": [
+ "ㄌㄚ4"
+ ],
+ "𩰀": [
+ "ㄔㄨㄥ1"
+ ],
+ "𩰃": [
+ "ㄓㄢ4"
+ ],
+ "𩰍": [
+ "ㄅㄧㄢ4"
+ ],
+ "𩰎": [
+ "ㄨㄥ1"
+ ],
+ "𩰓": [
+ "ㄏㄨㄥ4"
+ ],
+ "𩰗": [
+ "ㄆㄧㄣ1"
+ ],
+ "𩰙": [
+ "ㄙㄜ4"
+ ],
+ "𩰞": [
+ "ㄋㄧ3"
+ ],
+ "𩰟": [
+ "ㄈㄣ1"
+ ],
+ "𩰠": [
+ "ㄒㄩ3"
+ ],
+ "𩰢": [
+ "ㄕ3"
+ ],
+ "𩰤": [
+ "ㄐㄩ4"
+ ],
+ "𩰨": [
+ "ㄐㄩㄝ2"
+ ],
+ "𩰪": [
+ "ㄩ4"
+ ],
+ "𩰬": [
+ "ㄍㄨㄛ1",
+ "ㄨㄞ1"
+ ],
+ "𩰭": [
+ "ㄍㄨㄛ1"
+ ],
+ "𩰯": [
+ "ㄏㄨ2"
+ ],
+ "𩰲": [
+ "ㄌㄧ4",
+ "ㄈㄟ4"
+ ],
+ "𩰳": [
+ "ㄒㄧㄝ2"
+ ],
+ "𩰴": [
+ "ㄦ2"
+ ],
+ "𩰵": [
+ "ㄩㄢ2"
+ ],
+ "𩰶": [
+ "ㄏㄞ2",
+ "ㄅㄣ4"
+ ],
+ "𩰹": [
+ "ㄐㄧㄥ4"
+ ],
+ "𩰻": [
+ "ㄎㄜ4"
+ ],
+ "𩰽": [
+ "ㄗㄨㄥ1"
+ ],
+ "𩰾": [
+ "ㄈㄟ4"
+ ],
+ "𩱀": [
+ "ㄆㄥ1"
+ ],
+ "𩱁": [
+ "ㄍㄥ1"
+ ],
+ "𩱃": [
+ "ㄐㄧㄢ1"
+ ],
+ "𩱄": [
+ "ㄋㄧ2"
+ ],
+ "𩱆": [
+ "ㄒㄧㄢ2"
+ ],
+ "𩱇": [
+ "ㄌㄧ4"
+ ],
+ "𩱈": [
+ "ㄔㄠ3"
+ ],
+ "𩱊": [
+ "ㄦ2",
+ "ㄒㄧㄢ4"
+ ],
+ "𩱋": [
+ "ㄍㄥ1",
+ "ㄆㄥ1"
+ ],
+ "𩱌": [
+ "ㄩ4"
+ ],
+ "𩱍": [
+ "ㄏㄨ2"
+ ],
+ "𩱎": [
+ "ㄈㄟ4"
+ ],
+ "𩱏": [
+ "ㄠ2"
+ ],
+ "𩱓": [
+ "ㄦ3"
+ ],
+ "𩱘": [
+ "ㄎㄜ4"
+ ],
+ "𩱙": [
+ "ㄎㄨ4"
+ ],
+ "𩱚": [
+ "ㄅㄛ2"
+ ],
+ "𩱝": [
+ "ㄧㄝ4"
+ ],
+ "𩱞": [
+ "ㄐㄧㄠ4"
+ ],
+ "𩱦": [
+ "ㄔㄠ3"
+ ],
+ "𩱧": [
+ "ㄍㄥ1"
+ ],
+ "𩱨": [
+ "ㄖㄨ4"
+ ],
+ "𩱪": [
+ "ㄩㄝ4"
+ ],
+ "𩱬": [
+ "ㄌㄧㄣ2"
+ ],
+ "𩱱": [
+ "ㄩ4"
+ ],
+ "𩱲": [
+ "ㄩㄝ4"
+ ],
+ "𩱳": [
+ "ㄓㄞ1"
+ ],
+ "𩱴": [
+ "ㄒㄧㄠ1"
+ ],
+ "𩱷": [
+ "ㄇㄧㄝ4"
+ ],
+ "𩱻": [
+ "ㄍㄨㄟ3"
+ ],
+ "𩱼": [
+ "ㄐㄧㄡ1"
+ ],
+ "𩱾": [
+ "ㄊㄨㄛ4"
+ ],
+ "𩲁": [
+ "ㄒㄧ2"
+ ],
+ "𩲂": [
+ "ㄨㄟ3"
+ ],
+ "𩲃": [
+ "ㄓㄨㄛ2"
+ ],
+ "𩲄": [
+ "ㄨㄟ4"
+ ],
+ "𩲅": [
+ "ㄎㄨㄟ2"
+ ],
+ "𩲈": [
+ "ㄇㄟ4",
+ "ㄨㄟ2"
+ ],
+ "𩲊": [
+ "ㄏㄠ4"
+ ],
+ "𩲋": [
+ "ㄏㄤ1"
+ ],
+ "𩲌": [
+ "ㄈㄤ1"
+ ],
+ "𩲍": [
+ "ㄋㄧㄡ2"
+ ],
+ "𩲎": [
+ "ㄧㄡ4"
+ ],
+ "𩲏": [
+ "ㄏㄨㄚ4"
+ ],
+ "𩲒": [
+ "ㄌㄤ4"
+ ],
+ "𩲠": [
+ "ㄓㄨ2"
+ ],
+ "𩲡": [
+ "ㄍㄨㄟ3"
+ ],
+ "𩲢": [
+ "ㄅㄧ4",
+ "ㄇㄟ4"
+ ],
+ "𩲣": [
+ "ㄐㄧㄚ3"
+ ],
+ "𩲤": [
+ "ㄊㄧㄠ2"
+ ],
+ "𩲦": [
+ "ㄌㄩ4"
+ ],
+ "𩲧": [
+ "ㄎㄨㄥ3"
+ ],
+ "𩲨": [
+ "ㄗㄨㄟ3"
+ ],
+ "𩲩": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩲪": [
+ "ㄑㄧ2"
+ ],
+ "𩲬": [
+ "ㄓㄨ2"
+ ],
+ "𩲱": [
+ "ㄍㄨ3"
+ ],
+ "𩲲": [
+ "ㄗㄨ4"
+ ],
+ "𩲴": [
+ "ㄧㄤ1"
+ ],
+ "𩲵": [
+ "ㄙㄨ1"
+ ],
+ "𩲷": [
+ "ㄎㄨㄟ2"
+ ],
+ "𩲹": [
+ "ㄔㄤ1"
+ ],
+ "𩲻": [
+ "ㄧㄠ2"
+ ],
+ "𩲾": [
+ "ㄩ4"
+ ],
+ "𩳅": [
+ "ㄕㄨ1"
+ ],
+ "𩳆": [
+ "ㄌㄞ4"
+ ],
+ "𩳇": [
+ "ㄧ4"
+ ],
+ "𩳈": [
+ "ㄉㄡ1"
+ ],
+ "𩳌": [
+ "ㄨ2"
+ ],
+ "𩳍": [
+ "ㄧㄥ3"
+ ],
+ "𩳎": [
+ "ㄈㄨ2"
+ ],
+ "𩳏": [
+ "ㄓㄨㄢ4"
+ ],
+ "𩳐": [
+ "ㄈㄨ3"
+ ],
+ "𩳒": [
+ "ㄙㄨ4"
+ ],
+ "𩳓": [
+ "ㄌㄧ3"
+ ],
+ "𩳔": [
+ "ㄧㄠ4"
+ ],
+ "𩳕": [
+ "ㄊㄨㄟ4",
+ "ㄊㄧ4"
+ ],
+ "𩳝": [
+ "ㄍㄨㄟ4"
+ ],
+ "𩳡": [
+ "ㄌㄩ4"
+ ],
+ "𩳢": [
+ "ㄧㄢ4"
+ ],
+ "𩳣": [
+ "ㄑㄧ2"
+ ],
+ "𩳤": [
+ "ㄌㄤ4",
+ "ㄔㄤ1"
+ ],
+ "𩳥": [
+ "ㄓㄨ2"
+ ],
+ "𩳧": [
+ "ㄍㄨㄟ3"
+ ],
+ "𩳨": [
+ "ㄏㄨ1"
+ ],
+ "𩳯": [
+ "ㄐㄧㄥ1"
+ ],
+ "𩳲": [
+ "ㄔ3"
+ ],
+ "𩳵": [
+ "ㄐㄩ2"
+ ],
+ "𩳶": [
+ "ㄓㄚ2"
+ ],
+ "𩳸": [
+ "ㄇㄧㄠ2"
+ ],
+ "𩴀": [
+ "ㄓㄨ1"
+ ],
+ "𩴁": [
+ "ㄍㄢ1"
+ ],
+ "𩴂": [
+ "ㄒㄩㄥ1"
+ ],
+ "𩴃": [
+ "ㄐㄧ2"
+ ],
+ "𩴇": [
+ "ㄕㄞ4"
+ ],
+ "𩴈": [
+ "ㄇㄟ4"
+ ],
+ "𩴉": [
+ "ㄩㄣ4"
+ ],
+ "𩴍": [
+ "ㄕㄡ4"
+ ],
+ "𩴐": [
+ "ㄌㄩ4"
+ ],
+ "𩴑": [
+ "ㄧㄡ4"
+ ],
+ "𩴒": [
+ "ㄐㄧㄤ4"
+ ],
+ "𩴓": [
+ "ㄋㄨㄛ2"
+ ],
+ "𩴘": [
+ "ㄐㄩ4"
+ ],
+ "𩴙": [
+ "ㄧㄡ4"
+ ],
+ "𩴜": [
+ "ㄧ4"
+ ],
+ "𩴝": [
+ "ㄊㄥ2"
+ ],
+ "𩴞": [
+ "ㄨㄟ2"
+ ],
+ "𩴟": [
+ "ㄔㄜ3"
+ ],
+ "𩴠": [
+ "ㄌㄧㄣ4"
+ ],
+ "𩴡": [
+ "ㄍㄨ4"
+ ],
+ "𩴣": [
+ "ㄌㄧ4"
+ ],
+ "𩴤": [
+ "ㄌㄧㄠ4"
+ ],
+ "𩴧": [
+ "ㄐㄧㄠ1"
+ ],
+ "𩴨": [
+ "ㄧㄤ2"
+ ],
+ "𩴩": [
+ "ㄅㄧㄠ1"
+ ],
+ "𩴪": [
+ "ㄑㄧ2"
+ ],
+ "𩴮": [
+ "ㄧ4"
+ ],
+ "𩴱": [
+ "ㄅㄧㄣ1"
+ ],
+ "𩴲": [
+ "ㄇㄥ2"
+ ],
+ "𩴳": [
+ "ㄔㄚ4"
+ ],
+ "𩴵": [
+ "ㄍㄢ1"
+ ],
+ "𩴹": [
+ "ㄑㄩ2"
+ ],
+ "𩴺": [
+ "ㄉㄧ2"
+ ],
+ "𩴻": [
+ "ㄌㄟ2"
+ ],
+ "𩵀": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩵄": [
+ "ㄏㄨㄢ1"
+ ],
+ "𩵅": [
+ "ㄑㄩ2"
+ ],
+ "𩵇": [
+ "ㄌㄨㄛ2"
+ ],
+ "𩵉": [
+ "ㄎㄨㄟ2"
+ ],
+ "𩵍": [
+ "ㄑㄧㄡ2"
+ ],
+ "𩵎": [
+ "ㄩ3",
+ "ㄩ2"
+ ],
+ "𩵏": [
+ "ㄏㄨㄚ4"
+ ],
+ "𩵓": [
+ "ㄌㄟ4"
+ ],
+ "𩵕": [
+ "ㄖㄣ4",
+ "ㄉㄠ1"
+ ],
+ "𩵖": [
+ "ㄒㄧㄠ3"
+ ],
+ "𩵗": [
+ "ㄙ4"
+ ],
+ "𩵚": [
+ "ㄉㄨ4"
+ ],
+ "𩵛": [
+ "ㄅㄧㄝ1"
+ ],
+ "𩵠": [
+ "ㄋㄧㄡ2",
+ "ㄨㄟ3"
+ ],
+ "𩵢": [
+ "ㄏㄜ4",
+ "ㄗㄚ1"
+ ],
+ "𩵣": [
+ "ㄆㄟ1"
+ ],
+ "𩵥": [
+ "ㄈㄟ4"
+ ],
+ "𩵦": [
+ "ㄇㄨ4"
+ ],
+ "𩵩": [
+ "ㄈㄨ1"
+ ],
+ "𩵬": [
+ "ㄏㄨ2"
+ ],
+ "𩵭": [
+ "ㄨㄤ2"
+ ],
+ "𩵮": [
+ "ㄕㄚ1",
+ "ㄒㄧㄠ3"
+ ],
+ "𩵰": [
+ "ㄐㄧㄠ1",
+ "ㄑㄧㄡ1"
+ ],
+ "𩵱": [
+ "ㄨ3"
+ ],
+ "𩵹": [
+ "ㄈㄨ4"
+ ],
+ "𩶁": [
+ "ㄅㄧㄥ3"
+ ],
+ "𩶂": [
+ "ㄓㄨ4"
+ ],
+ "𩶄": [
+ "ㄓㄨ2"
+ ],
+ "𩶅": [
+ "ㄔ1"
+ ],
+ "𩶇": [
+ "ㄕㄣ3"
+ ],
+ "𩶈": [
+ "ㄏㄨ1"
+ ],
+ "𩶉": [
+ "ㄅㄨ1"
+ ],
+ "𩶎": [
+ "ㄖㄢ3"
+ ],
+ "𩶖": [
+ "ㄇㄨ4"
+ ],
+ "𩶘": [
+ "ㄌㄧ4"
+ ],
+ "𩶛": [
+ "ㄐㄧㄚ1"
+ ],
+ "𩶞": [
+ "ㄇㄚ4",
+ "ㄏㄤ2"
+ ],
+ "𩶡": [
+ "ㄇㄥ2"
+ ],
+ "𩶢": [
+ "ㄇㄡ2"
+ ],
+ "𩶣": [
+ "ㄓㄡ1"
+ ],
+ "𩶤": [
+ "ㄒㄧㄢ3"
+ ],
+ "𩶥": [
+ "ㄏㄨㄟ3",
+ "ㄏㄨㄥ2"
+ ],
+ "𩶦": [
+ "ㄍㄨㄞ4"
+ ],
+ "𩶧": [
+ "ㄐㄧㄡ4"
+ ],
+ "𩶩": [
+ "ㄇㄨ4"
+ ],
+ "𩶫": [
+ "ㄖㄨ4",
+ "ㄒㄩㄝ4"
+ ],
+ "𩶭": [
+ "ㄨ2"
+ ],
+ "𩶯": [
+ "ㄖㄨ2"
+ ],
+ "𩶱": [
+ "ㄓㄚ4"
+ ],
+ "𩷁": [
+ "ㄋㄨㄛ3"
+ ],
+ "𩷂": [
+ "ㄒㄧㄝ2"
+ ],
+ "𩷄": [
+ "ㄐㄧㄤ4"
+ ],
+ "𩷋": [
+ "ㄌㄧ3"
+ ],
+ "𩷌": [
+ "ㄕㄨ1"
+ ],
+ "𩷍": [
+ "ㄧ4"
+ ],
+ "𩷎": [
+ "ㄉㄧ2"
+ ],
+ "𩷏": [
+ "ㄑㄧㄥ2"
+ ],
+ "𩷐": [
+ "ㄐㄩ2"
+ ],
+ "𩷓": [
+ "ㄓ4"
+ ],
+ "𩷕": [
+ "ㄌㄤ2"
+ ],
+ "𩷖": [
+ "ㄅㄨ4"
+ ],
+ "𩷗": [
+ "ㄎㄨㄤ2"
+ ],
+ "𩷘": [
+ "ㄧ4"
+ ],
+ "𩷚": [
+ "ㄅㄛ2"
+ ],
+ "𩷧": [
+ "ㄔ4"
+ ],
+ "𩷭": [
+ "ㄐㄧㄤ4"
+ ],
+ "𩷯": [
+ "ㄨㄛ4"
+ ],
+ "𩷰": [
+ "ㄒㄩㄣ4"
+ ],
+ "𩷵": [
+ "ㄊㄨㄣ1"
+ ],
+ "𩷶": [
+ "ㄇㄤ2"
+ ],
+ "𩷸": [
+ "ㄈㄤ2"
+ ],
+ "𩷹": [
+ "ㄓㄨㄛ2"
+ ],
+ "𩷻": [
+ "ㄑㄧㄚ4"
+ ],
+ "𩷽": [
+ "ㄊㄚ3"
+ ],
+ "𩷾": [
+ "ㄑㄧ2"
+ ],
+ "𩸀": [
+ "ㄆㄥ4"
+ ],
+ "𩸁": [
+ "ㄅㄧㄝ1"
+ ],
+ "𩸂": [
+ "ㄈㄣ4",
+ "ㄆㄣ4"
+ ],
+ "𩸃": [
+ "ㄊㄨ4"
+ ],
+ "𩸄": [
+ "ㄏㄨㄚ4"
+ ],
+ "𩸇": [
+ "ㄜ4"
+ ],
+ "𩸋": [
+ "ㄜ4",
+ "ㄧㄚ1"
+ ],
+ "𩸎": [
+ "ㄉㄧㄥ4"
+ ],
+ "𩸐": [
+ "ㄖㄨ2"
+ ],
+ "𩸖": [
+ "ㄜ4"
+ ],
+ "𩸞": [
+ "ㄧㄢ4",
+ "ㄑㄧ2"
+ ],
+ "𩸟": [
+ "ㄙ4"
+ ],
+ "𩸥": [
+ "ㄧㄥ2"
+ ],
+ "𩸦": [
+ "ㄋㄧ2"
+ ],
+ "𩸧": [
+ "ㄋㄧ2"
+ ],
+ "𩸨": [
+ "ㄧ2"
+ ],
+ "𩸹": [
+ "ㄇㄧ2"
+ ],
+ "𩸾": [
+ "ㄧㄝ2"
+ ],
+ "𩸿": [
+ "ㄆㄛ1"
+ ],
+ "𩹀": [
+ "ㄘㄡ4"
+ ],
+ "𩹂": [
+ "ㄨㄟ4"
+ ],
+ "𩹄": [
+ "ㄏㄞ4"
+ ],
+ "𩹅": [
+ "ㄧㄥ1"
+ ],
+ "𩹇": [
+ "ㄊㄧㄥ2"
+ ],
+ "𩹈": [
+ "ㄓ4"
+ ],
+ "𩹉": [
+ "ㄈㄟ1"
+ ],
+ "𩹊": [
+ "ㄧㄡ2"
+ ],
+ "𩹍": [
+ "ㄎㄨㄟ2"
+ ],
+ "𩹎": [
+ "ㄢ4"
+ ],
+ "𩹏": [
+ "ㄅㄚ4"
+ ],
+ "𩹑": [
+ "ㄏㄢ4"
+ ],
+ "𩹞": [
+ "ㄋㄢ2"
+ ],
+ "𩹟": [
+ "ㄋㄞ4"
+ ],
+ "𩹢": [
+ "ㄐㄧㄥ1"
+ ],
+ "𩹥": [
+ "ㄨㄟ1"
+ ],
+ "𩹱": [
+ "ㄔㄨ4"
+ ],
+ "𩹳": [
+ "ㄙㄨㄛ3"
+ ],
+ "𩹴": [
+ "ㄊㄠ1"
+ ],
+ "𩹵": [
+ "ㄑㄧ2"
+ ],
+ "𩹶": [
+ "ㄊㄤ2"
+ ],
+ "𩹷": [
+ "ㄨㄟ3"
+ ],
+ "𩹸": [
+ "ㄍㄢ3"
+ ],
+ "𩹺": [
+ "ㄍㄜ2"
+ ],
+ "𩹼": [
+ "ㄏㄢ4"
+ ],
+ "𩹾": [
+ "ㄋㄚ4"
+ ],
+ "𩹿": [
+ "ㄍㄜ2"
+ ],
+ "𩺄": [
+ "ㄓㄥ1"
+ ],
+ "𩺗": [
+ "ㄊㄚ3",
+ "ㄉㄚ2"
+ ],
+ "𩺛": [
+ "ㄙ1"
+ ],
+ "𩺝": [
+ "ㄋㄧ4"
+ ],
+ "𩺞": [
+ "ㄙㄤ3"
+ ],
+ "𩺫": [
+ "ㄒㄧㄝ2"
+ ],
+ "𩺯": [
+ "ㄗㄨ2"
+ ],
+ "𩺰": [
+ "ㄩ2",
+ "ㄨ2"
+ ],
+ "𩺱": [
+ "ㄋㄧ4"
+ ],
+ "𩺲": [
+ "ㄑㄧ1"
+ ],
+ "𩺵": [
+ "ㄕㄣ1"
+ ],
+ "𩺼": [
+ "ㄅㄨ1"
+ ],
+ "𩻋": [
+ "ㄎㄨㄣ1"
+ ],
+ "𩻌": [
+ "ㄌㄧ2"
+ ],
+ "𩻎": [
+ "ㄍㄨㄚ1"
+ ],
+ "𩻖": [
+ "ㄧㄢ3"
+ ],
+ "𩻗": [
+ "ㄅㄨ4"
+ ],
+ "𩻘": [
+ "ㄐㄧㄢ4"
+ ],
+ "𩻚": [
+ "ㄨ2"
+ ],
+ "𩻛": [
+ "ㄘㄣ2",
+ "ㄐㄧㄣ1"
+ ],
+ "𩻜": [
+ "ㄌㄧㄣ2"
+ ],
+ "𩻝": [
+ "ㄓㄨㄢ4"
+ ],
+ "𩻟": [
+ "ㄏㄨㄟ1"
+ ],
+ "𩻡": [
+ "ㄊㄨㄥ2"
+ ],
+ "𩻢": [
+ "ㄓㄚ3"
+ ],
+ "𩻤": [
+ "ㄏㄟ1"
+ ],
+ "𩻧": [
+ "ㄍㄨㄛ3"
+ ],
+ "𩻱": [
+ "ㄐㄧㄥ3"
+ ],
+ "𩻵": [
+ "ㄉㄧㄝ2"
+ ],
+ "𩻷": [
+ "ㄧㄥ2"
+ ],
+ "𩻼": [
+ "ㄓ4"
+ ],
+ "𩼂": [
+ "ㄨㄟ3"
+ ],
+ "𩼄": [
+ "ㄐㄧ4"
+ ],
+ "𩼅": [
+ "ㄖㄨㄥ3"
+ ],
+ "𩼈": [
+ "ㄠ4",
+ "ㄧㄡ3"
+ ],
+ "𩼉": [
+ "ㄉㄤ1",
+ "ㄏㄢ1"
+ ],
+ "𩼊": [
+ "ㄌㄨㄛ2"
+ ],
+ "𩼋": [
+ "ㄧㄝ4"
+ ],
+ "𩼌": [
+ "ㄨㄟ1"
+ ],
+ "𩼒": [
+ "ㄑㄧㄤ2"
+ ],
+ "𩼙": [
+ "ㄍㄜ2"
+ ],
+ "𩼚": [
+ "ㄐㄧ4"
+ ],
+ "𩼦": [
+ "ㄗㄡ4"
+ ],
+ "𩼨": [
+ "ㄧ2"
+ ],
+ "𩼫": [
+ "ㄓㄚ3"
+ ],
+ "𩼭": [
+ "ㄌㄧㄝ4"
+ ],
+ "𩼴": [
+ "ㄧㄝ4"
+ ],
+ "𩼼": [
+ "ㄓㄢ1"
+ ],
+ "𩽀": [
+ "ㄔㄡ2"
+ ],
+ "𩽁": [
+ "ㄅㄧㄠ1"
+ ],
+ "𩽆": [
+ "ㄒㄩ4"
+ ],
+ "𩽇": [
+ "ㄧㄡ1"
+ ],
+ "𩽍": [
+ "ㄒㄧㄝ4"
+ ],
+ "𩽎": [
+ "ㄨㄟ2"
+ ],
+ "𩽏": [
+ "ㄌㄧ4"
+ ],
+ "𩽛": [
+ "ㄅㄛ2"
+ ],
+ "𩽜": [
+ "ㄐㄧㄢ3"
+ ],
+ "𩽝": [
+ "ㄔㄢ2"
+ ],
+ "𩽞": [
+ "ㄎㄨㄣ1"
+ ],
+ "𩽡": [
+ "ㄑㄧㄥ2"
+ ],
+ "𩽧": [
+ "ㄕㄨㄤ1"
+ ],
+ "𩽨": [
+ "ㄒㄧ1"
+ ],
+ "𩽩": [
+ "ㄑㄩ2"
+ ],
+ "𩽰": [
+ "ㄌㄨㄛ2"
+ ],
+ "𩽳": [
+ "ㄉㄤ3"
+ ],
+ "𩽴": [
+ "ㄋㄧㄢ2"
+ ],
+ "𩽵": [
+ "ㄌㄧ3"
+ ],
+ "𩽷": [
+ "ㄅㄚ4"
+ ],
+ "𩽹": [
+ "ㄜ4"
+ ],
+ "𩽺": [
+ "ㄈㄨ1"
+ ],
+ "𩽻": [
+ "ㄈㄨ4"
+ ],
+ "𩽼": [
+ "ㄏㄨㄣ3"
+ ],
+ "𩽽": [
+ "ㄓㄚ4"
+ ],
+ "𩽾": [
+ "ㄢ1"
+ ],
+ "𩾁": [
+ "ㄑㄧㄡ2"
+ ],
+ "𩾂": [
+ "ㄔㄡ2"
+ ],
+ "𩾃": [
+ "ㄇㄧㄢ3"
+ ],
+ "𩾄": [
+ "ㄒㄩㄣ4"
+ ],
+ "𩾅": [
+ "ㄊㄨ4"
+ ],
+ "𩾆": [
+ "ㄋㄧ2"
+ ],
+ "𩾇": [
+ "ㄏㄨ5"
+ ],
+ "𩾈": [
+ "ㄕㄨ1"
+ ],
+ "𩾊": [
+ "ㄒㄩ1"
+ ],
+ "𩾋": [
+ "ㄓㄨㄥ4"
+ ],
+ "𩾌": [
+ "ㄎㄤ1"
+ ],
+ "𩾒": [
+ "ㄒㄧㄠ1"
+ ],
+ "𩾓": [
+ "ㄒㄧㄠ1"
+ ],
+ "𩾔": [
+ "ㄘ4"
+ ],
+ "𩾕": [
+ "ㄔ4"
+ ],
+ "𩾗": [
+ "ㄉㄧㄠ1",
+ "ㄐㄧㄠ1"
+ ],
+ "𩾘": [
+ "ㄧ4"
+ ],
+ "𩾚": [
+ "ㄉㄧㄥ1"
+ ],
+ "𩾝": [
+ "ㄏㄢ4",
+ "ㄧㄢ4"
+ ],
+ "𩾞": [
+ "ㄨㄢ2"
+ ],
+ "𩾠": [
+ "ㄧ3"
+ ],
+ "𩾡": [
+ "ㄅㄠ4"
+ ],
+ "𩾢": [
+ "ㄧ4",
+ "ㄩㄢ1"
+ ],
+ "𩾧": [
+ "ㄒㄩㄣ4"
+ ],
+ "𩾬": [
+ "ㄒㄧㄤ2"
+ ],
+ "𩾳": [
+ "ㄅㄧ2"
+ ],
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+ "ㄐㄧㄝ2"
+ ],
+ "𩾷": [
+ "ㄍㄜ1"
+ ],
+ "𩾸": [
+ "ㄗㄜ4",
+ "ㄧㄢ4"
+ ],
+ "𩾺": [
+ "ㄓㄣ4"
+ ],
+ "𩾻": [
+ "ㄏㄨ2"
+ ],
+ "𩾼": [
+ "ㄒㄧ1"
+ ],
+ "𩾽": [
+ "ㄒㄧㄣ1"
+ ],
+ "𩾾": [
+ "ㄒㄧㄠ1",
+ "ㄐㄧㄠ1"
+ ],
+ "𩾿": [
+ "ㄈㄨ4"
+ ],
+ "𩿀": [
+ "ㄓㄨㄥ4"
+ ],
+ "𩿂": [
+ "ㄇㄠ4"
+ ],
+ "𩿃": [
+ "ㄒㄧㄣ1"
+ ],
+ "𩿄": [
+ "ㄑㄧㄤ1"
+ ],
+ "𩿈": [
+ "ㄈㄣ2",
+ "ㄈㄣ1"
+ ],
+ "𩿉": [
+ "ㄅㄢ1"
+ ],
+ "𩿊": [
+ "ㄏㄨㄢ1"
+ ],
+ "𩿑": [
+ "ㄐㄧㄠ1"
+ ],
+ "𩿓": [
+ "ㄅㄠ4"
+ ],
+ "𩿔": [
+ "ㄧㄚ1"
+ ],
+ "𩿕": [
+ "ㄧㄠ2"
+ ],
+ "𩿛": [
+ "ㄒㄧ4"
+ ],
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+ "ㄐㄩ4"
+ ],
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+ "ㄑㄩ4"
+ ],
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+ "ㄩㄝ4"
+ ],
+ "𩿡": [
+ "ㄊㄞ2"
+ ],
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+ "ㄊㄡ3"
+ ],
+ "𩿣": [
+ "ㄇㄛ4"
+ ],
+ "𩿤": [
+ "ㄓㄚ2"
+ ],
+ "𩿥": [
+ "ㄑㄩ2"
+ ],
+ "𩿧": [
+ "ㄈㄨ1"
+ ],
+ "𩿩": [
+ "ㄑㄩ2",
+ "ㄉㄨㄛ2"
+ ],
+ "𩿪": [
+ "ㄔ4"
+ ],
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+ "ㄧㄡ2"
+ ],
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+ "ㄊㄧ2"
+ ],
+ "𩿺": [
+ "ㄨㄚ1"
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+ "𩿽": [
+ "ㄊㄨㄛ2"
+ ],
+ "𩿿": [
+ "ㄔㄨ2"
+ ],
+ "𪀁": [
+ "ㄍㄜ1"
+ ],
+ "𪀈": [
+ "ㄩㄢ1"
+ ],
+ "𪀉": [
+ "ㄍㄜ1",
+ "ㄎㄜ3"
+ ],
+ "𪀊": [
+ "ㄑㄩ2"
+ ],
+ "𪀏": [
+ "ㄐㄩ4",
+ "ㄐㄧㄡ1"
+ ],
+ "𪀒": [
+ "ㄉㄧㄝ2"
+ ],
+ "𪀓": [
+ "ㄧ2"
+ ],
+ "𪀔": [
+ "ㄕ1"
+ ],
+ "𪀕": [
+ "ㄧ4"
+ ],
+ "𪀗": [
+ "ㄍㄨㄟ3"
+ ],
+ "𪀘": [
+ "ㄐㄧㄤ4"
+ ],
+ "𪀚": [
+ "ㄙㄨㄥ1"
+ ],
+ "𪀛": [
+ "ㄑㄩㄥ2"
+ ],
+ "𪀝": [
+ "ㄜ4",
+ "ㄩㄢ1"
+ ],
+ "𪀞": [
+ "ㄏㄨㄤ1"
+ ],
+ "𪀟": [
+ "ㄏㄨㄟ2"
+ ],
+ "𪀠": [
+ "ㄒㄩㄣ2"
+ ],
+ "𪀣": [
+ "ㄐㄩ2"
+ ],
+ "𪀥": [
+ "ㄓㄞ2"
+ ],
+ "𪀦": [
+ "ㄔ4"
+ ],
+ "𪀧": [
+ "ㄌㄠ3"
+ ],
+ "𪀩": [
+ "ㄑㄧ2",
+ "ㄉㄢ4",
+ "ㄔㄨ2"
+ ],
+ "𪀪": [
+ "ㄒㄧㄡ1"
+ ],
+ "𪀬": [
+ "ㄏㄨㄟ1"
+ ],
+ "𪀭": [
+ "ㄊㄨㄥ2"
+ ],
+ "𪀺": [
+ "ㄈㄨ4"
+ ],
+ "𪀽": [
+ "ㄒㄩㄣ2",
+ "ㄒㄧㄣ1"
+ ],
+ "𪀾": [
+ "ㄐㄧㄝ2"
+ ],
+ "𪀿": [
+ "ㄇㄧ3"
+ ],
+ "𪁀": [
+ "ㄩ4"
+ ],
+ "𪁈": [
+ "ㄓㄨㄤ1",
+ "ㄓㄨㄤ4"
+ ],
+ "𪁉": [
+ "ㄐㄧㄠ1"
+ ],
+ "𪁊": [
+ "ㄓ4",
+ "ㄓㄜ2"
+ ],
+ "𪁋": [
+ "ㄔㄥ2"
+ ],
+ "𪁍": [
+ "ㄐㄧㄝ2"
+ ],
+ "𪁎": [
+ "ㄒㄧㄠ1"
+ ],
+ "𪁏": [
+ "ㄔㄣ2"
+ ],
+ "𪁐": [
+ "ㄌㄧ2"
+ ],
+ "𪁑": [
+ "ㄩㄝ4"
+ ],
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+ "ㄓ4"
+ ],
+ "𪁔": [
+ "ㄌㄠ2"
+ ],
+ "𪁕": [
+ "ㄨㄛ4"
+ ],
+ "𪁖": [
+ "ㄑㄩ2"
+ ],
+ "𪁘": [
+ "ㄨㄤ1"
+ ],
+ "𪁚": [
+ "ㄧ1"
+ ],
+ "𪁛": [
+ "ㄧ4"
+ ],
+ "𪁜": [
+ "ㄌㄤ2"
+ ],
+ "𪁞": [
+ "ㄊㄡ2"
+ ],
+ "𪁟": [
+ "ㄢ1",
+ "ㄏㄢ4"
+ ],
+ "𪁠": [
+ "ㄐㄩㄝ2"
+ ],
+ "𪁡": [
+ "ㄧㄢ4"
+ ],
+ "𪁥": [
+ "ㄐㄩ4"
+ ],
+ "𪁧": [
+ "ㄓㄣ4",
+ "ㄔㄣ2"
+ ],
+ "𪁩": [
+ "ㄓ4",
+ "ㄊㄧ2"
+ ],
+ "𪁪": [
+ "ㄇㄤ3"
+ ],
+ "𪁮": [
+ "ㄒㄧㄡ4"
+ ],
+ "𪁱": [
+ "ㄔㄨㄤ2"
+ ],
+ "𪁲": [
+ "ㄔㄨ1"
+ ],
+ "𪁸": [
+ "ㄑㄧㄤ1"
+ ],
+ "𪁹": [
+ "ㄈㄟ1"
+ ],
+ "𪁺": [
+ "ㄔㄤ2",
+ "ㄔㄤ3"
+ ],
+ "𪁼": [
+ "ㄇㄧㄢ2"
+ ],
+ "𪁽": [
+ "ㄙㄨ4"
+ ],
+ "𪁾": [
+ "ㄠ3",
+ "ㄨㄛ4"
+ ],
+ "𪂀": [
+ "ㄈㄨ3"
+ ],
+ "𪂄": [
+ "ㄨㄟ4"
+ ],
+ "𪂅": [
+ "ㄓ1"
+ ],
+ "𪂆": [
+ "ㄇㄧㄣ2"
+ ],
+ "𪂇": [
+ "ㄔㄤ1"
+ ],
+ "𪂈": [
+ "ㄧㄢ2"
+ ],
+ "𪂉": [
+ "ㄩ4"
+ ],
+ "𪂋": [
+ "ㄈㄨ4"
+ ],
+ "𪂌": [
+ "ㄊㄚ4"
+ ],
+ "𪂍": [
+ "ㄐㄧ3"
+ ],
+ "𪂏": [
+ "ㄈㄟ4"
+ ],
+ "𪂒": [
+ "ㄏㄨ2"
+ ],
+ "𪂓": [
+ "ㄐㄩ1"
+ ],
+ "𪂕": [
+ "ㄩ3"
+ ],
+ "𪂛": [
+ "ㄑㄧ2"
+ ],
+ "𪂜": [
+ "ㄇㄟ2"
+ ],
+ "𪂟": [
+ "ㄅㄧㄝ1"
+ ],
+ "𪂠": [
+ "ㄍㄨㄛ3"
+ ],
+ "𪂤": [
+ "ㄇㄧㄥ4"
+ ],
+ "𪂦": [
+ "ㄨㄢ3",
+ "ㄩㄢ1"
+ ],
+ "𪂧": [
+ "ㄨㄢ3"
+ ],
+ "𪂴": [
+ "ㄐㄧㄥ1"
+ ],
+ "𪂵": [
+ "ㄩ4"
+ ],
+ "𪂶": [
+ "ㄒㄧㄢ2"
+ ],
+ "𪂹": [
+ "ㄔㄨㄣ1"
+ ],
+ "𪂺": [
+ "ㄐㄧ2"
+ ],
+ "𪂼": [
+ "ㄒㄧㄤ1"
+ ],
+ "𪂽": [
+ "ㄆㄣ2"
+ ],
+ "𪂾": [
+ "ㄈㄨ4"
+ ],
+ "𪃂": [
+ "ㄌㄧㄡ2"
+ ],
+ "𪃄": [
+ "ㄙㄞ1"
+ ],
+ "𪃅": [
+ "ㄒㄩㄝ1"
+ ],
+ "𪃆": [
+ "ㄗㄡ4"
+ ],
+ "𪃈": [
+ "ㄐㄧㄝ2"
+ ],
+ "𪃋": [
+ "ㄓㄢ1",
+ "ㄐㄧㄢ1"
+ ],
+ "𪃍": [
+ "ㄩ2"
+ ],
+ "𪃎": [
+ "ㄩ2"
+ ],
+ "𪃏": [
+ "ㄇㄟ2"
+ ],
+ "𪃐": [
+ "ㄇㄧㄠ3"
+ ],
+ "𪃑": [
+ "ㄇㄠ4"
+ ],
+ "𪃒": [
+ "ㄉㄨㄛ2"
+ ],
+ "𪃓": [
+ "ㄈㄨ4"
+ ],
+ "𪃛": [
+ "ㄐㄧㄢ4"
+ ],
+ "𪃦": [
+ "ㄇㄧㄠ2"
+ ],
+ "𪃨": [
+ "ㄠ1"
+ ],
+ "𪃭": [
+ "ㄎㄜ4"
+ ],
+ "𪃶": [
+ "ㄏㄡ2"
+ ],
+ "𪃺": [
+ "ㄍㄡ4"
+ ],
+ "𪃼": [
+ "ㄒㄧ1"
+ ],
+ "𪃾": [
+ "ㄖㄨㄥ2"
+ ],
+ "𪃿": [
+ "ㄍㄜ1"
+ ],
+ "𪄀": [
+ "ㄆㄢ2"
+ ],
+ "𪄁": [
+ "ㄩㄢ2"
+ ],
+ "𪄂": [
+ "ㄒㄧㄚ4"
+ ],
+ "𪄅": [
+ "ㄕㄚ1"
+ ],
+ "𪄆": [
+ "ㄆㄧ1",
+ "ㄆㄧ2"
+ ],
+ "𪄈": [
+ "ㄑㄧㄥ2"
+ ],
+ "𪄉": [
+ "ㄩㄥ1"
+ ],
+ "𪄊": [
+ "ㄑㄩ2"
+ ],
+ "𪄌": [
+ "ㄍㄨㄥ4"
+ ],
+ "𪄎": [
+ "ㄍㄜ2"
+ ],
+ "𪄏": [
+ "ㄒㄧㄢ1"
+ ],
+ "𪄑": [
+ "ㄙㄨ4"
+ ],
+ "𪄕": [
+ "ㄅㄢ1"
+ ],
+ "𪄖": [
+ "ㄑㄧ2"
+ ],
+ "𪄗": [
+ "ㄏㄡ4"
+ ],
+ "𪄛": [
+ "ㄒㄧ1"
+ ],
+ "𪄝": [
+ "ㄨ1"
+ ],
+ "𪄭": [
+ "ㄑㄧ1"
+ ],
+ "𪄮": [
+ "ㄏㄨ4",
+ "ㄍㄨ4"
+ ],
+ "𪄯": [
+ "ㄍㄨㄟ1"
+ ],
+ "𪄱": [
+ "ㄉㄧ2"
+ ],
+ "𪄲": [
+ "ㄕㄤ1"
+ ],
+ "𪄳": [
+ "ㄇㄞ4"
+ ],
+ "𪄴": [
+ "ㄇㄧㄣ3"
+ ],
+ "𪄵": [
+ "ㄐㄧ4"
+ ],
+ "𪄶": [
+ "ㄒㄧ2"
+ ],
+ "𪄷": [
+ "ㄒㄧㄢ1"
+ ],
+ "𪄸": [
+ "ㄐㄧ2"
+ ],
+ "𪄹": [
+ "ㄔㄤ2"
+ ],
+ "𪄺": [
+ "ㄎㄡ4"
+ ],
+ "𪄻": [
+ "ㄔㄨㄥ1",
+ "ㄓㄨㄤ1"
+ ],
+ "𪅂": [
+ "ㄓㄤ1"
+ ],
+ "𪅃": [
+ "ㄆㄧㄠ3",
+ "ㄆㄧㄠ1"
+ ],
+ "𪅄": [
+ "ㄙㄨ4"
+ ],
+ "𪅅": [
+ "ㄌㄩㄝ4"
+ ],
+ "𪅆": [
+ "ㄌㄧ2"
+ ],
+ "𪅇": [
+ "ㄇㄥ4"
+ ],
+ "𪅈": [
+ "ㄔㄨㄥ1"
+ ],
+ "𪅉": [
+ "ㄊㄧㄢ1"
+ ],
+ "𪅋": [
+ "ㄌㄧㄥ2"
+ ],
+ "𪅍": [
+ "ㄔ4"
+ ],
+ "𪅖": [
+ "ㄔㄨㄥ1",
+ "ㄓㄨㄤ1"
+ ],
+ "𪅙": [
+ "ㄔ4"
+ ],
+ "𪅝": [
+ "ㄋㄧㄠ3"
+ ],
+ "𪅟": [
+ "ㄩㄥ2"
+ ],
+ "𪅮": [
+ "ㄇㄧ4"
+ ],
+ "𪅰": [
+ "ㄕㄨ1"
+ ],
+ "𪅲": [
+ "ㄒㄧ4"
+ ],
+ "𪅴": [
+ "ㄜ4"
+ ],
+ "𪅵": [
+ "ㄗ1"
+ ],
+ "𪅸": [
+ "ㄐㄧㄝ2"
+ ],
+ "𪅹": [
+ "ㄐㄧ1"
+ ],
+ "𪅺": [
+ "ㄏㄡ1"
+ ],
+ "𪅻": [
+ "ㄕㄥ4"
+ ],
+ "𪅼": [
+ "ㄌㄧ4"
+ ],
+ "𪅾": [
+ "ㄑㄧ1"
+ ],
+ "𪆀": [
+ "ㄓㄡ1"
+ ],
+ "𪆁": [
+ "ㄙ1"
+ ],
+ "𪆂": [
+ "ㄑㄩ2"
+ ],
+ "𪆋": [
+ "ㄒㄧㄝ2"
+ ],
+ "𪆗": [
+ "ㄙ1"
+ ],
+ "𪆛": [
+ "ㄒㄩ1"
+ ],
+ "𪆠": [
+ "ㄈㄨ4"
+ ],
+ "𪆯": [
+ "ㄋㄨㄥ2"
+ ],
+ "𪆰": [
+ "ㄧㄚ4"
+ ],
+ "𪆱": [
+ "ㄌㄧㄡ2"
+ ],
+ "𪆲": [
+ "ㄐㄧㄚ3",
+ "ㄓㄢ1"
+ ],
+ "𪆳": [
+ "ㄍㄨㄟ1"
+ ],
+ "𪆴": [
+ "ㄎㄨㄟ2"
+ ],
+ "𪆵": [
+ "ㄔ4"
+ ],
+ "𪆶": [
+ "ㄘㄢ4"
+ ],
+ "𪆷": [
+ "ㄔㄨ2"
+ ],
+ "𪆹": [
+ "ㄍㄨㄛ1"
+ ],
+ "𪆻": [
+ "ㄉㄢ3"
+ ],
+ "𪆿": [
+ "ㄐㄧㄢ4"
+ ],
+ "𪇁": [
+ "ㄉㄤ1"
+ ],
+ "𪇂": [
+ "ㄏㄡ4"
+ ],
+ "𪇄": [
+ "ㄎㄡ4",
+ "ㄎㄨ1"
+ ],
+ "𪇆": [
+ "ㄔㄨ4",
+ "ㄉㄨ2"
+ ],
+ "𪇇": [
+ "ㄑㄧㄢ1"
+ ],
+ "𪇈": [
+ "ㄞ4"
+ ],
+ "𪇊": [
+ "ㄆㄧ4"
+ ],
+ "𪇑": [
+ "ㄒㄩㄣ4"
+ ],
+ "𪇒": [
+ "ㄐㄧㄥ1"
+ ],
+ "𪇓": [
+ "ㄇㄥ4"
+ ],
+ "𪇕": [
+ "ㄅㄧㄣ1"
+ ],
+ "𪇖": [
+ "ㄌㄢ2"
+ ],
+ "𪇗": [
+ "ㄍㄨ3"
+ ],
+ "𪇘": [
+ "ㄔㄡ2",
+ "ㄊㄠ2"
+ ],
+ "𪇛": [
+ "ㄩㄥ1"
+ ],
+ "𪇜": [
+ "ㄍㄨㄚ2"
+ ],
+ "𪇝": [
+ "ㄩ2"
+ ],
+ "𪇞": [
+ "ㄓㄡ4"
+ ],
+ "𪇭": [
+ "ㄘㄞ4"
+ ],
+ "𪇯": [
+ "ㄌㄧㄡ2"
+ ],
+ "𪇰": [
+ "ㄅㄨ3"
+ ],
+ "𪇱": [
+ "ㄌㄨㄛ4"
+ ],
+ "𪇲": [
+ "ㄐㄧㄝ2"
+ ],
+ "𪇳": [
+ "ㄓㄣ1"
+ ],
+ "𪇴": [
+ "ㄇㄧㄝ4"
+ ],
+ "𪇵": [
+ "ㄍㄨㄤ3"
+ ],
+ "𪇷": [
+ "ㄐㄧㄚ2"
+ ],
+ "𪇹": [
+ "ㄌㄚ4"
+ ],
+ "𪈀": [
+ "ㄕㄡ4"
+ ],
+ "𪈃": [
+ "ㄍㄨㄛ1"
+ ],
+ "𪈆": [
+ "ㄇㄥ4"
+ ],
+ "𪈇": [
+ "ㄑㄧㄢ2"
+ ],
+ "𪈈": [
+ "ㄌㄞ4"
+ ],
+ "𪈊": [
+ "ㄏㄜ2"
+ ],
+ "𪈋": [
+ "ㄊㄨㄢ2"
+ ],
+ "𪈑": [
+ "ㄏㄨㄟ1"
+ ],
+ "𪈘": [
+ "ㄏㄨㄥ1"
+ ],
+ "𪈜": [
+ "ㄌㄩ3"
+ ],
+ "𪈟": [
+ "ㄐㄧㄚ2"
+ ],
+ "𪈥": [
+ "ㄍㄨㄟ1"
+ ],
+ "𪈨": [
+ "ㄧ1"
+ ],
+ "𪈩": [
+ "ㄏㄨㄢ1"
+ ],
+ "𪈰": [
+ "ㄌㄨㄛ2"
+ ],
+ "𪈴": [
+ "ㄐㄩㄝ2"
+ ],
+ "𪈸": [
+ "ㄍㄨㄢ4"
+ ],
+ "𪈻": [
+ "ㄑㄩㄢ2"
+ ],
+ "𪈼": [
+ "ㄋㄧㄠ3"
+ ],
+ "𪈿": [
+ "ㄇㄢ2"
+ ],
+ "𪉂": [
+ "ㄩㄣ4"
+ ],
+ "𪉃": [
+ "ㄨㄣ2"
+ ],
+ "𪉄": [
+ "ㄔ4"
+ ],
+ "𪉅": [
+ "ㄔ4"
+ ],
+ "𪉆": [
+ "ㄓ1"
+ ],
+ "𪉈": [
+ "ㄘ2"
+ ],
+ "𪉉": [
+ "ㄓㄨㄤ4"
+ ],
+ "𪉊": [
+ "ㄏㄨㄚ2"
+ ],
+ "𪉋": [
+ "ㄐㄧㄝ2"
+ ],
+ "𪉌": [
+ "ㄑㄩ2"
+ ],
+ "𪉍": [
+ "ㄊㄨ1"
+ ],
+ "𪉎": [
+ "ㄇㄧㄣ2"
+ ],
+ "𪉏": [
+ "ㄇㄟ2"
+ ],
+ "𪉐": [
+ "ㄩ2"
+ ],
+ "𪉑": [
+ "ㄠ2"
+ ],
+ "𪉒": [
+ "ㄅㄢ1"
+ ],
+ "𪉔": [
+ "ㄆㄧ1"
+ ],
+ "𪉕": [
+ "ㄓㄣ1"
+ ],
+ "𪉖": [
+ "ㄌㄨ3"
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+ "ㄔ4"
+ ],
+ "𪉘": [
+ "ㄊㄡ2"
+ ],
+ "𪉚": [
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+ ],
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+ "ㄓㄢ1"
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+ "ㄐㄧㄣ1"
+ ],
+ "𪉣": [
+ "ㄌㄨ3"
+ ],
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+ "ㄐㄧㄢ4",
+ "ㄐㄧㄢ3",
+ "ㄍㄢ4"
+ ],
+ "𪉧": [
+ "ㄊㄢ4"
+ ],
+ "𪉨": [
+ "ㄔㄤ1"
+ ],
+ "𪉪": [
+ "ㄘ4"
+ ],
+ "𪉭": [
+ "ㄨㄞ1"
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+ "ㄘㄡ4"
+ ],
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+ "ㄎㄢ4"
+ ],
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+ "ㄅㄧㄢ4"
+ ],
+ "𪉸": [
+ "ㄨㄣ1"
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+ "ㄑㄧㄢ1"
+ ],
+ "𪉿": [
+ "ㄍㄢ4"
+ ],
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+ "ㄏㄨㄟ4"
+ ],
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+ "ㄍㄢ3",
+ "ㄍㄢ4"
+ ],
+ "𪊆": [
+ "ㄐㄧ4"
+ ],
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+ "ㄍㄢ4",
+ "ㄊㄢ4"
+ ],
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+ "ㄏㄨㄞ2"
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+ "ㄙ4"
+ ],
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+ "ㄈㄨ1"
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+ "ㄆㄧ2"
+ ],
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+ "ㄘㄚ1"
+ ],
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+ "ㄅㄣ4"
+ ],
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+ "ㄕ2",
+ "ㄕ3"
+ ],
+ "𪊥": [
+ "ㄏㄨㄢ2"
+ ],
+ "𪊧": [
+ "ㄍㄨㄟ1"
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+ "ㄡ3"
+ ],
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+ "ㄆㄠ2"
+ ],
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+ "ㄧㄥ3"
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+ "ㄊㄧㄥ3"
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+ "𪊷": [
+ "ㄒㄧㄠ4"
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+ "𪊹": [
+ "ㄓㄨ4"
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+ "ㄩ2"
+ ],
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+ "ㄐㄧㄢ4"
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+ "ㄑㄩ3"
+ ],
+ "𪋅": [
+ "ㄨㄢ3"
+ ],
+ "𪋆": [
+ "ㄎㄨㄣ1"
+ ],
+ "𪋇": [
+ "ㄓㄨㄟ1"
+ ],
+ "𪋉": [
+ "ㄩ4"
+ ],
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+ "ㄍㄨㄛ3"
+ ],
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+ "ㄆㄧㄥ2"
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+ "ㄗㄨㄟ3"
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+ "𪋍": [
+ "ㄗㄨ2"
+ ],
+ "𪋏": [
+ "ㄓㄨ1"
+ ],
+ "𪋐": [
+ "ㄋㄨㄢ4"
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+ "ㄓㄨ1"
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+ "ㄆㄧㄠ1"
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+ "ㄇㄧ2"
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+ "ㄅㄧ4"
+ ],
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+ "ㄙㄨ4"
+ ],
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+ "ㄆㄨ2"
+ ],
+ "𪋢": [
+ "ㄇㄧ2"
+ ],
+ "𪋫": [
+ "ㄧㄝ4"
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+ "ㄩ3"
+ ],
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+ "ㄩ4"
+ ],
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+ "ㄓㄨ3"
+ ],
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+ "ㄌㄧㄥ2"
+ ],
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+ "ㄋㄡ4"
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+ "ㄌㄧㄥ2"
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+ "ㄌㄧㄠ3"
+ ],
+ "𪌂": [
+ "ㄊㄨㄛ1"
+ ],
+ "𪌄": [
+ "ㄅㄧ3"
+ ],
+ "𪌅": [
+ "ㄋㄚ4"
+ ],
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+ "ㄑㄩ2"
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+ "ㄆㄧ2"
+ ],
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+ "ㄉㄡ3"
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+ "ㄋㄧㄝ4"
+ ],
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+ "ㄊㄨㄣ2"
+ ],
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+ "ㄐㄧ1"
+ ],
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+ "ㄌㄧㄥ2"
+ ],
+ "𪌓": [
+ "ㄎㄨ4"
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+ "𪌔": [
+ "ㄙㄨ4"
+ ],
+ "𪌘": [
+ "ㄊㄡ3"
+ ],
+ "𪌞": [
+ "ㄋㄞ2"
+ ],
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+ "ㄗㄜ2"
+ ],
+ "𪌢": [
+ "ㄊㄨㄥ3"
+ ],
+ "𪌣": [
+ "ㄍㄜ2"
+ ],
+ "𪌤": [
+ "ㄉㄨㄟ1"
+ ],
+ "𪌧": [
+ "ㄐㄧㄝ2"
+ ],
+ "𪌩": [
+ "ㄊㄧㄢ2"
+ ],
+ "𪌪": [
+ "ㄊㄧㄠ4"
+ ],
+ "𪌫": [
+ "ㄔ2"
+ ],
+ "𪌬": [
+ "ㄑㄩ1",
+ "ㄔㄠ3"
+ ],
+ "𪌮": [
+ "ㄕㄚ1",
+ "ㄙㄨㄛ1"
+ ],
+ "𪌰": [
+ "ㄅㄛ2"
+ ],
+ "𪌱": [
+ "ㄌㄧ2"
+ ],
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+ "ㄌㄨㄛ4"
+ ],
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+ "ㄌㄧㄠ2"
+ ],
+ "𪌶": [
+ "ㄕㄨ4"
+ ],
+ "𪌷": [
+ "ㄉㄥ3"
+ ],
+ "𪌹": [
+ "ㄔ1"
+ ],
+ "𪌺": [
+ "ㄇㄧㄝ4"
+ ],
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+ "ㄊㄠ2"
+ ],
+ "𪌽": [
+ "ㄏㄨㄣ2"
+ ],
+ "𪌿": [
+ "ㄋㄧㄝ2"
+ ],
+ "𪍁": [
+ "ㄐㄩㄣ4"
+ ],
+ "𪍂": [
+ "ㄏㄨ4"
+ ],
+ "𪍄": [
+ "ㄌㄨ4"
+ ],
+ "𪍅": [
+ "ㄧㄝ4"
+ ],
+ "𪍇": [
+ "ㄇㄛ4",
+ "ㄔㄠ3",
+ "ㄇㄞ4"
+ ],
+ "𪍈": [
+ "ㄔㄠ4"
+ ],
+ "𪍌": [
+ "ㄙㄨㄛ4"
+ ],
+ "𪍎": [
+ "ㄎㄜ1"
+ ],
+ "𪍏": [
+ "ㄈㄨ4"
+ ],
+ "𪍑": [
+ "ㄔㄠ3"
+ ],
+ "𪍔": [
+ "ㄙㄨㄛ3"
+ ],
+ "𪍗": [
+ "ㄑㄧㄡ1"
+ ],
+ "𪍛": [
+ "ㄙㄨ4",
+ "ㄒㄧㄝ4"
+ ],
+ "𪍝": [
+ "ㄩㄣ4"
+ ],
+ "𪍟": [
+ "ㄙㄨㄛ3"
+ ],
+ "𪍠": [
+ "ㄎㄨ1"
+ ],
+ "𪍡": [
+ "ㄅㄛ2"
+ ],
+ "𪍣": [
+ "ㄌㄡ3"
+ ],
+ "𪍤": [
+ "ㄇㄛ4"
+ ],
+ "𪍦": [
+ "ㄌㄧㄢ3"
+ ],
+ "𪍧": [
+ "ㄒㄩㄢ4"
+ ],
+ "𪍨": [
+ "ㄙㄨㄛ3"
+ ],
+ "𪍩": [
+ "ㄇㄢ2"
+ ],
+ "𪍪": [
+ "ㄅㄧ4"
+ ],
+ "𪍲": [
+ "ㄊㄧ4"
+ ],
+ "𪍴": [
+ "ㄌㄧㄢ2"
+ ],
+ "𪍵": [
+ "ㄊㄢ2"
+ ],
+ "𪍶": [
+ "ㄕㄢ4"
+ ],
+ "𪍸": [
+ "ㄑㄩ2"
+ ],
+ "𪍹": [
+ "ㄉㄨ2"
+ ],
+ "𪍺": [
+ "ㄏㄨㄢ2",
+ "ㄏㄨㄢ4"
+ ],
+ "𪍻": [
+ "ㄙㄠ4"
+ ],
+ "𪍿": [
+ "ㄎㄨㄤ4"
+ ],
+ "𪎃": [
+ "ㄋㄧㄝ4"
+ ],
+ "𪎅": [
+ "ㄋㄧㄝ4"
+ ],
+ "𪎆": [
+ "ㄌㄨㄛ2"
+ ],
+ "𪎇": [
+ "ㄗㄨㄛ2"
+ ],
+ "𪎈": [
+ "ㄧ4"
+ ],
+ "𪎉": [
+ "ㄒㄧㄢ4"
+ ],
+ "𪎊": [
+ "ㄔㄠ3"
+ ],
+ "𪎋": [
+ "ㄊㄧㄝ4"
+ ],
+ "𪎒": [
+ "ㄕㄨㄛ4"
+ ],
+ "𪎔": [
+ "ㄇㄧ3"
+ ],
+ "𪎗": [
+ "ㄇㄧ2"
+ ],
+ "𪎛": [
+ "ㄨㄢ3"
+ ],
+ "𪎝": [
+ "ㄅㄣ4"
+ ],
+ "𪎞": [
+ "ㄑㄧㄤ1"
+ ],
+ "𪎠": [
+ "ㄇㄛ3"
+ ],
+ "𪎣": [
+ "ㄌㄧㄡ2"
+ ],
+ "𪎤": [
+ "ㄨㄛ4"
+ ],
+ "𪎦": [
+ "ㄇㄟ3"
+ ],
+ "𪎨": [
+ "ㄊㄡ2"
+ ],
+ "𪎫": [
+ "ㄇㄨ3"
+ ],
+ "𪎭": [
+ "ㄇㄟ2"
+ ],
+ "𪎲": [
+ "ㄗㄨㄛ4"
+ ],
+ "𪎴": [
+ "ㄊㄨㄣ2"
+ ],
+ "𪎵": [
+ "ㄎㄤ4"
+ ],
+ "𪎶": [
+ "ㄊㄨㄣ2"
+ ],
+ "𪎺": [
+ "ㄔㄜ4"
+ ],
+ "𪎻": [
+ "ㄓㄥ4"
+ ],
+ "𪎽": [
+ "ㄔㄨㄥ1"
+ ],
+ "𪎾": [
+ "ㄊㄧㄢ1"
+ ],
+ "𪏀": [
+ "ㄓ4"
+ ],
+ "𪏁": [
+ "ㄔㄢ2"
+ ],
+ "𪏂": [
+ "ㄔㄢ2"
+ ],
+ "𪏅": [
+ "ㄑㄧㄥ1"
+ ],
+ "𪏆": [
+ "ㄊㄨㄣ1"
+ ],
+ "𪏇": [
+ "ㄏㄨㄟ3"
+ ],
+ "𪏈": [
+ "ㄑㄩㄝ4"
+ ],
+ "𪏉": [
+ "ㄓㄢ1"
+ ],
+ "𪏊": [
+ "ㄐㄧㄢ1",
+ "ㄇㄧㄢ3"
+ ],
+ "𪏋": [
+ "ㄔㄢ2"
+ ],
+ "𪏍": [
+ "ㄏㄨㄤ2"
+ ],
+ "𪏏": [
+ "ㄏㄨㄟ1"
+ ],
+ "𪏐": [
+ "ㄔ2"
+ ],
+ "𪏒": [
+ "ㄏㄨㄤ2"
+ ],
+ "𪏓": [
+ "ㄏㄥ2"
+ ],
+ "𪏔": [
+ "ㄩㄣ3"
+ ],
+ "𪏖": [
+ "ㄊㄨㄢ1"
+ ],
+ "𪏗": [
+ "ㄅㄧㄢ1"
+ ],
+ "𪏙": [
+ "ㄏㄨㄤ2"
+ ],
+ "𪏚": [
+ "ㄩㄣ3"
+ ],
+ "𪏟": [
+ "ㄇㄛ4"
+ ],
+ "𪏠": [
+ "ㄍㄨㄥ1"
+ ],
+ "𪏢": [
+ "ㄍㄨㄥ1"
+ ],
+ "𪏤": [
+ "ㄍㄨㄟ4"
+ ],
+ "𪏦": [
+ "ㄔㄢ2"
+ ],
+ "𪏨": [
+ "ㄑㄩㄝ4"
+ ],
+ "𪏩": [
+ "ㄖㄨㄟ4"
+ ],
+ "𪏪": [
+ "ㄎㄨㄤ4"
+ ],
+ "𪏫": [
+ "ㄆㄧㄠ4"
+ ],
+ "𪏮": [
+ "ㄖㄨ3"
+ ],
+ "𪏲": [
+ "ㄋㄧㄡ3"
+ ],
+ "𪏳": [
+ "ㄏㄨ4"
+ ],
+ "𪏴": [
+ "ㄐㄧㄣ3"
+ ],
+ "𪏵": [
+ "ㄋㄧ4",
+ "ㄌㄧ2"
+ ],
+ "𪏶": [
+ "ㄅㄠ4"
+ ],
+ "𪏸": [
+ "ㄋㄧ3",
+ "ㄔ1"
+ ],
+ "𪏺": [
+ "ㄅㄧ4"
+ ],
+ "𪏻": [
+ "ㄏㄨ2"
+ ],
+ "𪏼": [
+ "ㄌㄧ2"
+ ],
+ "𪏿": [
+ "ㄓㄨ1"
+ ],
+ "𪐀": [
+ "ㄋㄚ3"
+ ],
+ "𪐂": [
+ "ㄑㄩㄢ3"
+ ],
+ "𪐃": [
+ "ㄈㄥ3"
+ ],
+ "𪐄": [
+ "ㄅㄧ3"
+ ],
+ "𪐅": [
+ "ㄌㄧ2"
+ ],
+ "𪐆": [
+ "ㄅㄧㄝ2"
+ ],
+ "𪐇": [
+ "ㄋㄧㄢ2"
+ ],
+ "𪐈": [
+ "ㄉㄨㄥ3"
+ ],
+ "𪐋": [
+ "ㄌㄧㄢ2"
+ ],
+ "𪐌": [
+ "ㄋㄧ4"
+ ],
+ "𪐍": [
+ "ㄌㄧㄢ2"
+ ],
+ "𪐎": [
+ "ㄇㄚ2"
+ ],
+ "𪐏": [
+ "ㄓㄜ2",
+ "ㄓ2"
+ ],
+ "𪐓": [
+ "ㄐㄧㄚ1"
+ ],
+ "𪐔": [
+ "ㄧ2"
+ ],
+ "𪐖": [
+ "ㄌㄨㄥ3"
+ ],
+ "𪐘": [
+ "ㄧ4",
+ "ㄧㄢ1"
+ ],
+ "𪐝": [
+ "ㄉㄞ4",
+ "ㄊㄞ4"
+ ],
+ "𪐞": [
+ "ㄉㄨ4"
+ ],
+ "𪐣": [
+ "ㄧ3"
+ ],
+ "𪐥": [
+ "ㄊㄞ4"
+ ],
+ "𪐦": [
+ "ㄏㄤ1"
+ ],
+ "𪐧": [
+ "ㄕㄨ4"
+ ],
+ "𪐬": [
+ "ㄨㄢ2"
+ ],
+ "𪐮": [
+ "ㄙㄨ4"
+ ],
+ "𪐯": [
+ "ㄧㄠ3"
+ ],
+ "𪐰": [
+ "ㄦ4"
+ ],
+ "𪐲": [
+ "ㄓㄣ4"
+ ],
+ "𪐺": [
+ "ㄉㄡ4"
+ ],
+ "𪐻": [
+ "ㄐㄧㄢ1"
+ ],
+ "𪐿": [
+ "ㄆㄤ1"
+ ],
+ "𪑀": [
+ "ㄏㄨㄟ1"
+ ],
+ "𪑂": [
+ "ㄔㄚ4"
+ ],
+ "𪑃": [
+ "ㄕㄢ1"
+ ],
+ "𪑄": [
+ "ㄌㄨ2"
+ ],
+ "𪑆": [
+ "ㄩ4"
+ ],
+ "𪑈": [
+ "ㄧㄢ4"
+ ],
+ "𪑉": [
+ "ㄨㄢ3"
+ ],
+ "𪑊": [
+ "ㄑㄧㄠ4"
+ ],
+ "𪑋": [
+ "ㄌㄨㄛ1"
+ ],
+ "𪑌": [
+ "ㄩ4"
+ ],
+ "𪑏": [
+ "ㄊㄨ2"
+ ],
+ "𪑐": [
+ "ㄨㄟ4"
+ ],
+ "𪑒": [
+ "ㄊㄨㄣ4"
+ ],
+ "𪑕": [
+ "ㄏㄨㄣ3"
+ ],
+ "𪑖": [
+ "ㄅㄣ1"
+ ],
+ "𪑗": [
+ "ㄑㄧㄝ4"
+ ],
+ "𪑙": [
+ "ㄐㄧㄣ1",
+ "ㄑㄧㄢ2"
+ ],
+ "𪑚": [
+ "ㄌㄞ2",
+ "ㄌㄧ2"
+ ],
+ "𪑜": [
+ "ㄓ3"
+ ],
+ "𪑝": [
+ "ㄩ2"
+ ],
+ "𪑟": [
+ "ㄘ4"
+ ],
+ "𪑦": [
+ "ㄧㄝ4"
+ ],
+ "𪑧": [
+ "ㄉㄧㄝ2"
+ ],
+ "𪑨": [
+ "ㄔㄚ4"
+ ],
+ "𪑩": [
+ "ㄉㄧㄢ4"
+ ],
+ "𪑪": [
+ "ㄇㄢ2"
+ ],
+ "𪑬": [
+ "ㄉㄥ4"
+ ],
+ "𪑭": [
+ "ㄨㄟ1"
+ ],
+ "𪑮": [
+ "ㄋㄧㄢ3"
+ ],
+ "𪑯": [
+ "ㄌㄟ4"
+ ],
+ "𪑰": [
+ "ㄅㄧㄥ1"
+ ],
+ "𪑱": [
+ "ㄨ1",
+ "ㄨㄛ4"
+ ],
+ "𪑳": [
+ "ㄓㄣ3"
+ ],
+ "𪑶": [
+ "ㄖㄡ2"
+ ],
+ "𪑷": [
+ "ㄨㄞ4"
+ ],
+ "𪑸": [
+ "ㄇㄧ4",
+ "ㄧㄢ1"
+ ],
+ "𪑹": [
+ "ㄐㄧㄝ4"
+ ],
+ "𪑻": [
+ "ㄏㄡ2"
+ ],
+ "𪑽": [
+ "ㄓㄞ4"
+ ],
+ "𪑾": [
+ "ㄖㄨ3"
+ ],
+ "𪑿": [
+ "ㄗ1"
+ ],
+ "𪒀": [
+ "ㄆㄢ2"
+ ],
+ "𪒂": [
+ "ㄇㄛ4"
+ ],
+ "𪒄": [
+ "ㄇㄧ4"
+ ],
+ "𪒆": [
+ "ㄑㄧ1"
+ ],
+ "𪒇": [
+ "ㄇㄛ4"
+ ],
+ "𪒊": [
+ "ㄓ1"
+ ],
+ "𪒋": [
+ "ㄅㄢ1",
+ "ㄆㄢ2"
+ ],
+ "𪒍": [
+ "ㄇㄧㄝ4"
+ ],
+ "𪒏": [
+ "ㄌㄨ4"
+ ],
+ "𪒑": [
+ "ㄑㄧ1"
+ ],
+ "𪒒": [
+ "ㄔㄨㄥ1"
+ ],
+ "𪒔": [
+ "ㄌㄧ2"
+ ],
+ "𪒕": [
+ "ㄧ4"
+ ],
+ "𪒘": [
+ "ㄉㄥ4"
+ ],
+ "𪒙": [
+ "ㄘㄨㄛ1"
+ ],
+ "𪒛": [
+ "ㄉㄨㄟ4"
+ ],
+ "𪒜": [
+ "ㄇㄚ4"
+ ],
+ "𪒝": [
+ "ㄧㄢ3"
+ ],
+ "𪒟": [
+ "ㄗㄥ4"
+ ],
+ "𪒠": [
+ "ㄧㄢ3",
+ "ㄢ3",
+ "ㄢ4"
+ ],
+ "𪒡": [
+ "ㄉㄨㄟ4",
+ "ㄉㄞ4"
+ ],
+ "𪒢": [
+ "ㄆㄨ1"
+ ],
+ "𪒥": [
+ "ㄩㄝ4"
+ ],
+ "𪒩": [
+ "ㄏㄨㄛ4"
+ ],
+ "𪒪": [
+ "ㄇㄞ4"
+ ],
+ "𪒫": [
+ "ㄐㄧㄢ3"
+ ],
+ "𪒬": [
+ "ㄋㄨㄥ2"
+ ],
+ "𪒭": [
+ "ㄑㄧㄣ2"
+ ],
+ "𪒯": [
+ "ㄑㄧㄣ2"
+ ],
+ "𪒲": [
+ "ㄧㄝ4"
+ ],
+ "𪒴": [
+ "ㄊㄞ2"
+ ],
+ "𪒹": [
+ "ㄐㄧㄢ1"
+ ],
+ "𪒼": [
+ "ㄔㄚ2"
+ ],
+ "𪒾": [
+ "ㄉㄢ4"
+ ],
+ "𪒿": [
+ "ㄊㄥ2"
+ ],
+ "𪓀": [
+ "ㄌㄧ4"
+ ],
+ "𪓃": [
+ "ㄋㄧㄤ3"
+ ],
+ "𪓄": [
+ "ㄔㄢ2"
+ ],
+ "𪓅": [
+ "ㄗㄤ1"
+ ],
+ "𪓊": [
+ "ㄩ4"
+ ],
+ "𪓌": [
+ "ㄗㄨㄟ4"
+ ],
+ "𪓍": [
+ "ㄅㄧㄢ1"
+ ],
+ "𪓐": [
+ "ㄔㄨ3"
+ ],
+ "𪓘": [
+ "ㄖㄢ2"
+ ],
+ "𪓚": [
+ "ㄖㄢ2"
+ ],
+ "𪓛": [
+ "ㄧㄤ1"
+ ],
+ "𪓜": [
+ "ㄅㄛ3"
+ ],
+ "𪓡": [
+ "ㄘㄨ4"
+ ],
+ "𪓬": [
+ "ㄇㄧ2"
+ ],
+ "𪓮": [
+ "ㄎㄜ3"
+ ],
+ "𪓰": [
+ "ㄘㄨ4"
+ ],
+ "𪓷": [
+ "ㄒㄧ2"
+ ],
+ "𪓹": [
+ "ㄇㄚ2"
+ ],
+ "𪓻": [
+ "ㄕ1"
+ ],
+ "𪓼": [
+ "ㄉㄧㄢ1"
+ ],
+ "𪓿": [
+ "ㄕ1"
+ ],
+ "𪔂": [
+ "ㄉㄧㄥ3"
+ ],
+ "𪔃": [
+ "ㄐㄩㄥ1"
+ ],
+ "𪔅": [
+ "ㄩㄢ2"
+ ],
+ "𪔆": [
+ "ㄍㄢ1"
+ ],
+ "𪔊": [
+ "ㄏㄨㄟ4"
+ ],
+ "𪔋": [
+ "ㄐㄧ1"
+ ],
+ "𪔍": [
+ "ㄆㄥ2"
+ ],
+ "𪔏": [
+ "ㄉㄥ1"
+ ],
+ "𪔑": [
+ "ㄅㄥ4"
+ ],
+ "𪔔": [
+ "ㄆㄤ1",
+ "ㄆㄥ2"
+ ],
+ "𪔕": [
+ "ㄊㄚ4",
+ "ㄌㄨㄥ2"
+ ],
+ "𪔗": [
+ "ㄩㄢ1"
+ ],
+ "𪔘": [
+ "ㄍㄠ1"
+ ],
+ "𪔙": [
+ "ㄩㄢ1"
+ ],
+ "𪔟": [
+ "ㄐㄧㄚ1"
+ ],
+ "𪔣": [
+ "ㄎㄨㄥ1"
+ ],
+ "𪔦": [
+ "ㄉㄨㄥ4"
+ ],
+ "𪔩": [
+ "ㄒㄧㄢ2"
+ ],
+ "𪔪": [
+ "ㄑㄧ4"
+ ],
+ "𪔬": [
+ "ㄙㄤ1"
+ ],
+ "𪔰": [
+ "ㄧㄣ4"
+ ],
+ "𪔳": [
+ "ㄌㄨㄥ2"
+ ],
+ "𪔶": [
+ "ㄊㄥ1"
+ ],
+ "𪔷": [
+ "ㄌㄨㄥ2"
+ ],
+ "𪔺": [
+ "ㄖㄣ4"
+ ],
+ "𪔽": [
+ "ㄧㄣ4"
+ ],
+ "𪔾": [
+ "ㄆㄧㄥ2"
+ ],
+ "𪔿": [
+ "ㄆㄨ1"
+ ],
+ "𪕀": [
+ "ㄩㄢ2"
+ ],
+ "𪕁": [
+ "ㄖㄨㄥ3",
+ "ㄔㄣ2"
+ ],
+ "𪕃": [
+ "ㄈㄤ1"
+ ],
+ "𪕇": [
+ "ㄏㄤ1"
+ ],
+ "𪕈": [
+ "ㄇㄧ2"
+ ],
+ "𪕉": [
+ "ㄏㄨ2"
+ ],
+ "𪕊": [
+ "ㄗ1"
+ ],
+ "𪕌": [
+ "ㄌㄧㄥ2"
+ ],
+ "𪕍": [
+ "ㄐㄩㄥ1"
+ ],
+ "𪕎": [
+ "ㄖㄨㄥ3"
+ ],
+ "𪕒": [
+ "ㄆㄧㄥ2"
+ ],
+ "𪕓": [
+ "ㄍㄨㄤ1"
+ ],
+ "𪕔": [
+ "ㄦ3"
+ ],
+ "𪕝": [
+ "ㄘㄨ4"
+ ],
+ "𪕞": [
+ "ㄐㄩㄣ4"
+ ],
+ "𪕦": [
+ "ㄒㄧㄡ3"
+ ],
+ "𪕨": [
+ "ㄦ2"
+ ],
+ "𪕩": [
+ "ㄊㄧ4"
+ ],
+ "𪕫": [
+ "ㄧㄤ2"
+ ],
+ "𪕭": [
+ "ㄞ4"
+ ],
+ "𪕮": [
+ "ㄏㄨ2"
+ ],
+ "𪕯": [
+ "ㄒㄧ2",
+ "ㄒㄧㄝ2"
+ ],
+ "𪕱": [
+ "ㄏㄨ2"
+ ],
+ "𪕳": [
+ "ㄙ1"
+ ],
+ "𪕴": [
+ "ㄌㄧ3"
+ ],
+ "𪕶": [
+ "ㄧ4"
+ ],
+ "𪕷": [
+ "ㄍㄨ3"
+ ],
+ "𪕹": [
+ "ㄊㄤ2"
+ ],
+ "𪖀": [
+ "ㄑㄩㄝ4"
+ ],
+ "𪖁": [
+ "ㄗㄨㄥ1"
+ ],
+ "𪖂": [
+ "ㄌㄧ2"
+ ],
+ "𪖄": [
+ "ㄐㄧㄠ4"
+ ],
+ "𪖇": [
+ "ㄈㄢ2"
+ ],
+ "𪖈": [
+ "ㄆㄨ2"
+ ],
+ "𪖉": [
+ "ㄙ1"
+ ],
+ "𪖋": [
+ "ㄐㄧㄝ2"
+ ],
+ "𪖌": [
+ "ㄌㄨ2"
+ ],
+ "𪖍": [
+ "ㄌㄧ4"
+ ],
+ "𪖎": [
+ "ㄔㄢ2"
+ ],
+ "𪖐": [
+ "ㄧㄠ4",
+ "ㄧㄚ4"
+ ],
+ "𪖕": [
+ "ㄏㄨㄟ1"
+ ],
+ "𪖙": [
+ "ㄏㄡ1"
+ ],
+ "𪖚": [
+ "ㄉㄧㄢ1"
+ ],
+ "𪖛": [
+ "ㄑㄧㄡ4"
+ ],
+ "𪖜": [
+ "ㄐㄩㄝ2"
+ ],
+ "𪖞": [
+ "ㄆㄧ4"
+ ],
+ "𪖢": [
+ "ㄎㄨㄟ1"
+ ],
+ "𪖥": [
+ "ㄒㄧ3"
+ ],
+ "𪖦": [
+ "ㄊㄧ1"
+ ],
+ "𪖩": [
+ "ㄒㄩ4"
+ ],
+ "𪖯": [
+ "ㄅㄧㄢ3"
+ ],
+ "𪖲": [
+ "ㄏㄜ1"
+ ],
+ "𪖳": [
+ "ㄌㄧㄢ2"
+ ],
+ "𪖶": [
+ "ㄙㄨ4"
+ ],
+ "𪖷": [
+ "ㄌㄧㄠ4"
+ ],
+ "𪖼": [
+ "ㄐㄧㄣ1"
+ ],
+ "𪗁": [
+ "ㄌㄧ4"
+ ],
+ "𪗂": [
+ "ㄔㄢ2"
+ ],
+ "𪗅": [
+ "ㄑㄧ2"
+ ],
+ "𪗆": [
+ "ㄑㄧ2"
+ ],
+ "𪗉": [
+ "ㄗ1"
+ ],
+ "𪗋": [
+ "ㄗ1"
+ ],
+ "𪗍": [
+ "ㄑㄧ2"
+ ],
+ "𪗏": [
+ "ㄑㄧ2"
+ ],
+ "𪗐": [
+ "ㄗ1"
+ ],
+ "𪗒": [
+ "ㄓㄞ1"
+ ],
+ "𪗓": [
+ "ㄓㄞ1"
+ ],
+ "𪗔": [
+ "ㄆㄚ4"
+ ],
+ "𪗖": [
+ "ㄐㄩ1"
+ ],
+ "𪗙": [
+ "ㄧㄢ3"
+ ],
+ "𪗜": [
+ "ㄏㄤ2"
+ ],
+ "𪗝": [
+ "ㄋㄚ4"
+ ],
+ "𪗤": [
+ "ㄧㄢ3"
+ ],
+ "𪗦": [
+ "ㄓㄢ4"
+ ],
+ "𪗧": [
+ "ㄕ3"
+ ],
+ "𪗨": [
+ "ㄓ2"
+ ],
+ "𪗭": [
+ "ㄓㄚ1"
+ ],
+ "𪗴": [
+ "ㄖㄨㄥ3"
+ ],
+ "𪗵": [
+ "ㄓㄚ1"
+ ],
+ "𪗷": [
+ "ㄧ4"
+ ],
+ "𪗸": [
+ "ㄇㄧㄥ2"
+ ],
+ "𪗹": [
+ "ㄧㄚ2"
+ ],
+ "𪗻": [
+ "ㄓ4"
+ ],
+ "𪗽": [
+ "ㄎㄨㄛ4",
+ "ㄏㄨㄚ2"
+ ],
+ "𪗾": [
+ "ㄒㄧㄚ2"
+ ],
+ "𪘀": [
+ "ㄆㄧㄢ2"
+ ],
+ "𪘁": [
+ "ㄊㄚ4",
+ "ㄒㄧㄚ2"
+ ],
+ "𪘃": [
+ "ㄧ3"
+ ],
+ "𪘆": [
+ "ㄒㄧㄡ1"
+ ],
+ "𪘇": [
+ "ㄓㄞ1"
+ ],
+ "𪘉": [
+ "ㄉㄨㄛ3"
+ ],
+ "𪘊": [
+ "ㄜ4"
+ ],
+ "𪘎": [
+ "ㄧㄣ2",
+ "ㄋㄧㄝ4"
+ ],
+ "𪘐": [
+ "ㄜ4"
+ ],
+ "𪘑": [
+ "ㄙㄨㄢ1"
+ ],
+ "𪘒": [
+ "ㄢ1"
+ ],
+ "𪘓": [
+ "ㄘㄨㄛ2"
+ ],
+ "𪘕": [
+ "ㄊㄨㄛ2"
+ ],
+ "𪘗": [
+ "ㄊㄨㄛ2"
+ ],
+ "𪘘": [
+ "ㄒㄧㄚ2"
+ ],
+ "𪘛": [
+ "ㄔㄨㄛ4"
+ ],
+ "𪘝": [
+ "ㄙㄨㄢ1"
+ ],
+ "𪘥": [
+ "ㄐㄧ4"
+ ],
+ "𪘦": [
+ "ㄑㄧㄢ3"
+ ],
+ "𪘧": [
+ "ㄗㄨ2"
+ ],
+ "𪘨": [
+ "ㄓㄞ1"
+ ],
+ "𪘩": [
+ "ㄩㄣ3",
+ "ㄎㄨㄣ3"
+ ],
+ "𪘪": [
+ "ㄓㄢ4"
+ ],
+ "𪘬": [
+ "ㄧ2",
+ "ㄧㄚ4",
+ "ㄧㄚ2"
+ ],
+ "𪘲": [
+ "ㄧㄚ2",
+ "ㄧ2",
+ "ㄧㄚ4",
+ "ㄘ1"
+ ],
+ "𪘳": [
+ "ㄩㄝ1"
+ ],
+ "𪘹": [
+ "ㄏㄜ2"
+ ],
+ "𪘺": [
+ "ㄑㄧㄚ4"
+ ],
+ "𪘾": [
+ "ㄔㄚ1"
+ ],
+ "𪙃": [
+ "ㄡ2"
+ ],
+ "𪙈": [
+ "ㄏㄨ2"
+ ],
+ "𪙊": [
+ "ㄧㄢ4"
+ ],
+ "𪙌": [
+ "ㄑㄧㄝ4"
+ ],
+ "𪙍": [
+ "ㄅㄛ2"
+ ],
+ "𪙎": [
+ "ㄑㄧㄤ1"
+ ],
+ "𪙏": [
+ "ㄐㄧㄝ4",
+ "ㄐㄧㄚ2"
+ ],
+ "𪙛": [
+ "ㄋㄧ4"
+ ],
+ "𪙞": [
+ "ㄔㄢ3"
+ ],
+ "𪙟": [
+ "ㄑㄧㄣ3"
+ ],
+ "𪙡": [
+ "ㄗㄠ1"
+ ],
+ "𪙤": [
+ "ㄧㄣ3"
+ ],
+ "𪙥": [
+ "ㄒㄧㄝ4"
+ ],
+ "𪙧": [
+ "ㄑㄧ2"
+ ],
+ "𪙨": [
+ "ㄐㄧㄢ4",
+ "ㄐㄧㄢ1"
+ ],
+ "𪙫": [
+ "ㄒㄩ1"
+ ],
+ "𪙭": [
+ "ㄗㄥ4"
+ ],
+ "𪙯": [
+ "ㄜ4"
+ ],
+ "𪙳": [
+ "ㄗㄨ1"
+ ],
+ "𪙴": [
+ "ㄧ3"
+ ],
+ "𪙹": [
+ "ㄓ2"
+ ],
+ "𪙺": [
+ "ㄌㄧ4"
+ ],
+ "𪙽": [
+ "ㄌㄧ4"
+ ],
+ "𪙾": [
+ "ㄧㄣ2"
+ ],
+ "𪚁": [
+ "ㄌㄧㄢ2"
+ ],
+ "𪚃": [
+ "ㄔㄢ2"
+ ],
+ "𪚅": [
+ "ㄐㄩㄝ2"
+ ],
+ "𪚇": [
+ "ㄗㄚ2"
+ ],
+ "𪚎": [
+ "ㄓㄞ1"
+ ],
+ "𪚏": [
+ "ㄆㄧㄢ2"
+ ],
+ "𪚑": [
+ "ㄌㄨㄥ2"
+ ],
+ "𪚓": [
+ "ㄌㄨㄥ2"
+ ],
+ "𪚘": [
+ "ㄌㄨㄥ2"
+ ],
+ "𪚝": [
+ "ㄌㄨㄥ2"
+ ],
+ "𪚠": [
+ "ㄌㄨㄥ2"
+ ],
+ "𪚢": [
+ "ㄇㄤ3"
+ ],
+ "𪚥": [
+ "ㄓㄜ2"
+ ],
+ "𪚬": [
+ "ㄍㄢ4"
+ ],
+ "𪚭": [
+ "ㄍㄡ1"
+ ],
+ "𪚮": [
+ "ㄖㄢ2"
+ ],
+ "𪚯": [
+ "ㄘㄨ4"
+ ],
+ "𪚰": [
+ "ㄐㄧㄠ1"
+ ],
+ "𪚷": [
+ "ㄅㄛ3"
+ ],
+ "𪚹": [
+ "ㄓㄨ4"
+ ],
+ "𪚺": [
+ "ㄑㄧㄡ1"
+ ],
+ "𪚻": [
+ "ㄧㄤ1"
+ ],
+ "𪛀": [
+ "ㄒㄧㄠ4"
+ ],
+ "𪛂": [
+ "ㄏㄨㄟ2"
+ ],
+ "𪛃": [
+ "ㄑㄩ1"
+ ],
+ "𪛈": [
+ "ㄌㄧㄥ2"
+ ],
+ "𪛊": [
+ "ㄧㄣ2"
+ ],
+ "𪛎": [
+ "ㄆㄧ4"
+ ],
+ "𪛒": [
+ "ㄌㄧㄢ2"
+ ],
+ "𪞝": [
+ "ㄉㄨㄛ2"
+ ],
+ "𪟝": [
+ "ㄐㄧ4",
+ "ㄐㄧ1"
+ ],
+ "𪡈": [
+ "ㄅㄞ2"
+ ],
+ "𪡏": [
+ "ㄓㄢ1"
+ ],
+ "𪢮": [
+ "ㄌㄨㄢ2"
+ ],
+ "𪣻": [
+ "ㄌㄡ2"
+ ],
+ "𪤗": [
+ "ㄌㄧㄠ4"
+ ],
+ "𪨊": [
+ "ㄙㄨㄥ2"
+ ],
+ "𪨗": [
+ "ㄐㄩㄝ1"
+ ],
+ "𪨰": [
+ "ㄑㄩ1"
+ ],
+ "𪨶": [
+ "ㄕㄜ1"
+ ],
+ "𪩘": [
+ "ㄧㄢ3"
+ ],
+ "𪪝": [
+ "ㄩㄥ1"
+ ],
+ "𪺹": [
+ "ㄋㄨ3"
+ ],
+ "𪻐": [
+ "ㄘㄨㄥ1"
+ ],
+ "𪾢": [
+ "ㄒㄧㄢ4"
+ ],
+ "𫁡": [
+ "ㄌㄧ4"
+ ],
+ "𫂈": [
+ "ㄈㄟ4"
+ ],
+ "𫂙": [
+ "ㄙㄨ4"
+ ],
+ "𫃜": [
+ "ㄎㄡ4"
+ ],
+ "𫄧": [
+ "ㄧㄢ2"
+ ],
+ "𫄨": [
+ "ㄔ1"
+ ],
+ "𫄷": [
+ "ㄧ4"
+ ],
+ "𫄸": [
+ "ㄒㄩㄣ1"
+ ],
+ "𫇭": [
+ "ㄨㄟ3"
+ ],
+ "𫈰": [
+ "ㄑㄧㄚ4"
+ ],
+ "𫋐": [
+ "ㄍㄨㄥ3"
+ ],
+ "𫌀": [
+ "ㄐㄧ1"
+ ],
+ "𫌨": [
+ "ㄌㄨㄛ2"
+ ],
+ "𫍙": [
+ "ㄧ4"
+ ],
+ "𫍟": [
+ "ㄧ2"
+ ],
+ "𫍢": [
+ "ㄋㄠ2"
+ ],
+ "𫍣": [
+ "ㄊㄨㄥ2"
+ ],
+ "𫍯": [
+ "ㄒㄧㄢ2"
+ ],
+ "𫍰": [
+ "ㄒㄧ3"
+ ],
+ "𫍲": [
+ "ㄒㄧㄠ3"
+ ],
+ "𫍽": [
+ "ㄒㄩㄢ1"
+ ],
+ "𫏋": [
+ "ㄐㄩㄝ1",
+ "ㄑㄧㄠ1"
+ ],
+ "𫐄": [
+ "ㄩㄝ4"
+ ],
+ "𫐆": [
+ "ㄎㄨㄞ4"
+ ],
+ "𫐉": [
+ "ㄌㄧㄥ2"
+ ],
+ "𫐐": [
+ "ㄋㄧ2"
+ ],
+ "𫐓": [
+ "ㄅㄨ4",
+ "ㄖㄡ2"
+ ],
+ "𫑡": [
+ "ㄇㄥ2"
+ ],
+ "𫒶": [
+ "ㄏㄢ2"
+ ],
+ "𫓧": [
+ "ㄈㄨ1"
+ ],
+ "𫓩": [
+ "ㄘㄨㄥ1"
+ ],
+ "𫓯": [
+ "ㄐㄧ1"
+ ],
+ "𫓶": [
+ "ㄒㄩㄢ1"
+ ],
+ "𫓹": [
+ "ㄐㄧ1"
+ ],
+ "𫔍": [
+ "ㄈㄢ2"
+ ],
+ "𫔎": [
+ "ㄐㄩㄝ2"
+ ],
+ "𫔶": [
+ "ㄋㄧㄝ4"
+ ],
+ "𫖮": [
+ "ㄧ3"
+ ],
+ "𫖯": [
+ "ㄈㄨ3"
+ ],
+ "𫖳": [
+ "ㄩㄣ1"
+ ],
+ "𫗠": [
+ "ㄓㄤ1"
+ ],
+ "𫗦": [
+ "ㄅㄨ4"
+ ],
+ "𫗧": [
+ "ㄙㄨ4"
+ ],
+ "𫗮": [
+ "ㄏㄨㄤ2"
+ ],
+ "𫗴": [
+ "ㄓㄢ1"
+ ],
+ "𫘜": [
+ "ㄨㄣ2"
+ ],
+ "𫘝": [
+ "ㄐㄩㄝ2"
+ ],
+ "𫘣": [
+ "ㄏㄢ4"
+ ],
+ "𫘤": [
+ "ㄞ2"
+ ],
+ "𫘦": [
+ "ㄊㄠ2"
+ ],
+ "𫘧": [
+ "ㄌㄨ4"
+ ],
+ "𫘨": [
+ "ㄊㄧ2"
+ ],
+ "𫘪": [
+ "ㄩㄢ2"
+ ],
+ "𫘬": [
+ "ㄒㄧ2"
+ ],
+ "𫚈": [
+ "ㄒㄩ4"
+ ],
+ "𫚉": [
+ "ㄏㄨㄥ2"
+ ],
+ "𫚒": [
+ "ㄈㄨ2"
+ ],
+ "𫚔": [
+ "ㄏㄨㄟ2"
+ ],
+ "𫚕": [
+ "ㄕ1"
+ ],
+ "𫚖": [
+ "ㄘ3"
+ ],
+ "𫚙": [
+ "ㄆㄨ1"
+ ],
+ "𫚭": [
+ "ㄌㄧㄝ4"
+ ],
+ "𫛛": [
+ "ㄓ1"
+ ],
+ "𫛞": [
+ "ㄐㄩㄝ2"
+ ],
+ "𫛢": [
+ "ㄋㄧㄥ2"
+ ],
+ "𫛭": [
+ "ㄎㄨㄤ2"
+ ],
+ "𫛶": [
+ "ㄔ4"
+ ],
+ "𫛸": [
+ "ㄊㄧ2"
+ ],
+ "𫜷": [
+ "ㄕㄡ4"
+ ],
+ "𫜸": [
+ "ㄏㄨㄚ4"
+ ],
+ "𫞩": [
+ "ㄇㄣ2"
+ ],
+ "𫟅": [
+ "ㄌㄧㄤ2"
+ ],
+ "𫟦": [
+ "ㄙㄨㄟ4"
+ ],
+ "𫟷": [
+ "ㄌㄧ4"
+ ],
+ "𫟹": [
+ "ㄏㄨㄥ2"
+ ],
+ "𫟼": [
+ "ㄉㄚ2"
+ ],
+ "𫠆": [
+ "ㄎㄨㄟ3"
+ ],
+ "𫠊": [
+ "ㄒㄩㄢ2"
+ ],
+ "𫠜": [
+ "ㄋㄧ2"
+ ],
+ "𫠥": [
+ "ㄌㄡ4"
+ ],
+ "𫡑": [
+ "ㄧㄣ1"
+ ],
+ "𫢸": [
+ "ㄉㄢ4"
+ ],
+ "𫫇": [
+ "ㄜ3",
+ "ㄜ4"
+ ],
+ "𫭟": [
+ "ㄡ1",
+ "ㄑㄩ1"
+ ],
+ "𫭢": [
+ "ㄌㄨㄣ3"
+ ],
+ "𫭼": [
+ "ㄌㄠ2"
+ ],
+ "𫮃": [
+ "ㄕㄢ4"
+ ],
+ "𫮬": [
+ "ㄐㄧㄤ4"
+ ],
+ "𫰛": [
+ "ㄒㄧㄥ2"
+ ],
+ "𫵷": [
+ "ㄌㄧ4"
+ ],
+ "𫶇": [
+ "ㄉㄧㄝ2"
+ ],
+ "𫷷": [
+ "ㄒㄧㄣ1"
+ ],
+ "𫸩": [
+ "ㄎㄡ1"
+ ],
+ "𫼛": [
+ "ㄉㄧㄠ4"
+ ],
+ "𫽮": [
+ "ㄉㄤ3"
+ ],
+ "𬀩": [
+ "ㄨㄟ3"
+ ],
+ "𬀪": [
+ "ㄒㄧㄢ4"
+ ],
+ "𬀷": [
+ "ㄕㄤ1"
+ ],
+ "𬂩": [
+ "ㄐㄧㄚ1"
+ ],
+ "𬃊": [
+ "ㄓ4"
+ ],
+ "𬆛": [
+ "ㄋㄠ3"
+ ],
+ "𬇕": [
+ "ㄨㄢ4"
+ ],
+ "𬇙": [
+ "ㄆㄟ4",
+ "ㄅㄟ4"
+ ],
+ "𬇹": [
+ "ㄍㄨㄛ2"
+ ],
+ "𬉼": [
+ "ㄡ1",
+ "ㄡ3"
+ ],
+ "𬊈": [
+ "ㄒㄩㄣ2"
+ ],
+ "𬊤": [
+ "ㄔㄢ3"
+ ],
+ "𬌗": [
+ "ㄏㄜ2"
+ ],
+ "𬍛": [
+ "ㄌㄧ4"
+ ],
+ "𬍡": [
+ "ㄉㄤ4"
+ ],
+ "𬍤": [
+ "ㄒㄩㄣ2"
+ ],
+ "𬐚": [
+ "ㄏㄞ3"
+ ],
+ "𬑔": [
+ "ㄓㄨㄥ4"
+ ],
+ "𬑡": [
+ "ㄔㄡ3"
+ ],
+ "𬒈": [
+ "ㄑㄩㄝ4"
+ ],
+ "𬒔": [
+ "ㄍㄥ3"
+ ],
+ "𬒗": [
+ "ㄌㄢ2"
+ ],
+ "𬒘": [
+ "ㄒㄧㄣ4"
+ ],
+ "𬓼": [
+ "ㄊㄨㄟ2"
+ ],
+ "𬕂": [
+ "ㄍㄨㄥ1",
+ "ㄌㄨㄥ3"
+ ],
+ "𬘓": [
+ "ㄒㄩㄣ2"
+ ],
+ "𬘘": [
+ "ㄉㄢ3"
+ ],
+ "𬘡": [
+ "ㄧㄣ1"
+ ],
+ "𬘩": [
+ "ㄊㄧㄥ1"
+ ],
+ "𬘫": [
+ "ㄏㄨㄢ2"
+ ],
+ "𬘬": [
+ "ㄑㄧㄢ4"
+ ],
+ "𬘭": [
+ "ㄌㄧㄣ2",
+ "ㄔㄣ1"
+ ],
+ "𬘯": [
+ "ㄓㄨㄣ3"
+ ],
+ "𬙂": [
+ "ㄧㄢ3"
+ ],
+ "𬙊": [
+ "ㄇㄛ4"
+ ],
+ "𬙋": [
+ "ㄒㄧㄤ1"
+ ],
+ "𬛸": [
+ "ㄋㄧㄝ1"
+ ],
+ "𬜬": [
+ "ㄇㄢ4"
+ ],
+ "𬜯": [
+ "ㄌㄧㄤ3"
+ ],
+ "𬞟": [
+ "ㄆㄧㄣ2"
+ ],
+ "𬟁": [
+ "ㄧ4"
+ ],
+ "𬟽": [
+ "ㄉㄨㄥ1"
+ ],
+ "𬣙": [
+ "ㄒㄩ1"
+ ],
+ "𬣞": [
+ "ㄓㄨ3"
+ ],
+ "𬣡": [
+ "ㄐㄧㄢ4"
+ ],
+ "𬣳": [
+ "ㄏㄣ3"
+ ],
+ "𬤇": [
+ "ㄧㄣ1"
+ ],
+ "𬤊": [
+ "ㄕ4"
+ ],
+ "𬤝": [
+ "ㄏㄨㄟ4"
+ ],
+ "𬤥": [
+ "ㄓㄨㄢ4"
+ ],
+ "𬨂": [
+ "ㄑㄧ2"
+ ],
+ "𬨎": [
+ "ㄧㄡ2"
+ ],
+ "𬩽": [
+ "ㄒㄩㄣ2"
+ ],
+ "𬪩": [
+ "ㄋㄨㄥ2"
+ ],
+ "𬬩": [
+ "ㄧ4"
+ ],
+ "𬬭": [
+ "ㄌㄨㄣ2"
+ ],
+ "𬬮": [
+ "ㄔㄤ3"
+ ],
+ "𬬱": [
+ "ㄐㄧㄣ1"
+ ],
+ "𬬸": [
+ "ㄕㄨ4"
+ ],
+ "𬬹": [
+ "ㄕㄣ2"
+ ],
+ "𬬻": [
+ "ㄌㄨ2"
+ ],
+ "𬬿": [
+ "ㄓㄠ1"
+ ],
+ "𬭁": [
+ "ㄇㄨ3"
+ ],
+ "𬭊": [
+ "ㄉㄨ4"
+ ],
+ "𬭎": [
+ "ㄏㄨㄥ2"
+ ],
+ "𬭚": [
+ "ㄔㄨㄣ2"
+ ],
+ "𬭛": [
+ "ㄅㄛ1"
+ ],
+ "𬭤": [
+ "ㄏㄡ2"
+ ],
+ "𬭩": [
+ "ㄨㄥ1"
+ ],
+ "𬭬": [
+ "ㄨㄟ4",
+ "ㄏㄨㄟ4"
+ ],
+ "𬭯": [
+ "ㄆㄧㄝ3"
+ ],
+ "𬭳": [
+ "ㄒㄧ3"
+ ],
+ "𬭶": [
+ "ㄏㄟ1"
+ ],
+ "𬭸": [
+ "ㄌㄧㄣ2"
+ ],
+ "𬭼": [
+ "ㄙㄨㄟ4"
+ ],
+ "𬮱": [
+ "ㄧㄣ1"
+ ],
+ "𬮿": [
+ "ㄑㄧ2",
+ "ㄍㄞ4"
+ ],
+ "𬯀": [
+ "ㄐㄧ1"
+ ],
+ "𬯎": [
+ "ㄊㄨㄟ2"
+ ],
+ "𬰃": [
+ "ㄇㄨ4"
+ ],
+ "𬱖": [
+ "ㄉㄧ2"
+ ],
+ "𬱟": [
+ "ㄨㄟ3"
+ ],
+ "𬲜": [
+ "ㄔㄥ1"
+ ],
+ "𬳲": [
+ "ㄔㄢ3"
+ ],
+ "𬳵": [
+ "ㄆㄧ1"
+ ],
+ "𬳶": [
+ "ㄐㄩㄥ1"
+ ],
+ "𬳽": [
+ "ㄕㄣ1"
+ ],
+ "𬳿": [
+ "ㄊㄨ2"
+ ],
+ "𬴂": [
+ "ㄈㄟ1"
+ ],
+ "𬴃": [
+ "ㄏㄨㄛ1"
+ ],
+ "𬴊": [
+ "ㄌㄧㄣ2"
+ ],
+ "𬶋": [
+ "ㄐㄩ1"
+ ],
+ "𬶍": [
+ "ㄊㄨㄛ2"
+ ],
+ "𬶏": [
+ "ㄨㄟ2"
+ ],
+ "𬶐": [
+ "ㄓㄠ4"
+ ],
+ "𬶟": [
+ "ㄌㄚ4"
+ ],
+ "𬶠": [
+ "ㄌㄧㄢ4"
+ ],
+ "𬶨": [
+ "ㄐㄧ4"
+ ],
+ "𬶭": [
+ "ㄐㄧ4"
+ ],
+ "𬶮": [
+ "ㄒㄧ3"
+ ],
+ "𬷕": [
+ "ㄅㄨ1",
+ "ㄅㄨ3"
+ ],
+ "𬸘": [
+ "ㄧㄢ3"
+ ],
+ "𬸚": [
+ "ㄩㄝ4"
+ ],
+ "𬸣": [
+ "ㄒㄧㄢ1"
+ ],
+ "𬸦": [
+ "ㄓㄨㄛ2"
+ ],
+ "𬸪": [
+ "ㄈㄢ2"
+ ],
+ "𬹼": [
+ "ㄒㄧㄝ4"
+ ],
+ "𬺈": [
+ "ㄧ3"
+ ],
+ "𬺓": [
+ "ㄔㄨ3"
+ ],
+ "𭀖": [
+ "ㄌㄧ2"
+ ],
+ "灰": [
+ "ㄏㄨㄟ1"
+ ],
+ "𰻝": [
+ "ㄅㄧㄤ2"
+ ],
+ "𰻞": [
+ "ㄅㄧㄤ2"
+ ]
+}
diff --git a/bert_vits2/g2pW/pypinyin_G2pW_bv2/g2pw1/char_convert.py b/bert_vits2/g2pW/pypinyin_G2pW_bv2/g2pw1/char_convert.py
new file mode 100644
index 0000000000000000000000000000000000000000..cf885534ecbe8d970572689f5457701bd3db0fc9
--- /dev/null
+++ b/bert_vits2/g2pW/pypinyin_G2pW_bv2/g2pw1/char_convert.py
@@ -0,0 +1,44 @@
+# coding=utf-8
+# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""Traditional and simplified Chinese conversion, a simplified character may correspond to multiple traditional characters.
+"""
+simplified_charcters = 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镡鐗馗镫镢镨鐡锎镄鐩镌鐬鐱镭鐶鐻鐽镱鑀鑅镔鑐鑕鑚鑛鑢鑤镥鑪镧鑯鑱鑴鑵镊镢钃镻闫闬闶闳閒闵閗閟阂関合閤哄阆閲阉閺阎阏阍阌暗闉阕阗闑闒闿闘闚阚闟闠闤闼阞阢阤阨阬阯阹阼阽陁陑陔陛陜陡陥陬骘陴険陼陾阴隃隈隒隗隞隠隣隤隩隮隰颧隳隷隹雂雈雉雊雎雑雒雗雘雚雝雟雩雰雱驿霂霅霈霊沾霒霓霙霝霢霣霤霨霩霪霫霮靁叇叆靑靓靣腼靪靮靰靳靷靸靺靼靿鞀鞃鞄鞍鞗鞙鞚鞝鞞鞡鞣鞨鞫鞬鞮鞶鞹鞾鞑韅鞯驮韍韎韔韖韘韝韫韡韣韭韭韱韹韺頀刮頄顸顼頍颀颃颁頖頞頠頫頬颅頯頲颕頼悴顋顑颙颛颜顕顚顜颟顣颥颞飐飑台飓颸飏飖颽颾颿飀飂飚飌翻飡飣饲飥饨饫飮飧飶餀餂饸饹餇餈饽哺馂餖餗餚馄馃餟餠餤餧餩餪餫糊餮糇餲饧馎糕饩馈馊馌馒饇馑馓膳饎饐饘饟馕馘馥馝馡馣骝骡馵馹駃駄駅駆駉駋驽駓驵駗骀驸駜骂骈駪駬骃駴骎駹駽駾騂騄骓騆騉騋骒骐麟騑騒験騕骛騠騢騣騤騧骧騵驺骟騺蓦骖骠骢驆驈骅驌骁驎骣驒驔驖驙驦驩驫骺鲠骫骭肮骱骴骶骷髅骾髁髂髄髆膀髇髑髌髋髙髝髞髟髡髣髧髪髫髭髯髲髳髹髺髽髾鬁鬃鬅鬈鬋鬎鬏鬐鬑鬒鬖鬗鬘鬙鬠鬣斗鬫鬬阄鬯鬰鬲鬵鬷魆魈魊魋魍魉魑魖鳔魛魟魣魦魨魬鲂魵魸鮀鲅鮆鲧鲇鲍鲋鮓鲒鲕鮟鱇鮠鮦鮨鲔鲑鮶鮸鮿鲧鯄鯆鲩鯈鲻鯕鲭鲞鯙鯠鲲鯥鲰鲶鳀鯸鳊鲗䲠鹣鳇鰋鳄鳆鰕鰛鰜鲥鰤鳏鰦鳎鳐鳁鳓鰶鲦鲡鰼鰽鱀鱄鳙鱆鳕鱎鱐鳝鳝鳜鲟鲎鱠鳣鱨鲚鱮鱲鱵鱻鲅鳦凫鳯鳲鳷鳻鴂鴃鴄鸩鴈鴎鸰鴔鴗鸳鸯鸲鹆鸱鴠鴢鸪鴥鸸鹋鴳鸻鴷鴽鵀鵁鸺鹁鵖鵙鹈鹕鹅鵟鵩鹌鵫鵵鵷鵻鹍鶂鶊鶏鶒鹙鶗鶡鶤鶦鶬鶱鹟鶵鶸鶹鹡鶿鹚鷁鷃鷄鷇䴘䴘鷊鷏鹧鷕鹥鸷鷞鷟鸶鹪鹩鷩鷫鷭鹇鹇鸴鷾䴙鸂鸇䴙鸏鸑鸒鸓鸬鹳鸜鹂鹸咸鹾麀麂麃麄麇麋麌麐麑麒麚麛麝麤麸面麫麮麯麰麺麾黁黈黉黢黒黓黕黙黝黟黥黦黧黮黰黱黪黶黹黻黼黾鼋鼂鼃鼅鼈鼍鼏鼐鼒冬鼖鼙鼚鼛鼡鼩鼱鼪鼫鼯鼷鼽齁齆齇齈齉齌赍齑龀齕齗龅齚龇齞龃龉龆齢出齧齩齮齯齰齱齵齾厐龑龒龚龖龘龝龡龢龤"
+
+traditional_characters = 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鐔鐗馗鐙鐝鐠鐡鐦鐨鐩鐫鐬鐱鐳鐶鐻鐽鐿鑀鑅鑌鑐鑕鑚鑛鑢鑤鑥鑪鑭鑯鑱鑴鑵鑷钁钃镻閆閈閌閎閒閔閗閟閡関閤閤閧閬閲閹閺閻閼閽閿闇闉闋闐闑闒闓闘闚闞闟闠闤闥阞阢阤阨阬阯阹阼阽陁陑陔陛陜陡陥陬騭陴険陼陾隂隃隈隒隗隞隠隣隤隩隮隰顴隳隷隹雂雈雉雊雎雑雒雗雘雚雝雟雩雰雱驛霂霅霈霊霑霒霓霙霝霢霣霤霨霩霪霫霮靁靆靉靑靚靣靦靪靮靰靳靷靸靺靼靿鞀鞃鞄鞌鞗鞙鞚鞝鞞鞡鞣鞨鞫鞬鞮鞶鞹鞾韃韅韉馱韍韎韔韖韘韝韞韡韣韭韮韱韹韺頀颳頄頇頊頍頎頏頒頖頞頠頫頬顱頯頲頴頼顇顋顑顒顓顔顕顚顜顢顣顬顳颭颮颱颶颸颺颻颽颾颿飀飂飈飌飜飡飣飤飥飩飫飮飱飶餀餂餄餎餇餈餑餔餕餖餗餚餛餜餟餠餤餧餩餪餫餬餮餱餲餳餺餻餼餽餿饁饅饇饉饊饍饎饐饘饟饢馘馥馝馡馣騮騾馵馹駃駄駅駆駉駋駑駓駔駗駘駙駜駡駢駪駬駰駴駸駹駽駾騂騄騅騆騉騋騍騏驎騑騒験騕騖騠騢騣騤騧驤騵騶騸騺驀驂驃驄驆驈驊驌驍驎驏驒驔驖驙驦驩驫骺鯁骫骭骯骱骴骶骷髏骾髁髂髄髆髈髐髑髕髖髙髝髞髟髡髣髧髪髫髭髯髲髳髹髺髽髾鬁鬃鬅鬈鬋鬎鬏鬐鬑鬒鬖鬗鬘鬙鬠鬣鬪鬫鬬鬮鬯鬰鬲鬵鬷魆魈魊魋魍魎魑魖鰾魛魟魣魦魨魬魴魵魸鮀鮁鮆鮌鮎鮑鮒鮓鮚鮞鮟鱇鮠鮦鮨鮪鮭鮶鮸鮿鯀鯄鯆鯇鯈鯔鯕鯖鯗鯙鯠鯤鯥鯫鯰鯷鯸鯿鰂鰆鶼鰉鰋鰐鰒鰕鰛鰜鰣鰤鰥鰦鰨鰩鰮鰳鰶鰷鱺鰼鰽鱀鱄鱅鱆鱈鱎鱐鱓鱔鱖鱘鱟鱠鱣鱨鱭鱮鱲鱵鱻鲅鳦鳧鳯鳲鳷鳻鴂鴃鴄鴆鴈鴎鴒鴔鴗鴛鴦鴝鵒鴟鴠鴢鴣鴥鴯鶓鴳鴴鴷鴽鵀鵁鵂鵓鵖鵙鵜鶘鵞鵟鵩鵪鵫鵵鵷鵻鵾鶂鶊鶏鶒鶖鶗鶡鶤鶦鶬鶱鶲鶵鶸鶹鶺鶿鷀鷁鷃鷄鷇鷈鷉鷊鷏鷓鷕鷖鷙鷞鷟鷥鷦鷯鷩鷫鷭鷳鷴鷽鷾鷿鸂鸇鸊鸏鸑鸒鸓鸕鸛鸜鸝鹸鹹鹺麀麂麃麄麇麋麌麐麑麒麚麛麝麤麩麪麫麮麯麰麺麾黁黈黌黢黒黓黕黙黝黟黥黦黧黮黰黱黲黶黹黻黼黽黿鼂鼃鼅鼈鼉鼏鼐鼒鼕鼖鼙鼚鼛鼡鼩鼱鼪鼫鼯鼷鼽齁齆齇齈齉齌齎齏齔齕齗齙齚齜齞齟齬齠齢齣齧齩齮齯齰齱齵齾龎龑龒龔龖龘龝龡龢龤"
+
+assert len(simplified_charcters) == len(simplified_charcters)
+
+s2t_dict = {}
+t2s_dict = {}
+for i, item in enumerate(simplified_charcters):
+ s2t_dict[item] = traditional_characters[i]
+ t2s_dict[traditional_characters[i]] = item
+
+
+def tranditional_to_simplified(text: str) -> str:
+ return "".join([t2s_dict[item] if item in t2s_dict else item for item in text])
+
+
+def simplified_to_traditional(text: str) -> str:
+ return "".join([s2t_dict[item] if item in s2t_dict else item for item in text])
+
+
+if __name__ == "__main__":
+ text = "一般是指存取一個應用程式啟動時始終顯示在網站或網頁瀏覽器中的一個或多個初始網頁等畫面存在的站點"
+ print(text)
+ text_simple = tranditional_to_simplified(text)
+ print(text_simple)
+ text_traditional = simplified_to_traditional(text_simple)
+ print(text_traditional)
diff --git a/bert_vits2/g2pW/pypinyin_G2pW_bv2/g2pw1/dataset.py b/bert_vits2/g2pW/pypinyin_G2pW_bv2/g2pw1/dataset.py
new file mode 100644
index 0000000000000000000000000000000000000000..c15e763458b49a2cfe02f9721b2a2826d5bba138
--- /dev/null
+++ b/bert_vits2/g2pW/pypinyin_G2pW_bv2/g2pw1/dataset.py
@@ -0,0 +1,181 @@
+# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""
+Credits
+ This code is modified from https://github.com/GitYCC/g2pW
+"""
+from typing import Dict
+from typing import List
+from typing import Tuple
+
+import numpy as np
+
+from .utils import tokenize_and_map
+
+ANCHOR_CHAR = "▁"
+
+
+def prepare_onnx_input(
+ tokenizer,
+ labels: List[str],
+ char2phonemes: Dict[str, List[int]],
+ chars: List[str],
+ texts: List[str],
+ query_ids: List[int],
+ use_mask: bool = False,
+ window_size: int = None,
+ max_len: int = 512,
+) -> Dict[str, np.array]:
+ if window_size is not None:
+ truncated_texts, truncated_query_ids = _truncate_texts(
+ window_size=window_size, texts=texts, query_ids=query_ids
+ )
+ input_ids = []
+ token_type_ids = []
+ attention_masks = []
+ phoneme_masks = []
+ char_ids = []
+ position_ids = []
+
+ for idx in range(len(texts)):
+ text = (truncated_texts if window_size else texts)[idx].lower()
+ query_id = (truncated_query_ids if window_size else query_ids)[idx]
+
+ try:
+ tokens, text2token, token2text = tokenize_and_map(
+ tokenizer=tokenizer, text=text
+ )
+ except Exception:
+ print(f'warning: text "{text}" is invalid')
+ return {}
+
+ text, query_id, tokens, text2token, token2text = _truncate(
+ max_len=max_len,
+ text=text,
+ query_id=query_id,
+ tokens=tokens,
+ text2token=text2token,
+ token2text=token2text,
+ )
+
+ processed_tokens = ["[CLS]"] + tokens + ["[SEP]"]
+
+ input_id = list(np.array(tokenizer.convert_tokens_to_ids(processed_tokens)))
+ token_type_id = list(np.zeros((len(processed_tokens),), dtype=int))
+ attention_mask = list(np.ones((len(processed_tokens),), dtype=int))
+
+ query_char = text[query_id]
+ phoneme_mask = (
+ [1 if i in char2phonemes[query_char] else 0 for i in range(len(labels))]
+ if use_mask
+ else [1] * len(labels)
+ )
+ char_id = chars.index(query_char)
+ position_id = text2token[query_id] + 1 # [CLS] token locate at first place
+
+ input_ids.append(input_id)
+ token_type_ids.append(token_type_id)
+ attention_masks.append(attention_mask)
+ phoneme_masks.append(phoneme_mask)
+ char_ids.append(char_id)
+ position_ids.append(position_id)
+
+ outputs = {
+ "input_ids": np.array(input_ids).astype(np.int64),
+ "token_type_ids": np.array(token_type_ids).astype(np.int64),
+ "attention_masks": np.array(attention_masks).astype(np.int64),
+ "phoneme_masks": np.array(phoneme_masks).astype(np.float32),
+ "char_ids": np.array(char_ids).astype(np.int64),
+ "position_ids": np.array(position_ids).astype(np.int64),
+ }
+ return outputs
+
+
+def _truncate_texts(
+ window_size: int, texts: List[str], query_ids: List[int]
+) -> Tuple[List[str], List[int]]:
+ truncated_texts = []
+ truncated_query_ids = []
+ for text, query_id in zip(texts, query_ids):
+ start = max(0, query_id - window_size // 2)
+ end = min(len(text), query_id + window_size // 2)
+ truncated_text = text[start:end]
+ truncated_texts.append(truncated_text)
+
+ truncated_query_id = query_id - start
+ truncated_query_ids.append(truncated_query_id)
+ return truncated_texts, truncated_query_ids
+
+
+def _truncate(
+ max_len: int,
+ text: str,
+ query_id: int,
+ tokens: List[str],
+ text2token: List[int],
+ token2text: List[Tuple[int]],
+):
+ truncate_len = max_len - 2
+ if len(tokens) <= truncate_len:
+ return (text, query_id, tokens, text2token, token2text)
+
+ token_position = text2token[query_id]
+
+ token_start = token_position - truncate_len // 2
+ token_end = token_start + truncate_len
+ font_exceed_dist = -token_start
+ back_exceed_dist = token_end - len(tokens)
+ if font_exceed_dist > 0:
+ token_start += font_exceed_dist
+ token_end += font_exceed_dist
+ elif back_exceed_dist > 0:
+ token_start -= back_exceed_dist
+ token_end -= back_exceed_dist
+
+ start = token2text[token_start][0]
+ end = token2text[token_end - 1][1]
+
+ return (
+ text[start:end],
+ query_id - start,
+ tokens[token_start:token_end],
+ [i - token_start if i is not None else None for i in text2token[start:end]],
+ [(s - start, e - start) for s, e in token2text[token_start:token_end]],
+ )
+
+
+def get_phoneme_labels(
+ polyphonic_chars: List[List[str]],
+) -> Tuple[List[str], Dict[str, List[int]]]:
+ labels = sorted(list(set([phoneme for char, phoneme in polyphonic_chars])))
+ char2phonemes = {}
+ for char, phoneme in polyphonic_chars:
+ if char not in char2phonemes:
+ char2phonemes[char] = []
+ char2phonemes[char].append(labels.index(phoneme))
+ return labels, char2phonemes
+
+
+def get_char_phoneme_labels(
+ polyphonic_chars: List[List[str]],
+) -> Tuple[List[str], Dict[str, List[int]]]:
+ labels = sorted(
+ list(set([f"{char} {phoneme}" for char, phoneme in polyphonic_chars]))
+ )
+ char2phonemes = {}
+ for char, phoneme in polyphonic_chars:
+ if char not in char2phonemes:
+ char2phonemes[char] = []
+ char2phonemes[char].append(labels.index(f"{char} {phoneme}"))
+ return labels, char2phonemes
diff --git a/bert_vits2/g2pW/pypinyin_G2pW_bv2/g2pw1/onnx_api.py b/bert_vits2/g2pW/pypinyin_G2pW_bv2/g2pw1/onnx_api.py
new file mode 100644
index 0000000000000000000000000000000000000000..665fc593a0db25b5c40ce5b14c5526649739f9ac
--- /dev/null
+++ b/bert_vits2/g2pW/pypinyin_G2pW_bv2/g2pw1/onnx_api.py
@@ -0,0 +1,273 @@
+# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""
+Credits
+ This code is modified from https://github.com/GitYCC/g2pW
+"""
+import json
+import os
+from typing import Any
+from typing import Dict
+from typing import List
+from typing import Tuple
+import numpy as np
+import onnxruntime
+from opencc import OpenCC
+from transformers import BertTokenizer
+from pypinyin import pinyin
+from pypinyin import Style
+
+from .dataset import get_char_phoneme_labels
+from .dataset import get_phoneme_labels
+from .dataset import prepare_onnx_input
+from .utils import load_config
+from .char_convert import tranditional_to_simplified
+
+model_version = "1.1"
+
+
+def predict(
+ session, onnx_input: Dict[str, Any], labels: List[str]
+) -> Tuple[List[str], List[float]]:
+ all_preds = []
+ all_confidences = []
+ probs = session.run(
+ [],
+ {
+ "input_ids": onnx_input["input_ids"],
+ "token_type_ids": onnx_input["token_type_ids"],
+ "attention_mask": onnx_input["attention_masks"],
+ "phoneme_mask": onnx_input["phoneme_masks"],
+ "char_ids": onnx_input["char_ids"],
+ "position_ids": onnx_input["position_ids"],
+ },
+ )[0]
+
+ preds = np.argmax(probs, axis=1).tolist()
+ max_probs = []
+ for index, arr in zip(preds, probs.tolist()):
+ max_probs.append(arr[index])
+ all_preds += [labels[pred] for pred in preds]
+ all_confidences += max_probs
+
+ return all_preds, all_confidences
+
+
+class G2PWOnnxConverter:
+ def __init__(
+ self,
+ model_dir: None,
+ model_source=None,
+ style: str = "bopomofo",
+ enable_non_tradional_chinese: bool = False,
+ ):
+ sess_options = onnxruntime.SessionOptions()
+ sess_options.graph_optimization_level = (
+ onnxruntime.GraphOptimizationLevel.ORT_ENABLE_ALL
+ )
+ sess_options.execution_mode = onnxruntime.ExecutionMode.ORT_SEQUENTIAL
+ sess_options.intra_op_num_threads = os.cpu_count() - 1
+ try:
+ self.session_g2pw = onnxruntime.InferenceSession(
+ os.path.join(model_dir, "g2pW.onnx"),
+ sess_options=sess_options,
+ providers=["CUDAExecutionProvider"],
+ )
+ except:
+ self.session_g2pw = onnxruntime.InferenceSession(
+ os.path.join(model_dir, "g2pW.onnx"), sess_options=sess_options
+ )
+ self.config = load_config(
+ os.path.join(model_dir, "config.py"), use_default=True
+ )
+
+ self.model_source = (
+ os.path.join(os.path.abspath(os.curdir), model_source)
+ if model_source
+ else os.path.join(os.path.abspath(os.curdir), self.config.model_source)
+ )
+ self.enable_opencc = enable_non_tradional_chinese
+
+ self.tokenizer = (
+ BertTokenizer.from_pretrained(self.model_source)
+ if model_source
+ else BertTokenizer.from_pretrained(self.config.model_source)
+ )
+ polyphonic_chars_path = os.path.join(model_dir, "POLYPHONIC_CHARS.txt")
+ monophonic_chars_path = os.path.join(model_dir, "MONOPHONIC_CHARS.txt")
+
+ self.polyphonic_chars = [
+ line.split("\t")
+ for line in open(polyphonic_chars_path, encoding="utf-8")
+ .read()
+ .strip()
+ .split("\n")
+ ]
+ self.non_polyphonic = {
+ "一",
+ "不",
+ "和",
+ "咋",
+ "嗲",
+ "剖",
+ "差",
+ "攢",
+ "倒",
+ "難",
+ "奔",
+ "勁",
+ "拗",
+ "肖",
+ "瘙",
+ "誒",
+ "泊",
+ "听",
+ "噢",
+ }
+ self.non_monophonic = {"似", "攢"}
+ self.monophonic_chars = [
+ line.split("\t")
+ for line in open(monophonic_chars_path, encoding="utf-8")
+ .read()
+ .strip()
+ .split("\n")
+ ]
+ self.labels, self.char2phonemes = (
+ get_char_phoneme_labels(polyphonic_chars=self.polyphonic_chars)
+ if self.config.use_char_phoneme
+ else get_phoneme_labels(polyphonic_chars=self.polyphonic_chars)
+ )
+
+ self.chars = sorted(list(self.char2phonemes.keys()))
+
+ self.polyphonic_chars_new = set(self.chars)
+ for char in self.non_polyphonic:
+ if char in self.polyphonic_chars_new:
+ self.polyphonic_chars_new.remove(char)
+
+ self.monophonic_chars_dict = {
+ char: phoneme for char, phoneme in self.monophonic_chars
+ }
+ for char in self.non_monophonic:
+ if char in self.monophonic_chars_dict:
+ self.monophonic_chars_dict.pop(char)
+
+ self.pos_tags = ["UNK", "A", "C", "D", "I", "N", "P", "T", "V", "DE", "SHI"]
+
+ with open(
+ os.path.join(
+ os.path.dirname(os.path.abspath(__file__)),
+ "bopomofo_to_pinyin_wo_tune_dict.json",
+ ),
+ "r",
+ encoding="utf-8",
+ ) as fr:
+ self.bopomofo_convert_dict = json.load(fr)
+ self.style_convert_func = {
+ "bopomofo": lambda x: x,
+ "pinyin": self._convert_bopomofo_to_pinyin,
+ }[style]
+
+ with open(
+ os.path.join(
+ os.path.dirname(os.path.abspath(__file__)), "char_bopomofo_dict.json"
+ ),
+ "r",
+ encoding="utf-8",
+ ) as fr:
+ self.char_bopomofo_dict = json.load(fr)
+
+ if self.enable_opencc:
+ self.cc = OpenCC("s2tw")
+
+ def _convert_bopomofo_to_pinyin(self, bopomofo: str) -> str:
+ tone = bopomofo[-1]
+ assert tone in "12345"
+ component = self.bopomofo_convert_dict.get(bopomofo[:-1])
+ if component:
+ return component + tone
+ else:
+ print(f'Warning: "{bopomofo}" cannot convert to pinyin')
+ return None
+
+ def __call__(self, sentences: List[str]) -> List[List[str]]:
+ if isinstance(sentences, str):
+ sentences = [sentences]
+
+ if self.enable_opencc:
+ translated_sentences = []
+ for sent in sentences:
+ translated_sent = self.cc.convert(sent)
+ assert len(translated_sent) == len(sent)
+ translated_sentences.append(translated_sent)
+ sentences = translated_sentences
+
+ texts, query_ids, sent_ids, partial_results = self._prepare_data(
+ sentences=sentences
+ )
+ if len(texts) == 0:
+ # sentences no polyphonic words
+ return partial_results
+
+ onnx_input = prepare_onnx_input(
+ tokenizer=self.tokenizer,
+ labels=self.labels,
+ char2phonemes=self.char2phonemes,
+ chars=self.chars,
+ texts=texts,
+ query_ids=query_ids,
+ use_mask=self.config.use_mask,
+ window_size=None,
+ )
+
+ preds, confidences = predict(
+ session=self.session_g2pw, onnx_input=onnx_input, labels=self.labels
+ )
+ if self.config.use_char_phoneme:
+ preds = [pred.split(" ")[1] for pred in preds]
+
+ results = partial_results
+ for sent_id, query_id, pred in zip(sent_ids, query_ids, preds):
+ results[sent_id][query_id] = self.style_convert_func(pred)
+
+ return results
+
+ def _prepare_data(
+ self, sentences: List[str]
+ ) -> Tuple[List[str], List[int], List[int], List[List[str]]]:
+ texts, query_ids, sent_ids, partial_results = [], [], [], []
+ for sent_id, sent in enumerate(sentences):
+ # pypinyin works well for Simplified Chinese than Traditional Chinese
+ sent_s = tranditional_to_simplified(sent)
+ pypinyin_result = pinyin(
+ sent_s, neutral_tone_with_five=True, style=Style.TONE3
+ )
+ partial_result = [None] * len(sent)
+ for i, char in enumerate(sent):
+ if char in self.polyphonic_chars_new:
+ texts.append(sent)
+ query_ids.append(i)
+ sent_ids.append(sent_id)
+ elif char in self.monophonic_chars_dict:
+ partial_result[i] = self.style_convert_func(
+ self.monophonic_chars_dict[char]
+ )
+ elif char in self.char_bopomofo_dict:
+ partial_result[i] = pypinyin_result[i][0]
+ # partial_result[i] = self.style_convert_func(self.char_bopomofo_dict[char][0])
+ else:
+ partial_result[i] = pypinyin_result[i][0]
+
+ partial_results.append(partial_result)
+ return texts, query_ids, sent_ids, partial_results
diff --git a/bert_vits2/g2pW/pypinyin_G2pW_bv2/g2pw1/utils.py b/bert_vits2/g2pW/pypinyin_G2pW_bv2/g2pw1/utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..2713bac732f4ff2ae3ae0120e81bd415fee9ceb4
--- /dev/null
+++ b/bert_vits2/g2pW/pypinyin_G2pW_bv2/g2pw1/utils.py
@@ -0,0 +1,144 @@
+# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""
+Credits
+ This code is modified from https://github.com/GitYCC/g2pW
+"""
+import os
+import re
+
+
+def wordize_and_map(text: str):
+ words = []
+ index_map_from_text_to_word = []
+ index_map_from_word_to_text = []
+ while len(text) > 0:
+ match_space = re.match(r"^ +", text)
+ if match_space:
+ space_str = match_space.group(0)
+ index_map_from_text_to_word += [None] * len(space_str)
+ text = text[len(space_str) :]
+ continue
+
+ match_en = re.match(r"^[a-zA-Z0-9]+", text)
+ if match_en:
+ en_word = match_en.group(0)
+
+ word_start_pos = len(index_map_from_text_to_word)
+ word_end_pos = word_start_pos + len(en_word)
+ index_map_from_word_to_text.append((word_start_pos, word_end_pos))
+
+ index_map_from_text_to_word += [len(words)] * len(en_word)
+
+ words.append(en_word)
+ text = text[len(en_word) :]
+ else:
+ word_start_pos = len(index_map_from_text_to_word)
+ word_end_pos = word_start_pos + 1
+ index_map_from_word_to_text.append((word_start_pos, word_end_pos))
+
+ index_map_from_text_to_word += [len(words)]
+
+ words.append(text[0])
+ text = text[1:]
+ return words, index_map_from_text_to_word, index_map_from_word_to_text
+
+
+def tokenize_and_map(tokenizer, text: str):
+ words, text2word, word2text = wordize_and_map(text=text)
+
+ tokens = []
+ index_map_from_token_to_text = []
+ for word, (word_start, word_end) in zip(words, word2text):
+ word_tokens = tokenizer.tokenize(word)
+
+ if len(word_tokens) == 0 or word_tokens == ["[UNK]"]:
+ index_map_from_token_to_text.append((word_start, word_end))
+ tokens.append("[UNK]")
+ else:
+ current_word_start = word_start
+ for word_token in word_tokens:
+ word_token_len = len(re.sub(r"^##", "", word_token))
+ index_map_from_token_to_text.append(
+ (current_word_start, current_word_start + word_token_len)
+ )
+ current_word_start = current_word_start + word_token_len
+ tokens.append(word_token)
+
+ index_map_from_text_to_token = text2word
+ for i, (token_start, token_end) in enumerate(index_map_from_token_to_text):
+ for token_pos in range(token_start, token_end):
+ index_map_from_text_to_token[token_pos] = i
+
+ return tokens, index_map_from_text_to_token, index_map_from_token_to_text
+
+
+def _load_config(config_path: os.PathLike):
+ import importlib.util
+
+ spec = importlib.util.spec_from_file_location("__init__", config_path)
+ config = importlib.util.module_from_spec(spec)
+ spec.loader.exec_module(config)
+ return config
+
+
+default_config_dict = {
+ "manual_seed": 1313,
+ "model_source": "bert-base-chinese",
+ "window_size": 32,
+ "num_workers": 2,
+ "use_mask": True,
+ "use_char_phoneme": False,
+ "use_conditional": True,
+ "param_conditional": {
+ "affect_location": "softmax",
+ "bias": True,
+ "char-linear": True,
+ "pos-linear": False,
+ "char+pos-second": True,
+ "char+pos-second_lowrank": False,
+ "lowrank_size": 0,
+ "char+pos-second_fm": False,
+ "fm_size": 0,
+ "fix_mode": None,
+ "count_json": "train.count.json",
+ },
+ "lr": 5e-5,
+ "val_interval": 200,
+ "num_iter": 10000,
+ "use_focal": False,
+ "param_focal": {"alpha": 0.0, "gamma": 0.7},
+ "use_pos": True,
+ "param_pos ": {
+ "weight": 0.1,
+ "pos_joint_training": True,
+ "train_pos_path": "train.pos",
+ "valid_pos_path": "dev.pos",
+ "test_pos_path": "test.pos",
+ },
+}
+
+
+def load_config(config_path: os.PathLike, use_default: bool = False):
+ config = _load_config(config_path)
+ if use_default:
+ for attr, val in default_config_dict.items():
+ if not hasattr(config, attr):
+ setattr(config, attr, val)
+ elif isinstance(val, dict):
+ d = getattr(config, attr)
+ for dict_k, dict_v in val.items():
+ if dict_k not in d:
+ d[dict_k] = dict_v
+ return config
diff --git a/bert_vits2/get_emo.py b/bert_vits2/get_emo.py
new file mode 100644
index 0000000000000000000000000000000000000000..40e76cba14bee24b55898cd926280c853e870ab2
--- /dev/null
+++ b/bert_vits2/get_emo.py
@@ -0,0 +1,92 @@
+import librosa
+import numpy as np
+import torch
+import torch.nn as nn
+from transformers import Wav2Vec2Processor
+from transformers.models.wav2vec2.modeling_wav2vec2 import (
+ Wav2Vec2Model,
+ Wav2Vec2PreTrainedModel,
+)
+
+from contants import config
+
+
+class RegressionHead(nn.Module):
+ r"""Classification head."""
+
+ def __init__(self, config):
+ super().__init__()
+
+ self.dense = nn.Linear(config.hidden_size, config.hidden_size)
+ self.dropout = nn.Dropout(config.final_dropout)
+ self.out_proj = nn.Linear(config.hidden_size, config.num_labels)
+
+ def forward(self, features, **kwargs):
+ x = features
+ x = self.dropout(x)
+ x = self.dense(x)
+ x = torch.tanh(x)
+ x = self.dropout(x)
+ x = self.out_proj(x)
+
+ return x
+
+
+class EmotionModel(Wav2Vec2PreTrainedModel):
+ r"""Speech emotion classifier."""
+
+ def __init__(self, config):
+ super().__init__(config)
+
+ self.config = config
+ self.wav2vec2 = Wav2Vec2Model(config)
+ self.classifier = RegressionHead(config)
+ self.init_weights()
+
+ def forward(
+ self,
+ input_values,
+ ):
+ outputs = self.wav2vec2(input_values)
+ hidden_states = outputs[0]
+ hidden_states = torch.mean(hidden_states, dim=1)
+ logits = self.classifier(hidden_states)
+
+ return hidden_states, logits
+
+
+def process_func(
+ x: np.ndarray,
+ sampling_rate: int,
+ model: EmotionModel,
+ processor: Wav2Vec2Processor,
+ device: str,
+ embeddings: bool = False,
+) -> np.ndarray:
+ r"""Predict emotions or extract embeddings from raw audio signal."""
+ model = model.to(device)
+ y = processor(x, sampling_rate=sampling_rate)
+ y = y["input_values"][0]
+ y = torch.from_numpy(y).unsqueeze(0).to(device)
+
+ # run through model
+ with torch.no_grad():
+ y = model(y)[0 if embeddings else 1]
+
+ # convert to numpy
+ y = y.detach().cpu().numpy()
+
+ return y
+
+
+def get_emo(audio, emotion_model, processor):
+ wav, sr = librosa.load(audio, 16000)
+ device = config.system.device
+ return process_func(
+ np.expand_dims(wav, 0).astype(np.float),
+ sr,
+ emotion_model,
+ processor,
+ device,
+ embeddings=True,
+ ).squeeze(0)
diff --git a/bert_vits2/models.py b/bert_vits2/models.py
new file mode 100644
index 0000000000000000000000000000000000000000..bfa9f73287f4f97bb5e7a59ebca5efca961a82e4
--- /dev/null
+++ b/bert_vits2/models.py
@@ -0,0 +1,799 @@
+import math
+import torch
+from torch import nn
+from torch.nn import functional as F
+
+from bert_vits2 import commons
+from bert_vits2 import modules
+from bert_vits2 import attentions
+
+from torch.nn import Conv1d, ConvTranspose1d, AvgPool1d, Conv2d
+from torch.nn.utils import weight_norm, remove_weight_norm, spectral_norm
+from vector_quantize_pytorch import VectorQuantize
+
+from bert_vits2.commons import init_weights, get_padding
+from bert_vits2.text import num_languages
+
+
+class DurationDiscriminator(nn.Module): # vits2
+ def __init__(self, in_channels, filter_channels, kernel_size, p_dropout, gin_channels=0):
+ super().__init__()
+
+ self.in_channels = in_channels
+ self.filter_channels = filter_channels
+ self.kernel_size = kernel_size
+ self.p_dropout = p_dropout
+ self.gin_channels = gin_channels
+
+ self.drop = nn.Dropout(p_dropout)
+ self.conv_1 = nn.Conv1d(in_channels, filter_channels, kernel_size, padding=kernel_size // 2)
+ self.norm_1 = modules.LayerNorm(filter_channels)
+ self.conv_2 = nn.Conv1d(
+ filter_channels, filter_channels, kernel_size, padding=kernel_size // 2
+ )
+ self.norm_2 = modules.LayerNorm(filter_channels)
+ self.dur_proj = nn.Conv1d(1, filter_channels, 1)
+
+ self.pre_out_conv_1 = nn.Conv1d(2 * filter_channels, filter_channels, kernel_size, padding=kernel_size // 2)
+ self.pre_out_norm_1 = modules.LayerNorm(filter_channels)
+ self.pre_out_conv_2 = nn.Conv1d(filter_channels, filter_channels, kernel_size, padding=kernel_size // 2)
+ self.pre_out_norm_2 = modules.LayerNorm(filter_channels)
+
+ if gin_channels != 0:
+ self.cond = nn.Conv1d(gin_channels, in_channels, 1)
+
+ self.output_layer = nn.Sequential(
+ nn.Linear(filter_channels, 1),
+ nn.Sigmoid()
+ )
+
+ def forward_probability(self, x, x_mask, dur, g=None):
+ dur = self.dur_proj(dur)
+ x = torch.cat([x, dur], dim=1)
+ x = self.pre_out_conv_1(x * x_mask)
+ x = torch.relu(x)
+ x = self.pre_out_norm_1(x)
+ x = self.drop(x)
+ x = self.pre_out_conv_2(x * x_mask)
+ x = torch.relu(x)
+ x = self.pre_out_norm_2(x)
+ x = self.drop(x)
+ x = x * x_mask
+ x = x.transpose(1, 2)
+ output_prob = self.output_layer(x)
+ return output_prob
+
+ def forward(self, x, x_mask, dur_r, dur_hat, g=None):
+ x = torch.detach(x)
+ if g is not None:
+ g = torch.detach(g)
+ x = x + self.cond(g)
+ x = self.conv_1(x * x_mask)
+ x = torch.relu(x)
+ x = self.norm_1(x)
+ x = self.drop(x)
+ x = self.conv_2(x * x_mask)
+ x = torch.relu(x)
+ x = self.norm_2(x)
+ x = self.drop(x)
+
+ output_probs = []
+ for dur in [dur_r, dur_hat]:
+ output_prob = self.forward_probability(x, x_mask, dur, g)
+ output_probs.append(output_prob)
+
+ return output_probs
+
+
+class Block(nn.Module):
+ def __init__(self, in_dim, hidden_dim) -> None:
+ super().__init__()
+ self.norm = nn.LayerNorm(in_dim)
+ self.mlp = MLP(in_dim, hidden_dim)
+
+ def forward(self, x: torch.Tensor) -> torch.Tensor:
+ x = x + self.mlp(self.norm(x))
+ return x
+
+
+class MLP(nn.Module):
+ def __init__(self, in_dim, hidden_dim):
+ super().__init__()
+ self.c_fc1 = nn.Linear(in_dim, hidden_dim, bias=False)
+ self.c_fc2 = nn.Linear(in_dim, hidden_dim, bias=False)
+ self.c_proj = nn.Linear(hidden_dim, in_dim, bias=False)
+
+ def forward(self, x: torch.Tensor):
+ x = F.silu(self.c_fc1(x)) * self.c_fc2(x)
+ x = self.c_proj(x)
+ return x
+
+
+class TransformerCouplingBlock(nn.Module):
+ def __init__(self,
+ channels,
+ hidden_channels,
+ filter_channels,
+ n_heads,
+ n_layers,
+ kernel_size,
+ p_dropout,
+ n_flows=4,
+ gin_channels=0,
+ share_parameter=False
+ ):
+
+ super().__init__()
+ self.channels = channels
+ self.hidden_channels = hidden_channels
+ self.kernel_size = kernel_size
+ self.n_layers = n_layers
+ self.n_flows = n_flows
+ self.gin_channels = gin_channels
+
+ self.flows = nn.ModuleList()
+
+ self.wn = attentions.FFT(hidden_channels, filter_channels, n_heads, n_layers, kernel_size, p_dropout,
+ isflow=True, gin_channels=self.gin_channels) if share_parameter else None
+
+ for i in range(n_flows):
+ self.flows.append(
+ modules.TransformerCouplingLayer(channels, hidden_channels, kernel_size, n_layers, n_heads, p_dropout,
+ filter_channels, mean_only=True, wn_sharing_parameter=self.wn,
+ gin_channels=self.gin_channels))
+ self.flows.append(modules.Flip())
+
+ def forward(self, x, x_mask, g=None, reverse=False):
+ if not reverse:
+ for flow in self.flows:
+ x, _ = flow(x, x_mask, g=g, reverse=reverse)
+ else:
+ for flow in reversed(self.flows):
+ x = flow(x, x_mask, g=g, reverse=reverse)
+ return x
+
+
+class StochasticDurationPredictor(nn.Module):
+ def __init__(self, in_channels, filter_channels, kernel_size, p_dropout, n_flows=4, gin_channels=0):
+ super().__init__()
+ filter_channels = in_channels # it needs to be removed from future version.
+ self.in_channels = in_channels
+ self.filter_channels = filter_channels
+ self.kernel_size = kernel_size
+ self.p_dropout = p_dropout
+ self.n_flows = n_flows
+ self.gin_channels = gin_channels
+
+ self.log_flow = modules.Log()
+ self.flows = nn.ModuleList()
+ self.flows.append(modules.ElementwiseAffine(2))
+ for i in range(n_flows):
+ self.flows.append(modules.ConvFlow(2, filter_channels, kernel_size, n_layers=3))
+ self.flows.append(modules.Flip())
+
+ self.post_pre = nn.Conv1d(1, filter_channels, 1)
+ self.post_proj = nn.Conv1d(filter_channels, filter_channels, 1)
+ self.post_convs = modules.DDSConv(filter_channels, kernel_size, n_layers=3, p_dropout=p_dropout)
+ self.post_flows = nn.ModuleList()
+ self.post_flows.append(modules.ElementwiseAffine(2))
+ for i in range(4):
+ self.post_flows.append(modules.ConvFlow(2, filter_channels, kernel_size, n_layers=3))
+ self.post_flows.append(modules.Flip())
+
+ self.pre = nn.Conv1d(in_channels, filter_channels, 1)
+ self.proj = nn.Conv1d(filter_channels, filter_channels, 1)
+ self.convs = modules.DDSConv(filter_channels, kernel_size, n_layers=3, p_dropout=p_dropout)
+ if gin_channels != 0:
+ self.cond = nn.Conv1d(gin_channels, filter_channels, 1)
+
+ def forward(self, x, x_mask, w=None, g=None, reverse=False, noise_scale=1.0):
+ x = torch.detach(x)
+ x = self.pre(x)
+ if g is not None:
+ g = torch.detach(g)
+ x = x + self.cond(g)
+ x = self.convs(x, x_mask)
+ x = self.proj(x) * x_mask
+
+ if not reverse:
+ flows = self.flows
+ assert w is not None
+
+ logdet_tot_q = 0
+ h_w = self.post_pre(w)
+ h_w = self.post_convs(h_w, x_mask)
+ h_w = self.post_proj(h_w) * x_mask
+ e_q = torch.randn(w.size(0), 2, w.size(2)).to(device=x.device, dtype=x.dtype) * x_mask
+ z_q = e_q
+ for flow in self.post_flows:
+ z_q, logdet_q = flow(z_q, x_mask, g=(x + h_w))
+ logdet_tot_q += logdet_q
+ z_u, z1 = torch.split(z_q, [1, 1], 1)
+ u = torch.sigmoid(z_u) * x_mask
+ z0 = (w - u) * x_mask
+ logdet_tot_q += torch.sum((F.logsigmoid(z_u) + F.logsigmoid(-z_u)) * x_mask, [1, 2])
+ logq = torch.sum(-0.5 * (math.log(2 * math.pi) + (e_q ** 2)) * x_mask, [1, 2]) - logdet_tot_q
+
+ logdet_tot = 0
+ z0, logdet = self.log_flow(z0, x_mask)
+ logdet_tot += logdet
+ z = torch.cat([z0, z1], 1)
+ for flow in flows:
+ z, logdet = flow(z, x_mask, g=x, reverse=reverse)
+ logdet_tot = logdet_tot + logdet
+ nll = torch.sum(0.5 * (math.log(2 * math.pi) + (z ** 2)) * x_mask, [1, 2]) - logdet_tot
+ return nll + logq # [b]
+ else:
+ flows = list(reversed(self.flows))
+ flows = flows[:-2] + [flows[-1]] # remove a useless vflow
+ z = torch.randn(x.size(0), 2, x.size(2)).to(device=x.device, dtype=x.dtype) * noise_scale
+ for flow in flows:
+ z = flow(z, x_mask, g=x, reverse=reverse)
+ z0, z1 = torch.split(z, [1, 1], 1)
+ logw = z0
+ return logw
+
+
+class DurationPredictor(nn.Module):
+ def __init__(self, in_channels, filter_channels, kernel_size, p_dropout, gin_channels=0):
+ super().__init__()
+
+ self.in_channels = in_channels
+ self.filter_channels = filter_channels
+ self.kernel_size = kernel_size
+ self.p_dropout = p_dropout
+ self.gin_channels = gin_channels
+
+ self.drop = nn.Dropout(p_dropout)
+ self.conv_1 = nn.Conv1d(in_channels, filter_channels, kernel_size, padding=kernel_size // 2)
+ self.norm_1 = modules.LayerNorm(filter_channels)
+ self.conv_2 = nn.Conv1d(filter_channels, filter_channels, kernel_size, padding=kernel_size // 2)
+ self.norm_2 = modules.LayerNorm(filter_channels)
+ self.proj = nn.Conv1d(filter_channels, 1, 1)
+
+ if gin_channels != 0:
+ self.cond = nn.Conv1d(gin_channels, in_channels, 1)
+
+ def forward(self, x, x_mask, g=None):
+ x = torch.detach(x)
+ if g is not None:
+ g = torch.detach(g)
+ x = x + self.cond(g)
+ x = self.conv_1(x * x_mask)
+ x = torch.relu(x)
+ x = self.norm_1(x)
+ x = self.drop(x)
+ x = self.conv_2(x * x_mask)
+ x = torch.relu(x)
+ x = self.norm_2(x)
+ x = self.drop(x)
+ x = self.proj(x * x_mask)
+ return x * x_mask
+
+
+class TextEncoder(nn.Module):
+ def __init__(self,
+ n_vocab,
+ out_channels,
+ hidden_channels,
+ filter_channels,
+ n_heads,
+ n_layers,
+ kernel_size,
+ p_dropout,
+ n_speakers,
+ gin_channels=0,
+ symbols=None,
+ ja_bert_dim=1024,
+ num_tones=None,
+ emotion_embedding=1,
+ zh_bert_extra=False,
+ ):
+ super().__init__()
+ self.n_vocab = n_vocab
+ self.out_channels = out_channels
+ self.hidden_channels = hidden_channels
+ self.filter_channels = filter_channels
+ self.n_heads = n_heads
+ self.n_layers = n_layers
+ self.kernel_size = kernel_size
+ self.p_dropout = p_dropout
+ self.gin_channels = gin_channels
+ self.emb = nn.Embedding(len(symbols), hidden_channels)
+ nn.init.normal_(self.emb.weight, 0.0, hidden_channels ** -0.5)
+ self.tone_emb = nn.Embedding(num_tones, hidden_channels)
+ nn.init.normal_(self.tone_emb.weight, 0.0, hidden_channels ** -0.5)
+ self.language_emb = nn.Embedding(num_languages, hidden_channels)
+ nn.init.normal_(self.language_emb.weight, 0.0, hidden_channels ** -0.5)
+ self.bert_proj = nn.Conv1d(1024, hidden_channels, 1)
+ self.zh_bert_extra = zh_bert_extra
+ if self.zh_bert_extra:
+ self.bert_pre_proj = nn.Conv1d(2048, 1024, 1)
+ self.ja_bert_proj = nn.Conv1d(ja_bert_dim, hidden_channels, 1)
+ self.en_bert_proj = nn.Conv1d(1024, hidden_channels, 1)
+ self.emotion_embedding = emotion_embedding
+
+ if self.emotion_embedding == 1:
+ self.emo_proj = nn.Linear(1024, 1024)
+ self.emo_quantizer = VectorQuantize(
+ dim=1024,
+ codebook_size=10,
+ decay=0.8,
+ commitment_weight=1.0,
+ learnable_codebook=True,
+ ema_update=False,
+ )
+ self.emo_q_proj = nn.Linear(1024, hidden_channels)
+ elif self.emotion_embedding == 2:
+ self.in_feature_net = nn.Sequential(
+ # input is assumed to an already normalized embedding
+ nn.Linear(512, 1028, bias=False),
+ nn.GELU(),
+ nn.LayerNorm(1028),
+ *[Block(1028, 512) for _ in range(1)],
+ nn.Linear(1028, 512, bias=False),
+ # normalize before passing to VQ?
+ # nn.GELU(),
+ # nn.LayerNorm(512),
+ )
+ self.emo_vq = VectorQuantize(
+ dim=512,
+ codebook_size=64,
+ codebook_dim=32,
+ commitment_weight=0.1,
+ decay=0.85,
+ heads=32,
+ kmeans_iters=20,
+ separate_codebook_per_head=True,
+ stochastic_sample_codes=True,
+ threshold_ema_dead_code=2,
+ )
+ self.out_feature_net = nn.Linear(512, hidden_channels)
+
+ self.encoder = attentions.Encoder(
+ hidden_channels,
+ filter_channels,
+ n_heads,
+ n_layers,
+ kernel_size,
+ p_dropout,
+ gin_channels=self.gin_channels)
+ self.proj = nn.Conv1d(hidden_channels, out_channels * 2, 1)
+
+ def forward(self, x, x_lengths, tone, language, zh_bert, ja_bert, en_bert, emo=None, sid=None, g=None):
+ x = self.emb(x) + self.tone_emb(tone) + self.language_emb(language)
+
+ if self.zh_bert_extra:
+ zh_bert = self.bert_pre_proj(zh_bert)
+ x += self.bert_proj(zh_bert).transpose(1, 2)
+ x += self.ja_bert_proj(ja_bert).transpose(1, 2)
+ x += self.en_bert_proj(en_bert).transpose(1, 2)
+
+ x *= math.sqrt(self.hidden_channels) # [b, t, h]
+ if self.emotion_embedding == 1:
+ # emo = emo.to(zh_bert_emb.device)
+ if emo.size(-1) == 1024:
+ emo_emb = self.emo_proj(emo.unsqueeze(1))
+ emo_emb_ = []
+ for i in range(emo_emb.size(0)):
+ temp_emo_emb, _, _ = self.emo_quantizer(
+ emo_emb[i].unsqueeze(0).to(emo.device)
+ )
+ emo_emb_.append(temp_emo_emb)
+ emo_emb = torch.cat(emo_emb_, dim=0).to(emo_emb.device)
+ else:
+ emo_emb = (
+ self.emo_quantizer.get_output_from_indices(emo.to(torch.long))
+ .unsqueeze(0)
+ .to(emo.device)
+ )
+
+ x += self.emo_q_proj(emo_emb)
+ elif self.emotion_embedding == 2:
+ emo_emb = self.in_feature_net(emo)
+ emo_emb, _, _ = self.emo_vq(emo_emb.unsqueeze(1))
+ emo_emb = self.out_feature_net(emo_emb)
+ x += emo_emb
+
+ x *= math.sqrt(self.hidden_channels) # [b, t, h]
+ x = torch.transpose(x, 1, -1) # [b, h, t]
+ x_mask = torch.unsqueeze(commons.sequence_mask(x_lengths, x.size(2)), 1).to(x.dtype)
+
+ x = self.encoder(x * x_mask, x_mask, g=g)
+ stats = self.proj(x) * x_mask
+
+ m, logs = torch.split(stats, self.out_channels, dim=1)
+ return x, m, logs, x_mask
+
+
+class ResidualCouplingBlock(nn.Module):
+ def __init__(self,
+ channels,
+ hidden_channels,
+ kernel_size,
+ dilation_rate,
+ n_layers,
+ n_flows=4,
+ gin_channels=0):
+ super().__init__()
+ self.channels = channels
+ self.hidden_channels = hidden_channels
+ self.kernel_size = kernel_size
+ self.dilation_rate = dilation_rate
+ self.n_layers = n_layers
+ self.n_flows = n_flows
+ self.gin_channels = gin_channels
+
+ self.flows = nn.ModuleList()
+ for i in range(n_flows):
+ self.flows.append(
+ modules.ResidualCouplingLayer(channels, hidden_channels, kernel_size, dilation_rate, n_layers,
+ gin_channels=gin_channels, mean_only=True))
+ self.flows.append(modules.Flip())
+
+ def forward(self, x, x_mask, g=None, reverse=False):
+ if not reverse:
+ for flow in self.flows:
+ x, _ = flow(x, x_mask, g=g, reverse=reverse)
+ else:
+ for flow in reversed(self.flows):
+ x = flow(x, x_mask, g=g, reverse=reverse)
+ return x
+
+
+class PosteriorEncoder(nn.Module):
+ def __init__(self,
+ in_channels,
+ out_channels,
+ hidden_channels,
+ kernel_size,
+ dilation_rate,
+ n_layers,
+ gin_channels=0):
+ super().__init__()
+ self.in_channels = in_channels
+ self.out_channels = out_channels
+ self.hidden_channels = hidden_channels
+ self.kernel_size = kernel_size
+ self.dilation_rate = dilation_rate
+ self.n_layers = n_layers
+ self.gin_channels = gin_channels
+
+ self.pre = nn.Conv1d(in_channels, hidden_channels, 1)
+ self.enc = modules.WN(hidden_channels, kernel_size, dilation_rate, n_layers, gin_channels=gin_channels)
+ self.proj = nn.Conv1d(hidden_channels, out_channels * 2, 1)
+
+ def forward(self, x, x_lengths, g=None):
+ x_mask = torch.unsqueeze(commons.sequence_mask(x_lengths, x.size(2)), 1).to(x.dtype)
+ x = self.pre(x) * x_mask
+ x = self.enc(x, x_mask, g=g)
+ stats = self.proj(x) * x_mask
+ m, logs = torch.split(stats, self.out_channels, dim=1)
+ z = (m + torch.randn_like(m) * torch.exp(logs)) * x_mask
+ return z, m, logs, x_mask
+
+
+class Generator(torch.nn.Module):
+ def __init__(self, initial_channel, resblock, resblock_kernel_sizes, resblock_dilation_sizes, upsample_rates,
+ upsample_initial_channel, upsample_kernel_sizes, gin_channels=0):
+ super(Generator, self).__init__()
+ self.num_kernels = len(resblock_kernel_sizes)
+ self.num_upsamples = len(upsample_rates)
+ self.conv_pre = Conv1d(initial_channel, upsample_initial_channel, 7, 1, padding=3)
+ resblock = modules.ResBlock1 if resblock == '1' else modules.ResBlock2
+
+ self.ups = nn.ModuleList()
+ for i, (u, k) in enumerate(zip(upsample_rates, upsample_kernel_sizes)):
+ self.ups.append(weight_norm(
+ ConvTranspose1d(upsample_initial_channel // (2 ** i), upsample_initial_channel // (2 ** (i + 1)),
+ k, u, padding=(k - u) // 2)))
+
+ self.resblocks = nn.ModuleList()
+ for i in range(len(self.ups)):
+ ch = upsample_initial_channel // (2 ** (i + 1))
+ for j, (k, d) in enumerate(zip(resblock_kernel_sizes, resblock_dilation_sizes)):
+ self.resblocks.append(resblock(ch, k, d))
+
+ self.conv_post = Conv1d(ch, 1, 7, 1, padding=3, bias=False)
+ self.ups.apply(init_weights)
+
+ if gin_channels != 0:
+ self.cond = nn.Conv1d(gin_channels, upsample_initial_channel, 1)
+
+ def forward(self, x, g=None):
+ x = self.conv_pre(x)
+ if g is not None:
+ x = x + self.cond(g)
+
+ for i in range(self.num_upsamples):
+ x = F.leaky_relu(x, modules.LRELU_SLOPE)
+ x = self.ups[i](x)
+ xs = None
+ for j in range(self.num_kernels):
+ if xs is None:
+ xs = self.resblocks[i * self.num_kernels + j](x)
+ else:
+ xs += self.resblocks[i * self.num_kernels + j](x)
+ x = xs / self.num_kernels
+ x = F.leaky_relu(x)
+ x = self.conv_post(x)
+ x = torch.tanh(x)
+
+ return x
+
+ def remove_weight_norm(self):
+ print('Removing weight norm...')
+ for l in self.ups:
+ remove_weight_norm(l)
+ for l in self.resblocks:
+ l.remove_weight_norm()
+
+
+class DiscriminatorP(torch.nn.Module):
+ def __init__(self, period, kernel_size=5, stride=3, use_spectral_norm=False):
+ super(DiscriminatorP, self).__init__()
+ self.period = period
+ self.use_spectral_norm = use_spectral_norm
+ norm_f = weight_norm if use_spectral_norm == False else spectral_norm
+ self.convs = nn.ModuleList([
+ norm_f(Conv2d(1, 32, (kernel_size, 1), (stride, 1), padding=(get_padding(kernel_size, 1), 0))),
+ norm_f(Conv2d(32, 128, (kernel_size, 1), (stride, 1), padding=(get_padding(kernel_size, 1), 0))),
+ norm_f(Conv2d(128, 512, (kernel_size, 1), (stride, 1), padding=(get_padding(kernel_size, 1), 0))),
+ norm_f(Conv2d(512, 1024, (kernel_size, 1), (stride, 1), padding=(get_padding(kernel_size, 1), 0))),
+ norm_f(Conv2d(1024, 1024, (kernel_size, 1), 1, padding=(get_padding(kernel_size, 1), 0))),
+ ])
+ self.conv_post = norm_f(Conv2d(1024, 1, (3, 1), 1, padding=(1, 0)))
+
+ def forward(self, x):
+ fmap = []
+
+ # 1d to 2d
+ b, c, t = x.shape
+ if t % self.period != 0: # pad first
+ n_pad = self.period - (t % self.period)
+ x = F.pad(x, (0, n_pad), "reflect")
+ t = t + n_pad
+ x = x.view(b, c, t // self.period, self.period)
+
+ for l in self.convs:
+ x = l(x)
+ x = F.leaky_relu(x, modules.LRELU_SLOPE)
+ fmap.append(x)
+ x = self.conv_post(x)
+ fmap.append(x)
+ x = torch.flatten(x, 1, -1)
+
+ return x, fmap
+
+
+class DiscriminatorS(torch.nn.Module):
+ def __init__(self, use_spectral_norm=False):
+ super(DiscriminatorS, self).__init__()
+ norm_f = weight_norm if use_spectral_norm == False else spectral_norm
+ self.convs = nn.ModuleList([
+ norm_f(Conv1d(1, 16, 15, 1, padding=7)),
+ norm_f(Conv1d(16, 64, 41, 4, groups=4, padding=20)),
+ norm_f(Conv1d(64, 256, 41, 4, groups=16, padding=20)),
+ norm_f(Conv1d(256, 1024, 41, 4, groups=64, padding=20)),
+ norm_f(Conv1d(1024, 1024, 41, 4, groups=256, padding=20)),
+ norm_f(Conv1d(1024, 1024, 5, 1, padding=2)),
+ ])
+ self.conv_post = norm_f(Conv1d(1024, 1, 3, 1, padding=1))
+
+ def forward(self, x):
+ fmap = []
+
+ for l in self.convs:
+ x = l(x)
+ x = F.leaky_relu(x, modules.LRELU_SLOPE)
+ fmap.append(x)
+ x = self.conv_post(x)
+ fmap.append(x)
+ x = torch.flatten(x, 1, -1)
+
+ return x, fmap
+
+
+class MultiPeriodDiscriminator(torch.nn.Module):
+ def __init__(self, use_spectral_norm=False):
+ super(MultiPeriodDiscriminator, self).__init__()
+ periods = [2, 3, 5, 7, 11]
+
+ discs = [DiscriminatorS(use_spectral_norm=use_spectral_norm)]
+ discs = discs + [DiscriminatorP(i, use_spectral_norm=use_spectral_norm) for i in periods]
+ self.discriminators = nn.ModuleList(discs)
+
+ def forward(self, y, y_hat):
+ y_d_rs = []
+ y_d_gs = []
+ fmap_rs = []
+ fmap_gs = []
+ for i, d in enumerate(self.discriminators):
+ y_d_r, fmap_r = d(y)
+ y_d_g, fmap_g = d(y_hat)
+ y_d_rs.append(y_d_r)
+ y_d_gs.append(y_d_g)
+ fmap_rs.append(fmap_r)
+ fmap_gs.append(fmap_g)
+
+ return y_d_rs, y_d_gs, fmap_rs, fmap_gs
+
+
+class ReferenceEncoder(nn.Module):
+ '''
+ inputs --- [N, Ty/r, n_mels*r] mels
+ outputs --- [N, ref_enc_gru_size]
+ '''
+
+ def __init__(self, spec_channels, gin_channels=0):
+
+ super().__init__()
+ self.spec_channels = spec_channels
+ ref_enc_filters = [32, 32, 64, 64, 128, 128]
+ K = len(ref_enc_filters)
+ filters = [1] + ref_enc_filters
+ convs = [weight_norm(nn.Conv2d(in_channels=filters[i],
+ out_channels=filters[i + 1],
+ kernel_size=(3, 3),
+ stride=(2, 2),
+ padding=(1, 1))) for i in range(K)]
+ self.convs = nn.ModuleList(convs)
+ # self.wns = nn.ModuleList([weight_norm(num_features=ref_enc_filters[i]) for i in range(K)])
+
+ out_channels = self.calculate_channels(spec_channels, 3, 2, 1, K)
+ self.gru = nn.GRU(input_size=ref_enc_filters[-1] * out_channels,
+ hidden_size=256 // 2,
+ batch_first=True)
+ self.proj = nn.Linear(128, gin_channels)
+
+ def forward(self, inputs, mask=None):
+ N = inputs.size(0)
+ out = inputs.view(N, 1, -1, self.spec_channels) # [N, 1, Ty, n_freqs]
+ for conv in self.convs:
+ out = conv(out)
+ # out = wn(out)
+ out = F.relu(out) # [N, 128, Ty//2^K, n_mels//2^K]
+
+ out = out.transpose(1, 2) # [N, Ty//2^K, 128, n_mels//2^K]
+ T = out.size(1)
+ N = out.size(0)
+ out = out.contiguous().view(N, T, -1) # [N, Ty//2^K, 128*n_mels//2^K]
+
+ self.gru.flatten_parameters()
+ memory, out = self.gru(out) # out --- [1, N, 128]
+
+ return self.proj(out.squeeze(0))
+
+ def calculate_channels(self, L, kernel_size, stride, pad, n_convs):
+ for i in range(n_convs):
+ L = (L - kernel_size + 2 * pad) // stride + 1
+ return L
+
+
+class SynthesizerTrn(nn.Module):
+ """
+ Synthesizer for Training
+ """
+
+ def __init__(self,
+ n_vocab,
+ spec_channels,
+ segment_size,
+ inter_channels,
+ hidden_channels,
+ filter_channels,
+ n_heads,
+ n_layers,
+ kernel_size,
+ p_dropout,
+ resblock,
+ resblock_kernel_sizes,
+ resblock_dilation_sizes,
+ upsample_rates,
+ upsample_initial_channel,
+ upsample_kernel_sizes,
+ n_speakers=256,
+ gin_channels=256,
+ use_sdp=True,
+ n_flow_layer=4,
+ n_layers_trans_flow=6,
+ flow_share_parameter=False,
+ use_transformer_flow=True,
+ symbols=None,
+ ja_bert_dim=1024,
+ num_tones=None,
+ emotion_embedding=False,
+ zh_bert_extra=False,
+ **kwargs):
+
+ super().__init__()
+ self.n_vocab = n_vocab
+ self.spec_channels = spec_channels
+ self.inter_channels = inter_channels
+ self.hidden_channels = hidden_channels
+ self.filter_channels = filter_channels
+ self.n_heads = n_heads
+ self.n_layers = n_layers
+ self.kernel_size = kernel_size
+ self.p_dropout = p_dropout
+ self.resblock = resblock
+ self.resblock_kernel_sizes = resblock_kernel_sizes
+ self.resblock_dilation_sizes = resblock_dilation_sizes
+ self.upsample_rates = upsample_rates
+ self.upsample_initial_channel = upsample_initial_channel
+ self.upsample_kernel_sizes = upsample_kernel_sizes
+ self.segment_size = segment_size
+ self.n_speakers = n_speakers
+ self.gin_channels = gin_channels
+ self.n_layers_trans_flow = n_layers_trans_flow
+ self.use_spk_conditioned_encoder = kwargs.get("use_spk_conditioned_encoder", True)
+ self.use_sdp = use_sdp
+ self.use_noise_scaled_mas = kwargs.get("use_noise_scaled_mas", False)
+ self.mas_noise_scale_initial = kwargs.get("mas_noise_scale_initial", 0.01)
+ self.noise_scale_delta = kwargs.get("noise_scale_delta", 2e-6)
+ self.current_mas_noise_scale = self.mas_noise_scale_initial
+ if self.use_spk_conditioned_encoder and gin_channels > 0:
+ self.enc_gin_channels = gin_channels
+ self.emotion_embedding = emotion_embedding
+ self.enc_p = TextEncoder(n_vocab,
+ inter_channels,
+ hidden_channels,
+ filter_channels,
+ n_heads,
+ n_layers,
+ kernel_size,
+ p_dropout,
+ self.n_speakers,
+ gin_channels=self.enc_gin_channels,
+ symbols=symbols,
+ ja_bert_dim=ja_bert_dim,
+ num_tones=num_tones,
+ emotion_embedding=self.emotion_embedding,
+ zh_bert_extra=zh_bert_extra,
+ )
+ self.dec = Generator(inter_channels, resblock, resblock_kernel_sizes, resblock_dilation_sizes, upsample_rates,
+ upsample_initial_channel, upsample_kernel_sizes, gin_channels=gin_channels)
+ self.enc_q = PosteriorEncoder(spec_channels, inter_channels, hidden_channels, 5, 1, 16,
+ gin_channels=gin_channels)
+ if use_transformer_flow:
+ self.flow = TransformerCouplingBlock(inter_channels, hidden_channels, filter_channels, n_heads,
+ n_layers_trans_flow, 5, p_dropout, n_flow_layer,
+ gin_channels=gin_channels, share_parameter=flow_share_parameter)
+ else:
+ self.flow = ResidualCouplingBlock(inter_channels, hidden_channels, 5, 1, n_flow_layer,
+ gin_channels=gin_channels)
+ self.sdp = StochasticDurationPredictor(hidden_channels, 192, 3, 0.5, 4, gin_channels=gin_channels)
+ self.dp = DurationPredictor(hidden_channels, 256, 3, 0.5, gin_channels=gin_channels)
+
+ if self.n_speakers > 0:
+ self.emb_g = nn.Embedding(self.n_speakers, gin_channels)
+ else:
+ self.ref_enc = ReferenceEncoder(spec_channels, gin_channels)
+
+ def infer(self, x, x_lengths, sid, tone, language, zh_bert, ja_bert, en_bert, noise_scale=.667, length_scale=1,
+ noise_scale_w=0.8, max_len=None, sdp_ratio=0, y=None, emo=None):
+ # x, m_p, logs_p, x_mask = self.enc_p(x, x_lengths, tone, language, bert)
+ # g = self.gst(y)
+ if self.n_speakers > 0:
+ g = self.emb_g(sid).unsqueeze(-1) # [b, h, 1]
+ else:
+ g = self.ref_enc(y.transpose(1, 2)).unsqueeze(-1)
+ x, m_p, logs_p, x_mask = self.enc_p(x, x_lengths, tone, language, zh_bert, ja_bert, en_bert, emo, sid, g=g)
+ logw = self.sdp(x, x_mask, g=g, reverse=True, noise_scale=noise_scale_w) * (sdp_ratio) + self.dp(x, x_mask,
+ g=g) * (
+ 1 - sdp_ratio)
+ w = torch.exp(logw) * x_mask * length_scale
+ w_ceil = torch.ceil(w)
+ y_lengths = torch.clamp_min(torch.sum(w_ceil, [1, 2]), 1).long()
+ y_mask = torch.unsqueeze(commons.sequence_mask(y_lengths, None), 1).to(x_mask.dtype)
+ attn_mask = torch.unsqueeze(x_mask, 2) * torch.unsqueeze(y_mask, -1)
+ attn = commons.generate_path(w_ceil, attn_mask)
+
+ m_p = torch.matmul(attn.squeeze(1), m_p.transpose(1, 2)).transpose(1, 2) # [b, t', t], [b, t, d] -> [b, d, t']
+ logs_p = torch.matmul(attn.squeeze(1), logs_p.transpose(1, 2)).transpose(1,
+ 2) # [b, t', t], [b, t, d] -> [b, d, t']
+
+ z_p = m_p + torch.randn_like(m_p) * torch.exp(logs_p) * noise_scale
+ z = self.flow(z_p, y_mask, g=g, reverse=True)
+ o = self.dec((z * y_mask)[:, :, :max_len], g=g)
+ return o, attn, y_mask, (z, z_p, m_p, logs_p)
diff --git a/bert_vits2/models_ja_extra.py b/bert_vits2/models_ja_extra.py
new file mode 100644
index 0000000000000000000000000000000000000000..6f9e30f486d80ff14565aa25d0b5290c45b248ab
--- /dev/null
+++ b/bert_vits2/models_ja_extra.py
@@ -0,0 +1,1016 @@
+import math
+import torch
+from torch import nn
+from torch.nn import functional as F
+
+from bert_vits2 import commons
+from bert_vits2 import modules
+from bert_vits2 import attentions
+
+from torch.nn import Conv1d, ConvTranspose1d, Conv2d
+from torch.nn.utils import weight_norm, remove_weight_norm, spectral_norm
+
+from bert_vits2.commons import init_weights, get_padding
+from bert_vits2.text import symbols, num_tones, num_languages
+
+from vector_quantize_pytorch import VectorQuantize
+
+
+class DurationDiscriminator(nn.Module): # vits2
+ def __init__(
+ self, in_channels, filter_channels, kernel_size, p_dropout, gin_channels=0
+ ):
+ super().__init__()
+
+ self.in_channels = in_channels
+ self.filter_channels = filter_channels
+ self.kernel_size = kernel_size
+ self.p_dropout = p_dropout
+ self.gin_channels = gin_channels
+
+ self.drop = nn.Dropout(p_dropout)
+ self.conv_1 = nn.Conv1d(
+ in_channels, filter_channels, kernel_size, padding=kernel_size // 2
+ )
+ self.norm_1 = modules.LayerNorm(filter_channels)
+ self.conv_2 = nn.Conv1d(
+ filter_channels, filter_channels, kernel_size, padding=kernel_size // 2
+ )
+ self.norm_2 = modules.LayerNorm(filter_channels)
+ self.dur_proj = nn.Conv1d(1, filter_channels, 1)
+
+ self.LSTM = nn.LSTM(
+ 2 * filter_channels, filter_channels, batch_first=True, bidirectional=True
+ )
+
+ if gin_channels != 0:
+ self.cond = nn.Conv1d(gin_channels, in_channels, 1)
+
+ self.output_layer = nn.Sequential(
+ nn.Linear(2 * filter_channels, 1), nn.Sigmoid()
+ )
+
+ def forward_probability(self, x, dur):
+ dur = self.dur_proj(dur)
+ x = torch.cat([x, dur], dim=1)
+ x = x.transpose(1, 2)
+ x, _ = self.LSTM(x)
+ output_prob = self.output_layer(x)
+ return output_prob
+
+ def forward(self, x, x_mask, dur_r, dur_hat, g=None):
+ x = torch.detach(x)
+ if g is not None:
+ g = torch.detach(g)
+ x = x + self.cond(g)
+ x = self.conv_1(x * x_mask)
+ x = torch.relu(x)
+ x = self.norm_1(x)
+ x = self.drop(x)
+ x = self.conv_2(x * x_mask)
+ x = torch.relu(x)
+ x = self.norm_2(x)
+ x = self.drop(x)
+
+ output_probs = []
+ for dur in [dur_r, dur_hat]:
+ output_prob = self.forward_probability(x, dur)
+ output_probs.append(output_prob)
+
+ return output_probs
+
+
+class TransformerCouplingBlock(nn.Module):
+ def __init__(
+ self,
+ channels,
+ hidden_channels,
+ filter_channels,
+ n_heads,
+ n_layers,
+ kernel_size,
+ p_dropout,
+ n_flows=4,
+ gin_channels=0,
+ share_parameter=False,
+ ):
+ super().__init__()
+ self.channels = channels
+ self.hidden_channels = hidden_channels
+ self.kernel_size = kernel_size
+ self.n_layers = n_layers
+ self.n_flows = n_flows
+ self.gin_channels = gin_channels
+
+ self.flows = nn.ModuleList()
+
+ self.wn = (
+ attentions.FFT(
+ hidden_channels,
+ filter_channels,
+ n_heads,
+ n_layers,
+ kernel_size,
+ p_dropout,
+ isflow=True,
+ gin_channels=self.gin_channels,
+ )
+ if share_parameter
+ else None
+ )
+
+ for i in range(n_flows):
+ self.flows.append(
+ modules.TransformerCouplingLayer(
+ channels,
+ hidden_channels,
+ kernel_size,
+ n_layers,
+ n_heads,
+ p_dropout,
+ filter_channels,
+ mean_only=True,
+ wn_sharing_parameter=self.wn,
+ gin_channels=self.gin_channels,
+ )
+ )
+ self.flows.append(modules.Flip())
+
+ def forward(self, x, x_mask, g=None, reverse=False):
+ if not reverse:
+ for flow in self.flows:
+ x, _ = flow(x, x_mask, g=g, reverse=reverse)
+ else:
+ for flow in reversed(self.flows):
+ x = flow(x, x_mask, g=g, reverse=reverse)
+ return x
+
+
+class StochasticDurationPredictor(nn.Module):
+ def __init__(
+ self,
+ in_channels,
+ filter_channels,
+ kernel_size,
+ p_dropout,
+ n_flows=4,
+ gin_channels=0,
+ ):
+ super().__init__()
+ filter_channels = in_channels # it needs to be removed from future version.
+ self.in_channels = in_channels
+ self.filter_channels = filter_channels
+ self.kernel_size = kernel_size
+ self.p_dropout = p_dropout
+ self.n_flows = n_flows
+ self.gin_channels = gin_channels
+
+ self.log_flow = modules.Log()
+ self.flows = nn.ModuleList()
+ self.flows.append(modules.ElementwiseAffine(2))
+ for i in range(n_flows):
+ self.flows.append(
+ modules.ConvFlow(2, filter_channels, kernel_size, n_layers=3)
+ )
+ self.flows.append(modules.Flip())
+
+ self.post_pre = nn.Conv1d(1, filter_channels, 1)
+ self.post_proj = nn.Conv1d(filter_channels, filter_channels, 1)
+ self.post_convs = modules.DDSConv(
+ filter_channels, kernel_size, n_layers=3, p_dropout=p_dropout
+ )
+ self.post_flows = nn.ModuleList()
+ self.post_flows.append(modules.ElementwiseAffine(2))
+ for i in range(4):
+ self.post_flows.append(
+ modules.ConvFlow(2, filter_channels, kernel_size, n_layers=3)
+ )
+ self.post_flows.append(modules.Flip())
+
+ self.pre = nn.Conv1d(in_channels, filter_channels, 1)
+ self.proj = nn.Conv1d(filter_channels, filter_channels, 1)
+ self.convs = modules.DDSConv(
+ filter_channels, kernel_size, n_layers=3, p_dropout=p_dropout
+ )
+ if gin_channels != 0:
+ self.cond = nn.Conv1d(gin_channels, filter_channels, 1)
+
+ def forward(self, x, x_mask, w=None, g=None, reverse=False, noise_scale=1.0):
+ x = torch.detach(x)
+ x = self.pre(x)
+ if g is not None:
+ g = torch.detach(g)
+ x = x + self.cond(g)
+ x = self.convs(x, x_mask)
+ x = self.proj(x) * x_mask
+
+ if not reverse:
+ flows = self.flows
+ assert w is not None
+
+ logdet_tot_q = 0
+ h_w = self.post_pre(w)
+ h_w = self.post_convs(h_w, x_mask)
+ h_w = self.post_proj(h_w) * x_mask
+ e_q = (
+ torch.randn(w.size(0), 2, w.size(2)).to(device=x.device, dtype=x.dtype)
+ * x_mask
+ )
+ z_q = e_q
+ for flow in self.post_flows:
+ z_q, logdet_q = flow(z_q, x_mask, g=(x + h_w))
+ logdet_tot_q += logdet_q
+ z_u, z1 = torch.split(z_q, [1, 1], 1)
+ u = torch.sigmoid(z_u) * x_mask
+ z0 = (w - u) * x_mask
+ logdet_tot_q += torch.sum(
+ (F.logsigmoid(z_u) + F.logsigmoid(-z_u)) * x_mask, [1, 2]
+ )
+ logq = (
+ torch.sum(-0.5 * (math.log(2 * math.pi) + (e_q ** 2)) * x_mask, [1, 2])
+ - logdet_tot_q
+ )
+
+ logdet_tot = 0
+ z0, logdet = self.log_flow(z0, x_mask)
+ logdet_tot += logdet
+ z = torch.cat([z0, z1], 1)
+ for flow in flows:
+ z, logdet = flow(z, x_mask, g=x, reverse=reverse)
+ logdet_tot = logdet_tot + logdet
+ nll = (
+ torch.sum(0.5 * (math.log(2 * math.pi) + (z ** 2)) * x_mask, [1, 2])
+ - logdet_tot
+ )
+ return nll + logq # [b]
+ else:
+ flows = list(reversed(self.flows))
+ flows = flows[:-2] + [flows[-1]] # remove a useless vflow
+ z = (
+ torch.randn(x.size(0), 2, x.size(2)).to(device=x.device, dtype=x.dtype)
+ * noise_scale
+ )
+ for flow in flows:
+ z = flow(z, x_mask, g=x, reverse=reverse)
+ z0, z1 = torch.split(z, [1, 1], 1)
+ logw = z0
+ return logw
+
+
+class DurationPredictor(nn.Module):
+ def __init__(
+ self, in_channels, filter_channels, kernel_size, p_dropout, gin_channels=0
+ ):
+ super().__init__()
+
+ self.in_channels = in_channels
+ self.filter_channels = filter_channels
+ self.kernel_size = kernel_size
+ self.p_dropout = p_dropout
+ self.gin_channels = gin_channels
+
+ self.drop = nn.Dropout(p_dropout)
+ self.conv_1 = nn.Conv1d(
+ in_channels, filter_channels, kernel_size, padding=kernel_size // 2
+ )
+ self.norm_1 = modules.LayerNorm(filter_channels)
+ self.conv_2 = nn.Conv1d(
+ filter_channels, filter_channels, kernel_size, padding=kernel_size // 2
+ )
+ self.norm_2 = modules.LayerNorm(filter_channels)
+ self.proj = nn.Conv1d(filter_channels, 1, 1)
+
+ if gin_channels != 0:
+ self.cond = nn.Conv1d(gin_channels, in_channels, 1)
+
+ def forward(self, x, x_mask, g=None):
+ x = torch.detach(x)
+ if g is not None:
+ g = torch.detach(g)
+ x = x + self.cond(g)
+ x = self.conv_1(x * x_mask)
+ x = torch.relu(x)
+ x = self.norm_1(x)
+ x = self.drop(x)
+ x = self.conv_2(x * x_mask)
+ x = torch.relu(x)
+ x = self.norm_2(x)
+ x = self.drop(x)
+ x = self.proj(x * x_mask)
+ return x * x_mask
+
+
+class Bottleneck(nn.Sequential):
+ def __init__(self, in_dim, hidden_dim):
+ c_fc1 = nn.Linear(in_dim, hidden_dim, bias=False)
+ c_fc2 = nn.Linear(in_dim, hidden_dim, bias=False)
+ super().__init__(*[c_fc1, c_fc2])
+
+
+class Block(nn.Module):
+ def __init__(self, in_dim, hidden_dim) -> None:
+ super().__init__()
+ self.norm = nn.LayerNorm(in_dim)
+ self.mlp = MLP(in_dim, hidden_dim)
+
+ def forward(self, x: torch.Tensor) -> torch.Tensor:
+ x = x + self.mlp(self.norm(x))
+ return x
+
+
+class MLP(nn.Module):
+ def __init__(self, in_dim, hidden_dim):
+ super().__init__()
+ self.c_fc1 = nn.Linear(in_dim, hidden_dim, bias=False)
+ self.c_fc2 = nn.Linear(in_dim, hidden_dim, bias=False)
+ self.c_proj = nn.Linear(hidden_dim, in_dim, bias=False)
+
+ def forward(self, x: torch.Tensor):
+ x = F.silu(self.c_fc1(x)) * self.c_fc2(x)
+ x = self.c_proj(x)
+ return x
+
+
+class TextEncoder(nn.Module):
+ def __init__(
+ self,
+ n_vocab,
+ out_channels,
+ hidden_channels,
+ filter_channels,
+ n_heads,
+ n_layers,
+ kernel_size,
+ p_dropout,
+ gin_channels=0,
+ ):
+ super().__init__()
+ self.n_vocab = n_vocab
+ self.out_channels = out_channels
+ self.hidden_channels = hidden_channels
+ self.filter_channels = filter_channels
+ self.n_heads = n_heads
+ self.n_layers = n_layers
+ self.kernel_size = kernel_size
+ self.p_dropout = p_dropout
+ self.gin_channels = gin_channels
+ self.emb = nn.Embedding(len(symbols), hidden_channels)
+ nn.init.normal_(self.emb.weight, 0.0, hidden_channels ** -0.5)
+ self.tone_emb = nn.Embedding(num_tones, hidden_channels)
+ nn.init.normal_(self.tone_emb.weight, 0.0, hidden_channels ** -0.5)
+ self.language_emb = nn.Embedding(num_languages, hidden_channels)
+ nn.init.normal_(self.language_emb.weight, 0.0, hidden_channels ** -0.5)
+ self.bert_proj = nn.Conv1d(1024, hidden_channels, 1)
+ # self.bert_pre_proj = nn.Conv1d(2048, 1024, 1)
+ # self.en_bert_proj = nn.Conv1d(1024, hidden_channels, 1)
+ self.in_feature_net = nn.Sequential(
+ # input is assumed to an already normalized embedding
+ nn.Linear(512, 1028, bias=False),
+ nn.GELU(),
+ nn.LayerNorm(1028),
+ *[Block(1028, 512) for _ in range(1)],
+ nn.Linear(1028, 512, bias=False),
+ # normalize before passing to VQ?
+ # nn.GELU(),
+ # nn.LayerNorm(512),
+ )
+ self.emo_vq = VectorQuantize(
+ dim=512,
+ # codebook_size=128,
+ codebook_size=256,
+ codebook_dim=16,
+ # codebook_dim=32,
+ commitment_weight=0.1,
+ decay=0.99,
+ heads=32,
+ kmeans_iters=20,
+ separate_codebook_per_head=True,
+ stochastic_sample_codes=True,
+ threshold_ema_dead_code=2,
+ use_cosine_sim=True,
+ )
+ self.out_feature_net = nn.Linear(512, hidden_channels)
+
+ self.encoder = attentions.Encoder(
+ hidden_channels,
+ filter_channels,
+ n_heads,
+ n_layers,
+ kernel_size,
+ p_dropout,
+ gin_channels=self.gin_channels,
+ )
+ self.proj = nn.Conv1d(hidden_channels, out_channels * 2, 1)
+
+ def forward(self, x, x_lengths, tone, language, bert, emo, g=None):
+ bert_emb = self.bert_proj(bert).transpose(1, 2)
+ # en_bert_emb = self.en_bert_proj(en_bert).transpose(1, 2)
+ emo_emb = self.in_feature_net(emo)
+ emo_emb, _, loss_commit = self.emo_vq(emo_emb.unsqueeze(1))
+ loss_commit = loss_commit.mean()
+ emo_emb = self.out_feature_net(emo_emb)
+ x = (
+ self.emb(x)
+ + self.tone_emb(tone)
+ + self.language_emb(language)
+ + bert_emb
+ # + en_bert_emb
+ + emo_emb
+ ) * math.sqrt(
+ self.hidden_channels
+ ) # [b, t, h]
+ x = torch.transpose(x, 1, -1) # [b, h, t]
+ x_mask = torch.unsqueeze(commons.sequence_mask(x_lengths, x.size(2)), 1).to(
+ x.dtype
+ )
+
+ x = self.encoder(x * x_mask, x_mask, g=g)
+ stats = self.proj(x) * x_mask
+
+ m, logs = torch.split(stats, self.out_channels, dim=1)
+ return x, m, logs, x_mask, loss_commit
+
+
+class ResidualCouplingBlock(nn.Module):
+ def __init__(
+ self,
+ channels,
+ hidden_channels,
+ kernel_size,
+ dilation_rate,
+ n_layers,
+ n_flows=4,
+ gin_channels=0,
+ ):
+ super().__init__()
+ self.channels = channels
+ self.hidden_channels = hidden_channels
+ self.kernel_size = kernel_size
+ self.dilation_rate = dilation_rate
+ self.n_layers = n_layers
+ self.n_flows = n_flows
+ self.gin_channels = gin_channels
+
+ self.flows = nn.ModuleList()
+ for i in range(n_flows):
+ self.flows.append(
+ modules.ResidualCouplingLayer(
+ channels,
+ hidden_channels,
+ kernel_size,
+ dilation_rate,
+ n_layers,
+ gin_channels=gin_channels,
+ mean_only=True,
+ )
+ )
+ self.flows.append(modules.Flip())
+
+ def forward(self, x, x_mask, g=None, reverse=False):
+ if not reverse:
+ for flow in self.flows:
+ x, _ = flow(x, x_mask, g=g, reverse=reverse)
+ else:
+ for flow in reversed(self.flows):
+ x = flow(x, x_mask, g=g, reverse=reverse)
+ return x
+
+
+class PosteriorEncoder(nn.Module):
+ def __init__(
+ self,
+ in_channels,
+ out_channels,
+ hidden_channels,
+ kernel_size,
+ dilation_rate,
+ n_layers,
+ gin_channels=0,
+ ):
+ super().__init__()
+ self.in_channels = in_channels
+ self.out_channels = out_channels
+ self.hidden_channels = hidden_channels
+ self.kernel_size = kernel_size
+ self.dilation_rate = dilation_rate
+ self.n_layers = n_layers
+ self.gin_channels = gin_channels
+
+ self.pre = nn.Conv1d(in_channels, hidden_channels, 1)
+ self.enc = modules.WN(
+ hidden_channels,
+ kernel_size,
+ dilation_rate,
+ n_layers,
+ gin_channels=gin_channels,
+ )
+ self.proj = nn.Conv1d(hidden_channels, out_channels * 2, 1)
+
+ def forward(self, x, x_lengths, g=None):
+ x_mask = torch.unsqueeze(commons.sequence_mask(x_lengths, x.size(2)), 1).to(
+ x.dtype
+ )
+ x = self.pre(x) * x_mask
+ x = self.enc(x, x_mask, g=g)
+ stats = self.proj(x) * x_mask
+ m, logs = torch.split(stats, self.out_channels, dim=1)
+ z = (m + torch.randn_like(m) * torch.exp(logs)) * x_mask
+ return z, m, logs, x_mask
+
+
+class Generator(torch.nn.Module):
+ def __init__(
+ self,
+ initial_channel,
+ resblock,
+ resblock_kernel_sizes,
+ resblock_dilation_sizes,
+ upsample_rates,
+ upsample_initial_channel,
+ upsample_kernel_sizes,
+ gin_channels=0,
+ ):
+ super(Generator, self).__init__()
+ self.num_kernels = len(resblock_kernel_sizes)
+ self.num_upsamples = len(upsample_rates)
+ self.conv_pre = Conv1d(
+ initial_channel, upsample_initial_channel, 7, 1, padding=3
+ )
+ resblock = modules.ResBlock1 if resblock == "1" else modules.ResBlock2
+
+ self.ups = nn.ModuleList()
+ for i, (u, k) in enumerate(zip(upsample_rates, upsample_kernel_sizes)):
+ self.ups.append(
+ weight_norm(
+ ConvTranspose1d(
+ upsample_initial_channel // (2 ** i),
+ upsample_initial_channel // (2 ** (i + 1)),
+ k,
+ u,
+ padding=(k - u) // 2,
+ )
+ )
+ )
+
+ self.resblocks = nn.ModuleList()
+ for i in range(len(self.ups)):
+ ch = upsample_initial_channel // (2 ** (i + 1))
+ for j, (k, d) in enumerate(
+ zip(resblock_kernel_sizes, resblock_dilation_sizes)
+ ):
+ self.resblocks.append(resblock(ch, k, d))
+
+ self.conv_post = Conv1d(ch, 1, 7, 1, padding=3, bias=False)
+ self.ups.apply(init_weights)
+
+ if gin_channels != 0:
+ self.cond = nn.Conv1d(gin_channels, upsample_initial_channel, 1)
+
+ def forward(self, x, g=None):
+ x = self.conv_pre(x)
+ if g is not None:
+ x = x + self.cond(g)
+
+ for i in range(self.num_upsamples):
+ x = F.leaky_relu(x, modules.LRELU_SLOPE)
+ x = self.ups[i](x)
+ xs = None
+ for j in range(self.num_kernels):
+ if xs is None:
+ xs = self.resblocks[i * self.num_kernels + j](x)
+ else:
+ xs += self.resblocks[i * self.num_kernels + j](x)
+ x = xs / self.num_kernels
+ x = F.leaky_relu(x)
+ x = self.conv_post(x)
+ x = torch.tanh(x)
+
+ return x
+
+ def remove_weight_norm(self):
+ print("Removing weight norm...")
+ for layer in self.ups:
+ remove_weight_norm(layer)
+ for layer in self.resblocks:
+ layer.remove_weight_norm()
+
+
+class DiscriminatorP(torch.nn.Module):
+ def __init__(self, period, kernel_size=5, stride=3, use_spectral_norm=False):
+ super(DiscriminatorP, self).__init__()
+ self.period = period
+ self.use_spectral_norm = use_spectral_norm
+ norm_f = weight_norm if use_spectral_norm is False else spectral_norm
+ self.convs = nn.ModuleList(
+ [
+ norm_f(
+ Conv2d(
+ 1,
+ 32,
+ (kernel_size, 1),
+ (stride, 1),
+ padding=(get_padding(kernel_size, 1), 0),
+ )
+ ),
+ norm_f(
+ Conv2d(
+ 32,
+ 128,
+ (kernel_size, 1),
+ (stride, 1),
+ padding=(get_padding(kernel_size, 1), 0),
+ )
+ ),
+ norm_f(
+ Conv2d(
+ 128,
+ 512,
+ (kernel_size, 1),
+ (stride, 1),
+ padding=(get_padding(kernel_size, 1), 0),
+ )
+ ),
+ norm_f(
+ Conv2d(
+ 512,
+ 1024,
+ (kernel_size, 1),
+ (stride, 1),
+ padding=(get_padding(kernel_size, 1), 0),
+ )
+ ),
+ norm_f(
+ Conv2d(
+ 1024,
+ 1024,
+ (kernel_size, 1),
+ 1,
+ padding=(get_padding(kernel_size, 1), 0),
+ )
+ ),
+ ]
+ )
+ self.conv_post = norm_f(Conv2d(1024, 1, (3, 1), 1, padding=(1, 0)))
+
+ def forward(self, x):
+ fmap = []
+
+ # 1d to 2d
+ b, c, t = x.shape
+ if t % self.period != 0: # pad first
+ n_pad = self.period - (t % self.period)
+ x = F.pad(x, (0, n_pad), "reflect")
+ t = t + n_pad
+ x = x.view(b, c, t // self.period, self.period)
+
+ for layer in self.convs:
+ x = layer(x)
+ x = F.leaky_relu(x, modules.LRELU_SLOPE)
+ fmap.append(x)
+ x = self.conv_post(x)
+ fmap.append(x)
+ x = torch.flatten(x, 1, -1)
+
+ return x, fmap
+
+
+class DiscriminatorS(torch.nn.Module):
+ def __init__(self, use_spectral_norm=False):
+ super(DiscriminatorS, self).__init__()
+ norm_f = weight_norm if use_spectral_norm is False else spectral_norm
+ self.convs = nn.ModuleList(
+ [
+ norm_f(Conv1d(1, 16, 15, 1, padding=7)),
+ norm_f(Conv1d(16, 64, 41, 4, groups=4, padding=20)),
+ norm_f(Conv1d(64, 256, 41, 4, groups=16, padding=20)),
+ norm_f(Conv1d(256, 1024, 41, 4, groups=64, padding=20)),
+ norm_f(Conv1d(1024, 1024, 41, 4, groups=256, padding=20)),
+ norm_f(Conv1d(1024, 1024, 5, 1, padding=2)),
+ ]
+ )
+ self.conv_post = norm_f(Conv1d(1024, 1, 3, 1, padding=1))
+
+ def forward(self, x):
+ fmap = []
+
+ for layer in self.convs:
+ x = layer(x)
+ x = F.leaky_relu(x, modules.LRELU_SLOPE)
+ fmap.append(x)
+ x = self.conv_post(x)
+ fmap.append(x)
+ x = torch.flatten(x, 1, -1)
+
+ return x, fmap
+
+
+class MultiPeriodDiscriminator(torch.nn.Module):
+ def __init__(self, use_spectral_norm=False):
+ super(MultiPeriodDiscriminator, self).__init__()
+ periods = [2, 3, 5, 7, 11]
+
+ discs = [DiscriminatorS(use_spectral_norm=use_spectral_norm)]
+ discs = discs + [
+ DiscriminatorP(i, use_spectral_norm=use_spectral_norm) for i in periods
+ ]
+ self.discriminators = nn.ModuleList(discs)
+
+ def forward(self, y, y_hat):
+ y_d_rs = []
+ y_d_gs = []
+ fmap_rs = []
+ fmap_gs = []
+ for i, d in enumerate(self.discriminators):
+ y_d_r, fmap_r = d(y)
+ y_d_g, fmap_g = d(y_hat)
+ y_d_rs.append(y_d_r)
+ y_d_gs.append(y_d_g)
+ fmap_rs.append(fmap_r)
+ fmap_gs.append(fmap_g)
+
+ return y_d_rs, y_d_gs, fmap_rs, fmap_gs
+
+
+class WavLMDiscriminator(nn.Module):
+ """docstring for Discriminator."""
+
+ def __init__(
+ self, slm_hidden=768, slm_layers=13, initial_channel=64, use_spectral_norm=False
+ ):
+ super(WavLMDiscriminator, self).__init__()
+ norm_f = weight_norm if use_spectral_norm == False else spectral_norm
+ self.pre = norm_f(
+ Conv1d(slm_hidden * slm_layers, initial_channel, 1, 1, padding=0)
+ )
+
+ self.convs = nn.ModuleList(
+ [
+ norm_f(
+ nn.Conv1d(
+ initial_channel, initial_channel * 2, kernel_size=5, padding=2
+ )
+ ),
+ norm_f(
+ nn.Conv1d(
+ initial_channel * 2,
+ initial_channel * 4,
+ kernel_size=5,
+ padding=2,
+ )
+ ),
+ norm_f(
+ nn.Conv1d(initial_channel * 4, initial_channel * 4, 5, 1, padding=2)
+ ),
+ ]
+ )
+
+ self.conv_post = norm_f(Conv1d(initial_channel * 4, 1, 3, 1, padding=1))
+
+ def forward(self, x):
+ x = self.pre(x)
+
+ fmap = []
+ for l in self.convs:
+ x = l(x)
+ x = F.leaky_relu(x, modules.LRELU_SLOPE)
+ fmap.append(x)
+ x = self.conv_post(x)
+ x = torch.flatten(x, 1, -1)
+
+ return x
+
+
+class ReferenceEncoder(nn.Module):
+ """
+ inputs --- [N, Ty/r, n_mels*r] mels
+ outputs --- [N, ref_enc_gru_size]
+ """
+
+ def __init__(self, spec_channels, gin_channels=0):
+ super().__init__()
+ self.spec_channels = spec_channels
+ ref_enc_filters = [32, 32, 64, 64, 128, 128]
+ K = len(ref_enc_filters)
+ filters = [1] + ref_enc_filters
+ convs = [
+ weight_norm(
+ nn.Conv2d(
+ in_channels=filters[i],
+ out_channels=filters[i + 1],
+ kernel_size=(3, 3),
+ stride=(2, 2),
+ padding=(1, 1),
+ )
+ )
+ for i in range(K)
+ ]
+ self.convs = nn.ModuleList(convs)
+ # self.wns = nn.ModuleList([weight_norm(num_features=ref_enc_filters[i]) for i in range(K)]) # noqa: E501
+
+ out_channels = self.calculate_channels(spec_channels, 3, 2, 1, K)
+ self.gru = nn.GRU(
+ input_size=ref_enc_filters[-1] * out_channels,
+ hidden_size=256 // 2,
+ batch_first=True,
+ )
+ self.proj = nn.Linear(128, gin_channels)
+
+ def forward(self, inputs, mask=None):
+ N = inputs.size(0)
+ out = inputs.view(N, 1, -1, self.spec_channels) # [N, 1, Ty, n_freqs]
+ for conv in self.convs:
+ out = conv(out)
+ # out = wn(out)
+ out = F.relu(out) # [N, 128, Ty//2^K, n_mels//2^K]
+
+ out = out.transpose(1, 2) # [N, Ty//2^K, 128, n_mels//2^K]
+ T = out.size(1)
+ N = out.size(0)
+ out = out.contiguous().view(N, T, -1) # [N, Ty//2^K, 128*n_mels//2^K]
+
+ self.gru.flatten_parameters()
+ memory, out = self.gru(out) # out --- [1, N, 128]
+
+ return self.proj(out.squeeze(0))
+
+ def calculate_channels(self, L, kernel_size, stride, pad, n_convs):
+ for i in range(n_convs):
+ L = (L - kernel_size + 2 * pad) // stride + 1
+ return L
+
+
+class SynthesizerTrn(nn.Module):
+ """
+ Synthesizer for Training
+ """
+
+ def __init__(
+ self,
+ n_vocab,
+ spec_channels,
+ segment_size,
+ inter_channels,
+ hidden_channels,
+ filter_channels,
+ n_heads,
+ n_layers,
+ kernel_size,
+ p_dropout,
+ resblock,
+ resblock_kernel_sizes,
+ resblock_dilation_sizes,
+ upsample_rates,
+ upsample_initial_channel,
+ upsample_kernel_sizes,
+ n_speakers=256,
+ gin_channels=256,
+ use_sdp=True,
+ n_flow_layer=4,
+ n_layers_trans_flow=6,
+ flow_share_parameter=False,
+ use_transformer_flow=True,
+ **kwargs
+ ):
+ super().__init__()
+ self.n_vocab = n_vocab
+ self.spec_channels = spec_channels
+ self.inter_channels = inter_channels
+ self.hidden_channels = hidden_channels
+ self.filter_channels = filter_channels
+ self.n_heads = n_heads
+ self.n_layers = n_layers
+ self.kernel_size = kernel_size
+ self.p_dropout = p_dropout
+ self.resblock = resblock
+ self.resblock_kernel_sizes = resblock_kernel_sizes
+ self.resblock_dilation_sizes = resblock_dilation_sizes
+ self.upsample_rates = upsample_rates
+ self.upsample_initial_channel = upsample_initial_channel
+ self.upsample_kernel_sizes = upsample_kernel_sizes
+ self.segment_size = segment_size
+ self.n_speakers = n_speakers
+ self.gin_channels = gin_channels
+ self.n_layers_trans_flow = n_layers_trans_flow
+ self.use_spk_conditioned_encoder = kwargs.get(
+ "use_spk_conditioned_encoder", True
+ )
+ self.use_sdp = use_sdp
+ self.use_noise_scaled_mas = kwargs.get("use_noise_scaled_mas", False)
+ self.mas_noise_scale_initial = kwargs.get("mas_noise_scale_initial", 0.01)
+ self.noise_scale_delta = kwargs.get("noise_scale_delta", 2e-6)
+ self.current_mas_noise_scale = self.mas_noise_scale_initial
+ if self.use_spk_conditioned_encoder and gin_channels > 0:
+ self.enc_gin_channels = gin_channels
+ self.enc_p = TextEncoder(
+ n_vocab,
+ inter_channels,
+ hidden_channels,
+ filter_channels,
+ n_heads,
+ n_layers,
+ kernel_size,
+ p_dropout,
+ gin_channels=self.enc_gin_channels,
+ )
+ self.dec = Generator(
+ inter_channels,
+ resblock,
+ resblock_kernel_sizes,
+ resblock_dilation_sizes,
+ upsample_rates,
+ upsample_initial_channel,
+ upsample_kernel_sizes,
+ gin_channels=gin_channels,
+ )
+ self.enc_q = PosteriorEncoder(
+ spec_channels,
+ inter_channels,
+ hidden_channels,
+ 5,
+ 1,
+ 16,
+ gin_channels=gin_channels,
+ )
+ if use_transformer_flow:
+ self.flow = TransformerCouplingBlock(
+ inter_channels,
+ hidden_channels,
+ filter_channels,
+ n_heads,
+ n_layers_trans_flow,
+ 5,
+ p_dropout,
+ n_flow_layer,
+ gin_channels=gin_channels,
+ share_parameter=flow_share_parameter,
+ )
+ else:
+ self.flow = ResidualCouplingBlock(
+ inter_channels,
+ hidden_channels,
+ 5,
+ 1,
+ n_flow_layer,
+ gin_channels=gin_channels,
+ )
+ self.sdp = StochasticDurationPredictor(
+ hidden_channels, 192, 3, 0.5, 4, gin_channels=gin_channels
+ )
+ self.dp = DurationPredictor(
+ hidden_channels, 256, 3, 0.5, gin_channels=gin_channels
+ )
+
+ if n_speakers >= 1:
+ self.emb_g = nn.Embedding(n_speakers, gin_channels)
+ else:
+ self.ref_enc = ReferenceEncoder(spec_channels, gin_channels)
+
+ def infer(
+ self,
+ x,
+ x_lengths,
+ sid,
+ tone,
+ language,
+ ja_bert,
+ emo,
+ noise_scale=0.667,
+ length_scale=1,
+ noise_scale_w=0.8,
+ max_len=None,
+ sdp_ratio=0,
+ y=None,
+ **kwargs
+ ):
+ # x, m_p, logs_p, x_mask = self.enc_p(x, x_lengths, tone, language, ja_bert)
+ # g = self.gst(y)
+ if self.n_speakers > 0:
+ g = self.emb_g(sid).unsqueeze(-1) # [b, h, 1]
+ else:
+ g = self.ref_enc(y.transpose(1, 2)).unsqueeze(-1)
+ x, m_p, logs_p, x_mask, _ = self.enc_p(
+ x, x_lengths, tone, language, ja_bert, emo, g=g
+ )
+ logw = self.sdp(x, x_mask, g=g, reverse=True, noise_scale=noise_scale_w) * (
+ sdp_ratio
+ ) + self.dp(x, x_mask, g=g) * (1 - sdp_ratio)
+ w = torch.exp(logw) * x_mask * length_scale
+ w_ceil = torch.ceil(w)
+ y_lengths = torch.clamp_min(torch.sum(w_ceil, [1, 2]), 1).long()
+ y_mask = torch.unsqueeze(commons.sequence_mask(y_lengths, None), 1).to(
+ x_mask.dtype
+ )
+ attn_mask = torch.unsqueeze(x_mask, 2) * torch.unsqueeze(y_mask, -1)
+ attn = commons.generate_path(w_ceil, attn_mask)
+
+ m_p = torch.matmul(attn.squeeze(1), m_p.transpose(1, 2)).transpose(
+ 1, 2
+ ) # [b, t', t], [b, t, d] -> [b, d, t']
+ logs_p = torch.matmul(attn.squeeze(1), logs_p.transpose(1, 2)).transpose(
+ 1, 2
+ ) # [b, t', t], [b, t, d] -> [b, d, t']
+
+ z_p = m_p + torch.randn_like(m_p) * torch.exp(logs_p) * noise_scale
+ z = self.flow(z_p, y_mask, g=g, reverse=True)
+ o = self.dec((z * y_mask)[:, :, :max_len], g=g)
+ return o, attn, y_mask, (z, z_p, m_p, logs_p)
diff --git a/bert_vits2/models_v230.py b/bert_vits2/models_v230.py
new file mode 100644
index 0000000000000000000000000000000000000000..8496ea3d7ac51fce9d1ee085fcb07eeecd517a26
--- /dev/null
+++ b/bert_vits2/models_v230.py
@@ -0,0 +1,1019 @@
+import math
+import torch
+from torch import nn
+from torch.nn import functional as F
+from vector_quantize_pytorch import VectorQuantize
+
+from bert_vits2 import commons
+from bert_vits2 import modules
+from bert_vits2 import attentions
+
+from torch.nn import Conv1d, ConvTranspose1d, Conv2d
+from torch.nn.utils import weight_norm, remove_weight_norm, spectral_norm
+
+from bert_vits2.commons import init_weights, get_padding
+from bert_vits2.text import symbols, num_tones, num_languages
+
+
+class DurationDiscriminator(nn.Module): # vits2
+ def __init__(
+ self, in_channels, filter_channels, kernel_size, p_dropout, gin_channels=0
+ ):
+ super().__init__()
+
+ self.in_channels = in_channels
+ self.filter_channels = filter_channels
+ self.kernel_size = kernel_size
+ self.p_dropout = p_dropout
+ self.gin_channels = gin_channels
+
+ self.drop = nn.Dropout(p_dropout)
+ self.conv_1 = nn.Conv1d(
+ in_channels, filter_channels, kernel_size, padding=kernel_size // 2
+ )
+ self.norm_1 = modules.LayerNorm(filter_channels)
+ self.conv_2 = nn.Conv1d(
+ filter_channels, filter_channels, kernel_size, padding=kernel_size // 2
+ )
+ self.norm_2 = modules.LayerNorm(filter_channels)
+ self.dur_proj = nn.Conv1d(1, filter_channels, 1)
+
+ self.LSTM = nn.LSTM(
+ 2 * filter_channels, filter_channels, batch_first=True, bidirectional=True
+ )
+
+ if gin_channels != 0:
+ self.cond = nn.Conv1d(gin_channels, in_channels, 1)
+
+ self.output_layer = nn.Sequential(
+ nn.Linear(2 * filter_channels, 1), nn.Sigmoid()
+ )
+
+ def forward_probability(self, x, dur):
+ dur = self.dur_proj(dur)
+ x = torch.cat([x, dur], dim=1)
+ x = x.transpose(1, 2)
+ x, _ = self.LSTM(x)
+ output_prob = self.output_layer(x)
+ return output_prob
+
+ def forward(self, x, x_mask, dur_r, dur_hat, g=None):
+ x = torch.detach(x)
+ if g is not None:
+ g = torch.detach(g)
+ x = x + self.cond(g)
+ x = self.conv_1(x * x_mask)
+ x = torch.relu(x)
+ x = self.norm_1(x)
+ x = self.drop(x)
+ x = self.conv_2(x * x_mask)
+ x = torch.relu(x)
+ x = self.norm_2(x)
+ x = self.drop(x)
+
+ output_probs = []
+ for dur in [dur_r, dur_hat]:
+ output_prob = self.forward_probability(x, dur)
+ output_probs.append(output_prob)
+
+ return output_probs
+
+
+class TransformerCouplingBlock(nn.Module):
+ def __init__(
+ self,
+ channels,
+ hidden_channels,
+ filter_channels,
+ n_heads,
+ n_layers,
+ kernel_size,
+ p_dropout,
+ n_flows=4,
+ gin_channels=0,
+ share_parameter=False,
+ ):
+ super().__init__()
+ self.channels = channels
+ self.hidden_channels = hidden_channels
+ self.kernel_size = kernel_size
+ self.n_layers = n_layers
+ self.n_flows = n_flows
+ self.gin_channels = gin_channels
+
+ self.flows = nn.ModuleList()
+
+ self.wn = (
+ attentions.FFT(
+ hidden_channels,
+ filter_channels,
+ n_heads,
+ n_layers,
+ kernel_size,
+ p_dropout,
+ isflow=True,
+ gin_channels=self.gin_channels,
+ )
+ if share_parameter
+ else None
+ )
+
+ for i in range(n_flows):
+ self.flows.append(
+ modules.TransformerCouplingLayer(
+ channels,
+ hidden_channels,
+ kernel_size,
+ n_layers,
+ n_heads,
+ p_dropout,
+ filter_channels,
+ mean_only=True,
+ wn_sharing_parameter=self.wn,
+ gin_channels=self.gin_channels,
+ )
+ )
+ self.flows.append(modules.Flip())
+
+ def forward(self, x, x_mask, g=None, reverse=False):
+ if not reverse:
+ for flow in self.flows:
+ x, _ = flow(x, x_mask, g=g, reverse=reverse)
+ else:
+ for flow in reversed(self.flows):
+ x = flow(x, x_mask, g=g, reverse=reverse)
+ return x
+
+
+class StochasticDurationPredictor(nn.Module):
+ def __init__(
+ self,
+ in_channels,
+ filter_channels,
+ kernel_size,
+ p_dropout,
+ n_flows=4,
+ gin_channels=0,
+ ):
+ super().__init__()
+ filter_channels = in_channels # it needs to be removed from future version.
+ self.in_channels = in_channels
+ self.filter_channels = filter_channels
+ self.kernel_size = kernel_size
+ self.p_dropout = p_dropout
+ self.n_flows = n_flows
+ self.gin_channels = gin_channels
+
+ self.log_flow = modules.Log()
+ self.flows = nn.ModuleList()
+ self.flows.append(modules.ElementwiseAffine(2))
+ for i in range(n_flows):
+ self.flows.append(
+ modules.ConvFlow(2, filter_channels, kernel_size, n_layers=3)
+ )
+ self.flows.append(modules.Flip())
+
+ self.post_pre = nn.Conv1d(1, filter_channels, 1)
+ self.post_proj = nn.Conv1d(filter_channels, filter_channels, 1)
+ self.post_convs = modules.DDSConv(
+ filter_channels, kernel_size, n_layers=3, p_dropout=p_dropout
+ )
+ self.post_flows = nn.ModuleList()
+ self.post_flows.append(modules.ElementwiseAffine(2))
+ for i in range(4):
+ self.post_flows.append(
+ modules.ConvFlow(2, filter_channels, kernel_size, n_layers=3)
+ )
+ self.post_flows.append(modules.Flip())
+
+ self.pre = nn.Conv1d(in_channels, filter_channels, 1)
+ self.proj = nn.Conv1d(filter_channels, filter_channels, 1)
+ self.convs = modules.DDSConv(
+ filter_channels, kernel_size, n_layers=3, p_dropout=p_dropout
+ )
+ if gin_channels != 0:
+ self.cond = nn.Conv1d(gin_channels, filter_channels, 1)
+
+ def forward(self, x, x_mask, w=None, g=None, reverse=False, noise_scale=1.0):
+ x = torch.detach(x)
+ x = self.pre(x)
+ if g is not None:
+ g = torch.detach(g)
+ x = x + self.cond(g)
+ x = self.convs(x, x_mask)
+ x = self.proj(x) * x_mask
+
+ if not reverse:
+ flows = self.flows
+ assert w is not None
+
+ logdet_tot_q = 0
+ h_w = self.post_pre(w)
+ h_w = self.post_convs(h_w, x_mask)
+ h_w = self.post_proj(h_w) * x_mask
+ e_q = (
+ torch.randn(w.size(0), 2, w.size(2)).to(device=x.device, dtype=x.dtype)
+ * x_mask
+ )
+ z_q = e_q
+ for flow in self.post_flows:
+ z_q, logdet_q = flow(z_q, x_mask, g=(x + h_w))
+ logdet_tot_q += logdet_q
+ z_u, z1 = torch.split(z_q, [1, 1], 1)
+ u = torch.sigmoid(z_u) * x_mask
+ z0 = (w - u) * x_mask
+ logdet_tot_q += torch.sum(
+ (F.logsigmoid(z_u) + F.logsigmoid(-z_u)) * x_mask, [1, 2]
+ )
+ logq = (
+ torch.sum(-0.5 * (math.log(2 * math.pi) + (e_q ** 2)) * x_mask, [1, 2])
+ - logdet_tot_q
+ )
+
+ logdet_tot = 0
+ z0, logdet = self.log_flow(z0, x_mask)
+ logdet_tot += logdet
+ z = torch.cat([z0, z1], 1)
+ for flow in flows:
+ z, logdet = flow(z, x_mask, g=x, reverse=reverse)
+ logdet_tot = logdet_tot + logdet
+ nll = (
+ torch.sum(0.5 * (math.log(2 * math.pi) + (z ** 2)) * x_mask, [1, 2])
+ - logdet_tot
+ )
+ return nll + logq # [b]
+ else:
+ flows = list(reversed(self.flows))
+ flows = flows[:-2] + [flows[-1]] # remove a useless vflow
+ z = (
+ torch.randn(x.size(0), 2, x.size(2)).to(device=x.device, dtype=x.dtype)
+ * noise_scale
+ )
+ for flow in flows:
+ z = flow(z, x_mask, g=x, reverse=reverse)
+ z0, z1 = torch.split(z, [1, 1], 1)
+ logw = z0
+ return logw
+
+
+class DurationPredictor(nn.Module):
+ def __init__(
+ self, in_channels, filter_channels, kernel_size, p_dropout, gin_channels=0
+ ):
+ super().__init__()
+
+ self.in_channels = in_channels
+ self.filter_channels = filter_channels
+ self.kernel_size = kernel_size
+ self.p_dropout = p_dropout
+ self.gin_channels = gin_channels
+
+ self.drop = nn.Dropout(p_dropout)
+ self.conv_1 = nn.Conv1d(
+ in_channels, filter_channels, kernel_size, padding=kernel_size // 2
+ )
+ self.norm_1 = modules.LayerNorm(filter_channels)
+ self.conv_2 = nn.Conv1d(
+ filter_channels, filter_channels, kernel_size, padding=kernel_size // 2
+ )
+ self.norm_2 = modules.LayerNorm(filter_channels)
+ self.proj = nn.Conv1d(filter_channels, 1, 1)
+
+ if gin_channels != 0:
+ self.cond = nn.Conv1d(gin_channels, in_channels, 1)
+
+ def forward(self, x, x_mask, g=None):
+ x = torch.detach(x)
+ if g is not None:
+ g = torch.detach(g)
+ x = x + self.cond(g)
+ x = self.conv_1(x * x_mask)
+ x = torch.relu(x)
+ x = self.norm_1(x)
+ x = self.drop(x)
+ x = self.conv_2(x * x_mask)
+ x = torch.relu(x)
+ x = self.norm_2(x)
+ x = self.drop(x)
+ x = self.proj(x * x_mask)
+ return x * x_mask
+
+
+class Bottleneck(nn.Sequential):
+ def __init__(self, in_dim, hidden_dim):
+ c_fc1 = nn.Linear(in_dim, hidden_dim, bias=False)
+ c_fc2 = nn.Linear(in_dim, hidden_dim, bias=False)
+ super().__init__(*[c_fc1, c_fc2])
+
+
+class Block(nn.Module):
+ def __init__(self, in_dim, hidden_dim) -> None:
+ super().__init__()
+ self.norm = nn.LayerNorm(in_dim)
+ self.mlp = MLP(in_dim, hidden_dim)
+
+ def forward(self, x: torch.Tensor) -> torch.Tensor:
+ x = x + self.mlp(self.norm(x))
+ return x
+
+
+class MLP(nn.Module):
+ def __init__(self, in_dim, hidden_dim):
+ super().__init__()
+ self.c_fc1 = nn.Linear(in_dim, hidden_dim, bias=False)
+ self.c_fc2 = nn.Linear(in_dim, hidden_dim, bias=False)
+ self.c_proj = nn.Linear(hidden_dim, in_dim, bias=False)
+
+ def forward(self, x: torch.Tensor):
+ x = F.silu(self.c_fc1(x)) * self.c_fc2(x)
+ x = self.c_proj(x)
+ return x
+
+
+class TextEncoder(nn.Module):
+ def __init__(
+ self,
+ n_vocab,
+ out_channels,
+ hidden_channels,
+ filter_channels,
+ n_heads,
+ n_layers,
+ kernel_size,
+ p_dropout,
+ gin_channels=0,
+ zh_bert_extra=False,
+ ):
+ super().__init__()
+ self.n_vocab = n_vocab
+ self.out_channels = out_channels
+ self.hidden_channels = hidden_channels
+ self.filter_channels = filter_channels
+ self.n_heads = n_heads
+ self.n_layers = n_layers
+ self.kernel_size = kernel_size
+ self.p_dropout = p_dropout
+ self.gin_channels = gin_channels
+ self.emb = nn.Embedding(len(symbols), hidden_channels)
+ nn.init.normal_(self.emb.weight, 0.0, hidden_channels ** -0.5)
+ self.tone_emb = nn.Embedding(num_tones, hidden_channels)
+ nn.init.normal_(self.tone_emb.weight, 0.0, hidden_channels ** -0.5)
+ self.language_emb = nn.Embedding(num_languages, hidden_channels)
+ nn.init.normal_(self.language_emb.weight, 0.0, hidden_channels ** -0.5)
+ self.bert_proj = nn.Conv1d(1024, hidden_channels, 1)
+ self.zh_bert_extra = zh_bert_extra
+ if self.zh_bert_extra:
+ self.bert_pre_proj = nn.Conv1d(2048, 1024, 1)
+ self.in_feature_net = nn.Sequential(
+ # input is assumed to an already normalized embedding
+ nn.Linear(512, 1028, bias=False),
+ nn.GELU(),
+ nn.LayerNorm(1028),
+ *[Block(1028, 512) for _ in range(1)],
+ nn.Linear(1028, 512, bias=False),
+ # normalize before passing to VQ?
+ # nn.GELU(),
+ # nn.LayerNorm(512),
+ )
+ self.emo_vq = VectorQuantize(
+ dim=512,
+ codebook_size=64,
+ codebook_dim=32,
+ commitment_weight=0.1,
+ decay=0.85,
+ heads=32,
+ kmeans_iters=20,
+ separate_codebook_per_head=True,
+ stochastic_sample_codes=True,
+ threshold_ema_dead_code=2,
+ )
+ self.out_feature_net = nn.Linear(512, hidden_channels)
+ else:
+ self.ja_bert_proj = nn.Conv1d(1024, hidden_channels, 1)
+ self.en_bert_proj = nn.Conv1d(1024, hidden_channels, 1)
+
+ self.encoder = attentions.Encoder(
+ hidden_channels,
+ filter_channels,
+ n_heads,
+ n_layers,
+ kernel_size,
+ p_dropout,
+ gin_channels=self.gin_channels,
+ )
+ self.proj = nn.Conv1d(hidden_channels, out_channels * 2, 1)
+
+ def forward(self, x, x_lengths, tone, language, zh_bert, ja_bert, en_bert, emo=None, g=None):
+ x = self.emb(x) + self.tone_emb(tone) + self.language_emb(language)
+
+ if self.zh_bert_extra:
+ zh_bert = self.bert_pre_proj(zh_bert)
+ emo_emb = self.in_feature_net(emo)
+ emo_emb, _, _ = self.emo_vq(emo_emb.unsqueeze(1))
+ emo_emb = self.out_feature_net(emo_emb)
+ x += emo_emb
+ x += self.bert_proj(zh_bert).transpose(1, 2)
+ if not self.zh_bert_extra:
+ x += self.ja_bert_proj(ja_bert).transpose(1, 2)
+ x += self.en_bert_proj(en_bert).transpose(1, 2)
+
+ x *= math.sqrt(self.hidden_channels) # [b, t, h]
+ x = torch.transpose(x, 1, -1) # [b, h, t]
+ x_mask = torch.unsqueeze(commons.sequence_mask(x_lengths, x.size(2)), 1).to(
+ x.dtype
+ )
+
+ x = self.encoder(x * x_mask, x_mask, g=g)
+ stats = self.proj(x) * x_mask
+
+ m, logs = torch.split(stats, self.out_channels, dim=1)
+ return x, m, logs, x_mask
+
+
+class ResidualCouplingBlock(nn.Module):
+ def __init__(
+ self,
+ channels,
+ hidden_channels,
+ kernel_size,
+ dilation_rate,
+ n_layers,
+ n_flows=4,
+ gin_channels=0,
+ ):
+ super().__init__()
+ self.channels = channels
+ self.hidden_channels = hidden_channels
+ self.kernel_size = kernel_size
+ self.dilation_rate = dilation_rate
+ self.n_layers = n_layers
+ self.n_flows = n_flows
+ self.gin_channels = gin_channels
+
+ self.flows = nn.ModuleList()
+ for i in range(n_flows):
+ self.flows.append(
+ modules.ResidualCouplingLayer(
+ channels,
+ hidden_channels,
+ kernel_size,
+ dilation_rate,
+ n_layers,
+ gin_channels=gin_channels,
+ mean_only=True,
+ )
+ )
+ self.flows.append(modules.Flip())
+
+ def forward(self, x, x_mask, g=None, reverse=False):
+ if not reverse:
+ for flow in self.flows:
+ x, _ = flow(x, x_mask, g=g, reverse=reverse)
+ else:
+ for flow in reversed(self.flows):
+ x = flow(x, x_mask, g=g, reverse=reverse)
+ return x
+
+
+class PosteriorEncoder(nn.Module):
+ def __init__(
+ self,
+ in_channels,
+ out_channels,
+ hidden_channels,
+ kernel_size,
+ dilation_rate,
+ n_layers,
+ gin_channels=0,
+ ):
+ super().__init__()
+ self.in_channels = in_channels
+ self.out_channels = out_channels
+ self.hidden_channels = hidden_channels
+ self.kernel_size = kernel_size
+ self.dilation_rate = dilation_rate
+ self.n_layers = n_layers
+ self.gin_channels = gin_channels
+
+ self.pre = nn.Conv1d(in_channels, hidden_channels, 1)
+ self.enc = modules.WN(
+ hidden_channels,
+ kernel_size,
+ dilation_rate,
+ n_layers,
+ gin_channels=gin_channels,
+ )
+ self.proj = nn.Conv1d(hidden_channels, out_channels * 2, 1)
+
+ def forward(self, x, x_lengths, g=None):
+ x_mask = torch.unsqueeze(commons.sequence_mask(x_lengths, x.size(2)), 1).to(
+ x.dtype
+ )
+ x = self.pre(x) * x_mask
+ x = self.enc(x, x_mask, g=g)
+ stats = self.proj(x) * x_mask
+ m, logs = torch.split(stats, self.out_channels, dim=1)
+ z = (m + torch.randn_like(m) * torch.exp(logs)) * x_mask
+ return z, m, logs, x_mask
+
+
+class Generator(torch.nn.Module):
+ def __init__(
+ self,
+ initial_channel,
+ resblock,
+ resblock_kernel_sizes,
+ resblock_dilation_sizes,
+ upsample_rates,
+ upsample_initial_channel,
+ upsample_kernel_sizes,
+ gin_channels=0,
+ ):
+ super(Generator, self).__init__()
+ self.num_kernels = len(resblock_kernel_sizes)
+ self.num_upsamples = len(upsample_rates)
+ self.conv_pre = Conv1d(
+ initial_channel, upsample_initial_channel, 7, 1, padding=3
+ )
+ resblock = modules.ResBlock1 if resblock == "1" else modules.ResBlock2
+
+ self.ups = nn.ModuleList()
+ for i, (u, k) in enumerate(zip(upsample_rates, upsample_kernel_sizes)):
+ self.ups.append(
+ weight_norm(
+ ConvTranspose1d(
+ upsample_initial_channel // (2 ** i),
+ upsample_initial_channel // (2 ** (i + 1)),
+ k,
+ u,
+ padding=(k - u) // 2,
+ )
+ )
+ )
+
+ self.resblocks = nn.ModuleList()
+ for i in range(len(self.ups)):
+ ch = upsample_initial_channel // (2 ** (i + 1))
+ for j, (k, d) in enumerate(
+ zip(resblock_kernel_sizes, resblock_dilation_sizes)
+ ):
+ self.resblocks.append(resblock(ch, k, d))
+
+ self.conv_post = Conv1d(ch, 1, 7, 1, padding=3, bias=False)
+ self.ups.apply(init_weights)
+
+ if gin_channels != 0:
+ self.cond = nn.Conv1d(gin_channels, upsample_initial_channel, 1)
+
+ def forward(self, x, g=None):
+ x = self.conv_pre(x)
+ if g is not None:
+ x = x + self.cond(g)
+
+ for i in range(self.num_upsamples):
+ x = F.leaky_relu(x, modules.LRELU_SLOPE)
+ x = self.ups[i](x)
+ xs = None
+ for j in range(self.num_kernels):
+ if xs is None:
+ xs = self.resblocks[i * self.num_kernels + j](x)
+ else:
+ xs += self.resblocks[i * self.num_kernels + j](x)
+ x = xs / self.num_kernels
+ x = F.leaky_relu(x)
+ x = self.conv_post(x)
+ x = torch.tanh(x)
+
+ return x
+
+ def remove_weight_norm(self):
+ print("Removing weight norm...")
+ for layer in self.ups:
+ remove_weight_norm(layer)
+ for layer in self.resblocks:
+ layer.remove_weight_norm()
+
+
+class DiscriminatorP(torch.nn.Module):
+ def __init__(self, period, kernel_size=5, stride=3, use_spectral_norm=False):
+ super(DiscriminatorP, self).__init__()
+ self.period = period
+ self.use_spectral_norm = use_spectral_norm
+ norm_f = weight_norm if use_spectral_norm is False else spectral_norm
+ self.convs = nn.ModuleList(
+ [
+ norm_f(
+ Conv2d(
+ 1,
+ 32,
+ (kernel_size, 1),
+ (stride, 1),
+ padding=(get_padding(kernel_size, 1), 0),
+ )
+ ),
+ norm_f(
+ Conv2d(
+ 32,
+ 128,
+ (kernel_size, 1),
+ (stride, 1),
+ padding=(get_padding(kernel_size, 1), 0),
+ )
+ ),
+ norm_f(
+ Conv2d(
+ 128,
+ 512,
+ (kernel_size, 1),
+ (stride, 1),
+ padding=(get_padding(kernel_size, 1), 0),
+ )
+ ),
+ norm_f(
+ Conv2d(
+ 512,
+ 1024,
+ (kernel_size, 1),
+ (stride, 1),
+ padding=(get_padding(kernel_size, 1), 0),
+ )
+ ),
+ norm_f(
+ Conv2d(
+ 1024,
+ 1024,
+ (kernel_size, 1),
+ 1,
+ padding=(get_padding(kernel_size, 1), 0),
+ )
+ ),
+ ]
+ )
+ self.conv_post = norm_f(Conv2d(1024, 1, (3, 1), 1, padding=(1, 0)))
+
+ def forward(self, x):
+ fmap = []
+
+ # 1d to 2d
+ b, c, t = x.shape
+ if t % self.period != 0: # pad first
+ n_pad = self.period - (t % self.period)
+ x = F.pad(x, (0, n_pad), "reflect")
+ t = t + n_pad
+ x = x.view(b, c, t // self.period, self.period)
+
+ for layer in self.convs:
+ x = layer(x)
+ x = F.leaky_relu(x, modules.LRELU_SLOPE)
+ fmap.append(x)
+ x = self.conv_post(x)
+ fmap.append(x)
+ x = torch.flatten(x, 1, -1)
+
+ return x, fmap
+
+
+class DiscriminatorS(torch.nn.Module):
+ def __init__(self, use_spectral_norm=False):
+ super(DiscriminatorS, self).__init__()
+ norm_f = weight_norm if use_spectral_norm is False else spectral_norm
+ self.convs = nn.ModuleList(
+ [
+ norm_f(Conv1d(1, 16, 15, 1, padding=7)),
+ norm_f(Conv1d(16, 64, 41, 4, groups=4, padding=20)),
+ norm_f(Conv1d(64, 256, 41, 4, groups=16, padding=20)),
+ norm_f(Conv1d(256, 1024, 41, 4, groups=64, padding=20)),
+ norm_f(Conv1d(1024, 1024, 41, 4, groups=256, padding=20)),
+ norm_f(Conv1d(1024, 1024, 5, 1, padding=2)),
+ ]
+ )
+ self.conv_post = norm_f(Conv1d(1024, 1, 3, 1, padding=1))
+
+ def forward(self, x):
+ fmap = []
+
+ for layer in self.convs:
+ x = layer(x)
+ x = F.leaky_relu(x, modules.LRELU_SLOPE)
+ fmap.append(x)
+ x = self.conv_post(x)
+ fmap.append(x)
+ x = torch.flatten(x, 1, -1)
+
+ return x, fmap
+
+
+class MultiPeriodDiscriminator(torch.nn.Module):
+ def __init__(self, use_spectral_norm=False):
+ super(MultiPeriodDiscriminator, self).__init__()
+ periods = [2, 3, 5, 7, 11]
+
+ discs = [DiscriminatorS(use_spectral_norm=use_spectral_norm)]
+ discs = discs + [
+ DiscriminatorP(i, use_spectral_norm=use_spectral_norm) for i in periods
+ ]
+ self.discriminators = nn.ModuleList(discs)
+
+ def forward(self, y, y_hat):
+ y_d_rs = []
+ y_d_gs = []
+ fmap_rs = []
+ fmap_gs = []
+ for i, d in enumerate(self.discriminators):
+ y_d_r, fmap_r = d(y)
+ y_d_g, fmap_g = d(y_hat)
+ y_d_rs.append(y_d_r)
+ y_d_gs.append(y_d_g)
+ fmap_rs.append(fmap_r)
+ fmap_gs.append(fmap_g)
+
+ return y_d_rs, y_d_gs, fmap_rs, fmap_gs
+
+
+class WavLMDiscriminator(nn.Module):
+ """docstring for Discriminator."""
+
+ def __init__(
+ self, slm_hidden=768, slm_layers=13, initial_channel=64, use_spectral_norm=False
+ ):
+ super(WavLMDiscriminator, self).__init__()
+ norm_f = weight_norm if use_spectral_norm == False else spectral_norm
+ self.pre = norm_f(
+ Conv1d(slm_hidden * slm_layers, initial_channel, 1, 1, padding=0)
+ )
+
+ self.convs = nn.ModuleList(
+ [
+ norm_f(
+ nn.Conv1d(
+ initial_channel, initial_channel * 2, kernel_size=5, padding=2
+ )
+ ),
+ norm_f(
+ nn.Conv1d(
+ initial_channel * 2,
+ initial_channel * 4,
+ kernel_size=5,
+ padding=2,
+ )
+ ),
+ norm_f(
+ nn.Conv1d(initial_channel * 4, initial_channel * 4, 5, 1, padding=2)
+ ),
+ ]
+ )
+
+ self.conv_post = norm_f(Conv1d(initial_channel * 4, 1, 3, 1, padding=1))
+
+ def forward(self, x):
+ x = self.pre(x)
+
+ fmap = []
+ for l in self.convs:
+ x = l(x)
+ x = F.leaky_relu(x, modules.LRELU_SLOPE)
+ fmap.append(x)
+ x = self.conv_post(x)
+ x = torch.flatten(x, 1, -1)
+
+ return x
+
+
+class ReferenceEncoder(nn.Module):
+ """
+ inputs --- [N, Ty/r, n_mels*r] mels
+ outputs --- [N, ref_enc_gru_size]
+ """
+
+ def __init__(self, spec_channels, gin_channels=0):
+ super().__init__()
+ self.spec_channels = spec_channels
+ ref_enc_filters = [32, 32, 64, 64, 128, 128]
+ K = len(ref_enc_filters)
+ filters = [1] + ref_enc_filters
+ convs = [
+ weight_norm(
+ nn.Conv2d(
+ in_channels=filters[i],
+ out_channels=filters[i + 1],
+ kernel_size=(3, 3),
+ stride=(2, 2),
+ padding=(1, 1),
+ )
+ )
+ for i in range(K)
+ ]
+ self.convs = nn.ModuleList(convs)
+ # self.wns = nn.ModuleList([weight_norm(num_features=ref_enc_filters[i]) for i in range(K)]) # noqa: E501
+
+ out_channels = self.calculate_channels(spec_channels, 3, 2, 1, K)
+ self.gru = nn.GRU(
+ input_size=ref_enc_filters[-1] * out_channels,
+ hidden_size=256 // 2,
+ batch_first=True,
+ )
+ self.proj = nn.Linear(128, gin_channels)
+
+ def forward(self, inputs, mask=None):
+ N = inputs.size(0)
+ out = inputs.view(N, 1, -1, self.spec_channels) # [N, 1, Ty, n_freqs]
+ for conv in self.convs:
+ out = conv(out)
+ # out = wn(out)
+ out = F.relu(out) # [N, 128, Ty//2^K, n_mels//2^K]
+
+ out = out.transpose(1, 2) # [N, Ty//2^K, 128, n_mels//2^K]
+ T = out.size(1)
+ N = out.size(0)
+ out = out.contiguous().view(N, T, -1) # [N, Ty//2^K, 128*n_mels//2^K]
+
+ self.gru.flatten_parameters()
+ memory, out = self.gru(out) # out --- [1, N, 128]
+
+ return self.proj(out.squeeze(0))
+
+ def calculate_channels(self, L, kernel_size, stride, pad, n_convs):
+ for i in range(n_convs):
+ L = (L - kernel_size + 2 * pad) // stride + 1
+ return L
+
+
+class SynthesizerTrn(nn.Module):
+ """
+ Synthesizer for Training
+ """
+
+ def __init__(
+ self,
+ n_vocab,
+ spec_channels,
+ segment_size,
+ inter_channels,
+ hidden_channels,
+ filter_channels,
+ n_heads,
+ n_layers,
+ kernel_size,
+ p_dropout,
+ resblock,
+ resblock_kernel_sizes,
+ resblock_dilation_sizes,
+ upsample_rates,
+ upsample_initial_channel,
+ upsample_kernel_sizes,
+ n_speakers=256,
+ gin_channels=256,
+ use_sdp=True,
+ n_flow_layer=4,
+ n_layers_trans_flow=4,
+ flow_share_parameter=False,
+ use_transformer_flow=True,
+ zh_bert_extra=False,
+ **kwargs
+ ):
+ super().__init__()
+ self.n_vocab = n_vocab
+ self.spec_channels = spec_channels
+ self.inter_channels = inter_channels
+ self.hidden_channels = hidden_channels
+ self.filter_channels = filter_channels
+ self.n_heads = n_heads
+ self.n_layers = n_layers
+ self.kernel_size = kernel_size
+ self.p_dropout = p_dropout
+ self.resblock = resblock
+ self.resblock_kernel_sizes = resblock_kernel_sizes
+ self.resblock_dilation_sizes = resblock_dilation_sizes
+ self.upsample_rates = upsample_rates
+ self.upsample_initial_channel = upsample_initial_channel
+ self.upsample_kernel_sizes = upsample_kernel_sizes
+ self.segment_size = segment_size
+ self.n_speakers = n_speakers
+ self.gin_channels = gin_channels
+ self.n_layers_trans_flow = n_layers_trans_flow
+ self.use_spk_conditioned_encoder = kwargs.get(
+ "use_spk_conditioned_encoder", True
+ )
+ self.use_sdp = use_sdp
+ self.use_noise_scaled_mas = kwargs.get("use_noise_scaled_mas", False)
+ self.mas_noise_scale_initial = kwargs.get("mas_noise_scale_initial", 0.01)
+ self.noise_scale_delta = kwargs.get("noise_scale_delta", 2e-6)
+ self.current_mas_noise_scale = self.mas_noise_scale_initial
+ if self.use_spk_conditioned_encoder and gin_channels > 0:
+ self.enc_gin_channels = gin_channels
+ self.enc_p = TextEncoder(
+ n_vocab,
+ inter_channels,
+ hidden_channels,
+ filter_channels,
+ n_heads,
+ n_layers,
+ kernel_size,
+ p_dropout,
+ gin_channels=self.enc_gin_channels,
+ zh_bert_extra=zh_bert_extra,
+ )
+ self.dec = Generator(
+ inter_channels,
+ resblock,
+ resblock_kernel_sizes,
+ resblock_dilation_sizes,
+ upsample_rates,
+ upsample_initial_channel,
+ upsample_kernel_sizes,
+ gin_channels=gin_channels,
+ )
+ self.enc_q = PosteriorEncoder(
+ spec_channels,
+ inter_channels,
+ hidden_channels,
+ 5,
+ 1,
+ 16,
+ gin_channels=gin_channels,
+ )
+ if use_transformer_flow:
+ self.flow = TransformerCouplingBlock(
+ inter_channels,
+ hidden_channels,
+ filter_channels,
+ n_heads,
+ n_layers_trans_flow,
+ 5,
+ p_dropout,
+ n_flow_layer,
+ gin_channels=gin_channels,
+ share_parameter=flow_share_parameter,
+ )
+ else:
+ self.flow = ResidualCouplingBlock(
+ inter_channels,
+ hidden_channels,
+ 5,
+ 1,
+ n_flow_layer,
+ gin_channels=gin_channels,
+ )
+ self.sdp = StochasticDurationPredictor(
+ hidden_channels, 192, 3, 0.5, 4, gin_channels=gin_channels
+ )
+ self.dp = DurationPredictor(
+ hidden_channels, 256, 3, 0.5, gin_channels=gin_channels
+ )
+
+ if n_speakers >= 1:
+ self.emb_g = nn.Embedding(n_speakers, gin_channels)
+ else:
+ self.ref_enc = ReferenceEncoder(spec_channels, gin_channels)
+
+ def infer(
+ self,
+ x,
+ x_lengths,
+ sid,
+ tone,
+ language,
+ zh_bert,
+ ja_bert,
+ en_bert,
+ emo=None,
+ noise_scale=0.667,
+ length_scale=1,
+ noise_scale_w=0.8,
+ max_len=None,
+ sdp_ratio=0,
+ y=None,
+ **kwargs,
+ ):
+ # x, m_p, logs_p, x_mask = self.enc_p(x, x_lengths, tone, language, bert)
+ # g = self.gst(y)
+ if self.n_speakers > 0:
+ g = self.emb_g(sid).unsqueeze(-1) # [b, h, 1]
+ else:
+ g = self.ref_enc(y.transpose(1, 2)).unsqueeze(-1)
+ x, m_p, logs_p, x_mask = self.enc_p(
+ x, x_lengths, tone, language, zh_bert, ja_bert, en_bert, emo=emo, g=g
+ )
+ logw = self.sdp(x, x_mask, g=g, reverse=True, noise_scale=noise_scale_w) * (
+ sdp_ratio
+ ) + self.dp(x, x_mask, g=g) * (1 - sdp_ratio)
+ w = torch.exp(logw) * x_mask * length_scale
+ w_ceil = torch.ceil(w)
+ y_lengths = torch.clamp_min(torch.sum(w_ceil, [1, 2]), 1).long()
+ y_mask = torch.unsqueeze(commons.sequence_mask(y_lengths, None), 1).to(
+ x_mask.dtype
+ )
+ attn_mask = torch.unsqueeze(x_mask, 2) * torch.unsqueeze(y_mask, -1)
+ attn = commons.generate_path(w_ceil, attn_mask)
+
+ m_p = torch.matmul(attn.squeeze(1), m_p.transpose(1, 2)).transpose(
+ 1, 2
+ ) # [b, t', t], [b, t, d] -> [b, d, t']
+ logs_p = torch.matmul(attn.squeeze(1), logs_p.transpose(1, 2)).transpose(
+ 1, 2
+ ) # [b, t', t], [b, t, d] -> [b, d, t']
+
+ z_p = m_p + torch.randn_like(m_p) * torch.exp(logs_p) * noise_scale
+ z = self.flow(z_p, y_mask, g=g, reverse=True)
+ o = self.dec((z * y_mask)[:, :, :max_len], g=g)
+ return o, attn, y_mask, (z, z_p, m_p, logs_p)
diff --git a/bert_vits2/modules.py b/bert_vits2/modules.py
new file mode 100644
index 0000000000000000000000000000000000000000..9206f95b0037251225eddc1d64b60f749155135c
--- /dev/null
+++ b/bert_vits2/modules.py
@@ -0,0 +1,459 @@
+import copy
+import math
+import numpy as np
+import scipy
+import torch
+from torch import nn
+from torch.nn import functional as F
+
+from torch.nn import Conv1d, ConvTranspose1d, AvgPool1d, Conv2d
+from torch.nn.utils import weight_norm, remove_weight_norm
+
+from bert_vits2 import commons
+from bert_vits2.commons import init_weights, get_padding
+from bert_vits2.transforms import piecewise_rational_quadratic_transform
+from bert_vits2.attentions import Encoder
+
+LRELU_SLOPE = 0.1
+
+
+class LayerNorm(nn.Module):
+ def __init__(self, channels, eps=1e-5):
+ super().__init__()
+ self.channels = channels
+ self.eps = eps
+
+ self.gamma = nn.Parameter(torch.ones(channels))
+ self.beta = nn.Parameter(torch.zeros(channels))
+
+ def forward(self, x):
+ x = x.transpose(1, -1)
+ x = F.layer_norm(x, (self.channels,), self.gamma, self.beta, self.eps)
+ return x.transpose(1, -1)
+
+
+class ConvReluNorm(nn.Module):
+ def __init__(self, in_channels, hidden_channels, out_channels, kernel_size, n_layers, p_dropout):
+ super().__init__()
+ self.in_channels = in_channels
+ self.hidden_channels = hidden_channels
+ self.out_channels = out_channels
+ self.kernel_size = kernel_size
+ self.n_layers = n_layers
+ self.p_dropout = p_dropout
+ assert n_layers > 1, "Number of layers should be larger than 0."
+
+ self.conv_layers = nn.ModuleList()
+ self.norm_layers = nn.ModuleList()
+ self.conv_layers.append(nn.Conv1d(in_channels, hidden_channels, kernel_size, padding=kernel_size // 2))
+ self.norm_layers.append(LayerNorm(hidden_channels))
+ self.relu_drop = nn.Sequential(
+ nn.ReLU(),
+ nn.Dropout(p_dropout))
+ for _ in range(n_layers - 1):
+ self.conv_layers.append(nn.Conv1d(hidden_channels, hidden_channels, kernel_size, padding=kernel_size // 2))
+ self.norm_layers.append(LayerNorm(hidden_channels))
+ self.proj = nn.Conv1d(hidden_channels, out_channels, 1)
+ self.proj.weight.data.zero_()
+ self.proj.bias.data.zero_()
+
+ def forward(self, x, x_mask):
+ x_org = x
+ for i in range(self.n_layers):
+ x = self.conv_layers[i](x * x_mask)
+ x = self.norm_layers[i](x)
+ x = self.relu_drop(x)
+ x = x_org + self.proj(x)
+ return x * x_mask
+
+
+class DDSConv(nn.Module):
+ """
+ Dialted and Depth-Separable Convolution
+ """
+
+ def __init__(self, channels, kernel_size, n_layers, p_dropout=0.):
+ super().__init__()
+ self.channels = channels
+ self.kernel_size = kernel_size
+ self.n_layers = n_layers
+ self.p_dropout = p_dropout
+
+ self.drop = nn.Dropout(p_dropout)
+ self.convs_sep = nn.ModuleList()
+ self.convs_1x1 = nn.ModuleList()
+ self.norms_1 = nn.ModuleList()
+ self.norms_2 = nn.ModuleList()
+ for i in range(n_layers):
+ dilation = kernel_size ** i
+ padding = (kernel_size * dilation - dilation) // 2
+ self.convs_sep.append(nn.Conv1d(channels, channels, kernel_size,
+ groups=channels, dilation=dilation, padding=padding
+ ))
+ self.convs_1x1.append(nn.Conv1d(channels, channels, 1))
+ self.norms_1.append(LayerNorm(channels))
+ self.norms_2.append(LayerNorm(channels))
+
+ def forward(self, x, x_mask, g=None):
+ if g is not None:
+ x = x + g
+ for i in range(self.n_layers):
+ y = self.convs_sep[i](x * x_mask)
+ y = self.norms_1[i](y)
+ y = F.gelu(y)
+ y = self.convs_1x1[i](y)
+ y = self.norms_2[i](y)
+ y = F.gelu(y)
+ y = self.drop(y)
+ x = x + y
+ return x * x_mask
+
+
+class WN(torch.nn.Module):
+ def __init__(self, hidden_channels, kernel_size, dilation_rate, n_layers, gin_channels=0, p_dropout=0):
+ super(WN, self).__init__()
+ assert (kernel_size % 2 == 1)
+ self.hidden_channels = hidden_channels
+ self.kernel_size = kernel_size,
+ self.dilation_rate = dilation_rate
+ self.n_layers = n_layers
+ self.gin_channels = gin_channels
+ self.p_dropout = p_dropout
+
+ self.in_layers = torch.nn.ModuleList()
+ self.res_skip_layers = torch.nn.ModuleList()
+ self.drop = nn.Dropout(p_dropout)
+
+ if gin_channels != 0:
+ cond_layer = torch.nn.Conv1d(gin_channels, 2 * hidden_channels * n_layers, 1)
+ self.cond_layer = torch.nn.utils.weight_norm(cond_layer, name='weight')
+
+ for i in range(n_layers):
+ dilation = dilation_rate ** i
+ padding = int((kernel_size * dilation - dilation) / 2)
+ in_layer = torch.nn.Conv1d(hidden_channels, 2 * hidden_channels, kernel_size,
+ dilation=dilation, padding=padding)
+ in_layer = torch.nn.utils.weight_norm(in_layer, name='weight')
+ self.in_layers.append(in_layer)
+
+ # last one is not necessary
+ if i < n_layers - 1:
+ res_skip_channels = 2 * hidden_channels
+ else:
+ res_skip_channels = hidden_channels
+
+ res_skip_layer = torch.nn.Conv1d(hidden_channels, res_skip_channels, 1)
+ res_skip_layer = torch.nn.utils.weight_norm(res_skip_layer, name='weight')
+ self.res_skip_layers.append(res_skip_layer)
+
+ def forward(self, x, x_mask, g=None, **kwargs):
+ output = torch.zeros_like(x)
+ n_channels_tensor = torch.IntTensor([self.hidden_channels])
+
+ if g is not None:
+ g = self.cond_layer(g)
+
+ for i in range(self.n_layers):
+ x_in = self.in_layers[i](x)
+ if g is not None:
+ cond_offset = i * 2 * self.hidden_channels
+ g_l = g[:, cond_offset:cond_offset + 2 * self.hidden_channels, :]
+ else:
+ g_l = torch.zeros_like(x_in)
+
+ acts = commons.fused_add_tanh_sigmoid_multiply(
+ x_in,
+ g_l,
+ n_channels_tensor)
+ acts = self.drop(acts)
+
+ res_skip_acts = self.res_skip_layers[i](acts)
+ if i < self.n_layers - 1:
+ res_acts = res_skip_acts[:, :self.hidden_channels, :]
+ x = (x + res_acts) * x_mask
+ output = output + res_skip_acts[:, self.hidden_channels:, :]
+ else:
+ output = output + res_skip_acts
+ return output * x_mask
+
+ def remove_weight_norm(self):
+ if self.gin_channels != 0:
+ torch.nn.utils.remove_weight_norm(self.cond_layer)
+ for l in self.in_layers:
+ torch.nn.utils.remove_weight_norm(l)
+ for l in self.res_skip_layers:
+ torch.nn.utils.remove_weight_norm(l)
+
+
+class ResBlock1(torch.nn.Module):
+ def __init__(self, channels, kernel_size=3, dilation=(1, 3, 5)):
+ super(ResBlock1, self).__init__()
+ self.convs1 = nn.ModuleList([
+ weight_norm(Conv1d(channels, channels, kernel_size, 1, dilation=dilation[0],
+ padding=get_padding(kernel_size, dilation[0]))),
+ weight_norm(Conv1d(channels, channels, kernel_size, 1, dilation=dilation[1],
+ padding=get_padding(kernel_size, dilation[1]))),
+ weight_norm(Conv1d(channels, channels, kernel_size, 1, dilation=dilation[2],
+ padding=get_padding(kernel_size, dilation[2])))
+ ])
+ self.convs1.apply(init_weights)
+
+ self.convs2 = nn.ModuleList([
+ weight_norm(Conv1d(channels, channels, kernel_size, 1, dilation=1,
+ padding=get_padding(kernel_size, 1))),
+ weight_norm(Conv1d(channels, channels, kernel_size, 1, dilation=1,
+ padding=get_padding(kernel_size, 1))),
+ weight_norm(Conv1d(channels, channels, kernel_size, 1, dilation=1,
+ padding=get_padding(kernel_size, 1)))
+ ])
+ self.convs2.apply(init_weights)
+
+ def forward(self, x, x_mask=None):
+ for c1, c2 in zip(self.convs1, self.convs2):
+ xt = F.leaky_relu(x, LRELU_SLOPE)
+ if x_mask is not None:
+ xt = xt * x_mask
+ xt = c1(xt)
+ xt = F.leaky_relu(xt, LRELU_SLOPE)
+ if x_mask is not None:
+ xt = xt * x_mask
+ xt = c2(xt)
+ x = xt + x
+ if x_mask is not None:
+ x = x * x_mask
+ return x
+
+ def remove_weight_norm(self):
+ for l in self.convs1:
+ remove_weight_norm(l)
+ for l in self.convs2:
+ remove_weight_norm(l)
+
+
+class ResBlock2(torch.nn.Module):
+ def __init__(self, channels, kernel_size=3, dilation=(1, 3)):
+ super(ResBlock2, self).__init__()
+ self.convs = nn.ModuleList([
+ weight_norm(Conv1d(channels, channels, kernel_size, 1, dilation=dilation[0],
+ padding=get_padding(kernel_size, dilation[0]))),
+ weight_norm(Conv1d(channels, channels, kernel_size, 1, dilation=dilation[1],
+ padding=get_padding(kernel_size, dilation[1])))
+ ])
+ self.convs.apply(init_weights)
+
+ def forward(self, x, x_mask=None):
+ for c in self.convs:
+ xt = F.leaky_relu(x, LRELU_SLOPE)
+ if x_mask is not None:
+ xt = xt * x_mask
+ xt = c(xt)
+ x = xt + x
+ if x_mask is not None:
+ x = x * x_mask
+ return x
+
+ def remove_weight_norm(self):
+ for l in self.convs:
+ remove_weight_norm(l)
+
+
+class Log(nn.Module):
+ def forward(self, x, x_mask, reverse=False, **kwargs):
+ if not reverse:
+ y = torch.log(torch.clamp_min(x, 1e-5)) * x_mask
+ logdet = torch.sum(-y, [1, 2])
+ return y, logdet
+ else:
+ x = torch.exp(x) * x_mask
+ return x
+
+
+class Flip(nn.Module):
+ def forward(self, x, *args, reverse=False, **kwargs):
+ x = torch.flip(x, [1])
+ if not reverse:
+ logdet = torch.zeros(x.size(0)).to(dtype=x.dtype, device=x.device)
+ return x, logdet
+ else:
+ return x
+
+
+class ElementwiseAffine(nn.Module):
+ def __init__(self, channels):
+ super().__init__()
+ self.channels = channels
+ self.m = nn.Parameter(torch.zeros(channels, 1))
+ self.logs = nn.Parameter(torch.zeros(channels, 1))
+
+ def forward(self, x, x_mask, reverse=False, **kwargs):
+ if not reverse:
+ y = self.m + torch.exp(self.logs) * x
+ y = y * x_mask
+ logdet = torch.sum(self.logs * x_mask, [1, 2])
+ return y, logdet
+ else:
+ x = (x - self.m) * torch.exp(-self.logs) * x_mask
+ return x
+
+
+class ResidualCouplingLayer(nn.Module):
+ def __init__(self,
+ channels,
+ hidden_channels,
+ kernel_size,
+ dilation_rate,
+ n_layers,
+ p_dropout=0,
+ gin_channels=0,
+ mean_only=False):
+ assert channels % 2 == 0, "channels should be divisible by 2"
+ super().__init__()
+ self.channels = channels
+ self.hidden_channels = hidden_channels
+ self.kernel_size = kernel_size
+ self.dilation_rate = dilation_rate
+ self.n_layers = n_layers
+ self.half_channels = channels // 2
+ self.mean_only = mean_only
+
+ self.pre = nn.Conv1d(self.half_channels, hidden_channels, 1)
+ self.enc = WN(hidden_channels, kernel_size, dilation_rate, n_layers, p_dropout=p_dropout,
+ gin_channels=gin_channels)
+ self.post = nn.Conv1d(hidden_channels, self.half_channels * (2 - mean_only), 1)
+ self.post.weight.data.zero_()
+ self.post.bias.data.zero_()
+
+ def forward(self, x, x_mask, g=None, reverse=False):
+ x0, x1 = torch.split(x, [self.half_channels] * 2, 1)
+ h = self.pre(x0) * x_mask
+ h = self.enc(h, x_mask, g=g)
+ stats = self.post(h) * x_mask
+ if not self.mean_only:
+ m, logs = torch.split(stats, [self.half_channels] * 2, 1)
+ else:
+ m = stats
+ logs = torch.zeros_like(m)
+
+ if not reverse:
+ x1 = m + x1 * torch.exp(logs) * x_mask
+ x = torch.cat([x0, x1], 1)
+ logdet = torch.sum(logs, [1, 2])
+ return x, logdet
+ else:
+ x1 = (x1 - m) * torch.exp(-logs) * x_mask
+ x = torch.cat([x0, x1], 1)
+ return x
+
+
+class ConvFlow(nn.Module):
+ def __init__(self, in_channels, filter_channels, kernel_size, n_layers, num_bins=10, tail_bound=5.0):
+ super().__init__()
+ self.in_channels = in_channels
+ self.filter_channels = filter_channels
+ self.kernel_size = kernel_size
+ self.n_layers = n_layers
+ self.num_bins = num_bins
+ self.tail_bound = tail_bound
+ self.half_channels = in_channels // 2
+
+ self.pre = nn.Conv1d(self.half_channels, filter_channels, 1)
+ self.convs = DDSConv(filter_channels, kernel_size, n_layers, p_dropout=0.)
+ self.proj = nn.Conv1d(filter_channels, self.half_channels * (num_bins * 3 - 1), 1)
+ self.proj.weight.data.zero_()
+ self.proj.bias.data.zero_()
+
+ def forward(self, x, x_mask, g=None, reverse=False):
+ x0, x1 = torch.split(x, [self.half_channels] * 2, 1)
+ h = self.pre(x0)
+ h = self.convs(h, x_mask, g=g)
+ h = self.proj(h) * x_mask
+
+ b, c, t = x0.shape
+ h = h.reshape(b, c, -1, t).permute(0, 1, 3, 2) # [b, cx?, t] -> [b, c, t, ?]
+
+ unnormalized_widths = h[..., :self.num_bins] / math.sqrt(self.filter_channels)
+ unnormalized_heights = h[..., self.num_bins:2 * self.num_bins] / math.sqrt(self.filter_channels)
+ unnormalized_derivatives = h[..., 2 * self.num_bins:]
+
+ x1, logabsdet = piecewise_rational_quadratic_transform(x1,
+ unnormalized_widths,
+ unnormalized_heights,
+ unnormalized_derivatives,
+ inverse=reverse,
+ tails='linear',
+ tail_bound=self.tail_bound
+ )
+
+ x = torch.cat([x0, x1], 1) * x_mask
+ logdet = torch.sum(logabsdet * x_mask, [1, 2])
+ if not reverse:
+ return x, logdet
+ else:
+ return x
+
+
+class TransformerCouplingLayer(nn.Module):
+ def __init__(self,
+ channels,
+ hidden_channels,
+ kernel_size,
+ n_layers,
+ n_heads,
+ p_dropout=0,
+ filter_channels=0,
+ mean_only=False,
+ wn_sharing_parameter=None,
+ gin_channels=0
+ ):
+ assert channels % 2 == 0, "channels should be divisible by 2"
+ super().__init__()
+ self.channels = channels
+ self.hidden_channels = hidden_channels
+ self.kernel_size = kernel_size
+ self.n_layers = n_layers
+ self.half_channels = channels // 2
+ self.mean_only = mean_only
+
+ self.pre = nn.Conv1d(self.half_channels, hidden_channels, 1)
+ self.enc = Encoder(hidden_channels, filter_channels, n_heads, n_layers, kernel_size, p_dropout, isflow=True,
+ gin_channels=gin_channels) if wn_sharing_parameter is None else wn_sharing_parameter
+ self.post = nn.Conv1d(hidden_channels, self.half_channels * (2 - mean_only), 1)
+ self.post.weight.data.zero_()
+ self.post.bias.data.zero_()
+
+ def forward(self, x, x_mask, g=None, reverse=False):
+ x0, x1 = torch.split(x, [self.half_channels] * 2, 1)
+ h = self.pre(x0) * x_mask
+ h = self.enc(h, x_mask, g=g)
+ stats = self.post(h) * x_mask
+ if not self.mean_only:
+ m, logs = torch.split(stats, [self.half_channels] * 2, 1)
+ else:
+ m = stats
+ logs = torch.zeros_like(m)
+
+ if not reverse:
+ x1 = m + x1 * torch.exp(logs) * x_mask
+ x = torch.cat([x0, x1], 1)
+ logdet = torch.sum(logs, [1, 2])
+ return x, logdet
+ else:
+ x1 = (x1 - m) * torch.exp(-logs) * x_mask
+ x = torch.cat([x0, x1], 1)
+ return x
+
+ x1, logabsdet = piecewise_rational_quadratic_transform(x1,
+ unnormalized_widths,
+ unnormalized_heights,
+ unnormalized_derivatives,
+ inverse=reverse,
+ tails='linear',
+ tail_bound=self.tail_bound
+ )
+
+ x = torch.cat([x0, x1], 1) * x_mask
+ logdet = torch.sum(logabsdet * x_mask, [1, 2])
+ if not reverse:
+ return x, logdet
+ else:
+ return x
diff --git a/bert_vits2/requirements.txt b/bert_vits2/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c58025aeb6b1cfdb2f9a9651220f55b230f64fe1
--- /dev/null
+++ b/bert_vits2/requirements.txt
@@ -0,0 +1,15 @@
+Cython
+librosa==0.9.1
+matplotlib==3.3.1
+numpy
+phonemizer
+scipy
+tensorboard
+torch
+torchvision
+Unidecode
+amfm_decompy
+jieba
+transformers
+pypinyin
+cn2an
diff --git a/bert_vits2/text/__init__.py b/bert_vits2/text/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..cca8a4b8aafddd8a0f790a662d78b00075f65168
--- /dev/null
+++ b/bert_vits2/text/__init__.py
@@ -0,0 +1,25 @@
+from bert_vits2.text.symbols import *
+
+
+def cleaned_text_to_sequence_v111(cleaned_text, tones, language, _symbol_to_id):
+ """version <= 1.1.1"""
+ phones = [_symbol_to_id[symbol] for symbol in cleaned_text]
+ tone_start = language_tone_start_map_v111[language]
+ tones = [i + tone_start for i in tones]
+ lang_id = language_id_map[language]
+ lang_ids = [lang_id for i in phones]
+ return phones, tones, lang_ids
+
+def cleaned_text_to_sequence(cleaned_text, tones, language, _symbol_to_id):
+ """Converts a string of text to a sequence of IDs corresponding to the symbols in the text.
+ Args:
+ text: string to convert to a sequence
+ Returns:
+ List of integers corresponding to the symbols in the text
+ """
+ phones = [_symbol_to_id[symbol] for symbol in cleaned_text]
+ tone_start = language_tone_start_map[language]
+ tones = [i + tone_start for i in tones]
+ lang_id = language_id_map[language]
+ lang_ids = [lang_id for i in phones]
+ return phones, tones, lang_ids
diff --git a/bert_vits2/text/chinese.py b/bert_vits2/text/chinese.py
new file mode 100644
index 0000000000000000000000000000000000000000..fe59c87190876ef95fa0580373318cfc4508686e
--- /dev/null
+++ b/bert_vits2/text/chinese.py
@@ -0,0 +1,198 @@
+import os
+import re
+
+import cn2an
+from pypinyin import lazy_pinyin, Style
+
+from bert_vits2.text.symbols import punctuation
+from bert_vits2.text.tone_sandhi import ToneSandhi
+
+current_file_path = os.path.dirname(__file__)
+pinyin_to_symbol_map = {line.split("\t")[0]: line.strip().split("\t")[1] for line in
+ open(os.path.join(current_file_path, 'opencpop-strict.txt')).readlines()}
+
+import jieba.posseg as psg
+from jieba import lcut
+
+lcut("预加载")
+
+rep_map = {
+ "：": ",",
+ "；": ",",
+ "，": ",",
+ "。": ".",
+ "！": "!",
+ "？": "?",
+ "\n": ".",
+ "·": ",",
+ "、": ",",
+ "...": "…",
+ "$": ".",
+ "“": "'",
+ "”": "'",
+ '"': "'",
+ "‘": "'",
+ "’": "'",
+ "（": "'",
+ "）": "'",
+ "(": "'",
+ ")": "'",
+ "《": "'",
+ "》": "'",
+ "【": "'",
+ "】": "'",
+ "[": "'",
+ "]": "'",
+ "—": "-",
+ "～": "-",
+ "~": "-",
+ "「": "'",
+ "」": "'",
+}
+
+tone_modifier = ToneSandhi()
+
+
+def replace_punctuation(text):
+ text = text.replace("嗯", "恩").replace("呣", "母")
+ pattern = re.compile('|'.join(re.escape(p) for p in rep_map.keys()))
+
+ replaced_text = pattern.sub(lambda x: rep_map[x.group()], text)
+
+ replaced_text = re.sub(r'[^\u4e00-\u9fa5' + "".join(punctuation) + r']+', '', replaced_text)
+
+ return replaced_text
+
+
+def g2p(text, **kwargs):
+ pattern = r'(?<=[{0}])\s*'.format(''.join(punctuation))
+ sentences = [i for i in re.split(pattern, text) if i.strip() != '']
+ phones, tones, word2ph = _g2p(sentences)
+ assert sum(word2ph) == len(phones)
+ assert len(word2ph) == len(text) # Sometimes it will crash,you can add a try-catch.
+ phones = ['_'] + phones + ["_"]
+ tones = [0] + tones + [0]
+ word2ph = [1] + word2ph + [1]
+ return phones, tones, word2ph
+
+
+def _get_initials_finals(word):
+ initials = []
+ finals = []
+ orig_initials = lazy_pinyin(
+ word, neutral_tone_with_five=True, style=Style.INITIALS)
+ orig_finals = lazy_pinyin(
+ word, neutral_tone_with_five=True, style=Style.FINALS_TONE3)
+ for c, v in zip(orig_initials, orig_finals):
+ initials.append(c)
+ finals.append(v)
+ return initials, finals
+
+
+def _g2p(segments, **kwargs):
+ phones_list = []
+ tones_list = []
+ word2ph = []
+ for seg in segments:
+ pinyins = []
+ # Replace all English words in the sentence
+ seg = re.sub('[a-zA-Z]+', '', seg)
+ seg_cut = psg.lcut(seg)
+ initials = []
+ finals = []
+ seg_cut = tone_modifier.pre_merge_for_modify(seg_cut)
+ for word, pos in seg_cut:
+ if pos == 'eng':
+ continue
+ sub_initials, sub_finals = _get_initials_finals(word)
+ sub_finals = tone_modifier.modified_tone(word, pos,
+ sub_finals)
+ initials.append(sub_initials)
+ finals.append(sub_finals)
+
+ # assert len(sub_initials) == len(sub_finals) == len(word)
+ initials = sum(initials, [])
+ finals = sum(finals, [])
+ #
+ for c, v in zip(initials, finals):
+ raw_pinyin = c + v
+ # NOTE: post process for pypinyin outputs
+ # we discriminate i, ii and iii
+ if c == v:
+ assert c in punctuation
+ phone = [c]
+ tone = '0'
+ word2ph.append(1)
+ else:
+ v_without_tone = v[:-1]
+ tone = v[-1]
+
+ pinyin = c + v_without_tone
+ assert tone in '12345'
+
+ if c:
+ # 多音节
+ v_rep_map = {
+ "uei": 'ui',
+ 'iou': 'iu',
+ 'uen': 'un',
+ }
+ if v_without_tone in v_rep_map.keys():
+ pinyin = c + v_rep_map[v_without_tone]
+ else:
+ # 单音节
+ pinyin_rep_map = {
+ 'ing': 'ying',
+ 'i': 'yi',
+ 'in': 'yin',
+ 'u': 'wu',
+ }
+ if pinyin in pinyin_rep_map.keys():
+ pinyin = pinyin_rep_map[pinyin]
+ else:
+ single_rep_map = {
+ 'v': 'yu',
+ 'e': 'e',
+ 'i': 'y',
+ 'u': 'w',
+ }
+ if pinyin[0] in single_rep_map.keys():
+ pinyin = single_rep_map[pinyin[0]] + pinyin[1:]
+
+ assert pinyin in pinyin_to_symbol_map.keys(), (pinyin, seg, raw_pinyin)
+ phone = pinyin_to_symbol_map[pinyin].split(' ')
+ word2ph.append(len(phone))
+
+ phones_list += phone
+ tones_list += [int(tone)] * len(phone)
+ return phones_list, tones_list, word2ph
+
+
+def text_normalize(text):
+ # numbers = re.findall(r'\d+(?:\.?\d+)?', text)
+ # for number in numbers:
+ # text = text.replace(number, cn2an.an2cn(number), 1)
+ text = cn2an.transform(text, "an2cn")
+ text = replace_punctuation(text)
+ return text
+
+
+def get_bert_feature(text, word2ph):
+ from bert_vits2.text import chinese_bert
+ return chinese_bert.get_bert_feature(text, word2ph)
+
+
+if __name__ == '__main__':
+ text = "啊！但是《原神》是由,米哈\游自主， [研发]的一款全.新开放世界.冒险游戏。"
+ text = text_normalize(text)
+ print(text)
+ phones, tones, word2ph = g2p(text)
+
+ print(phones, tones, word2ph)
+ bert = get_bert_feature(text, word2ph)
+
+ print(bert.shape)
+
+# # 示例用法
+# text = "这是一个示例文本：,你好！这是一个测试...."
+# print(g2p_paddle(text)) # 输出: 这是一个示例文本你好这是一个测试
diff --git a/bert_vits2/text/chinese_bert.py b/bert_vits2/text/chinese_bert.py
new file mode 100644
index 0000000000000000000000000000000000000000..a7fc080623cceb67a64587aed3c0e105ca1c7496
--- /dev/null
+++ b/bert_vits2/text/chinese_bert.py
@@ -0,0 +1,59 @@
+import torch
+
+from contants import config
+
+
+def get_bert_feature(text, word2ph, tokenizer, model, device=config.system.device, style_text=None, style_weight=0.7,
+ **kwargs):
+ with torch.no_grad():
+ inputs = tokenizer(text, return_tensors='pt')
+ for i in inputs:
+ inputs[i] = inputs[i].to(device)
+ res = model(**inputs, output_hidden_states=True)
+ res = torch.cat(res['hidden_states'][-3:-2], -1)[0].float().cpu()
+ if style_text:
+ style_inputs = tokenizer(style_text, return_tensors="pt")
+ for i in style_inputs:
+ style_inputs[i] = style_inputs[i].to(device)
+ style_res = model(**style_inputs, output_hidden_states=True)
+ style_res = torch.cat(style_res["hidden_states"][-3:-2], -1)[0].float().cpu()
+ style_res_mean = style_res.mean(0)
+
+ assert len(word2ph) == len(text) + 2
+ word2phone = word2ph
+ phone_level_feature = []
+ for i in range(len(word2phone)):
+ if style_text:
+ repeat_feature = (
+ res[i].repeat(word2phone[i], 1) * (1 - style_weight)
+ + style_res_mean.repeat(word2phone[i], 1) * style_weight
+ )
+ else:
+ repeat_feature = res[i].repeat(word2phone[i], 1)
+ phone_level_feature.append(repeat_feature)
+
+ phone_level_feature = torch.cat(phone_level_feature, dim=0)
+
+ return phone_level_feature.T
+
+
+if __name__ == '__main__':
+
+ word_level_feature = torch.rand(38, 1024) # 12个词,每个词1024维特征
+ word2phone = [1, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 2, 2, 2, 1, 1, 2, 2, 1, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 2,
+ 2, 2, 2, 1]
+
+ # 计算总帧数
+ total_frames = sum(word2phone)
+ print(word_level_feature.shape)
+ print(word2phone)
+ phone_level_feature = []
+ for i in range(len(word2phone)):
+ print(word_level_feature[i].shape)
+
+ # 对每个词重复word2phone[i]次
+ repeat_feature = word_level_feature[i].repeat(word2phone[i], 1)
+ phone_level_feature.append(repeat_feature)
+
+ phone_level_feature = torch.cat(phone_level_feature, dim=0)
+ print(phone_level_feature.shape) # torch.Size([36, 1024])
diff --git a/bert_vits2/text/chinese_bert_extra.py b/bert_vits2/text/chinese_bert_extra.py
new file mode 100644
index 0000000000000000000000000000000000000000..66a26fb8d7444fd4392ab08235c9073c5764d96e
--- /dev/null
+++ b/bert_vits2/text/chinese_bert_extra.py
@@ -0,0 +1,60 @@
+import torch
+
+from contants import config
+
+
+def get_bert_feature(text, word2ph, tokenizer, model, device=config.system.device, style_text=None, style_weight=0.7,
+ **kwargs):
+ with torch.no_grad():
+ inputs = tokenizer(text, return_tensors='pt')
+ for i in inputs:
+ inputs[i] = inputs[i].to(device)
+ res = model(**inputs, output_hidden_states=True)
+ res = torch.nn.functional.normalize(torch.cat(res["hidden_states"][-3:-2], -1)[0], dim=0).float().cpu()
+ if style_text:
+ style_inputs = tokenizer(style_text, return_tensors="pt")
+ for i in style_inputs:
+ style_inputs[i] = style_inputs[i].to(device)
+ style_res = model(**style_inputs, output_hidden_states=True)
+ style_res = torch.nn.functional.normalize(
+ torch.cat(style_res["hidden_states"][-3:-2], -1)[0], dim=0
+ ).float().cpu()
+ style_res_mean = style_res.mean(0)
+ assert len(word2ph) == len(text) + 2
+ word2phone = word2ph
+ phone_level_feature = []
+ for i in range(len(word2phone)):
+ if style_text:
+ repeat_feature = (
+ res[i].repeat(word2phone[i], 1) * (1 - style_weight)
+ + style_res_mean.repeat(word2phone[i], 1) * style_weight
+ )
+ else:
+ repeat_feature = res[i].repeat(word2phone[i], 1)
+ phone_level_feature.append(repeat_feature)
+
+ phone_level_feature = torch.cat(phone_level_feature, dim=0)
+
+ return phone_level_feature.T
+
+
+if __name__ == '__main__':
+
+ word_level_feature = torch.rand(38, 2048) # 12个词,每个词2048维特征
+ word2phone = [1, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 2, 2, 2, 1, 1, 2, 2, 1, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 2,
+ 2, 2, 2, 1]
+
+ # 计算总帧数
+ total_frames = sum(word2phone)
+ print(word_level_feature.shape)
+ print(word2phone)
+ phone_level_feature = []
+ for i in range(len(word2phone)):
+ print(word_level_feature[i].shape)
+
+ # 对每个词重复word2phone[i]次
+ repeat_feature = word_level_feature[i].repeat(word2phone[i], 1)
+ phone_level_feature.append(repeat_feature)
+
+ phone_level_feature = torch.cat(phone_level_feature, dim=0)
+ print(phone_level_feature.shape) # torch.Size([36, 2048])
diff --git a/bert_vits2/text/chinese_v100.py b/bert_vits2/text/chinese_v100.py
new file mode 100644
index 0000000000000000000000000000000000000000..2fafda89c7336c88efbf23dd66c511176d172c70
--- /dev/null
+++ b/bert_vits2/text/chinese_v100.py
@@ -0,0 +1,197 @@
+import os
+import re
+
+import cn2an
+from pypinyin import lazy_pinyin, Style
+
+from bert_vits2.text.symbols import punctuation
+from bert_vits2.text.tone_sandhi import ToneSandhi
+
+current_file_path = os.path.dirname(__file__)
+pinyin_to_symbol_map = {line.split("\t")[0]: line.strip().split("\t")[1] for line in
+ open(os.path.join(current_file_path, 'opencpop-strict.txt')).readlines()}
+
+import jieba.posseg as psg
+from jieba import lcut
+
+lcut("预加载")
+
+rep_map = {
+ '：': ',',
+ '；': ',',
+ '，': ',',
+ '。': '.',
+ '！': '!',
+ '？': '?',
+ '\n': '.',
+ "·": ",",
+ '、': ",",
+ '...': '…',
+ '$': '.',
+ '“': "'",
+ '”': "'",
+ '‘': "'",
+ '’': "'",
+ '（': "'",
+ '）': "'",
+ '(': "'",
+ ')': "'",
+ '《': "'",
+ '》': "'",
+ '【': "'",
+ '】': "'",
+ '[': "'",
+ ']': "'",
+ '—': "-",
+ '～': "-",
+ '~': "-",
+ '「': "'",
+ '」': "'",
+}
+
+tone_modifier = ToneSandhi()
+
+
+def replace_punctuation(text):
+ text = text.replace("嗯", "恩").replace("呣", "母")
+ pattern = re.compile('|'.join(re.escape(p) for p in rep_map.keys()))
+
+ replaced_text = pattern.sub(lambda x: rep_map[x.group()], text)
+
+ replaced_text = re.sub(r'[^\u4e00-\u9fa5' + "".join(punctuation) + r']+', '', replaced_text)
+
+ return replaced_text
+
+
+def g2p(text, **kwargs):
+ pattern = r'(?<=[{0}])\s*'.format(''.join(punctuation))
+ sentences = [i for i in re.split(pattern, text) if i.strip() != '']
+ phones, tones, word2ph = _g2p(sentences)
+ assert sum(word2ph) == len(phones)
+ assert len(word2ph) == len(text) # Sometimes it will crash,you can add a try-catch.
+ phones = ['_'] + phones + ["_"]
+ tones = [0] + tones + [0]
+ word2ph = [1] + word2ph + [1]
+ return phones, tones, word2ph
+
+
+def _get_initials_finals(word):
+ initials = []
+ finals = []
+ orig_initials = lazy_pinyin(
+ word, neutral_tone_with_five=True, style=Style.INITIALS)
+ orig_finals = lazy_pinyin(
+ word, neutral_tone_with_five=True, style=Style.FINALS_TONE3)
+ for c, v in zip(orig_initials, orig_finals):
+ initials.append(c)
+ finals.append(v)
+ return initials, finals
+
+
+def _g2p(segments):
+ phones_list = []
+ tones_list = []
+ word2ph = []
+ for seg in segments:
+ pinyins = []
+ # Replace all English words in the sentence
+ seg = re.sub('[a-zA-Z]+', '', seg)
+ seg_cut = psg.lcut(seg)
+ initials = []
+ finals = []
+ seg_cut = tone_modifier.pre_merge_for_modify(seg_cut)
+ for word, pos in seg_cut:
+ if pos == 'eng':
+ continue
+ sub_initials, sub_finals = _get_initials_finals(word)
+ sub_finals = tone_modifier.modified_tone(word, pos,
+ sub_finals)
+ initials.append(sub_initials)
+ finals.append(sub_finals)
+
+ # assert len(sub_initials) == len(sub_finals) == len(word)
+ initials = sum(initials, [])
+ finals = sum(finals, [])
+ #
+ for c, v in zip(initials, finals):
+ raw_pinyin = c + v
+ # NOTE: post process for pypinyin outputs
+ # we discriminate i, ii and iii
+ if c == v:
+ assert c in punctuation
+ phone = [c]
+ tone = '0'
+ word2ph.append(1)
+ else:
+ v_without_tone = v[:-1]
+ tone = v[-1]
+
+ pinyin = c + v_without_tone
+ assert tone in '12345'
+
+ if c:
+ # 多音节
+ v_rep_map = {
+ "uei": 'ui',
+ 'iou': 'iu',
+ 'uen': 'un',
+ }
+ if v_without_tone in v_rep_map.keys():
+ pinyin = c + v_rep_map[v_without_tone]
+ else:
+ # 单音节
+ pinyin_rep_map = {
+ 'ing': 'ying',
+ 'i': 'yi',
+ 'in': 'yin',
+ 'u': 'wu',
+ }
+ if pinyin in pinyin_rep_map.keys():
+ pinyin = pinyin_rep_map[pinyin]
+ else:
+ single_rep_map = {
+ 'v': 'yu',
+ 'e': 'e',
+ 'i': 'y',
+ 'u': 'w',
+ }
+ if pinyin[0] in single_rep_map.keys():
+ pinyin = single_rep_map[pinyin[0]] + pinyin[1:]
+
+ assert pinyin in pinyin_to_symbol_map.keys(), (pinyin, seg, raw_pinyin)
+ phone = pinyin_to_symbol_map[pinyin].split(' ')
+ word2ph.append(len(phone))
+
+ phones_list += phone
+ tones_list += [int(tone)] * len(phone)
+ return phones_list, tones_list, word2ph
+
+
+def text_normalize(text):
+ # numbers = re.findall(r'\d+(?:\.?\d+)?', text)
+ # for number in numbers:
+ # text = text.replace(number, cn2an.an2cn(number), 1)
+ text = cn2an.transform(text, "an2cn")
+ text = replace_punctuation(text)
+ return text
+
+
+def get_bert_feature(text, word2ph):
+ from bert_vits2.text import chinese_bert
+ return chinese_bert.get_bert_feature(text, word2ph)
+
+
+if __name__ == '__main__':
+ text = "啊！但是《原神》是由,米哈\游自主， [研发]的一款全.新开放世界.冒险游戏。"
+ text = text_normalize(text)
+ print(text)
+ phones, tones, word2ph = g2p(text)
+
+ print(phones, tones, word2ph)
+ bert = get_bert_feature(text, word2ph)
+
+ print(bert.shape)
+
+# # 示例用法
+# text = "这是一个示例文本：,你好！这是一个测试...."
+# print(g2p_paddle(text)) # 输出: 这是一个示例文本你好这是一个测试
diff --git a/bert_vits2/text/chinese_v240.py b/bert_vits2/text/chinese_v240.py
new file mode 100644
index 0000000000000000000000000000000000000000..4ea33b6577293fac9ddbf00a76cd263e6fec22ea
--- /dev/null
+++ b/bert_vits2/text/chinese_v240.py
@@ -0,0 +1,211 @@
+import os
+import re
+
+from pypinyin import Style
+from bert_vits2.text.symbols import punctuation
+from bert_vits2.text.tone_sandhi import ToneSandhi
+
+import cn2an
+
+normalizer = lambda x: cn2an.transform(x, "an2cn")
+
+current_file_path = os.path.dirname(__file__)
+pinyin_to_symbol_map = {
+ line.split("\t")[0]: line.strip().split("\t")[1]
+ for line in open(os.path.join(current_file_path, "opencpop-strict.txt")).readlines()
+}
+
+import jieba.posseg as psg
+
+rep_map = {
+ "：": ",",
+ "；": ",",
+ "，": ",",
+ "。": ".",
+ "！": "!",
+ "？": "?",
+ "\n": ".",
+ "·": ",",
+ "、": ",",
+ "...": "…",
+ "$": ".",
+ "“": "'",
+ "”": "'",
+ '"': "'",
+ "‘": "'",
+ "’": "'",
+ "（": "'",
+ "）": "'",
+ "(": "'",
+ ")": "'",
+ "《": "'",
+ "》": "'",
+ "【": "'",
+ "】": "'",
+ "[": "'",
+ "]": "'",
+ "—": "-",
+ "～": "-",
+ "~": "-",
+ "「": "'",
+ "」": "'",
+}
+
+tone_modifier = ToneSandhi()
+
+
+def replace_punctuation(text):
+ text = text.replace("嗯", "恩").replace("呣", "母")
+ pattern = re.compile("|".join(re.escape(p) for p in rep_map.keys()))
+
+ replaced_text = pattern.sub(lambda x: rep_map[x.group()], text)
+
+ replaced_text = re.sub(
+ r"[^\u4e00-\u9fa5" + "".join(punctuation) + r"]+", "", replaced_text
+ )
+
+ return replaced_text
+
+
+def g2p(text, pinyinPlus=None, **kwargs):
+ pattern = r"(?<=[{0}])\s*".format("".join(punctuation))
+ sentences = [i for i in re.split(pattern, text) if i.strip() != ""]
+ phones, tones, word2ph = _g2p(sentences, pinyinPlus)
+ assert sum(word2ph) == len(phones)
+ assert len(word2ph) == len(text) # Sometimes it will crash,you can add a try-catch.
+ phones = ["_"] + phones + ["_"]
+ tones = [0] + tones + [0]
+ word2ph = [1] + word2ph + [1]
+ return phones, tones, word2ph
+
+
+def _get_initials_finalsV2(word, orig_initials, orig_finals):
+ initials = []
+ finals = []
+ for c, v in zip(orig_initials, orig_finals):
+ initials.append(c)
+ finals.append(v)
+ return initials, finals
+
+
+def _g2p(segments, pinyinPlus, **kwargs):
+ phones_list = []
+ tones_list = []
+ word2ph = []
+ for seg in segments:
+ # Replace all English words in the sentence
+
+ seg = re.sub("[a-zA-Z]+", "", seg)
+
+ seg_cut = psg.lcut(seg)
+ initials = []
+ finals = []
+ seg_cut = tone_modifier.pre_merge_for_modify(seg_cut)
+ allWords = ""
+ for word, pos in seg_cut:
+ allWords = allWords + word
+
+ orig_initials = pinyinPlus.lazy_pinyin(
+ allWords, neutral_tone_with_five=True, style=Style.INITIALS
+ )
+ orig_finals = pinyinPlus.lazy_pinyin(
+ allWords, neutral_tone_with_five=True, style=Style.FINALS_TONE3
+ )
+ currentIndex = 0
+ for word, pos in seg_cut:
+ curr_orig_initials = orig_initials[currentIndex: currentIndex + len(word)]
+ curr_orig_finalss = orig_finals[currentIndex: currentIndex + len(word)]
+ currentIndex = currentIndex + len(word)
+ if pos == "eng":
+ continue
+ sub_initials, sub_finals = _get_initials_finalsV2(
+ word, curr_orig_initials, curr_orig_finalss
+ )
+ sub_finals = tone_modifier.modified_tone(word, pos, sub_finals)
+ initials.append(sub_initials)
+ finals.append(sub_finals)
+
+ # assert len(sub_initials) == len(sub_finals) == len(word)
+ initials = sum(initials, [])
+ finals = sum(finals, [])
+ #
+ for c, v in zip(initials, finals):
+ raw_pinyin = c + v
+ # NOTE: post process for pypinyin outputs
+ # we discriminate i, ii and iii
+ if c == v:
+ assert c in punctuation
+ phone = [c]
+ tone = "0"
+ word2ph.append(1)
+ else:
+ v_without_tone = v[:-1]
+ tone = v[-1]
+
+ pinyin = c + v_without_tone
+ assert tone in "12345"
+
+ if c:
+ # 多音节
+ v_rep_map = {
+ "uei": "ui",
+ "iou": "iu",
+ "uen": "un",
+ }
+ if v_without_tone in v_rep_map.keys():
+ pinyin = c + v_rep_map[v_without_tone]
+ else:
+ # 单音节
+ pinyin_rep_map = {
+ "ing": "ying",
+ "i": "yi",
+ "in": "yin",
+ "u": "wu",
+ }
+ if pinyin in pinyin_rep_map.keys():
+ pinyin = pinyin_rep_map[pinyin]
+ else:
+ single_rep_map = {
+ "v": "yu",
+ "e": "e",
+ "i": "y",
+ "u": "w",
+ }
+ if pinyin[0] in single_rep_map.keys():
+ pinyin = single_rep_map[pinyin[0]] + pinyin[1:]
+
+ assert pinyin in pinyin_to_symbol_map.keys(), (pinyin, seg, raw_pinyin)
+ phone = pinyin_to_symbol_map[pinyin].split(" ")
+ word2ph.append(len(phone))
+
+ phones_list += phone
+ tones_list += [int(tone)] * len(phone)
+ return phones_list, tones_list, word2ph
+
+
+def text_normalize(text):
+ text = normalizer(text)
+ text = replace_punctuation(text)
+ return text
+
+
+def get_bert_feature(text, word2ph):
+ from bert_vits2.text import chinese_bert_extra as chinese_bert
+
+ return chinese_bert.get_bert_feature(text, word2ph)
+
+
+if __name__ == "__main__":
+ from bert_vits2.text.chinese_bert import get_bert_feature
+
+ text = "欸，这个「勾玉」的形状，是不是和那边门上的凹槽很像？"
+ text = text_normalize(text)
+ print(text)
+ phones, tones, word2ph = g2p(text)
+ bert = get_bert_feature(text, word2ph)
+
+ print(phones, tones, word2ph, bert.shape)
+
+# # 示例用法
+# text = "这是一个示例文本：,你好！这是一个测试...."
+# print(g2p_paddle(text)) # 输出: 这是一个示例文本你好这是一个测试
diff --git a/bert_vits2/text/cleaner.py b/bert_vits2/text/cleaner.py
new file mode 100644
index 0000000000000000000000000000000000000000..52ef399649ef985aed5bb19a6dce29ec3fe52d30
--- /dev/null
+++ b/bert_vits2/text/cleaner.py
@@ -0,0 +1,53 @@
+from bert_vits2.text import chinese, japanese, english, cleaned_text_to_sequence, japanese_v111, chinese_v100, \
+ japanese_v200, english_v200, english_v230, chinese_v240, japanese_extra
+
+language_module_map = {
+ 'zh': chinese,
+ 'ja': japanese,
+ 'en': english,
+ 'ja_v111': japanese_v111,
+ 'zh_v100': chinese_v100,
+ 'ja_v200': japanese_v200,
+ 'en_v200': english_v200,
+ 'en_v230': english_v230,
+ 'zh_v240': chinese_v240,
+ 'ja_extra': japanese_extra,
+}
+
+
+# _loaded_modules = {}
+#
+#
+# def get_language_module(language):
+# if language not in _loaded_modules:
+# module_path = language_module_map.get(language)
+# if not module_path:
+# raise ValueError(f"Unsupported language: {language}")
+#
+# _loaded_modules[language] = importlib.import_module(module_path)
+#
+# return _loaded_modules[language]
+
+
+def clean_text(text, language, tokenizer, pinyinPlus=None):
+ language_module = language_module_map[language]
+ norm_text = language_module.text_normalize(text)
+ phones, tones, word2ph = language_module.g2p(norm_text, tokenizer=tokenizer, pinyinPlus=pinyinPlus)
+ return norm_text, phones, tones, word2ph
+
+
+# def clean_text_bert(text, language, tokenizer):
+# language_module = language_module_map[language]
+# norm_text = language_module.text_normalize(text)
+# phones, tones, word2ph = language_module.g2p(norm_text, tokenizer)
+# bert = language_module.get_bert_feature(norm_text, word2ph)
+# return phones, tones, bert
+
+
+def text_to_sequence(text, language, tokenizer):
+ norm_text, phones, tones, word2ph = clean_text(text, language, tokenizer)
+ return cleaned_text_to_sequence(phones, tones, language)
+
+
+if __name__ == '__main__':
+ pass
diff --git a/bert_vits2/text/cmudict.rep b/bert_vits2/text/cmudict.rep
new file mode 100644
index 0000000000000000000000000000000000000000..eb2199d15167088b38044939acd779dcf8e334c1
--- /dev/null
+++ b/bert_vits2/text/cmudict.rep
@@ -0,0 +1,129530 @@
+## Date: August 8, 1998
+##
+## The Carnegie Mellon Pronouncing Dictionary [cmudict.0.6] is Copyright 1998
+## by Carnegie Mellon University. Use of this dictionary, for any research or
+## commercial purpose, is completely unrestricted. If you make use of or
+## redistribute this material, we would appreciate acknowlegement of its
+## origin.
+##
+## cmudict.0.6 is the fifth release of cmudict, first released as cmudict.0.1
+## in September of 1993. There was no generally available public release
+## of version 0.5.
+##
+## See the README in this directory before you use this dictionary.
+##
+## Thanks to Bill Huggins at BBN; Bill Fisher at NIST; Alex Hauptman,
+## Alex Rudnicky, Jack Mostow, Roni Rosenfeld, Richard Stern,
+## Matthew Siegler, Kevin Lenzo, Maxine Eskenazi, Mosur Ravishankar,
+## Eric Thayer, Kristie Seymore, and Raj Reddy at CMU; Lin Chase at
+## LIMSI; Doug Paul at MIT Lincoln Labs; Ben Serridge at MIT SLS; Murray
+## Spiegel at Bellcore; Tony Robinson at Cambridge UK; David Bowness of
+## CAE Electronics Ltd. and CRIM; Stephen Hocking; Jerry Quinn at BNR
+## Canada, and Marshal Midden for bringing to our attention problems and
+## inadequacies with the first releases. Most special thanks to Bob Weide
+## for all his work on prior versions of the dictionary.
+##
+## We welcome input from users and will continue to acknowledge such input
+## in subsequent releases. If I failed to acknowledge your input in this
+## release, please remind me and I will update these comments. If I failed to
+## fix things that you brought to my attention, please remind me and have
+## patience. If I actually fixed things that you brought to my attention and
+## you appreciate it, I wouldn't mind a pat on the back.
+##
+## This version differs from previous releases of cmudict most significantly
+## in the addition of new words from the common ARPA tasks for 1996 and 1997.
+##
+## There are undoubtedly still errors and inconsistencies in this dictionary
+## so keep your eyes open for problems and mail them to me.
+##
+## We hope this dictionary is an improvement over cmudict.0.4.
+##
+## email: cmudict@cs.cmu.edu
+## web: http://www.speech.cs.cmu.edu/cgi-bin/cmudict
+## ftp: ftp://ftp.cs.cmu.edu/project/speech/dict/
+##
+## Thank you for your continued interest in the CMU Pronouncing
+## Dictionary. Further addictions and improvements are planned
+## for forthcoming releases.
+##
+!EXCLAMATION-POINT EH2 K - S K L AH0 - M EY1 - SH AH0 N - P OY2 N T
+"CLOSE-QUOTE K L OW1 Z - K W OW1 T
+"DOUBLE-QUOTE D AH1 - B AH0 L - K W OW1 T
+"END-OF-QUOTE EH1 N - D AH0 V - K W OW1 T
+"END-QUOTE EH1 N D - K W OW1 T
+"IN-QUOTES IH1 N - K W OW1 T S
+"QUOTE K W OW1 T
+"UNQUOTE AH1 N - K W OW1 T
+#SHARP-SIGN SH AA1 R P - S AY1 N
+%PERCENT P ER0 - S EH1 N T
+&ERSAND AE1 M - P ER0 - S AE2 N D
+'CAUSE K AH0 Z
+'COURSE K AO1 R S
+'EM AH0 M
+'END-INNER-QUOTE EH1 N - D IH1 - N ER0 - K W OW1 T
+'END-QUOTE EH1 N D - K W OW1 T
+'INNER-QUOTE IH1 - N ER0 - K W OW1 T
+'M AH0 M
+'N AH0 N
+'QUOTE K W OW1 T
+'S EH1 S
+'SINGLE-QUOTE S IH1 NG - G AH0 L - K W OW1 T
+'TIL T IH1 L
+'TIS T IH1 Z
+'TWAS T W AH1 Z
+(BEGIN-PARENS B IH0 - G IH1 N - P ER0 - EH1 N Z
+(IN-PARENTHESES IH1 N - P ER0 - EH1 N - TH AH0 - S IY2 Z
+(LEFT-PAREN L EH1 F T - P ER0 - EH1 N
+(OPEN-PARENTHESES OW1 - P AH0 N - P ER0 - EH1 N - TH AH0 - S IY2 Z
+(PAREN P ER0 - EH1 N
+(PARENS P ER0 - EH1 N Z
+(PARENTHESES P ER0 - EH1 N - TH AH0 - S IY2 Z
+)CLOSE-PAREN K L OW1 Z - P ER0 - EH1 N
+)CLOSE-PARENTHESES K L OW1 Z - P ER0 - EH1 N - TH AH0 - S IY2 Z
+)END-PAREN EH1 N D - P ER0 - EH1 N
+)END-PARENS EH1 N D - P ER0 - EH1 N Z
+)END-PARENTHESES EH1 N D - P ER0 - EH1 N - TH AH0 - S IY2 Z
+)END-THE-PAREN EH1 N D - DH AH0 - P ER0 - EH1 N
+)PAREN P ER0 - EH1 N
+)PARENS P ER0 - EH1 N Z
+)RIGHT-PAREN R AY1 T - P ER0 - EH1 N
+)RIGHT-PAREN(2) R AY1 T - P EH1 - R AH0 N
+)UN-PARENTHESES AH1 N - P ER0 - EH1 N - TH AH0 - S IY1 Z
+,COMMA K AA1 - M AH0
+-DASH D AE1 SH
+-HYPHEN HH AY1 - F AH0 N
+...ELLIPSIS IH0 - L IH1 P - S IH0 S
+.DECIMAL D EH1 - S AH0 - M AH0 L
+.DOT D AA1 T
+.FULL-STOP F UH1 L - S T AA1 P
+.PERIOD P IH1 - R IY0 - AH0 D
+.POINT P OY1 N T
+/SLASH S L AE1 SH
+0MALEFACTORS M AE1 - L AH0 - F AE2 K - T ER0 Z
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+BANJA B AA1 - N Y AH0
+BANJO B AE1 N - JH OW2
+BANK B AE1 NG K
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+BANKABLE B AE1 NG - K AH0 - B AH0 L
+BANKAMERICA B AE2 NG - K AH0 - M EH1 - R IH0 - K AH0
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+BANKRUPT B AE1 NG - K R AH0 P T
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+BANKRUPTED B AE1 NG - K R AH0 P - T IH0 D
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+BANKS B AE1 NG K S
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+BANN B AE1 N
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+BANNISTER B AE1 - N AH0 - S T ER0
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+BANPAIS B AE2 N - P EY1
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+BANQUE B AE1 NG K
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+BANTA B AE1 N - T AH0
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+BANWART B AE1 N - W AO2 R T
+BANXQUOTE B AE0 NG K - S K W OW1 T
+BANYA B AA1 - N Y AH0
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+BANYALUCA B AE1 - N Y AH0 - L UW2 - K AH0
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+BAO B AW1
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+BAPLEY B AE1 P - L IY0
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+BAPTISM B AE1 P - T IH0 - Z AH0 M
+BAPTISMAL B AE0 P - T IH1 Z - M AH0 L
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+BAPTISTA B AE2 P - T IH1 - S T AH0
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+BAPTISTERY B AE1 P - T AH0 S - T R IY0
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+BAPTIZED B AE0 P - T AY1 Z D
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+BAR B AA1 R
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+BARA B AA1 - R AH0
+BARABAR B EH1 - R AH0 - B AA0 R
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+BARAFF B AA0 - R AA1 F
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+BARANSKI B ER0 - AE1 N S - K IY0
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+BARASCH B AE1 - R AH0 SH
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+BARB B AA1 R B
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+BARBAGALLO B AA2 R - B AH0 - G AE1 - L OW0
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+BARBARIAN B AA0 R - B EH1 - R IY0 - AH0 N
+BARBARIANS B AA0 R - B EH1 - R IY0 - AH0 N Z
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+BARBARIC(2) B AA0 R - B EH1 - R IH0 K
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+BARBARISM B AA1 R - B ER0 - IH2 - Z AH0 M
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+BARBAROUS B AA1 R - B ER0 - AH0 S
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+BARBED B AA1 R B D
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+BARBIER B AA1 R - B IY0 - ER0
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+BARBITURATE B AA0 R - B IH1 - CH ER0 - AH0 T
+BARBITURATES B AA0 R - B IH1 - CH ER0 - AH0 T S
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+BARCLAYS'(2) B AA1 R K - L EY0 Z
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+CONSTANTINE K AA1 N - S T AH0 N - T IY2 N
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+CONSTANTINO K AA2 N - S T AH0 N - T IY1 - N OW0
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+CONSTITUENT K AH0 N - S T IH1 - CH UW0 - AH0 N T
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+CONSULTANTS K AH0 N - S AH1 L - T AH0 N T S
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+CONSUMMATE K AA1 N - S AH0 - M AH0 T
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+CONSUMMATED K AA1 N - S AH0 - M EY2 - T AH0 D
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+CONSUMMATION K AA2 N - S AH0 - M EY1 - SH AH0 N
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+CONTAC K AA1 N - T AE0 K
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+CONTACTED K AA1 N - T AE2 K - T IH0 D
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+CONTAINER'S K AH0 N - T EY1 - N ER0 Z
+CONTAINERBOARD K AH0 N - T EY1 - N ER0 - B AO2 R D
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+CONTAINERIZED K AH0 N - T EY1 - N ER0 - AY2 Z D
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+CONTAINERS' K AH0 N - T EY1 - N ER0 Z
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+CONTAINMENT K AH0 N - T EY1 N - M AH0 N T
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+CONTAMINANT K AH0 N - T AE1 - M AH0 - N AH0 N T
+CONTAMINANTS K AH0 N - T AE1 - M AH0 - N AH0 N T S
+CONTAMINATE K AH0 N - T AE1 - M AH0 - N EY2 T
+CONTAMINATED K AH0 N - T AE1 - M AH0 - N EY2 - T AH0 D
+CONTAMINATED(2) K AH0 N - T AE1 - M AH0 - N EY2 - T IH0 D
+CONTAMINATES K AH0 N - T AE1 - M AH0 - N EY2 T S
+CONTAMINATING K AH0 N - T AE1 - M AH0 - N EY2 - T IH0 NG
+CONTAMINATION K AH0 N - T AE2 - M AH0 - N EY1 - SH AH0 N
+CONTANT K AA1 N - T AH0 N T
+CONTE K AO1 N T
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+CONTEMPLATE K AA1 N - T AH0 M - P L EY2 T
+CONTEMPLATED K AA1 N - T AH0 M - P L EY2 - T IH0 D
+CONTEMPLATES K AA1 N - T AH0 M - P L EY2 T S
+CONTEMPLATING K AA1 N - T AH0 M - P L EY2 - T IH0 NG
+CONTEMPLATION K AA2 N - T AH0 M - P L EY1 - SH AH0 N
+CONTEMPLATIVE K AH0 N - T EH1 M - P L AH0 - T IH0 V
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+CONTEMPORANEOUS K AH0 N - T EH2 M - P ER0 - EY1 - N IY0 - AH0 S
+CONTEMPORANEOUSLY K AH0 N - T EH2 M - P ER0 - EY1 - N IY0 - AH0 S - L IY0
+CONTEMPORARIES K AH0 N - T EH1 M - P ER0 - EH2 - R IY0 Z
+CONTEMPORARY K AH0 N - T EH1 M - P ER0 - EH2 - R IY0
+CONTEMPT K AH0 N - T EH1 M P T
+CONTEMPTIBLE K AH0 N - T EH1 M P - T AH0 - B AH0 L
+CONTEMPTUOUS K AH0 N - T EH1 M P - CH UW0 - AH0 S
+CONTEMPTUOUSLY K AH0 N - T EH1 M P - CH W AH0 S - L IY0
+CONTEND K AH0 N - T EH1 N D
+CONTENDED K AH0 N - T EH1 N - D IH0 D
+CONTENDER K AH0 N - T EH1 N - D ER0
+CONTENDERS K AH0 N - T EH1 N - D ER0 Z
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+CONTENT(2) K AH0 N - T EH1 N T
+CONTENTED K AH0 N - T EH1 N - T AH0 D
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+CONTENTEDLY K AH0 N - T EH1 N - T AH0 D - L IY0
+CONTENTION K AH0 N - T EH1 N - SH AH0 N
+CONTENTIONED K AH0 N - T EH1 N - SH AH0 N D
+CONTENTIONS K AH0 N - T EH1 N - SH AH0 N Z
+CONTENTIOUS K AH0 N - T EH1 N - SH AH0 S
+CONTENTIOUSNESS K AH0 N - T EH1 N - SH AH0 S - N AH0 S
+CONTENTMENT K AH0 N - T EH1 N T - M AH0 N T
+CONTENTO K AH0 N - T EH1 N - T OW0
+CONTENTS K AA1 N - T EH0 N T S
+CONTENTS(2) K AH0 N - T EH1 N T S
+CONTEST K AA1 N - T EH0 S T
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+CONTEST(2) K AH0 N - T EH1 S T
+CONTESTABLE K AH0 N - T EH1 - S T AH0 - B AH0 L
+CONTESTANT K AH0 N - T EH1 - S T AH0 N T
+CONTESTANTS K AH0 N - T EH1 - S T AH0 N T S
+CONTESTED K AH0 N - T EH1 - S T AH0 D
+CONTESTING K AH0 N - T EH1 - S T IH0 NG
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+CONTESTS(3) K AA1 N - T EH0 S S
+CONTESTS(4) K AH0 N - T EH1 S S
+CONTESTS(5) K AA1 N - T EH0 S
+CONTESTS(6) K AH0 N - T EH1 S
+CONTEXT K AA1 N - T EH0 K S T
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+CONTI K AA1 N - T IY0
+CONTIBEL K AA1 N - T IH0 - B AH0 L
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+CONTIGUOUS K AH0 N - T IH1 - G Y UW0 - AH0 S
+CONTINENT K AA1 N - T AH0 - N AH0 N T
+CONTINENT'S K AA1 N - T AH0 - N AH0 N T S
+CONTINENTAL K AA2 N - T AH0 - N EH1 N - T AH0 L
+CONTINENTAL'S K AA2 N - T AH0 - N EH1 N - T AH0 L Z
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+CONTINENTALLY K AA2 N - T AH0 - N EH1 N - T AH0 - L IY0
+CONTINENTALLY(2) K AA2 N - T AH0 - N EH1 - N AH0 - L IY0
+CONTINENTALS K AA2 N - T AH0 - N EH1 N - T AH0 L Z
+CONTINENTALS(2) K AA2 N - T AH0 - N EH1 - N AH0 L Z
+CONTINENTS K AA1 N - T AH0 - N AH0 N T S
+CONTINGENCIES K AH0 N - T IH1 N - JH AH0 N - S IY0 Z
+CONTINGENCY K AH0 N - T IH1 N - JH AH0 N - S IY0
+CONTINGENT K AH0 N - T IH1 N - JH AH0 N T
+CONTINGENTS K AH0 N - T IH1 N - JH AH0 N T S
+CONTINI K AH0 N - T IY1 - N IY0
+CONTINO K AA0 N - T IY1 - N OW0
+CONTINUAL K AH0 N - T IH1 - N Y UW0 - AH0 L
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+CONTINUANCE K AH0 N - T IH1 - N Y UW0 - AH0 N S
+CONTINUANCES K AH0 N - T IH1 - N Y UW0 - AH0 N - S IH0 Z
+CONTINUATION K AH0 N - T IH2 - N Y UW0 - EY1 - SH AH0 N
+CONTINUE K AH0 N - T IH1 - N Y UW0
+CONTINUED K AH0 N - T IH1 - N Y UW0 D
+CONTINUES K AH0 N - T IH1 - N Y UW0 Z
+CONTINUING K AH0 N - T IH1 - N Y UW0 - IH0 NG
+CONTINUITY K AA2 N - T AH0 - N UW1 - AH0 - T IY0
+CONTINUOUS K AH0 N - T IH1 - N Y UW0 - AH0 S
+CONTINUOUSLY K AH0 N - T IH1 - N Y UW0 - AH0 S - L IY0
+CONTINUUM K AH0 N - T IH1 - N Y UW0 - AH0 M
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+CONTORT K AH0 N - T AO1 R T
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+CONTOUR K AA1 N - T UH2 R
+CONTOURED K AA1 N - T UH2 R D
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+CONTRACEPTION K AA2 N - T R AH0 - S EH1 P - SH AH0 N
+CONTRACEPTIVE K AA2 N - T R AH0 - S EH1 P - T IH0 V
+CONTRACEPTIVES K AA2 N - T R AH0 - S EH1 P - T IH0 V Z
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+CONTRACTORS K AA1 N - T R AE2 K - T ER0 Z
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+CONTRADICTED K AA2 N - T R AH0 - D IH1 K - T AH0 D
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+CONTRADICTION K AA2 N - T R AH0 - D IH1 K - SH AH0 N
+CONTRADICTIONS K AA2 N - T R AH0 - D IH1 K - SH AH0 N Z
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+CONTRADICTORY K AA2 N - T R AH0 - D IH1 K - T ER0 - IY0
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+CONTRARIAN K AA2 N - T R EH1 - R IY0 - AH0 N
+CONTRARIANS K AH0 N - T R EH1 - R IY0 - AH0 N Z
+CONTRARINESS K AA1 N - T R EH0 - R IY0 - N AH0 S
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+CONTRAST(2) K AH0 N - T R AE1 S T
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+CONTRASTS(4) K AH0 N - T R AE1 S S
+CONTRASTS(5) K AA1 N - T R AE0 S
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+CONTRIBUTED K AH0 N - T R IH1 - B Y UW0 - T IH0 D
+CONTRIBUTES K AH0 N - T R IH1 - B Y UW0 T S
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+CONTRIBUTION K AA2 N - T R AH0 - B Y UW1 - SH AH0 N
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+CONTRIBUTOR K AH0 N - T R IH1 - B Y AH0 - T ER0
+CONTRIBUTORS K AH0 N - T R IH1 - B Y AH0 - T ER0 Z
+CONTRIBUTORY K AH0 N - T R IH1 - B Y AH0 - T AO2 - R IY0
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+DISCONNECTION D IH2 S - K AH0 - N EH1 K - SH AH0 N
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+DISCONTENTED D IH2 S - K AH0 N - T EH1 N - T IH0 D
+DISCONTENTS D IH2 S - K AH0 N - T EH1 N T S
+DISCONTINUANCE D IH2 S - K AH0 N - T IH1 - N Y UW0 - AH0 N S
+DISCONTINUATION D IH2 S - K AH0 N - T IH2 - N Y UW0 - EY1 - SH AH0 N
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+DISCOVERY(2) D IH0 - S K AH1 - V R IY0
+DISCOVERY(2) D IH2 - S K AH1 - V R IY0
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+DISCREPANCY D IH0 - S K R EH1 - P AH0 N - S IY0
+DISCRETE D IH0 - S K R IY1 T
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+DISCRIMINATE D IH0 - S K R IH1 - M AH0 - N EY2 T
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+DISCUS D IH1 - S K AH0 S
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+DISCUSSES D IH0 - S K AH1 - S AH0 Z
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+DISCUSSING D IH0 - S K AH1 - S IH0 NG
+DISCUSSION D IH0 - S K AH1 - SH AH0 N
+DISCUSSIONS D IH0 - S K AH1 - SH AH0 N Z
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+DISEASES D IH0 - Z IY1 - Z AH0 Z
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+DISEMBARK D IH0 S - EH0 M - B AA1 R K
+DISEMBARKATION D IH0 S - EH2 M - B AA0 R - K EY1 - SH AH0 N
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+DISENGAGE D IH0 S - IH0 N - G EY1 JH
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+DISENTANGLE D IH2 S - AH0 N - T AE1 NG - G AH0 L
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+DISHWASHER D IH1 SH - W AA2 - SH ER0
+DISHWASHERS D IH1 SH - W AA2 - SH ER0 Z
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+DISILLUSION D IH2 S - IH0 - L UW1 - ZH AH0 N
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+DISILVESTRO D IH0 - S IY0 L - V EH1 - S T R OW0
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+DISINCENTIVES D IH2 S - IH0 N - S EH1 N - T IH0 V Z
+DISINCLINATION D IH0 S - IH0 N - K L AH0 - N EY1 - SH AH0 N
+DISINCLINE D IH2 S - IH0 N - K L AY1 N
+DISINCLINED D IH2 S - IH0 N - K L AY1 N D
+DISINFECT D IH0 S - IH0 N - F EH1 K T
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+DISINFECTANTS D IH0 S - IH0 N - F EH1 K - T AH0 N T S
+DISINFECTION D IH0 S - IH0 N - F EH1 K - SH AH0 N
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+DISINFORM D IH0 S - IH0 N - F AO1 R M
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+DISINTEGRATE D IH0 S - IH1 N - T AH0 - G R EY2 T
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+DISINVITE D IH0 - S IH0 N - V AY1 T
+DISINVITED D IH2 - S IH2 N - V AY1 - T IH0 D
+DISJOINT D IH0 S - JH OY1 N T
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+HANDELSBANK HH AE1 N - D AH0 L Z - B AE2 NG K
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+HANGIN' HH AE1 NG - G IH0 N
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+HANIFEN HH AE1 - N IH0 - F AH0 N
+HANIFIN HH AE1 - N IH0 - F IH0 N
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+HANISCH HH AE1 - N IH0 SH
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+HANJIN HH AE1 N - JH IH0 N
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+HANKEL HH AE1 NG - K AH0 L
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+HANKERING HH AE1 NG - K ER0 - IH0 NG
+HANKERSON HH AE1 NG - K ER0 - S AH0 N
+HANKES HH AE1 NG K S
+HANKEY HH AE1 NG - K IY0
+HANKIN HH AE1 NG - K IH0 N
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+HANKINSON HH AE1 NG - K IH0 N - S AH0 N
+HANKLA HH AE1 NG - K L AH0
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+HANLIN HH AE1 N - L IH0 N
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+HANN HH AE1 N
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+HANNAGAN HH AE1 - N AH0 - G AE0 N
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+HANNAM HH AE1 - N AH0 M
+HANNAMAN HH AE1 - N AH0 - M AH0 N
+HANNAN HH AE1 - N AH0 N
+HANNAY HH AE1 - N EY0
+HANNEKEN HH AE1 - N IH0 - K AH0 N
+HANNEMAN HH AE1 N - M AH0 N
+HANNEMANN HH AE1 N - M AH0 N
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+HANNES HH AE1 N Z
+HANNESSON HH AE1 - N AH0 - S AH0 N
+HANNEY HH AE1 - N IY0
+HANNI HH AE1 - N IY0
+HANNIBAL HH AE1 - N IH0 - B AH0 L
+HANNIE HH AE1 - N IY0
+HANNIFIN HH AE1 - N IH0 - F IH0 N
+HANNIG HH AE1 - N IH0 G
+HANNIGAN HH AE1 - N IH0 - G AH0 N
+HANNING HH AE1 - N IH0 NG
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+HANNON HH AE1 - N AH0 N
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+HANOVER'S HH AE1 - N OW0 - V ER0 Z
+HANOVERIAN HH AE2 - N OW0 - V IH1 - R IY0 - AH0 N
+HANRAHAN HH AE1 N - R AH0 - HH AE0 N
+HANRATTY HH AE1 - N R AH0 - T IY0
+HANS HH AA1 N S
+HANS(2) HH AE1 N Z
+HANSA HH AE1 N - S AH0
+HANSARD HH AE1 N - S ER0 D
+HANSBERGER HH AE1 N S - B ER0 - G ER0
+HANSBERRY HH AE1 N S - B EH2 - R IY0
+HANSBROUGH HH AE1 N S - B R AW0
+HANSBURY HH AE1 N S - B EH0 - R IY0
+HANSCHE HH AE1 N - SH IY0
+HANSCOM HH AE1 N S - K AH0 M
+HANSEATIC HH AE2 N - S IY0 - AE1 - T IH0 K
+HANSEL HH AE1 N - S AH0 L
+HANSELL HH AE1 N - S AH0 L
+HANSELMAN HH AE1 N - S AH0 L - M AH0 N
+HANSEN HH AE1 N - S AH0 N
+HANSEN'S HH AE1 N - S AH0 N Z
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+HANSFORD HH AE1 N S - F ER0 D
+HANSHAW HH AE1 N - SH AO2
+HANSHEW HH AE1 N - SH UW0
+HANSHIN HH AE1 N - SH IH0 N
+HANSLEY HH AE1 N S - L IY0
+HANSMAN HH AE1 N S - M AH0 N
+HANSMANN HH AE1 N S - M AH0 N
+HANSOM HH AE1 N - S AH0 M
+HANSON HH AE1 N - S AH0 N
+HANSON'S HH AE1 N - S AH0 N Z
+HANSSEN HH AE1 N - S AH0 N
+HANSSON HH AE1 N - S AH0 N
+HANTA HH AE1 N - T AH0
+HANTA(2) HH AA1 N - T AH0
+HANTAVIRUS HH AE1 N - T AH0 - V AY2 - R AH0 S
+HANTEN HH AE1 N - T AH0 N
+HANTHORN HH AE1 N - TH ER0 N
+HANTMAN HH AE1 N T - M AH0 N
+HANTZ HH AE1 N T S
+HANUKKAH HH AA1 - N AH0 - K AH0
+HANUKKAH'S HH AA1 - N AH0 - K AH0 Z
+HANUKKAHS HH AA1 - N AH0 - K AH0 Z
+HANUS HH EY1 - N IH0 S
+HANVEY HH AE1 N - V IY0
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+HANWAY HH AE1 N - W EY2
+HANY HH EY1 - N IY0
+HANY'S HH EY1 - N IY0 Z
+HANZEL HH AE1 N - Z AH0 L
+HANZLIK HH AE1 N Z - L IH0 K
+HAO HH AW1
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+HAP HH AE1 P
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+HAPEMAN HH EY1 P - M AH0 N
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+HAPHAZARD HH AE0 P - HH AE1 - Z ER0 D
+HAPHAZARDLY HH AE1 F - AH0 - Z ER0 D - L IY0
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+HAPLOID HH AE1 - P L OY0 D
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+HAPPENINGS HH AE1 - P AH0 - N IH0 NG Z
+HAPPENINGS(2) HH AE1 P - N IH0 NG Z
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+HAPPENSTANCE HH AE1 - P AH0 N - S T AE2 N S
+HAPPIER HH AE1 - P IY0 - ER0
+HAPPIEST HH AE1 - P IY0 - AH0 S T
+HAPPILY HH AE1 - P AH0 - L IY0
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+HAPPY HH AE1 - P IY0
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+HARALDA HH AA0 - R AA1 L - D AH0
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+HARAN HH AE1 - R AH0 N
+HARANGUE HH ER0 - AE1 NG
+HARANGUED HH ER0 - AE1 NG D
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+HARANGUING HH ER0 - AE1 - NG IH0 NG
+HARARE HH ER0 - AA1 - R IY0
+HARASS HH ER0 - AE1 S
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+HARASSER HH ER0 - AE1 - S ER0
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+HARASSING HH ER0 - AE1 - S IH0 NG
+HARASSMENT HH ER0 - AE1 S - M AH0 N T
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+HARB HH AA1 R B
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+HARBINGERS HH AA1 R - B IH0 NG - ER0 Z
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+HARLE HH AA1 - R AH0 L
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+HARLEM'S HH AA1 R - L AH0 M Z
+HARLEMAN HH AA1 - R AH0 L - M AH0 N
+HARLEQUIN HH AA1 R - L AH0 - K W AH0 N
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+HARLEY HH AA1 R - L IY0
+HARLEY'S HH AA1 R - L IY0 Z
+HARLEYSVILLE HH AA1 R - L IY0 Z - V IH2 L
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+HARLIN'S HH AA1 R - L IH0 N Z
+HARLING HH AA1 R - L IH0 NG
+HARLINGEN HH AA1 R - L IH0 - NG AH0 N
+HARLISON HH AA1 R - L IH0 - S AH0 N
+HARLOFF HH AA1 R - L AO0 F
+HARLOT HH AA1 R - L AH0 T
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+HARM HH AA1 R M
+HARM'S HH AA1 R M Z
+HARMAN HH AA1 R - M AH0 N
+HARMATA HH AA0 R - M AA1 - T AH0
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+HARMED HH AA1 R M D
+HARMEL HH AA1 R - M AH0 L
+HARMENING HH AA1 R - M AH0 - N IH0 NG
+HARMER HH AA1 R - M ER0
+HARMES HH AA1 R M Z
+HARMETZ HH AA1 R - M EH2 T S
+HARMEYER HH AA1 R - M AY2 - ER0
+HARMFUL HH AA1 R M - F AH0 L
+HARMFULNESS HH AA1 R M - F AH0 L - N AH0 S
+HARMING HH AA1 R - M IH0 NG
+HARMISON HH AA1 R - M IH0 - S AH0 N
+HARMLESS HH AA1 R M - L AH0 S
+HARMLESSLY HH AA1 R M - L AH0 S - L IY0
+HARMON HH AA1 R - M AH0 N
+HARMON'S HH AA1 R - M AH0 N Z
+HARMONIA HH AA0 R - M OW1 - N IY0 - AH0
+HARMONIC HH AA0 R - M AA1 - N IH0 K
+HARMONICA HH AA0 R - M AA1 - N IH0 - K AH0
+HARMONICS HH AA0 R - M AA1 - N IH0 K S
+HARMONIE HH AA1 R - M AH0 - N IY0
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+HARMONIOUS HH AA0 R - M OW1 - N IY0 - AH0 S
+HARMONIOUSLY HH AA0 R - M OW1 - N IY0 - AH0 S - L IY0
+HARMONIUM HH AA0 R - M OW1 - N IY0 - AH0 M
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+HARMONIZE HH AA1 R - M AH0 - N AY2 Z
+HARMONIZED HH AA1 R - M AH0 - N AY2 Z D
+HARMONIZING HH AA1 R - M AH0 - N AY2 - Z IH0 NG
+HARMONY HH AA1 R - M AH0 - N IY0
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+HARNESSED HH AA1 R - N AH0 S T
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+HARNESSING HH AA1 R - N AH0 - S IH0 NG
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+HARNISH HH AA1 R - N IH0 SH
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+HARRIS' HH EH1 - R IH0 S
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+HARRISBURG(2) HH EH1 - R IH0 S - B ER0 G
+HARRISON HH EH1 - R IH0 - S AH0 N
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+HARROWING HH EH1 - R OW0 - IH0 NG
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+HARSHEST HH AA1 R - SH AH0 S T
+HARSHFIELD HH AA1 R SH - F IY2 L D
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+HARTER HH AA1 R - T ER0
+HARTFIEL HH AA1 R T - F IY2 L
+HARTFIELD HH AA1 R T - F IY2 L D
+HARTFORD HH AA1 R T - F ER0 D
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+HARTGRAVES HH AA1 R T - G R EY2 V Z
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+HARTH HH AA1 R TH
+HARTIG HH AA1 R - T IH0 G
+HARTIGAN HH AA1 R - T IH0 - G AH0 N
+HARTIN HH AA1 R - T IH0 N
+HARTING HH AA1 R - T IH0 NG
+HARTINGER HH AA1 R - T IH0 - NG ER0
+HARTIS HH AA1 R - T IH0 S
+HARTJE HH AA1 R T - JH EY0
+HARTKE HH AA1 R T - K IY0
+HARTKOPF HH AA1 R T - K AO0 F
+HARTL HH AA1 R - T AH0 L
+HARTLAGE HH AA1 R T - L IH0 JH
+HARTLAND HH AA1 R T - L AH0 N D
+HARTLAUB HH AA1 R T - L AW2 B
+HARTLE HH AA1 R - T AH0 L
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+HARTLEY HH AA1 R T - L IY0
+HARTLIEB HH AA1 R T - L IY2 B
+HARTLINE HH AA1 R T - L AY2 N
+HARTLING HH AA1 R T - L IH0 NG
+HARTMAN HH AA1 R T - M AH0 N
+HARTMANN HH AA1 R T - M AH0 N
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+HARTNETT HH AA1 R T - N IH0 T
+HARTNEY HH AA1 R T - N IY0
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+HARTSFIELD HH AA1 R T S - F IY2 L D
+HARTSHORN HH AA1 R T S - HH AO2 R N
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+HARTSOCK HH AA1 R T - S AH0 K
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+HARTSOOK HH AA1 R T - S UH0 K
+HARTSOUGH HH AA1 R T - S AW0
+HARTSTEIN HH AA1 R T - S T AY2 N
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+HARTSVILLE HH AA1 R T - S V IH0 L
+HARTT HH AA1 R T
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+HARTWICK HH AA1 R T - W IH2 K
+HARTWIG HH AA1 R T - W IH0 K
+HARTWOOD HH AA1 R T - W UH2 D
+HARTY HH AA1 R - T IY0
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+HARTZELL HH AA1 R T - Z AH0 L
+HARTZLER HH AA1 R T - S L ER0
+HARTZOG HH AA1 R T - Z AH0 G
+HARUO HH AA0 - R UW1 - OW0
+HARV HH AA1 R V
+HARVARD HH AA1 R - V ER0 D
+HARVARD'S HH AA1 R - V ER0 D Z
+HARVATH HH AA1 R - V AH0 TH
+HARVE HH AA1 R V
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+HARVELL HH AA1 R - V AH0 L
+HARVEST HH AA1 R - V AH0 S T
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+HARVESTER HH AA1 R - V AH0 - S T ER0
+HARVESTERS HH AA1 R - V AH0 - S T ER0 Z
+HARVESTING HH AA1 R - V AH0 - S T IH0 NG
+HARVESTS HH AA1 R - V AH0 S T S
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+HARVESTS(3) HH AA1 R - V AH0 S
+HARVEY HH AA1 R - V IY0
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+HARVIE HH AA1 R - V IY0
+HARVILL HH AA1 R - V IH0 L
+HARVILLE HH AA1 R - V IH2 L
+HARVIN HH AA1 R - V IH0 N
+HARVISON HH AA1 R - V IH0 - S AH0 N
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+HARWICK HH AA1 R - W IH0 K
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+HAS HH AE1 Z
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+HAS-BEEN HH AE1 Z - B IH2 N
+HAS-BEENS HH AE1 Z - B IH2 N Z
+HASAN HH EY1 - Z AH0 N
+HASBRO HH AE1 Z - B R OW0
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+HASBROOK HH AE1 S - B R UH0 K
+HASBROUCK HH AE1 Z - B R UH2 K
+HASCALL HH AE1 S - K AH0 L
+HASCH HH AE1 SH
+HASCHKE HH AE1 SH K
+HASE HH EY1 Z
+HASEGAWA HH AA2 - S EY0 - G AA1 - W AH0
+HASEK HH AA1 - S EH0 K
+HASELDEN HH AE1 - S IH0 L - D AH0 N
+HASELEY HH AE1 - S IH0 - L IY0
+HASELHORST HH AE1 - S IH0 L - HH AO0 R S T
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+HASENAUER HH AE1 - S IH0 - N AW0 - ER0
+HASENFUS HH EY1 - Z AH0 N - F AH2 S
+HASER HH EH1 - Z ER0
+HASH HH AE1 SH
+HASHAGEN HH AE1 - SH AH0 - G AH0 N
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+HASHEMI HH AH0 - SH EY1 - M IY0
+HASHEMITE HH AE1 - SH AH0 - M AY2 T
+HASHER HH AE1 - SH ER0
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+HASHERS HH AE1 - SH ER0 Z
+HASHES HH AE1 - SH AH0 Z
+HASHI HH AE1 - SH IY0
+HASHIM HH AE1 - SH IH0 M
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+HASHING HH AE1 - SH IH0 NG
+HASHISH HH AE1 - SH IH0 SH
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+HASHMAN HH AE1 SH - M AH0 N
+HASHMI HH AE1 SH - M IY0
+HASHMI(2) HH AA1 SH - M IY0
+HASIDIC HH AH0 - S IH1 - D IH0 K
+HASIDIC(2) HH AH0 - S IY1 - D IH0 K
+HASIDIM HH AH0 - S IH1 - D IH0 M
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+HASS HH AE1 S
+HASSAN HH AH0 - S AA1 N
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+HASSENFELD HH AE1 - S AH0 N - F EH2 L D
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+HASTE HH EY1 S T
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+HASTENING HH EY1 - S AH0 N - IH0 NG
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+HASTILY HH EY1 - S T AH0 - L IY0
+HASTING HH EY1 - S T IH0 NG
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+HASTON HH AE1 - S T AH0 N
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+HAT HH AE1 T
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+HATA HH AA1 - T AH0
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+HATCHERY HH AE1 - CH ER0 - IY0
+HATCHES HH AE1 - CH IH0 Z
+HATCHET HH AE1 - CH AH0 T
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+HATES HH EY1 T S
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+HATHAWAY HH AE1 TH - AH0 - W EY2
+HATHAWAY'S HH AE1 TH - AH0 - W EY2 Z
+HATHCOAT HH AE1 TH - K OW2 T
+HATHCOCK HH AE1 TH - K AH0 K
+HATHEWAY HH EY1 DH - W EY0
+HATHORN HH AA1 - TH AO0 R N
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+PRESCHER P R EH1 - SH ER0
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+PRESCRIBER P R IY0 - S K R AY1 - B ER0
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+PRESCRIBES P R IY0 - S K R AY1 B Z
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+PRESENCE P R EH1 - Z AH0 N S
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+REPUTATIONS R EH2 - P Y AH0 - T EY1 - SH AH0 N Z
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+REQUA R EY1 - K W AH0
+REQUALIFY R IY2 - K W AA1 - L AH0 - F AY2
+REQUEST R IH0 - K W EH1 S T
+REQUEST(2) R IY0 - K W EH1 S T
+REQUESTED R IH0 - K W EH1 - S T IH0 D
+REQUESTED(2) R IY0 - K W EH1 - S T AH0 D
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+REQUESTER R IH0 - K W EH1 - S T ER0
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+REQUESTING(2) R IY0 - K W EH1 - S T IH0 NG
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+REQUESTS(2) R IY0 - K W EH1 S T S
+REQUESTS(3) R IH0 - K W EH1 S S
+REQUESTS(4) R IY0 - K W EH1 S S
+REQUESTS(5) R IH0 - K W EH1 S
+REQUESTS(6) R IY0 - K W EH1 S
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+RESENTMENT R IH0 - Z EH1 N T - M AH0 N T
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+RESET R IY0 - S EH1 T
+RESET(2) R IY1 - S EH0 T
+RESETAR R EH1 - S IH0 - T ER0
+RESETING R IY0 - S EH1 - T IH0 NG
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+RESIDENCE R EH1 - Z IH0 - D AH0 N S
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+RESIDENT R EH1 - Z IH0 - D AH0 N T
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+RESIGNS R IH0 - Z AY1 N Z
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+RESIGNS(3) R IY0 - S AY1 N Z
+RESILIENCE R IH0 - Z IH1 - L IY0 - AH0 N S
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+RESISTANT R IH0 - Z IH1 - S T AH0 N T
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+RESOLUTION R EH2 - Z AH0 - L UW1 - SH AH0 N
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+RESPONDENTS' R IH0 - S P AA1 N - D AH0 N T S
+RESPONDER R IH0 - S P AA1 N - D ER0
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+RESPONDING(2) R IY0 - S P AA1 N - D IH0 NG
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+RESTART R IY0 - S T AA1 R T
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+RESTAURATEURS(2) R EH2 - S T R AH0 - T ER1 Z
+RESTED R EH1 - S T AH0 D
+RESTED(2) R EH1 - S T IH0 D
+RESTER R EH1 - S T ER0
+RESTFUL R EH1 S T - F AH0 L
+RESTING R EH1 - S T IH0 NG
+RESTITUTE R EH1 - S T IH0 - T UW2 T
+RESTITUTION R EH2 - S T IH0 - T UW1 - SH AH0 N
+RESTIVE R EH1 - S T IH0 V
+RESTIVENESS R EH1 - S T IH0 V - N AH0 S
+RESTIVO R EH0 - S T IY1 - V OW0
+RESTLESS R EH1 S T - L AH0 S
+RESTLESSLY R EH1 S T - L AH0 S - L IY0
+RESTLESSNESS R EH1 S T - L AH0 S - N AH0 S
+RESTO R EH1 - S T OW0
+RESTOCK R IY0 - S T AA1 K
+RESTOCKED R IY0 - S T AA1 K T
+RESTOCKING R IY0 - S T AA1 - K IH0 NG
+RESTON R EH1 - S T AH0 N
+RESTORATION R EH2 - S T ER0 - EY1 - SH AH0 N
+RESTORATIONS R EH2 - S T ER0 - EY1 - SH AH0 N Z
+RESTORATIVE R AH0 - S T AO1 - R AH0 - T IH0 V
+RESTORE R IH0 - S T AO1 R
+RESTORED R IH0 - S T AO1 R D
+RESTORER R IH0 - S T AO1 - R ER0
+RESTORES R IH0 - S T AO1 R Z
+RESTORING R IH0 - S T AO1 - R IH0 NG
+RESTRAIN R IY0 - S T R EY1 N
+RESTRAINED R IY0 - S T R EY1 N D
+RESTRAINING R IY0 - S T R EY1 - N IH0 NG
+RESTRAINS R IY0 - S T R EY1 N Z
+RESTRAINT R IH0 - S T R EY1 N T
+RESTRAINT(2) R IY0 - S T R EY1 N T
+RESTRAINTS R IH0 - S T R EY1 N T S
+RESTRAINTS(2) R IY0 - S T R EY1 N T S
+RESTREPO R EH0 - S T R EH1 - P OW0
+RESTRICT R IY0 - S T R IH1 K T
+RESTRICTED R IY0 - S T R IH1 K - T AH0 D
+RESTRICTED(2) R IY0 - S T R IH1 K - T IH0 D
+RESTRICTING R IY0 - S T R IH1 K - T IH0 NG
+RESTRICTION R IY0 S - T R IH1 K - SH AH0 N
+RESTRICTIONS R IY0 S - T R IH1 K - SH AH0 N Z
+RESTRICTIVE R IY0 - S T R IH1 K - T IH0 V
+RESTRICTIVENESS R AH0 - S T R IH1 K - T IH0 V - N AH0 S
+RESTRICTS R IY0 - S T R IH1 K T S
+RESTROOM R EH1 S T - R UW2 M
+RESTROOMS R EH1 S T - R UW2 M Z
+RESTRUCTURE R IY0 - S T R AH1 K - CH ER0
+RESTRUCTURED R IY0 - S T R AH1 K - CH ER0 D
+RESTRUCTURES R IY0 - S T R AH1 K - CH ER0 Z
+RESTRUCTURING R IY0 - S T R AH1 K - CH ER0 - IH0 NG
+RESTRUCTURINGS R IY0 - S T R AH1 K - CH ER0 - IH0 NG Z
+RESTS R EH1 S T S
+RESTYLE R IY0 - S T AY1 L
+RESTYLED R IY0 - S T AY1 L D
+RESUBMIT R IY2 - S AH0 B - M IH1 T
+RESUBMITTED R IY2 - S AH0 B - M IH1 - T IH0 D
+RESUBMITTING R IY2 - S AH0 B - M IH1 - T IH0 NG
+RESULT R IH0 - Z AH1 L T
+RESULT(2) R IY0 - Z AH1 L T
+RESULTANT R IY0 - Z AH1 L - T AH0 N T
+RESULTED R IH0 - Z AH1 L - T IH0 D
+RESULTED(2) R IY0 - Z AH1 L - T AH0 D
+RESULTED(3) R IY0 - Z AH1 L - T IH0 D
+RESULTING R IH0 - Z AH1 L - T IH0 NG
+RESULTING(2) R IY0 - Z AH1 L - T IH0 NG
+RESULTS R IH0 - Z AH1 L T S
+RESULTS(2) R IY0 - Z AH1 L T S
+RESUME R IH0 - Z UW1 M
+RESUME(2) R IY0 - Z UW1 M
+RESUME(3) R EH1 - Z AH0 - M EY2
+RESUMED R IH0 - Z UW1 M D
+RESUMED(2) R IY0 - Z UW1 M D
+RESUMES R IH0 - Z UW1 M Z
+RESUMES(2) R IY0 - Z UW1 M Z
+RESUMES(3) R EH1 - Z AH0 - M EY2 Z
+RESUMING R IH0 - Z UW1 - M IH0 NG
+RESUMING(2) R IY0 - Z UW1 - M IH0 NG
+RESUMPTION R IH0 - Z AH1 M P - SH AH0 N
+RESUMPTION(2) R IY0 - Z AH1 M P - SH AH0 N
+RESUMPTION(3) R IH0 - Z AH1 M - SH AH0 N
+RESUMPTION(4) R IY0 - Z AH1 M - SH AH0 N
+RESUPPLY R IY0 - S AH0 - P L AY1
+RESURFACE R IY0 - S ER1 - F AH0 S
+RESURFACED R IY0 - S ER1 - F AH0 S T
+RESURFACING R IY0 - S ER1 - F AH0 - S IH0 NG
+RESURGENCE R IY0 - S ER1 - JH AH0 N S
+RESURGENCY R IH0 - S ER1 - JH AH0 N - S IY0
+RESURGENCY(2) R IY0 - S ER1 - JH AH0 N - S IY0
+RESURGENT R IH0 - S ER1 - JH AH0 N T
+RESURGENT(2) R IY0 - S ER1 - JH AH0 N T
+RESURGING R IY0 - S ER1 - JH IH0 NG
+RESURRECT R EH2 - Z ER0 - EH1 K T
+RESURRECTED R EH2 - Z ER0 - EH1 K - T IH0 D
+RESURRECTING R EH2 - Z ER0 - EH1 K - T IH0 NG
+RESURRECTION R EH2 - Z ER0 - EH1 K - SH AH0 N
+RESUSCITATE R IH0 - S AH1 - S IH0 - T EY2 T
+RESUSCITATE(2) R IY0 - S AH1 - S IH0 - T EY2 T
+RESUSCITATED R IH0 - S AH1 - S IH0 - T EY2 - T IH0 D
+RESUSCITATING R IH0 - S AH1 - S IH0 - T EY2 - T IH0 NG
+RESUSCITATION R IH0 - S AH2 - S IH0 - T EY1 - SH AH0 N
+RET R EH1 T
+RETA R EH1 - T AH0
+RETABLOS R IY0 - T AE1 - B L OW0 S
+RETAIL R IY1 - T EY2 L
+RETAILED R IY1 - T EY2 L D
+RETAILER R IY1 - T EY2 - L ER0
+RETAILER'S R IY1 - T EY2 - L ER0 Z
+RETAILERS R IY1 - T EY2 - L ER0 Z
+RETAILERS' R IY1 - T EY2 - L ER0 Z
+RETAILING R IY1 - T EY2 - L IH0 NG
+RETAILING'S R IY1 - T EY2 - L IH0 NG Z
+RETAILS R IY1 - T EY2 L Z
+RETAIN R IH0 - T EY1 N
+RETAIN(2) R IY0 - T EY1 N
+RETAINED R IH0 - T EY1 N D
+RETAINED(2) R IY0 - T EY1 N D
+RETAINER R IH0 - T EY1 - N ER0
+RETAINER(2) R IY0 - T EY1 - N ER0
+RETAINERS R IH0 - T EY1 - N ER0 Z
+RETAINING R IH0 - T EY1 - N IH0 NG
+RETAINING(2) R IY0 - T EY1 - N IH0 NG
+RETAINS R IH0 - T EY1 N Z
+RETAINS(2) R IY0 - T EY1 N Z
+RETAKE R IY1 - T EY1 K
+RETAKE(2) R IY0 - T EY1 K
+RETAKEN R IY0 - T EY1 - K AH0 N
+RETAKING R IY0 - T EY1 - K IH0 NG
+RETALIATE R IH0 - T AE1 - L IY0 - EY2 T
+RETALIATE(2) R IY0 - T AE1 - L IY0 - EY2 T
+RETALIATED R IH0 - T AE1 - L IY0 - EY2 - T IH0 D
+RETALIATED(2) R IY0 - T AE1 - L IY0 - EY2 - T IH0 D
+RETALIATING R IH0 - T AE1 - L IY0 - EY2 - T IH0 NG
+RETALIATION R IY0 - T AE2 - L IY0 - EY1 - SH AH0 N
+RETALIATORY R IY0 - T AE1 - L Y AH0 - T AO2 - R IY0
+RETANA R EH0 - T AE1 - N AH0
+RETARD R IH0 - T AA1 R D
+RETARD(2) R IY0 - T AA1 R D
+RETARDANT R IY0 - T AA1 R - D AH0 N T
+RETARDATION R IY0 - T AA0 R - D EY1 - SH AH0 N
+RETARDED R IH0 - T AA1 R - D IH0 D
+RETARDED(2) R IY0 - T AA1 R - D AH0 D
+RETARDED(3) R IY0 - T AA1 R - D IH0 D
+RETARDING R IH0 - T AA1 R - D IH0 NG
+RETARDING(2) R IY0 - T AA1 R - D IH0 NG
+RETARDS R IH0 - T AA1 R D Z
+RETARDS(2) R IY0 - T AA1 R D Z
+RETELL R IY0 - T EH1 L
+RETELLING R IY0 - T EH1 - L IH0 NG
+RETEMEYER R EH1 - T AH0 - M AY2 R
+RETENTION R IY0 - T EH1 N - SH AH0 N
+RETEST R IY1 - T EH1 S T
+RETESTED R IY0 - T EH1 - S T IH0 D
+RETESTING R IY0 - T EH1 - S T IH0 NG
+RETESTS R IY1 - T EH1 S T S
+RETESTS(2) R IY1 - T EH1 S S
+RETESTS(3) R IY1 - T EH1 S
+RETHERFORD R IH0 - TH ER1 - F ER0 D
+RETHINK R IY0 - TH IH1 NG K
+RETHINKING R IY0 - TH IH1 NG - K IH0 NG
+RETHOUGHT R IY0 - TH AO1 T
+RETICENCE R EH1 - T IH0 - S AH0 N S
+RETICENT R EH1 - T IH0 - S AH0 N T
+RETIN R EH1 - T IH0 N
+RETINA R EH1 - T AH0 - N AH0
+RETINAL R EH1 - T AH0 - N AH0 L
+RETINOBLASTOMA R EH2 - T IH0 - N OW2 - B L AE2 - S T OW1 - M AH0
+RETINOID R EH1 - T IH0 - N OY0 D
+RETINOIDS R EH1 - T IH0 - N OY0 D Z
+RETINUE R EH1 - T AH0 - N UW2
+RETINYL R EH1 - T IH0 - N AH0 L
+RETIRE R IH0 - T AY1 R
+RETIRE(2) R IY0 - T AY1 R
+RETIRE(3) R IY2 - T AY1 - ER0
+RETIRED R IH0 - T AY1 R D
+RETIRED(2) R IY0 - T AY1 - ER0 D
+RETIRED(3) R IY0 - T AY1 R D
+RETIREE R IY0 - T AY1 - R IY1
+RETIREE'S R IH0 - T AY2 - R IY1 Z
+RETIREES R IY0 - T AY1 - R IY1 Z
+RETIREES' R IH0 - T AY2 - R IY1 Z
+RETIREMENT R IY0 - T AY1 - ER0 - M AH0 N T
+RETIREMENT(2) R IH0 - T AY1 - ER0 - M AH0 N T
+RETIREMENTS R IH0 - T AY1 R - M AH0 N T S
+RETIREMENTS(2) R IY0 - T AY1 R - M AH0 N T S
+RETIRES R IH0 - T AY1 R Z
+RETIRES(2) R IY0 - T AY1 - ER0 Z
+RETIRES(3) R IY0 - T AY1 R Z
+RETIRING R IH0 - T AY1 - R IH0 NG
+RETIRING(2) R IY0 - T AY1 - ER0 - IH0 NG
+RETIRING(3) R IY0 - T AY1 - R IH0 NG
+RETLIN R EH1 T - L IH0 N
+RETO R IY1 - T UW1
+RETOOK R IY0 - T UH1 K
+RETOOL R IY0 - T UW1 L
+RETOOLED R IY0 - T UW1 L D
+RETOOLING R IY0 - T UW1 - L IH0 NG
+RETORT R IY1 - T AO2 R T
+RETORTED R IY0 - T AO1 R - T IH0 D
+RETORTS R IH0 - T AO1 R T S
+RETORTS(2) R IY0 - T AO1 R T S
+RETOUCHING R IY0 - T AH1 - CH IH0 NG
+RETRACE R IY0 - T R EY1 S
+RETRACED R IY0 - T R EY1 S T
+RETRACEMENT R IY0 - T R EY1 S - M AH0 N T
+RETRACING R IY0 - T R EY1 - S IH0 NG
+RETRACT R IY0 - T R AE1 K T
+RETRACTABLE R IY0 - T R AE1 K - T AH0 - B AH0 L
+RETRACTED R IY0 - T R AE1 K - T AH0 D
+RETRACTING R IY0 - T R AE1 K - T IH0 NG
+RETRACTION R IY0 - T R AE1 K - SH AH0 N
+RETRACTS R IY0 - T R AE1 K T S
+RETRAIN R IY0 - T R EY1 N
+RETRAINED R IY0 - T R EY1 N D
+RETRAINING R IY0 - T R EY1 - N IH0 NG
+RETRANSMISSION R IY2 - T R AE0 N Z - M IH1 - SH AH0 N
+RETREAD R IY0 - T R EH1 D
+RETREADING R IY0 - T R EH1 - D IH0 NG
+RETREADS R IY0 - T R EH1 D Z
+RETREAT R IY0 - T R IY1 T
+RETREATED R IY0 - T R IY1 - T AH0 D
+RETREATED(2) R IY0 - T R IY1 - T IH0 D
+RETREATING R IY0 - T R IY1 - T IH0 NG
+RETREATS R IY0 - T R IY1 T S
+RETRENCH R IY0 - T R EH1 N CH
+RETRENCHED R IY0 - T R EH1 N CH T
+RETRENCHING R IY0 - T R EH1 N - CH IH0 NG
+RETRENCHMENT R IY0 - T R EH1 N CH - M AH0 N T
+RETRENCHMENTS R IY0 - T R EH1 N CH - M AH0 N T S
+RETRIAL R IY0 - T R AY1 - AH0 L
+RETRIBUTION R EH2 - T R AH0 - B Y UW1 - SH AH0 N
+RETRIED R IY0 - T R AY1 D
+RETRIEVAL R IH0 - T R IY1 - V AH0 L
+RETRIEVAL(2) R IY0 - T R IY1 - V AH0 L
+RETRIEVE R IH0 - T R IY1 V
+RETRIEVE(2) R IY0 - T R IY1 V
+RETRIEVED R IY0 - T R IY1 V D
+RETRIEVER R IY0 - T R IY1 - V ER0
+RETRIEVERS R IY0 - T R IY1 - V ER0 Z
+RETRIEVES R IH0 - T R IY1 V Z
+RETRIEVES(2) R IY0 - T R IY1 V Z
+RETRIEVING R IY0 - T R IY1 - V IH0 NG
+RETRO R EH1 - T R OW0
+RETROACTIVE R EH2 - T R OW0 - AE1 K - T IH0 V
+RETROACTIVELY R EH2 - T R OW0 - AE1 K - T IH0 V - L IY0
+RETROACTIVITY R EH2 - T R OW0 - AE0 K - T IH1 - V IH0 - T IY0
+RETROFIT R EH1 - T R OW0 - F IH2 T
+RETROFITS R EH1 - T R OW0 - F IH2 T S
+RETROFITTED R EH1 - T R OW2 - F IH2 - T IH0 D
+RETROFITTER R EH1 - T R OW2 - F IH2 - T ER0
+RETROFITTING R EH1 - T R OW0 - F IH2 - T IH0 NG
+RETROGRADE R EH1 - T R AH0 - G R EY2 D
+RETROSPECT R EH1 - T R AH0 - S P EH2 K T
+RETROSPECTIVE R EH2 - T R AH0 - S P EH1 K - T IH0 V
+RETROSPECTIVELY R EH2 - T R OW0 - S P EH1 K - T IH0 V - L IY0
+RETROVIR R EH1 - T R OW0 - V IH2 R
+RETROVIRUS R EH2 - T R OW0 - V AY1 - R AH0 S
+RETROVIRUSES R EH2 - T R OW0 - V AY1 - R AH0 - S IH0 Z
+RETRY R IY0 - T R AY1
+RETRYING R IY0 - T R AY1 - IH0 NG
+RETTBERG R EH1 T - B ER0 G
+RETTER R EH1 - T ER0
+RETTEW R EH1 - CH UW0
+RETTIG R EH1 - T IH0 G
+RETTINGER R EH1 - T IH0 N - JH ER0
+RETTINGER(2) R EH1 - T IH0 - NG ER0
+RETTKE R EH1 T - K IY0
+RETTON R EH1 - T AH0 N
+RETURN R IH0 - T ER1 N
+RETURN(2) R IY0 - T ER1 N
+RETURNABLE R IY0 - T ER1 - N AH0 - B AH0 L
+RETURNED R IH0 - T ER1 N D
+RETURNED(2) R IY0 - T ER1 N D
+RETURNEE R IH0 - T ER0 - N IY1
+RETURNEES R IH0 - T ER0 - N IY1 Z
+RETURNING R IH0 - T ER1 - N IH0 NG
+RETURNING(2) R IY0 - T ER1 - N IH0 NG
+RETURNS R IH0 - T ER1 N Z
+RETURNS' R AH0 - T ER1 N Z
+RETURNS'(2) R IY0 - T ER1 N Z
+RETURNS(2) R IY0 - T ER1 N Z
+RETZ R EH1 T S
+RETZER R EH1 T - Z ER0
+RETZLAFF R EH1 T Z - L AH0 F
+RETZLOFF R EH1 T Z - L AO0 F
+REUBEN R UW1 - B AH0 N
+REUBER R OY1 - B ER0
+REUL R UW1 L
+REULAND R OY1 - L AH0 N D
+REULE R UW1 L
+REUM R IY1 - AH0 M
+REUNIFICATION R IY0 - UW2 - N AH0 - F AH0 - K EY1 - SH AH0 N
+REUNIFIED R IY0 - UW1 - N AH0 - F AY2 D
+REUNIFY R IY0 - UW1 - N AH0 - F AY2
+REUNION R IY0 - UW1 - N Y AH0 N
+REUNIONS R IY0 - UW1 - N Y AH0 N Z
+REUNITE R IY2 - UW0 - N AY1 T
+REUNITED R IY2 - UW0 - N AY1 - T IH0 D
+REUNITES R IY2 - UW0 - N AY1 T S
+REUNITING R IY2 - UW0 - N AY1 - T IH0 NG
+REUSABLE R IY0 - UW1 - Z AH0 - B AH0 L
+REUSCH R OY1 SH
+REUSE R IY0 - Y UW1 S
+REUSE(2) R IY0 - Y UW1 Z
+REUSED R IY0 - UW1 Z D
+REUSING R IY0 - Y UW1 - Z IH0 NG
+REUSS R UW1 S
+REUSSER R OY1 - S ER0
+REUST R UW1 S T
+REUTER R OY1 - T ER0
+REUTER'S R OY1 - T ER0 Z
+REUTERS R OY1 - T ER0 Z
+REUTERS' R OY1 - T ER0 Z
+REUTERS'S R OY1 - T ER0 - Z IH0 Z
+REUTERS'S(2) R OY1 - T ER0 Z
+REUTGERS R OY1 T - G ER0 Z
+REUTHER R OY1 - DH ER0
+REUTTER R OY1 - T ER0
+REUTZEL R OY1 T - Z AH0 L
+REV R EH1 V
+REVA R EY1 - V AH0
+REVAK R EH1 - V AH0 K
+REVALUATION R IY0 - V AE1 L - Y UW0 - EY1 - SH AH0 N
+REVALUATIONS R IY0 - IH0 - V AE2 L - Y UW0 - EY1 - SH AH0 N Z
+REVALUE R IY0 - V AE1 L - Y UW2
+REVALUED R IY0 - V AE1 L - Y UW0 D
+REVALUING R IY0 - V AE1 L - Y UW0 - IH0 NG
+REVAMP R IY0 - V AE1 M P
+REVAMPED R IY0 - V AE1 M P T
+REVAMPING R IY0 - V AE1 M - P IH0 NG
+REVAMPS R IY0 - V AE1 M P S
+REVARD R IH0 - V AA1 R D
+REVCO R EH1 V - K OW0
+REVCO'S R EH1 V - K OW0 Z
+REVEAL R IH0 - V IY1 L
+REVEAL(2) R IY0 - V IY1 L
+REVEALED R IH0 - V IY1 L D
+REVEALED(2) R IY0 - V IY1 L D
+REVEALING R IH0 - V IY1 - L IH0 NG
+REVEALING(2) R IY0 - V IY1 - L IH0 NG
+REVEALS R IH0 - V IY1 L Z
+REVEALS(2) R IY0 - V IY1 L Z
+REVEL R EH1 - V AH0 L
+REVELATION R EH2 - V AH0 - L EY1 - SH AH0 N
+REVELATIONS R EH2 - V AH0 - L EY1 - SH AH0 N Z
+REVELATORY R IH0 - V EH1 - L AH0 - T AO2 - R IY0
+REVELED R EH1 - V AH0 L D
+REVELER R EH1 - V AH0 - L ER0
+REVELERS R EH1 - V AH0 - L ER0 Z
+REVELES R EY0 - V EY1 - L EH0 S
+REVELING R EH1 - V AH0 L - IH0 NG
+REVELL R EY0 - V EY1 L
+REVELLE R IH0 - V EH1 L
+REVELLO R EH0 - V EH1 - L OW0
+REVELRY R EH1 - V AH0 L - R IY0
+REVELS R EH1 - V AH0 L Z
+REVENGE R IY0 - V EH1 N JH
+REVENUE R EH1 - V AH0 - N UW2
+REVENUE(2) R EH1 - V AH0 - N Y UW2
+REVENUES R EH1 - V AH0 - N UW2 Z
+REVENUES(2) R EH1 - V AH0 - N Y UW2 Z
+REVERB R IY0 - V ER1 B
+REVERBED R IY0 - V ER1 B D
+REVERBERATE R IH0 - V ER1 - B ER0 - AH0 T
+REVERBERATE(2) R IH0 - V ER1 - B ER0 - EY0 T
+REVERBERATED R IH0 - V ER1 - B ER0 - EY2 - T IH0 D
+REVERBERATED(2) R IY0 - V ER1 - B ER0 - EY2 - T AH0 D
+REVERBERATED(3) R IY0 - V ER1 - B ER0 - EY2 - T IH0 D
+REVERBERATES R IH0 - V ER1 - B ER0 - EY2 T S
+REVERBERATING R IH0 - V ER1 - B ER0 - EY2 - T IH0 NG
+REVERBERATING(2) R IY0 - V ER1 - B ER0 - EY2 - T IH0 NG
+REVERBERATION R IY0 - V ER2 - B ER0 - EY1 - SH AH0 N
+REVERBERATIONS R IH0 - V ER2 - B ER0 - EY1 - SH AH0 N Z
+REVERCOMB R EH1 - V ER0 - K AH0 M
+REVERE R IH0 - V IH1 R
+REVERED R IH0 - V IH1 R D
+REVERENCE R EH1 - V ER0 - AH0 N S
+REVEREND R EH1 - V ER0 - AH0 N D
+REVEREND(2) R EH1 - V R AH0 N D
+REVERENT R EH1 - V ER0 - AH0 N T
+REVERENTIAL R EH2 - V ER0 - EH1 N - CH AH0 L
+REVERENTIAL(2) R EH2 - V ER0 - EH1 N - SH AH0 L
+REVERENTLY R EH1 - V ER0 - AH0 N T - L IY0
+REVERIE R EH1 - V ER0 - IY0
+REVERIES R EH1 - V ER0 - IY0 Z
+REVERON R EH1 - V ER0 - AA2 N
+REVERON'S R EH1 - V ER0 - AA2 N Z
+REVERSAL R IH0 - V ER1 - S AH0 L
+REVERSAL(2) R IY0 - V ER1 - S AH0 L
+REVERSALS R IH0 - V ER1 - S AH0 L Z
+REVERSALS(2) R IY0 - V ER1 - S AH0 L Z
+REVERSE R IH0 - V ER1 S
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+SELDERS S EH1 L - D ER0 Z
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+SELECTING S AH0 - L EH1 K - T IH0 NG
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+SELECTIVE S AH0 - L EH1 K - T IH0 V
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+SELECTIVITY S IH0 - L EH2 K - T IH1 - V AH0 - T IY0
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+SELENA'S S AH0 - L IY1 - N AH0 Z
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+SELENITE S EH1 - L IH0 - N AY2 T
+SELENIUM S AH0 - L IY1 - N IY0 - AH0 M
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+SELES' S EH1 - L EH0 S
+SELEY S IY1 - L IY0
+SELF S EH1 L F
+SELF'S S EH1 L F S
+SELF-AGGRANDIZEMENT S EH1 L - F AE1 - G R AH0 N - D AY2 Z - M AH0 N T
+SELF-AGGRANDIZING S EH1 L - F AH0 - G R AE1 N - D AY2 - Z IH0 NG
+SELF-CONFIDENCE S EH1 L F - K AA1 N - F AH0 - D AH0 N S
+SELF-CONFIDENT S EH1 L F - K AA1 N - F AH0 - D AH0 N T
+SELF-CONGRATULATION S EH1 L F - K AH0 N - G R AE2 - CH AH0 - L EY1 - SH AH0 N
+SELF-CONSISTENT S EH2 L F - K AH0 N - S IH1 - S T AH0 N T
+SELF-CONTAINED S EH1 L F - K AH0 N - T EY1 N D
+SELF-CONTROL S EH1 L F - K AH0 N - T R OW1 L
+SELF-DECEIVING S EH2 L F - D IY0 - S IY1 - V IH0 NG
+SELF-DECEPTION S EH1 L F - D AH0 - S EH1 P - SH AH0 N
+SELF-DELIVERANCE S EH1 L F - D IH0 - L IH1 - V ER0 - AH0 N S
+SELF-DEPRECATING S EH1 L F - D EH1 - P R AH0 - K EY2 - T IH0 NG
+SELF-DETERMINATION S EH1 L F - D IH0 - T ER2 - M AH0 - N EY1 - SH AH0 N
+SELF-DORMANT S EH1 L F - D AO1 R - M AH0 N T
+SELF-ENERGIZING S EH1 L - F EH1 - N ER0 - JH AY2 - Z IH0 NG
+SELF-ENRICHMENT S EH2 L - F AH0 N - R IH1 CH - M AH0 N T
+SELF-FERTILIZING S EH1 L F - F ER1 - T AH0 - L AY2 - Z IH0 NG
+SELF-FRUITFUL S EH1 L F - F R UW1 T - F AH0 L
+SELF-GOVERN S EH1 L F - G AH1 - V ER0 N
+SELF-GOVERNING S EH1 L F - G AH1 - V ER0 - N IH0 NG
+SELF-GOVERNMENT S EH1 L F - G AH1 - V ER0 N - M AH0 N T
+SELF-HELP S EH1 L F - HH EH1 L P
+SELF-IMPROVEMENT S EH1 L - F IH0 M - P R UW1 V - M AH0 N T
+SELF-PERPETUATE S EH2 L F - P ER0 - P EH1 - CH UW0 - EY2 T
+SELF-PERPETUATING S EH2 L F - P ER0 - P EH1 - CH UW0 - EY2 - T IH0 NG
+SELF-PERPETUATION S EH1 L F - P ER0 - P EH2 - CH UW0 - EY1 - SH AH0 N
+SELF-POLLINATE S EH1 L - F P AA1 - L AH0 - N EY2 T
+SELF-PORTRAIT S EH1 L F - P AO1 R - T R AH0 T
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+SELF-SUBSISTENCE S EH1 L F - S AH0 B - S IH1 - S T AH0 N S
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+SELF-TORMENT S EH1 L F - T AO1 R - M EH2 N T
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+SELLINGER S EH1 - L IH0 - NG ER0
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+SELLMAN S EH1 L - M AH0 N
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+SELLNER S EH1 L - N ER0
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+SELLON S EH1 - L AH0 N
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+SEMANTICS S IH0 - M AE1 N - T IH0 K S
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+SEMBLANCE S EH1 M - B L AH0 N S
+SEMEGRAN S EH1 - M AH0 - G R AH0 N
+SEMEL S EH1 - M AH0 L
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+SEMEN S IY1 - M AH0 N
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+SEMERAD S EH1 - M ER0 - AE0 D
+SEMESTER S AH0 - M EH1 - S T ER0
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+SEMI-HEIGHT S EH1 - M IY0 - HH AY1 T
+SEMI-HEIGHT(2) S EH1 - M IH0 - HH AY1 T
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+SEMI-HEIGHTS(2) S EH1 - M AY0 - HH AY1 T S
+SEMI-HEIGHTS(3) S EH1 - M IH0 - HH AY1 T S
+SEMIANNUAL S EH2 - M IY0 - AE1 - N Y AH0 - W AH0 L
+SEMIANNUAL(2) S EH2 - M AY0 - AE1 - N Y AH0 - W AH0 L
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+SEMIANNUALLY(4) S EH2 - M AY0 - AE1 - N UW0 - L IY0
+SEMIANNUALLY(5) S EH2 - M IH0 - AE1 - N UW0 - L IY0
+SEMIANNUALLY(6) S EH2 - M IH0 - AE1 - N UW0 - AH0 - L IY0
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+SEMIAUTOMATIC(3) S EH2 - M IH0 - AO2 - T AH0 - M AE1 - T IH0 K
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+SEMICLAD S EH1 - M IY0 - K L AE2 D
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+SEMICON S EH1 - M IH0 - K AA2 N
+SEMICONDUCTOR S EH2 - M IY0 - K AH0 N - D AH1 K - T ER0
+SEMICONDUCTOR'S S EH2 - M IY0 - K AH0 N - D AH1 K - T ER0 Z
+SEMICONDUCTOR'S(2) S EH2 - M IH0 - K AH0 N - D AH1 K - T ER0 Z
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+SEMICONDUCTOR(2) S EH2 - M IH0 - K AH0 N - D AH1 K - T ER0
+SEMICONDUCTOR(3) S EH2 - M AY0 - K AH0 N - D AH1 K - T ER0
+SEMICONDUCTORS S EH2 - M IY0 - K AH0 N - D AH1 K - T ER0 Z
+SEMICONDUCTORS(2) S EH2 - M IH0 - K AH0 N - D AH1 K - T ER0 Z
+SEMICONDUCTORS(3) S EH2 - M AY0 - K AH0 N - D AH1 K - T ER0 Z
+SEMICYLINDRICAL S EH2 - M IY0 - S AH0 - L IH1 N - D R IH0 - K AH0 L
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+SEMIDRY S EH2 - M IY0 - D R AY1
+SEMIDRY(2) S EH2 - M IH0 - D R AY1
+SEMIDRY(3) S EH2 - M AY0 - D R AY1
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+SEMIDRYING(3) S EH2 - M AY0 - D R AY1 - IH0 NG
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+SEMIFINAL S EH2 - M IY0 - F AY1 - N AH0 L
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+SEMIFINAL(3) S EH2 - M AY0 - F AY1 - N AH0 L
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+SEMIFINALIST(2) S EH2 - M IH0 - F AY1 - N AH0 - L IH0 S T
+SEMIFINALIST(3) S EH2 - M AY0 - F AY1 - N AH0 - L IH0 S T
+SEMIFINALISTS S EH2 - M IY0 - F AY1 - N AH0 L - IH0 S T S
+SEMIFINALISTS(2) S EH2 - M IY0 - F AY1 - N AH0 L - IH0 S S
+SEMIFINALISTS(3) S EH2 - M IY0 - F AY1 - N AH0 L - IH0 S
+SEMIFINALISTS(4) S EH2 - M AY0 - F AY1 - N AH0 - L IH0 S T S
+SEMIFINALISTS(5) S EH2 - M AY0 - F AY1 - N AH0 L - IH0 S S
+SEMIFINALISTS(6) S EH2 - M AY0 - F AY1 - N AH0 L - IH0 S
+SEMIFINALISTS(7) S EH2 - M IH0 - F AY1 - N AH0 - L IH0 S T S
+SEMIFINALISTS(8) S EH2 - M IH0 - F AY1 - N AH0 L - IH0 S S
+SEMIFINALISTS(9) S EH2 - M IH0 - F AY1 - N AH0 L - IH0 S
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+SEMIFINALS(3) S EH2 - M AY0 - F AY1 - N AH0 L Z
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+SEMIFINISH(3) S EH2 - M IH0 - F IH1 - N IH0 SH
+SEMIFINISHED S EH2 - M IY0 - F IH1 - N IH0 SH T
+SEMIFINISHED(2) S EH2 - M AY0 - F IH1 - N IH0 SH T
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+TRADEMARKED T R EY1 D - M AA2 R K T
+TRADEMARKS T R EY1 D - M AA2 R K S
+TRADEOFF T R EY1 - D AO2 F
+TRADEOFFS T R EY1 - D AO2 F S
+TRADER T R EY1 - D ER0
+TRADER'S T R EY1 - D ER0 Z
+TRADERS T R EY1 - D ER0 Z
+TRADERS' T R EY1 - D ER0 Z
+TRADES T R EY1 D Z
+TRADESMEN T R EY1 D Z - M AH0 N
+TRADING T R EY1 - D IH0 NG
+TRADING'S T R EY1 - D IH0 NG Z
+TRADINGS T R EY1 - D IH0 NG Z
+TRADITION T R AH0 - D IH1 - SH AH0 N
+TRADITIONAL T R AH0 - D IH1 - SH AH0 - N AH0 L
+TRADITIONALIST T R AH0 - D IH1 - SH AH0 N - AH0 - L IH0 S T
+TRADITIONALISTS T R AH0 - D IH1 SH - N AH0 - L AH0 S T S
+TRADITIONALLY T R AH0 - D IH1 - SH AH0 N - AH0 - L IY0
+TRADITIONALLY(2) T R AH0 - D IH1 SH - N AH0 - L IY0
+TRADITIONS T R AH0 - D IH1 - SH AH0 N Z
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+TRAER T R EH1 R
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+TRAFFICKER T R AE1 - F IH0 - K ER0
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+TRAFICANT T R AE1 - F IH0 - K AH0 N T
+TRAFICANTE T R AA0 - F IY0 - K AA1 N - T IY0
+TRAFILLIO T R AH0 - F IY1 - L IY0 - OW0
+TRAFILLIO'S T R AH0 - F IY1 - L IY0 - OW0 Z
+TRAFTON T R AE1 F - T AH0 N
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+TRAGEDY T R AE1 - JH AH0 - D IY0
+TRAGER T R EY1 - G ER0
+TRAGESER T R AE1 - G IY0 - Z ER0
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+TRAGICALLY T R AE1 - JH IH0 K - L IY0
+TRAGICOMIC T R AE2 - JH IH0 - K AA1 - M IH0 K
+TRAGOS T R AE1 - G OW0 Z
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+TRAIL T R EY1 L
+TRAILBLAZER T R EY1 L - B L EY2 - Z ER0
+TRAILBLAZERS T R EY1 L - B L EY2 - Z ER0 Z
+TRAILED T R EY1 L D
+TRAILER T R EY1 - L ER0
+TRAILERS T R EY1 - L ER0 Z
+TRAILHEAD T R EY1 L - HH EH2 D
+TRAILING T R EY1 - L IH0 NG
+TRAILS T R EY1 L Z
+TRAILS' T R EY1 L Z
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+TRAILWAYS' T R EY1 L - W EY2 Z
+TRAIN T R EY1 N
+TRAIN'S T R EY1 N Z
+TRAINA T R EY1 - N AH0
+TRAINABLE T R EY1 - N AH0 - B AH0 L
+TRAINED T R EY1 N D
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+TRAINEES T R EY1 - N IY1 Z
+TRAINER T R EY1 - N ER0
+TRAINERS T R EY1 - N ER0 Z
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+TRAINMEN T R EY1 N - M AH0 N
+TRAINOR T R EY1 - N ER0
+TRAINS T R EY1 N Z
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+TRAIT T R EY1 T
+TRAITOR T R EY1 - T ER0
+TRAITOROUS T R EY1 - T ER0 - AH0 S
+TRAITORS T R EY1 - T ER0 Z
+TRAITS T R EY1 T S
+TRAJAN T R EY1 - JH AH0 N
+TRAJAN'S T R EY1 - JH AH0 N Z
+TRAJECTORY T R AH0 - JH EH1 K - T ER0 - IY0
+TRAK T R AE1 K
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+TRAM T R AE1 M
+TRAMBLE T R AE1 M - B AH0 L
+TRAMCO T R AE1 M - K OW0
+TRAMEL T R AE1 - M AH0 L
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+TRAMIEL T R AE1 - M IY0 - AH0 L
+TRAMMEL T R AE1 - M AH0 L
+TRAMMELL T R AE1 - M AH0 L
+TRAMONTANA T R AA0 - M OW0 N - T AE1 - N AH0
+TRAMONTANO T R AA0 - M OW0 N - T AA1 - N OW0
+TRAMONTE T R AA0 - M OW1 N - T IY0
+TRAMONTIN T R AH0 - M AA1 N - T IH0 N
+TRAMP T R AE1 M P
+TRAMPE T R AE1 M P
+TRAMPING T R AE1 M - P IH0 NG
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+TRAMPLING T R AE1 M - P L IH0 NG
+TRAMPOLINE T R AE2 M - P AH0 - L IY1 N
+TRAMPS T R AE1 M P Z
+TRAMS T R AE1 M Z
+TRAN T R AE1 N
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+TRANCE T R AE1 N S
+TRANCHE T R AE1 N CH
+TRANCHES T R AE1 N - CH EH0 Z
+TRANCHINA T R AA0 N - K IY1 - N AH0
+TRANE T R EY1 N
+TRANG T R AE1 NG
+TRANI T R AA1 - N IY0
+TRANQUIL T R AE1 NG - K W AH0 L
+TRANQUIL(2) T R AE1 NG - K W IH0 L
+TRANQUILITY T R AE0 NG - K W IH1 - L IH0 - T IY0
+TRANQUILIZE T R AE1 NG - K W AH0 - L AY2 Z
+TRANQUILIZE(2) T R AE1 NG - K W AH0 - L AY2 Z
+TRANQUILIZER T R AE1 NG - K W AH0 - L AY2 - Z ER0
+TRANQUILIZERS T R AE1 NG - K W AH0 - L AY2 - Z ER0 Z
+TRANQUILIZING T R AE1 NG - K W AH0 - L AY2 - Z IH0 NG
+TRANS T R AE1 N Z
+TRANSACT T R AE0 N - Z AE1 K T
+TRANSACTED T R AE0 N - S AE1 K - T IH0 D
+TRANSACTED(2) T R AE0 N - Z AE1 K - T IH0 D
+TRANSACTION T R AE0 N - Z AE1 K - SH AH0 N
+TRANSACTION'S T R AE0 N - Z AE1 K - SH AH0 N Z
+TRANSACTIONS T R AE0 N - Z AE1 K - SH AH0 N Z
+TRANSAFRICA T R AE2 N - Z AE1 - F R IH0 - K AH0
+TRANSALASKA T R AE2 N - Z AH0 - L AE1 S - K AH0
+TRANSALTA T R AE2 N - Z AO1 L - T AH0
+TRANSAMERICA T R AE2 N - S AH0 - M EH1 - R IH0 - K AH0
+TRANSAMERICA'S T R AE2 N - Z AH0 - M EH1 - R IH0 - K AH0 Z
+TRANSAMERICAN T R AE2 N - Z AH0 - M EH1 - R IH0 - K AH0 N
+TRANSAMERICAN'S T R AE2 N - Z AH0 - M EH1 - R IH0 - K AH0 N Z
+TRANSATLANTIC T R AE2 N Z - AH0 T - L AE1 N - T IH0 K
+TRANSATLANTIC(2) T R AE2 N Z - AH0 T - L AE1 - N IH0 K
+TRANSCANADA T R AE2 N Z - K AE1 - N AH0 - T AH0
+TRANSCANADA'S T R AE2 N Z - K AE1 - N AH0 - D AH0 Z
+TRANSCAPITAL T R AE2 N Z - K AE1 - P IH0 - T AH0 L
+TRANSCEND T R AE0 N - S EH1 N D
+TRANSCENDED T R AE0 N - S EH1 N - D IH0 D
+TRANSCENDENCE T R AE0 N - S EH1 N - D AH0 N S
+TRANSCENDENT T R AE0 N - S EH1 N - D AH0 N T
+TRANSCENDENTAL T R AE2 N - S AH0 N - D EH1 N - T AH0 L
+TRANSCENDENTAL(2) T R AE2 N - S AH0 N - D EH1 - N AH0 L
+TRANSCENDING T R AE0 N - S EH1 N - D IH0 NG
+TRANSCENDS T R AE0 N - S EH1 N D Z
+TRANSCHANNEL T R AH1 N S - CH AE1 - N AH0 L
+TRANSCHANNEL'S T R AH1 N S - CH AE1 - N AH0 L Z
+TRANSCISCO T R AE2 N - S IH1 - S K OW0
+TRANSCO T R AE1 N - S K OW0
+TRANSCON T R AE1 N Z - K AA0 N
+TRANSCONTINENTAL T R AE2 N Z - K AA2 N - T IH0 - N EH1 N - T AH0 L
+TRANSCONTINENTAL'S T R AE2 N Z - K AA2 N - T IH0 - N EH1 N - T AH0 L Z
+TRANSCONTINENTAL'S(2) T R AE2 N Z - K AA2 - N IH0 - N EH1 N - T AH0 L Z
+TRANSCONTINENTAL'S(3) T R AE2 N Z - K AA2 N - T IH0 - N EH1 - N AH0 L Z
+TRANSCONTINENTAL'S(4) T R AE2 N Z - K AA2 - N IH0 - N EH1 - N AH0 L Z
+TRANSCONTINENTAL(2) T R AE2 N Z - K AA2 - N IH0 - N EH1 N - T AH0 L
+TRANSCONTINENTAL(3) T R AE2 N Z - K AA2 N - T IH0 - N EH1 - N AH0 L
+TRANSCONTINENTAL(4) T R AE2 N Z - K AA2 - N IH0 - N EH1 - N AH0 L
+TRANSCRIBE T R AE0 N - S K R AY1 B
+TRANSCRIBED T R AE0 N - S K R AY1 B D
+TRANSCRIBER T R AE0 N - S K R AY1 - B ER0
+TRANSCRIBERS T R AE0 N - S K R AY1 - B ER0 Z
+TRANSCRIBES T R AE0 N - S K R AY1 B Z
+TRANSCRIBING T R AE0 N - S K R AY1 - B IH0 NG
+TRANSCRIPT T R AE1 N - S K R IH2 P T
+TRANSCRIPTION T R AE2 N - S K R IH1 P - SH AH0 N
+TRANSCRIPTIONS T R AE2 N - S K R IH1 P - SH AH0 N Z
+TRANSCRIPTS T R AE1 N - S K R IH2 P T S
+TRANSDUCER T R AE0 N S - D UW1 - S ER0
+TRANSDUCERS T R AE0 N S - D UW1 - S ER0 Z
+TRANSECT T R AE1 N - S EH2 K T
+TRANSECTED T R AE1 N - S EH2 K - T IH0 D
+TRANSECTION T R AE1 N - S EH2 K - SH AH0 N
+TRANSFER T R AE0 N S - F ER1
+TRANSFER(2) T R AE1 N S - F ER0
+TRANSFERABILITY T R AE2 N S - F ER0 - AH0 - B IH1 - L IH0 - T IY0
+TRANSFERABLE T R AE0 N S - F ER1 - AH0 - B AH0 L
+TRANSFERED T R AE0 N S - F ER1 D
+TRANSFERENCE T R AE0 N S - F ER1 - AH0 N S
+TRANSFERING T R AE0 N S - F ER1 - IH0 NG
+TRANSFERRABLE T R AE2 N S - F ER1 - AH0 - B AH0 L
+TRANSFERRED T R AE0 N S - F ER1 D
+TRANSFERRED(2) T R AE1 N S - F ER0 D
+TRANSFERRING T R AE0 N S - F ER1 - IH0 NG
+TRANSFERS T R AE0 N S - F ER1 Z
+TRANSFERS(2) T R AE1 N S - F ER0 Z
+TRANSFIX T R AE0 N S - F IH1 K S
+TRANSFIXED T R AE0 N S - F IH1 K S T
+TRANSFORM T R AE0 N S - F AO1 R M
+TRANSFORM(2) T R AE1 N S - F AO0 R M
+TRANSFORMATION T R AE2 N S - F ER0 - M EY1 - SH AH0 N
+TRANSFORMATIONAL T R AE2 N S - F ER0 - M EY1 - SH AH0 - N AH0 L
+TRANSFORMATIONS T R AE2 N S - F ER0 - M EY1 - SH AH0 N Z
+TRANSFORMED T R AE0 N S - F AO1 R M D
+TRANSFORMER T R AE0 N S - F AO1 R - M ER0
+TRANSFORMERS T R AE0 N S - F AO1 R - M ER0 Z
+TRANSFORMING T R AE0 N S - F AO1 R - M IH0 NG
+TRANSFORMS T R AE0 N S - F AO1 R M Z
+TRANSFUSE T R AE0 N S - F Y UW1 Z
+TRANSFUSED T R AE0 N S - F Y UW1 Z D
+TRANSFUSION T R AE0 N S - F Y UW1 - ZH AH0 N
+TRANSFUSIONS T R AE0 N S - F Y UW1 - ZH AH0 N Z
+TRANSGENIC T R AE2 N Z - JH EH1 - N IH0 K
+TRANSGRESS T R AE0 N Z - G R EH1 S
+TRANSGRESSED T R AE0 N Z - G R EH1 S T
+TRANSGRESSION T R AE0 N Z - G R EH1 - SH AH0 N
+TRANSGRESSIONS T R AE0 N Z - G R EH1 - SH AH0 N Z
+TRANSGRESSOR T R AE0 N Z - G R EH1 - S ER0
+TRANSIENCE T R AE1 N - Z IY0 - AH0 N S
+TRANSIENT T R AE1 N - ZH AH0 N T
+TRANSIENTS T R AE1 N - Z IY0 - AH0 N T S
+TRANSILLUMINATION T R AE2 N - Z AH0 - L UW2 - M AH0 - N EY1 - SH AH0 N
+TRANSIMAGE T R AE2 N - Z IH1 - M IH0 JH
+TRANSISTOR T R AE0 N - Z IH1 - S T ER0
+TRANSISTORS T R AE0 N - Z IH1 - S T ER0 Z
+TRANSIT T R AE1 N - Z AH0 T
+TRANSITION T R AE0 N - Z IH1 - SH AH0 N
+TRANSITIONAL T R AE0 N - S IH1 - SH AH0 - N AH0 L
+TRANSITIONAL(2) T R AE0 N - Z IH1 - SH AH0 - N AH0 L
+TRANSITIONING T R AE0 N - Z IH1 - SH AH0 N - IH0 NG
+TRANSITIONS T R AE0 N - Z IH1 - SH AH0 N Z
+TRANSITORY T R AE1 N - Z AH0 - T AO2 - R IY0
+TRANSKEI T R AE1 N Z - K EY2
+TRANSLATE T R AE0 N Z - L EY1 T
+TRANSLATE(2) T R AE0 N S - L EY1 T
+TRANSLATED T R AE0 N Z - L EY1 - T AH0 D
+TRANSLATED(2) T R AE0 N S - L EY1 - T IH0 D
+TRANSLATES T R AE0 N Z - L EY1 T S
+TRANSLATES(2) T R AE1 N S - L EY2 T S
+TRANSLATING T R AE0 N Z - L EY1 - T IH0 NG
+TRANSLATING(2) T R AE1 N S - L EY2 - T IH0 NG
+TRANSLATION T R AE0 N Z - L EY1 - SH AH0 N
+TRANSLATION(2) T R AE0 N S - L EY1 - SH AH0 N
+TRANSLATIONS T R AE0 N Z - L EY1 - SH AH0 N Z
+TRANSLATIONS(2) T R AE0 N S - L EY1 - SH AH0 N Z
+TRANSLATOR T R AE0 N S - L EY1 - T ER0
+TRANSLATOR(2) T R AE0 N Z - L EY1 - T ER0
+TRANSLATORS T R AE0 N S - L EY1 - T ER0 Z
+TRANSLATORS(2) T R AE0 N Z - L EY1 - T ER0 Z
+TRANSLOGIC T R AE2 N Z - L AA1 - JH IH0 K
+TRANSLUCENT T R AE0 N S - L UW1 - S AH0 N T
+TRANSMARK T R AE1 N Z - M AA2 R K
+TRANSMEDIA T R AE2 N Z - M IY1 - D IY0 - AH0
+TRANSMISSION T R AE0 N S - M IH1 - SH AH0 N
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+TRANSMISSIONS T R AE0 N Z - M IH1 - SH AH0 N Z
+TRANSMIT T R AE0 N Z - M IH1 T
+TRANSMITS T R AE0 N Z - M IH1 T S
+TRANSMITTABLE T R AE0 N Z - M IH1 - T AH0 - B AH0 L
+TRANSMITTAL T R AE0 N S - M IH1 - T AH0 L
+TRANSMITTED T R AE0 N S - M IH1 - T IH0 D
+TRANSMITTED(2) T R AE0 N Z - M IH1 - T AH0 D
+TRANSMITTER T R AE0 N S - M IH1 - T ER0
+TRANSMITTERS T R AE0 N S - M IH1 - T ER0 Z
+TRANSMITTING T R AE0 N S - M IH1 - T IH0 NG
+TRANSNATIONAL T R AE0 N S - N AE1 - SH AH0 - N AH0 L
+TRANSOCEANIC T R AE2 N Z - OW0 - SH IY0 - AE1 - N IH0 K
+TRANSOHIO T R AE2 N Z - OW0 - HH AY1 - OW0
+TRANSOM T R AE1 N - S AH0 M
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+TRANSPACIFIC T R AE2 N S - P AH0 - S IH1 - F IH0 K
+TRANSPARENCIES T R AE0 N - S P EH1 - R AH0 N - S IY0 Z
+TRANSPARENCY T R AE0 N - S P EH1 - R AH0 N - S IY0
+TRANSPARENT T R AE0 N - S P EH1 - R AH0 N T
+TRANSPARENTLY T R AE0 N - S P EH1 - R AH0 N T - L IY0
+TRANSPARK T R AE1 N S - P AA1 R K
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+TRANSPIRED T R AE0 N - S P AY1 - ER0 D
+TRANSPIRES T R AE0 N - S P AY1 - ER0 Z
+TRANSPIRING T R AE0 N - S P AY1 - ER0 - IH0 NG
+TRANSPLANT T R AE0 N S - P L AE1 N T
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+TRANSPLANTED T R AE0 N S - P L AE1 N - T IH0 D
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+TRANSPLANTS T R AE0 N S - P L AE1 N T S
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+TRANSPORT T R AE0 N S - P AO1 R T
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+TRANSPORTER T R AE0 N S - P AO1 R - T ER0
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+TRANSPOSE T R AE0 N S - P OW1 Z
+TRANSPOSED T R AE0 N S - P OW1 Z D
+TRANSRACIAL T R AE2 N Z - R EY1 - SH AH0 L
+TRANSRAPID T R AE1 N Z - R AE1 - P IH0 D
+TRANSSEXUAL T R AE0 N - S EH1 K - SH Y UW0 - AH0 L
+TRANSSEXUALS T R AE0 N - S EH1 K - SH Y UW0 - AH0 L Z
+TRANSTAR T R AE0 N S - T AA1 R
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+TRANSTECTOR T R AE2 N Z - T EH1 K - T ER0
+TRANSUE T R AE1 N - Z UW0
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+TRANSVERSE T R AE0 N Z - V ER1 S
+TRANSVESTITE T R AE0 N Z - V EH1 - S T AY0 T
+TRANSVESTITES T R AE0 N Z - V EH1 - S T AY0 T S
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+TRANSWESTERN T R AE2 N Z - W EH1 - S T ER0 N
+TRANSWORLD T R AE0 N S - W ER1 L D
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+TRANSYLVANIA(2) T R AE2 N - S IH0 L - V EY1 - N Y AH0
+TRANT T R AE1 N T
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+TRANUM T R AE1 - N AH0 M
+TRANZONIC T R AE0 N - Z AA1 - N IH0 K
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+TRAPANI T R AA0 - P AA1 - N IY0
+TRAPASSO T R AA0 - P AA1 - S OW0
+TRAPELO T R AH0 - P EH1 - L OW0
+TRAPEZE T R AH0 - P IY1 Z
+TRAPHAGEN T R AE1 - F AH0 - G AH0 N
+TRAPNELL T R AE1 P - N AH0 L
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+TRASK T R AE1 S K
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+TRAUGHBER T R AO1 - B ER0
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+TRAUT T R AO1 T
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+TRAVAIL T R AH0 - V EY1 L
+TRAVAILS T R AH0 - V EY1 L Z
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+TRAVELDAY T R AE1 - V AH0 L - D EY2
+TRAVELDAYS T R AE1 - V AH0 L - D EY2 Z
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+TRAVELLED T R AE1 - V AH0 L D
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+TRAVELLING T R AE1 - V AH0 L - IH0 NG
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+TRAVELODGE T R AE1 - V AH0 - L AA1 JH
+TRAVELOGUE T R AE1 - V AH0 - L AO2 G
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+TRAVERSO T R AA0 - V EH1 R - S OW0
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+VALUEPOINT V AE1 L - Y UW0 - P OY2 N T
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+VAN V AE1 N
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+VANAKEN V AE1 - N AH0 - K AH0 N
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+VANAMBURG V AE0 - N AE1 M - B ER0 G
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+VANANTWERP V AH0 - N AE1 N T - W ER0 P
+VANARSDALE V AE1 - N ER0 Z - D EY2 L
+VANARSDALL V AH0 - N AA1 R S - D AH0 L
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+VANAUKEN V AE0 - N AW1 - K AH0 N
+VANAUSDALL V AE0 - N AW1 S - D AH0 L
+VANBEBBER V AE2 N - B EH1 - B ER0
+VANBEEK V AE2 N - B IY1 K
+VANBENSCHOTEN V AE0 N - B EH1 N - SH AH0 - T AH0 N
+VANBERGEN V AE0 N - B ER1 - G AH0 N
+VANBIBBER V AE2 N - B IH1 - B ER0
+VANBLARCOM V AE2 N - B L AA1 R - K AH0 M
+VANBLARICOM V AE2 N - B L AE1 - R IH0 - K AH0 M
+VANBROCKLIN V AE2 N - B R AA1 - K L IH0 N
+VANBRUNT V AE2 N - B R AH1 N T
+VANBUREN V AE0 N - B Y UW1 - R AH0 N
+VANBUSKIRK V AE2 N - B AH1 - S K ER0 K
+VANCAMP V AE2 N - K AE1 M P
+VANCAMPEN V AE2 N - K AE1 M - P AH0 N
+VANCE V AE1 N S
+VANCIL V AE1 N - S AH0 L
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+VANCLEAVE V AE1 N - K L AH0 V
+VANCLEEF V AE2 N - K L IY1 F
+VANCLEVE V AE2 N - K L IY1 V
+VANCOMYCIN V AE2 N - K OW0 - M AY1 - S IH0 N
+VANCOTT V AH0 N - K AA1 T
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+VANCOUVER V AE0 N - K UW1 - V ER0
+VANCOUVER'S V AE0 N - K UW1 - V ER0 Z
+VANCURA V AA0 N - K UH1 - R AH0
+VANCUREN V AE0 N - K Y UW1 - R AH0 N
+VANDAELE V AE0 N - D EH1 L
+VANDAGRIFF V AE2 N - D AE1 - G R IH0 F
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+VANDAL V AE1 N - D AH0 L
+VANDALEN V AE2 N - D AE1 - L AH0 N
+VANDALISM V AE1 N - D AH0 - L IH0 - Z AH0 M
+VANDALIZE V AE1 N - D AH0 - L AY2 Z
+VANDALIZED V AE1 N - D AH0 - L AY2 Z D
+VANDALIZING V AE1 N - D AH0 - L AY2 - Z IH0 NG
+VANDALL V AE2 N - D AO1 L
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+VANDAM V AE2 N - D AE1 M
+VANDAMME V AE2 N - D AE1 M
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+VANDEBERG V AE1 N - D AH0 - B ER0 G
+VANDECAR V AE1 N - D AH0 - K AA2 R
+VANDEGRIFT V AE1 N - D AH0 - G R IH0 F T
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+VANDEHEY V AE1 N - D IH0 - HH IY0
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+VANDELLAS V AE2 N - D EH1 - L AH0 Z
+VANDEMAN V AE1 N - D AH0 - M AH0 N
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+VANDEN V AE1 N - D AH0 N
+VANDENBERG V AE1 N - D AH0 N - B ER0 G
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+VANDENBERGHE V AE1 N - D AH0 N - B ER0 G
+VANDENBOOM V AE1 N - D AH0 N - B UW2 M
+VANDENBOS V AE1 N - D AH0 N - B OW0 Z
+VANDENBOSCH V AE1 N - D AH0 N - B AO2 SH
+VANDENBRINK V AE1 N - D AH0 N - B R IH0 NG K
+VANDENBURG V AE1 N - D AH0 N - B ER0 G
+VANDENBURGH V AE1 N - D AH0 N - B ER0 G
+VANDENHEUVEL V AE1 N - D AH0 N - HH OY0 - V AH0 L
+VANDER V AE1 N - D ER0
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+VANDERBERG V AE1 N - D ER0 - B ER0 G
+VANDERBILT V AE1 N - D ER0 - B IH0 L T
+VANDERBURG V AE1 N - D ER0 - B ER0 G
+VANDERBUSH V AE1 N - D ER0 - B UH0 SH
+VANDERCOOK V AE1 N - D ER0 - K UH2 K
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+VANDERGRIFF V AE1 N - D ER0 - G R IH0 F
+VANDERGRIFT V AE1 N - D ER0 - G R IH0 F T
+VANDERGRIFT'S V AE1 N - D ER0 - G R IH2 F T S
+VANDERHEIDE V AE1 N - D ER0 - HH AY2 D
+VANDERHEIDEN V AE1 N - D ER0 - HH AY0 - D AH0 N
+VANDERHEYDEN V AE1 N - D ER0 - HH EY0 - D AH0 N
+VANDERHOEF V AE1 N - D ER0 - HH OW2 F
+VANDERHOFF V AE1 N - D ER0 - HH AO2 F
+VANDERHOOF V AE1 N - D ER0 - HH UH2 F
+VANDERHORST V AE1 N - D ER0 - HH AO2 R S T
+VANDERKOLK V AE1 N - D ER0 - K OW2 K
+VANDERKOOI V AE1 N - D ER0 - K UW2 - IY0
+VANDERLAAN V AE1 N - D ER0 - L AA2 N
+VANDERLEEST V AE1 N - D ER0 - AH0 - L IY2 S T
+VANDERLINDE V AE1 N - D ER0 - L IH2 N D
+VANDERLINDEN V AE1 N - D ER0 - L IH2 N - D AH0 N
+VANDERLIP V AE1 N - D ER0 - L IH2 P
+VANDERMARK V AE1 N - D ER0 - M AA2 R K
+VANDERMEER V AE1 N - D ER0 - M IH2 R
+VANDERMEULEN V AE1 N - D ER0 - M OY2 - L AH0 N
+VANDERMOLEN V AE1 N - D ER0 - M AA2 - L AH0 N
+VANDERPLOEG V AE1 N - D ER0 - P L OW2 G
+VANDERPOEL V AE1 N - D ER0 - P OW2 L
+VANDERPOL V AE1 N - D ER0 - P AO2 L
+VANDERPOOL V AE1 N - D ER0 - P UW2 L
+VANDERSCHAAF V AE1 N - D ER0 - SH AA2 F
+VANDERSLICE V AE1 N - D ER0 - S L AY2 S
+VANDERSLUIS V AE1 N - D ER0 - S L UW2 - IH0 S
+VANDERSLUIS(2) V AE1 N - D ER0 - S L UW2 S
+VANDERVEEN V AE1 N - D ER0 - V IY2 N
+VANDERVEER V AE1 N - D ER0 - V IH2 R
+VANDERVELDE V AE1 N - D ER0 - V EH2 L D
+VANDERVELDEN V AE1 N - D ER0 - V EH2 L - D AH0 N
+VANDERVLIET V AE1 N - D ER0 V - L IY2 T
+VANDERVOORT V AE1 N - D ER0 - V UH2 R T
+VANDERVORT V AE1 N - D ER0 - V AO2 R T
+VANDERWAL V AE1 N - D ER0 - W AA2 L
+VANDERWALL V AE1 N - D ER0 - W AA2 L
+VANDERWEELE V AE1 N - D ER0 - W IY2 L
+VANDERWEIDE V AE1 N - D ER0 - W AY2 D
+VANDERWERF V AE1 N - D ER0 - W ER2 F
+VANDERWERFF V AE1 N - D ER0 - W ER2 F
+VANDERWILT V AE1 N - D ER0 - W IH2 L T
+VANDERWOUDE V AE1 N - D ER0 - W AW2 D
+VANDERZANDEN V AE1 N - D ER0 - Z AE2 N - D AH0 N
+VANDERZEE V AE1 N - D ER0 - Z IY2
+VANDEUSEN V AE0 N - D OY1 - S AH0 N
+VANDEVANDER V AE1 N - D AH0 - V AE2 N - D ER0
+VANDEVEER V AE1 N - D AH0 - V IH2 R
+VANDEVELDE V AE1 N - D AH0 - V EH2 L D
+VANDEVEN V AE1 N - D AH0 - V AH0 N
+VANDEVENDER V AE1 N - D AH0 - V EH2 N - D ER0
+VANDEVENTER V AE1 N - D AH0 - V AH0 N - T ER0
+VANDEVER V AE2 N - D IY1 - V ER0
+VANDEVOORDE V AE1 N - D AH0 - V UH0 R D
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+VANDEWALKER V AE1 N - D AH0 - W AO2 - K ER0
+VANDEWALLE V AE0 N - D UW1 - EY0 L
+VANDEWATER V AE1 N - D AH0 - W AO0 - T ER0
+VANDEZANDE V AE1 N - D AH0 - Z IH0 N D
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+VANDIVIER V AE0 N - D AY1 - V IY0 - ER0
+VANDOREN V AE0 N - D AO1 - R AH0 N
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+VANDUNK V AE2 N - D AH1 NG K
+VANDUSEN V AE0 N - D UW1 - S AH0 N
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+VANDUYNE V AE2 N - D AY1 N
+VANDUZER V AE2 N - D UW1 - Z ER0
+VANDYCK V AE0 N - D IH1 K
+VANDYK V AE1 N - D IH0 K
+VANDYKE V AE2 N - D AY1 K
+VANDYKEN V AE2 N - D AY1 - K AH0 N
+VANDYNE V AE1 N - D AY2 N
+VANE V EY1 N
+VANEATON V AE1 - N AH0 - T AA0 N
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+VANECK V AA1 - N EH0 K
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+VANEK V AE0 - N EH1 K
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+VANENGEN V AE0 - N EH1 - NG AH0 N
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+VANES V EY1 N Z
+VANESS V AE1 - N AH0 S
+VANESSA V AH0 - N EH1 - S AH0
+VANESSEN V AA1 - N IH0 - S AH0 N
+VANETTEN V AE1 - N EH1 - T AH0 N
+VANEVERY V AH0 - N EH1 - V R IY0
+VANFLEET V AE2 N - F L IY1 T
+VANFOSSAN V AE0 N - F AA1 - S AH0 N
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+VANG V AE1 NG
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+VANGIE V AE1 - NG IY0
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+VANGUILDER V AE0 N - G AY1 L - D ER0
+VANGUNDY V AH0 NG - G AH1 N - D IY0
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+VANHOOK V AE2 N - HH UH1 K
+VANHOOSE V AE2 N - HH UW1 S
+VANHOOSER V AE2 N - HH UW1 - Z ER0
+VANHOOZER V AE2 N - HH UW1 - Z ER0
+VANHORN V AE0 N - HH AO1 R N
+VANHORNE V AE0 N - HH AO1 R N
+VANHOUSEN V AE1 N - HH AW2 - S AH0 N
+VANHOUTEN V AE0 N - HH AA1 - UW0 - T AH0 N
+VANHOVE V AE0 N - HH AH1 V
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+VANIER V AE0 - N IY1 - ER0
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+VANILLI V AH0 - N IH1 - L IY0
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+VANISHED V AE1 - N IH0 SH T
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+VANISHING V AE1 - N IH0 - SH IH0 NG
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+VANKUREN V AE1 NG - K Y UW0 - R AH0 N
+VANLANDINGHAM V AE2 N - L AE1 N - D IH0 NG - HH AE2 M
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+VANLEEUWEN V AE0 N - L UW1 - AH0 N
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+VANLIEW V AE1 N - L IY0 - UW0
+VANLOAN V AE1 N - L OW2 N
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+VANLUE V AE2 N - L UW1
+VANLUVEN V AE2 N - L UW1 - V AH0 N
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+VANNGUYEN V AE0 N - G IY1 - AH0 N
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+VANNORMAN V AE0 - N AO1 R - M AH0 N
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diff --git a/bert_vits2/text/cmudict_cache.pickle b/bert_vits2/text/cmudict_cache.pickle
new file mode 100644
index 0000000000000000000000000000000000000000..cab7f7d732affe0bd8d860a81e770b9bf1f72064
--- /dev/null
+++ b/bert_vits2/text/cmudict_cache.pickle
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b9b21b20325471934ba92f2e4a5976989e7d920caa32e7a286eacb027d197949
+size 6212655
diff --git a/bert_vits2/text/english.py b/bert_vits2/text/english.py
new file mode 100644
index 0000000000000000000000000000000000000000..39be2b49488ee7c8109e1d46603c38c44952c150
--- /dev/null
+++ b/bert_vits2/text/english.py
@@ -0,0 +1,449 @@
+import pickle
+import os
+import re
+from g2p_en import G2p
+
+from bert_vits2.text import symbols
+
+current_file_path = os.path.dirname(__file__)
+CMU_DICT_PATH = os.path.join(current_file_path, "cmudict.rep")
+CACHE_PATH = os.path.join(current_file_path, "cmudict_cache.pickle")
+_g2p = G2p()
+
+arpa = {
+ "AH0",
+ "S",
+ "AH1",
+ "EY2",
+ "AE2",
+ "EH0",
+ "OW2",
+ "UH0",
+ "NG",
+ "B",
+ "G",
+ "AY0",
+ "M",
+ "AA0",
+ "F",
+ "AO0",
+ "ER2",
+ "UH1",
+ "IY1",
+ "AH2",
+ "DH",
+ "IY0",
+ "EY1",
+ "IH0",
+ "K",
+ "N",
+ "W",
+ "IY2",
+ "T",
+ "AA1",
+ "ER1",
+ "EH2",
+ "OY0",
+ "UH2",
+ "UW1",
+ "Z",
+ "AW2",
+ "AW1",
+ "V",
+ "UW2",
+ "AA2",
+ "ER",
+ "AW0",
+ "UW0",
+ "R",
+ "OW1",
+ "EH1",
+ "ZH",
+ "AE0",
+ "IH2",
+ "IH",
+ "Y",
+ "JH",
+ "P",
+ "AY1",
+ "EY0",
+ "OY2",
+ "TH",
+ "HH",
+ "D",
+ "ER0",
+ "CH",
+ "AO1",
+ "AE1",
+ "AO2",
+ "OY1",
+ "AY2",
+ "IH1",
+ "OW0",
+ "L",
+ "SH",
+}
+
+
+def post_replace_ph(ph):
+ rep_map = {
+ "：": ",",
+ "；": ",",
+ "，": ",",
+ "。": ".",
+ "！": "!",
+ "？": "?",
+ "\n": ".",
+ "·": ",",
+ "、": ",",
+ "…": "...",
+ "···": "...",
+ "・・・": "...",
+ "v": "V",
+ }
+ if ph in rep_map.keys():
+ ph = rep_map[ph]
+ if ph in symbols:
+ return ph
+ if ph not in symbols:
+ ph = "UNK"
+ return ph
+
+
+rep_map = {
+ "：": ",",
+ "；": ",",
+ "，": ",",
+ "。": ".",
+ "！": "!",
+ "？": "?",
+ "\n": ".",
+ "．": ".",
+ "…": "...",
+ "···": "...",
+ "・・・": "...",
+ "·": ",",
+ "・": ",",
+ "、": ",",
+ "$": ".",
+ "“": "'",
+ "”": "'",
+ '"': "'",
+ "‘": "'",
+ "’": "'",
+ "（": "'",
+ "）": "'",
+ "(": "'",
+ ")": "'",
+ "《": "'",
+ "》": "'",
+ "【": "'",
+ "】": "'",
+ "[": "'",
+ "]": "'",
+ "—": "-",
+ "−": "-",
+ "～": "-",
+ "~": "-",
+ "「": "'",
+ "」": "'",
+}
+
+
+def replace_punctuation(text):
+ pattern = re.compile("|".join(re.escape(p) for p in rep_map.keys()))
+
+ replaced_text = pattern.sub(lambda x: rep_map[x.group()], text)
+
+ # replaced_text = re.sub(
+ # r"[^\u3040-\u309F\u30A0-\u30FF\u4E00-\u9FFF\u3400-\u4DBF\u3005"
+ # + "".join(punctuation)
+ # + r"]+",
+ # "",
+ # replaced_text,
+ # )
+
+ return replaced_text
+
+
+def read_dict():
+ g2p_dict = {}
+ start_line = 49
+ with open(CMU_DICT_PATH) as f:
+ line = f.readline()
+ line_index = 1
+ while line:
+ if line_index >= start_line:
+ line = line.strip()
+ word_split = line.split(" ")
+ word = word_split[0]
+
+ syllable_split = word_split[1].split(" - ")
+ g2p_dict[word] = []
+ for syllable in syllable_split:
+ phone_split = syllable.split(" ")
+ g2p_dict[word].append(phone_split)
+
+ line_index = line_index + 1
+ line = f.readline()
+
+ return g2p_dict
+
+
+def cache_dict(g2p_dict, file_path):
+ with open(file_path, "wb") as pickle_file:
+ pickle.dump(g2p_dict, pickle_file)
+
+
+def get_dict():
+ if os.path.exists(CACHE_PATH):
+ with open(CACHE_PATH, "rb") as pickle_file:
+ g2p_dict = pickle.load(pickle_file)
+ else:
+ g2p_dict = read_dict()
+ cache_dict(g2p_dict, CACHE_PATH)
+
+ return g2p_dict
+
+
+eng_dict = get_dict()
+
+
+def refine_ph(phn):
+ tone = 0
+ if re.search(r"\d$", phn):
+ tone = int(phn[-1]) + 1
+ phn = phn[:-1]
+ return phn.lower(), tone
+
+
+def refine_syllables(syllables):
+ tones = []
+ phonemes = []
+ for phn_list in syllables:
+ for i in range(len(phn_list)):
+ phn = phn_list[i]
+ phn, tone = refine_ph(phn)
+ phonemes.append(phn)
+ tones.append(tone)
+ return phonemes, tones
+
+
+import re
+import inflect
+
+_inflect = inflect.engine()
+_comma_number_re = re.compile(r"([0-9][0-9\,]+[0-9])")
+_decimal_number_re = re.compile(r"([0-9]+\.[0-9]+)")
+_pounds_re = re.compile(r"£([0-9\,]*[0-9]+)")
+_dollars_re = re.compile(r"\$([0-9\.\,]*[0-9]+)")
+_ordinal_re = re.compile(r"[0-9]+(st|nd|rd|th)")
+_number_re = re.compile(r"[0-9]+")
+
+# List of (regular expression, replacement) pairs for abbreviations:
+_abbreviations = [
+ (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
+ for x in [
+ ("mrs", "misess"),
+ ("mr", "mister"),
+ ("dr", "doctor"),
+ ("st", "saint"),
+ ("co", "company"),
+ ("jr", "junior"),
+ ("maj", "major"),
+ ("gen", "general"),
+ ("drs", "doctors"),
+ ("rev", "reverend"),
+ ("lt", "lieutenant"),
+ ("hon", "honorable"),
+ ("sgt", "sergeant"),
+ ("capt", "captain"),
+ ("esq", "esquire"),
+ ("ltd", "limited"),
+ ("col", "colonel"),
+ ("ft", "fort"),
+ ]
+]
+
+# List of (ipa, lazy ipa) pairs:
+_lazy_ipa = [
+ (re.compile("%s" % x[0]), x[1])
+ for x in [
+ ("r", "ɹ"),
+ ("æ", "e"),
+ ("ɑ", "a"),
+ ("ɔ", "o"),
+ ("ð", "z"),
+ ("θ", "s"),
+ ("ɛ", "e"),
+ ("ɪ", "i"),
+ ("ʊ", "u"),
+ ("ʒ", "ʥ"),
+ ("ʤ", "ʥ"),
+ ("ˈ", "↓"),
+ ]
+]
+
+# List of (ipa, lazy ipa2) pairs:
+_lazy_ipa2 = [
+ (re.compile("%s" % x[0]), x[1])
+ for x in [
+ ("r", "ɹ"),
+ ("ð", "z"),
+ ("θ", "s"),
+ ("ʒ", "ʑ"),
+ ("ʤ", "dʑ"),
+ ("ˈ", "↓"),
+ ]
+]
+
+# List of (ipa, ipa2) pairs
+_ipa_to_ipa2 = [
+ (re.compile("%s" % x[0]), x[1]) for x in [("r", "ɹ"), ("ʤ", "dʒ"), ("ʧ", "tʃ")]
+]
+
+
+def _expand_dollars(m):
+ match = m.group(1)
+ parts = match.split(".")
+ if len(parts) > 2:
+ return match + " dollars" # Unexpected format
+ dollars = int(parts[0]) if parts[0] else 0
+ cents = int(parts[1]) if len(parts) > 1 and parts[1] else 0
+ if dollars and cents:
+ dollar_unit = "dollar" if dollars == 1 else "dollars"
+ cent_unit = "cent" if cents == 1 else "cents"
+ return "%s %s, %s %s" % (dollars, dollar_unit, cents, cent_unit)
+ elif dollars:
+ dollar_unit = "dollar" if dollars == 1 else "dollars"
+ return "%s %s" % (dollars, dollar_unit)
+ elif cents:
+ cent_unit = "cent" if cents == 1 else "cents"
+ return "%s %s" % (cents, cent_unit)
+ else:
+ return "zero dollars"
+
+
+def _remove_commas(m):
+ return m.group(1).replace(",", "")
+
+
+def _expand_ordinal(m):
+ return _inflect.number_to_words(m.group(0))
+
+
+def _expand_number(m):
+ num = int(m.group(0))
+ if num > 1000 and num < 3000:
+ if num == 2000:
+ return "two thousand"
+ elif num > 2000 and num < 2010:
+ return "two thousand " + _inflect.number_to_words(num % 100)
+ elif num % 100 == 0:
+ return _inflect.number_to_words(num // 100) + " hundred"
+ else:
+ return _inflect.number_to_words(
+ num, andword="", zero="oh", group=2
+ ).replace(", ", " ")
+ else:
+ return _inflect.number_to_words(num, andword="")
+
+
+def _expand_decimal_point(m):
+ return m.group(1).replace(".", " point ")
+
+
+def normalize_numbers(text):
+ text = re.sub(_comma_number_re, _remove_commas, text)
+ text = re.sub(_pounds_re, r"\1 pounds", text)
+ text = re.sub(_dollars_re, _expand_dollars, text)
+ text = re.sub(_decimal_number_re, _expand_decimal_point, text)
+ text = re.sub(_ordinal_re, _expand_ordinal, text)
+ text = re.sub(_number_re, _expand_number, text)
+ return text
+
+
+def text_normalize(text):
+ text = normalize_numbers(text)
+ text = replace_punctuation(text)
+ text = re.sub(r"([,;.\?\!])([\w])", r"\1 \2", text)
+ return text
+
+
+def distribute_phone(n_phone, n_word):
+ phones_per_word = [0] * n_word
+ for task in range(n_phone):
+ min_tasks = min(phones_per_word)
+ min_index = phones_per_word.index(min_tasks)
+ phones_per_word[min_index] += 1
+ return phones_per_word
+
+
+def sep_text(text):
+ words = re.split(r"([,;.\?\!\s+])", text)
+ words = [word for word in words if word.strip() != ""]
+ return words
+
+
+def g2p(text, tokenizer, **kwargs):
+ phones = []
+ tones = []
+ # word2ph = []
+ words = sep_text(text)
+ tokens = [tokenizer.tokenize(i) for i in words]
+ for word in words:
+ if word.upper() in eng_dict:
+ phns, tns = refine_syllables(eng_dict[word.upper()])
+ phones.append([post_replace_ph(i) for i in phns])
+ tones.append(tns)
+ # word2ph.append(len(phns))
+ else:
+ phone_list = list(filter(lambda p: p != " ", _g2p(word)))
+ phns = []
+ tns = []
+ for ph in phone_list:
+ if ph in arpa:
+ ph, tn = refine_ph(ph)
+ phns.append(ph)
+ tns.append(tn)
+ else:
+ phns.append(ph)
+ tns.append(0)
+ phones.append([post_replace_ph(i) for i in phns])
+ tones.append(tns)
+ # word2ph.append(len(phns))
+ # phones = [post_replace_ph(i) for i in phones]
+
+ word2ph = []
+ for token, phoneme in zip(tokens, phones):
+ phone_len = len(phoneme)
+ word_len = len(token)
+
+ aaa = distribute_phone(phone_len, word_len)
+ word2ph += aaa
+
+ phones = ["_"] + [j for i in phones for j in i] + ["_"]
+ tones = [0] + [j for i in tones for j in i] + [0]
+ word2ph = [1] + word2ph + [1]
+ assert len(phones) == len(tones), text
+ assert len(phones) == sum(word2ph), text
+
+ return phones, tones, word2ph
+
+
+def get_bert_feature(text, word2ph):
+ from bert_vits2.text import english_bert_mock
+
+ return english_bert_mock.get_bert_feature(text, word2ph)
+
+
+if __name__ == "__main__":
+ # print(get_dict())
+ # print(eng_word_to_phoneme("hello"))
+ print(g2p("In this paper, we propose 1 DSPGAN, a GAN-based universal vocoder."))
+ # all_phones = set()
+ # for k, syllables in eng_dict.items():
+ # for group in syllables:
+ # for ph in group:
+ # all_phones.add(ph)
+ # print(all_phones)
diff --git a/bert_vits2/text/english_bert_mock.py b/bert_vits2/text/english_bert_mock.py
new file mode 100644
index 0000000000000000000000000000000000000000..b9d91975f290a990a2df4fd45a267a0d1ea5d05f
--- /dev/null
+++ b/bert_vits2/text/english_bert_mock.py
@@ -0,0 +1,36 @@
+import torch
+
+from contants import config
+
+
+def get_bert_feature(text, word2ph, tokenizer, model, device=config.system.device, style_text=None, style_weight=0.7,
+ **kwargs):
+ with torch.no_grad():
+ inputs = tokenizer(text, return_tensors="pt")
+ for i in inputs:
+ inputs[i] = inputs[i].to(device)
+ res = model(**inputs, output_hidden_states=True)
+ res = torch.cat(res["hidden_states"][-3:-2], -1)[0].float().cpu()
+ if style_text:
+ style_inputs = tokenizer(style_text, return_tensors="pt")
+ for i in style_inputs:
+ style_inputs[i] = style_inputs[i].to(device)
+ style_res = model(**style_inputs, output_hidden_states=True)
+ style_res = torch.cat(style_res["hidden_states"][-3:-2], -1)[0].float().cpu()
+ style_res_mean = style_res.mean(0)
+ assert len(word2ph) == res.shape[0], (text, res.shape[0], len(word2ph))
+ word2phone = word2ph
+ phone_level_feature = []
+ for i in range(len(word2phone)):
+ if style_text:
+ repeat_feature = (
+ res[i].repeat(word2phone[i], 1) * (1 - style_weight)
+ + style_res_mean.repeat(word2phone[i], 1) * style_weight
+ )
+ else:
+ repeat_feature = res[i].repeat(word2phone[i], 1)
+ phone_level_feature.append(repeat_feature)
+
+ phone_level_feature = torch.cat(phone_level_feature, dim=0)
+
+ return phone_level_feature.T
diff --git a/bert_vits2/text/english_bert_mock_v200.py b/bert_vits2/text/english_bert_mock_v200.py
new file mode 100644
index 0000000000000000000000000000000000000000..eb1ff375c592bce84e6dc75d2b72fff6fc860156
--- /dev/null
+++ b/bert_vits2/text/english_bert_mock_v200.py
@@ -0,0 +1,22 @@
+import torch
+
+from contants import config
+
+
+def get_bert_feature(text, word2ph, tokenizer, model, device=config.system.device, **kwargs):
+ with torch.no_grad():
+ inputs = tokenizer(text, return_tensors="pt")
+ for i in inputs:
+ inputs[i] = inputs[i].to(device)
+ res = model(**inputs, output_hidden_states=True)
+ res = torch.cat(res["hidden_states"][-3:-2], -1)[0].float().cpu()
+ # assert len(word2ph) == len(text)+2
+ word2phone = word2ph
+ phone_level_feature = []
+ for i in range(len(word2phone)):
+ repeat_feature = res[i].repeat(word2phone[i], 1)
+ phone_level_feature.append(repeat_feature)
+
+ phone_level_feature = torch.cat(phone_level_feature, dim=0)
+
+ return phone_level_feature.T
diff --git a/bert_vits2/text/english_v200.py b/bert_vits2/text/english_v200.py
new file mode 100644
index 0000000000000000000000000000000000000000..1c20f6820708205591ce28e8f49bc277cf325d8c
--- /dev/null
+++ b/bert_vits2/text/english_v200.py
@@ -0,0 +1,360 @@
+import pickle
+import os
+from g2p_en import G2p
+
+from bert_vits2.text import symbols
+
+current_file_path = os.path.dirname(__file__)
+CMU_DICT_PATH = os.path.join(current_file_path, "cmudict.rep")
+CACHE_PATH = os.path.join(current_file_path, "cmudict_cache.pickle")
+_g2p = G2p()
+
+arpa = {
+ "AH0",
+ "S",
+ "AH1",
+ "EY2",
+ "AE2",
+ "EH0",
+ "OW2",
+ "UH0",
+ "NG",
+ "B",
+ "G",
+ "AY0",
+ "M",
+ "AA0",
+ "F",
+ "AO0",
+ "ER2",
+ "UH1",
+ "IY1",
+ "AH2",
+ "DH",
+ "IY0",
+ "EY1",
+ "IH0",
+ "K",
+ "N",
+ "W",
+ "IY2",
+ "T",
+ "AA1",
+ "ER1",
+ "EH2",
+ "OY0",
+ "UH2",
+ "UW1",
+ "Z",
+ "AW2",
+ "AW1",
+ "V",
+ "UW2",
+ "AA2",
+ "ER",
+ "AW0",
+ "UW0",
+ "R",
+ "OW1",
+ "EH1",
+ "ZH",
+ "AE0",
+ "IH2",
+ "IH",
+ "Y",
+ "JH",
+ "P",
+ "AY1",
+ "EY0",
+ "OY2",
+ "TH",
+ "HH",
+ "D",
+ "ER0",
+ "CH",
+ "AO1",
+ "AE1",
+ "AO2",
+ "OY1",
+ "AY2",
+ "IH1",
+ "OW0",
+ "L",
+ "SH",
+}
+
+
+def post_replace_ph(ph):
+ rep_map = {
+ "：": ",",
+ "；": ",",
+ "，": ",",
+ "。": ".",
+ "！": "!",
+ "？": "?",
+ "\n": ".",
+ "·": ",",
+ "、": ",",
+ "...": "…",
+ "v": "V",
+ }
+ if ph in rep_map.keys():
+ ph = rep_map[ph]
+ if ph in symbols:
+ return ph
+ if ph not in symbols:
+ ph = "UNK"
+ return ph
+
+
+def read_dict():
+ g2p_dict = {}
+ start_line = 49
+ with open(CMU_DICT_PATH) as f:
+ line = f.readline()
+ line_index = 1
+ while line:
+ if line_index >= start_line:
+ line = line.strip()
+ word_split = line.split(" ")
+ word = word_split[0]
+
+ syllable_split = word_split[1].split(" - ")
+ g2p_dict[word] = []
+ for syllable in syllable_split:
+ phone_split = syllable.split(" ")
+ g2p_dict[word].append(phone_split)
+
+ line_index = line_index + 1
+ line = f.readline()
+
+ return g2p_dict
+
+
+def cache_dict(g2p_dict, file_path):
+ with open(file_path, "wb") as pickle_file:
+ pickle.dump(g2p_dict, pickle_file)
+
+
+def get_dict():
+ if os.path.exists(CACHE_PATH):
+ with open(CACHE_PATH, "rb") as pickle_file:
+ g2p_dict = pickle.load(pickle_file)
+ else:
+ g2p_dict = read_dict()
+ cache_dict(g2p_dict, CACHE_PATH)
+
+ return g2p_dict
+
+
+eng_dict = get_dict()
+
+
+def refine_ph(phn):
+ tone = 0
+ if re.search(r"\d$", phn):
+ tone = int(phn[-1]) + 1
+ phn = phn[:-1]
+ return phn.lower(), tone
+
+
+def refine_syllables(syllables):
+ tones = []
+ phonemes = []
+ for phn_list in syllables:
+ for i in range(len(phn_list)):
+ phn = phn_list[i]
+ phn, tone = refine_ph(phn)
+ phonemes.append(phn)
+ tones.append(tone)
+ return phonemes, tones
+
+
+import re
+import inflect
+
+_inflect = inflect.engine()
+_comma_number_re = re.compile(r"([0-9][0-9\,]+[0-9])")
+_decimal_number_re = re.compile(r"([0-9]+\.[0-9]+)")
+_pounds_re = re.compile(r"£([0-9\,]*[0-9]+)")
+_dollars_re = re.compile(r"\$([0-9\.\,]*[0-9]+)")
+_ordinal_re = re.compile(r"[0-9]+(st|nd|rd|th)")
+_number_re = re.compile(r"[0-9]+")
+
+# List of (regular expression, replacement) pairs for abbreviations:
+_abbreviations = [
+ (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
+ for x in [
+ ("mrs", "misess"),
+ ("mr", "mister"),
+ ("dr", "doctor"),
+ ("st", "saint"),
+ ("co", "company"),
+ ("jr", "junior"),
+ ("maj", "major"),
+ ("gen", "general"),
+ ("drs", "doctors"),
+ ("rev", "reverend"),
+ ("lt", "lieutenant"),
+ ("hon", "honorable"),
+ ("sgt", "sergeant"),
+ ("capt", "captain"),
+ ("esq", "esquire"),
+ ("ltd", "limited"),
+ ("col", "colonel"),
+ ("ft", "fort"),
+ ]
+]
+
+# List of (ipa, lazy ipa) pairs:
+_lazy_ipa = [
+ (re.compile("%s" % x[0]), x[1])
+ for x in [
+ ("r", "ɹ"),
+ ("æ", "e"),
+ ("ɑ", "a"),
+ ("ɔ", "o"),
+ ("ð", "z"),
+ ("θ", "s"),
+ ("ɛ", "e"),
+ ("ɪ", "i"),
+ ("ʊ", "u"),
+ ("ʒ", "ʥ"),
+ ("ʤ", "ʥ"),
+ ("ˈ", "↓"),
+ ]
+]
+
+# List of (ipa, lazy ipa2) pairs:
+_lazy_ipa2 = [
+ (re.compile("%s" % x[0]), x[1])
+ for x in [
+ ("r", "ɹ"),
+ ("ð", "z"),
+ ("θ", "s"),
+ ("ʒ", "ʑ"),
+ ("ʤ", "dʑ"),
+ ("ˈ", "↓"),
+ ]
+]
+
+# List of (ipa, ipa2) pairs
+_ipa_to_ipa2 = [
+ (re.compile("%s" % x[0]), x[1]) for x in [("r", "ɹ"), ("ʤ", "dʒ"), ("ʧ", "tʃ")]
+]
+
+
+def _expand_dollars(m):
+ match = m.group(1)
+ parts = match.split(".")
+ if len(parts) > 2:
+ return match + " dollars" # Unexpected format
+ dollars = int(parts[0]) if parts[0] else 0
+ cents = int(parts[1]) if len(parts) > 1 and parts[1] else 0
+ if dollars and cents:
+ dollar_unit = "dollar" if dollars == 1 else "dollars"
+ cent_unit = "cent" if cents == 1 else "cents"
+ return "%s %s, %s %s" % (dollars, dollar_unit, cents, cent_unit)
+ elif dollars:
+ dollar_unit = "dollar" if dollars == 1 else "dollars"
+ return "%s %s" % (dollars, dollar_unit)
+ elif cents:
+ cent_unit = "cent" if cents == 1 else "cents"
+ return "%s %s" % (cents, cent_unit)
+ else:
+ return "zero dollars"
+
+
+def _remove_commas(m):
+ return m.group(1).replace(",", "")
+
+
+def _expand_ordinal(m):
+ return _inflect.number_to_words(m.group(0))
+
+
+def _expand_number(m):
+ num = int(m.group(0))
+ if num > 1000 and num < 3000:
+ if num == 2000:
+ return "two thousand"
+ elif num > 2000 and num < 2010:
+ return "two thousand " + _inflect.number_to_words(num % 100)
+ elif num % 100 == 0:
+ return _inflect.number_to_words(num // 100) + " hundred"
+ else:
+ return _inflect.number_to_words(
+ num, andword="", zero="oh", group=2
+ ).replace(", ", " ")
+ else:
+ return _inflect.number_to_words(num, andword="")
+
+
+def _expand_decimal_point(m):
+ return m.group(1).replace(".", " point ")
+
+
+def normalize_numbers(text):
+ text = re.sub(_comma_number_re, _remove_commas, text)
+ text = re.sub(_pounds_re, r"\1 pounds", text)
+ text = re.sub(_dollars_re, _expand_dollars, text)
+ text = re.sub(_decimal_number_re, _expand_decimal_point, text)
+ text = re.sub(_ordinal_re, _expand_ordinal, text)
+ text = re.sub(_number_re, _expand_number, text)
+ return text
+
+
+def text_normalize(text):
+ text = normalize_numbers(text)
+ return text
+
+
+def g2p(text, **kwargs):
+ phones = []
+ tones = []
+ word2ph = []
+ words = re.split(r"([,;.\-\?\!\s+])", text)
+ words = [word for word in words if word.strip() != ""]
+ for word in words:
+ if word.upper() in eng_dict:
+ phns, tns = refine_syllables(eng_dict[word.upper()])
+ phones += phns
+ tones += tns
+ word2ph.append(len(phns))
+ else:
+ phone_list = list(filter(lambda p: p != " ", _g2p(word)))
+ for ph in phone_list:
+ if ph in arpa:
+ ph, tn = refine_ph(ph)
+ phones.append(ph)
+ tones.append(tn)
+ else:
+ phones.append(ph)
+ tones.append(0)
+ word2ph.append(len(phone_list))
+
+ phones = [post_replace_ph(i) for i in phones]
+
+ phones = ["_"] + phones + ["_"]
+ tones = [0] + tones + [0]
+ word2ph = [1] + word2ph + [1]
+
+ return phones, tones, word2ph
+
+
+def get_bert_feature(text, word2ph):
+ from bert_vits2.text import english_bert_mock
+
+ return english_bert_mock.get_bert_feature(text, word2ph)
+
+
+if __name__ == "__main__":
+ # print(get_dict())
+ # print(eng_word_to_phoneme("hello"))
+ print(g2p("In this paper, we propose 1 DSPGAN, a GAN-based universal vocoder."))
+ # all_phones = set()
+ # for k, syllables in eng_dict.items():
+ # for group in syllables:
+ # for ph in group:
+ # all_phones.add(ph)
+ # print(all_phones)
diff --git a/bert_vits2/text/english_v230.py b/bert_vits2/text/english_v230.py
new file mode 100644
index 0000000000000000000000000000000000000000..50c6afc31594dafd3b0405531ed54732c02a7298
--- /dev/null
+++ b/bert_vits2/text/english_v230.py
@@ -0,0 +1,493 @@
+import pickle
+import os
+from g2p_en import G2p
+from transformers import DebertaV2Tokenizer
+
+from bert_vits2.text import symbols
+from bert_vits2.text.symbols import punctuation
+
+current_file_path = os.path.dirname(__file__)
+CMU_DICT_PATH = os.path.join(current_file_path, "cmudict.rep")
+CACHE_PATH = os.path.join(current_file_path, "cmudict_cache.pickle")
+_g2p = G2p()
+LOCAL_PATH = "./bert/deberta-v3-large"
+# tokenizer = DebertaV2Tokenizer.from_pretrained(LOCAL_PATH)
+
+arpa = {
+ "AH0",
+ "S",
+ "AH1",
+ "EY2",
+ "AE2",
+ "EH0",
+ "OW2",
+ "UH0",
+ "NG",
+ "B",
+ "G",
+ "AY0",
+ "M",
+ "AA0",
+ "F",
+ "AO0",
+ "ER2",
+ "UH1",
+ "IY1",
+ "AH2",
+ "DH",
+ "IY0",
+ "EY1",
+ "IH0",
+ "K",
+ "N",
+ "W",
+ "IY2",
+ "T",
+ "AA1",
+ "ER1",
+ "EH2",
+ "OY0",
+ "UH2",
+ "UW1",
+ "Z",
+ "AW2",
+ "AW1",
+ "V",
+ "UW2",
+ "AA2",
+ "ER",
+ "AW0",
+ "UW0",
+ "R",
+ "OW1",
+ "EH1",
+ "ZH",
+ "AE0",
+ "IH2",
+ "IH",
+ "Y",
+ "JH",
+ "P",
+ "AY1",
+ "EY0",
+ "OY2",
+ "TH",
+ "HH",
+ "D",
+ "ER0",
+ "CH",
+ "AO1",
+ "AE1",
+ "AO2",
+ "OY1",
+ "AY2",
+ "IH1",
+ "OW0",
+ "L",
+ "SH",
+}
+
+
+def post_replace_ph(ph):
+ rep_map = {
+ "：": ",",
+ "；": ",",
+ "，": ",",
+ "。": ".",
+ "！": "!",
+ "？": "?",
+ "\n": ".",
+ "·": ",",
+ "、": ",",
+ "…": "...",
+ "···": "...",
+ "・・・": "...",
+ "v": "V",
+ }
+ if ph in rep_map.keys():
+ ph = rep_map[ph]
+ if ph in symbols:
+ return ph
+ if ph not in symbols:
+ ph = "UNK"
+ return ph
+
+
+rep_map = {
+ "：": ",",
+ "；": ",",
+ "，": ",",
+ "。": ".",
+ "！": "!",
+ "？": "?",
+ "\n": ".",
+ "．": ".",
+ "…": "...",
+ "···": "...",
+ "・・・": "...",
+ "·": ",",
+ "・": ",",
+ "、": ",",
+ "$": ".",
+ "“": "'",
+ "”": "'",
+ '"': "'",
+ "‘": "'",
+ "’": "'",
+ "（": "'",
+ "）": "'",
+ "(": "'",
+ ")": "'",
+ "《": "'",
+ "》": "'",
+ "【": "'",
+ "】": "'",
+ "[": "'",
+ "]": "'",
+ "—": "-",
+ "−": "-",
+ "～": "-",
+ "~": "-",
+ "「": "'",
+ "」": "'",
+}
+
+
+def replace_punctuation(text):
+ pattern = re.compile("|".join(re.escape(p) for p in rep_map.keys()))
+
+ replaced_text = pattern.sub(lambda x: rep_map[x.group()], text)
+
+ # replaced_text = re.sub(
+ # r"[^\u3040-\u309F\u30A0-\u30FF\u4E00-\u9FFF\u3400-\u4DBF\u3005"
+ # + "".join(punctuation)
+ # + r"]+",
+ # "",
+ # replaced_text,
+ # )
+
+ return replaced_text
+
+
+def read_dict():
+ g2p_dict = {}
+ start_line = 49
+ with open(CMU_DICT_PATH) as f:
+ line = f.readline()
+ line_index = 1
+ while line:
+ if line_index >= start_line:
+ line = line.strip()
+ word_split = line.split(" ")
+ word = word_split[0]
+
+ syllable_split = word_split[1].split(" - ")
+ g2p_dict[word] = []
+ for syllable in syllable_split:
+ phone_split = syllable.split(" ")
+ g2p_dict[word].append(phone_split)
+
+ line_index = line_index + 1
+ line = f.readline()
+
+ return g2p_dict
+
+
+def cache_dict(g2p_dict, file_path):
+ with open(file_path, "wb") as pickle_file:
+ pickle.dump(g2p_dict, pickle_file)
+
+
+def get_dict():
+ if os.path.exists(CACHE_PATH):
+ with open(CACHE_PATH, "rb") as pickle_file:
+ g2p_dict = pickle.load(pickle_file)
+ else:
+ g2p_dict = read_dict()
+ cache_dict(g2p_dict, CACHE_PATH)
+
+ return g2p_dict
+
+
+eng_dict = get_dict()
+
+
+def refine_ph(phn):
+ tone = 0
+ if re.search(r"\d$", phn):
+ tone = int(phn[-1]) + 1
+ phn = phn[:-1]
+ else:
+ tone = 3
+ return phn.lower(), tone
+
+
+def refine_syllables(syllables):
+ tones = []
+ phonemes = []
+ for phn_list in syllables:
+ for i in range(len(phn_list)):
+ phn = phn_list[i]
+ phn, tone = refine_ph(phn)
+ phonemes.append(phn)
+ tones.append(tone)
+ return phonemes, tones
+
+
+import re
+import inflect
+
+_inflect = inflect.engine()
+_comma_number_re = re.compile(r"([0-9][0-9\,]+[0-9])")
+_decimal_number_re = re.compile(r"([0-9]+\.[0-9]+)")
+_pounds_re = re.compile(r"£([0-9\,]*[0-9]+)")
+_dollars_re = re.compile(r"\$([0-9\.\,]*[0-9]+)")
+_ordinal_re = re.compile(r"[0-9]+(st|nd|rd|th)")
+_number_re = re.compile(r"[0-9]+")
+
+# List of (regular expression, replacement) pairs for abbreviations:
+_abbreviations = [
+ (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
+ for x in [
+ ("mrs", "misess"),
+ ("mr", "mister"),
+ ("dr", "doctor"),
+ ("st", "saint"),
+ ("co", "company"),
+ ("jr", "junior"),
+ ("maj", "major"),
+ ("gen", "general"),
+ ("drs", "doctors"),
+ ("rev", "reverend"),
+ ("lt", "lieutenant"),
+ ("hon", "honorable"),
+ ("sgt", "sergeant"),
+ ("capt", "captain"),
+ ("esq", "esquire"),
+ ("ltd", "limited"),
+ ("col", "colonel"),
+ ("ft", "fort"),
+ ]
+]
+
+# List of (ipa, lazy ipa) pairs:
+_lazy_ipa = [
+ (re.compile("%s" % x[0]), x[1])
+ for x in [
+ ("r", "ɹ"),
+ ("æ", "e"),
+ ("ɑ", "a"),
+ ("ɔ", "o"),
+ ("ð", "z"),
+ ("θ", "s"),
+ ("ɛ", "e"),
+ ("ɪ", "i"),
+ ("ʊ", "u"),
+ ("ʒ", "ʥ"),
+ ("ʤ", "ʥ"),
+ ("ˈ", "↓"),
+ ]
+]
+
+# List of (ipa, lazy ipa2) pairs:
+_lazy_ipa2 = [
+ (re.compile("%s" % x[0]), x[1])
+ for x in [
+ ("r", "ɹ"),
+ ("ð", "z"),
+ ("θ", "s"),
+ ("ʒ", "ʑ"),
+ ("ʤ", "dʑ"),
+ ("ˈ", "↓"),
+ ]
+]
+
+# List of (ipa, ipa2) pairs
+_ipa_to_ipa2 = [
+ (re.compile("%s" % x[0]), x[1]) for x in [("r", "ɹ"), ("ʤ", "dʒ"), ("ʧ", "tʃ")]
+]
+
+
+def _expand_dollars(m):
+ match = m.group(1)
+ parts = match.split(".")
+ if len(parts) > 2:
+ return match + " dollars" # Unexpected format
+ dollars = int(parts[0]) if parts[0] else 0
+ cents = int(parts[1]) if len(parts) > 1 and parts[1] else 0
+ if dollars and cents:
+ dollar_unit = "dollar" if dollars == 1 else "dollars"
+ cent_unit = "cent" if cents == 1 else "cents"
+ return "%s %s, %s %s" % (dollars, dollar_unit, cents, cent_unit)
+ elif dollars:
+ dollar_unit = "dollar" if dollars == 1 else "dollars"
+ return "%s %s" % (dollars, dollar_unit)
+ elif cents:
+ cent_unit = "cent" if cents == 1 else "cents"
+ return "%s %s" % (cents, cent_unit)
+ else:
+ return "zero dollars"
+
+
+def _remove_commas(m):
+ return m.group(1).replace(",", "")
+
+
+def _expand_ordinal(m):
+ return _inflect.number_to_words(m.group(0))
+
+
+def _expand_number(m):
+ num = int(m.group(0))
+ if num > 1000 and num < 3000:
+ if num == 2000:
+ return "two thousand"
+ elif num > 2000 and num < 2010:
+ return "two thousand " + _inflect.number_to_words(num % 100)
+ elif num % 100 == 0:
+ return _inflect.number_to_words(num // 100) + " hundred"
+ else:
+ return _inflect.number_to_words(
+ num, andword="", zero="oh", group=2
+ ).replace(", ", " ")
+ else:
+ return _inflect.number_to_words(num, andword="")
+
+
+def _expand_decimal_point(m):
+ return m.group(1).replace(".", " point ")
+
+
+def normalize_numbers(text):
+ text = re.sub(_comma_number_re, _remove_commas, text)
+ text = re.sub(_pounds_re, r"\1 pounds", text)
+ text = re.sub(_dollars_re, _expand_dollars, text)
+ text = re.sub(_decimal_number_re, _expand_decimal_point, text)
+ text = re.sub(_ordinal_re, _expand_ordinal, text)
+ text = re.sub(_number_re, _expand_number, text)
+ return text
+
+
+def text_normalize(text):
+ text = normalize_numbers(text)
+ text = replace_punctuation(text)
+ text = re.sub(r"([,;.\?\!])([\w])", r"\1 \2", text)
+ return text
+
+
+def distribute_phone(n_phone, n_word):
+ phones_per_word = [0] * n_word
+ for task in range(n_phone):
+ min_tasks = min(phones_per_word)
+ min_index = phones_per_word.index(min_tasks)
+ phones_per_word[min_index] += 1
+ return phones_per_word
+
+
+def sep_text(text):
+ words = re.split(r"([,;.\?\!\s+])", text)
+ words = [word for word in words if word.strip() != ""]
+ return words
+
+
+def text_to_words(text, tokenizer):
+ tokens = tokenizer.tokenize(text)
+ words = []
+ for idx, t in enumerate(tokens):
+ if t.startswith("▁"):
+ words.append([t[1:]])
+ else:
+ if t in punctuation:
+ if idx == len(tokens) - 1:
+ words.append([f"{t}"])
+ else:
+ if (
+ not tokens[idx + 1].startswith("▁")
+ and tokens[idx + 1] not in punctuation
+ ):
+ if idx == 0:
+ words.append([])
+ words[-1].append(f"{t}")
+ else:
+ words.append([f"{t}"])
+ else:
+ if idx == 0:
+ words.append([])
+ words[-1].append(f"{t}")
+ return words
+
+
+def g2p(text, tokenizer, **kwargs):
+ phones = []
+ tones = []
+ phone_len = []
+ # words = sep_text(text)
+ # tokens = [tokenizer.tokenize(i) for i in words]
+ words = text_to_words(text, tokenizer)
+
+ for word in words:
+ temp_phones, temp_tones = [], []
+ if len(word) > 1:
+ if "'" in word:
+ word = ["".join(word)]
+ for w in word:
+ if w in punctuation:
+ temp_phones.append(w)
+ temp_tones.append(0)
+ continue
+ if w.upper() in eng_dict:
+ phns, tns = refine_syllables(eng_dict[w.upper()])
+ temp_phones += [post_replace_ph(i) for i in phns]
+ temp_tones += tns
+ # w2ph.append(len(phns))
+ else:
+ phone_list = list(filter(lambda p: p != " ", _g2p(w)))
+ phns = []
+ tns = []
+ for ph in phone_list:
+ if ph in arpa:
+ ph, tn = refine_ph(ph)
+ phns.append(ph)
+ tns.append(tn)
+ else:
+ phns.append(ph)
+ tns.append(0)
+ temp_phones += [post_replace_ph(i) for i in phns]
+ temp_tones += tns
+ phones += temp_phones
+ tones += temp_tones
+ phone_len.append(len(temp_phones))
+ # phones = [post_replace_ph(i) for i in phones]
+
+ word2ph = []
+ for token, pl in zip(words, phone_len):
+ word_len = len(token)
+
+ aaa = distribute_phone(pl, word_len)
+ word2ph += aaa
+
+ phones = ["_"] + phones + ["_"]
+ tones = [0] + tones + [0]
+ word2ph = [1] + word2ph + [1]
+ assert len(phones) == len(tones), text
+ assert len(phones) == sum(word2ph), text
+
+ return phones, tones, word2ph
+
+
+def get_bert_feature(text, word2ph):
+ from bert_vits2.text import english_bert_mock
+
+ return english_bert_mock.get_bert_feature(text, word2ph)
+
+
+if __name__ == "__main__":
+ # print(get_dict())
+ # print(eng_word_to_phoneme("hello"))
+ print(g2p("In this paper, we propose 1 DSPGAN, a GAN-based universal vocoder."))
+ # all_phones = set()
+ # for k, syllables in eng_dict.items():
+ # for group in syllables:
+ # for ph in group:
+ # all_phones.add(ph)
+ # print(all_phones)
diff --git a/bert_vits2/text/japanese.py b/bert_vits2/text/japanese.py
new file mode 100644
index 0000000000000000000000000000000000000000..284088dc4127f28f0a76b4c70f93ee4d90d4943d
--- /dev/null
+++ b/bert_vits2/text/japanese.py
@@ -0,0 +1,428 @@
+# Convert Japanese text to phonemes which is
+# compatible with Julius https://github.com/julius-speech/segmentation-kit
+import re
+import unicodedata
+
+from bert_vits2.text import punctuation, symbols
+
+from num2words import num2words
+
+import pyopenjtalk
+import jaconv
+
+
+def kata2phoneme(text: str) -> str:
+ """Convert katakana text to phonemes."""
+ text = text.strip()
+ if text == "ー":
+ return ["ー"]
+ elif text.startswith("ー"):
+ return ["ー"] + kata2phoneme(text[1:])
+ res = []
+ prev = None
+ while text:
+ if re.match(_MARKS, text):
+ res.append(text)
+ text = text[1:]
+ continue
+ if text.startswith("ー"):
+ if prev:
+ res.append(prev[-1])
+ text = text[1:]
+ continue
+ res += pyopenjtalk.g2p(text).lower().replace("cl", "q").split(" ")
+ break
+ # res = _COLON_RX.sub(":", res)
+ return res
+
+
+def hira2kata(text: str) -> str:
+ return jaconv.hira2kata(text)
+
+
+_SYMBOL_TOKENS = set(list("・、。？！"))
+_NO_YOMI_TOKENS = set(list("「」『』―（）［］[]"))
+_MARKS = re.compile(
+ r"[^A-Za-z\d\u3005\u3040-\u30ff\u4e00-\u9fff\uff11-\uff19\uff21-\uff3a\uff41-\uff5a\uff66-\uff9d]"
+)
+
+
+def text2kata(text: str) -> str:
+ parsed = pyopenjtalk.run_frontend(text)
+
+ res = []
+ for parts in parsed:
+ word, yomi = replace_punctuation(parts["string"]), parts["pron"].replace(
+ "’", ""
+ )
+ if yomi:
+ if re.match(_MARKS, yomi):
+ if len(word) > 1:
+ word = [replace_punctuation(i) for i in list(word)]
+ yomi = word
+ res += yomi
+ sep += word
+ continue
+ elif word not in rep_map.keys() and word not in rep_map.values():
+ word = ","
+ yomi = word
+ res.append(yomi)
+ else:
+ if word in _SYMBOL_TOKENS:
+ res.append(word)
+ elif word in ("っ", "ッ"):
+ res.append("ッ")
+ elif word in _NO_YOMI_TOKENS:
+ pass
+ else:
+ res.append(word)
+ return hira2kata("".join(res))
+
+
+def text2sep_kata(text: str) -> (list, list):
+ parsed = pyopenjtalk.run_frontend(text)
+
+ res = []
+ sep = []
+ for parts in parsed:
+ word, yomi = replace_punctuation(parts["string"]), parts["pron"].replace(
+ "’", ""
+ )
+ if yomi:
+ if re.match(_MARKS, yomi):
+ if len(word) > 1:
+ word = [replace_punctuation(i) for i in list(word)]
+ yomi = word
+ res += yomi
+ sep += word
+ continue
+ elif word not in rep_map.keys() and word not in rep_map.values():
+ word = ","
+ yomi = word
+ res.append(yomi)
+ else:
+ if word in _SYMBOL_TOKENS:
+ res.append(word)
+ elif word in ("っ", "ッ"):
+ res.append("ッ")
+ elif word in _NO_YOMI_TOKENS:
+ pass
+ else:
+ res.append(word)
+ sep.append(word)
+ return sep, [hira2kata(i) for i in res], get_accent(parsed)
+
+
+def get_accent(parsed):
+ labels = pyopenjtalk.make_label(parsed)
+
+ phonemes = []
+ accents = []
+ for n, label in enumerate(labels):
+ phoneme = re.search(r"\-([^\+]*)\+", label).group(1)
+ if phoneme not in ["sil", "pau"]:
+ phonemes.append(phoneme.replace("cl", "q").lower())
+ else:
+ continue
+ a1 = int(re.search(r"/A:(\-?[0-9]+)\+", label).group(1))
+ a2 = int(re.search(r"\+(\d+)\+", label).group(1))
+ if re.search(r"\-([^\+]*)\+", labels[n + 1]).group(1) in ["sil", "pau"]:
+ a2_next = -1
+ else:
+ a2_next = int(re.search(r"\+(\d+)\+", labels[n + 1]).group(1))
+ # Falling
+ if a1 == 0 and a2_next == a2 + 1:
+ accents.append(-1)
+ # Rising
+ elif a2 == 1 and a2_next == 2:
+ accents.append(1)
+ else:
+ accents.append(0)
+ return list(zip(phonemes, accents))
+
+
+_ALPHASYMBOL_YOMI = {
+ "#": "シャープ",
+ "%": "パーセント",
+ "&": "アンド",
+ "+": "プラス",
+ "-": "マイナス",
+ ":": "コロン",
+ ";": "セミコロン",
+ "<": "小なり",
+ "=": "イコール",
+ ">": "大なり",
+ "@": "アット",
+ "a": "エー",
+ "b": "ビー",
+ "c": "シー",
+ "d": "ディー",
+ "e": "イー",
+ "f": "エフ",
+ "g": "ジー",
+ "h": "エイチ",
+ "i": "アイ",
+ "j": "ジェー",
+ "k": "ケー",
+ "l": "エル",
+ "m": "エム",
+ "n": "エヌ",
+ "o": "オー",
+ "p": "ピー",
+ "q": "キュー",
+ "r": "アール",
+ "s": "エス",
+ "t": "ティー",
+ "u": "ユー",
+ "v": "ブイ",
+ "w": "ダブリュー",
+ "x": "エックス",
+ "y": "ワイ",
+ "z": "ゼット",
+ "α": "アルファ",
+ "β": "ベータ",
+ "γ": "ガンマ",
+ "δ": "デルタ",
+ "ε": "イプシロン",
+ "ζ": "ゼータ",
+ "η": "イータ",
+ "θ": "シータ",
+ "ι": "イオタ",
+ "κ": "カッパ",
+ "λ": "ラムダ",
+ "μ": "ミュー",
+ "ν": "ニュー",
+ "ξ": "クサイ",
+ "ο": "オミクロン",
+ "π": "パイ",
+ "ρ": "ロー",
+ "σ": "シグマ",
+ "τ": "タウ",
+ "υ": "ウプシロン",
+ "φ": "ファイ",
+ "χ": "カイ",
+ "ψ": "プサイ",
+ "ω": "オメガ",
+}
+
+_NUMBER_WITH_SEPARATOR_RX = re.compile("[0-9]{1,3}(,[0-9]{3})+")
+_CURRENCY_MAP = {"$": "ドル", "¥": "円", "£": "ポンド", "€": "ユーロ"}
+_CURRENCY_RX = re.compile(r"([$¥£€])([0-9.]*[0-9])")
+_NUMBER_RX = re.compile(r"[0-9]+(\.[0-9]+)?")
+
+
+def japanese_convert_numbers_to_words(text: str) -> str:
+ res = _NUMBER_WITH_SEPARATOR_RX.sub(lambda m: m[0].replace(",", ""), text)
+ res = _CURRENCY_RX.sub(lambda m: m[2] + _CURRENCY_MAP.get(m[1], m[1]), res)
+ res = _NUMBER_RX.sub(lambda m: num2words(m[0], lang="ja"), res)
+ return res
+
+
+def japanese_convert_alpha_symbols_to_words(text: str) -> str:
+ return "".join([_ALPHASYMBOL_YOMI.get(ch, ch) for ch in text.lower()])
+
+
+def japanese_text_to_phonemes(text: str) -> str:
+ """Convert Japanese text to phonemes."""
+ res = unicodedata.normalize("NFKC", text)
+ res = japanese_convert_numbers_to_words(res)
+ # res = japanese_convert_alpha_symbols_to_words(res)
+ res = text2kata(res)
+ res = kata2phoneme(res)
+ return res
+
+
+def is_japanese_character(char):
+ # 定义日语文字系统的 Unicode 范围
+ japanese_ranges = [
+ (0x3040, 0x309F), # 平假名
+ (0x30A0, 0x30FF), # 片假名
+ (0x4E00, 0x9FFF), # 汉字 (CJK Unified Ideographs)
+ (0x3400, 0x4DBF), # 汉字扩展 A
+ (0x20000, 0x2A6DF), # 汉字扩展 B
+ # 可以根据需要添加其他汉字扩展范围
+ ]
+
+ # 将字符的 Unicode 编码转换为整数
+ char_code = ord(char)
+
+ # 检查字符是否在任何一个日语范围内
+ for start, end in japanese_ranges:
+ if start <= char_code <= end:
+ return True
+
+ return False
+
+
+rep_map = {
+ "：": ",",
+ "；": ",",
+ "，": ",",
+ "。": ".",
+ "！": "!",
+ "？": "?",
+ "\n": ".",
+ "．": ".",
+ "…": "...",
+ "···": "...",
+ "・・・": "...",
+ "·": ",",
+ "・": ",",
+ "、": ",",
+ "$": ".",
+ "“": "'",
+ "”": "'",
+ '"': "'",
+ "‘": "'",
+ "’": "'",
+ "（": "'",
+ "）": "'",
+ "(": "'",
+ ")": "'",
+ "《": "'",
+ "》": "'",
+ "【": "'",
+ "】": "'",
+ "[": "'",
+ "]": "'",
+ "—": "-",
+ "−": "-",
+ "～": "-",
+ "~": "-",
+ "「": "'",
+ "」": "'",
+}
+
+
+def replace_punctuation(text):
+ pattern = re.compile("|".join(re.escape(p) for p in rep_map.keys()))
+
+ replaced_text = pattern.sub(lambda x: rep_map[x.group()], text)
+
+ replaced_text = re.sub(
+ r"[^\u3040-\u309F\u30A0-\u30FF\u4E00-\u9FFF\u3400-\u4DBF\u3005"
+ + "".join(punctuation)
+ + r"]+",
+ "",
+ replaced_text,
+ )
+
+ return replaced_text
+
+
+def text_normalize(text):
+ res = unicodedata.normalize("NFKC", text)
+ res = japanese_convert_numbers_to_words(res)
+ # res = "".join([i for i in res if is_japanese_character(i)])
+ res = replace_punctuation(res)
+ res = res.replace("゙", "")
+ return res
+
+
+def distribute_phone(n_phone, n_word):
+ phones_per_word = [0] * n_word
+ for task in range(n_phone):
+ min_tasks = min(phones_per_word)
+ min_index = phones_per_word.index(min_tasks)
+ phones_per_word[min_index] += 1
+ return phones_per_word
+
+
+def handle_long(sep_phonemes):
+ for i in range(len(sep_phonemes)):
+ if sep_phonemes[i][0] == "ー":
+ sep_phonemes[i][0] = sep_phonemes[i - 1][-1]
+ if "ー" in sep_phonemes[i]:
+ for j in range(len(sep_phonemes[i])):
+ if sep_phonemes[i][j] == "ー":
+ sep_phonemes[i][j] = sep_phonemes[i][j - 1][-1]
+ return sep_phonemes
+
+
+def align_tones(phones, tones):
+ res = []
+ for pho in phones:
+ temp = [0] * len(pho)
+ for idx, p in enumerate(pho):
+ if len(tones) == 0:
+ break
+ if p == tones[0][0]:
+ temp[idx] = tones[0][1]
+ if idx > 0:
+ temp[idx] += temp[idx - 1]
+ tones.pop(0)
+ temp = [0] + temp
+ temp = temp[:-1]
+ if -1 in temp:
+ temp = [i + 1 for i in temp]
+ res.append(temp)
+ res = [i for j in res for i in j]
+ assert not any([i < 0 for i in res]) and not any([i > 1 for i in res])
+ return res
+
+
+def rearrange_tones(tones, phones):
+ res = [0] * len(tones)
+ for i in range(len(tones)):
+ if i == 0:
+ if tones[i] not in punctuation:
+ res[i] = 1
+ elif tones[i] == prev:
+ if phones[i] in punctuation:
+ res[i] = 0
+ else:
+ res[i] = 1
+ elif tones[i] > prev:
+ res[i] = 2
+ elif tones[i] < prev:
+ res[i - 1] = 3
+ res[i] = 1
+ prev = tones[i]
+ return res
+
+
+def g2p(norm_text, tokenizer, **kwargs):
+ sep_text, sep_kata, acc = text2sep_kata(norm_text)
+ sep_tokenized = []
+ for i in sep_text:
+ if i not in punctuation:
+ sep_tokenized.append(tokenizer.tokenize(i))
+ else:
+ sep_tokenized.append([i])
+
+ sep_phonemes = handle_long([kata2phoneme(i) for i in sep_kata])
+ # 异常处理，MeCab不认识的词的话会一路传到这里来，然后炸掉。目前来看只有那些超级稀有的生僻词会出现这种情况
+ for i in sep_phonemes:
+ for j in i:
+ assert j in symbols, (sep_text, sep_kata, sep_phonemes)
+ tones = align_tones(sep_phonemes, acc)
+
+ word2ph = []
+ for token, phoneme in zip(sep_tokenized, sep_phonemes):
+ phone_len = len(phoneme)
+ word_len = len(token)
+
+ aaa = distribute_phone(phone_len, word_len)
+ word2ph += aaa
+ phones = ["_"] + [j for i in sep_phonemes for j in i] + ["_"]
+ # tones = [0] + rearrange_tones(tones, phones[1:-1]) + [0]
+ tones = [0] + tones + [0]
+ word2ph = [1] + word2ph + [1]
+ assert len(phones) == len(tones)
+ return phones, tones, word2ph
+
+
+if __name__ == "__main__":
+ from manager import model_handler
+
+ tokenizer, _ = model_handler.get_bert_model("DEBERTA_V2_LARGE_JAPANESE_CHAR_WWM")
+ text = "hello,こんにちは、世界ー！……"
+ from bert_vits2.text.japanese_bert import get_bert_feature
+
+ text = text_normalize(text)
+ print(text)
+
+ phones, tones, word2ph = g2p(text, tokenizer)
+ bert = get_bert_feature(text, word2ph)
+
+ print(phones, tones, word2ph, bert.shape)
diff --git a/bert_vits2/text/japanese_bert.py b/bert_vits2/text/japanese_bert.py
new file mode 100644
index 0000000000000000000000000000000000000000..03882c67717ec2a99803d578d73fce22b6c11517
--- /dev/null
+++ b/bert_vits2/text/japanese_bert.py
@@ -0,0 +1,43 @@
+import torch
+
+from contants import config
+from bert_vits2.text.japanese import text2sep_kata
+
+LOCAL_PATH = "./bert/deberta-v2-large-japanese-char-wwm"
+
+
+def get_bert_feature(text, word2ph, tokenizer, model, device=config.system.device, style_text=None, style_weight=0.7,
+ **kwargs):
+ text = "".join(text2sep_kata(text)[0])
+ if style_text:
+ style_text = "".join(text2sep_kata(style_text)[0])
+ with torch.no_grad():
+ inputs = tokenizer(text, return_tensors="pt")
+ for i in inputs:
+ inputs[i] = inputs[i].to(device)
+ res = model(**inputs, output_hidden_states=True)
+ res = torch.cat(res["hidden_states"][-3:-2], -1)[0].float().cpu()
+ if style_text:
+ style_inputs = tokenizer(style_text, return_tensors="pt")
+ for i in style_inputs:
+ style_inputs[i] = style_inputs[i].to(device)
+ style_res = model(**style_inputs, output_hidden_states=True)
+ style_res = torch.cat(style_res["hidden_states"][-3:-2], -1)[0].float().cpu()
+ style_res_mean = style_res.mean(0)
+
+ assert len(word2ph) == len(text) + 2
+ word2phone = word2ph
+ phone_level_feature = []
+ for i in range(len(word2phone)):
+ if style_text:
+ repeat_feature = (
+ res[i].repeat(word2phone[i], 1) * (1 - style_weight)
+ + style_res_mean.repeat(word2phone[i], 1) * style_weight
+ )
+ else:
+ repeat_feature = res[i].repeat(word2phone[i], 1)
+ phone_level_feature.append(repeat_feature)
+
+ phone_level_feature = torch.cat(phone_level_feature, dim=0)
+
+ return phone_level_feature.T
diff --git a/bert_vits2/text/japanese_bert_extra.py b/bert_vits2/text/japanese_bert_extra.py
new file mode 100644
index 0000000000000000000000000000000000000000..14553429a68510cbedb53c45dc6863ce110f450f
--- /dev/null
+++ b/bert_vits2/text/japanese_bert_extra.py
@@ -0,0 +1,42 @@
+import torch
+
+from contants import config
+from bert_vits2.text.japanese import text2sep_kata
+
+
+def get_bert_feature(text, word2ph, tokenizer, model, device=config.system.device, style_text=None, style_weight=0.7,
+ **kwargs):
+ text = "".join(text2sep_kata(text)[0])
+ if style_text:
+ style_text = "".join(text2sep_kata(style_text)[0])
+
+ with torch.no_grad():
+ inputs = tokenizer(text, return_tensors="pt")
+ for i in inputs:
+ inputs[i] = inputs[i].to(device)
+ res = model(**inputs, output_hidden_states=True)
+ res = torch.cat(res["hidden_states"][-3:-2], -1)[0].float().cpu()
+ if style_text:
+ style_inputs = tokenizer(style_text, return_tensors="pt")
+ for i in style_inputs:
+ style_inputs[i] = style_inputs[i].to(device)
+ style_res = model(**style_inputs, output_hidden_states=True)
+ style_res = torch.cat(style_res["hidden_states"][-3:-2], -1)[0].float().cpu()
+ style_res_mean = style_res.mean(0)
+
+ assert len(word2ph) == len(text) + 2
+ word2phone = word2ph
+ phone_level_feature = []
+ for i in range(len(word2phone)):
+ if style_text:
+ repeat_feature = (
+ res[i].repeat(word2phone[i], 1) * (1 - style_weight)
+ + style_res_mean.repeat(word2phone[i], 1) * style_weight
+ )
+ else:
+ repeat_feature = res[i].repeat(word2phone[i], 1)
+ phone_level_feature.append(repeat_feature)
+
+ phone_level_feature = torch.cat(phone_level_feature, dim=0)
+
+ return phone_level_feature.T
diff --git a/bert_vits2/text/japanese_bert_v111.py b/bert_vits2/text/japanese_bert_v111.py
new file mode 100644
index 0000000000000000000000000000000000000000..172f1a5db45572f2288c02a8c04325fca81feb2a
--- /dev/null
+++ b/bert_vits2/text/japanese_bert_v111.py
@@ -0,0 +1,22 @@
+import torch
+
+from contants import config
+
+
+def get_bert_feature(text, word2ph, tokenizer, model, device=config.system.device, **kwargs):
+ with torch.no_grad():
+ inputs = tokenizer(text, return_tensors="pt")
+ for i in inputs:
+ inputs[i] = inputs[i].to(device)
+ res = model(**inputs, output_hidden_states=True)
+ res = torch.cat(res["hidden_states"][-3:-2], -1)[0].float().cpu()
+ assert inputs["input_ids"].shape[-1] == len(word2ph)
+ word2phone = word2ph
+ phone_level_feature = []
+ for i in range(len(word2phone)):
+ repeat_feature = res[i].repeat(word2phone[i], 1)
+ phone_level_feature.append(repeat_feature)
+
+ phone_level_feature = torch.cat(phone_level_feature, dim=0)
+
+ return phone_level_feature.T
diff --git a/bert_vits2/text/japanese_bert_v200.py b/bert_vits2/text/japanese_bert_v200.py
new file mode 100644
index 0000000000000000000000000000000000000000..d719b6eed2a26637d1cd6cfdb47bc4b84a639cb9
--- /dev/null
+++ b/bert_vits2/text/japanese_bert_v200.py
@@ -0,0 +1,39 @@
+import torch
+
+from contants import config
+from bert_vits2.text.japanese_v200 import text2sep_kata
+
+
+def get_bert_feature(text, word2ph, tokenizer, model, device=config.system.device, **kwargs):
+ sep_text, _, _ = text2sep_kata(text)
+ sep_tokens = [tokenizer.tokenize(t) for t in sep_text]
+ sep_ids = [tokenizer.convert_tokens_to_ids(t) for t in sep_tokens]
+ sep_ids = [2] + [item for sublist in sep_ids for item in sublist] + [3]
+ return get_bert_feature_with_token(sep_ids, word2ph, tokenizer, model, device)
+
+
+def get_bert_feature_with_token(tokens, word2ph, tokenizer, model, device=config.system.device):
+ with torch.no_grad():
+ inputs = torch.tensor(tokens).to(device).unsqueeze(0)
+ token_type_ids = torch.zeros_like(inputs).to(device)
+ attention_mask = torch.ones_like(inputs).to(device)
+ inputs = {
+ "input_ids": inputs,
+ "token_type_ids": token_type_ids,
+ "attention_mask": attention_mask,
+ }
+
+ # for i in inputs:
+ # inputs[i] = inputs[i].to(device)
+ res = model(**inputs, output_hidden_states=True)
+ res = torch.cat(res["hidden_states"][-3:-2], -1)[0].float().cpu()
+ assert inputs["input_ids"].shape[-1] == len(word2ph)
+ word2phone = word2ph
+ phone_level_feature = []
+ for i in range(len(word2phone)):
+ repeat_feature = res[i].repeat(word2phone[i], 1)
+ phone_level_feature.append(repeat_feature)
+
+ phone_level_feature = torch.cat(phone_level_feature, dim=0)
+
+ return phone_level_feature.T
diff --git a/bert_vits2/text/japanese_extra.py b/bert_vits2/text/japanese_extra.py
new file mode 100644
index 0000000000000000000000000000000000000000..61b7184c187a6c57d51e2f40881121bf9e7fec28
--- /dev/null
+++ b/bert_vits2/text/japanese_extra.py
@@ -0,0 +1,524 @@
+# Convert Japanese text to phonemes which is
+# compatible with Julius https://github.com/julius-speech/segmentation-kit
+import re
+import unicodedata
+
+import pyopenjtalk
+from num2words import num2words
+
+from bert_vits2.text import punctuation
+from bert_vits2.text.japanese_mora_list import (
+ mora_kata_to_mora_phonemes,
+)
+
+# 子音の集合
+COSONANTS = set(
+ [
+ cosonant
+ for cosonant, _ in mora_kata_to_mora_phonemes.values()
+ if cosonant is not None
+ ]
+)
+
+# 母音の集合
+VOWELS = {"a", "i", "u", "e", "o"}
+
+# 正規化で記号を変換するための辞書
+rep_map = {
+ "：": ",",
+ "；": ",",
+ "，": ",",
+ "。": ".",
+ "！": "!",
+ "？": "?",
+ "\n": ".",
+ "．": ".",
+ "…": "...",
+ "···": "...",
+ "・・・": "...",
+ "·": ",",
+ "・": ",",
+ "、": ",",
+ "$": ".",
+ "“": "'",
+ "”": "'",
+ '"': "'",
+ "‘": "'",
+ "’": "'",
+ "（": "'",
+ "）": "'",
+ "(": "'",
+ ")": "'",
+ "《": "'",
+ "》": "'",
+ "【": "'",
+ "】": "'",
+ "[": "'",
+ "]": "'",
+ "—": "-",
+ "−": "-",
+ # "～": "-", # これは長音記号「ー」として扱うよう変更
+ # "~": "-", # これは長音記号「ー」として扱うよう変更
+ "「": "'",
+ "」": "'",
+}
+
+
+def text_normalize(text):
+ """
+ 日本語のテキストを正規化する。
+ 結果は、ちょうど次の文字のみからなる：
+ - ひらがな
+ - カタカナ（全角長音記号「ー」が入る！）
+ - 漢字
+ - 半角アルファベット（大文字と小文字）
+ - ギリシャ文字
+ - `.` （句点`。`や`…`の一部や改行等）
+ - `,` （読点`、`や`:`等）
+ - `?` （疑問符`？`）
+ - `!` （感嘆符`！`）
+ - `'` （`「`や`」`等）
+ - `-` （`―`（ダッシュ、長音記号ではない）や`-`等）
+
+ 注意点:
+ - 三点リーダー`…`は`...`に変換される（`なるほど…。` → `なるほど....`）
+ - 数字は漢字に変換される（`1,100円` → `千百円`、`52.34` → `五十二点三四`）
+ - 読点や疑問符等の位置・個数等は保持される（`??あ、、！！！` → `??あ,,!!!`）
+ """
+ # print(f"Before normalization: {text}")
+ # ここでアルファベットは半角になり、三点リーダは`...`になる
+ res = unicodedata.normalize("NFKC", text)
+
+ res = japanese_convert_numbers_to_words(res) # 「100円」→「百円」等
+
+ # 「～」と「~」も長音記号として扱う
+ res = res.replace("~", "ー")
+ res = res.replace("～", "ー")
+
+ res = replace_punctuation(res) # 句読点等正規化、読めない文字を削除
+
+ # 結合文字の濁点・半濁点を削除
+ # 通常の「ば」等はそのままのこされる、「あ゛」は上で「あ゙」になりここで「あ」になる
+ res = res.replace("\u3099", "") # 結合文字の濁点を削除、る゙ → る
+ res = res.replace("\u309A", "") # 結合文字の半濁点を削除、な゚ → な
+ return res
+
+
+def replace_punctuation(text: str) -> str:
+ """句読点等を「.」「,」「!」「?」「'」「-」に正規化し、OpenJTalkで読みが取得できるもののみ残す：
+ 漢字・平仮名・カタカナ、アルファベット、ギリシャ文字
+ """
+ pattern = re.compile("|".join(re.escape(p) for p in rep_map.keys()))
+
+ # 句読点を辞書で置換
+ replaced_text = pattern.sub(lambda x: rep_map[x.group()], text)
+
+ replaced_text = re.sub(
+ # ↓ ひらがな、カタカナ、漢字
+ r"[^\u3040-\u309F\u30A0-\u30FF\u4E00-\u9FFF\u3400-\u4DBF\u3005"
+ # ↓ 半角アルファベット（大文字と小文字）
+ + r"\u0041-\u005A\u0061-\u007A"
+ # ↓ 全角アルファベット（大文字と小文字）
+ + r"\uFF21-\uFF3A\uFF41-\uFF5A"
+ # ↓ ギリシャ文字
+ + r"\u0370-\u03FF\u1F00-\u1FFF"
+ # ↓ "!", "?", "…", ",", ".", "'", "-", 但し`…`はすでに`...`に変換されている
+ + "".join(punctuation) + r"]+",
+ # 上述以外の文字を削除
+ "",
+ replaced_text,
+ )
+
+ return replaced_text
+
+
+_NUMBER_WITH_SEPARATOR_RX = re.compile("[0-9]{1,3}(,[0-9]{3})+")
+_CURRENCY_MAP = {"$": "ドル", "¥": "円", "£": "ポンド", "€": "ユーロ"}
+_CURRENCY_RX = re.compile(r"([$¥£€])([0-9.]*[0-9])")
+_NUMBER_RX = re.compile(r"[0-9]+(\.[0-9]+)?")
+
+
+def japanese_convert_numbers_to_words(text: str) -> str:
+ res = _NUMBER_WITH_SEPARATOR_RX.sub(lambda m: m[0].replace(",", ""), text)
+ res = _CURRENCY_RX.sub(lambda m: m[2] + _CURRENCY_MAP.get(m[1], m[1]), res)
+ res = _NUMBER_RX.sub(lambda m: num2words(m[0], lang="ja"), res)
+ return res
+
+
+def g2p(norm_text: str, tokenizer, **kwargs) -> tuple[list[str], list[int], list[int]]:
+ """
+ 他で使われるメインの関数。`text_normalize()`で正規化された`norm_text`を受け取り、
+ - phones: 音素のリスト（ただし`!`や`,`や`.`等punctuationが含まれうる）
+ - tones: アクセントのリスト、0（低）と1（高）からなり、phonesと同じ長さ
+ - word2ph: 元のテキストの各文字に音素が何個割り当てられるかを表すリスト
+ のタプルを返す。
+ ただし`phones`と`tones`の最初と終わりに`_`が入り、応じて`word2ph`の最初と最後に1が追加される。
+ """
+ # pyopenjtalkのフルコンテキストラベルを使ってアクセントを取り出すと、punctuationの位置が消えてしまい情報が失われてしまう：
+ # 「こんにちは、世界。」と「こんにちは！世界。」と「こんにちは！！！？？？世界……。」は全て同じになる。
+ # よって、まずpunctuation無しの音素とアクセントのリストを作り、
+ # それとは別にpyopenjtalk.run_frontend()で得られる音素リスト（こちらはpunctuationが保持される）を使い、
+ # アクセント割当をしなおすことによってpunctuationを含めた音素とアクセントのリストを作る。
+
+ # punctuationがすべて消えた、音素とアクセントのタプルのリスト
+ phone_tone_list_wo_punct = g2phone_tone_wo_punct(norm_text)
+
+ # sep_text: 単語単位の単語のリスト
+ # sep_kata: 単語単位の単語のカタカナ読みのリスト
+ sep_text, sep_kata = text2sep_kata(norm_text)
+
+ # sep_phonemes: 各単語ごとの音素のリストのリスト
+ sep_phonemes = handle_long([kata2phoneme_list(i) for i in sep_kata])
+
+ # phone_w_punct: sep_phonemesを結合した、punctuationを元のまま保持した音素列
+ phone_w_punct: list[str] = []
+ for i in sep_phonemes:
+ phone_w_punct += i
+
+ # punctuation無しのアクセント情報を使って、punctuationを含めたアクセント情報を作る
+ phone_tone_list = align_tones(phone_w_punct, phone_tone_list_wo_punct)
+ # word2phは厳密な解答は不可能なので（「今日」「眼鏡」等の熟字訓が存在）、
+ # Bert-VITS2では、単語単位の分割を使って、単語の文字ごとにだいたい均等に音素を分配する
+
+ # sep_textから、各単語を1文字1文字分割して、文字のリスト（のリスト）を作る
+ sep_tokenized: list[list[str]] = []
+ for i in sep_text:
+ if i not in punctuation:
+ sep_tokenized.append(tokenizer.tokenize(i)) # ここでおそらく`i`が文字単位に分割される
+ else:
+ sep_tokenized.append([i])
+
+ # 各単語について、音素の数と文字の数を比較して、均等っぽく分配する
+ word2ph = []
+ for token, phoneme in zip(sep_tokenized, sep_phonemes):
+ phone_len = len(phoneme)
+ word_len = len(token)
+ word2ph += distribute_phone(phone_len, word_len)
+
+ # 最初と最後に`_`記号を追加、アクセントは0（低）、word2phもそれに合わせて追加
+ phone_tone_list = [("_", 0)] + phone_tone_list + [("_", 0)]
+ word2ph = [1] + word2ph + [1]
+
+ phones = [phone for phone, _ in phone_tone_list]
+ tones = [tone for _, tone in phone_tone_list]
+
+ assert len(phones) == sum(word2ph), f"{len(phones)} != {sum(word2ph)}"
+
+ return phones, tones, word2ph
+
+
+def g2phone_tone_wo_punct(text: str) -> list[tuple[str, int]]:
+ """
+ テキストに対して、音素とアクセント（0か1）のペアのリストを返す。
+ ただし「!」「.」「?」等の非音素記号(punctuation)は全て消える（ポーズ記号も残さない）。
+ 非音素記号を含める処理は`align_tones()`で行われる。
+ また「っ」は「cl」でなく「q」に変換される（「ん」は「N」のまま）。
+ 例: "こんにちは、世界ー。。元気？！" →
+ [('k', 0), ('o', 0), ('N', 1), ('n', 1), ('i', 1), ('ch', 1), ('i', 1), ('w', 1), ('a', 1), ('s', 1), ('e', 1), ('k', 0), ('a', 0), ('i', 0), ('i', 0), ('g', 1), ('e', 1), ('N', 0), ('k', 0), ('i', 0)]
+ """
+ prosodies = pyopenjtalk_g2p_prosody(text, drop_unvoiced_vowels=True)
+ result: list[tuple[str, int]] = []
+ current_phrase: list[tuple[str, int]] = []
+ current_tone = 0
+ for i, letter in enumerate(prosodies):
+ # 特殊記号の処理
+
+ # 文頭記号、無視する
+ if letter == "^":
+ assert i == 0, "Unexpected ^"
+ # アクセント句の終わりに来る記号
+ elif letter in ("$", "?", "_", "#"):
+ # 保持しているフレーズを、アクセント数値を0-1に修正し結果に追加
+ result.extend(fix_phone_tone(current_phrase))
+ # 末尾に来る終了記号、無視（文中の疑問文は`_`になる）
+ if letter in ("$", "?"):
+ assert i == len(prosodies) - 1, f"Unexpected {letter}"
+ # あとは"_"（ポーズ）と"#"（アクセント句の境界）のみ
+ # これらは残さず、次のアクセント句に備える。
+ current_phrase = []
+ # 0を基準点にしてそこから上昇・下降する（負の場合は上の`fix_phone_tone`で直る）
+ current_tone = 0
+ # アクセント上昇記号
+ elif letter == "[":
+ current_tone = current_tone + 1
+ # アクセント下降記号
+ elif letter == "]":
+ current_tone = current_tone - 1
+ # それ以外は通常の音素
+ else:
+ if letter == "cl": # 「っ」の処理
+ letter = "q"
+ current_phrase.append((letter, current_tone))
+ return result
+
+
+def text2sep_kata(norm_text: str) -> tuple[list[str], list[str]]:
+ """
+ `text_normalize`で正規化済みの`norm_text`を受け取り、それを単語分割し、
+ 分割された単語リストとその読み（カタカナor記号1文字）のリストのタプルを返す。
+ 単語分割結果は、`g2p()`の`word2ph`で1文字あたりに割り振る音素記号の数を決めるために使う。
+ 例:
+ `私はそう思う!って感じ?` →
+ ["私", "は", "そう", "思う", "!", "って", "感じ", "?"], ["ワタシ", "ワ", "ソー", "オモウ", "!", "ッテ", "カンジ", "?"]
+ """
+ # parsed: OpenJTalkの解析結果
+ parsed = pyopenjtalk.run_frontend(norm_text)
+ sep_text: list[str] = []
+ sep_kata: list[str] = []
+ for parts in parsed:
+ # word: 実際の単語の文字列
+ # yomi: その読み、但し無声化サインの`’`は除去
+ word, yomi = replace_punctuation(parts["string"]), parts["pron"].replace(
+ "’", ""
+ )
+ """
+ ここで`yomi`の取りうる値は以下の通りのはず。
+ - `word`が通常単語 → 通常の読み（カタカナ）
+ （カタカナからなり、長音記号も含みうる、`アー` 等）
+ - `word`が`ー` から始まる → `ーラー` や `ーーー` など
+ - `word`が句読点や空白等 → `、`
+ - `word`が`?` → `？`（全角になる）
+ 他にも`word`が読めないキリル文字アラビア文字等が来ると`、`になるが、正規化でこの場合は起きないはず。
+ また元のコードでは`yomi`が空白の場合の処理があったが、これは起きないはず。
+ 処理すべきは`yomi`が`、`の場合のみのはず。
+ """
+ assert yomi != "", f"Empty yomi: {word}"
+ if yomi == "、":
+ # wordは正規化されているので、`.`, `,`, `!`, `'`, `-`のいずれか
+ if word not in (
+ ".",
+ ",",
+ "!",
+ "'",
+ "-",
+ ):
+ # ここはpyopenjtalkが読めない文字等のときに起こる
+ raise ValueError(f"Cannot read: {word} in:\n{norm_text}")
+ # yomiは元の記号のままに変更
+ yomi = word
+ elif yomi == "？":
+ assert word == "?", f"yomi `？` comes from: {word}"
+ yomi = "?"
+ sep_text.append(word)
+ sep_kata.append(yomi)
+ return sep_text, sep_kata
+
+
+# ESPnetの実装から引用、変更点無し
+# https://github.com/espnet/espnet/blob/master/espnet2/text/phoneme_tokenizer.py
+def pyopenjtalk_g2p_prosody(text: str, drop_unvoiced_vowels: bool = True) -> list[str]:
+ """Extract phoneme + prosoody symbol sequence from input full-context labels.
+
+ The algorithm is based on `Prosodic features control by symbols as input of
+ sequence-to-sequence acoustic modeling for neural TTS`_ with some r9y9's tweaks.
+
+ Args:
+ text (str): Input text.
+ drop_unvoiced_vowels (bool): whether to drop unvoiced vowels.
+
+ Returns:
+ List[str]: List of phoneme + prosody symbols.
+
+ Examples:
+ #>>> from espnet2.text.phoneme_tokenizer import pyopenjtalk_g2p_prosody
+ #>>> pyopenjtalk_g2p_prosody("こんにちは。")
+ ['^', 'k', 'o', '[', 'N', 'n', 'i', 'ch', 'i', 'w', 'a', '$']
+
+ .. _`Prosodic features control by symbols as input of sequence-to-sequence acoustic
+ modeling for neural TTS`: https://doi.org/10.1587/transinf.2020EDP7104
+
+ """
+ labels = pyopenjtalk.make_label(pyopenjtalk.run_frontend(text))
+ N = len(labels)
+
+ phones = []
+ for n in range(N):
+ lab_curr = labels[n]
+
+ # current phoneme
+ p3 = re.search(r"\-(.*?)\+", lab_curr).group(1)
+ # deal unvoiced vowels as normal vowels
+ if drop_unvoiced_vowels and p3 in "AEIOU":
+ p3 = p3.lower()
+
+ # deal with sil at the beginning and the end of text
+ if p3 == "sil":
+ assert n == 0 or n == N - 1
+ if n == 0:
+ phones.append("^")
+ elif n == N - 1:
+ # check question form or not
+ e3 = _numeric_feature_by_regex(r"!(\d+)_", lab_curr)
+ if e3 == 0:
+ phones.append("$")
+ elif e3 == 1:
+ phones.append("?")
+ continue
+ elif p3 == "pau":
+ phones.append("_")
+ continue
+ else:
+ phones.append(p3)
+
+ # accent type and position info (forward or backward)
+ a1 = _numeric_feature_by_regex(r"/A:([0-9\-]+)\+", lab_curr)
+ a2 = _numeric_feature_by_regex(r"\+(\d+)\+", lab_curr)
+ a3 = _numeric_feature_by_regex(r"\+(\d+)/", lab_curr)
+
+ # number of mora in accent phrase
+ f1 = _numeric_feature_by_regex(r"/F:(\d+)_", lab_curr)
+
+ a2_next = _numeric_feature_by_regex(r"\+(\d+)\+", labels[n + 1])
+ # accent phrase border
+ if a3 == 1 and a2_next == 1 and p3 in "aeiouAEIOUNcl":
+ phones.append("#")
+ # pitch falling
+ elif a1 == 0 and a2_next == a2 + 1 and a2 != f1:
+ phones.append("]")
+ # pitch rising
+ elif a2 == 1 and a2_next == 2:
+ phones.append("[")
+
+ return phones
+
+
+def _numeric_feature_by_regex(regex, s):
+ match = re.search(regex, s)
+ if match is None:
+ return -50
+ return int(match.group(1))
+
+
+def fix_phone_tone(phone_tone_list: list[tuple[str, int]]) -> list[tuple[str, int]]:
+ """
+ `phone_tone_list`のtone（アクセントの値）を0か1の範囲に修正する。
+ 例: [(a, 0), (i, -1), (u, -1)] → [(a, 1), (i, 0), (u, 0)]
+ """
+ tone_values = set(tone for _, tone in phone_tone_list)
+ if len(tone_values) == 1:
+ assert tone_values == {0}, tone_values
+ return phone_tone_list
+ elif len(tone_values) == 2:
+ if tone_values == {0, 1}:
+ return phone_tone_list
+ elif tone_values == {-1, 0}:
+ return [
+ (letter, 0 if tone == -1 else 1) for letter, tone in phone_tone_list
+ ]
+ else:
+ raise ValueError(f"Unexpected tone values: {tone_values}")
+ else:
+ raise ValueError(f"Unexpected tone values: {tone_values}")
+
+
+def distribute_phone(n_phone: int, n_word: int) -> list[int]:
+ """
+ 左から右に1ずつ振り分け、次にまた左から右に1ずつ増やし、というふうに、
+ 音素の数`n_phone`を単語の数`n_word`に分配する。
+ """
+ phones_per_word = [0] * n_word
+ for _ in range(n_phone):
+ min_tasks = min(phones_per_word)
+ min_index = phones_per_word.index(min_tasks)
+ phones_per_word[min_index] += 1
+ return phones_per_word
+
+
+def handle_long(sep_phonemes: list[list[str]]) -> list[list[str]]:
+ for i in range(len(sep_phonemes)):
+ if sep_phonemes[i][0] == "ー":
+ sep_phonemes[i][0] = sep_phonemes[i - 1][-1]
+ if "ー" in sep_phonemes[i]:
+ for j in range(len(sep_phonemes[i])):
+ if sep_phonemes[i][j] == "ー":
+ sep_phonemes[i][j] = sep_phonemes[i][j - 1][-1]
+ return sep_phonemes
+
+
+def align_tones(
+ phones_with_punct: list[str], phone_tone_list: list[tuple[str, int]]
+) -> list[tuple[str, int]]:
+ """
+ 例:
+ …私は、、そう思う。
+ phones_with_punct:
+ [".", ".", ".", "w", "a", "t", "a", "sh", "i", "w", "a", ",", ",", "s", "o", "o", "o", "m", "o", "u", "."]
+ phone_tone_list:
+ [("w", 0), ("a", 0), ("t", 1), ("a", 1), ("sh", 1), ("i", 1), ("w", 1), ("a", 1), ("s", 0), ("o", 0), ("o", 1), ("o", 1), ("m", 1), ("o", 1), ("u", 0))]
+ Return:
+ [(".", 0), (".", 0), (".", 0), ("w", 0), ("a", 0), ("t", 1), ("a", 1), ("sh", 1), ("i", 1), ("w", 1), ("a", 1), (",", 0), (",", 0), ("s", 0), ("o", 0), ("o", 1), ("o", 1), ("m", 1), ("o", 1), ("u", 0), (".", 0)]
+ """
+ result: list[tuple[str, int]] = []
+ tone_index = 0
+ for phone in phones_with_punct:
+ if tone_index >= len(phone_tone_list):
+ # 余ったpunctuationがある場合 → (punctuation, 0)を追加
+ result.append((phone, 0))
+ elif phone == phone_tone_list[tone_index][0]:
+ # phone_tone_listの現在の音素と一致する場合 → toneをそこから取得、(phone, tone)を追加
+ result.append((phone, phone_tone_list[tone_index][1]))
+ # 探すindexを1つ進める
+ tone_index += 1
+ elif phone in punctuation:
+ # phoneがpunctuationの場合 → (phone, 0)を追加
+ result.append((phone, 0))
+ else:
+ print(f"phones: {phones_with_punct}")
+ print(f"phone_tone_list: {phone_tone_list}")
+ print(f"result: {result}")
+ print(f"tone_index: {tone_index}")
+ print(f"phone: {phone}")
+ raise ValueError(f"Unexpected phone: {phone}")
+ return result
+
+
+def kata2phoneme_list(text: str) -> list[str]:
+ """
+ 原則カタカナの`text`を受け取り、それをそのままいじらずに音素記号のリストに変換。
+ 注意点：
+ - punctuationが来た場合（punctuationが1文字の場合がありうる）、処理せず1文字のリストを返す
+ - 冒頭に続く「ー」はそのまま「ー」のままにする（`handle_long()`で処理される）
+ - 文中の「ー」は前の音素記号の最後の音素記号に変換される。
+ 例：
+ `ーーソーナノカーー` → ["ー", "ー", "s", "o", "o", "n", "a", "n", "o", "k", "a", "a", "a"]
+ `?` → ["?"]
+ """
+ if text in punctuation:
+ return [text]
+ # `text`がカタカナ（`ー`含む）のみからなるかどうかをチェック
+ if re.fullmatch(r"[\u30A0-\u30FF]+", text) is None:
+ raise ValueError(f"Input must be katakana only: {text}")
+ sorted_keys = sorted(mora_kata_to_mora_phonemes.keys(), key=len, reverse=True)
+ pattern = "|".join(map(re.escape, sorted_keys))
+
+ def mora2phonemes(mora: str) -> str:
+ cosonant, vowel = mora_kata_to_mora_phonemes[mora]
+ if cosonant is None:
+ return f" {vowel}"
+ return f" {cosonant} {vowel}"
+
+ spaced_phonemes = re.sub(pattern, lambda m: mora2phonemes(m.group()), text)
+
+ # 長音記号「ー」の処理
+ long_pattern = r"(\w)(ー*)"
+ long_replacement = lambda m: m.group(1) + (" " + m.group(1)) * len(m.group(2))
+ spaced_phonemes = re.sub(long_pattern, long_replacement, spaced_phonemes)
+ return spaced_phonemes.strip().split(" ")
+
+
+if __name__ == "__main__":
+ from manager import model_handler
+
+ tokenizer, _ = model_handler.get_bert_model("DEBERTA_V2_LARGE_JAPANESE_CHAR_WWM")
+ text = "hello,こんにちは、世界ー~！……"
+
+ from bert_vits2.text.japanese_bert import get_bert_feature
+
+ text = text_normalize(text)
+ print(text)
+
+ phones, tones, word2ph = g2p(text)
+ print(phones, tones, word2ph)
+ bert = get_bert_feature(text, word2ph)
+
+ print(phones, tones, word2ph, bert.shape)
diff --git a/bert_vits2/text/japanese_mora_list.py b/bert_vits2/text/japanese_mora_list.py
new file mode 100644
index 0000000000000000000000000000000000000000..d3a1dc44c65e04558caf183c9e72a372f8cfd87e
--- /dev/null
+++ b/bert_vits2/text/japanese_mora_list.py
@@ -0,0 +1,230 @@
+"""
+VOICEVOXのソースコードからお借りして最低限に改造したコード。
+https://github.com/VOICEVOX/voicevox_engine/blob/master/voicevox_engine/tts_pipeline/mora_list.py
+"""
+"""
+以下のモーラ対応表はOpenJTalkのソースコードから取得し、
+カタカナ表記とモーラが一対一対応するように改造した。
+ライセンス表記：
+-----------------------------------------------------------------
+ The Japanese TTS System "Open JTalk"
+ developed by HTS Working Group
+ http://open-jtalk.sourceforge.net/
+-----------------------------------------------------------------
+
+ Copyright (c) 2008-2014 Nagoya Institute of Technology
+ Department of Computer Science
+
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or
+without modification, are permitted provided that the following
+conditions are met:
+
+- Redistributions of source code must retain the above copyright
+ notice, this list of conditions and the following disclaimer.
+- Redistributions in binary form must reproduce the above
+ copyright notice, this list of conditions and the following
+ disclaimer in the documentation and/or other materials provided
+ with the distribution.
+- Neither the name of the HTS working group nor the names of its
+ contributors may be used to endorse or promote products derived
+ from this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
+CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
+INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
+MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS
+BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
+TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
+OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+POSSIBILITY OF SUCH DAMAGE.
+"""
+from typing import Optional
+
+# (カタカナ, 子音, 母音)の順。子音がない場合はNoneを入れる。
+# 但し「ン」と「ッ」は母音のみという扱いで、それぞれ「N」「q (clから変更)」
+# また「デェ = dy e」はpyopenjtalkの出力（de e）と合わないため削除
+_mora_list_minimum: list[tuple[str, Optional[str], str]] = [
+ ("ヴォ", "v", "o"),
+ ("ヴェ", "v", "e"),
+ ("ヴィ", "v", "i"),
+ ("ヴァ", "v", "a"),
+ ("ヴ", "v", "u"),
+ ("ン", None, "N"),
+ ("ワ", "w", "a"),
+ ("ロ", "r", "o"),
+ ("レ", "r", "e"),
+ ("ル", "r", "u"),
+ ("リョ", "ry", "o"),
+ ("リュ", "ry", "u"),
+ ("リャ", "ry", "a"),
+ ("リェ", "ry", "e"),
+ ("リ", "r", "i"),
+ ("ラ", "r", "a"),
+ ("ヨ", "y", "o"),
+ ("ユ", "y", "u"),
+ ("ヤ", "y", "a"),
+ ("モ", "m", "o"),
+ ("メ", "m", "e"),
+ ("ム", "m", "u"),
+ ("ミョ", "my", "o"),
+ ("ミュ", "my", "u"),
+ ("ミャ", "my", "a"),
+ ("ミェ", "my", "e"),
+ ("ミ", "m", "i"),
+ ("マ", "m", "a"),
+ ("ポ", "p", "o"),
+ ("ボ", "b", "o"),
+ ("ホ", "h", "o"),
+ ("ペ", "p", "e"),
+ ("ベ", "b", "e"),
+ ("ヘ", "h", "e"),
+ ("プ", "p", "u"),
+ ("ブ", "b", "u"),
+ ("フォ", "f", "o"),
+ ("フェ", "f", "e"),
+ ("フィ", "f", "i"),
+ ("ファ", "f", "a"),
+ ("フ", "f", "u"),
+ ("ピョ", "py", "o"),
+ ("ピュ", "py", "u"),
+ ("ピャ", "py", "a"),
+ ("ピェ", "py", "e"),
+ ("ピ", "p", "i"),
+ ("ビョ", "by", "o"),
+ ("ビュ", "by", "u"),
+ ("ビャ", "by", "a"),
+ ("ビェ", "by", "e"),
+ ("ビ", "b", "i"),
+ ("ヒョ", "hy", "o"),
+ ("ヒュ", "hy", "u"),
+ ("ヒャ", "hy", "a"),
+ ("ヒェ", "hy", "e"),
+ ("ヒ", "h", "i"),
+ ("パ", "p", "a"),
+ ("バ", "b", "a"),
+ ("ハ", "h", "a"),
+ ("ノ", "n", "o"),
+ ("ネ", "n", "e"),
+ ("ヌ", "n", "u"),
+ ("ニョ", "ny", "o"),
+ ("ニュ", "ny", "u"),
+ ("ニャ", "ny", "a"),
+ ("ニェ", "ny", "e"),
+ ("ニ", "n", "i"),
+ ("ナ", "n", "a"),
+ ("ドゥ", "d", "u"),
+ ("ド", "d", "o"),
+ ("トゥ", "t", "u"),
+ ("ト", "t", "o"),
+ ("デョ", "dy", "o"),
+ ("デュ", "dy", "u"),
+ ("デャ", "dy", "a"),
+ # ("デェ", "dy", "e"),
+ ("ディ", "d", "i"),
+ ("デ", "d", "e"),
+ ("テョ", "ty", "o"),
+ ("テュ", "ty", "u"),
+ ("テャ", "ty", "a"),
+ ("ティ", "t", "i"),
+ ("テ", "t", "e"),
+ ("ツォ", "ts", "o"),
+ ("ツェ", "ts", "e"),
+ ("ツィ", "ts", "i"),
+ ("ツァ", "ts", "a"),
+ ("ツ", "ts", "u"),
+ ("ッ", None, "q"), # 「cl」から「q」に変更
+ ("チョ", "ch", "o"),
+ ("チュ", "ch", "u"),
+ ("チャ", "ch", "a"),
+ ("チェ", "ch", "e"),
+ ("チ", "ch", "i"),
+ ("ダ", "d", "a"),
+ ("タ", "t", "a"),
+ ("ゾ", "z", "o"),
+ ("ソ", "s", "o"),
+ ("ゼ", "z", "e"),
+ ("セ", "s", "e"),
+ ("ズィ", "z", "i"),
+ ("ズ", "z", "u"),
+ ("スィ", "s", "i"),
+ ("ス", "s", "u"),
+ ("ジョ", "j", "o"),
+ ("ジュ", "j", "u"),
+ ("ジャ", "j", "a"),
+ ("ジェ", "j", "e"),
+ ("ジ", "j", "i"),
+ ("ショ", "sh", "o"),
+ ("シュ", "sh", "u"),
+ ("シャ", "sh", "a"),
+ ("シェ", "sh", "e"),
+ ("シ", "sh", "i"),
+ ("ザ", "z", "a"),
+ ("サ", "s", "a"),
+ ("ゴ", "g", "o"),
+ ("コ", "k", "o"),
+ ("ゲ", "g", "e"),
+ ("ケ", "k", "e"),
+ ("グヮ", "gw", "a"),
+ ("グ", "g", "u"),
+ ("クヮ", "kw", "a"),
+ ("ク", "k", "u"),
+ ("ギョ", "gy", "o"),
+ ("ギュ", "gy", "u"),
+ ("ギャ", "gy", "a"),
+ ("ギェ", "gy", "e"),
+ ("ギ", "g", "i"),
+ ("キョ", "ky", "o"),
+ ("キュ", "ky", "u"),
+ ("キャ", "ky", "a"),
+ ("キェ", "ky", "e"),
+ ("キ", "k", "i"),
+ ("ガ", "g", "a"),
+ ("カ", "k", "a"),
+ ("オ", None, "o"),
+ ("エ", None, "e"),
+ ("ウォ", "w", "o"),
+ ("ウェ", "w", "e"),
+ ("ウィ", "w", "i"),
+ ("ウ", None, "u"),
+ ("イェ", "y", "e"),
+ ("イ", None, "i"),
+ ("ア", None, "a"),
+]
+_mora_list_additional: list[tuple[str, Optional[str], str]] = [
+ ("ヴョ", "by", "o"),
+ ("ヴュ", "by", "u"),
+ ("ヴャ", "by", "a"),
+ ("ヲ", None, "o"),
+ ("ヱ", None, "e"),
+ ("ヰ", None, "i"),
+ ("ヮ", "w", "a"),
+ ("ョ", "y", "o"),
+ ("ュ", "y", "u"),
+ ("ヅ", "z", "u"),
+ ("ヂ", "j", "i"),
+ ("ヶ", "k", "e"),
+ ("ャ", "y", "a"),
+ ("ォ", None, "o"),
+ ("ェ", None, "e"),
+ ("ゥ", None, "u"),
+ ("ィ", None, "i"),
+ ("ァ", None, "a"),
+]
+
+# 例: "vo" -> "ヴォ", "a" -> "ア"
+mora_phonemes_to_mora_kata: dict[str, str] = {
+ (consonant or "") + vowel: kana for [kana, consonant, vowel] in _mora_list_minimum
+}
+
+# 例: "ヴォ" -> ("v", "o"), "ア" -> (None, "a")
+mora_kata_to_mora_phonemes: dict[str, tuple[Optional[str], str]] = {
+ kana: (consonant, vowel)
+ for [kana, consonant, vowel] in _mora_list_minimum + _mora_list_additional
+}
diff --git a/bert_vits2/text/japanese_v111.py b/bert_vits2/text/japanese_v111.py
new file mode 100644
index 0000000000000000000000000000000000000000..e9ea6dd8cddfb52dcdc3a4a1d2c5399966039197
--- /dev/null
+++ b/bert_vits2/text/japanese_v111.py
@@ -0,0 +1,585 @@
+# Convert Japanese text to phonemes which is
+# compatible with Julius https://github.com/julius-speech/segmentation-kit
+import re
+import unicodedata
+
+from bert_vits2.text.symbols import *
+
+# from bert_vits2.text.japanese_bert import tokenizer
+
+try:
+ import MeCab
+except ImportError as e:
+ raise ImportError("Japanese requires mecab-python3 and unidic-lite.") from e
+from num2words import num2words
+
+_CONVRULES = [
+ # Conversion of 2 letters
+ "アァ/ a a",
+ "イィ/ i i",
+ "イェ/ i e",
+ "イャ/ y a",
+ "ウゥ/ u:",
+ "エェ/ e e",
+ "オォ/ o:",
+ "カァ/ k a:",
+ "キィ/ k i:",
+ "クゥ/ k u:",
+ "クャ/ ky a",
+ "クュ/ ky u",
+ "クョ/ ky o",
+ "ケェ/ k e:",
+ "コォ/ k o:",
+ "ガァ/ g a:",
+ "ギィ/ g i:",
+ "グゥ/ g u:",
+ "グャ/ gy a",
+ "グュ/ gy u",
+ "グョ/ gy o",
+ "ゲェ/ g e:",
+ "ゴォ/ g o:",
+ "サァ/ s a:",
+ "シィ/ sh i:",
+ "スゥ/ s u:",
+ "スャ/ sh a",
+ "スュ/ sh u",
+ "スョ/ sh o",
+ "セェ/ s e:",
+ "ソォ/ s o:",
+ "ザァ/ z a:",
+ "ジィ/ j i:",
+ "ズゥ/ z u:",
+ "ズャ/ zy a",
+ "ズュ/ zy u",
+ "ズョ/ zy o",
+ "ゼェ/ z e:",
+ "ゾォ/ z o:",
+ "タァ/ t a:",
+ "チィ/ ch i:",
+ "ツァ/ ts a",
+ "ツィ/ ts i",
+ "ツゥ/ ts u:",
+ "ツャ/ ch a",
+ "ツュ/ ch u",
+ "ツョ/ ch o",
+ "ツェ/ ts e",
+ "ツォ/ ts o",
+ "テェ/ t e:",
+ "トォ/ t o:",
+ "ダァ/ d a:",
+ "ヂィ/ j i:",
+ "ヅゥ/ d u:",
+ "ヅャ/ zy a",
+ "ヅュ/ zy u",
+ "ヅョ/ zy o",
+ "デェ/ d e:",
+ "ドォ/ d o:",
+ "ナァ/ n a:",
+ "ニィ/ n i:",
+ "ヌゥ/ n u:",
+ "ヌャ/ ny a",
+ "ヌュ/ ny u",
+ "ヌョ/ ny o",
+ "ネェ/ n e:",
+ "ノォ/ n o:",
+ "ハァ/ h a:",
+ "ヒィ/ h i:",
+ "フゥ/ f u:",
+ "フャ/ hy a",
+ "フュ/ hy u",
+ "フョ/ hy o",
+ "ヘェ/ h e:",
+ "ホォ/ h o:",
+ "バァ/ b a:",
+ "ビィ/ b i:",
+ "ブゥ/ b u:",
+ "フャ/ hy a",
+ "ブュ/ by u",
+ "フョ/ hy o",
+ "ベェ/ b e:",
+ "ボォ/ b o:",
+ "パァ/ p a:",
+ "ピィ/ p i:",
+ "プゥ/ p u:",
+ "プャ/ py a",
+ "プュ/ py u",
+ "プョ/ py o",
+ "ペェ/ p e:",
+ "ポォ/ p o:",
+ "マァ/ m a:",
+ "ミィ/ m i:",
+ "ムゥ/ m u:",
+ "ムャ/ my a",
+ "ムュ/ my u",
+ "ムョ/ my o",
+ "メェ/ m e:",
+ "モォ/ m o:",
+ "ヤァ/ y a:",
+ "ユゥ/ y u:",
+ "ユャ/ y a:",
+ "ユュ/ y u:",
+ "ユョ/ y o:",
+ "ヨォ/ y o:",
+ "ラァ/ r a:",
+ "リィ/ r i:",
+ "ルゥ/ r u:",
+ "ルャ/ ry a",
+ "ルュ/ ry u",
+ "ルョ/ ry o",
+ "レェ/ r e:",
+ "ロォ/ r o:",
+ "ワァ/ w a:",
+ "ヲォ/ o:",
+ "ディ/ d i",
+ "デェ/ d e:",
+ "デャ/ dy a",
+ "デュ/ dy u",
+ "デョ/ dy o",
+ "ティ/ t i",
+ "テェ/ t e:",
+ "テャ/ ty a",
+ "テュ/ ty u",
+ "テョ/ ty o",
+ "スィ/ s i",
+ "ズァ/ z u a",
+ "ズィ/ z i",
+ "ズゥ/ z u",
+ "ズャ/ zy a",
+ "ズュ/ zy u",
+ "ズョ/ zy o",
+ "ズェ/ z e",
+ "ズォ/ z o",
+ "キャ/ ky a",
+ "キュ/ ky u",
+ "キョ/ ky o",
+ "シャ/ sh a",
+ "シュ/ sh u",
+ "シェ/ sh e",
+ "ショ/ sh o",
+ "チャ/ ch a",
+ "チュ/ ch u",
+ "チェ/ ch e",
+ "チョ/ ch o",
+ "トゥ/ t u",
+ "トャ/ ty a",
+ "トュ/ ty u",
+ "トョ/ ty o",
+ "ドァ/ d o a",
+ "ドゥ/ d u",
+ "ドャ/ dy a",
+ "ドュ/ dy u",
+ "ドョ/ dy o",
+ "ドォ/ d o:",
+ "ニャ/ ny a",
+ "ニュ/ ny u",
+ "ニョ/ ny o",
+ "ヒャ/ hy a",
+ "ヒュ/ hy u",
+ "ヒョ/ hy o",
+ "ミャ/ my a",
+ "ミュ/ my u",
+ "ミョ/ my o",
+ "リャ/ ry a",
+ "リュ/ ry u",
+ "リョ/ ry o",
+ "ギャ/ gy a",
+ "ギュ/ gy u",
+ "ギョ/ gy o",
+ "ヂェ/ j e",
+ "ヂャ/ j a",
+ "ヂュ/ j u",
+ "ヂョ/ j o",
+ "ジェ/ j e",
+ "ジャ/ j a",
+ "ジュ/ j u",
+ "ジョ/ j o",
+ "ビャ/ by a",
+ "ビュ/ by u",
+ "ビョ/ by o",
+ "ピャ/ py a",
+ "ピュ/ py u",
+ "ピョ/ py o",
+ "ウァ/ u a",
+ "ウィ/ w i",
+ "ウェ/ w e",
+ "ウォ/ w o",
+ "ファ/ f a",
+ "フィ/ f i",
+ "フゥ/ f u",
+ "フャ/ hy a",
+ "フュ/ hy u",
+ "フョ/ hy o",
+ "フェ/ f e",
+ "フォ/ f o",
+ "ヴァ/ b a",
+ "ヴィ/ b i",
+ "ヴェ/ b e",
+ "ヴォ/ b o",
+ "ヴュ/ by u",
+ # Conversion of 1 letter
+ "ア/ a",
+ "イ/ i",
+ "ウ/ u",
+ "エ/ e",
+ "オ/ o",
+ "カ/ k a",
+ "キ/ k i",
+ "ク/ k u",
+ "ケ/ k e",
+ "コ/ k o",
+ "サ/ s a",
+ "シ/ sh i",
+ "ス/ s u",
+ "セ/ s e",
+ "ソ/ s o",
+ "タ/ t a",
+ "チ/ ch i",
+ "ツ/ ts u",
+ "テ/ t e",
+ "ト/ t o",
+ "ナ/ n a",
+ "ニ/ n i",
+ "ヌ/ n u",
+ "ネ/ n e",
+ "ノ/ n o",
+ "ハ/ h a",
+ "ヒ/ h i",
+ "フ/ f u",
+ "ヘ/ h e",
+ "ホ/ h o",
+ "マ/ m a",
+ "ミ/ m i",
+ "ム/ m u",
+ "メ/ m e",
+ "モ/ m o",
+ "ラ/ r a",
+ "リ/ r i",
+ "ル/ r u",
+ "レ/ r e",
+ "ロ/ r o",
+ "ガ/ g a",
+ "ギ/ g i",
+ "グ/ g u",
+ "ゲ/ g e",
+ "ゴ/ g o",
+ "ザ/ z a",
+ "ジ/ j i",
+ "ズ/ z u",
+ "ゼ/ z e",
+ "ゾ/ z o",
+ "ダ/ d a",
+ "ヂ/ j i",
+ "ヅ/ z u",
+ "デ/ d e",
+ "ド/ d o",
+ "バ/ b a",
+ "ビ/ b i",
+ "ブ/ b u",
+ "ベ/ b e",
+ "ボ/ b o",
+ "パ/ p a",
+ "ピ/ p i",
+ "プ/ p u",
+ "ペ/ p e",
+ "ポ/ p o",
+ "ヤ/ y a",
+ "ユ/ y u",
+ "ヨ/ y o",
+ "ワ/ w a",
+ "ヰ/ i",
+ "ヱ/ e",
+ "ヲ/ o",
+ "ン/ N",
+ "ッ/ q",
+ "ヴ/ b u",
+ "ー/:",
+ # Try converting broken text
+ "ァ/ a",
+ "ィ/ i",
+ "ゥ/ u",
+ "ェ/ e",
+ "ォ/ o",
+ "ヮ/ w a",
+ "ォ/ o",
+ # Symbols
+ "、/ ,",
+ "。/ .",
+ "！/ !",
+ "？/ ?",
+ "・/ ,",
+]
+
+_COLON_RX = re.compile(":+")
+_REJECT_RX = re.compile("[^ a-zA-Z:,.?]")
+
+
+def _makerulemap():
+ l = [tuple(x.split("/")) for x in _CONVRULES]
+ return tuple({k: v for k, v in l if len(k) == i} for i in (1, 2))
+
+
+_RULEMAP1, _RULEMAP2 = _makerulemap()
+
+
+def kata2phoneme(text: str) -> str:
+ """Convert katakana text to phonemes."""
+ text = text.strip()
+ res = []
+ while text:
+ if len(text) >= 2:
+ x = _RULEMAP2.get(text[:2])
+ if x is not None:
+ text = text[2:]
+ res += x.split(" ")[1:]
+ continue
+ x = _RULEMAP1.get(text[0])
+ if x is not None:
+ text = text[1:]
+ res += x.split(" ")[1:]
+ continue
+ res.append(text[0])
+ text = text[1:]
+ # res = _COLON_RX.sub(":", res)
+ return res
+
+
+_KATAKANA = "".join(chr(ch) for ch in range(ord("ァ"), ord("ン") + 1))
+_HIRAGANA = "".join(chr(ch) for ch in range(ord("ぁ"), ord("ん") + 1))
+_HIRA2KATATRANS = str.maketrans(_HIRAGANA, _KATAKANA)
+
+
+def hira2kata(text: str) -> str:
+ text = text.translate(_HIRA2KATATRANS)
+ return text.replace("う゛", "ヴ")
+
+
+_SYMBOL_TOKENS = set(list("・、。？！"))
+_NO_YOMI_TOKENS = set(list("「」『』―（）［］[]"))
+_TAGGER = MeCab.Tagger()
+
+
+def text2kata(text: str) -> str:
+ parsed = _TAGGER.parse(text)
+ res = []
+ for line in parsed.split("\n"):
+ if line == "EOS":
+ break
+ parts = line.split("\t")
+
+ word, yomi = parts[0], parts[1]
+ if yomi:
+ res.append(yomi)
+ else:
+ if word in _SYMBOL_TOKENS:
+ res.append(word)
+ elif word in ("っ", "ッ"):
+ res.append("ッ")
+ elif word in _NO_YOMI_TOKENS:
+ pass
+ else:
+ res.append(word)
+ return hira2kata("".join(res))
+
+
+_ALPHASYMBOL_YOMI = {
+ "#": "シャープ",
+ "%": "パーセント",
+ "&": "アンド",
+ "+": "プラス",
+ "-": "マイナス",
+ ":": "コロン",
+ ";": "セミコロン",
+ "<": "小なり",
+ "=": "イコール",
+ ">": "大なり",
+ "@": "アット",
+ "a": "エー",
+ "b": "ビー",
+ "c": "シー",
+ "d": "ディー",
+ "e": "イー",
+ "f": "エフ",
+ "g": "ジー",
+ "h": "エイチ",
+ "i": "アイ",
+ "j": "ジェー",
+ "k": "ケー",
+ "l": "エル",
+ "m": "エム",
+ "n": "エヌ",
+ "o": "オー",
+ "p": "ピー",
+ "q": "キュー",
+ "r": "アール",
+ "s": "エス",
+ "t": "ティー",
+ "u": "ユー",
+ "v": "ブイ",
+ "w": "ダブリュー",
+ "x": "エックス",
+ "y": "ワイ",
+ "z": "ゼット",
+ "α": "アルファ",
+ "β": "ベータ",
+ "γ": "ガンマ",
+ "δ": "デルタ",
+ "ε": "イプシロン",
+ "ζ": "ゼータ",
+ "η": "イータ",
+ "θ": "シータ",
+ "ι": "イオタ",
+ "κ": "カッパ",
+ "λ": "ラムダ",
+ "μ": "ミュー",
+ "ν": "ニュー",
+ "ξ": "クサイ",
+ "ο": "オミクロン",
+ "π": "パイ",
+ "ρ": "ロー",
+ "σ": "シグマ",
+ "τ": "タウ",
+ "υ": "ウプシロン",
+ "φ": "ファイ",
+ "χ": "カイ",
+ "ψ": "プサイ",
+ "ω": "オメガ",
+}
+
+_NUMBER_WITH_SEPARATOR_RX = re.compile("[0-9]{1,3}(,[0-9]{3})+")
+_CURRENCY_MAP = {"$": "ドル", "¥": "円", "£": "ポンド", "€": "ユーロ"}
+_CURRENCY_RX = re.compile(r"([$¥£€])([0-9.]*[0-9])")
+_NUMBER_RX = re.compile(r"[0-9]+(\.[0-9]+)?")
+
+
+def japanese_convert_numbers_to_words(text: str) -> str:
+ res = _NUMBER_WITH_SEPARATOR_RX.sub(lambda m: m[0].replace(",", ""), text)
+ res = _CURRENCY_RX.sub(lambda m: m[2] + _CURRENCY_MAP.get(m[1], m[1]), res)
+ res = _NUMBER_RX.sub(lambda m: num2words(m[0], lang="ja"), res)
+ return res
+
+
+def japanese_convert_alpha_symbols_to_words(text: str) -> str:
+ return "".join([_ALPHASYMBOL_YOMI.get(ch, ch) for ch in text.lower()])
+
+
+def japanese_text_to_phonemes(text: str) -> str:
+ """Convert Japanese text to phonemes."""
+ res = unicodedata.normalize("NFKC", text)
+ res = japanese_convert_numbers_to_words(res)
+ # res = japanese_convert_alpha_symbols_to_words(res)
+ res = text2kata(res)
+ res = kata2phoneme(res)
+ return res
+
+
+def is_japanese_character(char):
+ # 定义日语文字系统的 Unicode 范围
+ japanese_ranges = [
+ (0x3040, 0x309F), # 平假名
+ (0x30A0, 0x30FF), # 片假名
+ (0x4E00, 0x9FFF), # 汉字 (CJK Unified Ideographs)
+ (0x3400, 0x4DBF), # 汉字扩展 A
+ (0x20000, 0x2A6DF), # 汉字扩展 B
+ # 可以根据需要添加其他汉字扩展范围
+ ]
+
+ # 将字符的 Unicode 编码转换为整数
+ char_code = ord(char)
+
+ # 检查字符是否在任何一个日语范围内
+ for start, end in japanese_ranges:
+ if start <= char_code <= end:
+ return True
+
+ return False
+
+
+rep_map = {
+ "：": ",",
+ "；": ",",
+ "，": ",",
+ "。": ".",
+ "！": "!",
+ "？": "?",
+ "\n": ".",
+ "·": ",",
+ "、": ",",
+ "...": "…",
+}
+
+
+def replace_punctuation(text):
+ pattern = re.compile("|".join(re.escape(p) for p in rep_map.keys()))
+
+ replaced_text = pattern.sub(lambda x: rep_map[x.group()], text)
+
+ replaced_text = re.sub(
+ r"[^\u3040-\u309F\u30A0-\u30FF\u4E00-\u9FFF\u3400-\u4DBF"
+ + "".join(punctuation)
+ + r"]+",
+ "",
+ replaced_text,
+ )
+
+ return replaced_text
+
+
+def text_normalize(text):
+ res = unicodedata.normalize("NFKC", text)
+ res = japanese_convert_numbers_to_words(res)
+ # res = "".join([i for i in res if is_japanese_character(i)])
+ res = replace_punctuation(res)
+ return res
+
+
+def distribute_phone(n_phone, n_word):
+ phones_per_word = [0] * n_word
+ for task in range(n_phone):
+ min_tasks = min(phones_per_word)
+ min_index = phones_per_word.index(min_tasks)
+ phones_per_word[min_index] += 1
+ return phones_per_word
+
+
+def g2p(norm_text, tokenizer, **kwargs):
+ tokenized = tokenizer.tokenize(norm_text)
+ phs = []
+ ph_groups = []
+ for t in tokenized:
+ if not t.startswith("#"):
+ ph_groups.append([t])
+ else:
+ ph_groups[-1].append(t.replace("#", ""))
+ word2ph = []
+ for group in ph_groups:
+ phonemes = kata2phoneme(text2kata("".join(group)))
+ # phonemes = [i for i in phonemes if i in symbols]
+ for i in phonemes:
+ assert i in symbols, (i, group, norm_text, tokenized)
+ phone_len = len(phonemes)
+ word_len = len(group)
+
+ aaa = distribute_phone(phone_len, word_len)
+ word2ph += aaa
+
+ phs += phonemes
+ phones = ["_"] + phs + ["_"]
+ tones = [0 for i in phones]
+ word2ph = [1] + word2ph + [1]
+ return phones, tones, word2ph
+
+
+if __name__ == "__main__":
+ from config import ABS_PATH
+ from transformers import AutoTokenizer
+
+ tokenizer = AutoTokenizer.from_pretrained(ABS_PATH + "/bert_vits2/bert/bert-base-japanese-v3")
+ text = "hello,こんにちは、世界！……"
+ from bert_vits2.text.japanese_bert import get_bert_feature
+
+ text = text_normalize(text)
+ print(text)
+ phones, tones, word2ph = g2p(text, tokenizer)
+ bert = get_bert_feature(text, word2ph)
+
+ print(phones, tones, word2ph, bert.shape)
diff --git a/bert_vits2/text/japanese_v200.py b/bert_vits2/text/japanese_v200.py
new file mode 100644
index 0000000000000000000000000000000000000000..9c8f66ce4de1472adb476f675ef1b4b9ef8725a5
--- /dev/null
+++ b/bert_vits2/text/japanese_v200.py
@@ -0,0 +1,399 @@
+# Convert Japanese text to phonemes which is
+# compatible with Julius https://github.com/julius-speech/segmentation-kit
+import re
+import unicodedata
+
+from bert_vits2.text import punctuation, symbols
+
+from num2words import num2words
+
+import pyopenjtalk
+import jaconv
+
+
+def kata2phoneme(text: str) -> str:
+ """Convert katakana text to phonemes."""
+ text = text.strip()
+ if text == "ー":
+ return ["ー"]
+ elif text.startswith("ー"):
+ return ["ー"] + kata2phoneme(text[1:])
+ res = []
+ prev = None
+ while text:
+ if re.match(_MARKS, text):
+ res.append(text)
+ text = text[1:]
+ continue
+ if text.startswith("ー"):
+ if prev:
+ res.append(prev[-1])
+ text = text[1:]
+ continue
+ res += pyopenjtalk.g2p(text).lower().replace("cl", "q").split(" ")
+ break
+ # res = _COLON_RX.sub(":", res)
+ return res
+
+
+def hira2kata(text: str) -> str:
+ return jaconv.hira2kata(text)
+
+
+_SYMBOL_TOKENS = set(list("・、。？！"))
+_NO_YOMI_TOKENS = set(list("「」『』―（）［］[]"))
+_MARKS = re.compile(
+ r"[^A-Za-z\d\u3005\u3040-\u30ff\u4e00-\u9fff\uff11-\uff19\uff21-\uff3a\uff41-\uff5a\uff66-\uff9d]"
+)
+
+
+def text2kata(text: str) -> str:
+ parsed = pyopenjtalk.run_frontend(text)
+
+ res = []
+ for parts in parsed:
+ word, yomi = replace_punctuation(parts["string"]), parts["pron"].replace(
+ "’", ""
+ )
+ if yomi:
+ if re.match(_MARKS, yomi):
+ if len(word) > 1:
+ word = [replace_punctuation(i) for i in list(word)]
+ yomi = word
+ res += yomi
+ sep += word
+ continue
+ elif word not in rep_map.keys() and word not in rep_map.values():
+ word = ","
+ yomi = word
+ res.append(yomi)
+ else:
+ if word in _SYMBOL_TOKENS:
+ res.append(word)
+ elif word in ("っ", "ッ"):
+ res.append("ッ")
+ elif word in _NO_YOMI_TOKENS:
+ pass
+ else:
+ res.append(word)
+ return hira2kata("".join(res))
+
+
+def text2sep_kata(text: str) -> (list, list):
+ parsed = pyopenjtalk.run_frontend(text)
+
+ res = []
+ sep = []
+ for parts in parsed:
+ word, yomi = replace_punctuation(parts["string"]), parts["pron"].replace(
+ "’", ""
+ )
+ if yomi:
+ if re.match(_MARKS, yomi):
+ if len(word) > 1:
+ word = [replace_punctuation(i) for i in list(word)]
+ yomi = word
+ res += yomi
+ sep += word
+ continue
+ elif word not in rep_map.keys() and word not in rep_map.values():
+ word = ","
+ yomi = word
+ res.append(yomi)
+ else:
+ if word in _SYMBOL_TOKENS:
+ res.append(word)
+ elif word in ("っ", "ッ"):
+ res.append("ッ")
+ elif word in _NO_YOMI_TOKENS:
+ pass
+ else:
+ res.append(word)
+ sep.append(word)
+ return sep, [hira2kata(i) for i in res], get_accent(parsed)
+
+
+def get_accent(parsed):
+ labels = pyopenjtalk.make_label(parsed)
+
+ phonemes = []
+ accents = []
+ for n, label in enumerate(labels):
+ phoneme = re.search(r"\-([^\+]*)\+", label).group(1)
+ if phoneme not in ["sil", "pau"]:
+ phonemes.append(phoneme.replace("cl", "q").lower())
+ else:
+ continue
+ a1 = int(re.search(r"/A:(\-?[0-9]+)\+", label).group(1))
+ a2 = int(re.search(r"\+(\d+)\+", label).group(1))
+ if re.search(r"\-([^\+]*)\+", labels[n + 1]).group(1) in ["sil", "pau"]:
+ a2_next = -1
+ else:
+ a2_next = int(re.search(r"\+(\d+)\+", labels[n + 1]).group(1))
+ # Falling
+ if a1 == 0 and a2_next == a2 + 1:
+ accents.append(-1)
+ # Rising
+ elif a2 == 1 and a2_next == 2:
+ accents.append(1)
+ else:
+ accents.append(0)
+ return list(zip(phonemes, accents))
+
+
+_ALPHASYMBOL_YOMI = {
+ "#": "シャープ",
+ "%": "パーセント",
+ "&": "アンド",
+ "+": "プラス",
+ "-": "マイナス",
+ ":": "コロン",
+ ";": "セミコロン",
+ "<": "小なり",
+ "=": "イコール",
+ ">": "大なり",
+ "@": "アット",
+ "a": "エー",
+ "b": "ビー",
+ "c": "シー",
+ "d": "ディー",
+ "e": "イー",
+ "f": "エフ",
+ "g": "ジー",
+ "h": "エイチ",
+ "i": "アイ",
+ "j": "ジェー",
+ "k": "ケー",
+ "l": "エル",
+ "m": "エム",
+ "n": "エヌ",
+ "o": "オー",
+ "p": "ピー",
+ "q": "キュー",
+ "r": "アール",
+ "s": "エス",
+ "t": "ティー",
+ "u": "ユー",
+ "v": "ブイ",
+ "w": "ダブリュー",
+ "x": "エックス",
+ "y": "ワイ",
+ "z": "ゼット",
+ "α": "アルファ",
+ "β": "ベータ",
+ "γ": "ガンマ",
+ "δ": "デルタ",
+ "ε": "イプシロン",
+ "ζ": "ゼータ",
+ "η": "イータ",
+ "θ": "シータ",
+ "ι": "イオタ",
+ "κ": "カッパ",
+ "λ": "ラムダ",
+ "μ": "ミュー",
+ "ν": "ニュー",
+ "ξ": "クサイ",
+ "ο": "オミクロン",
+ "π": "パイ",
+ "ρ": "ロー",
+ "σ": "シグマ",
+ "τ": "タウ",
+ "υ": "ウプシロン",
+ "φ": "ファイ",
+ "χ": "カイ",
+ "ψ": "プサイ",
+ "ω": "オメガ",
+}
+
+_NUMBER_WITH_SEPARATOR_RX = re.compile("[0-9]{1,3}(,[0-9]{3})+")
+_CURRENCY_MAP = {"$": "ドル", "¥": "円", "£": "ポンド", "€": "ユーロ"}
+_CURRENCY_RX = re.compile(r"([$¥£€])([0-9.]*[0-9])")
+_NUMBER_RX = re.compile(r"[0-9]+(\.[0-9]+)?")
+
+
+def japanese_convert_numbers_to_words(text: str) -> str:
+ res = _NUMBER_WITH_SEPARATOR_RX.sub(lambda m: m[0].replace(",", ""), text)
+ res = _CURRENCY_RX.sub(lambda m: m[2] + _CURRENCY_MAP.get(m[1], m[1]), res)
+ res = _NUMBER_RX.sub(lambda m: num2words(m[0], lang="ja"), res)
+ return res
+
+
+def japanese_convert_alpha_symbols_to_words(text: str) -> str:
+ return "".join([_ALPHASYMBOL_YOMI.get(ch, ch) for ch in text.lower()])
+
+
+def japanese_text_to_phonemes(text: str) -> str:
+ """Convert Japanese text to phonemes."""
+ res = unicodedata.normalize("NFKC", text)
+ res = japanese_convert_numbers_to_words(res)
+ # res = japanese_convert_alpha_symbols_to_words(res)
+ res = text2kata(res)
+ res = kata2phoneme(res)
+ return res
+
+
+def is_japanese_character(char):
+ # 定义日语文字系统的 Unicode 范围
+ japanese_ranges = [
+ (0x3040, 0x309F), # 平假名
+ (0x30A0, 0x30FF), # 片假名
+ (0x4E00, 0x9FFF), # 汉字 (CJK Unified Ideographs)
+ (0x3400, 0x4DBF), # 汉字扩展 A
+ (0x20000, 0x2A6DF), # 汉字扩展 B
+ # 可以根据需要添加其他汉字扩展范围
+ ]
+
+ # 将字符的 Unicode 编码转换为整数
+ char_code = ord(char)
+
+ # 检查字符是否在任何一个日语范围内
+ for start, end in japanese_ranges:
+ if start <= char_code <= end:
+ return True
+
+ return False
+
+
+rep_map = {
+ "：": ",",
+ "；": ",",
+ "，": ",",
+ "。": ".",
+ "！": "!",
+ "？": "?",
+ "\n": ".",
+ "．": ".",
+ "...": "…",
+ "···": "…",
+ "・・・": "…",
+ "·": ",",
+ "・": ",",
+ "、": ",",
+ "$": ".",
+ "“": "'",
+ "”": "'",
+ "‘": "'",
+ "’": "'",
+ "（": "'",
+ "）": "'",
+ "(": "'",
+ ")": "'",
+ "《": "'",
+ "》": "'",
+ "【": "'",
+ "】": "'",
+ "[": "'",
+ "]": "'",
+ "—": "-",
+ "−": "-",
+ "～": "-",
+ "~": "-",
+ "「": "'",
+ "」": "'",
+}
+
+
+def replace_punctuation(text):
+ pattern = re.compile("|".join(re.escape(p) for p in rep_map.keys()))
+
+ replaced_text = pattern.sub(lambda x: rep_map[x.group()], text)
+
+ replaced_text = re.sub(
+ r"[^\u3040-\u309F\u30A0-\u30FF\u4E00-\u9FFF\u3400-\u4DBF\u3005"
+ + "".join(punctuation)
+ + r"]+",
+ "",
+ replaced_text,
+ )
+
+ return replaced_text
+
+
+def text_normalize(text):
+ res = unicodedata.normalize("NFKC", text)
+ res = japanese_convert_numbers_to_words(res)
+ # res = "".join([i for i in res if is_japanese_character(i)])
+ res = replace_punctuation(res)
+ return res
+
+
+def distribute_phone(n_phone, n_word):
+ phones_per_word = [0] * n_word
+ for task in range(n_phone):
+ min_tasks = min(phones_per_word)
+ min_index = phones_per_word.index(min_tasks)
+ phones_per_word[min_index] += 1
+ return phones_per_word
+
+
+def handle_long(sep_phonemes):
+ for i in range(len(sep_phonemes)):
+ if sep_phonemes[i][0] == "ー":
+ sep_phonemes[i][0] = sep_phonemes[i - 1][-1]
+ if "ー" in sep_phonemes[i]:
+ for j in range(len(sep_phonemes[i])):
+ if sep_phonemes[i][j] == "ー":
+ sep_phonemes[i][j] = sep_phonemes[i][j - 1][-1]
+ return sep_phonemes
+
+
+def align_tones(phones, tones):
+ res = []
+ for pho in phones:
+ temp = [0] * len(pho)
+ for idx, p in enumerate(pho):
+ if len(tones) == 0:
+ break
+ if p == tones[0][0]:
+ temp[idx] = tones[0][1]
+ if idx > 0:
+ temp[idx] += temp[idx - 1]
+ tones.pop(0)
+ temp = [0] + temp
+ temp = temp[:-1]
+ if -1 in temp:
+ temp = [i + 1 for i in temp]
+ res.append(temp)
+ res = [i for j in res for i in j]
+ assert not any([i < 0 for i in res]) and not any([i > 1 for i in res])
+ return res
+
+
+def g2p(norm_text, tokenizer, **kwargs):
+ sep_text, sep_kata, acc = text2sep_kata(norm_text)
+ sep_tokenized = [tokenizer.tokenize(i) for i in sep_text]
+ sep_phonemes = handle_long([kata2phoneme(i) for i in sep_kata])
+ # 异常处理，MeCab不认识的词的话会一路传到这里来，然后炸掉。目前来看只有那些超级稀有的生僻词会出现这种情况
+ for i in sep_phonemes:
+ for j in i:
+ assert j in symbols, (sep_text, sep_kata, sep_phonemes)
+ tones = align_tones(sep_phonemes, acc)
+
+ word2ph = []
+ for token, phoneme in zip(sep_tokenized, sep_phonemes):
+ phone_len = len(phoneme)
+ word_len = len(token)
+
+ aaa = distribute_phone(phone_len, word_len)
+ word2ph += aaa
+ phones = ["_"] + [j for i in sep_phonemes for j in i] + ["_"]
+ tones = [0] + tones + [0]
+ word2ph = [1] + word2ph + [1]
+ assert len(phones) == len(tones)
+ return phones, tones, word2ph
+
+
+if __name__ == "__main__":
+ from transformers import AutoTokenizer
+
+ tokenizer = AutoTokenizer.from_pretrained("./bert/deberta-v2-large-japanese")
+ text = "hello,こんにちは、世界ー！……"
+ from bert_vits2.text.japanese_bert_v200 import get_bert_feature
+
+ text = text_normalize(text)
+ print(text)
+
+ phones, tones, word2ph = g2p(text, tokenizer)
+ bert = get_bert_feature(text, word2ph)
+
+ print(phones, tones, word2ph, bert.shape)
diff --git a/bert_vits2/text/opencpop-strict.txt b/bert_vits2/text/opencpop-strict.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1bede89a429e34b1a58781ee570fc313b80c0aee
--- /dev/null
+++ b/bert_vits2/text/opencpop-strict.txt
@@ -0,0 +1,429 @@
+a AA a
+ai AA ai
+an AA an
+ang AA ang
+ao AA ao
+ba b a
+bai b ai
+ban b an
+bang b ang
+bao b ao
+bei b ei
+ben b en
+beng b eng
+bi b i
+bian b ian
+biao b iao
+bie b ie
+bin b in
+bing b ing
+bo b o
+bu b u
+ca c a
+cai c ai
+can c an
+cang c ang
+cao c ao
+ce c e
+cei c ei
+cen c en
+ceng c eng
+cha ch a
+chai ch ai
+chan ch an
+chang ch ang
+chao ch ao
+che ch e
+chen ch en
+cheng ch eng
+chi ch ir
+chong ch ong
+chou ch ou
+chu ch u
+chua ch ua
+chuai ch uai
+chuan ch uan
+chuang ch uang
+chui ch ui
+chun ch un
+chuo ch uo
+ci c i0
+cong c ong
+cou c ou
+cu c u
+cuan c uan
+cui c ui
+cun c un
+cuo c uo
+da d a
+dai d ai
+dan d an
+dang d ang
+dao d ao
+de d e
+dei d ei
+den d en
+deng d eng
+di d i
+dia d ia
+dian d ian
+diao d iao
+die d ie
+ding d ing
+diu d iu
+dong d ong
+dou d ou
+du d u
+duan d uan
+dui d ui
+dun d un
+duo d uo
+e EE e
+ei EE ei
+en EE en
+eng EE eng
+er EE er
+fa f a
+fan f an
+fang f ang
+fei f ei
+fen f en
+feng f eng
+fo f o
+fou f ou
+fu f u
+ga g a
+gai g ai
+gan g an
+gang g ang
+gao g ao
+ge g e
+gei g ei
+gen g en
+geng g eng
+gong g ong
+gou g ou
+gu g u
+gua g ua
+guai g uai
+guan g uan
+guang g uang
+gui g ui
+gun g un
+guo g uo
+ha h a
+hai h ai
+han h an
+hang h ang
+hao h ao
+he h e
+hei h ei
+hen h en
+heng h eng
+hong h ong
+hou h ou
+hu h u
+hua h ua
+huai h uai
+huan h uan
+huang h uang
+hui h ui
+hun h un
+huo h uo
+ji j i
+jia j ia
+jian j ian
+jiang j iang
+jiao j iao
+jie j ie
+jin j in
+jing j ing
+jiong j iong
+jiu j iu
+ju j v
+jv j v
+juan j van
+jvan j van
+jue j ve
+jve j ve
+jun j vn
+jvn j vn
+ka k a
+kai k ai
+kan k an
+kang k ang
+kao k ao
+ke k e
+kei k ei
+ken k en
+keng k eng
+kong k ong
+kou k ou
+ku k u
+kua k ua
+kuai k uai
+kuan k uan
+kuang k uang
+kui k ui
+kun k un
+kuo k uo
+la l a
+lai l ai
+lan l an
+lang l ang
+lao l ao
+le l e
+lei l ei
+leng l eng
+li l i
+lia l ia
+lian l ian
+liang l iang
+liao l iao
+lie l ie
+lin l in
+ling l ing
+liu l iu
+lo l o
+long l ong
+lou l ou
+lu l u
+luan l uan
+lun l un
+luo l uo
+lv l v
+lve l ve
+ma m a
+mai m ai
+man m an
+mang m ang
+mao m ao
+me m e
+mei m ei
+men m en
+meng m eng
+mi m i
+mian m ian
+miao m iao
+mie m ie
+min m in
+ming m ing
+miu m iu
+mo m o
+mou m ou
+mu m u
+na n a
+nai n ai
+nan n an
+nang n ang
+nao n ao
+ne n e
+nei n ei
+nen n en
+neng n eng
+ni n i
+nian n ian
+niang n iang
+niao n iao
+nie n ie
+nin n in
+ning n ing
+niu n iu
+nong n ong
+nou n ou
+nu n u
+nuan n uan
+nun n un
+nuo n uo
+nv n v
+nve n ve
+o OO o
+ou OO ou
+pa p a
+pai p ai
+pan p an
+pang p ang
+pao p ao
+pei p ei
+pen p en
+peng p eng
+pi p i
+pian p ian
+piao p iao
+pie p ie
+pin p in
+ping p ing
+po p o
+pou p ou
+pu p u
+qi q i
+qia q ia
+qian q ian
+qiang q iang
+qiao q iao
+qie q ie
+qin q in
+qing q ing
+qiong q iong
+qiu q iu
+qu q v
+qv q v
+quan q van
+qvan q van
+que q ve
+qve q ve
+qun q vn
+qvn q vn
+ran r an
+rang r ang
+rao r ao
+re r e
+ren r en
+reng r eng
+ri r ir
+rong r ong
+rou r ou
+ru r u
+rua r ua
+ruan r uan
+rui r ui
+run r un
+ruo r uo
+sa s a
+sai s ai
+san s an
+sang s ang
+sao s ao
+se s e
+sen s en
+seng s eng
+sha sh a
+shai sh ai
+shan sh an
+shang sh ang
+shao sh ao
+she sh e
+shei sh ei
+shen sh en
+sheng sh eng
+shi sh ir
+shou sh ou
+shu sh u
+shua sh ua
+shuai sh uai
+shuan sh uan
+shuang sh uang
+shui sh ui
+shun sh un
+shuo sh uo
+si s i0
+song s ong
+sou s ou
+su s u
+suan s uan
+sui s ui
+sun s un
+suo s uo
+ta t a
+tai t ai
+tan t an
+tang t ang
+tao t ao
+te t e
+tei t ei
+teng t eng
+ti t i
+tian t ian
+tiao t iao
+tie t ie
+ting t ing
+tong t ong
+tou t ou
+tu t u
+tuan t uan
+tui t ui
+tun t un
+tuo t uo
+wa w a
+wai w ai
+wan w an
+wang w ang
+wei w ei
+wen w en
+weng w eng
+wo w o
+wu w u
+xi x i
+xia x ia
+xian x ian
+xiang x iang
+xiao x iao
+xie x ie
+xin x in
+xing x ing
+xiong x iong
+xiu x iu
+xu x v
+xv x v
+xuan x van
+xvan x van
+xue x ve
+xve x ve
+xun x vn
+xvn x vn
+ya y a
+yan y En
+yang y ang
+yao y ao
+ye y E
+yi y i
+yin y in
+ying y ing
+yo y o
+yong y ong
+you y ou
+yu y v
+yv y v
+yuan y van
+yvan y van
+yue y ve
+yve y ve
+yun y vn
+yvn y vn
+za z a
+zai z ai
+zan z an
+zang z ang
+zao z ao
+ze z e
+zei z ei
+zen z en
+zeng z eng
+zha zh a
+zhai zh ai
+zhan zh an
+zhang zh ang
+zhao zh ao
+zhe zh e
+zhei zh ei
+zhen zh en
+zheng zh eng
+zhi zh ir
+zhong zh ong
+zhou zh ou
+zhu zh u
+zhua zh ua
+zhuai zh uai
+zhuan zh uan
+zhuang zh uang
+zhui zh ui
+zhun zh un
+zhuo zh uo
+zi z i0
+zong z ong
+zou z ou
+zu z u
+zuan z uan
+zui z ui
+zun z un
+zuo z uo
diff --git a/bert_vits2/text/symbols.py b/bert_vits2/text/symbols.py
new file mode 100644
index 0000000000000000000000000000000000000000..1917f4aab1bb4af729450e45988632fbf96d9ada
--- /dev/null
+++ b/bert_vits2/text/symbols.py
@@ -0,0 +1,206 @@
+punctuation = ["!", "?", "…", ",", ".", "'", "-"]
+pu_symbols = punctuation + ["SP", "UNK"]
+pad = "_"
+
+# chinese
+zh_symbols = [
+ "E",
+ "En",
+ "a",
+ "ai",
+ "an",
+ "ang",
+ "ao",
+ "b",
+ "c",
+ "ch",
+ "d",
+ "e",
+ "ei",
+ "en",
+ "eng",
+ "er",
+ "f",
+ "g",
+ "h",
+ "i",
+ "i0",
+ "ia",
+ "ian",
+ "iang",
+ "iao",
+ "ie",
+ "in",
+ "ing",
+ "iong",
+ "ir",
+ "iu",
+ "j",
+ "k",
+ "l",
+ "m",
+ "n",
+ "o",
+ "ong",
+ "ou",
+ "p",
+ "q",
+ "r",
+ "s",
+ "sh",
+ "t",
+ "u",
+ "ua",
+ "uai",
+ "uan",
+ "uang",
+ "ui",
+ "un",
+ "uo",
+ "v",
+ "van",
+ "ve",
+ "vn",
+ "w",
+ "x",
+ "y",
+ "z",
+ "zh",
+ "AA",
+ "EE",
+ "OO",
+]
+num_zh_tones = 6
+
+# japanese
+ja_symbols_legacy = ['I', 'N', 'U', 'a', 'b', 'by', 'ch', 'cl', 'd', 'dy', 'e', 'f', 'g', 'gy', 'h', 'hy', 'i', 'j',
+ 'k', 'ky',
+ 'm', 'my', 'n', 'ny', 'o', 'p', 'py', 'r', 'ry', 's', 'sh', 't', 'ts', 'u', 'V', 'w', 'y', 'z']
+ja_symbols = [
+ "N",
+ "a",
+ "a:",
+ "b",
+ "by",
+ "ch",
+ "d",
+ "dy",
+ "e",
+ "e:",
+ "f",
+ "g",
+ "gy",
+ "h",
+ "hy",
+ "i",
+ "i:",
+ "j",
+ "k",
+ "ky",
+ "m",
+ "my",
+ "n",
+ "ny",
+ "o",
+ "o:",
+ "p",
+ "py",
+ "q",
+ "r",
+ "ry",
+ "s",
+ "sh",
+ "t",
+ "ts",
+ "ty",
+ "u",
+ "u:",
+ "w",
+ "y",
+ "z",
+ "zy",
+]
+num_ja_tones_v111 = 1
+num_ja_tones = 2
+
+# English
+en_symbols = [
+ "aa",
+ "ae",
+ "ah",
+ "ao",
+ "aw",
+ "ay",
+ "b",
+ "ch",
+ "d",
+ "dh",
+ "eh",
+ "er",
+ "ey",
+ "f",
+ "g",
+ "hh",
+ "ih",
+ "iy",
+ "jh",
+ "k",
+ "l",
+ "m",
+ "n",
+ "ng",
+ "ow",
+ "oy",
+ "p",
+ "r",
+ "s",
+ "sh",
+ "t",
+ "th",
+ "uh",
+ "uw",
+ "V",
+ "w",
+ "y",
+ "z",
+ "zh",
+]
+num_en_tones = 4
+
+normal_symbols = sorted(set(zh_symbols + ja_symbols + en_symbols))
+symbols = [pad] + normal_symbols + pu_symbols
+sil_phonemes_ids = [symbols.index(i) for i in pu_symbols]
+
+# legacy
+normal_symbols_legacy = sorted(set(zh_symbols + ja_symbols_legacy + en_symbols))
+symbols_legacy = [pad] + normal_symbols_legacy + pu_symbols
+sil_phonemes_ids_legacy = [symbols_legacy.index(i) for i in pu_symbols]
+
+# combine all tones
+num_tones_v111 = num_zh_tones + num_ja_tones_v111 + num_en_tones
+num_tones = num_zh_tones + num_ja_tones + num_en_tones
+
+# language maps
+language_id_map = {"zh": 0, "ja": 1, "en": 2}
+num_languages = len(language_id_map.keys())
+
+language_tone_start_map_v111 = {
+ "zh": 0,
+ "ja": num_zh_tones,
+ "en": num_zh_tones + num_ja_tones_v111,
+}
+
+language_tone_start_map = {
+ "zh": 0,
+ "ja": num_zh_tones,
+ "en": num_zh_tones + num_ja_tones,
+}
+
+if __name__ == "__main__":
+ zh = set(zh_symbols)
+ en = set(en_symbols)
+ ja = set(ja_symbols)
+ print(zh)
+ print(en)
+ print(ja)
+ print(sorted(zh & en))
diff --git a/bert_vits2/text/tone_sandhi.py b/bert_vits2/text/tone_sandhi.py
new file mode 100644
index 0000000000000000000000000000000000000000..38f3137858bdb3b2b4da95fe72d8dce6c5c41fa1
--- /dev/null
+++ b/bert_vits2/text/tone_sandhi.py
@@ -0,0 +1,776 @@
+# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+from typing import List
+from typing import Tuple
+
+import jieba
+from pypinyin import lazy_pinyin
+from pypinyin import Style
+
+
+class ToneSandhi:
+ def __init__(self):
+ self.must_neural_tone_words = {
+ "麻烦",
+ "麻利",
+ "鸳鸯",
+ "高粱",
+ "骨头",
+ "骆驼",
+ "马虎",
+ "首饰",
+ "馒头",
+ "馄饨",
+ "风筝",
+ "难为",
+ "队伍",
+ "阔气",
+ "闺女",
+ "门道",
+ "锄头",
+ "铺盖",
+ "铃铛",
+ "铁匠",
+ "钥匙",
+ "里脊",
+ "里头",
+ "部分",
+ "那么",
+ "道士",
+ "造化",
+ "迷糊",
+ "连累",
+ "这么",
+ "这个",
+ "运气",
+ "过去",
+ "软和",
+ "转悠",
+ "踏实",
+ "跳蚤",
+ "跟头",
+ "趔趄",
+ "财主",
+ "豆腐",
+ "讲究",
+ "记性",
+ "记号",
+ "认识",
+ "规矩",
+ "见识",
+ "裁缝",
+ "补丁",
+ "衣裳",
+ "衣服",
+ "衙门",
+ "街坊",
+ "行李",
+ "行当",
+ "蛤蟆",
+ "蘑菇",
+ "薄荷",
+ "葫芦",
+ "葡萄",
+ "萝卜",
+ "荸荠",
+ "苗条",
+ "苗头",
+ "苍蝇",
+ "芝麻",
+ "舒服",
+ "舒坦",
+ "舌头",
+ "自在",
+ "膏药",
+ "脾气",
+ "脑袋",
+ "脊梁",
+ "能耐",
+ "胳膊",
+ "胭脂",
+ "胡萝",
+ "胡琴",
+ "胡同",
+ "聪明",
+ "耽误",
+ "耽搁",
+ "耷拉",
+ "耳朵",
+ "老爷",
+ "老实",
+ "老婆",
+ "老头",
+ "老太",
+ "翻腾",
+ "罗嗦",
+ "罐头",
+ "编辑",
+ "结实",
+ "红火",
+ "累赘",
+ "糨糊",
+ "糊涂",
+ "精神",
+ "粮食",
+ "簸箕",
+ "篱笆",
+ "算计",
+ "算盘",
+ "答应",
+ "笤帚",
+ "笑语",
+ "笑话",
+ "窟窿",
+ "窝囊",
+ "窗户",
+ "稳当",
+ "稀罕",
+ "称呼",
+ "秧歌",
+ "秀气",
+ "秀才",
+ "福气",
+ "祖宗",
+ "砚台",
+ "码头",
+ "石榴",
+ "石头",
+ "石匠",
+ "知识",
+ "眼睛",
+ "眯缝",
+ "眨巴",
+ "眉毛",
+ "相声",
+ "盘算",
+ "白净",
+ "痢疾",
+ "痛快",
+ "疟疾",
+ "疙瘩",
+ "疏忽",
+ "畜生",
+ "生意",
+ "甘蔗",
+ "琵琶",
+ "琢磨",
+ "琉璃",
+ "玻璃",
+ "玫瑰",
+ "玄乎",
+ "狐狸",
+ "状元",
+ "特务",
+ "牲口",
+ "牙碜",
+ "牌楼",
+ "爽快",
+ "爱人",
+ "热闹",
+ "烧饼",
+ "烟筒",
+ "烂糊",
+ "点心",
+ "炊帚",
+ "灯笼",
+ "火候",
+ "漂亮",
+ "滑溜",
+ "溜达",
+ "温和",
+ "清楚",
+ "消息",
+ "浪头",
+ "活泼",
+ "比方",
+ "正经",
+ "欺负",
+ "模糊",
+ "槟榔",
+ "棺材",
+ "棒槌",
+ "棉花",
+ "核桃",
+ "栅栏",
+ "柴火",
+ "架势",
+ "枕头",
+ "枇杷",
+ "机灵",
+ "本事",
+ "木头",
+ "木匠",
+ "朋友",
+ "月饼",
+ "月亮",
+ "暖和",
+ "明白",
+ "时候",
+ "新鲜",
+ "故事",
+ "收拾",
+ "收成",
+ "提防",
+ "挖苦",
+ "挑剔",
+ "指甲",
+ "指头",
+ "拾掇",
+ "拳头",
+ "拨弄",
+ "招牌",
+ "招呼",
+ "抬举",
+ "护士",
+ "折腾",
+ "扫帚",
+ "打量",
+ "打算",
+ "打点",
+ "打扮",
+ "打听",
+ "打发",
+ "扎实",
+ "扁担",
+ "戒指",
+ "懒得",
+ "意识",
+ "意思",
+ "情形",
+ "悟性",
+ "怪物",
+ "思量",
+ "怎么",
+ "念头",
+ "念叨",
+ "快活",
+ "忙活",
+ "志气",
+ "心思",
+ "得罪",
+ "张罗",
+ "弟兄",
+ "开通",
+ "应酬",
+ "庄稼",
+ "干事",
+ "帮手",
+ "帐篷",
+ "希罕",
+ "师父",
+ "师傅",
+ "巴结",
+ "巴掌",
+ "差事",
+ "工夫",
+ "岁数",
+ "屁股",
+ "尾巴",
+ "少爷",
+ "小气",
+ "小伙",
+ "将就",
+ "对头",
+ "对付",
+ "寡妇",
+ "家伙",
+ "客气",
+ "实在",
+ "官司",
+ "学问",
+ "学生",
+ "字号",
+ "嫁妆",
+ "媳妇",
+ "媒人",
+ "婆家",
+ "娘家",
+ "委屈",
+ "姑娘",
+ "姐夫",
+ "妯娌",
+ "妥当",
+ "妖精",
+ "奴才",
+ "女婿",
+ "头发",
+ "太阳",
+ "大爷",
+ "大方",
+ "大意",
+ "大夫",
+ "多少",
+ "多么",
+ "外甥",
+ "壮实",
+ "地道",
+ "地方",
+ "在乎",
+ "困难",
+ "嘴巴",
+ "嘱咐",
+ "嘟囔",
+ "嘀咕",
+ "喜欢",
+ "喇嘛",
+ "喇叭",
+ "商量",
+ "唾沫",
+ "哑巴",
+ "哈欠",
+ "哆嗦",
+ "咳嗽",
+ "和尚",
+ "告诉",
+ "告示",
+ "含糊",
+ "吓唬",
+ "后头",
+ "名字",
+ "名堂",
+ "合同",
+ "吆喝",
+ "叫唤",
+ "口袋",
+ "厚道",
+ "厉害",
+ "千斤",
+ "包袱",
+ "包涵",
+ "匀称",
+ "勤快",
+ "动静",
+ "动弹",
+ "功夫",
+ "力气",
+ "前头",
+ "刺猬",
+ "刺激",
+ "别扭",
+ "利落",
+ "利索",
+ "利害",
+ "分析",
+ "出息",
+ "凑合",
+ "凉快",
+ "冷战",
+ "冤枉",
+ "冒失",
+ "养活",
+ "关系",
+ "先生",
+ "兄弟",
+ "便宜",
+ "使唤",
+ "佩服",
+ "作坊",
+ "体面",
+ "位置",
+ "似的",
+ "伙计",
+ "休息",
+ "什么",
+ "人家",
+ "亲戚",
+ "亲家",
+ "交情",
+ "云彩",
+ "事情",
+ "买卖",
+ "主意",
+ "丫头",
+ "丧气",
+ "两口",
+ "东西",
+ "东家",
+ "世故",
+ "不由",
+ "不在",
+ "下水",
+ "下巴",
+ "上头",
+ "上司",
+ "丈夫",
+ "丈人",
+ "一辈",
+ "那个",
+ "菩萨",
+ "父亲",
+ "母亲",
+ "咕噜",
+ "邋遢",
+ "费用",
+ "冤家",
+ "甜头",
+ "介绍",
+ "荒唐",
+ "大人",
+ "泥鳅",
+ "幸福",
+ "熟悉",
+ "计划",
+ "扑腾",
+ "蜡烛",
+ "姥爷",
+ "照顾",
+ "喉咙",
+ "吉他",
+ "弄堂",
+ "蚂蚱",
+ "凤凰",
+ "拖沓",
+ "寒碜",
+ "糟蹋",
+ "倒腾",
+ "报复",
+ "逻辑",
+ "盘缠",
+ "喽啰",
+ "牢骚",
+ "咖喱",
+ "扫把",
+ "惦记",
+ }
+ self.must_not_neural_tone_words = {
+ "男子",
+ "女子",
+ "分子",
+ "原子",
+ "量子",
+ "莲子",
+ "石子",
+ "瓜子",
+ "电子",
+ "人人",
+ "虎虎",
+ }
+ self.punc = "：，；。？！“”‘’':,;.?!"
+
+ # the meaning of jieba pos tag: https://blog.csdn.net/weixin_44174352/article/details/113731041
+ # e.g.
+ # word: "家里"
+ # pos: "s"
+ # finals: ['ia1', 'i3']
+ def _neural_sandhi(self, word: str, pos: str, finals: List[str]) -> List[str]:
+ # reduplication words for n. and v. e.g. 奶奶, 试试, 旺旺
+ for j, item in enumerate(word):
+ if (
+ j - 1 >= 0
+ and item == word[j - 1]
+ and pos[0] in {"n", "v", "a"}
+ and word not in self.must_not_neural_tone_words
+ ):
+ finals[j] = finals[j][:-1] + "5"
+ ge_idx = word.find("个")
+ if len(word) >= 1 and word[-1] in "吧呢啊呐噻嘛吖嗨呐哦哒额滴哩哟喽啰耶喔诶":
+ finals[-1] = finals[-1][:-1] + "5"
+ elif len(word) >= 1 and word[-1] in "的地得":
+ finals[-1] = finals[-1][:-1] + "5"
+ # e.g. 走了, 看着, 去过
+ # elif len(word) == 1 and word in "了着过" and pos in {"ul", "uz", "ug"}:
+ # finals[-1] = finals[-1][:-1] + "5"
+ elif (
+ len(word) > 1
+ and word[-1] in "们子"
+ and pos in {"r", "n"}
+ and word not in self.must_not_neural_tone_words
+ ):
+ finals[-1] = finals[-1][:-1] + "5"
+ # e.g. 桌上, 地下, 家里
+ elif len(word) > 1 and word[-1] in "上下里" and pos in {"s", "l", "f"}:
+ finals[-1] = finals[-1][:-1] + "5"
+ # e.g. 上来, 下去
+ elif len(word) > 1 and word[-1] in "来去" and word[-2] in "上下进出回过起开":
+ finals[-1] = finals[-1][:-1] + "5"
+ # 个做量词
+ elif (
+ ge_idx >= 1
+ and (
+ word[ge_idx - 1].isnumeric()
+ or word[ge_idx - 1] in "几有两半多各整每做是"
+ )
+ ) or word == "个":
+ finals[ge_idx] = finals[ge_idx][:-1] + "5"
+ else:
+ if (
+ word in self.must_neural_tone_words
+ or word[-2:] in self.must_neural_tone_words
+ ):
+ finals[-1] = finals[-1][:-1] + "5"
+
+ word_list = self._split_word(word)
+ finals_list = [finals[: len(word_list[0])], finals[len(word_list[0]) :]]
+ for i, word in enumerate(word_list):
+ # conventional neural in Chinese
+ if (
+ word in self.must_neural_tone_words
+ or word[-2:] in self.must_neural_tone_words
+ ):
+ finals_list[i][-1] = finals_list[i][-1][:-1] + "5"
+ finals = sum(finals_list, [])
+ return finals
+
+ def _bu_sandhi(self, word: str, finals: List[str]) -> List[str]:
+ # e.g. 看不懂
+ if len(word) == 3 and word[1] == "不":
+ finals[1] = finals[1][:-1] + "5"
+ else:
+ for i, char in enumerate(word):
+ # "不" before tone4 should be bu2, e.g. 不怕
+ if char == "不" and i + 1 < len(word) and finals[i + 1][-1] == "4":
+ finals[i] = finals[i][:-1] + "2"
+ return finals
+
+ def _yi_sandhi(self, word: str, finals: List[str]) -> List[str]:
+ # "一" in number sequences, e.g. 一零零, 二一零
+ if word.find("一") != -1 and all(
+ [item.isnumeric() for item in word if item != "一"]
+ ):
+ return finals
+ # "一" between reduplication words should be yi5, e.g. 看一看
+ elif len(word) == 3 and word[1] == "一" and word[0] == word[-1]:
+ finals[1] = finals[1][:-1] + "5"
+ # when "一" is ordinal word, it should be yi1
+ elif word.startswith("第一"):
+ finals[1] = finals[1][:-1] + "1"
+ else:
+ for i, char in enumerate(word):
+ if char == "一" and i + 1 < len(word):
+ # "一" before tone4 should be yi2, e.g. 一段
+ if finals[i + 1][-1] == "4":
+ finals[i] = finals[i][:-1] + "2"
+ # "一" before non-tone4 should be yi4, e.g. 一天
+ else:
+ # "一" 后面如果是标点，还读一声
+ if word[i + 1] not in self.punc:
+ finals[i] = finals[i][:-1] + "4"
+ return finals
+
+ def _split_word(self, word: str) -> List[str]:
+ word_list = jieba.cut_for_search(word)
+ word_list = sorted(word_list, key=lambda i: len(i), reverse=False)
+ first_subword = word_list[0]
+ first_begin_idx = word.find(first_subword)
+ if first_begin_idx == 0:
+ second_subword = word[len(first_subword) :]
+ new_word_list = [first_subword, second_subword]
+ else:
+ second_subword = word[: -len(first_subword)]
+ new_word_list = [second_subword, first_subword]
+ return new_word_list
+
+ def _three_sandhi(self, word: str, finals: List[str]) -> List[str]:
+ if len(word) == 2 and self._all_tone_three(finals):
+ finals[0] = finals[0][:-1] + "2"
+ elif len(word) == 3:
+ word_list = self._split_word(word)
+ if self._all_tone_three(finals):
+ # disyllabic + monosyllabic, e.g. 蒙古/包
+ if len(word_list[0]) == 2:
+ finals[0] = finals[0][:-1] + "2"
+ finals[1] = finals[1][:-1] + "2"
+ # monosyllabic + disyllabic, e.g. 纸/老虎
+ elif len(word_list[0]) == 1:
+ finals[1] = finals[1][:-1] + "2"
+ else:
+ finals_list = [finals[: len(word_list[0])], finals[len(word_list[0]) :]]
+ if len(finals_list) == 2:
+ for i, sub in enumerate(finals_list):
+ # e.g. 所有/人
+ if self._all_tone_three(sub) and len(sub) == 2:
+ finals_list[i][0] = finals_list[i][0][:-1] + "2"
+ # e.g. 好/喜欢
+ elif (
+ i == 1
+ and not self._all_tone_three(sub)
+ and finals_list[i][0][-1] == "3"
+ and finals_list[0][-1][-1] == "3"
+ ):
+ finals_list[0][-1] = finals_list[0][-1][:-1] + "2"
+ finals = sum(finals_list, [])
+ # split idiom into two words who's length is 2
+ elif len(word) == 4:
+ finals_list = [finals[:2], finals[2:]]
+ finals = []
+ for sub in finals_list:
+ if self._all_tone_three(sub):
+ sub[0] = sub[0][:-1] + "2"
+ finals += sub
+
+ return finals
+
+ def _all_tone_three(self, finals: List[str]) -> bool:
+ return all(x[-1] == "3" for x in finals)
+
+ # merge "不" and the word behind it
+ # if don't merge, "不" sometimes appears alone according to jieba, which may occur sandhi error
+ def _merge_bu(self, seg: List[Tuple[str, str]]) -> List[Tuple[str, str]]:
+ new_seg = []
+ last_word = ""
+ for word, pos in seg:
+ if last_word == "不":
+ word = last_word + word
+ if word != "不":
+ new_seg.append((word, pos))
+ last_word = word[:]
+ if last_word == "不":
+ new_seg.append((last_word, "d"))
+ last_word = ""
+ return new_seg
+
+ # function 1: merge "一" and reduplication words in it's left and right, e.g. "听","一","听" ->"听一听"
+ # function 2: merge single "一" and the word behind it
+ # if don't merge, "一" sometimes appears alone according to jieba, which may occur sandhi error
+ # e.g.
+ # input seg: [('听', 'v'), ('一', 'm'), ('听', 'v')]
+ # output seg: [['听一听', 'v']]
+ def _merge_yi(self, seg: List[Tuple[str, str]]) -> List[Tuple[str, str]]:
+ new_seg = [] * len(seg)
+ # function 1
+ i = 0
+ while i < len(seg):
+ word, pos = seg[i]
+ if (
+ i - 1 >= 0
+ and word == "一"
+ and i + 1 < len(seg)
+ and seg[i - 1][0] == seg[i + 1][0]
+ and seg[i - 1][1] == "v"
+ ):
+ new_seg[i - 1][0] = new_seg[i - 1][0] + "一" + new_seg[i - 1][0]
+ i += 2
+ else:
+ if (
+ i - 2 >= 0
+ and seg[i - 1][0] == "一"
+ and seg[i - 2][0] == word
+ and pos == "v"
+ ):
+ continue
+ else:
+ new_seg.append([word, pos])
+ i += 1
+ seg = [i for i in new_seg if len(i) > 0]
+ new_seg = []
+ # function 2
+ for i, (word, pos) in enumerate(seg):
+ if new_seg and new_seg[-1][0] == "一":
+ new_seg[-1][0] = new_seg[-1][0] + word
+ else:
+ new_seg.append([word, pos])
+ return new_seg
+
+ # the first and the second words are all_tone_three
+ def _merge_continuous_three_tones(
+ self, seg: List[Tuple[str, str]]
+ ) -> List[Tuple[str, str]]:
+ new_seg = []
+ sub_finals_list = [
+ lazy_pinyin(word, neutral_tone_with_five=True, style=Style.FINALS_TONE3)
+ for (word, pos) in seg
+ ]
+ assert len(sub_finals_list) == len(seg)
+ merge_last = [False] * len(seg)
+ for i, (word, pos) in enumerate(seg):
+ if (
+ i - 1 >= 0
+ and self._all_tone_three(sub_finals_list[i - 1])
+ and self._all_tone_three(sub_finals_list[i])
+ and not merge_last[i - 1]
+ ):
+ # if the last word is reduplication, not merge, because reduplication need to be _neural_sandhi
+ if (
+ not self._is_reduplication(seg[i - 1][0])
+ and len(seg[i - 1][0]) + len(seg[i][0]) <= 3
+ ):
+ new_seg[-1][0] = new_seg[-1][0] + seg[i][0]
+ merge_last[i] = True
+ else:
+ new_seg.append([word, pos])
+ else:
+ new_seg.append([word, pos])
+
+ return new_seg
+
+ def _is_reduplication(self, word: str) -> bool:
+ return len(word) == 2 and word[0] == word[1]
+
+ # the last char of first word and the first char of second word is tone_three
+ def _merge_continuous_three_tones_2(
+ self, seg: List[Tuple[str, str]]
+ ) -> List[Tuple[str, str]]:
+ new_seg = []
+ sub_finals_list = [
+ lazy_pinyin(word, neutral_tone_with_five=True, style=Style.FINALS_TONE3)
+ for (word, pos) in seg
+ ]
+ assert len(sub_finals_list) == len(seg)
+ merge_last = [False] * len(seg)
+ for i, (word, pos) in enumerate(seg):
+ if (
+ i - 1 >= 0
+ and sub_finals_list[i - 1][-1][-1] == "3"
+ and sub_finals_list[i][0][-1] == "3"
+ and not merge_last[i - 1]
+ ):
+ # if the last word is reduplication, not merge, because reduplication need to be _neural_sandhi
+ if (
+ not self._is_reduplication(seg[i - 1][0])
+ and len(seg[i - 1][0]) + len(seg[i][0]) <= 3
+ ):
+ new_seg[-1][0] = new_seg[-1][0] + seg[i][0]
+ merge_last[i] = True
+ else:
+ new_seg.append([word, pos])
+ else:
+ new_seg.append([word, pos])
+ return new_seg
+
+ def _merge_er(self, seg: List[Tuple[str, str]]) -> List[Tuple[str, str]]:
+ new_seg = []
+ for i, (word, pos) in enumerate(seg):
+ if i - 1 >= 0 and word == "儿" and seg[i - 1][0] != "#":
+ new_seg[-1][0] = new_seg[-1][0] + seg[i][0]
+ else:
+ new_seg.append([word, pos])
+ return new_seg
+
+ def _merge_reduplication(self, seg: List[Tuple[str, str]]) -> List[Tuple[str, str]]:
+ new_seg = []
+ for i, (word, pos) in enumerate(seg):
+ if new_seg and word == new_seg[-1][0]:
+ new_seg[-1][0] = new_seg[-1][0] + seg[i][0]
+ else:
+ new_seg.append([word, pos])
+ return new_seg
+
+ def pre_merge_for_modify(self, seg: List[Tuple[str, str]]) -> List[Tuple[str, str]]:
+ seg = self._merge_bu(seg)
+ try:
+ seg = self._merge_yi(seg)
+ except:
+ print("_merge_yi failed")
+ seg = self._merge_reduplication(seg)
+ seg = self._merge_continuous_three_tones(seg)
+ seg = self._merge_continuous_three_tones_2(seg)
+ seg = self._merge_er(seg)
+ return seg
+
+ def modified_tone(self, word: str, pos: str, finals: List[str]) -> List[str]:
+ finals = self._bu_sandhi(word, finals)
+ finals = self._yi_sandhi(word, finals)
+ finals = self._neural_sandhi(word, pos, finals)
+ finals = self._three_sandhi(word, finals)
+ return finals
diff --git a/bert_vits2/transforms.py b/bert_vits2/transforms.py
new file mode 100644
index 0000000000000000000000000000000000000000..12dd72776a6b788932329da169155a289eb645bc
--- /dev/null
+++ b/bert_vits2/transforms.py
@@ -0,0 +1,192 @@
+import torch
+from torch.nn import functional as F
+
+import numpy as np
+
+DEFAULT_MIN_BIN_WIDTH = 1e-3
+DEFAULT_MIN_BIN_HEIGHT = 1e-3
+DEFAULT_MIN_DERIVATIVE = 1e-3
+
+
+def piecewise_rational_quadratic_transform(inputs,
+ unnormalized_widths,
+ unnormalized_heights,
+ unnormalized_derivatives,
+ inverse=False,
+ tails=None,
+ tail_bound=1.,
+ min_bin_width=DEFAULT_MIN_BIN_WIDTH,
+ min_bin_height=DEFAULT_MIN_BIN_HEIGHT,
+ min_derivative=DEFAULT_MIN_DERIVATIVE):
+ if tails is None:
+ spline_fn = rational_quadratic_spline
+ spline_kwargs = {}
+ else:
+ spline_fn = unconstrained_rational_quadratic_spline
+ spline_kwargs = {
+ 'tails': tails,
+ 'tail_bound': tail_bound
+ }
+
+ outputs, logabsdet = spline_fn(
+ inputs=inputs,
+ unnormalized_widths=unnormalized_widths,
+ unnormalized_heights=unnormalized_heights,
+ unnormalized_derivatives=unnormalized_derivatives,
+ inverse=inverse,
+ min_bin_width=min_bin_width,
+ min_bin_height=min_bin_height,
+ min_derivative=min_derivative,
+ **spline_kwargs
+ )
+ return outputs, logabsdet
+
+
+def searchsorted(bin_locations, inputs, eps=1e-6):
+ bin_locations[..., -1] += eps
+ return torch.sum(
+ inputs[..., None] >= bin_locations,
+ dim=-1
+ ) - 1
+
+
+def unconstrained_rational_quadratic_spline(inputs,
+ unnormalized_widths,
+ unnormalized_heights,
+ unnormalized_derivatives,
+ inverse=False,
+ tails='linear',
+ tail_bound=1.,
+ min_bin_width=DEFAULT_MIN_BIN_WIDTH,
+ min_bin_height=DEFAULT_MIN_BIN_HEIGHT,
+ min_derivative=DEFAULT_MIN_DERIVATIVE):
+ inside_interval_mask = (inputs >= -tail_bound) & (inputs <= tail_bound)
+ outside_interval_mask = ~inside_interval_mask
+
+ outputs = torch.zeros_like(inputs)
+ logabsdet = torch.zeros_like(inputs)
+
+ if tails == 'linear':
+ unnormalized_derivatives = F.pad(unnormalized_derivatives, pad=(1, 1))
+ constant = np.log(np.exp(1 - min_derivative) - 1)
+ unnormalized_derivatives[..., 0] = constant
+ unnormalized_derivatives[..., -1] = constant
+
+ outputs[outside_interval_mask] = inputs[outside_interval_mask]
+ logabsdet[outside_interval_mask] = 0
+ else:
+ raise RuntimeError('{} tails are not implemented.'.format(tails))
+
+ outputs[inside_interval_mask], logabsdet[inside_interval_mask] = rational_quadratic_spline(
+ inputs=inputs[inside_interval_mask],
+ unnormalized_widths=unnormalized_widths[inside_interval_mask, :],
+ unnormalized_heights=unnormalized_heights[inside_interval_mask, :],
+ unnormalized_derivatives=unnormalized_derivatives[inside_interval_mask, :],
+ inverse=inverse,
+ left=-tail_bound, right=tail_bound, bottom=-tail_bound, top=tail_bound,
+ min_bin_width=min_bin_width,
+ min_bin_height=min_bin_height,
+ min_derivative=min_derivative
+ )
+
+ return outputs, logabsdet
+
+
+def rational_quadratic_spline(inputs,
+ unnormalized_widths,
+ unnormalized_heights,
+ unnormalized_derivatives,
+ inverse=False,
+ left=0., right=1., bottom=0., top=1.,
+ min_bin_width=DEFAULT_MIN_BIN_WIDTH,
+ min_bin_height=DEFAULT_MIN_BIN_HEIGHT,
+ min_derivative=DEFAULT_MIN_DERIVATIVE):
+ if torch.min(inputs) < left or torch.max(inputs) > right:
+ raise ValueError('Input to a transform is not within its domain')
+
+ num_bins = unnormalized_widths.shape[-1]
+
+ if min_bin_width * num_bins > 1.0:
+ raise ValueError('Minimal bin width too large for the number of bins')
+ if min_bin_height * num_bins > 1.0:
+ raise ValueError('Minimal bin height too large for the number of bins')
+
+ widths = F.softmax(unnormalized_widths, dim=-1)
+ widths = min_bin_width + (1 - min_bin_width * num_bins) * widths
+ cumwidths = torch.cumsum(widths, dim=-1)
+ cumwidths = F.pad(cumwidths, pad=(1, 0), mode='constant', value=0.0)
+ cumwidths = (right - left) * cumwidths + left
+ cumwidths[..., 0] = left
+ cumwidths[..., -1] = right
+ widths = cumwidths[..., 1:] - cumwidths[..., :-1]
+
+ derivatives = min_derivative + F.softplus(unnormalized_derivatives)
+
+ heights = F.softmax(unnormalized_heights, dim=-1)
+ heights = min_bin_height + (1 - min_bin_height * num_bins) * heights
+ cumheights = torch.cumsum(heights, dim=-1)
+ cumheights = F.pad(cumheights, pad=(1, 0), mode='constant', value=0.0)
+ cumheights = (top - bottom) * cumheights + bottom
+ cumheights[..., 0] = bottom
+ cumheights[..., -1] = top
+ heights = cumheights[..., 1:] - cumheights[..., :-1]
+
+ if inverse:
+ bin_idx = searchsorted(cumheights, inputs)[..., None]
+ else:
+ bin_idx = searchsorted(cumwidths, inputs)[..., None]
+
+ input_cumwidths = cumwidths.gather(-1, bin_idx)[..., 0]
+ input_bin_widths = widths.gather(-1, bin_idx)[..., 0]
+
+ input_cumheights = cumheights.gather(-1, bin_idx)[..., 0]
+ delta = heights / widths
+ input_delta = delta.gather(-1, bin_idx)[..., 0]
+
+ input_derivatives = derivatives.gather(-1, bin_idx)[..., 0]
+ input_derivatives_plus_one = derivatives[..., 1:].gather(-1, bin_idx)[..., 0]
+
+ input_heights = heights.gather(-1, bin_idx)[..., 0]
+
+ if inverse:
+ a = (((inputs - input_cumheights) * (input_derivatives
+ + input_derivatives_plus_one
+ - 2 * input_delta)
+ + input_heights * (input_delta - input_derivatives)))
+ b = (input_heights * input_derivatives
+ - (inputs - input_cumheights) * (input_derivatives
+ + input_derivatives_plus_one
+ - 2 * input_delta))
+ c = - input_delta * (inputs - input_cumheights)
+
+ discriminant = b.pow(2) - 4 * a * c
+ assert (discriminant >= 0).all()
+
+ root = (2 * c) / (-b - torch.sqrt(discriminant))
+ outputs = root * input_bin_widths + input_cumwidths
+
+ theta_one_minus_theta = root * (1 - root)
+ denominator = input_delta + ((input_derivatives + input_derivatives_plus_one - 2 * input_delta)
+ * theta_one_minus_theta)
+ derivative_numerator = input_delta.pow(2) * (input_derivatives_plus_one * root.pow(2)
+ + 2 * input_delta * theta_one_minus_theta
+ + input_derivatives * (1 - root).pow(2))
+ logabsdet = torch.log(derivative_numerator) - 2 * torch.log(denominator)
+
+ return outputs, -logabsdet
+ else:
+ theta = (inputs - input_cumwidths) / input_bin_widths
+ theta_one_minus_theta = theta * (1 - theta)
+
+ numerator = input_heights * (input_delta * theta.pow(2)
+ + input_derivatives * theta_one_minus_theta)
+ denominator = input_delta + ((input_derivatives + input_derivatives_plus_one - 2 * input_delta)
+ * theta_one_minus_theta)
+ outputs = input_cumheights + numerator / denominator
+
+ derivative_numerator = input_delta.pow(2) * (input_derivatives_plus_one * theta.pow(2)
+ + 2 * input_delta * theta_one_minus_theta
+ + input_derivatives * (1 - theta).pow(2))
+ logabsdet = torch.log(derivative_numerator) - 2 * torch.log(denominator)
+
+ return outputs, logabsdet
diff --git a/bert_vits2/utils.py b/bert_vits2/utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..6d830a7cc737998ba66c6f1596db69c678b62e10
--- /dev/null
+++ b/bert_vits2/utils.py
@@ -0,0 +1,78 @@
+import os
+import sys
+import logging
+import torch
+
+from contants import config
+
+MATPLOTLIB_FLAG = False
+
+logging.basicConfig(stream=sys.stdout, level=logging.DEBUG)
+logger = logging
+
+
+def load_checkpoint(checkpoint_path, model, optimizer=None, skip_optimizer=False, version=None):
+ assert os.path.isfile(checkpoint_path)
+ checkpoint_dict = torch.load(checkpoint_path, map_location=config.system.device)
+ iteration = checkpoint_dict['iteration']
+ learning_rate = checkpoint_dict['learning_rate']
+ if optimizer is not None and not skip_optimizer and checkpoint_dict['optimizer'] is not None:
+ optimizer.load_state_dict(checkpoint_dict['optimizer'])
+ elif optimizer is None and not skip_optimizer:
+ # else: #Disable this line if Infer ,and enable the line upper
+ new_opt_dict = optimizer.state_dict()
+ new_opt_dict_params = new_opt_dict['param_groups'][0]['params']
+ new_opt_dict['param_groups'] = checkpoint_dict['optimizer']['param_groups']
+ new_opt_dict['param_groups'][0]['params'] = new_opt_dict_params
+ optimizer.load_state_dict(new_opt_dict)
+ saved_state_dict = checkpoint_dict['model']
+ if hasattr(model, 'module'):
+ state_dict = model.module.state_dict()
+ else:
+ state_dict = model.state_dict()
+ new_state_dict = {}
+ for k, v in state_dict.items():
+ try:
+ # assert "emb_g" not in k
+ # print("load", k)
+ new_state_dict[k] = saved_state_dict[k]
+ assert saved_state_dict[k].shape == v.shape, (saved_state_dict[k].shape, v.shape)
+ except:
+ # Handle legacy model versions and provide appropriate warnings
+ if "ja_bert_proj" in k:
+ v = torch.zeros_like(v)
+ if version is None:
+ logger.error(f"{k} is not in the checkpoint")
+ logger.warning(
+ f"If you're using an older version of the model, consider adding the \"version\" parameter to the model's config.json. For instance: \"version\": \"1.0.1\"")
+ elif "flow.flows.0.enc.attn_layers.3" in k:
+ logger.error(f"{k} is not in the checkpoint")
+ logger.warning(
+ f"If you're using a transitional version, please add the \"version\": \"1.1.0-transition\" parameter to the model's config.json. For instance: \"version\": \"1.1.0-transition\"")
+ elif "en_bert_proj" in k:
+ v = torch.zeros_like(v)
+ if version is None:
+ logger.error(f"{k} is not in the checkpoint")
+ logger.warning(
+ f"If you're using an older version of the model, consider adding the \"version\" parameter to the model's config.json. For instance: \"version\": \"1.1.1\"")
+ else:
+ logger.error(f"{k} is not in the checkpoint")
+
+ new_state_dict[k] = v
+ if hasattr(model, 'module'):
+ model.module.load_state_dict(new_state_dict, strict=False)
+ else:
+ model.load_state_dict(new_state_dict, strict=False)
+ # print("load ")
+ logger.info("Loaded checkpoint '{}' (iteration {})".format(
+ checkpoint_path, iteration))
+ return model, optimizer, learning_rate, iteration
+
+
+def process_legacy_versions(hps):
+ version = getattr(hps, "version", getattr(hps.data, "version", None))
+ if version:
+ prefix = version[0].lower()
+ if prefix == "v":
+ version = version[1:]
+ return version
diff --git a/config.py b/config.py
new file mode 100644
index 0000000000000000000000000000000000000000..45a6859f57e37c6d6d8f64a25a928d419bc2524c
--- /dev/null
+++ b/config.py
@@ -0,0 +1,488 @@
+"""
+在首次启动自动生成config.yaml文件后，对配置进行修改时，应该直接在config.yaml文件中进行，而不是在config.py文件中修改。
+
+初回の起動後にconfig.yamlが自動生成された場合、設定の変更はconfig.pyではなくconfig.yamlで行うべきです。
+
+After the initial launch that automatically generates the config.yaml file, any modifications to the configuration should be made directly in the config.yaml file, not in the config.py file.
+"""
+
+import copy
+import logging
+import os
+import secrets
+import shutil
+import string
+import sys
+import traceback
+from dataclasses import dataclass, field, asdict, fields, is_dataclass
+from typing import List, Union, Optional, Dict
+
+import torch
+import yaml
+
+JSON_AS_ASCII = False
+
+MAX_CONTENT_LENGTH = 5242880
+
+# Absolute path of vits-simple-api
+ABS_PATH = os.path.dirname(os.path.realpath(__file__))
+
+# WTForms CSRF
+SECRET_KEY = secrets.token_hex(16)
+
+"""
+模型存放在data/models文件夹下，每个文件夹包含一个模型文件和一个配置文件。请按照以下格式填写路径信息：
+{"model_path": "文件夹名/模型文件.pth", "config_path": "文件夹名/config.json"},
+注意：只有当auto_load（自动加载模型）为False时才有效。当auto_load为True（默认值）时，
+此处填写的模型路径具有最高优先级，将在每次启动时加载。如非必要，请尽量在config.yaml填写模型路径。
+
+Models are stored in the data/models folder, with each folder containing a model file and a configuration file.
+Please fill in the paths following the format: {"model_path": "folder_name/model_file.pth", "config_path": "folder_name/config.json"},
+Note: This is effective only when auto_load (automatic model loading) is set to False. When auto_load is True (default),
+the model paths specified here have the highest priority and will be loaded each time the program starts. If not necessary,
+it's recommended to specify model paths in config.yaml.
+"""
+
+model_list = [
+ # {"model_path": "model_name/G_9000.pth", "config_path": "model_name/config.json"},
+]
+
+
+@dataclass
+class AsDictMixin:
+ def asdict(self):
+ data = {}
+ for attr, value in vars(self).items():
+ if isinstance(value, AsDictMixin):
+ data[attr] = value.asdict()
+ elif isinstance(value, list):
+ data[attr] = []
+ for item in value:
+ data[attr].append(item.asdict())
+ elif isinstance(value, dict):
+ data[attr] = {}
+ for k, v in value.items():
+ data[attr].update({k: v.asdict()})
+ else:
+ data[attr] = value
+ return data
+
+ def __iter__(self):
+ for key, value in self.asdict().items():
+ yield key, value
+
+ def update_config(self, new_config_dict):
+ for field in fields(self):
+ field_name = field.name
+ field_type = field.type
+
+ if field_name in new_config_dict:
+ new_value = new_config_dict[field_name]
+ if is_dataclass(field_type):
+ if isinstance(new_value, list):
+ # If the field type is a dataclass and the new value is a list
+ # Convert each element of the list to the corresponding class object
+ new_value = [field_type(**item) for item in new_value]
+ setattr(self, field_name, new_value)
+ else:
+ # If the field type is a dataclass but not a list, recursively update the dataclass
+ nested_config = getattr(self, field_name)
+ nested_config.update_config(new_value)
+ setattr(self, field_name, nested_config)
+ else:
+ if field_type == bool:
+ new_value = str(new_value).lower() == "true"
+ elif field_type == int:
+ new_value = int(new_value)
+ elif field_type == float:
+ new_value = float(new_value)
+ elif field_type == str:
+ new_value = str(new_value)
+ elif field_type == torch.device:
+ new_value = torch.device(new_value)
+
+ setattr(self, field_name, new_value)
+
+
+@dataclass
+class VitsConfig(AsDictMixin):
+ # For VITS: Load models during inference, dynamically release models after inference.
+ dynamic_loading: bool = False
+ id: int = 0
+ format: str = "wav"
+ lang: str = "auto"
+ length: float = 1
+ noise: float = 0.33
+ noisew: float = 0.4
+ # Batch processing threshold. Text will not be processed in batches if segment_size<=0
+ segment_size: int = 50
+ use_streaming: bool = False
+
+
+@dataclass
+class W2V2VitsConfig(AsDictMixin):
+ id: int = 0
+ format: str = "wav"
+ lang: str = "auto"
+ length: float = 1
+ noise: float = 0.33
+ noisew: float = 0.4
+ # Batch processing threshold. Text will not be processed in batches if segment_size<=0
+ segment_size: int = 50
+ emotion: int = 0
+
+
+@dataclass
+class HuBertVitsConfig(AsDictMixin):
+ id: int = 0
+ format: str = "wav"
+ length: float = 1
+ noise: float = 0.33
+ noisew: float = 0.4
+
+
+@dataclass
+class BertVits2Config(AsDictMixin):
+ id: int = 0
+ format: str = "wav"
+ lang: str = "auto"
+ length: float = 1
+ noise: float = 0.33
+ noisew: float = 0.4
+ # Batch processing threshold. Text will not be processed in batches if segment_size<=0
+ segment_size: int = 50
+ sdp_ratio: float = 0.2
+ emotion: int = 0
+ text_prompt: str = "Happy"
+ style_text: str = None
+ style_weight: float = 0.7
+ use_streaming: bool = False
+ # Can be set to "float16"/"fp16".
+ torch_data_type: str = ""
+
+
+@dataclass
+class GPTSoVitsPreset(AsDictMixin):
+ refer_wav_path: str = None
+ prompt_text: str = None
+ prompt_lang: str = "auto"
+
+
+@dataclass
+class GPTSoVitsConfig(AsDictMixin):
+ hz: int = 50
+ is_half: bool = False
+ id: int = 0
+ lang: str = "auto"
+ format: str = "wav"
+ segment_size: int = 30
+ top_k: int = 5
+ top_p: float = 1.0
+ temperature: float = 1.0
+ use_streaming: bool = False
+ batch_size: int = 5
+ speed: float = 1.0
+ presets: Dict[str, GPTSoVitsPreset] = field(default_factory=lambda: {"default": GPTSoVitsPreset(),
+ "default2": GPTSoVitsPreset()})
+
+ def update_config(self, new_config_dict):
+ for field in fields(self):
+ field_name = field.name
+ field_type = field.type
+ if field_name in new_config_dict:
+ new_value = new_config_dict[field_name]
+ if is_dataclass(field_type):
+ if isinstance(new_value, list):
+ # If the field type is a dataclass and the new value is a list
+ # Convert each element of the list to the corresponding class object
+ new_value = [field_type(**item) for item in new_value]
+ setattr(self, field_name, new_value)
+ else:
+ # If the field type is a dataclass but not a list, recursively update the dataclass
+ nested_config = getattr(self, field_name)
+ nested_config.update_config(new_value)
+ else:
+ if field_type == Dict[str, GPTSoVitsPreset]:
+ new_dict = {}
+
+ for k, v in new_value.items():
+ refer_wav_path = v.get("refer_wav_path")
+ prompt_text = v.get("prompt_text")
+ prompt_lang = v.get("prompt_lang")
+ new_dict.update({k: GPTSoVitsPreset(refer_wav_path, prompt_text, prompt_lang)})
+ new_value = new_dict
+
+ elif field_type == bool:
+ new_value = str(new_value).lower() == "true"
+ elif field_type == int:
+ new_value = int(new_value)
+ elif field_type == float:
+ new_value = float(new_value)
+ elif field_type == str:
+ new_value = str(new_value)
+ elif field_type == torch.device:
+ new_value = torch.device(new_value)
+
+ setattr(self, field_name, new_value)
+
+
+@dataclass
+class Reader(AsDictMixin):
+ model_type: str = "VITS"
+ id: int = 0
+ preset: str = "default"
+
+
+@dataclass
+class ReadingConfig(AsDictMixin):
+ interlocutor: Reader = Reader()
+ narrator: Reader = Reader()
+
+
+@dataclass
+class ModelConfig(AsDictMixin):
+ chinese_roberta_wwm_ext_large: str = "bert/chinese-roberta-wwm-ext-large"
+ bert_base_japanese_v3: str = "bert/bert-base-japanese-v3"
+ bert_large_japanese_v2: str = "bert/bert-large-japanese-v2"
+ deberta_v2_large_japanese: str = "bert/deberta-v2-large-japanese"
+ deberta_v3_large: str = "bert/deberta-v3-large"
+ deberta_v2_large_japanese_char_wwm: str = "bert/deberta-v2-large-japanese-char-wwm"
+ wav2vec2_large_robust_12_ft_emotion_msp_dim: str = "emotional/wav2vec2-large-robust-12-ft-emotion-msp-dim"
+ clap_htsat_fused: str = "emotional/clap-htsat-fused"
+ erlangshen_MegatronBert_1_3B_Chinese: str = "bert/Erlangshen-MegatronBert-1.3B-Chinese"
+ vits_chinese_bert: str = "bert/vits_chinese_bert"
+ # hubert-vits
+ hubert_soft_0d54a1f4: str = "hubert/hubert_soft/hubert-soft-0d54a1f4.pt"
+ # w2v2-vits: .npy file or folder are alvailable
+ dimensional_emotion_npy: Union[str, List[str]] = "emotional/dimensional_emotion_npy"
+ # w2v2-vits: Need to have both `models.onnx` and `models.yaml` files in the same path.
+ dimensional_emotion_model: str = "emotional/dimensional_emotion_model/models.yaml"
+ g2pw_model: str = "G2PWModel"
+ chinese_hubert_base: str = "hubert/chinese_hubert_base"
+
+
+@dataclass
+class TTSModelConfig(AsDictMixin):
+ model_path: Optional[str] = None
+ config_path: Optional[str] = None
+ sovits_path: Optional[str] = None
+ gpt_path: Optional[str] = None
+
+ def asdict(self):
+ data = {}
+ for attr, value in vars(self).items():
+ if value is not None:
+ data[attr] = value
+ return data
+
+
+@dataclass
+class TTSConfig(AsDictMixin):
+ # Directory name for models under the data folder
+ models_path: str = "models"
+ # If set to True (default), models under the specified models_path will be automatically loaded.
+ # When set to False, you can manually specify the models to load.
+ auto_load: bool = True
+ # List to store configurations of Text-to-Speech models
+ models: List[TTSModelConfig] = field(default_factory=list)
+
+ def asdict(self):
+ data = {}
+ for attr, value in vars(self).items():
+ if isinstance(value, list):
+ data[attr] = []
+ for item in value:
+ data[attr].append(item.asdict())
+ else:
+ data[attr] = value
+ return data
+
+ def update_config(self, new_config_dict):
+ for field in fields(self):
+ field_name = field.name
+ field_type = field.type
+
+ if field_name in new_config_dict:
+ new_value = new_config_dict[field_name]
+
+ if is_dataclass(field_type):
+ nested_config = getattr(self, field_name)
+ nested_config.update_config(new_value)
+ else:
+ if field_type == bool:
+ new_value = str(new_value).lower() == "true"
+ elif field_type == int:
+ new_value = int(new_value)
+ elif field_type == float:
+ new_value = float(new_value)
+ elif field_type == str:
+ new_value = str(new_value)
+ elif field_type == torch.device:
+ new_value = torch.device(new_value)
+ elif field_type == List[TTSModelConfig]:
+ new_value = [TTSModelConfig(model.get("model_path"),
+ model.get("config_path"),
+ model.get("sovits_path"),
+ model.get("gpt_path")) for model in
+ new_value]
+
+ setattr(self, field_name, new_value)
+
+
+@dataclass
+class HttpService(AsDictMixin):
+ host: str = "0.0.0.0"
+ port: int = 23456
+ debug: bool = False
+
+
+@dataclass
+class LogConfig(AsDictMixin):
+ # Logs path
+ logs_path: str = "logs"
+ # Set the number of backup log files to keep.
+ logs_backupcount: int = 30
+ # logging_level:DEBUG/INFO/WARNING/ERROR/CRITICAL
+ logging_level: str = "DEBUG"
+
+
+@dataclass
+class System(AsDictMixin):
+ device: torch.device = torch.device(
+ "cuda" if torch.cuda.is_available() else "mps" if torch.backends.mps.is_available() else "cpu")
+ # Upload path
+ upload_folder: str = "upload"
+ # Cahce path
+ cache_path: str = "cache"
+ # If CLEAN_INTERVAL_SECONDS <= 0, the cleaning task will not be executed.
+ clean_interval_seconds: int = 3600
+ # save audio to CACHE_PATH
+ cache_audio: bool = False
+ # Set to True to enable API Key authentication
+ api_key_enabled: bool = False
+ # API_KEY is required for authentication
+ api_key: str = ''.join(secrets.choice(string.ascii_letters + string.digits) for _ in range(24))
+ # Control whether to enable the admin backend functionality. Set to False to disable the admin backend.
+ is_admin_enabled: bool = True
+ # Define the route for the admin backend. You can change this to your desired route
+ admin_route: str = '/admin'
+ # Path to the 'data' folder, where various models are stored
+ data_path: str = "data"
+
+ def asdict(self):
+ data = {}
+ for attr, value in vars(self).items():
+ if attr == "device":
+ data[attr] = str(value)
+ else:
+ data[attr] = value
+ return data
+
+
+@dataclass
+class LanguageIdentification(AsDictMixin):
+ # Language identification library. Optional fastlid, langid
+ language_identification_library: str = "langid"
+ # To use the english_cleaner, you need to install espeak and provide the path of libespeak-ng.dll as input here.
+ # If ESPEAK_LIBRARY is set to empty, it will be read from the environment variable.
+ # For windows : "C:/Program Files/eSpeak NG/libespeak-ng.dll"
+ espeak_library: str = r"C:/Program Files/eSpeak NG/libespeak-ng.dll" if "win" in sys.platform else ""
+ # zh ja ko en... If it is empty, it will be read based on the text_cleaners specified in the config.json.
+ language_automatic_detect: list = field(default_factory=list)
+
+
+@dataclass
+class User(AsDictMixin):
+ id: int = 0
+ username: str = ''.join(secrets.choice(string.ascii_letters + string.digits) for _ in range(8))
+ password: str = ''.join(secrets.choice(string.ascii_letters + string.digits) for _ in range(16))
+
+ def is_authenticated(self):
+ return True
+
+ def is_active(self):
+ return True
+
+ def is_anonymous(self):
+ return False
+
+ def get_id(self):
+ return str(self.id)
+
+
+@dataclass
+class Config(AsDictMixin):
+ abs_path: str = ABS_PATH
+ http_service: HttpService = HttpService()
+ model_config: ModelConfig = ModelConfig()
+ tts_config: TTSConfig = TTSConfig()
+ admin: User = User()
+ system: System = System()
+ log_config: LogConfig = LogConfig()
+ language_identification: LanguageIdentification = LanguageIdentification()
+ reading_config: ReadingConfig = ReadingConfig()
+ vits_config: VitsConfig = VitsConfig()
+ w2v2_vits_config: W2V2VitsConfig = W2V2VitsConfig()
+ hubert_vits_config: HuBertVitsConfig = HuBertVitsConfig()
+ bert_vits2_config: BertVits2Config = BertVits2Config()
+ gpt_sovits_config: GPTSoVitsConfig = GPTSoVitsConfig()
+
+ def asdict(self):
+ data = {}
+ for attr, value in vars(self).items():
+ if isinstance(value, AsDictMixin):
+ data[attr] = value.asdict()
+ else:
+ data[attr] = value
+ return data
+
+ @staticmethod
+ def load_config():
+ logging.getLogger().setLevel(logging.INFO)
+ config_path = os.path.join(Config.abs_path, "config.yaml")
+ if not os.path.exists(config_path) or not os.path.isfile(config_path):
+ logging.info("config.yaml not found. Generating a new config.yaml based on config.py.")
+ config = Config()
+
+ # 初始化管理员账号密码
+ logging.info(
+ f"New admin user created:\n"
+ f"{'-' * 40}\n"
+ f"| Username: {config.admin.username:<26} |\n"
+ f"| Password: {config.admin.password:<26} |\n"
+ f"{'-' * 40}\n"
+ f"Please do not share this information.")
+ Config.save_config(config)
+
+ return config
+ else:
+ try:
+ logging.info("Loading config...")
+ with open(config_path, 'r', encoding='utf-8') as f:
+ loaded_config = yaml.safe_load(f)
+ config = Config()
+
+ if loaded_config is not None:
+ config.update_config(loaded_config)
+ logging.info("Loading config success!")
+ else:
+ logging.info("config.yaml is empty, initializing config.yaml...")
+
+ # Load default models from config.py.
+ # config.update_config(model_list)
+
+ # If parameters are incomplete, they will be automatically filled in upon saving.
+ Config.save_config(config)
+
+ return config
+ except Exception as e:
+ logging.error(traceback.print_exc())
+ ValueError(e)
+
+ @staticmethod
+ def save_config(config):
+ temp_filename = os.path.join(Config.abs_path, "config.yaml.tmp")
+ with open(temp_filename, 'w', encoding='utf-8') as f:
+ yaml.dump(config.asdict(), f, allow_unicode=True, default_style='', sort_keys=False)
+ shutil.move(temp_filename, os.path.join(Config.abs_path, "config.yaml"))
+ logging.info(f"Config is saved.")
diff --git a/contants.py b/contants.py
new file mode 100644
index 0000000000000000000000000000000000000000..6d444fad1b02c99c477c2c337cce03f765cc219a
--- /dev/null
+++ b/contants.py
@@ -0,0 +1,11 @@
+from enum import Enum
+from config import Config
+
+config = Config.load_config()
+
+class ModelType(Enum):
+ VITS = "VITS"
+ HUBERT_VITS = "HUBERT-VITS"
+ W2V2_VITS = "W2V2-VITS"
+ BERT_VITS2 = "BERT-VITS2"
+ GPT_SOVITS = "GPT-SOVITS"
diff --git a/data/G2PWModel/MONOPHONIC_CHARS.txt b/data/G2PWModel/MONOPHONIC_CHARS.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0078464f8690b46ab0021750aafa4bfb845654e8
--- /dev/null
+++ b/data/G2PWModel/MONOPHONIC_CHARS.txt
@@ -0,0 +1,9474 @@
+不 ㄅㄨ4
+七 ㄑㄧ1
+丈 ㄓㄤ4
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+丑 ㄔㄡ3
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diff --git a/data/G2PWModel/POLYPHONIC_CHARS.txt b/data/G2PWModel/POLYPHONIC_CHARS.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8f81544ff792a8e50270787955eea5c3d2af2045
--- /dev/null
+++ b/data/G2PWModel/POLYPHONIC_CHARS.txt
@@ -0,0 +1,8021 @@
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diff --git a/data/G2PWModel/bopomofo_to_pinyin_wo_tune_dict.json b/data/G2PWModel/bopomofo_to_pinyin_wo_tune_dict.json
new file mode 100644
index 0000000000000000000000000000000000000000..a451a74686761e9e85501883385a2abba929d14e
--- /dev/null
+++ b/data/G2PWModel/bopomofo_to_pinyin_wo_tune_dict.json
@@ -0,0 +1 @@
+{"ㄌㄧㄥ": "ling", "ㄩㄢ": "yuan", "ㄒㄧㄥ": "xing", "ㄑㄧㄡ": "qiu", "ㄊㄧㄢ": "tian", "ㄎㄨㄚ": "kua", "ㄨ": "wu", "ㄧㄣ": "yin", "ㄧ": "yi", "ㄒㄧㄝ": "xie", "ㄔㄡ": "chou", "ㄋㄨㄛ": "nuo", "ㄉㄢ": "dan", "ㄒㄩ": "xu", "ㄒㄩㄥ": "xiong", "ㄌㄧㄡ": "liu", "ㄌㄧㄣ": "lin", "ㄒㄧㄤ": "xiang", "ㄩㄥ": "yong", "ㄒㄧㄣ": "xin", "ㄓㄣ": "zhen", "ㄉㄞ": "dai", "ㄆㄢ": "pan", "ㄖㄨ": "ru", "ㄇㄚ": "ma", "ㄑㄧㄢ": "qian", "ㄘ": "ci", "ㄓㄨㄥ": "zhong", "ㄋㄟ": "nei", "ㄔㄥ": "cheng", "ㄈㄥ": "feng", "ㄓㄨㄛ": "zhuo", "ㄈㄤ": "fang", "ㄠ": "ao", "ㄗㄨㄛ": "zuo", "ㄓㄡ": "zhou", "ㄉㄨㄥ": "dong", "ㄙㄨ": "su", "ㄑㄩㄥ": "qiong", "ㄎㄨㄤ": "kuang", "ㄨㄤ": "wang", "ㄌㄟ": "lei", "ㄋㄠ": "nao", "ㄓㄨ": "zhu", "ㄕㄨ": "shu", "ㄕㄣ": "shen", "ㄐㄧㄝ": "jie", "ㄉㄧㄝ": "die", "ㄔ": "chi", "ㄌㄨㄥ": "long", "ㄧㄥ": "ying", "ㄅㄥ": "beng", "ㄌㄢ": "lan", "ㄇㄧㄠ": "miao", "ㄌㄧ": "li", "ㄐㄧ": "ji", "ㄩ": "yu", "ㄌㄨㄛ": "luo", "ㄔㄞ": "chai", "ㄏㄨㄣ": "hun", "ㄏㄨㄟ": "hui", "ㄖㄠ": "rao", "ㄏㄢ": "han", "ㄒㄧ": "xi", "ㄊㄞ": "tai", "ㄧㄠ": "yao", "ㄐㄩㄣ": "jun", "ㄌㄩㄝ": "lve", "ㄊㄤ": "tang", "ㄓㄠ": "zhao", "ㄓㄞ": "zhai", "ㄓㄚ": "zha", "ㄦ": "er", "ㄖㄢ": "ran", "ㄑㄧ": "qi", "ㄙㄜ": "se", "ㄙ": "si", "ㄙㄚ": "sa", "ㄎㄨㄟ": "kui", "ㄆㄨ": "pu", "ㄊㄚ": "ta", "ㄉㄨ": "du", "ㄊㄨ": "tu", "ㄧㄤ": "yang", "ㄡ": "ou", "ㄇㄧㄢ": "mian", "ㄨㄣ": "wen", "ㄉㄧㄠ": "diao", "ㄇㄧㄝ": "mie", "ㄨㄚ": "wa", "ㄋㄧㄠ": "niao", "ㄧㄡ": "you", "ㄔㄜ": "che", "ㄑㄩㄢ": "quan", "ㄘㄞ": "cai", "ㄌㄧㄤ": "liang", "ㄍㄨ": "gu", "ㄇㄠ": "mao", "ㄍㄨㄚ": "gua", "ㄙㄨㄟ": "sui", "ㄇㄢ": "man", "ㄕ": "shi", "ㄎㄡ": "kou", "ㄊㄧㄥ": "ting", "ㄅㄧㄥ": "bing", "ㄏㄨㄛ": "huo", "ㄍㄨㄥ": "gong", "ㄑㄧㄣ": "qin", "ㄐㄩㄥ": "jiong", "ㄌㄨ": "lu", "ㄋㄢ": "nan", "ㄅㄧ": "bi", "ㄑㄧㄚ": "qia", "ㄆㄧ": "pi", "ㄉㄧㄢ": "dian", "ㄈㄨ": "fu", "ㄍㄜ": "ge", "ㄅㄞ": "bai", "ㄍㄢ": "gan", "ㄒㄩㄢ": "xuan", "ㄌㄤ": "lang", "ㄕㄜ": "she", "ㄏㄨㄚ": "hua", "ㄊㄡ": "tou", "ㄆㄧㄢ": "pian", "ㄉㄧ": "di", "ㄖㄨㄢ": "ruan", "ㄜ": "e", "ㄑㄧㄝ": "qie", "ㄉㄡ": "dou", "ㄖㄨㄟ": "rui", "ㄘㄨㄟ": "cui", "ㄐㄧㄢ": "jian", "ㄔㄨㄥ": "chong", "ㄉㄥ": "deng", "ㄐㄩㄝ": "jue", "ㄒㄩㄝ": "xue", "ㄒㄧㄠ": "xiao", "ㄗㄢ": "zan", "ㄓㄢ": "zhan", "ㄗㄡ": "zou", "ㄘㄡ": "cou", "ㄔㄨㄚ": "chua", "ㄈㄟ": "fei", "ㄅㄟ": "bei", "ㄔㄨ": "chu", "ㄅㄚ": "ba", "ㄎㄨㄞ": "kuai", "ㄒㄧㄚ": "xia", "ㄏㄜ": "he", "ㄅㄧㄝ": "bie", "ㄌㄩ": "lv", "ㄙㄨㄢ": "suan", "ㄏㄥ": "heng", "ㄍㄨㄟ": "gui", "ㄌㄡ": "lou", "ㄊㄧ": "ti", "ㄌㄜ": "le", "ㄙㄨㄣ": "sun", "ㄒㄧㄢ": "xian", "ㄑㄩㄝ": "que", "ㄓ": "zhi", "ㄐㄧㄚ": "jia", "ㄏㄨ": "hu", "ㄌㄚ": "la", "ㄎㄜ": "ke", "ㄞ": "ai", "ㄨㄟ": "wei", "ㄏㄨㄢ": "huan", "ㄕㄨㄚ": "shua", "ㄕㄨㄤ": "shuang", "ㄍㄞ": "gai", "ㄏㄞ": "hai", "ㄧㄢ": "yan", "ㄈㄢ": "fan", "ㄆㄤ": "pang", "ㄙㄨㄥ": "song", "ㄋㄜ": "ne", "ㄔㄣ": "chen", "ㄍㄨㄛ": "guo", "ㄣ": "en", "ㄋㄍ": "ng", "ㄆㄚ": "pa", "ㄈㄚ": "fa", "ㄆㄡ": "pou", "ㄏㄡ": "hou", "ㄑㄩ": "qu", "ㄒㄩㄣ": "xun", "ㄋㄧㄝ": "nie", "ㄏㄨㄥ": "hong", "ㄊㄨㄣ": "tun", "ㄨㄞ": "wai", "ㄕㄡ": "shou", "ㄧㄝ": "ye", "ㄐㄩ": "ju", "ㄙㄡ": "sou", "ㄌㄨㄣ": "lun", "ㄋㄧㄚ": "nia", "ㄆㄣ": "pen", "ㄈㄣ": "fen", "ㄔㄨㄣ": "chun", "ㄋㄧㄡ": "niu", "ㄖㄡ": "rou", "ㄉㄨㄛ": "duo", "ㄗㄜ": "ze", "ㄕㄥ": "sheng", "ㄎㄨ": "ku", "ㄧㄚ": "ya", "ㄓㄨㄟ": "zhui", "ㄍㄡ": "gou", "ㄅㄛ": "bo", "ㄋㄚ": "na", "ㄒㄧㄡ": "xiu", "ㄘㄨ": "cu", "ㄎㄨㄛ": "kuo", "ㄌㄠ": "lao", "ㄘㄨㄥ": "cong", "ㄉㄚ": "da", "ㄆㄛ": "po", "ㄙㄞ": "sai", "ㄌㄥ": "leng", "ㄖㄨㄥ": "rong", "ㄋㄧ": "ni", "ㄆㄠ": "pao", "ㄎㄢ": "kan", "ㄨㄥ": "weng", "ㄨㄢ": "wan", "ㄏㄠ": "hao", "ㄐㄧㄥ": "jing", "ㄊㄢ": "tan", "ㄅㄨ": "bu", "ㄗㄤ": "zang", "ㄐㄧㄡ": "jiu", "ㄇㄟ": "mei", "ㄇㄨ": "mu", "ㄉㄨㄟ": "dui", "ㄅㄤ": "bang", "ㄅㄠ": "bao", "ㄔㄤ": "chang", "ㄓㄤ": "zhang", "ㄗㄨㄥ": "zong", "ㄍㄨㄣ": "gun", "ㄌㄧㄠ": "liao", "ㄔㄢ": "chan", "ㄓㄜ": "zhe", "ㄇㄥ": "meng", "ㄑㄧㄠ": "qiao", "ㄋㄤ": "nang", "ㄩㄣ": "yun", "ㄎㄞ": "kai", "ㄍㄠ": "gao", "ㄊㄠ": "tao", "ㄕㄢ": "shan", "ㄌㄞ": "lai", "ㄅㄢ": "ban", "ㄎㄨㄥ": "kong", "ㄔㄨㄛ": "chuo", "ㄋㄨ": "nu", "ㄆㄟ": "pei", "ㄆㄥ": "peng", "ㄘㄢ": "can", "ㄙㄨㄛ": "suo", "ㄊㄨㄥ": "tong", "ㄑㄧㄤ": "qiang", "ㄙㄠ": "sao", "ㄓㄨㄢ": "zhuan", "ㄢ": "an", "ㄔㄚ": "cha", "ㄕㄚ": "sha", "ㄌㄧㄢ": "lian", "ㄇㄧ": "mi", "ㄋㄡ": "nou", "ㄘㄠ": "cao", "ㄙㄣ": "sen", "ㄋㄣ": "nen", "ㄋㄧㄢ": "nian", "ㄇㄞ": "mai", "ㄩㄝ": "yue", "ㄋㄞ": "nai", "ㄏㄨㄞ": "huai", "ㄗ": "zi", "ㄌㄨㄢ": "luan", "ㄉㄧㄥ": "ding", "ㄇㄤ": "mang", "ㄋㄧㄥ": "ning", "ㄇㄧㄥ": "ming", "ㄗㄨㄟ": "zui", "ㄎㄤ": "kang", "ㄉㄜ": "de", "ㄅㄧㄢ": "bian", "ㄐㄧㄣ": "jin", "ㄔㄨㄟ": "chui", "ㄊㄨㄟ": "tui", "ㄗㄚ": "za", "ㄘㄣ": "cen", "ㄇㄧㄣ": "min", "ㄏㄨㄤ": "huang", "ㄗㄨ": "zu", "ㄘㄨㄛ": "cuo", "ㄊㄨㄛ": "tuo", "ㄑㄩㄣ": "qun", "ㄅㄧㄣ": "bin", "ㄊㄧㄠ": "tiao", "ㄍㄤ": "gang", "ㄉㄨㄢ": "duan", "ㄅㄧㄠ": "biao", "ㄉㄠ": "dao", "ㄖㄨㄣ": "run", "ㄐㄧㄠ": "jiao", "ㄨㄛ": "wo", "ㄘㄨㄢ": "cuan", "ㄖㄣ": "ren", "ㄇㄣ": "men", "ㄓㄨㄣ": "zhun", "ㄎㄨㄣ": "kun", "ㄔㄨㄤ": "chuang", "ㄗㄠ": "zao", "ㄓㄥ": "zheng", "ㄆㄧㄣ": "pin", "ㄅㄣ": "ben", "ㄐㄧㄤ": "jiang", "ㄐㄩㄢ": "juan", "ㄘㄥ": "ceng", "ㄏㄤ": "hang", "ㄋㄧㄣ": "nin", "ㄌㄧㄝ": "lie", "ㄍㄨㄤ": "guang", "ㄙㄢ": "san", "ㄊㄜ": "te", "ㄕㄨㄣ": "shun", "ㄕㄨㄟ": "shui", "ㄔㄠ": "chao", "ㄘㄜ": "ce", "ㄍㄨㄞ": "guai", "ㄎㄥ": "keng", "ㄕㄞ": "shai", "ㄉㄣ": "den", "ㄊㄨㄢ": "tuan", "ㄆㄧㄠ": "piao", "ㄑㄧㄥ": "qing", "ㄍㄥ": "geng", "ㄔㄨㄞ": "chuai", "ㄕㄠ": "shao", "ㄍㄣ": "gen", "ㄋㄨㄢ": "nuan", "ㄖㄥ": "reng", "ㄇㄡ": "mou", "ㄆㄞ": "pai", "ㄤ": "ang", "ㄎㄚ": "ka", "ㄍㄨㄢ": "guan", "ㄕㄨㄛ": "shuo", "ㄏㄣ": "hen", "ㄔㄨㄢ": "chuan", "ㄎㄨㄢ": "kuan", "ㄏㄟ": "hei", "ㄇㄛ": "mo", "ㄗㄞ": "zai", "ㄋㄥ": "neng", "ㄕㄨㄞ": "shuai", "ㄖㄜ": "re", "ㄋㄩ": "nv", "ㄆㄧㄥ": "ping", "ㄘㄤ": "cang", "ㄋㄨㄥ": "nong", "ㄎㄠ": "kao", "ㄗㄨㄢ": "zuan", "ㄎㄣ": "ken", "ㄍㄚ": "ga", "ㄗㄣ": "zen", "ㄉㄤ": "dang", "ㄗㄥ": "zeng", "ㄉㄨㄣ": "dun", "ㄘㄚ": "ca", "ㄖㄤ": "rang", "ㄘㄨㄣ": "cun", "ㄖㄨㄛ": "ruo", "ㄊㄧㄝ": "tie", "ㄊㄥ": "teng", "ㄙㄥ": "seng", "ㄖ": "ri", "ㄗㄨㄣ": "zun", "ㄋㄧㄤ": "niang", "ㄋㄩㄝ": "nve", "ㄙㄤ": "sang", "ㄓㄨㄤ": "zhuang", "ㄕㄤ": "shang", "ㄆㄧㄝ": "pie", "ㄕㄨㄢ": "shuan", "ㄈㄡ": "fou", "ㄉㄧㄡ": "diu", "ㄇㄜ": "me", "ㄈㄛ": "fo", "ㄌㄧㄚ": "lia", "ㄎㄟ": "kei", "ㄏㄚ": "ha", "ㄚ": "a", "ㄌㄛ": "lo", "ㄧㄛ": "yo", "ㄛ": "o", "ㄏㄋㄍ": "hng", "ㄋ": "n", "ㄌㄣ": "len", "ㄉㄧㄚ": "dia", "ㄇㄧㄡ": "miu", "ㄉㄟ": "dei", "ㄏㄇ": "hm", "ㄋㄨㄣ": "nun", "ㄓㄨㄞ": "zhuai", "ㄊㄟ": "tei", "ㄗㄟ": "zei", "ㄓㄨㄚ": "zhua", "ㄖㄨㄚ": "rua", "ê": "ê", "ㄟ": "ei", "ㄍㄟ": "gei", "ㄈㄧㄠ": "fiao", "ㄕㄟ": "shei", "ㄓㄟ": "zhei", "ㄥ": "eng", "ㄘㄟ": "cei", "ㄉㄧㄣ": "din", "ㄅㄧㄤ": "biang", "ㄧㄞ": "yai"}
diff --git a/data/G2PWModel/char_bopomofo_dict.json b/data/G2PWModel/char_bopomofo_dict.json
new file mode 100644
index 0000000000000000000000000000000000000000..998febb6dd9e8d8faf62e5f985b40b2dbbe772d3
--- /dev/null
+++ b/data/G2PWModel/char_bopomofo_dict.json
@@ -0,0 +1,136008 @@
+{
+ "〇": [
+ "ㄌㄧㄥ2",
+ "ㄩㄢ2",
+ "ㄒㄧㄥ1"
+ ],
+ "㐀": [
+ "ㄑㄧㄡ1"
+ ],
+ "㐁": [
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+ ],
+ "㐄": [
+ "ㄎㄨㄚ4"
+ ],
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+ "ㄨ3"
+ ],
+ "㐆": [
+ "ㄧㄣ3"
+ ],
+ "㐌": [
+ "ㄧ2"
+ ],
+ "㐖": [
+ "ㄒㄧㄝ2"
+ ],
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+ "ㄔㄡ2"
+ ],
+ "㐡": [
+ "ㄋㄨㄛ4"
+ ],
+ "㐤": [
+ "ㄉㄢ1",
+ "ㄑㄧㄡ2"
+ ],
+ "㐨": [
+ "ㄒㄩ4"
+ ],
+ "㐩": [
+ "ㄒㄧㄥ2"
+ ],
+ "㐫": [
+ "ㄒㄩㄥ1"
+ ],
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+ "ㄌㄧㄡ2"
+ ],
+ "㐭": [
+ "ㄌㄧㄣ3"
+ ],
+ "㐮": [
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+ ],
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+ "ㄩㄥ1"
+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄖㄨ2"
+ ],
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+ ],
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+ "ㄘ4"
+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄨㄤ1"
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄧ4",
+ "ㄔ4"
+ ],
+ "㑝": [
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄓㄨ1"
+ ],
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+ ],
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+ ],
+ "㑹": [
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄓㄚ3"
+ ],
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+ ],
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+ ],
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+ "ㄏㄨㄟ4"
+ ],
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+ "ㄆㄨ2"
+ ],
+ "㒓": [
+ "ㄊㄚ4"
+ ],
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+ "ㄕㄨ2",
+ "ㄉㄨ2",
+ "ㄊㄨ4"
+ ],
+ "㒕": [
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+ "ㄧㄚ5"
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+ "㗔": [
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+ ],
+ "㗕": [
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+ "ㄓㄡ1"
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+ "㗜": [
+ "ㄒㄧㄡ4"
+ ],
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+ "ㄉㄨㄥ4",
+ "ㄏㄨㄥ4"
+ ],
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+ "ㄊㄧ4"
+ ],
+ "㗤": [
+ "ㄘㄨ4"
+ ],
+ "㗥": [
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+ "ㄍㄨㄛ1"
+ ],
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+ "ㄌㄠ2"
+ ],
+ "㗧": [
+ "ㄓ4",
+ "ㄉㄧㄝ2"
+ ],
+ "㗨": [
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+ "ㄞ3"
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+ "㗩": [
+ "ㄒㄧ1"
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+ "㗫": [
+ "ㄑㄧㄝ4"
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+ ],
+ "㗱": [
+ "ㄐㄧ2"
+ ],
+ "㗲": [
+ "ㄏㄨㄛ4"
+ ],
+ "㗳": [
+ "ㄊㄚ3",
+ "ㄉㄚ1"
+ ],
+ "㗴": [
+ "ㄧㄢ2"
+ ],
+ "㗵": [
+ "ㄒㄩ4"
+ ],
+ "㗶": [
+ "ㄆㄛ1"
+ ],
+ "㗷": [
+ "ㄙㄞ3"
+ ],
+ "㗻": [
+ "ㄍㄨㄛ1"
+ ],
+ "㗼": [
+ "ㄧㄝ4"
+ ],
+ "㗽": [
+ "ㄒㄧㄤ3"
+ ],
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+ "ㄅㄢ1"
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+ "㢗": [
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+ "ㄅㄚ2"
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+ ],
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+ "ㄅㄥ1"
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+ "ㄧㄚ4",
+ "ㄑㄧㄚ1"
+ ],
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+ "ㄍㄤ1"
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+ "ㄜ4"
+ ],
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+ "ㄓ3"
+ ],
+ "㧘": [
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+ ],
+ "㧙": [
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+ "ㄅㄧㄝ2"
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+ "ㄨㄚ3"
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+ "㧜": [
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+ "㧟": [
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+ "ㄏㄞ4",
+ "ㄨㄟ4"
+ ],
+ "㧢": [
+ "ㄧㄣ1"
+ ],
+ "㧣": [
+ "ㄓㄨ1"
+ ],
+ "㧤": [
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+ "㬩": [
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+ "ㄉㄢ3",
+ "ㄐㄩ4"
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+ "㯹": [
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+ "㯺": [
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+ ],
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+ ],
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+ ],
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+ "㰐": [
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+ ],
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+ "ㄕㄢ1"
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+ "㰒": [
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+ ],
+ "㰔": [
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+ "㰙": [
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+ ],
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+ ],
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+ "ㄑㄧ4"
+ ],
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+ "㰣": [
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+ ],
+ "㰤": [
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+ "ㄑㄧㄝ4"
+ ],
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+ "ㄏㄨㄟ4"
+ ],
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+ ],
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+ "ㄏㄞ1"
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+ "㰨": [
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+ "ㄏㄞ1"
+ ],
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+ ],
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+ "ㄔㄢ1"
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+ ],
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+ "ㄕㄣ4"
+ ],
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+ "ㄊㄡ4",
+ "ㄊㄡ3",
+ "ㄏㄡ4"
+ ],
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+ "ㄑㄧㄝ4",
+ "ㄏㄜ1"
+ ],
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+ ],
+ "㰲": [
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+ "ㄒㄩ4"
+ ],
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+ "ㄧㄚ1"
+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄒㄧㄢ4",
+ "ㄏㄢ3"
+ ],
+ "㰺": [
+ "ㄒㄧㄚ4",
+ "ㄒㄧㄚ2"
+ ],
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+ "ㄒㄧ1",
+ "ㄏㄡ4"
+ ],
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+ "ㄑㄧㄝ4"
+ ],
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+ "ㄧㄢ4"
+ ],
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+ ],
+ "㰿": [
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+ ],
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+ "ㄎㄨㄢ3"
+ ],
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+ "ㄎㄤ1"
+ ],
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+ "ㄧㄣ3"
+ ],
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+ "ㄇㄛ4"
+ ],
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+ ],
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+ "ㄒㄧ1"
+ ],
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+ "ㄒㄧ4"
+ ],
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+ ],
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+ "ㄧㄝ4"
+ ],
+ "㱊": [
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+ ],
+ "㱋": [
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+ ],
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+ "ㄔㄜ4"
+ ],
+ "㱍": [
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+ ],
+ "㱎": [
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+ ],
+ "㱔": [
+ "ㄒㄧㄝ1"
+ ],
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+ "ㄘㄨㄟ4"
+ ],
+ "㱗": [
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+ ],
+ "㱘": [
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+ ],
+ "㱙": [
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+ "ㄍㄨㄚ3"
+ ],
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+ "ㄘㄢ2"
+ ],
+ "㱛": [
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+ "ㄅㄨ4"
+ ],
+ "㱜": [
+ "ㄓㄚ2"
+ ],
+ "㱞": [
+ "ㄧ4",
+ "ㄌㄚ1"
+ ],
+ "㱟": [
+ "ㄆㄧ1",
+ "ㄆㄧ3"
+ ],
+ "㱠": [
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+ "ㄍㄨ1"
+ ],
+ "㱡": [
+ "ㄕㄥ1"
+ ],
+ "㱢": [
+ "ㄌㄤ2"
+ ],
+ "㱣": [
+ "ㄊㄨㄟ3"
+ ],
+ "㱤": [
+ "ㄒㄧ1"
+ ],
+ "㱥": [
+ "ㄌㄧㄥ2",
+ "ㄌㄥ4"
+ ],
+ "㱦": [
+ "ㄑㄧ1"
+ ],
+ "㱧": [
+ "ㄨㄛ4",
+ "ㄩㄢ3"
+ ],
+ "㱨": [
+ "ㄌㄧㄢ4"
+ ],
+ "㱩": [
+ "ㄉㄨ2"
+ ],
+ "㱪": [
+ "ㄇㄣ4"
+ ],
+ "㱫": [
+ "ㄌㄢ4"
+ ],
+ "㱬": [
+ "ㄨㄟ3"
+ ],
+ "㱭": [
+ "ㄉㄨㄢ4"
+ ],
+ "㱮": [
+ "ㄎㄨㄞ4"
+ ],
+ "㱯": [
+ "ㄞ2"
+ ],
+ "㱰": [
+ "ㄗㄞ3"
+ ],
+ "㱱": [
+ "ㄏㄨㄟ4"
+ ],
+ "㱲": [
+ "ㄧ4"
+ ],
+ "㱳": [
+ "ㄇㄛ4"
+ ],
+ "㱴": [
+ "ㄗ4"
+ ],
+ "㱵": [
+ "ㄈㄣ4"
+ ],
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+ ],
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+ "ㄐㄩㄣ4"
+ ],
+ "㻓": [
+ "ㄗㄡ1"
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+ "㻔": [
+ "ㄉㄨㄛ3"
+ ],
+ "㻕": [
+ "ㄐㄩㄝ2"
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+ "㻖": [
+ "ㄉㄞ4"
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+ "ㄅㄟ4"
+ ],
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+ "ㄌㄚ4"
+ ],
+ "㻞": [
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+ "ㄅㄢ1"
+ ],
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+ "ㄙㄨㄟ2"
+ ],
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+ "ㄊㄨ2"
+ ],
+ "㻡": [
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+ "ㄉㄧㄝ2"
+ ],
+ "㻧": [
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+ ],
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+ ],
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+ "㻱": [
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+ ],
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+ "㻹": [
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+ ],
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+ "ㄒㄩㄢ2"
+ ],
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+ ],
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+ ],
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+ "ㄊㄤ3"
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+ "㼓": [
+ "ㄌㄧㄢ2"
+ ],
+ "㼔": [
+ "ㄨㄣ1"
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+ "ㄉㄤ1"
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+ ],
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+ ],
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+ ],
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+ "ㄓㄡ4"
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+ "㼚": [
+ "ㄍㄤ1"
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+ "㼜": [
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+ ],
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+ "ㄅㄥ4"
+ ],
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+ "㼣": [
+ "ㄅㄛ2"
+ ],
+ "㼤": [
+ "ㄑㄧㄝ4"
+ ],
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+ "ㄎㄠ3"
+ ],
+ "㼦": [
+ "ㄍㄨㄥ3"
+ ],
+ "㼧": [
+ "ㄊㄨㄥ2"
+ ],
+ "㼨": [
+ "ㄏㄢ2"
+ ],
+ "㼩": [
+ "ㄔㄥ2",
+ "ㄕㄥ4"
+ ],
+ "㼪": [
+ "ㄐㄧㄝ2"
+ ],
+ "㼫": [
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+ "ㄏㄨㄚ4"
+ ],
+ "㼬": [
+ "ㄒㄧㄥ4"
+ ],
+ "㼭": [
+ "ㄉㄧㄢ4"
+ ],
+ "㼮": [
+ "ㄔㄞ1",
+ "ㄑㄧ4"
+ ],
+ "㼯": [
+ "ㄉㄨㄥ4"
+ ],
+ "㼰": [
+ "ㄆㄧ2"
+ ],
+ "㼱": [
+ "ㄖㄨㄢ3",
+ "ㄐㄩㄣ4"
+ ],
+ "㼲": [
+ "ㄌㄧㄝ4"
+ ],
+ "㼳": [
+ "ㄕㄥ3"
+ ],
+ "㼴": [
+ "ㄡ3"
+ ],
+ "㼵": [
+ "ㄉㄧ4"
+ ],
+ "㼶": [
+ "ㄩ2"
+ ],
+ "㼷": [
+ "ㄔㄨㄢ2",
+ "ㄓㄨㄢ1"
+ ],
+ "㼸": [
+ "ㄖㄨㄥ2"
+ ],
+ "㼹": [
+ "ㄎㄤ1",
+ "ㄏㄨㄤ1"
+ ],
+ "㼺": [
+ "ㄊㄤ2"
+ ],
+ "㼻": [
+ "ㄘㄨㄥ2"
+ ],
+ "㼼": [
+ "ㄆㄧㄠ2"
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+ ],
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+ "ㄒㄩㄝ4"
+ ],
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+ "ㄐㄧ1"
+ ],
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+ "ㄊㄢ4"
+ ],
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+ "ㄇㄚ4"
+ ],
+ "䀤": [
+ "ㄇㄠ4"
+ ],
+ "䀥": [
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+ "ㄍㄨ3"
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+ ],
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+ "ㄍㄨㄚ1"
+ ],
+ "䀩": [
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+ ],
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+ "ㄏㄤ2"
+ ],
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+ "ㄊㄨㄣ3"
+ ],
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+ ],
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+ "ㄍㄨ3"
+ ],
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+ "䀳": [
+ "ㄞ4"
+ ],
+ "䀴": [
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+ "ㄧㄚ4",
+ "ㄎㄥ1"
+ ],
+ "䀵": [
+ "ㄕㄨㄣ4"
+ ],
+ "䀶": [
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+ "ㄌㄤ3"
+ ],
+ "䀷": [
+ "ㄐㄧㄝ2"
+ ],
+ "䀸": [
+ "ㄔ4"
+ ],
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+ "ㄓㄚ3",
+ "ㄕㄜ4",
+ "ㄐㄧㄚ2",
+ "ㄧㄚ4"
+ ],
+ "䀺": [
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+ "ㄊㄠ1"
+ ],
+ "䀻": [
+ "ㄆㄧㄥ4"
+ ],
+ "䀼": [
+ "ㄔㄣ1",
+ "ㄖㄣ4"
+ ],
+ "䀽": [
+ "ㄧㄢ2"
+ ],
+ "䀾": [
+ "ㄉㄨ3"
+ ],
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+ "ㄉㄧ4"
+ ],
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+ "ㄌㄧㄤ4"
+ ],
+ "䁂": [
+ "ㄒㄧㄢ4"
+ ],
+ "䁃": [
+ "ㄅㄧㄠ1"
+ ],
+ "䁄": [
+ "ㄒㄧㄥ4"
+ ],
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+ "ㄇㄥ3",
+ "ㄇㄥ4"
+ ],
+ "䁆": [
+ "ㄧㄝ4"
+ ],
+ "䁇": [
+ "ㄇㄧ4"
+ ],
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+ "ㄑㄧ4"
+ ],
+ "䁉": [
+ "ㄑㄧ4"
+ ],
+ "䁊": [
+ "ㄨㄛ4"
+ ],
+ "䁋": [
+ "ㄒㄧㄝ4",
+ "ㄓㄜ2"
+ ],
+ "䁌": [
+ "ㄩ4"
+ ],
+ "䁍": [
+ "ㄑㄧㄚ4",
+ "ㄎㄢ1"
+ ],
+ "䁎": [
+ "ㄔㄥ2",
+ "ㄊㄧㄥ2",
+ "ㄔㄥ1"
+ ],
+ "䁏": [
+ "ㄧㄠ3"
+ ],
+ "䁐": [
+ "ㄧㄥ1",
+ "ㄧㄥ4"
+ ],
+ "䁑": [
+ "ㄧㄤ2"
+ ],
+ "䁒": [
+ "ㄐㄧ2",
+ "ㄗ2"
+ ],
+ "䁓": [
+ "ㄗㄨㄥ1",
+ "ㄗㄨㄥ3",
+ "ㄐㄧㄝ4"
+ ],
+ "䁔": [
+ "ㄒㄩㄢ1",
+ "ㄏㄢ4"
+ ],
+ "䁕": [
+ "ㄇㄧㄣ2"
+ ],
+ "䁖": [
+ "ㄌㄡ1"
+ ],
+ "䁗": [
+ "ㄎㄞ3"
+ ],
+ "䁘": [
+ "ㄧㄠ3"
+ ],
+ "䁙": [
+ "ㄧㄢ3"
+ ],
+ "䁚": [
+ "ㄙㄨㄣ3",
+ "ㄑㄩㄥ2"
+ ],
+ "䁛": [
+ "ㄍㄨㄟ4"
+ ],
+ "䁜": [
+ "ㄏㄨㄤ4",
+ "ㄏㄨㄤ3"
+ ],
+ "䁝": [
+ "ㄧㄥ2",
+ "ㄧㄥ3"
+ ],
+ "䁞": [
+ "ㄕㄥ3"
+ ],
+ "䁟": [
+ "ㄔㄚ2"
+ ],
+ "䁠": [
+ "ㄌㄧㄢ2"
+ ],
+ "䁢": [
+ "ㄒㄩㄢ2"
+ ],
+ "䁣": [
+ "ㄔㄨㄢ2"
+ ],
+ "䁤": [
+ "ㄔㄜ4",
+ "ㄓㄜ2",
+ "ㄏㄨㄟ3"
+ ],
+ "䁥": [
+ "ㄋㄧ4"
+ ],
+ "䁦": [
+ "ㄑㄩ4"
+ ],
+ "䁧": [
+ "ㄇㄧㄠ2"
+ ],
+ "䁨": [
+ "ㄏㄨㄛ4"
+ ],
+ "䁩": [
+ "ㄩ2"
+ ],
+ "䁪": [
+ "ㄓㄢ3"
+ ],
+ "䁫": [
+ "ㄏㄨ2",
+ "ㄇㄥ2"
+ ],
+ "䁬": [
+ "ㄘㄥ2"
+ ],
+ "䁭": [
+ "ㄅㄧㄠ1"
+ ],
+ "䁮": [
+ "ㄑㄧㄢ2"
+ ],
+ "䁯": [
+ "ㄒㄧ1",
+ "ㄒㄧㄝ2"
+ ],
+ "䁰": [
+ "ㄐㄧㄤ3"
+ ],
+ "䁱": [
+ "ㄎㄡ1"
+ ],
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+ "ㄇㄞ2"
+ ],
+ "䁳": [
+ "ㄇㄤ3"
+ ],
+ "䁴": [
+ "ㄓㄢ3",
+ "ㄕㄢ3"
+ ],
+ "䁵": [
+ "ㄅㄧㄢ3",
+ "ㄏㄨㄢ2"
+ ],
+ "䁶": [
+ "ㄐㄧ1",
+ "ㄐㄧㄠ3"
+ ],
+ "䁷": [
+ "ㄐㄩㄝ2",
+ "ㄨ4"
+ ],
+ "䁸": [
+ "ㄋㄤ2",
+ "ㄋㄨㄥ3"
+ ],
+ "䁹": [
+ "ㄅㄧ4"
+ ],
+ "䁺": [
+ "ㄕ4",
+ "ㄧ4"
+ ],
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+ "ㄕㄨㄛ4",
+ "ㄌㄧ4"
+ ],
+ "䁼": [
+ "ㄇㄛ4"
+ ],
+ "䁽": [
+ "ㄌㄧㄝ4"
+ ],
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+ "ㄇㄧㄝ4"
+ ],
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+ "ㄇㄛ4"
+ ],
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+ "ㄒㄧ1"
+ ],
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+ "ㄔㄢ2"
+ ],
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+ "ㄑㄩ2"
+ ],
+ "䂃": [
+ "ㄐㄧㄠ4"
+ ],
+ "䂄": [
+ "ㄏㄨㄛ4"
+ ],
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+ "ㄒㄧㄢ1"
+ ],
+ "䂆": [
+ "ㄒㄩ4"
+ ],
+ "䂇": [
+ "ㄋㄧㄡ3"
+ ],
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+ "ㄊㄨㄥ2"
+ ],
+ "䂉": [
+ "ㄏㄡ2"
+ ],
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+ "ㄩ4"
+ ],
+ "䂌": [
+ "ㄔㄨㄥ1"
+ ],
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+ "ㄅㄛ2"
+ ],
+ "䂎": [
+ "ㄗㄨㄢ3",
+ "ㄘㄨㄢ1"
+ ],
+ "䂏": [
+ "ㄉㄧㄠ1"
+ ],
+ "䂐": [
+ "ㄓㄨㄛ1"
+ ],
+ "䂑": [
+ "ㄐㄧ1"
+ ],
+ "䂒": [
+ "ㄑㄧㄚ4"
+ ],
+ "䂔": [
+ "ㄒㄧㄥ4"
+ ],
+ "䂕": [
+ "ㄏㄨㄟ4"
+ ],
+ "䂖": [
+ "ㄕ2"
+ ],
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+ "ㄎㄨ1"
+ ],
+ "䂙": [
+ "ㄉㄨㄟ1"
+ ],
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+ "ㄧㄠ2"
+ ],
+ "䂛": [
+ "ㄩ2"
+ ],
+ "䂜": [
+ "ㄅㄤ4"
+ ],
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+ "ㄐㄧㄝ2"
+ ],
+ "䂞": [
+ "ㄓㄜ4"
+ ],
+ "䂟": [
+ "ㄐㄧㄚ1"
+ ],
+ "䂠": [
+ "ㄕ3"
+ ],
+ "䂡": [
+ "ㄉㄧ3"
+ ],
+ "䂢": [
+ "ㄉㄨㄥ3"
+ ],
+ "䂣": [
+ "ㄘ2"
+ ],
+ "䂤": [
+ "ㄈㄨ4"
+ ],
+ "䂥": [
+ "ㄇㄧㄣ2"
+ ],
+ "䂦": [
+ "ㄓㄣ1",
+ "ㄓㄣ3"
+ ],
+ "䂧": [
+ "ㄓㄣ3"
+ ],
+ "䂩": [
+ "ㄧㄢ4",
+ "ㄑㄧㄥ4"
+ ],
+ "䂪": [
+ "ㄑㄧㄠ3",
+ "ㄉㄧㄠ4"
+ ],
+ "䂫": [
+ "ㄏㄤ1",
+ "ㄏㄨㄥ2"
+ ],
+ "䂬": [
+ "ㄍㄨㄥ3"
+ ],
+ "䂭": [
+ "ㄑㄧㄠ1"
+ ],
+ "䂮": [
+ "ㄌㄩㄝ4"
+ ],
+ "䂯": [
+ "ㄍㄨㄞ4"
+ ],
+ "䂰": [
+ "ㄌㄚ4"
+ ],
+ "䂱": [
+ "ㄖㄨㄟ4"
+ ],
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+ "ㄈㄚ3"
+ ],
+ "䂳": [
+ "ㄘㄨㄛ3",
+ "ㄔㄚ3"
+ ],
+ "䂴": [
+ "ㄧㄢ2"
+ ],
+ "䂵": [
+ "ㄍㄨㄥ1"
+ ],
+ "䂶": [
+ "ㄐㄧㄝ2"
+ ],
+ "䂷": [
+ "ㄍㄨㄞ1"
+ ],
+ "䂸": [
+ "ㄍㄨㄛ2"
+ ],
+ "䂹": [
+ "ㄙㄨㄛ3"
+ ],
+ "䂺": [
+ "ㄨㄛ3",
+ "ㄎㄜ1"
+ ],
+ "䂻": [
+ "ㄓㄥ4"
+ ],
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+ "ㄋㄧㄝ4"
+ ],
+ "䂽": [
+ "ㄉㄧㄠ4"
+ ],
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+ "ㄌㄞ3"
+ ],
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+ "ㄊㄚ4"
+ ],
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+ "ㄘㄨㄟ4"
+ ],
+ "䃁": [
+ "ㄧㄚ1"
+ ],
+ "䃂": [
+ "ㄍㄨㄣ3"
+ ],
+ "䃅": [
+ "ㄉㄧ1"
+ ],
+ "䃇": [
+ "ㄇㄧㄢ2"
+ ],
+ "䃈": [
+ "ㄐㄧㄝ1"
+ ],
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+ "ㄇㄧㄣ2"
+ ],
+ "䃊": [
+ "ㄐㄩ3"
+ ],
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+ "ㄩ2"
+ ],
+ "䃌": [
+ "ㄓㄣ1",
+ "ㄧㄣ1"
+ ],
+ "䃍": [
+ "ㄓㄠ4"
+ ],
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+ "ㄓㄚ4",
+ "ㄓㄚ3"
+ ],
+ "䃏": [
+ "ㄒㄧㄥ1"
+ ],
+ "䃑": [
+ "ㄅㄢ1",
+ "ㄆㄢ2"
+ ],
+ "䃒": [
+ "ㄏㄜ2"
+ ],
+ "䃓": [
+ "ㄍㄡ4",
+ "ㄍㄡ1"
+ ],
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+ "ㄏㄨㄥ2",
+ "ㄑㄩㄥ2"
+ ],
+ "䃕": [
+ "ㄌㄠ2",
+ "ㄌㄨㄛ4"
+ ],
+ "䃖": [
+ "ㄨ4"
+ ],
+ "䃗": [
+ "ㄅㄛ1",
+ "ㄓㄨㄛ2"
+ ],
+ "䃘": [
+ "ㄎㄥ1"
+ ],
+ "䃙": [
+ "ㄌㄨ4"
+ ],
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+ "ㄘㄨ4",
+ "ㄗㄨ2"
+ ],
+ "䃛": [
+ "ㄌㄧㄢ2"
+ ],
+ "䃜": [
+ "ㄧ1"
+ ],
+ "䃝": [
+ "ㄑㄧㄠ4"
+ ],
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+ "ㄕㄨ2"
+ ],
+ "䃠": [
+ "ㄒㄩㄢ4"
+ ],
+ "䃡": [
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+ "ㄑㄧㄣ2"
+ ],
+ "䃢": [
+ "ㄑㄧㄣ1"
+ ],
+ "䃣": [
+ "ㄏㄨㄟ3"
+ ],
+ "䃤": [
+ "ㄙㄨ4"
+ ],
+ "䃥": [
+ "ㄔㄨㄤ2"
+ ],
+ "䃦": [
+ "ㄉㄨㄣ1"
+ ],
+ "䃧": [
+ "ㄌㄨㄥ2"
+ ],
+ "䃩": [
+ "ㄋㄠ2"
+ ],
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+ "ㄊㄢ2"
+ ],
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+ "ㄉㄢ3"
+ ],
+ "䃬": [
+ "ㄨㄟ3",
+ "ㄎㄨㄟ3",
+ "ㄌㄟ3"
+ ],
+ "䃭": [
+ "ㄍㄢ3"
+ ],
+ "䃮": [
+ "ㄉㄚ2"
+ ],
+ "䃯": [
+ "ㄌㄧ4"
+ ],
+ "䃰": [
+ "ㄘㄚ1"
+ ],
+ "䃱": [
+ "ㄒㄧㄢ4"
+ ],
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+ "ㄆㄢ2"
+ ],
+ "䃳": [
+ "ㄌㄚ4",
+ "ㄌㄧㄝ4"
+ ],
+ "䃴": [
+ "ㄓㄨ1"
+ ],
+ "䃵": [
+ "ㄋㄧㄠ3"
+ ],
+ "䃶": [
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+ "ㄍㄨㄟ1",
+ "ㄍㄨㄞ4"
+ ],
+ "䃷": [
+ "ㄧㄥ2"
+ ],
+ "䃸": [
+ "ㄒㄧㄢ4",
+ "ㄐㄧㄣ1"
+ ],
+ "䃹": [
+ "ㄌㄢ4"
+ ],
+ "䃺": [
+ "ㄇㄛ2"
+ ],
+ "䃻": [
+ "ㄅㄚ4"
+ ],
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+ "ㄓ1",
+ "ㄈㄨ2"
+ ],
+ "䃾": [
+ "ㄅㄧ3"
+ ],
+ "䃿": [
+ "ㄈㄨ1"
+ ],
+ "䄀": [
+ "ㄏㄨㄛ4"
+ ],
+ "䄁": [
+ "ㄧ4"
+ ],
+ "䄂": [
+ "ㄌㄧㄡ4"
+ ],
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+ "ㄧㄤ1"
+ ],
+ "䄄": [
+ "ㄧㄣ1"
+ ],
+ "䄅": [
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+ ],
+ "䄆": [
+ "ㄏㄨㄛ2",
+ "ㄏㄨㄢ4"
+ ],
+ "䄇": [
+ "ㄔㄥ2"
+ ],
+ "䄈": [
+ "ㄉㄡ4",
+ "ㄒㄧㄤ2"
+ ],
+ "䄉": [
+ "ㄜ2"
+ ],
+ "䄋": [
+ "ㄧㄢ3",
+ "ㄧㄢ4"
+ ],
+ "䄌": [
+ "ㄓㄨㄟ4",
+ "ㄔㄨㄛ4"
+ ],
+ "䄍": [
+ "ㄓㄚ4"
+ ],
+ "䄎": [
+ "ㄑㄧ3"
+ ],
+ "䄏": [
+ "ㄩ2"
+ ],
+ "䄐": [
+ "ㄑㄩㄢ4"
+ ],
+ "䄑": [
+ "ㄏㄨㄛ2"
+ ],
+ "䄒": [
+ "ㄋㄧㄝ4"
+ ],
+ "䄓": [
+ "ㄏㄨㄤ2"
+ ],
+ "䄔": [
+ "ㄐㄩ3"
+ ],
+ "䄕": [
+ "ㄕㄜ4"
+ ],
+ "䄘": [
+ "ㄆㄥ2"
+ ],
+ "䄙": [
+ "ㄇㄧㄥ2"
+ ],
+ "䄚": [
+ "ㄘㄠ2"
+ ],
+ "䄛": [
+ "ㄌㄡ2"
+ ],
+ "䄜": [
+ "ㄌㄧ2",
+ "ㄔ1"
+ ],
+ "䄝": [
+ "ㄔㄨㄤ1"
+ ],
+ "䄟": [
+ "ㄘㄨㄟ1"
+ ],
+ "䄠": [
+ "ㄕㄢ4"
+ ],
+ "䄡": [
+ "ㄉㄢ1"
+ ],
+ "䄢": [
+ "ㄑㄧ2"
+ ],
+ "䄤": [
+ "ㄌㄞ4",
+ "ㄌㄢ3"
+ ],
+ "䄥": [
+ "ㄌㄧㄥ2"
+ ],
+ "䄦": [
+ "ㄌㄧㄠ3"
+ ],
+ "䄧": [
+ "ㄖㄥ2"
+ ],
+ "䄨": [
+ "ㄩ2"
+ ],
+ "䄩": [
+ "ㄧ4"
+ ],
+ "䄪": [
+ "ㄉㄧㄠ3"
+ ],
+ "䄫": [
+ "ㄑㄧ3"
+ ],
+ "䄬": [
+ "ㄧ2"
+ ],
+ "䄭": [
+ "ㄋㄧㄢ2"
+ ],
+ "䄮": [
+ "ㄈㄨ1"
+ ],
+ "䄯": [
+ "ㄐㄧㄢ3"
+ ],
+ "䄰": [
+ "ㄧㄚ2"
+ ],
+ "䄱": [
+ "ㄈㄤ1"
+ ],
+ "䄲": [
+ "ㄖㄨㄟ4"
+ ],
+ "䄳": [
+ "ㄒㄧㄢ1"
+ ],
+ "䄶": [
+ "ㄅㄧ4",
+ "ㄅㄛ2"
+ ],
+ "䄷": [
+ "ㄕ2"
+ ],
+ "䄸": [
+ "ㄆㄛ4"
+ ],
+ "䄹": [
+ "ㄋㄧㄢ2"
+ ],
+ "䄺": [
+ "ㄓ4",
+ "ㄊㄧ2"
+ ],
+ "䄻": [
+ "ㄊㄠ2",
+ "ㄔㄠ2",
+ "ㄊㄧㄠ1"
+ ],
+ "䄼": [
+ "ㄊㄧㄢ3"
+ ],
+ "䄽": [
+ "ㄊㄧㄢ3"
+ ],
+ "䄾": [
+ "ㄖㄨ4",
+ "ㄖㄨㄥ3"
+ ],
+ "䄿": [
+ "ㄧ4"
+ ],
+ "䅀": [
+ "ㄌㄧㄝ4"
+ ],
+ "䅁": [
+ "ㄢ4"
+ ],
+ "䅂": [
+ "ㄏㄜ2"
+ ],
+ "䅃": [
+ "ㄑㄩㄥ2",
+ "ㄐㄩㄥ4"
+ ],
+ "䅄": [
+ "ㄌㄧ4"
+ ],
+ "䅅": [
+ "ㄍㄨㄟ1",
+ "ㄨㄚ1"
+ ],
+ "䅆": [
+ "ㄗ4"
+ ],
+ "䅇": [
+ "ㄙㄨ4"
+ ],
+ "䅈": [
+ "ㄩㄢ4"
+ ],
+ "䅉": [
+ "ㄧㄚ4"
+ ],
+ "䅊": [
+ "ㄔㄚ2"
+ ],
+ "䅋": [
+ "ㄨㄢ3"
+ ],
+ "䅌": [
+ "ㄐㄩㄢ1"
+ ],
+ "䅍": [
+ "ㄊㄧㄥ3"
+ ],
+ "䅎": [
+ "ㄧㄡ3"
+ ],
+ "䅏": [
+ "ㄏㄨㄟ4"
+ ],
+ "䅐": [
+ "ㄐㄧㄢ3"
+ ],
+ "䅑": [
+ "ㄖㄨㄟ2"
+ ],
+ "䅒": [
+ "ㄇㄤ2"
+ ],
+ "䅓": [
+ "ㄐㄩ3"
+ ],
+ "䅔": [
+ "ㄗ1"
+ ],
+ "䅕": [
+ "ㄐㄩ1"
+ ],
+ "䅖": [
+ "ㄢ1",
+ "ㄢ3",
+ "ㄧㄢ1",
+ "ㄧㄢ3",
+ "ㄧㄝ4"
+ ],
+ "䅗": [
+ "ㄙㄨㄟ4"
+ ],
+ "䅘": [
+ "ㄌㄞ2"
+ ],
+ "䅙": [
+ "ㄏㄨㄣ4"
+ ],
+ "䅚": [
+ "ㄑㄩㄢ3"
+ ],
+ "䅛": [
+ "ㄔㄤ1"
+ ],
+ "䅜": [
+ "ㄉㄨㄛ4",
+ "ㄔㄨㄟ2",
+ "ㄊㄨㄛ3"
+ ],
+ "䅝": [
+ "ㄎㄨㄥ1"
+ ],
+ "䅞": [
+ "ㄋㄜ4"
+ ],
+ "䅟": [
+ "ㄘㄢ3"
+ ],
+ "䅠": [
+ "ㄊㄧ2"
+ ],
+ "䅡": [
+ "ㄒㄩ3"
+ ],
+ "䅢": [
+ "ㄐㄧㄡ4"
+ ],
+ "䅣": [
+ "ㄏㄨㄤ2"
+ ],
+ "䅤": [
+ "ㄑㄧ4"
+ ],
+ "䅥": [
+ "ㄐㄧㄝ2",
+ "ㄍㄜ2"
+ ],
+ "䅦": [
+ "ㄇㄠ2"
+ ],
+ "䅧": [
+ "ㄧㄢ1",
+ "ㄧㄣ4"
+ ],
+ "䅩": [
+ "ㄓ3",
+ "ㄑㄧ2"
+ ],
+ "䅪": [
+ "ㄊㄨㄟ2"
+ ],
+ "䅬": [
+ "ㄞ4"
+ ],
+ "䅭": [
+ "ㄆㄤ2"
+ ],
+ "䅮": [
+ "ㄘㄤ4"
+ ],
+ "䅯": [
+ "ㄊㄤ2"
+ ],
+ "䅰": [
+ "ㄣ3"
+ ],
+ "䅱": [
+ "ㄏㄨㄣ4"
+ ],
+ "䅲": [
+ "ㄑㄧ2"
+ ],
+ "䅳": [
+ "ㄔㄨ2",
+ "ㄗㄡ1"
+ ],
+ "䅴": [
+ "ㄙㄨㄛ3"
+ ],
+ "䅵": [
+ "ㄓㄨㄛ2"
+ ],
+ "䅶": [
+ "ㄋㄡ4"
+ ],
+ "䅷": [
+ "ㄊㄨ2",
+ "ㄔㄨ2"
+ ],
+ "䅸": [
+ "ㄕㄣ1",
+ "ㄗㄨ2"
+ ],
+ "䅹": [
+ "ㄌㄡ3"
+ ],
+ "䅺": [
+ "ㄅㄧㄠ1",
+ "ㄇㄧㄠ3"
+ ],
+ "䅻": [
+ "ㄌㄧ2"
+ ],
+ "䅼": [
+ "ㄇㄢ2",
+ "ㄇㄢ4"
+ ],
+ "䅽": [
+ "ㄒㄧㄣ1",
+ "ㄍㄨ3"
+ ],
+ "䅾": [
+ "ㄘㄣ2",
+ "ㄑㄧㄢ2"
+ ],
+ "䅿": [
+ "ㄏㄨㄚ2",
+ "ㄏㄨㄤ2"
+ ],
+ "䆀": [
+ "ㄇㄟ3"
+ ],
+ "䆁": [
+ "ㄍㄠ1"
+ ],
+ "䆂": [
+ "ㄌㄧㄢ2"
+ ],
+ "䆃": [
+ "ㄉㄠ4"
+ ],
+ "䆄": [
+ "ㄓㄢ3"
+ ],
+ "䆅": [
+ "ㄗ1"
+ ],
+ "䆈": [
+ "ㄓ4"
+ ],
+ "䆉": [
+ "ㄅㄚ4"
+ ],
+ "䆊": [
+ "ㄘㄨㄟ4",
+ "ㄇㄟ4"
+ ],
+ "䆋": [
+ "ㄑㄧㄡ1"
+ ],
+ "䆍": [
+ "ㄌㄨㄥ2"
+ ],
+ "䆎": [
+ "ㄒㄧㄢ1"
+ ],
+ "䆏": [
+ "ㄈㄟ4",
+ "ㄈㄣ4"
+ ],
+ "䆐": [
+ "ㄍㄨㄛ2"
+ ],
+ "䆑": [
+ "ㄔㄥ2"
+ ],
+ "䆒": [
+ "ㄐㄧㄡ4"
+ ],
+ "䆓": [
+ "ㄜ4",
+ "ㄖㄨㄢ3"
+ ],
+ "䆔": [
+ "ㄔㄨㄥ1"
+ ],
+ "䆕": [
+ "ㄩㄝ4"
+ ],
+ "䆖": [
+ "ㄏㄨㄥ2"
+ ],
+ "䆗": [
+ "ㄧㄠ3"
+ ],
+ "䆘": [
+ "ㄧㄚ1",
+ "ㄗㄚ1"
+ ],
+ "䆙": [
+ "ㄧㄠ2"
+ ],
+ "䆚": [
+ "ㄊㄨㄥ2",
+ "ㄉㄨㄥ4"
+ ],
+ "䆛": [
+ "ㄓㄚ4"
+ ],
+ "䆜": [
+ "ㄧㄡ4"
+ ],
+ "䆝": [
+ "ㄒㄩㄝ4",
+ "ㄓㄨ2"
+ ],
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+ "ㄋㄚ3"
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+ "ㄓㄚ4"
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+ "䋑": [
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+ "ㄆㄛ2"
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+ "䋤": [
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+ "ㄖㄡ4",
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+ "ㄔ3"
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+ "ㄉㄨㄟ1"
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+ "䏫": [
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+ "ㄊㄧ1"
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+ "ㄔㄣ1"
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+ "ㄓㄢ4"
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+ "䏽": [
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+ "ㄆㄟ2"
+ ],
+ "䏿": [
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+ "ㄉㄨ1"
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+ "ㄓㄨㄣ1"
+ ],
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+ "ㄏㄢ4"
+ ],
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+ "ㄔㄨㄣ2"
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+ "䐈": [
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+ "ㄋㄠ3"
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+ "ㄏㄨㄣ2",
+ "ㄏㄨㄣ4"
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+ "䐏": [
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+ "ㄕㄨㄣ3"
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+ "䐐": [
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+ "䐒": [
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+ "ㄅㄧㄢ4"
+ ],
+ "䐕": [
+ "ㄐㄧ2"
+ ],
+ "䐖": [
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+ ],
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+ ],
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+ ],
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+ "ㄍㄡ1"
+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄨㄥ3"
+ ],
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+ "ㄎㄜ1"
+ ],
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+ "ㄏㄜ4"
+ ],
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+ "ㄍㄨ3",
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄉㄢ1"
+ ],
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+ ],
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+ "ㄊㄢ2"
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+ "ㄠ3"
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+ ],
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+ "ㄖㄤ3"
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄧㄝ1"
+ ],
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+ "ㄩ2"
+ ],
+ "䓋": [
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+ "䓌": [
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+ ],
+ "䓍": [
+ "ㄏㄢ3"
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+ "䓎": [
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+ ],
+ "䓏": [
+ "ㄈㄨ1"
+ ],
+ "䓐": [
+ "ㄔㄨㄣ2"
+ ],
+ "䓑": [
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+ ],
+ "䓒": [
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+ ],
+ "䓓": [
+ "ㄔㄡ2"
+ ],
+ "䓕": [
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+ ],
+ "䓖": [
+ "ㄑㄩㄥ2"
+ ],
+ "䓗": [
+ "ㄘㄨㄥ1"
+ ],
+ "䓘": [
+ "ㄍㄠ1",
+ "ㄐㄧㄡ4"
+ ],
+ "䓙": [
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+ "ㄍㄨㄞ1"
+ ],
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+ "ㄘㄨ2"
+ ],
+ "䓛": [
+ "ㄑㄩ1"
+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄌㄧㄝ4"
+ ],
+ "䓠": [
+ "ㄊㄚ4"
+ ],
+ "䓡": [
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+ "䓢": [
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+ ],
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+ ],
+ "䓤": [
+ "ㄏㄨ1"
+ ],
+ "䓥": [
+ "ㄌㄚ4"
+ ],
+ "䓦": [
+ "ㄉㄧㄢ3"
+ ],
+ "䓧": [
+ "ㄘ4"
+ ],
+ "䓨": [
+ "ㄧㄥ1"
+ ],
+ "䓫": [
+ "ㄑㄧ2"
+ ],
+ "䓬": [
+ "ㄓㄨㄛ2"
+ ],
+ "䓭": [
+ "ㄔㄚ4"
+ ],
+ "䓮": [
+ "ㄇㄠ4"
+ ],
+ "䓯": [
+ "ㄉㄨ2"
+ ],
+ "䓰": [
+ "ㄧㄣ1"
+ ],
+ "䓱": [
+ "ㄔㄞ2",
+ "ㄗㄨㄟ1"
+ ],
+ "䓲": [
+ "ㄖㄨㄟ4"
+ ],
+ "䓳": [
+ "ㄏㄣ3",
+ "ㄒㄧㄝ2"
+ ],
+ "䓴": [
+ "ㄖㄨㄢ3"
+ ],
+ "䓵": [
+ "ㄈㄨ1"
+ ],
+ "䓶": [
+ "ㄌㄞ4"
+ ],
+ "䓷": [
+ "ㄒㄧㄥ4"
+ ],
+ "䓸": [
+ "ㄐㄧㄢ1"
+ ],
+ "䓹": [
+ "ㄧ4"
+ ],
+ "䓺": [
+ "ㄇㄟ3"
+ ],
+ "䓼": [
+ "ㄇㄤ2",
+ "ㄏㄜ4"
+ ],
+ "䓽": [
+ "ㄐㄧ4"
+ ],
+ "䓾": [
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+ ],
+ "䓿": [
+ "ㄏㄢ4"
+ ],
+ "䔁": [
+ "ㄌㄧ4"
+ ],
+ "䔂": [
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+ "ㄗㄞ3"
+ ],
+ "䔃": [
+ "ㄗㄨ3"
+ ],
+ "䔄": [
+ "ㄧㄠ2",
+ "ㄧㄠ4"
+ ],
+ "䔅": [
+ "ㄍㄜ1"
+ ],
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+ "ㄌㄧ2"
+ ],
+ "䔇": [
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+ "ㄞ2"
+ ],
+ "䔈": [
+ "ㄍㄨㄥ4"
+ ],
+ "䔉": [
+ "ㄌㄧ4",
+ "ㄙㄨㄢ4"
+ ],
+ "䔊": [
+ "ㄅㄧㄥ1"
+ ],
+ "䔋": [
+ "ㄙㄨㄛ1"
+ ],
+ "䔎": [
+ "ㄙㄨ4"
+ ],
+ "䔏": [
+ "ㄔㄡ4"
+ ],
+ "䔐": [
+ "ㄐㄧㄢ1"
+ ],
+ "䔑": [
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+ "ㄧㄝ2",
+ "ㄊㄨ2"
+ ],
+ "䔒": [
+ "ㄅㄟ4"
+ ],
+ "䔓": [
+ "ㄒㄩ3"
+ ],
+ "䔔": [
+ "ㄐㄧㄥ4"
+ ],
+ "䔕": [
+ "ㄆㄨ2"
+ ],
+ "䔖": [
+ "ㄌㄧㄥ2"
+ ],
+ "䔗": [
+ "ㄒㄧㄤ2"
+ ],
+ "䔘": [
+ "ㄗㄨㄛ4"
+ ],
+ "䔙": [
+ "ㄉㄧㄠ4"
+ ],
+ "䔚": [
+ "ㄔㄨㄣ2"
+ ],
+ "䔛": [
+ "ㄑㄧㄥ3"
+ ],
+ "䔜": [
+ "ㄋㄢ2"
+ ],
+ "䔝": [
+ "ㄓㄞ1"
+ ],
+ "䔞": [
+ "ㄌㄩ4"
+ ],
+ "䔟": [
+ "ㄧ2"
+ ],
+ "䔠": [
+ "ㄕㄠ3",
+ "ㄕㄠ1",
+ "ㄕㄨㄛ4"
+ ],
+ "䔡": [
+ "ㄩ2"
+ ],
+ "䔢": [
+ "ㄏㄨㄚ2"
+ ],
+ "䔣": [
+ "ㄌㄧ2"
+ ],
+ "䔤": [
+ "ㄆㄚ1"
+ ],
+ "䔧": [
+ "ㄌㄧ2"
+ ],
+ "䔪": [
+ "ㄕㄨㄤ3"
+ ],
+ "䔬": [
+ "ㄧ4"
+ ],
+ "䔭": [
+ "ㄋㄧㄥ4"
+ ],
+ "䔮": [
+ "ㄙ1"
+ ],
+ "䔯": [
+ "ㄎㄨ4"
+ ],
+ "䔰": [
+ "ㄈㄨ4"
+ ],
+ "䔱": [
+ "ㄧ1"
+ ],
+ "䔲": [
+ "ㄉㄥ1",
+ "ㄔㄥ2"
+ ],
+ "䔳": [
+ "ㄖㄢ2"
+ ],
+ "䔴": [
+ "ㄘㄜ4",
+ "ㄘㄨㄟ4",
+ "ㄔㄨㄚ4"
+ ],
+ "䔶": [
+ "ㄊㄧ2",
+ "ㄊㄞ2"
+ ],
+ "䔷": [
+ "ㄑㄧㄣ2"
+ ],
+ "䔸": [
+ "ㄅㄧㄠ3",
+ "ㄅㄧㄠ1"
+ ],
+ "䔹": [
+ "ㄙㄨㄟ4"
+ ],
+ "䔺": [
+ "ㄨㄟ2",
+ "ㄨㄟ3"
+ ],
+ "䔻": [
+ "ㄉㄨㄣ1",
+ "ㄉㄨㄟ1"
+ ],
+ "䔼": [
+ "ㄙㄜ4",
+ "ㄗㄜ2"
+ ],
+ "䔽": [
+ "ㄞ4"
+ ],
+ "䔾": [
+ "ㄑㄧ4",
+ "ㄜ4"
+ ],
+ "䔿": [
+ "ㄗㄨㄣ3"
+ ],
+ "䕀": [
+ "ㄎㄨㄢ3"
+ ],
+ "䕁": [
+ "ㄈㄟ3"
+ ],
+ "䕃": [
+ "ㄧㄣ4"
+ ],
+ "䕅": [
+ "ㄙㄠ3"
+ ],
+ "䕆": [
+ "ㄉㄡ4"
+ ],
+ "䕇": [
+ "ㄏㄨㄟ4"
+ ],
+ "䕈": [
+ "ㄒㄧㄝ4"
+ ],
+ "䕉": [
+ "ㄗㄜ2"
+ ],
+ "䕊": [
+ "ㄊㄢ2"
+ ],
+ "䕋": [
+ "ㄊㄤ2"
+ ],
+ "䕌": [
+ "ㄓ4"
+ ],
+ "䕍": [
+ "ㄧ4"
+ ],
+ "䕎": [
+ "ㄈㄨ2"
+ ],
+ "䕏": [
+ "ㄜ2"
+ ],
+ "䕑": [
+ "ㄐㄩㄣ4"
+ ],
+ "䕒": [
+ "ㄐㄧㄚ1"
+ ],
+ "䕓": [
+ "ㄔㄚ2",
+ "ㄔㄨㄟ4"
+ ],
+ "䕔": [
+ "ㄒㄧㄢ2"
+ ],
+ "䕕": [
+ "ㄇㄢ4"
+ ],
+ "䕗": [
+ "ㄅㄧ4"
+ ],
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+ "ㄌㄧㄥ3"
+ ],
+ "䕙": [
+ "ㄐㄧㄝ2"
+ ],
+ "䕚": [
+ "ㄎㄨㄟ4"
+ ],
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+ "ㄐㄧㄚ2"
+ ],
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+ "ㄔㄥ1"
+ ],
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+ "ㄌㄤ4"
+ ],
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+ "ㄒㄧㄥ1"
+ ],
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+ "ㄈㄟ4"
+ ],
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+ "ㄌㄩ2"
+ ],
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+ "ㄓㄚ3"
+ ],
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+ "ㄏㄜ2"
+ ],
+ "䕤": [
+ "ㄐㄧ1"
+ ],
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+ "ㄋㄧ3"
+ ],
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+ "ㄧㄥ2"
+ ],
+ "䕧": [
+ "ㄒㄧㄠ4",
+ "ㄐㄧㄠ3"
+ ],
+ "䕨": [
+ "ㄊㄥ2"
+ ],
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+ "ㄌㄠ3"
+ ],
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+ "ㄗㄜ2"
+ ],
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+ "ㄎㄨㄟ2"
+ ],
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+ "ㄑㄧㄢ2",
+ "ㄒㄧㄢ2"
+ ],
+ "䕮": [
+ "ㄐㄩ2",
+ "ㄑㄩ1"
+ ],
+ "䕯": [
+ "ㄆㄧㄠ2"
+ ],
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+ "ㄈㄢ2"
+ ],
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+ "ㄊㄡ2"
+ ],
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+ "ㄌㄧㄣ3"
+ ],
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+ "ㄇㄧ2"
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+ "ㄓㄨㄛ2"
+ ],
+ "䕵": [
+ "ㄒㄧㄝ2"
+ ],
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+ "ㄏㄨ4"
+ ],
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+ "ㄇㄧ2"
+ ],
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+ "ㄐㄧㄝ1"
+ ],
+ "䕹": [
+ "ㄗㄚ2"
+ ],
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+ "ㄘㄨㄥ2"
+ ],
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+ "ㄌㄧ4"
+ ],
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+ "ㄖㄢ2"
+ ],
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+ "ㄓㄨ2"
+ ],
+ "䕾": [
+ "ㄧㄣ2",
+ "ㄧㄢ2"
+ ],
+ "䕿": [
+ "ㄏㄢ4"
+ ],
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+ "ㄧ4"
+ ],
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+ "ㄌㄨㄢ2"
+ ],
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+ "ㄩㄝ4",
+ "ㄌㄚ3"
+ ],
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+ "ㄖㄢ2"
+ ],
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+ "ㄌㄧㄥ2"
+ ],
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+ "ㄋㄧㄤ4"
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+ "ㄩ4"
+ ],
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+ "ㄋㄩㄝ4"
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+ "ㄧ4"
+ ],
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+ "ㄋㄩㄝ4"
+ ],
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+ "ㄧ4"
+ ],
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+ "ㄑㄧㄢ2"
+ ],
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+ "ㄒㄧㄚ2"
+ ],
+ "䖏": [
+ "ㄔㄨ3",
+ "ㄔㄨ4"
+ ],
+ "䖐": [
+ "ㄧㄣ2"
+ ],
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+ "ㄇㄧ4"
+ ],
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+ "ㄒㄧ1"
+ ],
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+ "ㄋㄚ4"
+ ],
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+ "ㄎㄢ3",
+ "ㄏㄢ4"
+ ],
+ "䖕": [
+ "ㄗㄨ3"
+ ],
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+ "ㄒㄧㄚ2"
+ ],
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+ "ㄧㄢ2"
+ ],
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+ "ㄊㄨ2"
+ ],
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+ "ㄊㄧ1"
+ ],
+ "䖚": [
+ "ㄨ1"
+ ],
+ "䖛": [
+ "ㄙㄨㄛ3"
+ ],
+ "䖜": [
+ "ㄧㄣ2"
+ ],
+ "䖝": [
+ "ㄔㄨㄥ2"
+ ],
+ "䖞": [
+ "ㄓㄡ3"
+ ],
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+ "ㄇㄤ3"
+ ],
+ "䖠": [
+ "ㄩㄢ2"
+ ],
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+ "ㄋㄩ4"
+ ],
+ "䖢": [
+ "ㄇㄧㄠ2"
+ ],
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+ "ㄗㄠ3"
+ ],
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+ "ㄨㄢ3"
+ ],
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+ "ㄌㄧ2"
+ ],
+ "䖦": [
+ "ㄑㄩ1",
+ "ㄓㄨㄛ1"
+ ],
+ "䖧": [
+ "ㄋㄚ4"
+ ],
+ "䖨": [
+ "ㄕ2",
+ "ㄓ4"
+ ],
+ "䖩": [
+ "ㄅㄧ4"
+ ],
+ "䖪": [
+ "ㄗ1",
+ "ㄘ1"
+ ],
+ "䖫": [
+ "ㄅㄤ4"
+ ],
+ "䖭": [
+ "ㄐㄩㄢ4",
+ "ㄐㄩㄢ1"
+ ],
+ "䖮": [
+ "ㄒㄧㄤ3"
+ ],
+ "䖯": [
+ "ㄎㄨㄟ2",
+ "ㄨㄚ1"
+ ],
+ "䖰": [
+ "ㄆㄞ4"
+ ],
+ "䖱": [
+ "ㄎㄨㄤ1"
+ ],
+ "䖲": [
+ "ㄒㄩㄣ2",
+ "ㄗㄨㄥ1"
+ ],
+ "䖳": [
+ "ㄓㄚ4",
+ "ㄓㄜ2"
+ ],
+ "䖴": [
+ "ㄧㄠ2"
+ ],
+ "䖵": [
+ "ㄎㄨㄣ1"
+ ],
+ "䖶": [
+ "ㄏㄨㄟ1"
+ ],
+ "䖷": [
+ "ㄒㄧ1"
+ ],
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+ "ㄜ2"
+ ],
+ "䖹": [
+ "ㄧㄤ2",
+ "ㄇㄧ3"
+ ],
+ "䖺": [
+ "ㄊㄧㄠ2"
+ ],
+ "䖻": [
+ "ㄧㄡ2"
+ ],
+ "䖼": [
+ "ㄐㄩㄝ2"
+ ],
+ "䖽": [
+ "ㄌㄧ2"
+ ],
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+ "ㄌㄧ2"
+ ],
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+ "ㄔㄥ1"
+ ],
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+ "ㄐㄧ4",
+ "ㄑㄧ1"
+ ],
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+ "ㄏㄨ3"
+ ],
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+ "ㄓㄢ4"
+ ],
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+ "ㄈㄨ3"
+ ],
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+ "ㄔㄤ2"
+ ],
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+ "ㄍㄨㄢ3",
+ "ㄍㄨㄢ1"
+ ],
+ "䗇": [
+ "ㄐㄩ2",
+ "ㄑㄩ1"
+ ],
+ "䗈": [
+ "ㄇㄥ2"
+ ],
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+ "ㄔㄤ1"
+ ],
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+ "ㄊㄢ4"
+ ],
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+ "ㄇㄡ2"
+ ],
+ "䗌": [
+ "ㄒㄧㄥ1"
+ ],
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+ "ㄌㄧ3",
+ "ㄌㄨㄛ2"
+ ],
+ "䗎": [
+ "ㄧㄢ1"
+ ],
+ "䗏": [
+ "ㄙㄡ1"
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+ "ㄕ1"
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+ "䗑": [
+ "ㄧ4"
+ ],
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+ ],
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+ "ㄘㄨㄥ1"
+ ],
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+ "ㄏㄡ2",
+ "ㄏㄡ4"
+ ],
+ "䗕": [
+ "ㄨㄢ3"
+ ],
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+ "ㄉㄧ4"
+ ],
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+ "ㄐㄧ1"
+ ],
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+ "ㄍㄜ2"
+ ],
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+ "ㄏㄢ2"
+ ],
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+ "ㄅㄛ2"
+ ],
+ "䗛": [
+ "ㄒㄧㄡ1"
+ ],
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+ "ㄌㄧㄡ2"
+ ],
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+ "ㄘㄢ2"
+ ],
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+ "ㄘㄢ2"
+ ],
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+ "ㄧ4"
+ ],
+ "䗠": [
+ "ㄒㄩㄢ2"
+ ],
+ "䗡": [
+ "ㄧㄢ2",
+ "ㄧㄢ1"
+ ],
+ "䗢": [
+ "ㄗㄠ3"
+ ],
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+ "ㄏㄢ4"
+ ],
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+ "ㄩㄥ2"
+ ],
+ "䗥": [
+ "ㄗㄨㄥ1"
+ ],
+ "䗧": [
+ "ㄎㄤ1"
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+ "ㄩ2"
+ ],
+ "䗩": [
+ "ㄑㄧ1"
+ ],
+ "䗪": [
+ "ㄓㄜ4"
+ ],
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+ "ㄇㄚ2"
+ ],
+ "䗮": [
+ "ㄕㄨㄤ3"
+ ],
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+ "ㄐㄧㄣ4"
+ ],
+ "䗰": [
+ "ㄍㄨㄢ4"
+ ],
+ "䗱": [
+ "ㄆㄨ2",
+ "ㄆㄨ4",
+ "ㄆㄨ3"
+ ],
+ "䗲": [
+ "ㄌㄧㄣ4"
+ ],
+ "䗴": [
+ "ㄊㄧㄥ2"
+ ],
+ "䗵": [
+ "ㄐㄧㄤ1"
+ ],
+ "䗶": [
+ "ㄌㄚ4"
+ ],
+ "䗷": [
+ "ㄧ4"
+ ],
+ "䗸": [
+ "ㄩㄥ1"
+ ],
+ "䗹": [
+ "ㄘ4"
+ ],
+ "䗺": [
+ "ㄧㄢ3",
+ "ㄉㄢ4"
+ ],
+ "䗻": [
+ "ㄐㄧㄝ2"
+ ],
+ "䗼": [
+ "ㄒㄩㄣ1"
+ ],
+ "䗽": [
+ "ㄨㄟ4"
+ ],
+ "䗾": [
+ "ㄒㄧㄢ3"
+ ],
+ "䗿": [
+ "ㄋㄧㄥ2",
+ "ㄋㄧㄥ3"
+ ],
+ "䘀": [
+ "ㄈㄨ4"
+ ],
+ "䘁": [
+ "ㄍㄜ2"
+ ],
+ "䘃": [
+ "ㄇㄛ4"
+ ],
+ "䘄": [
+ "ㄓㄨ4"
+ ],
+ "䘅": [
+ "ㄋㄞ2"
+ ],
+ "䘆": [
+ "ㄒㄧㄢ3"
+ ],
+ "䘇": [
+ "ㄨㄣ2"
+ ],
+ "䘈": [
+ "ㄌㄧ4"
+ ],
+ "䘉": [
+ "ㄘㄢ2"
+ ],
+ "䘊": [
+ "ㄇㄧㄝ4"
+ ],
+ "䘋": [
+ "ㄐㄧㄢ1"
+ ],
+ "䘌": [
+ "ㄋㄧ4"
+ ],
+ "䘍": [
+ "ㄔㄞ4"
+ ],
+ "䘎": [
+ "ㄨㄢ1"
+ ],
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+ "ㄒㄩ4"
+ ],
+ "䘐": [
+ "ㄋㄩ4"
+ ],
+ "䘑": [
+ "ㄇㄞ4"
+ ],
+ "䘒": [
+ "ㄗㄨㄟ1"
+ ],
+ "䘓": [
+ "ㄎㄢ4"
+ ],
+ "䘔": [
+ "ㄎㄚ1"
+ ],
+ "䘕": [
+ "ㄏㄤ2"
+ ],
+ "䘘": [
+ "ㄩ4",
+ "ㄙㄨ4"
+ ],
+ "䘙": [
+ "ㄨㄟ4"
+ ],
+ "䘚": [
+ "ㄓㄨ2"
+ ],
+ "䘝": [
+ "ㄧ4"
+ ],
+ "䘟": [
+ "ㄉㄧㄠ1"
+ ],
+ "䘠": [
+ "ㄈㄨ2"
+ ],
+ "䘡": [
+ "ㄅㄧ3"
+ ],
+ "䘢": [
+ "ㄓㄨ3"
+ ],
+ "䘣": [
+ "ㄗ3",
+ "ㄓ4"
+ ],
+ "䘤": [
+ "ㄕㄨ4"
+ ],
+ "䘥": [
+ "ㄒㄧㄚ2",
+ "ㄐㄧㄚ2"
+ ],
+ "䘦": [
+ "ㄋㄧ2",
+ "ㄋㄧ3"
+ ],
+ "䘨": [
+ "ㄐㄧㄠ3"
+ ],
+ "䘩": [
+ "ㄒㄩㄣ2",
+ "ㄒㄩㄢ4"
+ ],
+ "䘪": [
+ "ㄔㄨㄥ1"
+ ],
+ "䘫": [
+ "ㄋㄡ4"
+ ],
+ "䘬": [
+ "ㄖㄨㄥ2"
+ ],
+ "䘭": [
+ "ㄓ4"
+ ],
+ "䘮": [
+ "ㄙㄤ1",
+ "ㄙㄤ4"
+ ],
+ "䘰": [
+ "ㄕㄢ1"
+ ],
+ "䘱": [
+ "ㄩ4"
+ ],
+ "䘳": [
+ "ㄐㄧㄣ1"
+ ],
+ "䘵": [
+ "ㄌㄨ4"
+ ],
+ "䘶": [
+ "ㄏㄢ1",
+ "ㄏㄢ4"
+ ],
+ "䘷": [
+ "ㄅㄧㄝ1"
+ ],
+ "䘸": [
+ "ㄧ4"
+ ],
+ "䘹": [
+ "ㄗㄨㄟ4",
+ "ㄘㄨㄟ4"
+ ],
+ "䘺": [
+ "ㄓㄢ4"
+ ],
+ "䘻": [
+ "ㄩ4"
+ ],
+ "䘼": [
+ "ㄨㄢ3"
+ ],
+ "䘽": [
+ "ㄋㄧ2"
+ ],
+ "䘾": [
+ "ㄍㄨㄢ3",
+ "ㄍㄨㄢ4"
+ ],
+ "䘿": [
+ "ㄐㄩㄝ2"
+ ],
+ "䙀": [
+ "ㄅㄥ3"
+ ],
+ "䙁": [
+ "ㄘㄢ2"
+ ],
+ "䙃": [
+ "ㄉㄨㄛ4"
+ ],
+ "䙄": [
+ "ㄑㄧ4",
+ "ㄓㄚ3"
+ ],
+ "䙅": [
+ "ㄧㄠ1",
+ "ㄧㄠ4"
+ ],
+ "䙆": [
+ "ㄎㄨㄟ4"
+ ],
+ "䙇": [
+ "ㄖㄨㄢ2",
+ "ㄋㄨㄢ3"
+ ],
+ "䙈": [
+ "ㄏㄡ2"
+ ],
+ "䙉": [
+ "ㄒㄩㄣ2"
+ ],
+ "䙊": [
+ "ㄒㄧㄝ4"
+ ],
+ "䙌": [
+ "ㄎㄨㄟ4"
+ ],
+ "䙎": [
+ "ㄒㄧㄝ2",
+ "ㄒㄧ4"
+ ],
+ "䙏": [
+ "ㄅㄛ2"
+ ],
+ "䙐": [
+ "ㄎㄜ4"
+ ],
+ "䙑": [
+ "ㄘㄨㄟ1"
+ ],
+ "䙒": [
+ "ㄒㄩ4"
+ ],
+ "䙓": [
+ "ㄅㄞ3"
+ ],
+ "䙔": [
+ "ㄡ1"
+ ],
+ "䙕": [
+ "ㄗㄨㄥ3"
+ ],
+ "䙗": [
+ "ㄊㄧ4"
+ ],
+ "䙘": [
+ "ㄔㄨ3",
+ "ㄗㄨ2"
+ ],
+ "䙙": [
+ "ㄔ2"
+ ],
+ "䙚": [
+ "ㄋㄧㄠ3"
+ ],
+ "䙛": [
+ "ㄍㄨㄢ4"
+ ],
+ "䙜": [
+ "ㄈㄥ2"
+ ],
+ "䙝": [
+ "ㄒㄧㄝ4"
+ ],
+ "䙞": [
+ "ㄉㄥ1"
+ ],
+ "䙟": [
+ "ㄨㄟ2"
+ ],
+ "䙠": [
+ "ㄐㄩㄝ2"
+ ],
+ "䙡": [
+ "ㄎㄨㄟ4",
+ "ㄏㄨㄟ4"
+ ],
+ "䙢": [
+ "ㄗㄥ4"
+ ],
+ "䙣": [
+ "ㄙㄚ4"
+ ],
+ "䙤": [
+ "ㄉㄨㄛ3"
+ ],
+ "䙥": [
+ "ㄌㄧㄥ2"
+ ],
+ "䙦": [
+ "ㄇㄥ2"
+ ],
+ "䙨": [
+ "ㄍㄨㄛ3"
+ ],
+ "䙩": [
+ "ㄇㄥ2"
+ ],
+ "䙪": [
+ "ㄌㄨㄥ2"
+ ],
+ "䙬": [
+ "ㄧㄥ4"
+ ],
+ "䙮": [
+ "ㄍㄨㄢ4"
+ ],
+ "䙯": [
+ "ㄘㄨ4"
+ ],
+ "䙰": [
+ "ㄌㄧ2"
+ ],
+ "䙱": [
+ "ㄉㄨ2"
+ ],
+ "䙳": [
+ "ㄅㄧㄠ1",
+ "ㄜ4"
+ ],
+ "䙴": [
+ "ㄑㄧㄢ1"
+ ],
+ "䙵": [
+ "ㄒㄧ1"
+ ],
+ "䙷": [
+ "ㄉㄜ2"
+ ],
+ "䙸": [
+ "ㄉㄜ2"
+ ],
+ "䙹": [
+ "ㄒㄧㄢ4"
+ ],
+ "䙺": [
+ "ㄌㄧㄢ2"
+ ],
+ "䙼": [
+ "ㄕㄠ4",
+ "ㄐㄧㄠ1"
+ ],
+ "䙽": [
+ "ㄒㄧㄝ2"
+ ],
+ "䙾": [
+ "ㄕ1"
+ ],
+ "䙿": [
+ "ㄨㄟ4"
+ ],
+ "䚂": [
+ "ㄏㄜ4"
+ ],
+ "䚃": [
+ "ㄧㄡ2"
+ ],
+ "䚄": [
+ "ㄌㄨ4"
+ ],
+ "䚅": [
+ "ㄌㄞ4",
+ "ㄌㄞ2"
+ ],
+ "䚆": [
+ "ㄧㄥ3"
+ ],
+ "䚇": [
+ "ㄕㄥ3"
+ ],
+ "䚈": [
+ "ㄐㄩㄢ4"
+ ],
+ "䚉": [
+ "ㄑㄧ4"
+ ],
+ "䚊": [
+ "ㄐㄧㄢ3"
+ ],
+ "䚋": [
+ "ㄩㄣ4"
+ ],
+ "䚍": [
+ "ㄑㄧ4"
+ ],
+ "䚏": [
+ "ㄌㄧㄣ4"
+ ],
+ "䚐": [
+ "ㄐㄧ2"
+ ],
+ "䚑": [
+ "ㄇㄞ2"
+ ],
+ "䚒": [
+ "ㄔㄨㄤ2",
+ "ㄓㄨㄤ4"
+ ],
+ "䚓": [
+ "ㄋㄧㄢ3"
+ ],
+ "䚔": [
+ "ㄅㄧㄣ1"
+ ],
+ "䚕": [
+ "ㄌㄧ4"
+ ],
+ "䚖": [
+ "ㄌㄧㄥ2"
+ ],
+ "䚗": [
+ "ㄍㄤ1"
+ ],
+ "䚘": [
+ "ㄔㄥ2"
+ ],
+ "䚙": [
+ "ㄒㄩㄢ1",
+ "ㄒㄧ1"
+ ],
+ "䚚": [
+ "ㄒㄧㄢ3"
+ ],
+ "䚛": [
+ "ㄏㄨ2"
+ ],
+ "䚜": [
+ "ㄅㄧ1",
+ "ㄅㄟ1"
+ ],
+ "䚝": [
+ "ㄗㄨ2"
+ ],
+ "䚞": [
+ "ㄉㄞ3"
+ ],
+ "䚟": [
+ "ㄉㄞ3"
+ ],
+ "䚠": [
+ "ㄏㄨㄣ4",
+ "ㄏㄨㄣ2"
+ ],
+ "䚡": [
+ "ㄙㄞ1"
+ ],
+ "䚢": [
+ "ㄔㄜ4"
+ ],
+ "䚣": [
+ "ㄊㄧ2"
+ ],
+ "䚥": [
+ "ㄋㄨㄛ4",
+ "ㄖㄨㄛ4"
+ ],
+ "䚦": [
+ "ㄓ4"
+ ],
+ "䚧": [
+ "ㄌㄧㄡ2"
+ ],
+ "䚨": [
+ "ㄈㄟ4"
+ ],
+ "䚩": [
+ "ㄐㄧㄠ3",
+ "ㄐㄧㄠ4",
+ "ㄑㄧㄠ2"
+ ],
+ "䚪": [
+ "ㄍㄨㄢ1"
+ ],
+ "䚫": [
+ "ㄒㄧ2",
+ "ㄠ2"
+ ],
+ "䚬": [
+ "ㄌㄧㄣ2"
+ ],
+ "䚭": [
+ "ㄒㄩㄢ1"
+ ],
+ "䚮": [
+ "ㄖㄥ2"
+ ],
+ "䚯": [
+ "ㄊㄠ3",
+ "ㄒㄩㄢ1"
+ ],
+ "䚰": [
+ "ㄆㄧ3",
+ "ㄜ2"
+ ],
+ "䚱": [
+ "ㄒㄧㄣ4"
+ ],
+ "䚲": [
+ "ㄕㄢ4"
+ ],
+ "䚳": [
+ "ㄓ4"
+ ],
+ "䚴": [
+ "ㄨㄚ4"
+ ],
+ "䚵": [
+ "ㄊㄡ3"
+ ],
+ "䚶": [
+ "ㄊㄧㄢ1"
+ ],
+ "䚷": [
+ "ㄧ1",
+ "ㄧ3",
+ "ㄒㄧ4"
+ ],
+ "䚸": [
+ "ㄒㄧㄝ4"
+ ],
+ "䚹": [
+ "ㄆㄧ3"
+ ],
+ "䚺": [
+ "ㄧㄠ2"
+ ],
+ "䚻": [
+ "ㄧㄠ2",
+ "ㄧㄡ2"
+ ],
+ "䚼": [
+ "ㄋㄩ4"
+ ],
+ "䚽": [
+ "ㄏㄠ4"
+ ],
+ "䚾": [
+ "ㄖㄣ2",
+ "ㄋㄧㄣ2"
+ ],
+ "䚿": [
+ "ㄧㄣ4",
+ "ㄒㄧ1"
+ ],
+ "䛀": [
+ "ㄈㄢ3",
+ "ㄈㄢ4",
+ "ㄅㄢ4"
+ ],
+ "䛁": [
+ "ㄋㄢ2"
+ ],
+ "䛂": [
+ "ㄧㄠ1"
+ ],
+ "䛃": [
+ "ㄨㄢ4"
+ ],
+ "䛄": [
+ "ㄩㄢ3"
+ ],
+ "䛅": [
+ "ㄒㄧㄚ2"
+ ],
+ "䛆": [
+ "ㄓㄡ4"
+ ],
+ "䛇": [
+ "ㄩㄢ3"
+ ],
+ "䛈": [
+ "ㄕ4"
+ ],
+ "䛉": [
+ "ㄇㄧㄢ4"
+ ],
+ "䛊": [
+ "ㄒㄧ1",
+ "ㄓ1"
+ ],
+ "䛋": [
+ "ㄐㄧ4"
+ ],
+ "䛌": [
+ "ㄊㄠ2",
+ "ㄆㄠ2"
+ ],
+ "䛍": [
+ "ㄈㄟ4"
+ ],
+ "䛎": [
+ "ㄒㄩㄝ4"
+ ],
+ "䛏": [
+ "ㄋㄧ2",
+ "ㄋㄧ3",
+ "ㄋㄧ4"
+ ],
+ "䛐": [
+ "ㄘ2"
+ ],
+ "䛑": [
+ "ㄇㄧ4"
+ ],
+ "䛒": [
+ "ㄅㄧㄢ4"
+ ],
+ "䛔": [
+ "ㄋㄚ2"
+ ],
+ "䛕": [
+ "ㄩ4"
+ ],
+ "䛖": [
+ "ㄜ4"
+ ],
+ "䛗": [
+ "ㄓ3"
+ ],
+ "䛘": [
+ "ㄖㄣ2",
+ "ㄋㄧㄣ2"
+ ],
+ "䛙": [
+ "ㄒㄩ4"
+ ],
+ "䛚": [
+ "ㄌㄩㄝ4"
+ ],
+ "䛛": [
+ "ㄏㄨㄟ4"
+ ],
+ "䛜": [
+ "ㄒㄩㄣ4"
+ ],
+ "䛝": [
+ "ㄋㄠ2"
+ ],
+ "䛞": [
+ "ㄏㄢ4"
+ ],
+ "䛟": [
+ "ㄐㄧㄚ2"
+ ],
+ "䛠": [
+ "ㄉㄡ4"
+ ],
+ "䛡": [
+ "ㄏㄨㄚ4"
+ ],
+ "䛢": [
+ "ㄊㄨ1"
+ ],
+ "䛣": [
+ "ㄆㄧㄥ1",
+ "ㄔㄡ1"
+ ],
+ "䛤": [
+ "ㄘㄨ4"
+ ],
+ "䛥": [
+ "ㄒㄧ1",
+ "ㄒㄧ4",
+ "ㄒㄧㄣ1"
+ ],
+ "䛦": [
+ "ㄙㄨㄥ4"
+ ],
+ "䛧": [
+ "ㄇㄧ2"
+ ],
+ "䛨": [
+ "ㄒㄧㄣ4"
+ ],
+ "䛩": [
+ "ㄨ4",
+ "ㄑㄧㄚ4",
+ "ㄜ4"
+ ],
+ "䛪": [
+ "ㄑㄩㄥ2"
+ ],
+ "䛫": [
+ "ㄓㄤ1",
+ "ㄓㄥ4"
+ ],
+ "䛬": [
+ "ㄊㄠ2"
+ ],
+ "䛭": [
+ "ㄒㄧㄥ4"
+ ],
+ "䛮": [
+ "ㄐㄧㄡ4"
+ ],
+ "䛯": [
+ "ㄐㄩ4"
+ ],
+ "䛰": [
+ "ㄏㄨㄣ4"
+ ],
+ "䛱": [
+ "ㄊㄧ2"
+ ],
+ "䛲": [
+ "ㄇㄢ2"
+ ],
+ "䛳": [
+ "ㄧㄢ4",
+ "ㄧㄢ1"
+ ],
+ "䛴": [
+ "ㄐㄧ1",
+ "ㄑㄧ3"
+ ],
+ "䛵": [
+ "ㄕㄡ4"
+ ],
+ "䛶": [
+ "ㄌㄟ3"
+ ],
+ "䛷": [
+ "ㄨㄢ3"
+ ],
+ "䛸": [
+ "ㄔㄜ4"
+ ],
+ "䛹": [
+ "ㄘㄢ4",
+ "ㄒㄩㄢ4"
+ ],
+ "䛺": [
+ "ㄐㄧㄝ4"
+ ],
+ "䛻": [
+ "ㄧㄡ4"
+ ],
+ "䛼": [
+ "ㄏㄨㄟ3"
+ ],
+ "䛽": [
+ "ㄓㄚ3",
+ "ㄔㄚ1",
+ "ㄙㄚ4"
+ ],
+ "䛾": [
+ "ㄙㄨ4"
+ ],
+ "䛿": [
+ "ㄍㄜ2"
+ ],
+ "䜀": [
+ "ㄋㄠ3"
+ ],
+ "䜁": [
+ "ㄒㄧ4"
+ ],
+ "䜃": [
+ "ㄉㄨㄟ1"
+ ],
+ "䜄": [
+ "ㄔ2"
+ ],
+ "䜅": [
+ "ㄨㄟ2",
+ "ㄔㄨㄟ1"
+ ],
+ "䜆": [
+ "ㄓㄜ2",
+ "ㄋㄧㄝ4",
+ "ㄇㄛ4"
+ ],
+ "䜇": [
+ "ㄍㄨㄣ3",
+ "ㄍㄨㄣ4"
+ ],
+ "䜈": [
+ "ㄔㄠ1",
+ "ㄓㄠ1"
+ ],
+ "䜉": [
+ "ㄔ1"
+ ],
+ "䜊": [
+ "ㄗㄠ1",
+ "ㄗㄠ4"
+ ],
+ "䜋": [
+ "ㄏㄨㄟ4"
+ ],
+ "䜌": [
+ "ㄌㄨㄢ2"
+ ],
+ "䜍": [
+ "ㄌㄧㄠ2"
+ ],
+ "䜎": [
+ "ㄌㄠ2",
+ "ㄌㄠ4"
+ ],
+ "䜏": [
+ "ㄊㄨㄛ1"
+ ],
+ "䜐": [
+ "ㄏㄨㄟ1"
+ ],
+ "䜑": [
+ "ㄨ4"
+ ],
+ "䜒": [
+ "ㄠ4"
+ ],
+ "䜓": [
+ "ㄕㄜ4"
+ ],
+ "䜔": [
+ "ㄙㄨㄟ2"
+ ],
+ "䜕": [
+ "ㄇㄞ4",
+ "ㄏㄞ4"
+ ],
+ "䜖": [
+ "ㄊㄢ4"
+ ],
+ "䜗": [
+ "ㄒㄧㄣ4",
+ "ㄏㄢ4"
+ ],
+ "䜘": [
+ "ㄐㄧㄥ3"
+ ],
+ "䜙": [
+ "ㄢ2",
+ "ㄜ4"
+ ],
+ "䜚": [
+ "ㄊㄚ4"
+ ],
+ "䜛": [
+ "ㄔㄢ2"
+ ],
+ "䜜": [
+ "ㄨㄟ4"
+ ],
+ "䜝": [
+ "ㄊㄨㄢ3"
+ ],
+ "䜞": [
+ "ㄐㄧ4"
+ ],
+ "䜟": [
+ "ㄔㄣ2"
+ ],
+ "䜠": [
+ "ㄔㄜ4"
+ ],
+ "䜡": [
+ "ㄩ4"
+ ],
+ "䜢": [
+ "ㄒㄧㄢ3"
+ ],
+ "䜣": [
+ "ㄒㄧㄣ1"
+ ],
+ "䜧": [
+ "ㄋㄠ3"
+ ],
+ "䜩": [
+ "ㄧㄢ4"
+ ],
+ "䜪": [
+ "ㄑㄧㄡ2"
+ ],
+ "䜫": [
+ "ㄐㄧㄤ1",
+ "ㄏㄨㄥ2"
+ ],
+ "䜬": [
+ "ㄙㄨㄥ3"
+ ],
+ "䜭": [
+ "ㄐㄩㄣ4",
+ "ㄖㄨㄟ4"
+ ],
+ "䜮": [
+ "ㄌㄧㄠ2",
+ "ㄌㄠ2"
+ ],
+ "䜯": [
+ "ㄐㄩ2"
+ ],
+ "䜱": [
+ "ㄇㄢ3"
+ ],
+ "䜲": [
+ "ㄌㄧㄝ4"
+ ],
+ "䜴": [
+ "ㄔㄨ4",
+ "ㄕ4"
+ ],
+ "䜵": [
+ "ㄔ3"
+ ],
+ "䜶": [
+ "ㄒㄧㄤ2"
+ ],
+ "䜷": [
+ "ㄑㄧㄣ1"
+ ],
+ "䜸": [
+ "ㄇㄟ3",
+ "ㄇㄟ2"
+ ],
+ "䜹": [
+ "ㄕㄨ4"
+ ],
+ "䜺": [
+ "ㄔㄞ3",
+ "ㄘㄜ4"
+ ],
+ "䜻": [
+ "ㄔ3"
+ ],
+ "䜼": [
+ "ㄍㄨ2",
+ "ㄇㄡ2"
+ ],
+ "䜽": [
+ "ㄩ2"
+ ],
+ "䜾": [
+ "ㄧㄣ1"
+ ],
+ "䝀": [
+ "ㄌㄧㄡ2",
+ "ㄌㄧㄠ2"
+ ],
+ "䝁": [
+ "ㄌㄠ2"
+ ],
+ "䝂": [
+ "ㄕㄨ4"
+ ],
+ "䝃": [
+ "ㄓㄜ2"
+ ],
+ "䝄": [
+ "ㄕㄨㄤ1"
+ ],
+ "䝅": [
+ "ㄏㄨㄟ1"
+ ],
+ "䝈": [
+ "ㄜ4"
+ ],
+ "䝊": [
+ "ㄕㄚ4"
+ ],
+ "䝋": [
+ "ㄗㄨㄥ4"
+ ],
+ "䝌": [
+ "ㄐㄩㄝ2"
+ ],
+ "䝍": [
+ "ㄐㄩㄣ4",
+ "ㄐㄩㄣ1"
+ ],
+ "䝎": [
+ "ㄊㄨㄢ1"
+ ],
+ "䝏": [
+ "ㄌㄡ2"
+ ],
+ "䝐": [
+ "ㄨㄟ2",
+ "ㄉㄨㄛ4"
+ ],
+ "䝑": [
+ "ㄔㄨㄥ1"
+ ],
+ "䝒": [
+ "ㄓㄨ4"
+ ],
+ "䝓": [
+ "ㄌㄧㄝ4"
+ ],
+ "䝕": [
+ "ㄓㄜ2"
+ ],
+ "䝖": [
+ "ㄓㄠ3"
+ ],
+ "䝘": [
+ "ㄧ4"
+ ],
+ "䝙": [
+ "ㄔㄨ1"
+ ],
+ "䝚": [
+ "ㄋㄧ2"
+ ],
+ "䝛": [
+ "ㄅㄛ1"
+ ],
+ "䝜": [
+ "ㄙㄨㄢ1"
+ ],
+ "䝝": [
+ "ㄧ3"
+ ],
+ "䝞": [
+ "ㄏㄠ4"
+ ],
+ "䝟": [
+ "ㄧㄚ4"
+ ],
+ "䝠": [
+ "ㄏㄨㄢ2"
+ ],
+ "䝡": [
+ "ㄇㄢ4"
+ ],
+ "䝢": [
+ "ㄇㄢ4"
+ ],
+ "䝣": [
+ "ㄑㄩ2"
+ ],
+ "䝤": [
+ "ㄌㄠ3",
+ "ㄌㄧㄠ2"
+ ],
+ "䝥": [
+ "ㄏㄠ2"
+ ],
+ "䝦": [
+ "ㄓㄨㄥ1"
+ ],
+ "䝧": [
+ "ㄇㄧㄣ2"
+ ],
+ "䝨": [
+ "ㄒㄧㄢ2"
+ ],
+ "䝩": [
+ "ㄓㄣ4"
+ ],
+ "䝪": [
+ "ㄕㄨ3"
+ ],
+ "䝫": [
+ "ㄗㄨㄛ2"
+ ],
+ "䝬": [
+ "ㄓㄨ4"
+ ],
+ "䝭": [
+ "ㄍㄡ4"
+ ],
+ "䝮": [
+ "ㄒㄩㄢ4"
+ ],
+ "䝯": [
+ "ㄧ4"
+ ],
+ "䝰": [
+ "ㄓ4"
+ ],
+ "䝱": [
+ "ㄒㄧㄝ2"
+ ],
+ "䝲": [
+ "ㄐㄧㄣ4"
+ ],
+ "䝳": [
+ "ㄘㄢ2",
+ "ㄏㄞ4"
+ ],
+ "䝵": [
+ "ㄅㄨ4"
+ ],
+ "䝶": [
+ "ㄌㄧㄤ2"
+ ],
+ "䝷": [
+ "ㄓ1",
+ "ㄓ4"
+ ],
+ "䝸": [
+ "ㄐㄧ4"
+ ],
+ "䝹": [
+ "ㄨㄢ3"
+ ],
+ "䝺": [
+ "ㄍㄨㄢ4"
+ ],
+ "䝻": [
+ "ㄐㄩ1"
+ ],
+ "䝼": [
+ "ㄐㄧㄥ4",
+ "ㄑㄧㄥ2"
+ ],
+ "䝽": [
+ "ㄞ4"
+ ],
+ "䝾": [
+ "ㄈㄨ4"
+ ],
+ "䝿": [
+ "ㄍㄨㄟ4"
+ ],
+ "䞀": [
+ "ㄏㄡ4"
+ ],
+ "䞁": [
+ "ㄧㄢ4"
+ ],
+ "䞂": [
+ "ㄖㄨㄢ3"
+ ],
+ "䞃": [
+ "ㄓ4"
+ ],
+ "䞄": [
+ "ㄅㄧㄠ4"
+ ],
+ "䞅": [
+ "ㄧ2"
+ ],
+ "䞆": [
+ "ㄙㄨㄛ3"
+ ],
+ "䞇": [
+ "ㄉㄧㄝ2"
+ ],
+ "䞈": [
+ "ㄍㄨㄟ4"
+ ],
+ "䞉": [
+ "ㄕㄥ4"
+ ],
+ "䞊": [
+ "ㄒㄩㄣ4"
+ ],
+ "䞋": [
+ "ㄔㄣ4"
+ ],
+ "䞌": [
+ "ㄕㄜ2"
+ ],
+ "䞍": [
+ "ㄑㄧㄥ2"
+ ],
+ "䞐": [
+ "ㄔㄨㄣ3"
+ ],
+ "䞑": [
+ "ㄏㄨㄥ2"
+ ],
+ "䞒": [
+ "ㄉㄨㄥ4"
+ ],
+ "䞓": [
+ "ㄔㄥ1"
+ ],
+ "䞔": [
+ "ㄨㄟ3"
+ ],
+ "䞕": [
+ "ㄖㄨ2",
+ "ㄩ2"
+ ],
+ "䞖": [
+ "ㄕㄨ3"
+ ],
+ "䞗": [
+ "ㄘㄞ1",
+ "ㄔㄞ1"
+ ],
+ "䞘": [
+ "ㄐㄧ2"
+ ],
+ "䞙": [
+ "ㄗㄚ2"
+ ],
+ "䞚": [
+ "ㄑㄧ2",
+ "ㄎㄨㄟ2"
+ ],
+ "䞛": [
+ "ㄧㄢ1"
+ ],
+ "䞜": [
+ "ㄈㄨ4"
+ ],
+ "䞝": [
+ "ㄩ4"
+ ],
+ "䞞": [
+ "ㄈㄨ2"
+ ],
+ "䞟": [
+ "ㄆㄛ4"
+ ],
+ "䞠": [
+ "ㄓ1"
+ ],
+ "䞡": [
+ "ㄊㄢ3"
+ ],
+ "䞢": [
+ "ㄗㄨㄛ2"
+ ],
+ "䞣": [
+ "ㄔㄜ3",
+ "ㄔㄜ4",
+ "ㄑㄧㄝ4"
+ ],
+ "䞤": [
+ "ㄑㄩ2",
+ "ㄈㄨ3",
+ "ㄑㄩ3"
+ ],
+ "䞥": [
+ "ㄧㄡ4"
+ ],
+ "䞦": [
+ "ㄏㄜ2"
+ ],
+ "䞧": [
+ "ㄏㄡ4"
+ ],
+ "䞨": [
+ "ㄍㄨㄟ3"
+ ],
+ "䞩": [
+ "ㄜ4",
+ "ㄒㄧㄚ2"
+ ],
+ "䞪": [
+ "ㄐㄧㄤ4"
+ ],
+ "䞫": [
+ "ㄩㄣ3"
+ ],
+ "䞬": [
+ "ㄊㄡ4"
+ ],
+ "䞭": [
+ "ㄘㄨㄣ1",
+ "ㄑㄧㄡ3"
+ ],
+ "䞮": [
+ "ㄊㄨ1"
+ ],
+ "䞯": [
+ "ㄈㄨ4",
+ "ㄈㄨ2"
+ ],
+ "䞰": [
+ "ㄗㄨㄛ2"
+ ],
+ "䞱": [
+ "ㄏㄨ2"
+ ],
+ "䞳": [
+ "ㄅㄛ2"
+ ],
+ "䞴": [
+ "ㄓㄠ1"
+ ],
+ "䞵": [
+ "ㄐㄩㄝ3",
+ "ㄓㄨㄛ4"
+ ],
+ "䞶": [
+ "ㄊㄤ1",
+ "ㄊㄤ4"
+ ],
+ "䞷": [
+ "ㄐㄩㄝ2"
+ ],
+ "䞸": [
+ "ㄈㄨ4"
+ ],
+ "䞹": [
+ "ㄏㄨㄤ2"
+ ],
+ "䞺": [
+ "ㄔㄨㄣ1"
+ ],
+ "䞻": [
+ "ㄩㄥ3"
+ ],
+ "䞼": [
+ "ㄔㄨㄟ3"
+ ],
+ "䞽": [
+ "ㄙㄨㄛ3"
+ ],
+ "䞾": [
+ "ㄔ2",
+ "ㄉㄧ4"
+ ],
+ "䞿": [
+ "ㄑㄧㄢ1"
+ ],
+ "䟀": [
+ "ㄘㄞ1"
+ ],
+ "䟁": [
+ "ㄒㄧㄠ1",
+ "ㄔㄠ1"
+ ],
+ "䟂": [
+ "ㄇㄢ2"
+ ],
+ "䟃": [
+ "ㄘㄢ1",
+ "ㄘㄚ4"
+ ],
+ "䟄": [
+ "ㄑㄧ4",
+ "ㄗㄨㄛ2",
+ "ㄗㄜ4"
+ ],
+ "䟅": [
+ "ㄐㄧㄢ4",
+ "ㄗㄢ4"
+ ],
+ "䟆": [
+ "ㄅㄧ4"
+ ],
+ "䟇": [
+ "ㄐㄧ1",
+ "ㄒㄧ1"
+ ],
+ "䟈": [
+ "ㄓ2"
+ ],
+ "䟉": [
+ "ㄓㄨ2",
+ "ㄕㄨ3"
+ ],
+ "䟊": [
+ "ㄑㄩ2"
+ ],
+ "䟋": [
+ "ㄓㄢ3"
+ ],
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+ ],
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+ "ㄉㄧㄢ2"
+ ],
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+ "ㄌㄧ4"
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+ ],
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+ ],
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+ "ㄑㄩㄢ2"
+ ],
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+ "ㄓㄥ1",
+ "ㄉㄧㄥ1"
+ ],
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+ "ㄈㄨ4",
+ "ㄅㄛ2"
+ ],
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+ "ㄔㄚ4"
+ ],
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+ "ㄊㄤ4"
+ ],
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+ "ㄕ4"
+ ],
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+ ],
+ "䟙": [
+ "ㄑㄧㄝ4"
+ ],
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+ "ㄑㄧ2"
+ ],
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+ "ㄅㄛ2",
+ "ㄈㄟ4",
+ "ㄅㄟ4"
+ ],
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+ "ㄋㄚ4"
+ ],
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+ "ㄊㄡ4"
+ ],
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+ "ㄔㄨ2"
+ ],
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+ ],
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+ "ㄩㄝ4"
+ ],
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+ "ㄉㄧ4"
+ ],
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+ ],
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+ "ㄔㄨ4"
+ ],
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+ "ㄅㄧ4",
+ "ㄅㄧㄝ2"
+ ],
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+ "ㄇㄥ2"
+ ],
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+ "ㄅㄚ2"
+ ],
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+ ],
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+ "ㄇㄧㄣ2",
+ "ㄇㄧㄣ3"
+ ],
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+ "ㄌㄧㄝ3",
+ "ㄑㄩㄝ4"
+ ],
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+ "ㄈㄥ3",
+ "ㄈㄢ3"
+ ],
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+ "ㄔㄥ1",
+ "ㄕㄤ4"
+ ],
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+ "ㄑㄧㄡ4"
+ ],
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+ "ㄊㄧㄠ2",
+ "ㄗㄨㄛ4"
+ ],
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+ "ㄈㄨ2",
+ "ㄅㄛ2"
+ ],
+ "䟯": [
+ "ㄎㄨㄛ4"
+ ],
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+ "ㄐㄧㄢ3"
+ ],
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+ "ㄓㄣ4"
+ ],
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+ "ㄑㄧㄡ2"
+ ],
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+ "ㄘㄨㄛ4"
+ ],
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+ "ㄔ4",
+ "ㄑㄧ4"
+ ],
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+ "ㄎㄨㄟ2",
+ "ㄍㄨㄟ1"
+ ],
+ "䟹": [
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+ ],
+ "䟺": [
+ "ㄅㄟ4",
+ "ㄆㄟ4"
+ ],
+ "䟻": [
+ "ㄉㄨ4",
+ "ㄓㄚ4"
+ ],
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+ "ㄨ3"
+ ],
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+ "ㄐㄩㄝ3"
+ ],
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+ "ㄌㄨ4"
+ ],
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+ "ㄔㄤ3",
+ "ㄊㄤ4"
+ ],
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+ "ㄔㄨ2"
+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄅㄧ3",
+ "ㄅㄞ1"
+ ],
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+ "ㄑㄧㄚ2",
+ "ㄑㄧㄝ2"
+ ],
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+ "ㄨㄛ4"
+ ],
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+ "ㄐㄧ4",
+ "ㄎㄨㄟ2"
+ ],
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+ "ㄑㄩ4"
+ ],
+ "䠑": [
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+ "ㄎㄨㄟ2",
+ "ㄨㄟ3"
+ ],
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+ "ㄏㄨ2"
+ ],
+ "䠓": [
+ "ㄑㄧㄡ1",
+ "ㄘㄨ4"
+ ],
+ "䠔": [
+ "ㄙㄨㄟ4"
+ ],
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+ "ㄘㄞ1"
+ ],
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+ "ㄑㄧㄡ4",
+ "ㄒㄩㄥ4"
+ ],
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+ "ㄆㄧ4"
+ ],
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+ "ㄆㄤ2"
+ ],
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+ "ㄨㄚ4",
+ "ㄨㄚ3"
+ ],
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+ "ㄧㄠ2"
+ ],
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+ "ㄖㄨㄥ3"
+ ],
+ "䠝": [
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+ ],
+ "䠞": [
+ "ㄘㄨ4"
+ ],
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+ "ㄉㄧㄝ2"
+ ],
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+ "ㄉㄞ4"
+ ],
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+ "ㄔㄚ2"
+ ],
+ "䠢": [
+ "ㄇㄥ4"
+ ],
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+ "ㄒㄩㄢ3"
+ ],
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+ "ㄉㄨㄛ4"
+ ],
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+ ],
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+ "ㄓㄜ4"
+ ],
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+ "ㄔㄨ2"
+ ],
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+ ],
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+ "ㄍㄨㄟ4"
+ ],
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+ "ㄉㄨㄢ4"
+ ],
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+ "ㄗㄡ4"
+ ],
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+ "ㄉㄥ4"
+ ],
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+ ],
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+ "ㄊㄥ2"
+ ],
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+ "ㄩㄝ4"
+ ],
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+ ],
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+ "ㄓㄨ2"
+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄎㄨㄚ1"
+ ],
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+ ],
+ "䠻": [
+ "ㄑㄩㄥ2"
+ ],
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+ "ㄕㄨ4"
+ ],
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+ "ㄏㄞ2",
+ "ㄎㄞ3"
+ ],
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+ "ㄕㄢ3"
+ ],
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+ "ㄎㄨㄟ4"
+ ],
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+ "ㄓㄢ4"
+ ],
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+ ],
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+ "ㄐㄧㄡ4"
+ ],
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+ "ㄌㄧ4"
+ ],
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+ "ㄒㄩㄣ2"
+ ],
+ "䡆": [
+ "ㄖㄨㄥ2"
+ ],
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+ ],
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+ "ㄐㄧㄠ4"
+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
+ "䡒": [
+ "ㄊㄧㄢ2"
+ ],
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+ "ㄐㄩㄢ4",
+ "ㄒㄩㄢ1"
+ ],
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+ "ㄑㄧ3"
+ ],
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+ "ㄓㄥ3"
+ ],
+ "䡖": [
+ "ㄑㄧㄥ4"
+ ],
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+ "ㄍㄨㄥ3",
+ "ㄍㄨㄥ4"
+ ],
+ "䡘": [
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+ ],
+ "䡙": [
+ "ㄌㄤ2"
+ ],
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+ "ㄇㄠ4"
+ ],
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+ "ㄧㄣ4"
+ ],
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+ "ㄌㄨ4"
+ ],
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+ "ㄩㄣ3"
+ ],
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+ "ㄐㄩ2"
+ ],
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+ "ㄆㄧ4"
+ ],
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+ "ㄒㄧㄝ2"
+ ],
+ "䡢": [
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+ ],
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+ "ㄏㄨㄣ1",
+ "ㄒㄩㄢ1"
+ ],
+ "䡤": [
+ "ㄓㄨ1"
+ ],
+ "䡥": [
+ "ㄖㄨㄥ2"
+ ],
+ "䡦": [
+ "ㄙㄤ3"
+ ],
+ "䡧": [
+ "ㄨ1",
+ "ㄨ3"
+ ],
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+ "ㄔㄚ4"
+ ],
+ "䡩": [
+ "ㄎㄥ1",
+ "ㄓㄣ3"
+ ],
+ "䡪": [
+ "ㄕㄢ4"
+ ],
+ "䡫": [
+ "ㄆㄥ2"
+ ],
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+ "ㄇㄢ4"
+ ],
+ "䡭": [
+ "ㄒㄧㄡ1"
+ ],
+ "䡯": [
+ "ㄘㄨㄥ1",
+ "ㄗㄨㄥ3"
+ ],
+ "䡰": [
+ "ㄎㄥ1",
+ "ㄎㄥ3",
+ "ㄍㄨ3"
+ ],
+ "䡱": [
+ "ㄓㄨㄢ3"
+ ],
+ "䡲": [
+ "ㄔㄢ2",
+ "ㄉㄢ1"
+ ],
+ "䡳": [
+ "ㄙ1"
+ ],
+ "䡴": [
+ "ㄔㄨㄥ1"
+ ],
+ "䡵": [
+ "ㄙㄨㄟ4"
+ ],
+ "䡶": [
+ "ㄅㄟ4"
+ ],
+ "䡷": [
+ "ㄎㄞ4",
+ "ㄎㄜ3"
+ ],
+ "䡹": [
+ "ㄓ4"
+ ],
+ "䡺": [
+ "ㄨㄟ4"
+ ],
+ "䡻": [
+ "ㄇㄧㄣ2"
+ ],
+ "䡼": [
+ "ㄌㄧㄥ2"
+ ],
+ "䡽": [
+ "ㄗㄨㄢ1"
+ ],
+ "䡾": [
+ "ㄋㄧㄝ4",
+ "ㄧㄝ4",
+ "ㄧ3"
+ ],
+ "䡿": [
+ "ㄌㄧㄥ2"
+ ],
+ "䢀": [
+ "ㄑㄧ4"
+ ],
+ "䢁": [
+ "ㄩㄝ4"
+ ],
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+ "ㄧ4"
+ ],
+ "䢄": [
+ "ㄒㄧ3"
+ ],
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+ "ㄔㄣ2"
+ ],
+ "䢇": [
+ "ㄖㄨㄥ3"
+ ],
+ "䢈": [
+ "ㄔㄣ2",
+ "ㄏㄨㄟ4"
+ ],
+ "䢉": [
+ "ㄋㄨㄥ2"
+ ],
+ "䢊": [
+ "ㄧㄡ2"
+ ],
+ "䢋": [
+ "ㄐㄧ4"
+ ],
+ "䢌": [
+ "ㄅㄛ2"
+ ],
+ "䢍": [
+ "ㄈㄤ3"
+ ],
+ "䢐": [
+ "ㄘㄨ2"
+ ],
+ "䢑": [
+ "ㄉㄧ3",
+ "ㄉㄧ4"
+ ],
+ "䢒": [
+ "ㄐㄧㄠ1"
+ ],
+ "䢓": [
+ "ㄩ2"
+ ],
+ "䢔": [
+ "ㄏㄜ2"
+ ],
+ "䢕": [
+ "ㄒㄩ4"
+ ],
+ "䢖": [
+ "ㄩ4",
+ "ㄌㄩ4"
+ ],
+ "䢗": [
+ "ㄑㄩ1"
+ ],
+ "䢙": [
+ "ㄅㄞ4"
+ ],
+ "䢚": [
+ "ㄍㄥ1",
+ "ㄏㄤ2"
+ ],
+ "䢛": [
+ "ㄐㄩㄥ3"
+ ],
+ "䢝": [
+ "ㄧㄚ4"
+ ],
+ "䢞": [
+ "ㄕㄨ4"
+ ],
+ "䢟": [
+ "ㄧㄡ2"
+ ],
+ "䢠": [
+ "ㄙㄨㄥ4"
+ ],
+ "䢡": [
+ "ㄧㄝ4",
+ "ㄒㄧㄝ4",
+ "ㄓㄨㄟ4"
+ ],
+ "䢢": [
+ "ㄘㄤ4"
+ ],
+ "䢣": [
+ "ㄧㄠ2"
+ ],
+ "䢤": [
+ "ㄕㄨ4"
+ ],
+ "䢥": [
+ "ㄧㄢ2"
+ ],
+ "䢦": [
+ "ㄕㄨㄞ4"
+ ],
+ "䢧": [
+ "ㄌㄧㄠ4"
+ ],
+ "䢨": [
+ "ㄘㄨㄥ1",
+ "ㄗㄨㄥ1"
+ ],
+ "䢩": [
+ "ㄩ4"
+ ],
+ "䢪": [
+ "ㄅㄛ2"
+ ],
+ "䢫": [
+ "ㄙㄨㄟ2"
+ ],
+ "䢭": [
+ "ㄧㄢ4",
+ "ㄒㄧㄢ4"
+ ],
+ "䢮": [
+ "ㄌㄟ4"
+ ],
+ "䢯": [
+ "ㄌㄧㄣ2"
+ ],
+ "䢰": [
+ "ㄊㄧ1"
+ ],
+ "䢱": [
+ "ㄉㄨ2"
+ ],
+ "䢲": [
+ "ㄩㄝ4"
+ ],
+ "䢳": [
+ "ㄐㄧ3"
+ ],
+ "䢵": [
+ "ㄩㄣ2"
+ ],
+ "䢸": [
+ "ㄐㄩ1"
+ ],
+ "䢹": [
+ "ㄐㄩ3",
+ "ㄑㄩ2"
+ ],
+ "䢺": [
+ "ㄔㄨ1"
+ ],
+ "䢻": [
+ "ㄔㄣ2"
+ ],
+ "䢼": [
+ "ㄍㄨㄥ1"
+ ],
+ "䢽": [
+ "ㄒㄧㄤ4"
+ ],
+ "䢾": [
+ "ㄒㄧㄢ3"
+ ],
+ "䢿": [
+ "ㄢ1"
+ ],
+ "䣀": [
+ "ㄍㄨㄟ3",
+ "ㄑㄧ1",
+ "ㄨㄟ2"
+ ],
+ "䣁": [
+ "ㄩ3"
+ ],
+ "䣂": [
+ "ㄌㄟ3"
+ ],
+ "䣄": [
+ "ㄊㄨ2"
+ ],
+ "䣅": [
+ "ㄔㄣ2"
+ ],
+ "䣆": [
+ "ㄒㄧㄥ2"
+ ],
+ "䣇": [
+ "ㄑㄧㄡ2"
+ ],
+ "䣈": [
+ "ㄏㄤ4"
+ ],
+ "䣊": [
+ "ㄉㄤ3"
+ ],
+ "䣋": [
+ "ㄘㄞ3"
+ ],
+ "䣌": [
+ "ㄉㄧ3"
+ ],
+ "䣍": [
+ "ㄧㄢ3",
+ "ㄧㄢ1"
+ ],
+ "䣎": [
+ "ㄗ1"
+ ],
+ "䣐": [
+ "ㄧㄥ1"
+ ],
+ "䣑": [
+ "ㄔㄢ2"
+ ],
+ "䣓": [
+ "ㄌㄧ2",
+ "ㄌㄧ4"
+ ],
+ "䣔": [
+ "ㄙㄨㄛ3"
+ ],
+ "䣕": [
+ "ㄇㄚ3"
+ ],
+ "䣖": [
+ "ㄇㄚ3"
+ ],
+ "䣘": [
+ "ㄊㄤ2"
+ ],
+ "䣙": [
+ "ㄆㄟ2",
+ "ㄆㄥ3",
+ "ㄅㄟ1"
+ ],
+ "䣚": [
+ "ㄌㄡ2"
+ ],
+ "䣛": [
+ "ㄑㄧ1",
+ "ㄒㄧ1"
+ ],
+ "䣜": [
+ "ㄘㄨㄛ2"
+ ],
+ "䣝": [
+ "ㄊㄨ2"
+ ],
+ "䣞": [
+ "ㄜ4"
+ ],
+ "䣟": [
+ "ㄘㄢ2",
+ "ㄘㄢ3",
+ "ㄊㄧ4"
+ ],
+ "䣠": [
+ "ㄐㄧㄝ2",
+ "ㄊㄧ4",
+ "ㄗㄚ2"
+ ],
+ "䣡": [
+ "ㄧ2"
+ ],
+ "䣢": [
+ "ㄐㄧ2"
+ ],
+ "䣣": [
+ "ㄉㄤ3"
+ ],
+ "䣤": [
+ "ㄐㄩㄝ2"
+ ],
+ "䣥": [
+ "ㄅㄧ3"
+ ],
+ "䣦": [
+ "ㄌㄟ4"
+ ],
+ "䣧": [
+ "ㄧ4"
+ ],
+ "䣨": [
+ "ㄔㄨㄣ2"
+ ],
+ "䣩": [
+ "ㄔㄨㄣ2"
+ ],
+ "䣪": [
+ "ㄆㄛ4"
+ ],
+ "䣫": [
+ "ㄌㄧ2"
+ ],
+ "䣬": [
+ "ㄗㄞ3",
+ "ㄍㄜ1"
+ ],
+ "䣭": [
+ "ㄊㄞ4"
+ ],
+ "䣮": [
+ "ㄆㄛ4"
+ ],
+ "䣯": [
+ "ㄘㄨ2",
+ "ㄊㄧㄢ3"
+ ],
+ "䣰": [
+ "ㄐㄩ4"
+ ],
+ "䣱": [
+ "ㄒㄩ4"
+ ],
+ "䣲": [
+ "ㄈㄢ4"
+ ],
+ "䣴": [
+ "ㄒㄩ4"
+ ],
+ "䣵": [
+ "ㄦ4"
+ ],
+ "䣶": [
+ "ㄏㄨㄛ2",
+ "ㄊㄧㄢ2"
+ ],
+ "䣷": [
+ "ㄓㄨ1"
+ ],
+ "䣸": [
+ "ㄖㄢ3",
+ "ㄋㄢ3",
+ "ㄋㄢ4"
+ ],
+ "䣹": [
+ "ㄈㄚ2"
+ ],
+ "䣺": [
+ "ㄐㄩㄢ1"
+ ],
+ "䣻": [
+ "ㄏㄢ1"
+ ],
+ "䣼": [
+ "ㄌㄧㄤ2"
+ ],
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+ ],
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+ ],
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+ "ㄒㄧ1"
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+ "䨏": [
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+ "䨐": [
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+ "䨒": [
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+ ],
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+ "ㄅㄠ2"
+ ],
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+ "ㄐㄧ4"
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+ ],
+ "䨘": [
+ "ㄒㄧㄢ4"
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+ "ㄘㄣ2"
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+ "ㄏㄨ1"
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+ "ㄒㄧ1"
+ ],
+ "䨜": [
+ "ㄅㄥ1"
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+ "ㄑㄧㄥ1"
+ ],
+ "䨞": [
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+ "ㄩ4"
+ ],
+ "䨟": [
+ "ㄨㄚ1"
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+ "䨡": [
+ "ㄏㄢ2"
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+ "䨢": [
+ "ㄉㄢ4"
+ ],
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+ ],
+ "䨤": [
+ "ㄉㄧ2"
+ ],
+ "䨥": [
+ "ㄏㄨㄛ4",
+ "ㄕㄨㄤ1"
+ ],
+ "䨦": [
+ "ㄆㄤ1"
+ ],
+ "䨨": [
+ "ㄓㄨㄟ1"
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+ "䨩": [
+ "ㄌㄧㄥ2"
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+ "ㄇㄞ2"
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+ "ㄇㄞ4"
+ ],
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+ "ㄌㄧㄢ2"
+ ],
+ "䨭": [
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+ "䨮": [
+ "ㄒㄩㄝ3"
+ ],
+ "䨯": [
+ "ㄓㄣ4"
+ ],
+ "䨰": [
+ "ㄆㄛ4"
+ ],
+ "䨱": [
+ "ㄈㄨ4"
+ ],
+ "䨲": [
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+ "ㄨㄢ4"
+ ],
+ "䨳": [
+ "ㄒㄧ4",
+ "ㄒㄧ1"
+ ],
+ "䨴": [
+ "ㄉㄨㄟ4"
+ ],
+ "䨵": [
+ "ㄉㄢ4"
+ ],
+ "䨶": [
+ "ㄩㄣ3"
+ ],
+ "䨷": [
+ "ㄒㄧㄢ4"
+ ],
+ "䨸": [
+ "ㄧㄣ3"
+ ],
+ "䨹": [
+ "ㄕㄨ1"
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+ "䨺": [
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+ ],
+ "䨻": [
+ "ㄅㄥ4"
+ ],
+ "䨼": [
+ "ㄏㄨ4"
+ ],
+ "䨽": [
+ "ㄈㄟ3"
+ ],
+ "䨾": [
+ "ㄈㄟ4"
+ ],
+ "䨿": [
+ "ㄗㄚ2"
+ ],
+ "䩀": [
+ "ㄅㄟ4"
+ ],
+ "䩁": [
+ "ㄈㄟ1"
+ ],
+ "䩂": [
+ "ㄒㄧㄢ1"
+ ],
+ "䩃": [
+ "ㄕ4"
+ ],
+ "䩄": [
+ "ㄇㄧㄢ3",
+ "ㄊㄧㄢ3"
+ ],
+ "䩅": [
+ "ㄓㄢ3",
+ "ㄋㄢ3"
+ ],
+ "䩆": [
+ "ㄓㄢ3"
+ ],
+ "䩇": [
+ "ㄓㄢ1",
+ "ㄉㄧㄢ1"
+ ],
+ "䩈": [
+ "ㄏㄨㄟ4"
+ ],
+ "䩉": [
+ "ㄈㄨ3"
+ ],
+ "䩊": [
+ "ㄨㄢ3",
+ "ㄨㄛ4"
+ ],
+ "䩋": [
+ "ㄇㄛ3"
+ ],
+ "䩌": [
+ "ㄑㄧㄠ2"
+ ],
+ "䩍": [
+ "ㄌㄧㄠ3"
+ ],
+ "䩏": [
+ "ㄇㄧㄝ4"
+ ],
+ "䩐": [
+ "ㄏㄨ1",
+ "ㄐㄧ2",
+ "ㄍㄜ2"
+ ],
+ "䩑": [
+ "ㄏㄨㄥ2"
+ ],
+ "䩒": [
+ "ㄩ2"
+ ],
+ "䩓": [
+ "ㄑㄧ2"
+ ],
+ "䩔": [
+ "ㄉㄨㄛ4",
+ "ㄕㄢ1",
+ "ㄆㄢ2"
+ ],
+ "䩕": [
+ "ㄤ2",
+ "ㄧㄥ4"
+ ],
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+ "ㄅㄚ4"
+ ],
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+ "ㄉㄧ4"
+ ],
+ "䩙": [
+ "ㄒㄩㄢ4",
+ "ㄒㄧㄢ3"
+ ],
+ "䩚": [
+ "ㄉㄧ4",
+ "ㄉㄧ1"
+ ],
+ "䩛": [
+ "ㄅㄧ4",
+ "ㄆㄟ4"
+ ],
+ "䩜": [
+ "ㄓㄡ4"
+ ],
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+ "ㄆㄠ2"
+ ],
+ "䩞": [
+ "ㄊㄧㄝ2",
+ "ㄉㄧㄝ1"
+ ],
+ "䩟": [
+ "ㄧ2",
+ "ㄊㄧ4"
+ ],
+ "䩡": [
+ "ㄐㄧㄚ2",
+ "ㄍㄜ2"
+ ],
+ "䩢": [
+ "ㄓ4",
+ "ㄉㄚ2"
+ ],
+ "䩣": [
+ "ㄊㄨ2"
+ ],
+ "䩤": [
+ "ㄒㄧㄝ2"
+ ],
+ "䩥": [
+ "ㄉㄢ4",
+ "ㄔㄢ1"
+ ],
+ "䩦": [
+ "ㄊㄧㄠ2"
+ ],
+ "䩧": [
+ "ㄒㄧㄝ4"
+ ],
+ "䩨": [
+ "ㄔㄤ4",
+ "ㄓㄤ1"
+ ],
+ "䩩": [
+ "ㄩㄢ3"
+ ],
+ "䩪": [
+ "ㄍㄨㄢ3"
+ ],
+ "䩫": [
+ "ㄌㄧㄤ3"
+ ],
+ "䩬": [
+ "ㄅㄥ3",
+ "ㄈㄥ3"
+ ],
+ "䩮": [
+ "ㄌㄨ4"
+ ],
+ "䩯": [
+ "ㄐㄧ2",
+ "ㄑㄧ4"
+ ],
+ "䩰": [
+ "ㄒㄩㄢ4"
+ ],
+ "䩱": [
+ "ㄕㄨ4",
+ "ㄩ2",
+ "ㄕㄨ1"
+ ],
+ "䩲": [
+ "ㄉㄨ1"
+ ],
+ "䩳": [
+ "ㄙㄡ1"
+ ],
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+ "ㄏㄨ2"
+ ],
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+ "ㄩㄣ4"
+ ],
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+ "ㄔㄢ3"
+ ],
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+ "ㄅㄤ1"
+ ],
+ "䩸": [
+ "ㄖㄨㄥ2",
+ "ㄖㄨㄥ3"
+ ],
+ "䩹": [
+ "ㄜ2",
+ "ㄎㄨㄛ4"
+ ],
+ "䩺": [
+ "ㄨㄥ1"
+ ],
+ "䩻": [
+ "ㄅㄚ4"
+ ],
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+ "ㄈㄥ2"
+ ],
+ "䩽": [
+ "ㄩ1"
+ ],
+ "䩾": [
+ "ㄓㄜ4"
+ ],
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+ "ㄈㄣ2"
+ ],
+ "䪀": [
+ "ㄍㄨㄢ3"
+ ],
+ "䪁": [
+ "ㄅㄨ3"
+ ],
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+ "ㄍㄜ2"
+ ],
+ "䪃": [
+ "ㄉㄨㄣ1"
+ ],
+ "䪄": [
+ "ㄏㄨㄤ2"
+ ],
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+ "ㄉㄨ2"
+ ],
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+ "ㄊㄧ3"
+ ],
+ "䪇": [
+ "ㄅㄛ2"
+ ],
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+ "ㄑㄧㄢ4"
+ ],
+ "䪉": [
+ "ㄌㄧㄝ4"
+ ],
+ "䪊": [
+ "ㄌㄨㄥ2"
+ ],
+ "䪋": [
+ "ㄨㄟ4"
+ ],
+ "䪌": [
+ "ㄓㄢ4",
+ "ㄕㄢ1"
+ ],
+ "䪍": [
+ "ㄌㄢ2"
+ ],
+ "䪎": [
+ "ㄙㄨㄟ1"
+ ],
+ "䪏": [
+ "ㄋㄚ4",
+ "ㄉㄚ1"
+ ],
+ "䪐": [
+ "ㄅㄧ4"
+ ],
+ "䪑": [
+ "ㄊㄨㄛ2"
+ ],
+ "䪒": [
+ "ㄓㄨ4"
+ ],
+ "䪓": [
+ "ㄉㄧㄝ1"
+ ],
+ "䪔": [
+ "ㄅㄨ3",
+ "ㄈㄨ4"
+ ],
+ "䪕": [
+ "ㄐㄩ2"
+ ],
+ "䪖": [
+ "ㄆㄛ4"
+ ],
+ "䪗": [
+ "ㄒㄧㄚ2"
+ ],
+ "䪘": [
+ "ㄨㄟ3",
+ "ㄉㄧ1"
+ ],
+ "䪙": [
+ "ㄆㄛ4",
+ "ㄈㄨ2",
+ "ㄈㄨ4"
+ ],
+ "䪚": [
+ "ㄉㄚ1",
+ "ㄊㄚ4"
+ ],
+ "䪛": [
+ "ㄈㄢ1",
+ "ㄈㄢ2"
+ ],
+ "䪜": [
+ "ㄔㄢ1",
+ "ㄔㄢ4",
+ "ㄧㄢ2"
+ ],
+ "䪝": [
+ "ㄏㄨ4"
+ ],
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+ "ㄗㄚ2"
+ ],
+ "䪤": [
+ "ㄈㄢ2"
+ ],
+ "䪥": [
+ "ㄒㄧㄝ4"
+ ],
+ "䪦": [
+ "ㄏㄨㄥ2"
+ ],
+ "䪧": [
+ "ㄔ2"
+ ],
+ "䪨": [
+ "ㄅㄠ2"
+ ],
+ "䪩": [
+ "ㄧㄣ2"
+ ],
+ "䪫": [
+ "ㄐㄧㄥ1"
+ ],
+ "䪬": [
+ "ㄅㄛ2"
+ ],
+ "䪭": [
+ "ㄖㄨㄢ3"
+ ],
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+ "ㄔㄡ3"
+ ],
+ "䪯": [
+ "ㄧㄥ1"
+ ],
+ "䪰": [
+ "ㄧ1"
+ ],
+ "䪱": [
+ "ㄍㄞ3",
+ "ㄏㄞ2"
+ ],
+ "䪲": [
+ "ㄎㄨㄣ1"
+ ],
+ "䪳": [
+ "ㄩㄣ3"
+ ],
+ "䪴": [
+ "ㄓㄣ3",
+ "ㄉㄢ3",
+ "ㄉㄢ4"
+ ],
+ "䪵": [
+ "ㄧㄚ3"
+ ],
+ "䪶": [
+ "ㄐㄩ1"
+ ],
+ "䪷": [
+ "ㄏㄡ4",
+ "ㄍㄡ4"
+ ],
+ "䪸": [
+ "ㄇㄧㄣ2",
+ "ㄇㄣ2"
+ ],
+ "䪹": [
+ "ㄅㄞ1",
+ "ㄆㄧ1",
+ "ㄆㄟ2"
+ ],
+ "䪺": [
+ "ㄍㄜ2"
+ ],
+ "䪻": [
+ "ㄅㄧㄢ4",
+ "ㄈㄢ4"
+ ],
+ "䪼": [
+ "ㄓㄨㄛ1"
+ ],
+ "䪽": [
+ "ㄏㄠ4"
+ ],
+ "䪾": [
+ "ㄓㄣ3"
+ ],
+ "䪿": [
+ "ㄕㄥ3"
+ ],
+ "䫀": [
+ "ㄍㄣ3"
+ ],
+ "䫁": [
+ "ㄅㄧ4"
+ ],
+ "䫂": [
+ "ㄉㄨㄛ3"
+ ],
+ "䫃": [
+ "ㄔㄨㄣ2",
+ "ㄓㄣ4"
+ ],
+ "䫄": [
+ "ㄔㄨㄚ4"
+ ],
+ "䫅": [
+ "ㄙㄢ4"
+ ],
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+ "ㄔㄥ2"
+ ],
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+ "ㄖㄢ2"
+ ],
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+ "ㄔㄣ3",
+ "ㄗㄣ4",
+ "ㄘㄣ2"
+ ],
+ "䫉": [
+ "ㄇㄠ4"
+ ],
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+ "ㄆㄟ2"
+ ],
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+ "ㄨㄟ1",
+ "ㄊㄨㄟ2"
+ ],
+ "䫌": [
+ "ㄆㄧ3"
+ ],
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+ "ㄈㄨ3"
+ ],
+ "䫎": [
+ "ㄓㄨㄛ1"
+ ],
+ "䫏": [
+ "ㄑㄧ1"
+ ],
+ "䫐": [
+ "ㄌㄧㄣ2"
+ ],
+ "䫑": [
+ "ㄧ1",
+ "ㄑㄧ1"
+ ],
+ "䫒": [
+ "ㄇㄣ2"
+ ],
+ "䫓": [
+ "ㄨ2"
+ ],
+ "䫔": [
+ "ㄑㄧ4",
+ "ㄑㄧㄝ4",
+ "ㄧㄚ4",
+ "ㄎㄨㄟ2"
+ ],
+ "䫕": [
+ "ㄉㄧㄝ2"
+ ],
+ "䫖": [
+ "ㄔㄣ3",
+ "ㄕㄣ4"
+ ],
+ "䫗": [
+ "ㄒㄧㄚ2"
+ ],
+ "䫘": [
+ "ㄏㄜ2",
+ "ㄐㄧㄝ2",
+ "ㄎㄜ3"
+ ],
+ "䫙": [
+ "ㄙㄤ3"
+ ],
+ "䫚": [
+ "ㄍㄨㄚ1"
+ ],
+ "䫛": [
+ "ㄏㄡ2"
+ ],
+ "䫜": [
+ "ㄠ1"
+ ],
+ "䫝": [
+ "ㄈㄨ3"
+ ],
+ "䫞": [
+ "ㄑㄧㄠ1",
+ "ㄈㄣ2"
+ ],
+ "䫟": [
+ "ㄏㄨㄣ4"
+ ],
+ "䫠": [
+ "ㄆㄧ1"
+ ],
+ "䫡": [
+ "ㄧㄢ2",
+ "ㄑㄧㄢ4",
+ "ㄑㄧㄢ1",
+ "ㄐㄧㄢ4"
+ ],
+ "䫢": [
+ "ㄙ1"
+ ],
+ "䫣": [
+ "ㄒㄧ2"
+ ],
+ "䫤": [
+ "ㄇㄧㄥ2"
+ ],
+ "䫥": [
+ "ㄎㄨㄟ3"
+ ],
+ "䫦": [
+ "ㄍㄜ2",
+ "ㄎㄞ4"
+ ],
+ "䫨": [
+ "ㄠ4"
+ ],
+ "䫩": [
+ "ㄙㄢ3"
+ ],
+ "䫪": [
+ "ㄕㄨㄤ3"
+ ],
+ "䫫": [
+ "ㄌㄡ2"
+ ],
+ "䫬": [
+ "ㄓㄣ3",
+ "ㄑㄧㄣ3"
+ ],
+ "䫭": [
+ "ㄏㄨㄟ4"
+ ],
+ "䫮": [
+ "ㄔㄢ2"
+ ],
+ "䫰": [
+ "ㄌㄧㄣ4"
+ ],
+ "䫱": [
+ "ㄋㄚ2"
+ ],
+ "䫲": [
+ "ㄏㄢ4",
+ "ㄎㄢ3"
+ ],
+ "䫳": [
+ "ㄉㄨ2"
+ ],
+ "䫴": [
+ "ㄐㄧㄣ4"
+ ],
+ "䫵": [
+ "ㄇㄧㄢ2"
+ ],
+ "䫶": [
+ "ㄈㄢ2"
+ ],
+ "䫷": [
+ "ㄜ4"
+ ],
+ "䫸": [
+ "ㄔㄠ1"
+ ],
+ "䫹": [
+ "ㄏㄨㄥ2"
+ ],
+ "䫺": [
+ "ㄏㄨㄥ2"
+ ],
+ "䫻": [
+ "ㄩ4"
+ ],
+ "䫼": [
+ "ㄒㄩㄝ4"
+ ],
+ "䫽": [
+ "ㄆㄠ1"
+ ],
+ "䫾": [
+ "ㄅㄧ1",
+ "ㄅㄧ4"
+ ],
+ "䫿": [
+ "ㄔㄠ1"
+ ],
+ "䬀": [
+ "ㄧㄡ3"
+ ],
+ "䬁": [
+ "ㄧ2"
+ ],
+ "䬂": [
+ "ㄒㄩㄝ4"
+ ],
+ "䬃": [
+ "ㄙㄚ4"
+ ],
+ "䬄": [
+ "ㄒㄩ4"
+ ],
+ "䬅": [
+ "ㄌㄧ4",
+ "ㄌㄧㄝ4",
+ "ㄒㄧㄝ2"
+ ],
+ "䬆": [
+ "ㄌㄧ4"
+ ],
+ "䬇": [
+ "ㄩㄢ4"
+ ],
+ "䬈": [
+ "ㄉㄨㄟ4"
+ ],
+ "䬉": [
+ "ㄏㄨㄛ4"
+ ],
+ "䬊": [
+ "ㄕㄚ4"
+ ],
+ "䬋": [
+ "ㄌㄥ2"
+ ],
+ "䬌": [
+ "ㄆㄡ1"
+ ],
+ "䬍": [
+ "ㄏㄨ1"
+ ],
+ "䬎": [
+ "ㄍㄨㄛ2",
+ "ㄒㄩ4"
+ ],
+ "䬏": [
+ "ㄅㄨ4",
+ "ㄈㄡ3"
+ ],
+ "䬐": [
+ "ㄖㄨㄟ2"
+ ],
+ "䬑": [
+ "ㄨㄟ4",
+ "ㄩ4"
+ ],
+ "䬒": [
+ "ㄙㄡ1",
+ "ㄒㄧㄠ1"
+ ],
+ "䬓": [
+ "ㄢ4"
+ ],
+ "䬔": [
+ "ㄩ2"
+ ],
+ "䬕": [
+ "ㄒㄧㄤ1",
+ "ㄕㄤ3"
+ ],
+ "䬖": [
+ "ㄏㄥ2"
+ ],
+ "䬗": [
+ "ㄧㄤ2"
+ ],
+ "䬘": [
+ "ㄒㄧㄠ1"
+ ],
+ "䬙": [
+ "ㄧㄠ2"
+ ],
+ "䬛": [
+ "ㄅㄧ4"
+ ],
+ "䬝": [
+ "ㄏㄥ2"
+ ],
+ "䬞": [
+ "ㄊㄠ2"
+ ],
+ "䬟": [
+ "ㄌㄧㄡ2",
+ "ㄌㄧㄡ3"
+ ],
+ "䬡": [
+ "ㄓㄨ4"
+ ],
+ "䬣": [
+ "ㄒㄧ4",
+ "ㄑㄧ4",
+ "ㄍㄜ1"
+ ],
+ "䬤": [
+ "ㄗㄢ4",
+ "ㄓㄢ1"
+ ],
+ "䬥": [
+ "ㄧ4"
+ ],
+ "䬦": [
+ "ㄉㄡ4",
+ "ㄕㄜ4"
+ ],
+ "䬧": [
+ "ㄩㄢ2"
+ ],
+ "䬨": [
+ "ㄐㄧㄡ4"
+ ],
+ "䬪": [
+ "ㄅㄛ2"
+ ],
+ "䬫": [
+ "ㄊㄧ2"
+ ],
+ "䬬": [
+ "ㄧㄥ3"
+ ],
+ "䬮": [
+ "ㄧ2"
+ ],
+ "䬯": [
+ "ㄋㄧㄢ2",
+ "ㄊㄧㄢ3"
+ ],
+ "䬰": [
+ "ㄕㄠ4"
+ ],
+ "䬱": [
+ "ㄅㄣ4"
+ ],
+ "䬲": [
+ "ㄍㄡ1"
+ ],
+ "䬳": [
+ "ㄅㄢ3"
+ ],
+ "䬴": [
+ "ㄇㄛ4"
+ ],
+ "䬵": [
+ "ㄍㄞ1",
+ "ㄞ4"
+ ],
+ "䬶": [
+ "ㄣ4"
+ ],
+ "䬷": [
+ "ㄕㄜ3"
+ ],
+ "䬹": [
+ "ㄓ4"
+ ],
+ "䬺": [
+ "ㄧㄤ4"
+ ],
+ "䬻": [
+ "ㄐㄧㄢ4"
+ ],
+ "䬼": [
+ "ㄩㄢ4"
+ ],
+ "䬽": [
+ "ㄕㄨㄟ4",
+ "ㄉㄨㄟ4"
+ ],
+ "䬾": [
+ "ㄊㄧ2"
+ ],
+ "䬿": [
+ "ㄨㄟ3",
+ "ㄨㄟ4"
+ ],
+ "䭀": [
+ "ㄒㄩㄣ4"
+ ],
+ "䭁": [
+ "ㄓ4"
+ ],
+ "䭂": [
+ "ㄧ4"
+ ],
+ "䭃": [
+ "ㄖㄣ3",
+ "ㄋㄧㄝ4"
+ ],
+ "䭄": [
+ "ㄕ4"
+ ],
+ "䭅": [
+ "ㄏㄨ2"
+ ],
+ "䭆": [
+ "ㄋㄜ4"
+ ],
+ "䭇": [
+ "ㄧㄝ1",
+ "ㄧ4"
+ ],
+ "䭈": [
+ "ㄐㄧㄢ4"
+ ],
+ "䭉": [
+ "ㄙㄨㄟ3"
+ ],
+ "䭊": [
+ "ㄧㄥ3"
+ ],
+ "䭋": [
+ "ㄅㄠ3"
+ ],
+ "䭌": [
+ "ㄏㄨ2"
+ ],
+ "䭍": [
+ "ㄏㄨ2"
+ ],
+ "䭎": [
+ "ㄧㄝ4"
+ ],
+ "䭐": [
+ "ㄧㄤ4"
+ ],
+ "䭑": [
+ "ㄌㄧㄢ2",
+ "ㄑㄧㄢ4",
+ "ㄒㄧㄢ4"
+ ],
+ "䭒": [
+ "ㄒㄧ1"
+ ],
+ "䭓": [
+ "ㄣ4"
+ ],
+ "䭔": [
+ "ㄉㄨㄟ1"
+ ],
+ "䭕": [
+ "ㄗㄢ3",
+ "ㄐㄧㄢ3"
+ ],
+ "䭖": [
+ "ㄓㄨ4"
+ ],
+ "䭗": [
+ "ㄧㄥ3"
+ ],
+ "䭘": [
+ "ㄧㄥ3"
+ ],
+ "䭙": [
+ "ㄐㄧㄣ3",
+ "ㄐㄧㄢ4"
+ ],
+ "䭚": [
+ "ㄔㄨㄤ2"
+ ],
+ "䭛": [
+ "ㄉㄢ4"
+ ],
+ "䭝": [
+ "ㄎㄨㄞ4"
+ ],
+ "䭞": [
+ "ㄧ4"
+ ],
+ "䭟": [
+ "ㄧㄝ4"
+ ],
+ "䭠": [
+ "ㄐㄧㄢ3"
+ ],
+ "䭡": [
+ "ㄣ4"
+ ],
+ "䭢": [
+ "ㄋㄧㄥ2"
+ ],
+ "䭣": [
+ "ㄘ2"
+ ],
+ "䭤": [
+ "ㄑㄧㄢ3"
+ ],
+ "䭥": [
+ "ㄒㄩㄝ4"
+ ],
+ "䭦": [
+ "ㄅㄛ1"
+ ],
+ "䭧": [
+ "ㄇㄧ3"
+ ],
+ "䭨": [
+ "ㄕㄨㄟ4"
+ ],
+ "䭩": [
+ "ㄇㄛ2"
+ ],
+ "䭪": [
+ "ㄌㄧㄤ2"
+ ],
+ "䭫": [
+ "ㄑㄧ3"
+ ],
+ "䭬": [
+ "ㄑㄧ3"
+ ],
+ "䭭": [
+ "ㄕㄡ3"
+ ],
+ "䭮": [
+ "ㄈㄨ2"
+ ],
+ "䭯": [
+ "ㄅㄛ2"
+ ],
+ "䭰": [
+ "ㄅㄥ4"
+ ],
+ "䭱": [
+ "ㄅㄧㄝ2"
+ ],
+ "䭲": [
+ "ㄧ3"
+ ],
+ "䭳": [
+ "ㄨㄟ4"
+ ],
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+ "ㄏㄨㄢ2"
+ ],
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+ "ㄈㄢ2"
+ ],
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+ "ㄑㄧ2"
+ ],
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+ "ㄇㄠ2"
+ ],
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+ "ㄤ2"
+ ],
+ "䭺": [
+ "ㄤ3"
+ ],
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+ "ㄈㄣ1",
+ "ㄈㄨ4"
+ ],
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+ "ㄑㄧ2"
+ ],
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+ "ㄑㄩㄣ2"
+ ],
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+ "ㄊㄨㄛ2"
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+ "ㄧ4"
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+ "ㄅㄛ2"
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+ ],
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+ "ㄒㄧ4"
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+ "ㄨ2"
+ ],
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+ ],
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+ "ㄆㄨ1"
+ ],
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+ "ㄔㄠ4"
+ ],
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+ "ㄗㄨㄟ1"
+ ],
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+ "ㄓㄨㄛ2"
+ ],
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+ "ㄔㄤ1"
+ ],
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+ "ㄢ4",
+ "ㄧㄢ4"
+ ],
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+ "ㄦ2"
+ ],
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+ "ㄩ4"
+ ],
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+ "ㄌㄥ4",
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+ ],
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+ "ㄈㄨ4"
+ ],
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+ "ㄓㄚ2",
+ "ㄧㄝ4"
+ ],
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+ "ㄏㄨㄣ2"
+ ],
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+ "ㄔㄨㄣ3"
+ ],
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+ "ㄙㄡ1",
+ "ㄙㄡ3"
+ ],
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+ "ㄅㄧ1"
+ ],
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+ "ㄅㄧ4",
+ "ㄅㄛ2"
+ ],
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+ "ㄓㄚ2"
+ ],
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+ "ㄏㄜ2"
+ ],
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+ "ㄌㄧ4"
+ ],
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+ "ㄏㄢ4",
+ "ㄏㄢ2"
+ ],
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+ "ㄗㄞ3"
+ ],
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+ "ㄍㄨ2"
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+ "ㄔㄥ2"
+ ],
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+ "ㄌㄡ2",
+ "ㄌㄩ2"
+ ],
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+ "ㄇㄛ4"
+ ],
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+ "ㄇㄧ4"
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+ "ㄇㄞ4"
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+ ],
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+ ],
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+ "ㄓㄨ2"
+ ],
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+ "ㄏㄨㄤ2"
+ ],
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+ "ㄈㄢ2"
+ ],
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+ "ㄉㄥ4",
+ "ㄊㄥ1"
+ ],
+ "䮵": [
+ "ㄊㄨㄥ2"
+ ],
+ "䮷": [
+ "ㄉㄨ2"
+ ],
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+ "ㄨㄛ4"
+ ],
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+ "ㄨㄟ4",
+ "ㄍㄨㄟ4"
+ ],
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+ "ㄐㄧ4"
+ ],
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+ "ㄔ4"
+ ],
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+ ],
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+ "ㄅㄧㄠ1"
+ ],
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+ "ㄌㄨㄥ4"
+ ],
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+ "ㄐㄧㄢ3"
+ ],
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+ "ㄋㄧㄝ4"
+ ],
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+ "ㄌㄨㄛ2"
+ ],
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+ "ㄕㄣ1",
+ "ㄐㄧ2"
+ ],
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+ "ㄍㄨㄚ1"
+ ],
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+ "ㄋㄧㄝ4"
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+ "ㄧ4"
+ ],
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+ "ㄎㄨ1"
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+ "ㄨㄢ2"
+ ],
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+ "ㄨㄚ1"
+ ],
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+ "ㄑㄧㄚ4",
+ "ㄎㄜ1"
+ ],
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+ "ㄅㄛ2",
+ "ㄈㄟ4"
+ ],
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+ "ㄎㄠ1"
+ ],
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+ "ㄌㄧㄥ2"
+ ],
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+ "ㄍㄢ4"
+ ],
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+ "ㄍㄨㄚ1",
+ "ㄏㄨㄚ2"
+ ],
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+ "ㄏㄞ2"
+ ],
+ "䯑": [
+ "ㄎㄨㄤ1"
+ ],
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+ "ㄏㄥ2"
+ ],
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+ "ㄎㄨㄟ1"
+ ],
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+ "ㄗㄜ2"
+ ],
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+ "ㄊㄧㄥ1"
+ ],
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+ "ㄌㄤ2"
+ ],
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+ "ㄅㄧ4"
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+ "ㄏㄨㄢ4"
+ ],
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+ "ㄆㄛ4"
+ ],
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+ "ㄧㄠ3"
+ ],
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+ "ㄨㄢ4"
+ ],
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+ "ㄊㄧ4",
+ "ㄒㄧ1"
+ ],
+ "䯝": [
+ "ㄙㄨㄟ3"
+ ],
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+ "ㄎㄨㄚ1"
+ ],
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+ "ㄉㄨㄟ4",
+ "ㄒㄧㄚ2"
+ ],
+ "䯠": [
+ "ㄠ3"
+ ],
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+ "ㄐㄧㄢ4"
+ ],
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+ "ㄇㄛ2",
+ "ㄇㄛ3"
+ ],
+ "䯣": [
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+ "ㄍㄨㄟ4"
+ ],
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+ "ㄎㄨㄞ4"
+ ],
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+ "ㄢ4",
+ "ㄑㄧ4"
+ ],
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+ "ㄇㄚ4"
+ ],
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+ "ㄑㄧㄥ3",
+ "ㄑㄧㄥ4"
+ ],
+ "䯨": [
+ "ㄑㄧㄠ1",
+ "ㄏㄜ4"
+ ],
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+ "ㄎㄠ3",
+ "ㄎㄠ4"
+ ],
+ "䯫": [
+ "ㄏㄠ4"
+ ],
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+ "ㄉㄨㄛ3"
+ ],
+ "䯭": [
+ "ㄒㄧㄢ1"
+ ],
+ "䯮": [
+ "ㄋㄞ2"
+ ],
+ "䯯": [
+ "ㄙㄨㄛ1"
+ ],
+ "䯰": [
+ "ㄐㄧㄝ4"
+ ],
+ "䯱": [
+ "ㄆㄧ1",
+ "ㄆㄟ1",
+ "ㄈㄨ4"
+ ],
+ "䯲": [
+ "ㄆㄚ1",
+ "ㄅㄚ4"
+ ],
+ "䯳": [
+ "ㄙㄨㄥ1"
+ ],
+ "䯴": [
+ "ㄔㄤ2"
+ ],
+ "䯵": [
+ "ㄋㄧㄝ4"
+ ],
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+ "ㄇㄢ2",
+ "ㄇㄧㄢ2"
+ ],
+ "䯷": [
+ "ㄙㄨㄥ1"
+ ],
+ "䯸": [
+ "ㄘ4"
+ ],
+ "䯹": [
+ "ㄒㄧㄢ1"
+ ],
+ "䯺": [
+ "ㄎㄨㄛ4"
+ ],
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+ "ㄉㄧ2"
+ ],
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+ "ㄆㄡ3",
+ "ㄅㄠ3"
+ ],
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+ "ㄊㄧㄠ2",
+ "ㄉㄧㄠ1"
+ ],
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+ "ㄙㄨㄟ4",
+ "ㄗㄨㄟ4"
+ ],
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+ "ㄨㄛ3"
+ ],
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+ "ㄈㄟ4"
+ ],
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+ "ㄘㄞ4"
+ ],
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+ "ㄆㄥ4",
+ "ㄈㄤ3"
+ ],
+ "䰄": [
+ "ㄙㄞ1",
+ "ㄕ4"
+ ],
+ "䰆": [
+ "ㄖㄡ2"
+ ],
+ "䰇": [
+ "ㄑㄧ2"
+ ],
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+ "ㄘㄨㄛ2"
+ ],
+ "䰉": [
+ "ㄆㄢ2",
+ "ㄅㄢ1"
+ ],
+ "䰊": [
+ "ㄅㄛ2"
+ ],
+ "䰋": [
+ "ㄇㄢ2"
+ ],
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+ "ㄗㄨㄥ3",
+ "ㄘㄨㄥ1"
+ ],
+ "䰍": [
+ "ㄘ4"
+ ],
+ "䰎": [
+ "ㄎㄨㄟ4"
+ ],
+ "䰏": [
+ "ㄐㄧ4"
+ ],
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+ "ㄌㄢ2"
+ ],
+ "䰒": [
+ "ㄇㄥ2"
+ ],
+ "䰓": [
+ "ㄇㄧㄢ2"
+ ],
+ "䰔": [
+ "ㄆㄢ2"
+ ],
+ "䰕": [
+ "ㄌㄨ2"
+ ],
+ "䰖": [
+ "ㄗㄨㄢ3"
+ ],
+ "䰗": [
+ "ㄐㄧㄡ1"
+ ],
+ "䰘": [
+ "ㄌㄧㄡ2",
+ "ㄐㄧㄠ3"
+ ],
+ "䰙": [
+ "ㄧ3"
+ ],
+ "䰚": [
+ "ㄨㄣ2"
+ ],
+ "䰛": [
+ "ㄌㄧ4",
+ "ㄍㄜ2"
+ ],
+ "䰜": [
+ "ㄌㄧ4"
+ ],
+ "䰝": [
+ "ㄗㄥ4"
+ ],
+ "䰞": [
+ "ㄓㄨ3"
+ ],
+ "䰟": [
+ "ㄏㄨㄣ2"
+ ],
+ "䰠": [
+ "ㄕㄣ2"
+ ],
+ "䰡": [
+ "ㄔ4"
+ ],
+ "䰢": [
+ "ㄒㄧㄥ4"
+ ],
+ "䰣": [
+ "ㄨㄤ3"
+ ],
+ "䰤": [
+ "ㄉㄨㄥ1"
+ ],
+ "䰥": [
+ "ㄏㄨㄛ4",
+ "ㄩ4"
+ ],
+ "䰦": [
+ "ㄆㄧ3"
+ ],
+ "䰧": [
+ "ㄏㄨ1"
+ ],
+ "䰨": [
+ "ㄇㄟ4"
+ ],
+ "䰩": [
+ "ㄔㄜ3",
+ "ㄉㄨ1"
+ ],
+ "䰪": [
+ "ㄇㄟ4"
+ ],
+ "䰫": [
+ "ㄔㄠ1",
+ "ㄔㄠ2",
+ "ㄓㄠ4"
+ ],
+ "䰬": [
+ "ㄐㄩ2"
+ ],
+ "䰭": [
+ "ㄋㄡ4"
+ ],
+ "䰯": [
+ "ㄧ4"
+ ],
+ "䰰": [
+ "ㄖㄨ2"
+ ],
+ "䰱": [
+ "ㄌㄧㄥ2",
+ "ㄌㄨㄥ2"
+ ],
+ "䰲": [
+ "ㄧㄚ4"
+ ],
+ "䰴": [
+ "ㄑㄧ4"
+ ],
+ "䰵": [
+ "ㄗ1"
+ ],
+ "䰷": [
+ "ㄅㄤ4"
+ ],
+ "䰸": [
+ "ㄍㄨㄥ1"
+ ],
+ "䰹": [
+ "ㄗㄜ2"
+ ],
+ "䰺": [
+ "ㄐㄧㄝ4"
+ ],
+ "䰻": [
+ "ㄩ2"
+ ],
+ "䰼": [
+ "ㄑㄧㄣ2",
+ "ㄧㄣ2",
+ "ㄕㄣ4"
+ ],
+ "䰽": [
+ "ㄅㄟ4"
+ ],
+ "䰾": [
+ "ㄅㄚ1",
+ "ㄅㄚ4"
+ ],
+ "䰿": [
+ "ㄊㄨㄛ2"
+ ],
+ "䱀": [
+ "ㄧㄤ1"
+ ],
+ "䱁": [
+ "ㄑㄧㄠ2"
+ ],
+ "䱂": [
+ "ㄧㄡ3"
+ ],
+ "䱃": [
+ "ㄓ4"
+ ],
+ "䱄": [
+ "ㄐㄧㄝ4"
+ ],
+ "䱅": [
+ "ㄇㄛ4"
+ ],
+ "䱆": [
+ "ㄕㄥ2"
+ ],
+ "䱇": [
+ "ㄕㄢ4"
+ ],
+ "䱈": [
+ "ㄑㄧ2"
+ ],
+ "䱉": [
+ "ㄕㄢ4"
+ ],
+ "䱊": [
+ "ㄇㄧ3"
+ ],
+ "䱋": [
+ "ㄍㄨㄥ3"
+ ],
+ "䱌": [
+ "ㄧ2"
+ ],
+ "䱍": [
+ "ㄍㄥ4"
+ ],
+ "䱎": [
+ "ㄍㄥ4"
+ ],
+ "䱏": [
+ "ㄊㄡ3"
+ ],
+ "䱐": [
+ "ㄈㄨ1"
+ ],
+ "䱑": [
+ "ㄒㄩㄝ2"
+ ],
+ "䱒": [
+ "ㄧㄝ4"
+ ],
+ "䱓": [
+ "ㄊㄧㄥ2",
+ "ㄊㄧㄥ3"
+ ],
+ "䱔": [
+ "ㄊㄧㄠ2",
+ "ㄔㄡ2"
+ ],
+ "䱕": [
+ "ㄇㄡ2",
+ "ㄇㄟ2"
+ ],
+ "䱖": [
+ "ㄌㄧㄡ2"
+ ],
+ "䱗": [
+ "ㄘㄢ1"
+ ],
+ "䱘": [
+ "ㄌㄧ2"
+ ],
+ "䱙": [
+ "ㄕㄨ1"
+ ],
+ "䱚": [
+ "ㄌㄨ4"
+ ],
+ "䱛": [
+ "ㄏㄨㄛ4",
+ "ㄒㄩ4",
+ "ㄧ4"
+ ],
+ "䱜": [
+ "ㄘㄨㄛ4"
+ ],
+ "䱝": [
+ "ㄆㄞ2",
+ "ㄅㄟ1"
+ ],
+ "䱞": [
+ "ㄌㄧㄡ2"
+ ],
+ "䱟": [
+ "ㄐㄩ4",
+ "ㄐㄩ1"
+ ],
+ "䱠": [
+ "ㄓㄢ4"
+ ],
+ "䱡": [
+ "ㄐㄩ2"
+ ],
+ "䱢": [
+ "ㄓㄥ1"
+ ],
+ "䱣": [
+ "ㄗㄨ2"
+ ],
+ "䱤": [
+ "ㄒㄧㄢ4"
+ ],
+ "䱥": [
+ "ㄓ4",
+ "ㄐㄧ4"
+ ],
+ "䱨": [
+ "ㄌㄚ4"
+ ],
+ "䱫": [
+ "ㄌㄚ4"
+ ],
+ "䱬": [
+ "ㄒㄩ1"
+ ],
+ "䱭": [
+ "ㄍㄥ4"
+ ],
+ "䱮": [
+ "ㄜ2"
+ ],
+ "䱯": [
+ "ㄇㄨ2"
+ ],
+ "䱰": [
+ "ㄓㄨㄥ4"
+ ],
+ "䱱": [
+ "ㄊㄧ2",
+ "ㄉㄧ4"
+ ],
+ "䱲": [
+ "ㄩㄢ2"
+ ],
+ "䱳": [
+ "ㄓㄢ1"
+ ],
+ "䱴": [
+ "ㄍㄥ4"
+ ],
+ "䱵": [
+ "ㄨㄥ1"
+ ],
+ "䱶": [
+ "ㄌㄤ2"
+ ],
+ "䱷": [
+ "ㄩ2"
+ ],
+ "䱸": [
+ "ㄙㄡ1",
+ "ㄑㄧㄡ1"
+ ],
+ "䱹": [
+ "ㄓㄚ3"
+ ],
+ "䱺": [
+ "ㄏㄞ2"
+ ],
+ "䱻": [
+ "ㄏㄨㄚ2"
+ ],
+ "䱼": [
+ "ㄓㄢ3"
+ ],
+ "䱽": [
+ "ㄔㄤ1"
+ ],
+ "䱾": [
+ "ㄌㄡ2"
+ ],
+ "䱿": [
+ "ㄔㄢ4"
+ ],
+ "䲀": [
+ "ㄓ4"
+ ],
+ "䲁": [
+ "ㄨㄟ4"
+ ],
+ "䲂": [
+ "ㄒㄩㄢ2"
+ ],
+ "䲃": [
+ "ㄗㄠ3",
+ "ㄙㄨㄛ3",
+ "ㄔㄠ2"
+ ],
+ "䲄": [
+ "ㄇㄧㄣ2"
+ ],
+ "䲅": [
+ "ㄍㄨㄟ1"
+ ],
+ "䲆": [
+ "ㄙㄨ1"
+ ],
+ "䲉": [
+ "ㄙ1"
+ ],
+ "䲊": [
+ "ㄉㄨㄛ4",
+ "ㄨㄟ3",
+ "ㄊㄨㄛ4"
+ ],
+ "䲋": [
+ "ㄘㄣ2"
+ ],
+ "䲌": [
+ "ㄎㄨㄢ3"
+ ],
+ "䲍": [
+ "ㄊㄥ2"
+ ],
+ "䲎": [
+ "ㄋㄟ3"
+ ],
+ "䲏": [
+ "ㄌㄠ2"
+ ],
+ "䲐": [
+ "ㄌㄨ3"
+ ],
+ "䲑": [
+ "ㄧ2"
+ ],
+ "䲒": [
+ "ㄒㄧㄝ4"
+ ],
+ "䲓": [
+ "ㄧㄢ3",
+ "ㄧㄢ2"
+ ],
+ "䲔": [
+ "ㄑㄧㄥ2"
+ ],
+ "䲕": [
+ "ㄆㄨ1"
+ ],
+ "䲖": [
+ "ㄔㄡ2"
+ ],
+ "䲗": [
+ "ㄒㄧㄢ2"
+ ],
+ "䲘": [
+ "ㄍㄨㄢ3"
+ ],
+ "䲙": [
+ "ㄐㄧㄝ2"
+ ],
+ "䲚": [
+ "ㄌㄞ4"
+ ],
+ "䲛": [
+ "ㄇㄥ2"
+ ],
+ "䲜": [
+ "ㄧㄝ4"
+ ],
+ "䲞": [
+ "ㄌㄧ4"
+ ],
+ "䲟": [
+ "ㄧㄣ4"
+ ],
+ "䲠": [
+ "ㄔㄨㄣ1"
+ ],
+ "䲡": [
+ "ㄑㄧㄡ1"
+ ],
+ "䲢": [
+ "ㄊㄥ2"
+ ],
+ "䲣": [
+ "ㄩ2"
+ ],
+ "䲦": [
+ "ㄉㄞ4"
+ ],
+ "䲧": [
+ "ㄉㄨ4"
+ ],
+ "䲨": [
+ "ㄏㄨㄥ2"
+ ],
+ "䲪": [
+ "ㄒㄧ4"
+ ],
+ "䲬": [
+ "ㄑㄧ2"
+ ],
+ "䲮": [
+ "ㄩㄢ2"
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+ "ㄩㄣ4"
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+ "ㄉㄧㄥ3",
+ "ㄊㄧㄢ3"
+ ],
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+ "ㄍㄨ3"
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+ "ㄅㄚ1"
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+ "ㄑㄧㄚ3"
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+ "ㄗㄜ2"
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+ "ㄒㄧㄢ2"
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+ "ㄍㄞ1"
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+ "ㄈㄡ3",
+ "ㄈㄡ1",
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+ "ㄅㄨ2"
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+ "ㄩ4",
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+ "ㄐㄩ1",
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+ "ㄅㄧㄥ4"
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+ "业": [
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄑㄧㄢ1"
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+ ],
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+ ],
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+ ],
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+ "ㄏㄨㄥ2"
+ ],
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+ "ㄇㄧㄣ5"
+ ],
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+ "ㄑㄧㄡ2"
+ ],
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+ ],
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+ ],
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+ "ㄉㄨ3"
+ ],
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+ ],
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+ "ㄏㄨㄟ4"
+ ],
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+ ],
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+ ],
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+ "ㄕㄣ1",
+ "ㄙㄢ1",
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+ "ㄙㄢ3"
+ ],
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+ ],
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+ "ㄔㄚ4"
+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄈㄚ4"
+ ],
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+ ],
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+ "ㄌㄧ4"
+ ],
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+ ],
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+ "ㄧ3",
+ "ㄌㄧ4",
+ "ㄐㄩㄝ2"
+ ],
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+ "ㄑㄩ1"
+ ],
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+ "ㄉㄠ4"
+ ],
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+ ],
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+ ],
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+ "ㄒㄧㄚ2"
+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄨㄟ4"
+ ],
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+ "ㄙㄡ1",
+ "ㄒㄧㄠ1"
+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄎㄡ3"
+ ],
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+ "ㄍㄨ4",
+ "ㄎㄨ1"
+ ],
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+ "ㄍㄡ1",
+ "ㄍㄡ4",
+ "ㄑㄩ2"
+ ],
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+ ],
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+ ],
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+ "ㄉㄠ2",
+ "ㄊㄠ1"
+ ],
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+ ],
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+ "ㄓ1"
+ ],
+ "叫": [
+ "ㄐㄧㄠ4"
+ ],
+ "召": [
+ "ㄓㄠ4",
+ "ㄕㄠ4"
+ ],
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+ "ㄆㄚ1",
+ "ㄅㄚ5"
+ ],
+ "叮": [
+ "ㄉㄧㄥ1"
+ ],
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+ "ㄎㄜ4",
+ "ㄍㄜ1"
+ ],
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+ "ㄊㄞ1",
+ "ㄧ2",
+ "ㄙ4"
+ ],
+ "叱": [
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+ "ㄏㄨㄚ4",
+ "ㄜ2"
+ ],
+ "史": [
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+ ],
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+ "ㄧㄡ4"
+ ],
+ "叴": [
+ "ㄑㄧㄡ2"
+ ],
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+ "ㄆㄛ3"
+ ],
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+ "ㄧㄝ4",
+ "ㄒㄧㄝ2"
+ ],
+ "号": [
+ "ㄏㄠ4",
+ "ㄏㄠ2",
+ "ㄒㄧㄠ1"
+ ],
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+ "ㄘ2",
+ "ㄙ4"
+ ],
+ "叹": [
+ "ㄊㄢ4",
+ "ㄧ3",
+ "ㄧㄡ4"
+ ],
+ "叺": [
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+ ],
+ "叻": [
+ "ㄌㄜ4",
+ "ㄌㄧ4"
+ ],
+ "叼": [
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+ ],
+ "叽": [
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+ "ㄐㄧㄠ4"
+ ],
+ "叾": [
+ "ㄌㄧㄠ3"
+ ],
+ "叿": [
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+ "ㄏㄨㄥ2"
+ ],
+ "吀": [
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+ ],
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+ "ㄩ1",
+ "ㄩ4"
+ ],
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+ "ㄇㄤ4"
+ ],
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+ "ㄑㄧ1"
+ ],
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+ "ㄍㄜ3"
+ ],
+ "吅": [
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+ "ㄙㄨㄥ4"
+ ],
+ "吆": [
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+ ],
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+ "ㄐㄧ2"
+ ],
+ "合": [
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+ "ㄍㄜ3"
+ ],
+ "吉": [
+ "ㄐㄧ2"
+ ],
+ "吊": [
+ "ㄉㄧㄠ4"
+ ],
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+ "ㄘㄨㄣ4",
+ "ㄉㄡ4",
+ "ㄧㄥ1"
+ ],
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+ "ㄊㄨㄥ4"
+ ],
+ "名": [
+ "ㄇㄧㄥ2",
+ "ㄇㄧㄥ4"
+ ],
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+ "ㄏㄡ4"
+ ],
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+ "ㄌㄧ4"
+ ],
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+ "ㄊㄨ4"
+ ],
+ "向": [
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+ ],
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+ "ㄓㄚ4"
+ ],
+ "吓": [
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+ "ㄏㄜ4",
+ "ㄏㄚ4"
+ ],
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+ "ㄧㄝ3",
+ "ㄧㄝ1"
+ ],
+ "吕": [
+ "ㄌㄩ3"
+ ],
+ "吖": [
+ "ㄧㄚ1",
+ "ㄚ1"
+ ],
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+ "ㄇㄚ2",
+ "ㄇㄚ3"
+ ],
+ "吘": [
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+ ],
+ "吙": [
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+ ],
+ "吚": [
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+ "ㄒㄧ1"
+ ],
+ "君": [
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+ ],
+ "吜": [
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+ ],
+ "吝": [
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+ ],
+ "吞": [
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+ "ㄊㄧㄢ1"
+ ],
+ "吟": [
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+ "ㄧㄣ3",
+ "ㄐㄧㄣ4"
+ ],
+ "吠": [
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+ ],
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+ "ㄅㄧ4",
+ "ㄆㄧ3"
+ ],
+ "吢": [
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+ ],
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+ ],
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+ "ㄍㄜ4",
+ "ㄒㄧㄝ4"
+ ],
+ "吥": [
+ "ㄅㄨ4",
+ "ㄆㄡ1"
+ ],
+ "否": [
+ "ㄈㄡ3",
+ "ㄆㄧ3"
+ ],
+ "吧": [
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+ "ㄅㄚ1",
+ "ㄆㄚ1"
+ ],
+ "吨": [
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+ "ㄊㄨㄣ2",
+ "ㄊㄨㄣ3"
+ ],
+ "吩": [
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+ "ㄆㄣ4"
+ ],
+ "吪": [
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+ "ㄏㄨㄚ1"
+ ],
+ "含": [
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+ "ㄏㄢ4"
+ ],
+ "听": [
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+ "ㄧㄣ3",
+ "ㄧ2"
+ ],
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+ "ㄎㄥ1",
+ "ㄏㄤ2",
+ "ㄏㄤ4"
+ ],
+ "吮": [
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+ ],
+ "启": [
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+ ],
+ "吰": [
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+ ],
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+ "ㄗ1",
+ "ㄑㄧ4"
+ ],
+ "吲": [
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+ "ㄕㄣ3"
+ ],
+ "吳": [
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+ "ㄩ2"
+ ],
+ "吴": [
+ "ㄨ2",
+ "ㄊㄨㄣ1"
+ ],
+ "吵": [
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+ "ㄔㄠ1",
+ "ㄇㄧㄠ3",
+ "ㄔㄠ4"
+ ],
+ "吶": [
+ "ㄋㄚ4"
+ ],
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+ "ㄔㄨㄛ4",
+ "ㄐㄩㄝ2"
+ ],
+ "吸": [
+ "ㄒㄧ1"
+ ],
+ "吹": [
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+ "ㄔㄨㄟ4"
+ ],
+ "吺": [
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+ "ㄖㄨ2"
+ ],
+ "吻": [
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+ ],
+ "吼": [
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+ ],
+ "吽": [
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+ "ㄡ1",
+ "ㄏㄡ3"
+ ],
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+ "ㄩ2",
+ "ㄧㄚ2"
+ ],
+ "吿": [
+ "ㄍㄠ4"
+ ],
+ "呀": [
+ "ㄧㄚ5",
+ "ㄧㄚ1",
+ "ㄒㄧㄚ1"
+ ],
+ "呁": [
+ "ㄐㄩㄣ4"
+ ],
+ "呂": [
+ "ㄌㄩ3"
+ ],
+ "呃": [
+ "ㄜ4",
+ "ㄜ5",
+ "ㄞ4"
+ ],
+ "呄": [
+ "ㄍㄜ2"
+ ],
+ "呅": [
+ "ㄇㄟ2",
+ "ㄨㄣ3"
+ ],
+ "呆": [
+ "ㄉㄞ1",
+ "ㄅㄠ3",
+ "ㄞ2"
+ ],
+ "呇": [
+ "ㄑㄧ3",
+ "ㄇㄣ4"
+ ],
+ "呈": [
+ "ㄔㄥ2",
+ "ㄎㄨㄤ2",
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+ "唣": [
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+ "ㄔㄢ1"
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+ ],
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+ ],
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+ ],
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+ "ㄠ2"
+ ],
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+ "ㄗㄚ3"
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+ "ㄌㄨㄛ5"
+ ],
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+ "ㄋㄤ1"
+ ],
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+ "ㄗㄢ4",
+ "ㄘㄢ1"
+ ],
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+ ],
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+ "ㄋㄤ5"
+ ],
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+ "ㄌㄢ3"
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+ ],
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+ ],
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+ "ㄩㄝ4"
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+ ],
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+ ],
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+ "ㄋㄧㄝ4"
+ ],
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+ ],
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+ "ㄐㄩㄢ3"
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+ "嵪": [
+ "ㄑㄧㄠ1",
+ "ㄎㄠ1"
+ ],
+ "嵫": [
+ "ㄗ1"
+ ],
+ "嵬": [
+ "ㄨㄟ2",
+ "ㄨㄟ3"
+ ],
+ "嵭": [
+ "ㄅㄥ1"
+ ],
+ "嵮": [
+ "ㄉㄧㄢ1"
+ ],
+ "嵯": [
+ "ㄘㄨㄛ2",
+ "ㄘ1"
+ ],
+ "嵰": [
+ "ㄑㄧㄢ3"
+ ],
+ "嵱": [
+ "ㄩㄥ3",
+ "ㄩㄥ2"
+ ],
+ "嵲": [
+ "ㄋㄧㄝ4"
+ ],
+ "嵳": [
+ "ㄘㄨㄛ2"
+ ],
+ "嵴": [
+ "ㄐㄧ3",
+ "ㄐㄧ2"
+ ],
+ "嵵": [
+ "ㄕ2"
+ ],
+ "嵶": [
+ "ㄖㄨㄛ4"
+ ],
+ "嵷": [
+ "ㄙㄨㄥ3"
+ ],
+ "嵸": [
+ "ㄗㄨㄥ1"
+ ],
+ "嵹": [
+ "ㄐㄧㄤ4"
+ ],
+ "嵺": [
+ "ㄌㄧㄠ2",
+ "ㄐㄧㄠ1"
+ ],
+ "嵻": [
+ "ㄎㄤ1"
+ ],
+ "嵼": [
+ "ㄔㄢ3"
+ ],
+ "嵽": [
+ "ㄉㄧㄝ2",
+ "ㄉㄧ4"
+ ],
+ "嵾": [
+ "ㄘㄣ1",
+ "ㄘㄢ1"
+ ],
+ "嵿": [
+ "ㄉㄧㄥ3"
+ ],
+ "嶀": [
+ "ㄊㄨ1"
+ ],
+ "嶁": [
+ "ㄌㄡ3"
+ ],
+ "嶂": [
+ "ㄓㄤ4"
+ ],
+ "嶃": [
+ "ㄓㄢ3"
+ ],
+ "嶄": [
+ "ㄓㄢ3",
+ "ㄔㄢ2"
+ ],
+ "嶅": [
+ "ㄠ2",
+ "ㄠ4"
+ ],
+ "嶆": [
+ "ㄘㄠ2"
+ ],
+ "嶇": [
+ "ㄑㄩ1"
+ ],
+ "嶈": [
+ "ㄑㄧㄤ1"
+ ],
+ "嶉": [
+ "ㄘㄨㄟ1",
+ "ㄗㄨㄟ3"
+ ],
+ "嶊": [
+ "ㄗㄨㄟ3"
+ ],
+ "嶋": [
+ "ㄉㄠ3"
+ ],
+ "嶌": [
+ "ㄉㄠ3"
+ ],
+ "嶍": [
+ "ㄒㄧ2"
+ ],
+ "嶎": [
+ "ㄩ4"
+ ],
+ "嶏": [
+ "ㄆㄟ4",
+ "ㄆㄧ3"
+ ],
+ "嶐": [
+ "ㄌㄨㄥ2"
+ ],
+ "嶑": [
+ "ㄒㄧㄤ4"
+ ],
+ "嶒": [
+ "ㄘㄥ2",
+ "ㄓㄥ1"
+ ],
+ "嶓": [
+ "ㄅㄛ1"
+ ],
+ "嶔": [
+ "ㄑㄧㄣ1"
+ ],
+ "嶕": [
+ "ㄐㄧㄠ1"
+ ],
+ "嶖": [
+ "ㄧㄢ1"
+ ],
+ "嶗": [
+ "ㄌㄠ2"
+ ],
+ "嶘": [
+ "ㄓㄢ4"
+ ],
+ "嶙": [
+ "ㄌㄧㄣ2",
+ "ㄌㄧㄣ3"
+ ],
+ "嶚": [
+ "ㄌㄧㄠ2"
+ ],
+ "嶛": [
+ "ㄌㄧㄠ2"
+ ],
+ "嶜": [
+ "ㄐㄧㄣ1",
+ "ㄑㄧㄣ2"
+ ],
+ "嶝": [
+ "ㄉㄥ4"
+ ],
+ "嶞": [
+ "ㄉㄨㄛ4"
+ ],
+ "嶟": [
+ "ㄗㄨㄣ1"
+ ],
+ "嶠": [
+ "ㄐㄧㄠ4",
+ "ㄑㄧㄠ2"
+ ],
+ "嶡": [
+ "ㄍㄨㄟ4",
+ "ㄐㄩㄝ2"
+ ],
+ "嶢": [
+ "ㄧㄠ2"
+ ],
+ "嶣": [
+ "ㄐㄧㄠ1"
+ ],
+ "嶤": [
+ "ㄧㄠ2"
+ ],
+ "嶥": [
+ "ㄐㄩㄝ2"
+ ],
+ "嶦": [
+ "ㄓㄢ1",
+ "ㄕㄢ4"
+ ],
+ "嶧": [
+ "ㄧ4"
+ ],
+ "嶨": [
+ "ㄒㄩㄝ2"
+ ],
+ "嶩": [
+ "ㄋㄠ2"
+ ],
+ "嶪": [
+ "ㄧㄝ4"
+ ],
+ "嶫": [
+ "ㄧㄝ4"
+ ],
+ "嶬": [
+ "ㄧ2",
+ "ㄧ3"
+ ],
+ "嶭": [
+ "ㄋㄧㄝ4"
+ ],
+ "嶮": [
+ "ㄒㄧㄢ3",
+ "ㄧㄢ3"
+ ],
+ "嶯": [
+ "ㄐㄧ2"
+ ],
+ "嶰": [
+ "ㄒㄧㄝ4",
+ "ㄐㄧㄝ4"
+ ],
+ "嶱": [
+ "ㄎㄜ3"
+ ],
+ "嶲": [
+ "ㄒㄧ1"
+ ],
+ "嶳": [
+ "ㄉㄧ4"
+ ],
+ "嶴": [
+ "ㄠ4"
+ ],
+ "嶵": [
+ "ㄗㄨㄟ3"
+ ],
+ "嶶": [
+ "ㄨㄟ1"
+ ],
+ "嶷": [
+ "ㄧ2",
+ "ㄋㄧ4"
+ ],
+ "嶸": [
+ "ㄖㄨㄥ2"
+ ],
+ "嶹": [
+ "ㄉㄠ3"
+ ],
+ "嶺": [
+ "ㄌㄧㄥ3"
+ ],
+ "嶻": [
+ "ㄐㄧㄝ2"
+ ],
+ "嶼": [
+ "ㄩ3",
+ "ㄒㄩ4"
+ ],
+ "嶽": [
+ "ㄩㄝ4"
+ ],
+ "嶾": [
+ "ㄧㄣ3"
+ ],
+ "嶿": [
+ "ㄖㄨ5"
+ ],
+ "巀": [
+ "ㄐㄧㄝ2"
+ ],
+ "巁": [
+ "ㄌㄧ4",
+ "ㄌㄧㄝ4"
+ ],
+ "巂": [
+ "ㄍㄨㄟ1",
+ "ㄒㄧ1",
+ "ㄐㄩㄢ4"
+ ],
+ "巃": [
+ "ㄌㄨㄥ2"
+ ],
+ "巄": [
+ "ㄌㄨㄥ2"
+ ],
+ "巅": [
+ "ㄉㄧㄢ1"
+ ],
+ "巆": [
+ "ㄖㄨㄥ2",
+ "ㄏㄨㄥ1",
+ "ㄧㄥ2"
+ ],
+ "巇": [
+ "ㄒㄧ1"
+ ],
+ "巈": [
+ "ㄐㄩ2"
+ ],
+ "巉": [
+ "ㄔㄢ2"
+ ],
+ "巊": [
+ "ㄧㄥ3"
+ ],
+ "巋": [
+ "ㄎㄨㄟ1",
+ "ㄎㄨㄟ4",
+ "ㄨㄟ3"
+ ],
+ "巌": [
+ "ㄧㄢ2"
+ ],
+ "巍": [
+ "ㄨㄟ1"
+ ],
+ "巎": [
+ "ㄋㄠ2"
+ ],
+ "巏": [
+ "ㄑㄩㄢ2"
+ ],
+ "巐": [
+ "ㄔㄠ3"
+ ],
+ "巑": [
+ "ㄘㄨㄢ2"
+ ],
+ "巒": [
+ "ㄌㄨㄢ2"
+ ],
+ "巓": [
+ "ㄉㄧㄢ1"
+ ],
+ "巔": [
+ "ㄉㄧㄢ1"
+ ],
+ "巕": [
+ "ㄋㄧㄝ4"
+ ],
+ "巖": [
+ "ㄧㄢ2"
+ ],
+ "巗": [
+ "ㄧㄢ2"
+ ],
+ "巘": [
+ "ㄧㄢ3"
+ ],
+ "巙": [
+ "ㄎㄨㄟ2",
+ "ㄋㄠ2"
+ ],
+ "巚": [
+ "ㄧㄢ3"
+ ],
+ "巛": [
+ "ㄔㄨㄢ1",
+ "ㄕㄨㄣ4"
+ ],
+ "巜": [
+ "ㄎㄨㄞ4",
+ "ㄏㄨㄢ1"
+ ],
+ "川": [
+ "ㄔㄨㄢ1"
+ ],
+ "州": [
+ "ㄓㄡ1"
+ ],
+ "巟": [
+ "ㄏㄨㄤ1"
+ ],
+ "巠": [
+ "ㄐㄧㄥ1",
+ "ㄒㄧㄥ2"
+ ],
+ "巡": [
+ "ㄒㄩㄣ2",
+ "ㄧㄢ2",
+ "ㄕㄨㄣ4"
+ ],
+ "巢": [
+ "ㄔㄠ2",
+ "ㄔㄠ4"
+ ],
+ "巣": [
+ "ㄔㄠ2"
+ ],
+ "巤": [
+ "ㄌㄧㄝ4"
+ ],
+ "工": [
+ "ㄍㄨㄥ1"
+ ],
+ "左": [
+ "ㄗㄨㄛ3"
+ ],
+ "巧": [
+ "ㄑㄧㄠ3"
+ ],
+ "巨": [
+ "ㄐㄩ4",
+ "ㄑㄩ2"
+ ],
+ "巩": [
+ "ㄍㄨㄥ3"
+ ],
+ "巪": [
+ "ㄐㄩ4"
+ ],
+ "巫": [
+ "ㄨ1"
+ ],
+ "巬": [
+ "ㄆㄨ5"
+ ],
+ "巭": [
+ "ㄆㄨ5"
+ ],
+ "差": [
+ "ㄔㄚ4",
+ "ㄔㄚ1",
+ "ㄔㄞ1",
+ "ㄘ1",
+ "ㄔㄞ4",
+ "ㄘㄨㄛ1",
+ "ㄐㄧㄝ1"
+ ],
+ "巯": [
+ "ㄑㄧㄡ2"
+ ],
+ "巰": [
+ "ㄑㄧㄡ2"
+ ],
+ "己": [
+ "ㄐㄧ3",
+ "ㄑㄧ3"
+ ],
+ "已": [
+ "ㄧ3",
+ "ㄙ4"
+ ],
+ "巳": [
+ "ㄙ4",
+ "ㄧ3"
+ ],
+ "巴": [
+ "ㄅㄚ1"
+ ],
+ "巵": [
+ "ㄓ1"
+ ],
+ "巶": [
+ "ㄓㄠ1"
+ ],
+ "巷": [
+ "ㄒㄧㄤ4",
+ "ㄏㄤ4"
+ ],
+ "巸": [
+ "ㄧ2"
+ ],
+ "巹": [
+ "ㄐㄧㄣ3"
+ ],
+ "巺": [
+ "ㄒㄩㄣ4"
+ ],
+ "巻": [
+ "ㄐㄩㄢ4"
+ ],
+ "巼": [
+ "ㄅㄚ1"
+ ],
+ "巽": [
+ "ㄒㄩㄣ4",
+ "ㄓㄨㄢ4"
+ ],
+ "巾": [
+ "ㄐㄧㄣ1"
+ ],
+ "巿": [
+ "ㄈㄨ2",
+ "ㄆㄛ2"
+ ],
+ "帀": [
+ "ㄗㄚ1"
+ ],
+ "币": [
+ "ㄅㄧ4",
+ "ㄧㄣ4"
+ ],
+ "市": [
+ "ㄕ4",
+ "ㄈㄨ2"
+ ],
+ "布": [
+ "ㄅㄨ4"
+ ],
+ "帄": [
+ "ㄉㄧㄥ1"
+ ],
+ "帅": [
+ "ㄕㄨㄞ4"
+ ],
+ "帆": [
+ "ㄈㄢ1",
+ "ㄈㄢ2",
+ "ㄈㄢ4"
+ ],
+ "帇": [
+ "ㄋㄧㄝ4"
+ ],
+ "师": [
+ "ㄕ1"
+ ],
+ "帉": [
+ "ㄈㄣ1"
+ ],
+ "帊": [
+ "ㄆㄚ4",
+ "ㄆㄚ1"
+ ],
+ "帋": [
+ "ㄓ3"
+ ],
+ "希": [
+ "ㄒㄧ1"
+ ],
+ "帍": [
+ "ㄏㄨ4"
+ ],
+ "帎": [
+ "ㄉㄢ4"
+ ],
+ "帏": [
+ "ㄨㄟ2"
+ ],
+ "帐": [
+ "ㄓㄤ4"
+ ],
+ "帑": [
+ "ㄊㄤ3",
+ "ㄋㄨ2"
+ ],
+ "帒": [
+ "ㄉㄞ4"
+ ],
+ "帓": [
+ "ㄇㄛ4",
+ "ㄨㄚ4"
+ ],
+ "帔": [
+ "ㄆㄟ4",
+ "ㄆㄧ1"
+ ],
+ "帕": [
+ "ㄆㄚ4",
+ "ㄇㄛ4"
+ ],
+ "帖": [
+ "ㄊㄧㄝ1",
+ "ㄊㄧㄝ3",
+ "ㄊㄧㄝ4"
+ ],
+ "帗": [
+ "ㄅㄛ1",
+ "ㄈㄨ2"
+ ],
+ "帘": [
+ "ㄌㄧㄢ2",
+ "ㄔㄣ2"
+ ],
+ "帙": [
+ "ㄓ4"
+ ],
+ "帚": [
+ "ㄓㄡ3"
+ ],
+ "帛": [
+ "ㄅㄛ2"
+ ],
+ "帜": [
+ "ㄓ4"
+ ],
+ "帝": [
+ "ㄉㄧ4"
+ ],
+ "帞": [
+ "ㄇㄛ4"
+ ],
+ "帟": [
+ "ㄧ4"
+ ],
+ "帠": [
+ "ㄧ4"
+ ],
+ "帡": [
+ "ㄆㄧㄥ2"
+ ],
+ "帢": [
+ "ㄑㄧㄚ4"
+ ],
+ "帣": [
+ "ㄐㄩㄢ3",
+ "ㄐㄩㄢ4"
+ ],
+ "帤": [
+ "ㄖㄨ2"
+ ],
+ "帥": [
+ "ㄕㄨㄞ4"
+ ],
+ "带": [
+ "ㄉㄞ4"
+ ],
+ "帧": [
+ "ㄓㄣ1",
+ "ㄓㄥ4"
+ ],
+ "帨": [
+ "ㄕㄨㄟ4"
+ ],
+ "帩": [
+ "ㄑㄧㄠ4"
+ ],
+ "帪": [
+ "ㄓㄣ1"
+ ],
+ "師": [
+ "ㄕ1"
+ ],
+ "帬": [
+ "ㄑㄩㄣ2"
+ ],
+ "席": [
+ "ㄒㄧ2"
+ ],
+ "帮": [
+ "ㄅㄤ1"
+ ],
+ "帯": [
+ "ㄉㄞ4"
+ ],
+ "帰": [
+ "ㄍㄨㄟ1"
+ ],
+ "帱": [
+ "ㄔㄡ2",
+ "ㄉㄠ4"
+ ],
+ "帲": [
+ "ㄆㄧㄥ2"
+ ],
+ "帳": [
+ "ㄓㄤ4"
+ ],
+ "帴": [
+ "ㄙㄢ4",
+ "ㄐㄧㄢ3",
+ "ㄐㄧㄢ1"
+ ],
+ "帵": [
+ "ㄨㄢ1"
+ ],
+ "帶": [
+ "ㄉㄞ4"
+ ],
+ "帷": [
+ "ㄨㄟ2"
+ ],
+ "常": [
+ "ㄔㄤ2"
+ ],
+ "帹": [
+ "ㄕㄚ4",
+ "ㄑㄧㄝ4"
+ ],
+ "帺": [
+ "ㄑㄧ2",
+ "ㄐㄧ4"
+ ],
+ "帻": [
+ "ㄗㄜ2"
+ ],
+ "帼": [
+ "ㄍㄨㄛ2"
+ ],
+ "帽": [
+ "ㄇㄠ4"
+ ],
+ "帾": [
+ "ㄉㄨ3"
+ ],
+ "帿": [
+ "ㄏㄡ2"
+ ],
+ "幀": [
+ "ㄓㄥ4"
+ ],
+ "幁": [
+ "ㄒㄩ1"
+ ],
+ "幂": [
+ "ㄇㄧ4"
+ ],
+ "幃": [
+ "ㄨㄟ2"
+ ],
+ "幄": [
+ "ㄨㄛ4"
+ ],
+ "幅": [
+ "ㄈㄨ2",
+ "ㄅㄧ1"
+ ],
+ "幆": [
+ "ㄧ4",
+ "ㄎㄞ4"
+ ],
+ "幇": [
+ "ㄅㄤ1"
+ ],
+ "幈": [
+ "ㄆㄧㄥ2"
+ ],
+ "幉": [
+ "ㄉㄧㄝ2"
+ ],
+ "幊": [
+ "ㄍㄨㄥ1"
+ ],
+ "幋": [
+ "ㄆㄢ2"
+ ],
+ "幌": [
+ "ㄏㄨㄤ3"
+ ],
+ "幍": [
+ "ㄊㄠ1"
+ ],
+ "幎": [
+ "ㄇㄧ4"
+ ],
+ "幏": [
+ "ㄐㄧㄚ4"
+ ],
+ "幐": [
+ "ㄊㄥ2"
+ ],
+ "幑": [
+ "ㄏㄨㄟ1"
+ ],
+ "幒": [
+ "ㄓㄨㄥ1"
+ ],
+ "幓": [
+ "ㄕㄢ1",
+ "ㄕㄣ1",
+ "ㄑㄧㄠ1"
+ ],
+ "幔": [
+ "ㄇㄢ4"
+ ],
+ "幕": [
+ "ㄇㄨ4",
+ "ㄇㄢ4"
+ ],
+ "幖": [
+ "ㄅㄧㄠ1"
+ ],
+ "幗": [
+ "ㄍㄨㄛ2"
+ ],
+ "幘": [
+ "ㄗㄜ2",
+ "ㄘㄜ4"
+ ],
+ "幙": [
+ "ㄇㄨ4"
+ ],
+ "幚": [
+ "ㄅㄤ1"
+ ],
+ "幛": [
+ "ㄓㄤ4"
+ ],
+ "幜": [
+ "ㄐㄧㄥ3"
+ ],
+ "幝": [
+ "ㄔㄢ3",
+ "ㄔㄢ4"
+ ],
+ "幞": [
+ "ㄈㄨ2"
+ ],
+ "幟": [
+ "ㄓ4"
+ ],
+ "幠": [
+ "ㄏㄨ1",
+ "ㄨ2"
+ ],
+ "幡": [
+ "ㄈㄢ1"
+ ],
+ "幢": [
+ "ㄔㄨㄤ2",
+ "ㄓㄨㄤ4"
+ ],
+ "幣": [
+ "ㄅㄧ4"
+ ],
+ "幤": [
+ "ㄅㄧ4"
+ ],
+ "幥": [
+ "ㄓㄤ3"
+ ],
+ "幦": [
+ "ㄇㄧ4"
+ ],
+ "幧": [
+ "ㄑㄧㄠ1"
+ ],
+ "幨": [
+ "ㄔㄢ1",
+ "ㄔㄢ4"
+ ],
+ "幩": [
+ "ㄈㄣ2",
+ "ㄈㄣ4"
+ ],
+ "幪": [
+ "ㄇㄥ2",
+ "ㄇㄥ3"
+ ],
+ "幫": [
+ "ㄅㄤ1"
+ ],
+ "幬": [
+ "ㄔㄡ2",
+ "ㄉㄠ4"
+ ],
+ "幭": [
+ "ㄇㄧㄝ4"
+ ],
+ "幮": [
+ "ㄔㄨ2"
+ ],
+ "幯": [
+ "ㄐㄧㄝ2"
+ ],
+ "幰": [
+ "ㄒㄧㄢ3"
+ ],
+ "幱": [
+ "ㄌㄢ2"
+ ],
+ "干": [
+ "ㄍㄢ4",
+ "ㄍㄢ1",
+ "ㄢ4"
+ ],
+ "平": [
+ "ㄆㄧㄥ2",
+ "ㄆㄧㄢ2",
+ "ㄅㄧㄥ4",
+ "ㄅㄥ1"
+ ],
+ "年": [
+ "ㄋㄧㄢ2",
+ "ㄋㄧㄥ4"
+ ],
+ "幵": [
+ "ㄐㄧㄢ1",
+ "ㄑㄧㄢ1"
+ ],
+ "并": [
+ "ㄅㄧㄥ4",
+ "ㄅㄧㄥ1"
+ ],
+ "幷": [
+ "ㄅㄧㄥ4",
+ "ㄅㄧㄥ1"
+ ],
+ "幸": [
+ "ㄒㄧㄥ4",
+ "ㄋㄧㄝ4"
+ ],
+ "幹": [
+ "ㄍㄢ4",
+ "ㄍㄢ1",
+ "ㄏㄢ2",
+ "ㄍㄨㄢ3"
+ ],
+ "幺": [
+ "ㄧㄠ1",
+ "ㄇㄧ4"
+ ],
+ "幻": [
+ "ㄏㄨㄢ4"
+ ],
+ "幼": [
+ "ㄧㄡ4",
+ "ㄧㄠ4"
+ ],
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+ "ㄌㄤ3"
+ ],
+ "患": [
+ "ㄏㄨㄢ4"
+ ],
+ "悤": [
+ "ㄘㄨㄥ1"
+ ],
+ "悥": [
+ "ㄧ4"
+ ],
+ "悦": [
+ "ㄩㄝ4"
+ ],
+ "悧": [
+ "ㄌㄧ4"
+ ],
+ "您": [
+ "ㄋㄧㄣ2"
+ ],
+ "悩": [
+ "ㄋㄠ3"
+ ],
+ "悪": [
+ "ㄜ4"
+ ],
+ "悫": [
+ "ㄑㄩㄝ4"
+ ],
+ "悬": [
+ "ㄒㄩㄢ2"
+ ],
+ "悭": [
+ "ㄑㄧㄢ1"
+ ],
+ "悮": [
+ "ㄨ4"
+ ],
+ "悯": [
+ "ㄇㄧㄣ3"
+ ],
+ "悰": [
+ "ㄘㄨㄥ2"
+ ],
+ "悱": [
+ "ㄈㄟ3"
+ ],
+ "悲": [
+ "ㄅㄟ1"
+ ],
+ "悳": [
+ "ㄉㄜ2"
+ ],
+ "悴": [
+ "ㄘㄨㄟ4"
+ ],
+ "悵": [
+ "ㄔㄤ4"
+ ],
+ "悶": [
+ "ㄇㄣ4",
+ "ㄇㄣ1"
+ ],
+ "悷": [
+ "ㄌㄧ4"
+ ],
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+ "ㄐㄧ4"
+ ],
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+ "ㄍㄨㄢ4"
+ ],
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+ "ㄍㄨㄢ4"
+ ],
+ "悻": [
+ "ㄒㄧㄥ4"
+ ],
+ "悼": [
+ "ㄉㄠ4"
+ ],
+ "悽": [
+ "ㄑㄧ1",
+ "ㄑㄧ4"
+ ],
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+ "ㄎㄨㄥ1",
+ "ㄎㄨㄥ3"
+ ],
+ "悿": [
+ "ㄊㄧㄢ3"
+ ],
+ "惀": [
+ "ㄌㄨㄣ2",
+ "ㄌㄨㄣ4"
+ ],
+ "惁": [
+ "ㄒㄧ1"
+ ],
+ "惂": [
+ "ㄎㄢ3"
+ ],
+ "惃": [
+ "ㄍㄨㄣ3"
+ ],
+ "惄": [
+ "ㄋㄧ4"
+ ],
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+ "ㄑㄧㄥ2"
+ ],
+ "惆": [
+ "ㄔㄡ2",
+ "ㄑㄧㄡ1",
+ "ㄉㄠ1"
+ ],
+ "惇": [
+ "ㄉㄨㄣ1"
+ ],
+ "惈": [
+ "ㄍㄨㄛ3"
+ ],
+ "惉": [
+ "ㄓㄢ1"
+ ],
+ "惊": [
+ "ㄐㄧㄥ1",
+ "ㄌㄧㄤ2"
+ ],
+ "惋": [
+ "ㄨㄢ3"
+ ],
+ "惌": [
+ "ㄩㄢ1",
+ "ㄨㄢ3",
+ "ㄩ4"
+ ],
+ "惍": [
+ "ㄐㄧㄣ1"
+ ],
+ "惎": [
+ "ㄐㄧ4"
+ ],
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+ "ㄌㄢ2",
+ "ㄌㄧㄣ2"
+ ],
+ "惐": [
+ "ㄩ4",
+ "ㄒㄩ4"
+ ],
+ "惑": [
+ "ㄏㄨㄛ4"
+ ],
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+ "ㄏㄜ2"
+ ],
+ "惓": [
+ "ㄑㄩㄢ2",
+ "ㄐㄩㄢ4"
+ ],
+ "惔": [
+ "ㄊㄢ2",
+ "ㄉㄢ4"
+ ],
+ "惕": [
+ "ㄊㄧ4"
+ ],
+ "惖": [
+ "ㄊㄧ4"
+ ],
+ "惗": [
+ "ㄋㄧㄝ4"
+ ],
+ "惘": [
+ "ㄨㄤ3"
+ ],
+ "惙": [
+ "ㄔㄨㄛ4",
+ "ㄔㄨㄟ4"
+ ],
+ "惚": [
+ "ㄏㄨ1"
+ ],
+ "惛": [
+ "ㄏㄨㄣ1",
+ "ㄏㄨㄣ3",
+ "ㄇㄣ4"
+ ],
+ "惜": [
+ "ㄒㄧ1"
+ ],
+ "惝": [
+ "ㄔㄤ3",
+ "ㄊㄤ3"
+ ],
+ "惞": [
+ "ㄒㄧㄣ1"
+ ],
+ "惟": [
+ "ㄨㄟ2",
+ "ㄨㄟ3"
+ ],
+ "惠": [
+ "ㄏㄨㄟ4"
+ ],
+ "惡": [
+ "ㄜ4",
+ "ㄨ4",
+ "ㄨ1",
+ "ㄜ3",
+ "ㄏㄨ1"
+ ],
+ "惢": [
+ "ㄙㄨㄛ3",
+ "ㄖㄨㄟ3"
+ ],
+ "惣": [
+ "ㄗㄨㄥ3"
+ ],
+ "惤": [
+ "ㄐㄧㄢ1"
+ ],
+ "惥": [
+ "ㄩㄥ3"
+ ],
+ "惦": [
+ "ㄉㄧㄢ4"
+ ],
+ "惧": [
+ "ㄐㄩ4"
+ ],
+ "惨": [
+ "ㄘㄢ3"
+ ],
+ "惩": [
+ "ㄔㄥ2"
+ ],
+ "惪": [
+ "ㄉㄜ2"
+ ],
+ "惫": [
+ "ㄅㄟ4"
+ ],
+ "惬": [
+ "ㄑㄧㄝ4"
+ ],
+ "惭": [
+ "ㄘㄢ2"
+ ],
+ "惮": [
+ "ㄉㄢ4"
+ ],
+ "惯": [
+ "ㄍㄨㄢ4"
+ ],
+ "惰": [
+ "ㄉㄨㄛ4",
+ "ㄊㄨㄛ2"
+ ],
+ "惱": [
+ "ㄋㄠ3"
+ ],
+ "惲": [
+ "ㄩㄣ4"
+ ],
+ "想": [
+ "ㄒㄧㄤ3"
+ ],
+ "惴": [
+ "ㄓㄨㄟ4",
+ "ㄔㄨㄢ3",
+ "ㄍㄨㄚ4"
+ ],
+ "惵": [
+ "ㄉㄧㄝ2",
+ "ㄊㄧㄝ1"
+ ],
+ "惶": [
+ "ㄏㄨㄤ2"
+ ],
+ "惷": [
+ "ㄔㄨㄣ3"
+ ],
+ "惸": [
+ "ㄑㄩㄥ2"
+ ],
+ "惹": [
+ "ㄖㄜ3",
+ "ㄖㄨㄛ4"
+ ],
+ "惺": [
+ "ㄒㄧㄥ1"
+ ],
+ "惻": [
+ "ㄘㄜ4"
+ ],
+ "惼": [
+ "ㄅㄧㄢ3"
+ ],
+ "惽": [
+ "ㄇㄧㄣ3",
+ "ㄏㄨㄣ1"
+ ],
+ "惾": [
+ "ㄗㄨㄥ1"
+ ],
+ "惿": [
+ "ㄊㄧ2",
+ "ㄕ4"
+ ],
+ "愀": [
+ "ㄑㄧㄠ3",
+ "ㄑㄧㄡ4"
+ ],
+ "愁": [
+ "ㄔㄡ2",
+ "ㄑㄧㄠ3",
+ "ㄐㄧㄡ1"
+ ],
+ "愂": [
+ "ㄅㄟ4"
+ ],
+ "愃": [
+ "ㄒㄩㄢ1"
+ ],
+ "愄": [
+ "ㄨㄟ1"
+ ],
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+ "ㄍㄜ2"
+ ],
+ "愆": [
+ "ㄑㄧㄢ1"
+ ],
+ "愇": [
+ "ㄨㄟ3"
+ ],
+ "愈": [
+ "ㄩ4"
+ ],
+ "愉": [
+ "ㄩ2",
+ "ㄊㄡ1",
+ "ㄩ3"
+ ],
+ "愊": [
+ "ㄅㄧ4"
+ ],
+ "愋": [
+ "ㄒㄩㄢ1"
+ ],
+ "愌": [
+ "ㄏㄨㄢ4"
+ ],
+ "愍": [
+ "ㄇㄧㄣ3",
+ "ㄈㄣ1"
+ ],
+ "愎": [
+ "ㄅㄧ4"
+ ],
+ "意": [
+ "ㄧ4",
+ "ㄧ1"
+ ],
+ "愐": [
+ "ㄇㄧㄢ3"
+ ],
+ "愑": [
+ "ㄩㄥ3"
+ ],
+ "愒": [
+ "ㄎㄞ4",
+ "ㄑㄧ4",
+ "ㄏㄜ4"
+ ],
+ "愓": [
+ "ㄉㄤ4",
+ "ㄕㄤ1",
+ "ㄊㄤ2",
+ "ㄧㄤ2"
+ ],
+ "愔": [
+ "ㄧㄣ1"
+ ],
+ "愕": [
+ "ㄜ4"
+ ],
+ "愖": [
+ "ㄔㄣ2",
+ "ㄉㄢ1",
+ "ㄒㄧㄣ4"
+ ],
+ "愗": [
+ "ㄇㄠ4"
+ ],
+ "愘": [
+ "ㄑㄧㄚ4",
+ "ㄑㄧㄚ1",
+ "ㄎㄜ4"
+ ],
+ "愙": [
+ "ㄎㄜ4"
+ ],
+ "愚": [
+ "ㄩ2"
+ ],
+ "愛": [
+ "ㄞ4"
+ ],
+ "愜": [
+ "ㄑㄧㄝ4"
+ ],
+ "愝": [
+ "ㄧㄢ3"
+ ],
+ "愞": [
+ "ㄋㄨㄛ4"
+ ],
+ "感": [
+ "ㄍㄢ3",
+ "ㄏㄢ4"
+ ],
+ "愠": [
+ "ㄩㄣ4",
+ "ㄩㄣ3",
+ "ㄨㄣ3"
+ ],
+ "愡": [
+ "ㄗㄨㄥ3"
+ ],
+ "愢": [
+ "ㄙㄞ1",
+ "ㄙ1",
+ "ㄙ3"
+ ],
+ "愣": [
+ "ㄌㄥ4"
+ ],
+ "愤": [
+ "ㄈㄣ4"
+ ],
+ "愥": [
+ "ㄧㄥ1"
+ ],
+ "愦": [
+ "ㄎㄨㄟ4"
+ ],
+ "愧": [
+ "ㄎㄨㄟ4"
+ ],
+ "愨": [
+ "ㄑㄩㄝ4"
+ ],
+ "愩": [
+ "ㄍㄨㄥ1",
+ "ㄍㄨㄥ4",
+ "ㄏㄨㄥ3"
+ ],
+ "愪": [
+ "ㄩㄣ2"
+ ],
+ "愫": [
+ "ㄙㄨ4"
+ ],
+ "愬": [
+ "ㄙㄨ4",
+ "ㄙㄜ4"
+ ],
+ "愭": [
+ "ㄑㄧ2"
+ ],
+ "愮": [
+ "ㄧㄠ2",
+ "ㄧㄠ4"
+ ],
+ "愯": [
+ "ㄙㄨㄥ3"
+ ],
+ "愰": [
+ "ㄏㄨㄤ4",
+ "ㄏㄨㄤ3"
+ ],
+ "愱": [
+ "ㄐㄧ2"
+ ],
+ "愲": [
+ "ㄍㄨ3"
+ ],
+ "愳": [
+ "ㄐㄩ4"
+ ],
+ "愴": [
+ "ㄔㄨㄤ4",
+ "ㄔㄨㄤ3"
+ ],
+ "愵": [
+ "ㄋㄧ4"
+ ],
+ "愶": [
+ "ㄒㄧㄝ2"
+ ],
+ "愷": [
+ "ㄎㄞ3"
+ ],
+ "愸": [
+ "ㄓㄥ3"
+ ],
+ "愹": [
+ "ㄩㄥ3"
+ ],
+ "愺": [
+ "ㄘㄠ3"
+ ],
+ "愻": [
+ "ㄒㄩㄣ4"
+ ],
+ "愼": [
+ "ㄕㄣ4"
+ ],
+ "愽": [
+ "ㄅㄛ2"
+ ],
+ "愾": [
+ "ㄎㄞ4",
+ "ㄒㄧ4",
+ "ㄑㄧ4"
+ ],
+ "愿": [
+ "ㄩㄢ4"
+ ],
+ "慀": [
+ "ㄒㄧ4",
+ "ㄒㄧㄝ2"
+ ],
+ "慁": [
+ "ㄏㄨㄣ4"
+ ],
+ "慂": [
+ "ㄩㄥ3"
+ ],
+ "慃": [
+ "ㄧㄤ3"
+ ],
+ "慄": [
+ "ㄌㄧ4"
+ ],
+ "慅": [
+ "ㄙㄠ1",
+ "ㄘㄠ3"
+ ],
+ "慆": [
+ "ㄊㄠ1"
+ ],
+ "慇": [
+ "ㄧㄣ1"
+ ],
+ "慈": [
+ "ㄘ2"
+ ],
+ "慉": [
+ "ㄒㄩ4",
+ "ㄔㄨ4"
+ ],
+ "慊": [
+ "ㄑㄧㄢ4",
+ "ㄑㄧㄝ4",
+ "ㄒㄧㄢ2",
+ "ㄑㄧㄢ3"
+ ],
+ "態": [
+ "ㄊㄞ4"
+ ],
+ "慌": [
+ "ㄏㄨㄤ1",
+ "ㄏㄨㄤ3",
+ "ㄏㄨㄤ5"
+ ],
+ "慍": [
+ "ㄩㄣ4"
+ ],
+ "慎": [
+ "ㄕㄣ4",
+ "ㄓㄣ4"
+ ],
+ "慏": [
+ "ㄇㄧㄥ3"
+ ],
+ "慐": [
+ "ㄍㄨㄥ5"
+ ],
+ "慑": [
+ "ㄕㄜ4"
+ ],
+ "慒": [
+ "ㄘㄨㄥ2",
+ "ㄘㄠ2"
+ ],
+ "慓": [
+ "ㄆㄧㄠ1",
+ "ㄆㄧㄠ4"
+ ],
+ "慔": [
+ "ㄇㄨ4"
+ ],
+ "慕": [
+ "ㄇㄨ4"
+ ],
+ "慖": [
+ "ㄍㄨㄛ2"
+ ],
+ "慗": [
+ "ㄔ4"
+ ],
+ "慘": [
+ "ㄘㄢ3"
+ ],
+ "慙": [
+ "ㄘㄢ2"
+ ],
+ "慚": [
+ "ㄘㄢ2"
+ ],
+ "慛": [
+ "ㄘㄨㄟ1"
+ ],
+ "慜": [
+ "ㄇㄧㄣ3"
+ ],
+ "慝": [
+ "ㄊㄜ4",
+ "ㄋㄧ4"
+ ],
+ "慞": [
+ "ㄓㄤ1"
+ ],
+ "慟": [
+ "ㄊㄨㄥ4"
+ ],
+ "慠": [
+ "ㄠ4",
+ "ㄠ2"
+ ],
+ "慡": [
+ "ㄕㄨㄤ3"
+ ],
+ "慢": [
+ "ㄇㄢ4",
+ "ㄇㄢ2"
+ ],
+ "慣": [
+ "ㄍㄨㄢ4"
+ ],
+ "慤": [
+ "ㄑㄩㄝ4"
+ ],
+ "慥": [
+ "ㄗㄠ4",
+ "ㄘㄠ4"
+ ],
+ "慦": [
+ "ㄐㄧㄡ4"
+ ],
+ "慧": [
+ "ㄏㄨㄟ4"
+ ],
+ "慨": [
+ "ㄎㄞ3"
+ ],
+ "慩": [
+ "ㄌㄧㄢ2"
+ ],
+ "慪": [
+ "ㄡ4",
+ "ㄡ1"
+ ],
+ "慫": [
+ "ㄙㄨㄥ3"
+ ],
+ "慬": [
+ "ㄑㄧㄣ2",
+ "ㄐㄧㄣ4",
+ "ㄐㄧㄣ3"
+ ],
+ "慭": [
+ "ㄧㄣ4"
+ ],
+ "慮": [
+ "ㄌㄩ4",
+ "ㄌㄩ2"
+ ],
+ "慯": [
+ "ㄕㄤ1"
+ ],
+ "慰": [
+ "ㄨㄟ4"
+ ],
+ "慱": [
+ "ㄊㄨㄢ2"
+ ],
+ "慲": [
+ "ㄇㄢ2"
+ ],
+ "慳": [
+ "ㄑㄧㄢ1",
+ "ㄒㄧㄢ2"
+ ],
+ "慴": [
+ "ㄕㄜ4",
+ "ㄓㄜ2"
+ ],
+ "慵": [
+ "ㄩㄥ1"
+ ],
+ "慶": [
+ "ㄑㄧㄥ4",
+ "ㄑㄧㄥ1",
+ "ㄑㄧㄤ1"
+ ],
+ "慷": [
+ "ㄎㄤ1"
+ ],
+ "慸": [
+ "ㄉㄧ4",
+ "ㄔ4"
+ ],
+ "慹": [
+ "ㄓ2",
+ "ㄓㄜ2"
+ ],
+ "慺": [
+ "ㄌㄡ2",
+ "ㄌㄩ3"
+ ],
+ "慻": [
+ "ㄐㄩㄢ4"
+ ],
+ "慼": [
+ "ㄑㄧ1"
+ ],
+ "慽": [
+ "ㄑㄧ1"
+ ],
+ "慾": [
+ "ㄩ4"
+ ],
+ "慿": [
+ "ㄆㄧㄥ2"
+ ],
+ "憀": [
+ "ㄌㄧㄠ2"
+ ],
+ "憁": [
+ "ㄘㄨㄥ4",
+ "ㄙㄨㄥ1"
+ ],
+ "憂": [
+ "ㄧㄡ1"
+ ],
+ "憃": [
+ "ㄔㄨㄥ1"
+ ],
+ "憄": [
+ "ㄓ4"
+ ],
+ "憅": [
+ "ㄊㄨㄥ4"
+ ],
+ "憆": [
+ "ㄔㄥ1"
+ ],
+ "憇": [
+ "ㄑㄧ4"
+ ],
+ "憈": [
+ "ㄑㄩ1"
+ ],
+ "憉": [
+ "ㄆㄥ2"
+ ],
+ "憊": [
+ "ㄅㄟ4"
+ ],
+ "憋": [
+ "ㄅㄧㄝ1"
+ ],
+ "憌": [
+ "ㄑㄩㄥ2"
+ ],
+ "憍": [
+ "ㄐㄧㄠ1"
+ ],
+ "憎": [
+ "ㄗㄥ1"
+ ],
+ "憏": [
+ "ㄔ4"
+ ],
+ "憐": [
+ "ㄌㄧㄢ2"
+ ],
+ "憑": [
+ "ㄆㄧㄥ2"
+ ],
+ "憒": [
+ "ㄎㄨㄟ4"
+ ],
+ "憓": [
+ "ㄏㄨㄟ4"
+ ],
+ "憔": [
+ "ㄑㄧㄠ2"
+ ],
+ "憕": [
+ "ㄔㄥ2",
+ "ㄓㄥ4",
+ "ㄉㄥ4"
+ ],
+ "憖": [
+ "ㄧㄣ4",
+ "ㄒㄧㄣ4",
+ "ㄧㄣ2"
+ ],
+ "憗": [
+ "ㄧㄣ4"
+ ],
+ "憘": [
+ "ㄒㄧ3",
+ "ㄒㄧ1"
+ ],
+ "憙": [
+ "ㄒㄧ1",
+ "ㄒㄧ3"
+ ],
+ "憚": [
+ "ㄉㄢ4",
+ "ㄉㄚ2",
+ "ㄔㄢ3"
+ ],
+ "憛": [
+ "ㄊㄢ2"
+ ],
+ "憜": [
+ "ㄉㄨㄛ4"
+ ],
+ "憝": [
+ "ㄉㄨㄟ4"
+ ],
+ "憞": [
+ "ㄉㄨㄟ4",
+ "ㄉㄨㄣ4",
+ "ㄊㄨㄣ1"
+ ],
+ "憟": [
+ "ㄙㄨ4"
+ ],
+ "憠": [
+ "ㄐㄩㄝ2"
+ ],
+ "憡": [
+ "ㄘㄜ4"
+ ],
+ "憢": [
+ "ㄒㄧㄠ1",
+ "ㄐㄧㄠ1"
+ ],
+ "憣": [
+ "ㄈㄢ1"
+ ],
+ "憤": [
+ "ㄈㄣ4"
+ ],
+ "憥": [
+ "ㄌㄠ2"
+ ],
+ "憦": [
+ "ㄌㄠ4",
+ "ㄌㄠ2"
+ ],
+ "憧": [
+ "ㄔㄨㄥ1",
+ "ㄓㄨㄤ4"
+ ],
+ "憨": [
+ "ㄏㄢ1"
+ ],
+ "憩": [
+ "ㄑㄧ4"
+ ],
+ "憪": [
+ "ㄒㄧㄢ2",
+ "ㄒㄧㄢ4"
+ ],
+ "憫": [
+ "ㄇㄧㄣ3"
+ ],
+ "憬": [
+ "ㄐㄧㄥ3"
+ ],
+ "憭": [
+ "ㄌㄧㄠ3",
+ "ㄌㄧㄠ2"
+ ],
+ "憮": [
+ "ㄨ3",
+ "ㄨ2"
+ ],
+ "憯": [
+ "ㄘㄢ3"
+ ],
+ "憰": [
+ "ㄐㄩㄝ2"
+ ],
+ "憱": [
+ "ㄘㄨ4"
+ ],
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+ ],
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+ ],
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+ "ㄓㄚ3"
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+ "ㄧ3",
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+ "ㄑㄧ4",
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+ "ㄍㄜ1"
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+ "ㄙㄠ4"
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+ ],
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+ "ㄔㄡ3",
+ "ㄓㄡ3",
+ "ㄓㄡ4"
+ ],
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+ "ㄈㄣ3",
+ "ㄈㄣ1",
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+ ],
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+ ],
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+ "ㄧㄡ4"
+ ],
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+ "ㄔㄚ1",
+ "ㄑㄧ4"
+ ],
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+ "ㄑㄧㄣ2"
+ ],
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+ "ㄆㄢ1"
+ ],
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+ "ㄆㄨ2"
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+ ],
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+ "ㄓㄜ2"
+ ],
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+ "ㄆㄧ2"
+ ],
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+ "ㄑㄧ2"
+ ],
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+ "ㄙㄨㄣ3",
+ "ㄎㄢ3"
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+ ],
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+ "ㄏㄨㄚ2"
+ ],
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+ "ㄓㄥ4"
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+ "ㄑㄧ2"
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+ "ㄨㄤ3"
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+ "ㄔㄠ3"
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+ "ㄆㄚ2"
+ ],
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+ ],
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+ ],
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+ "ㄉㄡ4"
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+ ],
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+ "ㄍㄤ1"
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+ "ㄓㄜ1",
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+ ],
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+ "ㄠ4",
+ "ㄋㄧㄡ4"
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+ ],
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+ "ㄌㄨㄣ2"
+ ],
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+ "ㄑㄧㄤ1"
+ ],
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+ ],
+ "护": [
+ "ㄏㄨ4"
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+ ],
+ "抦": [
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+ ],
+ "抧": [
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+ "ㄓㄞ3"
+ ],
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+ "ㄅㄥ1"
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+ ],
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+ "ㄆㄨ1",
+ "ㄅㄚ2"
+ ],
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+ "ㄆㄧ1"
+ ],
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+ "ㄔ1"
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+ "ㄧㄠ3",
+ "ㄊㄠ1"
+ ],
+ "抮": [
+ "ㄓㄣ3"
+ ],
+ "抯": [
+ "ㄓㄚ1"
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+ "抰": [
+ "ㄧㄤ1"
+ ],
+ "抱": [
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+ "ㄆㄠ1",
+ "ㄆㄡ3"
+ ],
+ "抲": [
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+ "ㄏㄜ4",
+ "ㄑㄧㄚ1"
+ ],
+ "抳": [
+ "ㄋㄧ3",
+ "ㄋㄧ2"
+ ],
+ "抴": [
+ "ㄧㄝ4",
+ "ㄕㄜ2"
+ ],
+ "抵": [
+ "ㄉㄧ3",
+ "ㄓ3",
+ "ㄑㄧ2"
+ ],
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+ "ㄔ4"
+ ],
+ "抷": [
+ "ㄆㄧ1",
+ "ㄆㄟ1"
+ ],
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+ "ㄐㄧㄚ1"
+ ],
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+ "ㄇㄛ3",
+ "ㄇㄚ1",
+ "ㄇㄛ4"
+ ],
+ "抺": [
+ "ㄇㄟ4"
+ ],
+ "抻": [
+ "ㄔㄣ1",
+ "ㄕㄣ1"
+ ],
+ "押": [
+ "ㄧㄚ1",
+ "ㄒㄧㄚ2",
+ "ㄐㄧㄚ3"
+ ],
+ "抽": [
+ "ㄔㄡ1"
+ ],
+ "抾": [
+ "ㄑㄩ1"
+ ],
+ "抿": [
+ "ㄇㄧㄣ3"
+ ],
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+ "ㄔㄨ4"
+ ],
+ "拁": [
+ "ㄐㄧㄚ1",
+ "ㄧㄚ2"
+ ],
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+ "ㄈㄨ2",
+ "ㄅㄧ4",
+ "ㄆㄧ4",
+ "ㄈㄟ4"
+ ],
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+ "ㄓㄚ3",
+ "ㄓㄢ3",
+ "ㄓㄚ4",
+ "ㄓㄚ2"
+ ],
+ "拄": [
+ "ㄓㄨ3"
+ ],
+ "担": [
+ "ㄉㄢ1",
+ "ㄉㄢ4",
+ "ㄉㄢ3",
+ "ㄐㄧㄝ1"
+ ],
+ "拆": [
+ "ㄔㄞ1",
+ "ㄔㄜ4",
+ "ㄔ4",
+ "ㄘㄚ1"
+ ],
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+ "ㄇㄨ3"
+ ],
+ "拈": [
+ "ㄋㄧㄢ1",
+ "ㄋㄧㄢ3",
+ "ㄉㄧㄢ1"
+ ],
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+ "ㄌㄚ1",
+ "ㄌㄚ2",
+ "ㄌㄚ3",
+ "ㄌㄚ4",
+ "ㄌㄚ5"
+ ],
+ "拊": [
+ "ㄈㄨ3",
+ "ㄈㄨ1",
+ "ㄅㄨ3"
+ ],
+ "拋": [
+ "ㄆㄠ1"
+ ],
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+ "ㄅㄢ4",
+ "ㄆㄢ1"
+ ],
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+ "ㄆㄞ1",
+ "ㄅㄛ2"
+ ],
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+ "ㄌㄧㄣ1",
+ "ㄌㄧㄥ1"
+ ],
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+ "ㄋㄚ2"
+ ],
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+ "ㄍㄨㄞ3"
+ ],
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+ "ㄑㄧㄢ2"
+ ],
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+ "ㄐㄩ4",
+ "ㄐㄩ3"
+ ],
+ "拓": [
+ "ㄊㄨㄛ4",
+ "ㄊㄚ4",
+ "ㄓ2"
+ ],
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+ "ㄅㄚ2",
+ "ㄅㄛ1",
+ "ㄅㄧㄝ2",
+ "ㄈㄚ2",
+ "ㄅㄟ4"
+ ],
+ "拕": [
+ "ㄊㄨㄛ1"
+ ],
+ "拖": [
+ "ㄊㄨㄛ1",
+ "ㄔ3"
+ ],
+ "拗": [
+ "ㄠ3",
+ "ㄠ4",
+ "ㄋㄧㄡ4",
+ "ㄩ4"
+ ],
+ "拘": [
+ "ㄐㄩ1",
+ "ㄍㄡ1",
+ "ㄐㄩ3",
+ "ㄐㄩ2"
+ ],
+ "拙": [
+ "ㄓㄨㄛ1"
+ ],
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+ "ㄆㄢ4",
+ "ㄅㄧㄢ4",
+ "ㄈㄣ4",
+ "ㄈㄢ1",
+ "ㄆㄧㄣ1"
+ ],
+ "招": [
+ "ㄓㄠ1",
+ "ㄑㄧㄠ2",
+ "ㄕㄠ2"
+ ],
+ "拜": [
+ "ㄅㄞ4",
+ "ㄅㄞ2"
+ ],
+ "拝": [
+ "ㄅㄞ4"
+ ],
+ "拞": [
+ "ㄉㄧ3"
+ ],
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+ "ㄋㄧ3"
+ ],
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+ "ㄐㄩ4"
+ ],
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+ "ㄎㄨㄛ4"
+ ],
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+ "ㄌㄨㄥ3"
+ ],
+ "拣": [
+ "ㄐㄧㄢ3"
+ ],
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+ "ㄑㄧㄚ2"
+ ],
+ "拥": [
+ "ㄩㄥ1"
+ ],
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+ "ㄌㄢ2"
+ ],
+ "拧": [
+ "ㄋㄧㄥ2",
+ "ㄋㄧㄥ3",
+ "ㄋㄧㄥ4"
+ ],
+ "拨": [
+ "ㄅㄛ1"
+ ],
+ "择": [
+ "ㄗㄜ2",
+ "ㄓㄞ2"
+ ],
+ "拪": [
+ "ㄑㄧㄢ1"
+ ],
+ "拫": [
+ "ㄏㄣ2"
+ ],
+ "括": [
+ "ㄎㄨㄛ4",
+ "ㄍㄨㄚ1"
+ ],
+ "拭": [
+ "ㄕ4"
+ ],
+ "拮": [
+ "ㄐㄧㄝ2",
+ "ㄐㄧㄚ2"
+ ],
+ "拯": [
+ "ㄓㄥ3"
+ ],
+ "拰": [
+ "ㄋㄧㄣ3"
+ ],
+ "拱": [
+ "ㄍㄨㄥ3",
+ "ㄐㄩ2"
+ ],
+ "拲": [
+ "ㄍㄨㄥ3"
+ ],
+ "拳": [
+ "ㄑㄩㄢ2"
+ ],
+ "拴": [
+ "ㄕㄨㄢ1",
+ "ㄑㄩㄢ2"
+ ],
+ "拵": [
+ "ㄘㄨㄣ2",
+ "ㄗㄨㄣ4"
+ ],
+ "拶": [
+ "ㄗㄚ1",
+ "ㄗㄢ3"
+ ],
+ "拷": [
+ "ㄎㄠ3"
+ ],
+ "拸": [
+ "ㄧ2",
+ "ㄔ3",
+ "ㄏㄞ4"
+ ],
+ "拹": [
+ "ㄒㄧㄝ2"
+ ],
+ "拺": [
+ "ㄘㄜ4",
+ "ㄙㄜ4",
+ "ㄔㄨㄛ4"
+ ],
+ "拻": [
+ "ㄏㄨㄟ1"
+ ],
+ "拼": [
+ "ㄆㄧㄣ1",
+ "ㄅㄧㄥ4"
+ ],
+ "拽": [
+ "ㄓㄨㄞ1",
+ "ㄓㄨㄞ4",
+ "ㄧㄝ4"
+ ],
+ "拾": [
+ "ㄕ2",
+ "ㄕㄜ4",
+ "ㄐㄧㄝ4"
+ ],
+ "拿": [
+ "ㄋㄚ2"
+ ],
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+ "ㄅㄞ1"
+ ],
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+ "ㄔ2"
+ ],
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+ "ㄍㄨㄚ4"
+ ],
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+ "ㄓ4",
+ "ㄉㄧㄝ2"
+ ],
+ "挄": [
+ "ㄎㄨㄛ4",
+ "ㄍㄨㄤ1"
+ ],
+ "挅": [
+ "ㄉㄨㄛ3",
+ "ㄉㄨㄛ4"
+ ],
+ "挆": [
+ "ㄉㄨㄛ3"
+ ],
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+ "ㄓ3",
+ "ㄓ1",
+ "ㄓ2"
+ ],
+ "挈": [
+ "ㄑㄧㄝ4",
+ "ㄑㄧ4",
+ "ㄐㄧㄚ2",
+ "ㄑㄧㄚ4",
+ "ㄕ4"
+ ],
+ "按": [
+ "ㄢ4"
+ ],
+ "挊": [
+ "ㄋㄨㄥ4"
+ ],
+ "挋": [
+ "ㄓㄣ4"
+ ],
+ "挌": [
+ "ㄍㄜ2",
+ "ㄏㄜ2"
+ ],
+ "挍": [
+ "ㄐㄧㄠ4",
+ "ㄐㄧㄠ1"
+ ],
+ "挎": [
+ "ㄎㄨㄚ4",
+ "ㄎㄨ1",
+ "ㄎㄡ1"
+ ],
+ "挏": [
+ "ㄉㄨㄥ4"
+ ],
+ "挐": [
+ "ㄋㄚ2",
+ "ㄖㄨ2",
+ "ㄋㄨ2"
+ ],
+ "挑": [
+ "ㄊㄧㄠ1",
+ "ㄊㄧㄠ3",
+ "ㄊㄠ2",
+ "ㄉㄧㄠ4",
+ "ㄊㄧㄠ2",
+ "ㄊㄧㄠ5"
+ ],
+ "挒": [
+ "ㄌㄧㄝ4"
+ ],
+ "挓": [
+ "ㄓㄚ1"
+ ],
+ "挔": [
+ "ㄌㄩ3"
+ ],
+ "挕": [
+ "ㄉㄧㄝ2",
+ "ㄕㄜ4"
+ ],
+ "挖": [
+ "ㄨㄚ1"
+ ],
+ "挗": [
+ "ㄐㄩㄝ2"
+ ],
+ "挘": [
+ "ㄌㄧㄝ3"
+ ],
+ "挙": [
+ "ㄐㄩ3"
+ ],
+ "挚": [
+ "ㄓ4"
+ ],
+ "挛": [
+ "ㄌㄨㄢ2"
+ ],
+ "挜": [
+ "ㄧㄚ4"
+ ],
+ "挝": [
+ "ㄨㄛ1",
+ "ㄓㄨㄚ1"
+ ],
+ "挞": [
+ "ㄊㄚ4"
+ ],
+ "挟": [
+ "ㄒㄧㄝ2",
+ "ㄐㄧㄚ1"
+ ],
+ "挠": [
+ "ㄋㄠ2"
+ ],
+ "挡": [
+ "ㄉㄤ3",
+ "ㄉㄤ4"
+ ],
+ "挢": [
+ "ㄐㄧㄠ3"
+ ],
+ "挣": [
+ "ㄓㄥ1",
+ "ㄓㄥ4"
+ ],
+ "挤": [
+ "ㄐㄧ3"
+ ],
+ "挥": [
+ "ㄏㄨㄟ1"
+ ],
+ "挦": [
+ "ㄒㄧㄢ2"
+ ],
+ "挧": [
+ "ㄩ3"
+ ],
+ "挨": [
+ "ㄞ1",
+ "ㄞ2"
+ ],
+ "挩": [
+ "ㄊㄨㄛ1"
+ ],
+ "挪": [
+ "ㄋㄨㄛ2"
+ ],
+ "挫": [
+ "ㄘㄨㄛ4",
+ "ㄗㄨㄛ4"
+ ],
+ "挬": [
+ "ㄅㄛ2"
+ ],
+ "挭": [
+ "ㄍㄥ3"
+ ],
+ "挮": [
+ "ㄊㄧ3",
+ "ㄊㄧ4"
+ ],
+ "振": [
+ "ㄓㄣ4",
+ "ㄓㄣ1",
+ "ㄓㄣ3"
+ ],
+ "挰": [
+ "ㄔㄥ2"
+ ],
+ "挱": [
+ "ㄙㄚ1",
+ "ㄕㄚ1",
+ "ㄙㄨㄛ1"
+ ],
+ "挲": [
+ "ㄙㄚ1",
+ "ㄙㄨㄛ1",
+ "ㄕㄚ1"
+ ],
+ "挳": [
+ "ㄎㄥ1"
+ ],
+ "挴": [
+ "ㄇㄟ3"
+ ],
+ "挵": [
+ "ㄋㄨㄥ4"
+ ],
+ "挶": [
+ "ㄐㄩ1"
+ ],
+ "挷": [
+ "ㄆㄥ2"
+ ],
+ "挸": [
+ "ㄐㄧㄢ3"
+ ],
+ "挹": [
+ "ㄧ4"
+ ],
+ "挺": [
+ "ㄊㄧㄥ3",
+ "ㄊㄧㄥ2"
+ ],
+ "挻": [
+ "ㄕㄢ1",
+ "ㄧㄢ2"
+ ],
+ "挼": [
+ "ㄖㄨㄚ2",
+ "ㄖㄨㄛ2",
+ "ㄙㄨㄟ1",
+ "ㄌㄨㄛ4"
+ ],
+ "挽": [
+ "ㄨㄢ3"
+ ],
+ "挾": [
+ "ㄒㄧㄝ2",
+ "ㄐㄧㄚ1"
+ ],
+ "挿": [
+ "ㄔㄚ1"
+ ],
+ "捀": [
+ "ㄈㄥ2"
+ ],
+ "捁": [
+ "ㄐㄧㄠ3",
+ "ㄎㄨ4"
+ ],
+ "捂": [
+ "ㄨ3",
+ "ㄨ2"
+ ],
+ "捃": [
+ "ㄐㄩㄣ4"
+ ],
+ "捄": [
+ "ㄐㄧㄡ4",
+ "ㄐㄩ1",
+ "ㄑㄧㄡ2"
+ ],
+ "捅": [
+ "ㄊㄨㄥ3"
+ ],
+ "捆": [
+ "ㄎㄨㄣ3",
+ "ㄏㄨㄣ2"
+ ],
+ "捇": [
+ "ㄏㄨㄛ4",
+ "ㄔ4"
+ ],
+ "捈": [
+ "ㄊㄨ2",
+ "ㄕㄨ1",
+ "ㄔㄚ2"
+ ],
+ "捉": [
+ "ㄓㄨㄛ1"
+ ],
+ "捊": [
+ "ㄆㄡ2",
+ "ㄆㄡ1",
+ "ㄈㄨ1"
+ ],
+ "捋": [
+ "ㄌㄩ3",
+ "ㄌㄨㄛ1"
+ ],
+ "捌": [
+ "ㄅㄚ1",
+ "ㄅㄧㄝ2"
+ ],
+ "捍": [
+ "ㄏㄢ4",
+ "ㄒㄧㄢ4",
+ "ㄍㄢ3"
+ ],
+ "捎": [
+ "ㄕㄠ1",
+ "ㄕㄠ4",
+ "ㄕㄠ3",
+ "ㄒㄧㄠ1",
+ "ㄑㄧㄠ4"
+ ],
+ "捏": [
+ "ㄋㄧㄝ1"
+ ],
+ "捐": [
+ "ㄐㄩㄢ1",
+ "ㄩㄢ2"
+ ],
+ "捑": [
+ "ㄗㄜ4"
+ ],
+ "捒": [
+ "ㄕㄨ4",
+ "ㄙㄡ1",
+ "ㄙㄨㄥ3"
+ ],
+ "捓": [
+ "ㄧㄝ2",
+ "ㄩ2"
+ ],
+ "捔": [
+ "ㄐㄩㄝ2",
+ "ㄓㄨㄛ2"
+ ],
+ "捕": [
+ "ㄅㄨ3"
+ ],
+ "捖": [
+ "ㄨㄢ2",
+ "ㄍㄨㄚ1"
+ ],
+ "捗": [
+ "ㄅㄨ4",
+ "ㄆㄨ2",
+ "ㄓ4"
+ ],
+ "捘": [
+ "ㄗㄨㄣ4"
+ ],
+ "捙": [
+ "ㄧㄝ4"
+ ],
+ "捚": [
+ "ㄓㄞ1"
+ ],
+ "捛": [
+ "ㄌㄩ3"
+ ],
+ "捜": [
+ "ㄙㄡ1"
+ ],
+ "捝": [
+ "ㄊㄨㄛ1",
+ "ㄕㄨㄟ4",
+ "ㄧㄢ3"
+ ],
+ "捞": [
+ "ㄌㄠ1"
+ ],
+ "损": [
+ "ㄙㄨㄣ3"
+ ],
+ "捠": [
+ "ㄅㄤ1"
+ ],
+ "捡": [
+ "ㄐㄧㄢ3"
+ ],
+ "换": [
+ "ㄏㄨㄢ4"
+ ],
+ "捣": [
+ "ㄉㄠ3"
+ ],
+ "捤": [
+ "ㄨㄟ3"
+ ],
+ "捥": [
+ "ㄨㄢ4",
+ "ㄨㄢ1",
+ "ㄨㄢ3",
+ "ㄩ4"
+ ],
+ "捦": [
+ "ㄑㄧㄣ2"
+ ],
+ "捧": [
+ "ㄆㄥ3",
+ "ㄈㄥ4"
+ ],
+ "捨": [
+ "ㄕㄜ3"
+ ],
+ "捩": [
+ "ㄌㄧㄝ4",
+ "ㄌㄧ4"
+ ],
+ "捪": [
+ "ㄇㄧㄣ2"
+ ],
+ "捫": [
+ "ㄇㄣ2"
+ ],
+ "捬": [
+ "ㄈㄨ3",
+ "ㄈㄨ4",
+ "ㄅㄨ3"
+ ],
+ "捭": [
+ "ㄅㄞ3",
+ "ㄅㄚ1",
+ "ㄅㄧ3"
+ ],
+ "据": [
+ "ㄐㄩ4",
+ "ㄐㄩ1"
+ ],
+ "捯": [
+ "ㄉㄠ2",
+ "ㄉㄠ3"
+ ],
+ "捰": [
+ "ㄨㄛ3",
+ "ㄌㄨㄛ4",
+ "ㄌㄨㄛ3"
+ ],
+ "捱": [
+ "ㄞ2",
+ "ㄞ1"
+ ],
+ "捲": [
+ "ㄐㄩㄢ3",
+ "ㄑㄩㄢ2",
+ "ㄐㄩㄢ4"
+ ],
+ "捳": [
+ "ㄩㄝ4"
+ ],
+ "捴": [
+ "ㄗㄨㄥ3"
+ ],
+ "捵": [
+ "ㄔㄣ1",
+ "ㄊㄧㄢ3",
+ "ㄋㄧㄢ3"
+ ],
+ "捶": [
+ "ㄔㄨㄟ2",
+ "ㄉㄨㄛ3"
+ ],
+ "捷": [
+ "ㄐㄧㄝ2",
+ "ㄑㄧㄝ4",
+ "ㄔㄚ1"
+ ],
+ "捸": [
+ "ㄊㄨ1"
+ ],
+ "捹": [
+ "ㄅㄣ4"
+ ],
+ "捺": [
+ "ㄋㄚ4"
+ ],
+ "捻": [
+ "ㄋㄧㄢ3",
+ "ㄋㄧㄝ1",
+ "ㄋㄧㄢ1"
+ ],
+ "捼": [
+ "ㄖㄨㄛ2",
+ "ㄨㄛ1",
+ "ㄨㄟ3",
+ "ㄖㄜ2"
+ ],
+ "捽": [
+ "ㄗㄨㄛ2",
+ "ㄘㄨ4",
+ "ㄙㄨ1",
+ "ㄗㄨㄣ4"
+ ],
+ "捾": [
+ "ㄨㄛ4",
+ "ㄒㄧㄚ2"
+ ],
+ "捿": [
+ "ㄑㄧ1"
+ ],
+ "掀": [
+ "ㄒㄧㄢ1",
+ "ㄏㄣ2"
+ ],
+ "掁": [
+ "ㄔㄥ2"
+ ],
+ "掂": [
+ "ㄉㄧㄢ1"
+ ],
+ "掃": [
+ "ㄙㄠ3",
+ "ㄙㄠ4"
+ ],
+ "掄": [
+ "ㄌㄨㄣ1",
+ "ㄌㄨㄣ2"
+ ],
+ "掅": [
+ "ㄑㄧㄥ4"
+ ],
+ "掆": [
+ "ㄍㄤ1",
+ "ㄍㄤ4"
+ ],
+ "掇": [
+ "ㄉㄨㄛ1",
+ "ㄉㄨㄛ2",
+ "ㄓㄨㄛ1"
+ ],
+ "授": [
+ "ㄕㄡ4"
+ ],
+ "掉": [
+ "ㄉㄧㄠ4",
+ "ㄋㄨㄛ2"
+ ],
+ "掊": [
+ "ㄆㄡ2",
+ "ㄆㄡ3",
+ "ㄈㄨ4",
+ "ㄆㄟ2"
+ ],
+ "掋": [
+ "ㄉㄧ3",
+ "ㄉㄧ4"
+ ],
+ "掌": [
+ "ㄓㄤ3"
+ ],
+ "掍": [
+ "ㄏㄨㄣ4"
+ ],
+ "掎": [
+ "ㄐㄧ3",
+ "ㄧ3"
+ ],
+ "掏": [
+ "ㄊㄠ1",
+ "ㄊㄠ2"
+ ],
+ "掐": [
+ "ㄑㄧㄚ1"
+ ],
+ "掑": [
+ "ㄑㄧ2"
+ ],
+ "排": [
+ "ㄆㄞ2",
+ "ㄆㄞ3",
+ "ㄅㄞ4"
+ ],
+ "掓": [
+ "ㄕㄨ1"
+ ],
+ "掔": [
+ "ㄑㄧㄢ1",
+ "ㄨㄢ4"
+ ],
+ "掕": [
+ "ㄌㄧㄥ2"
+ ],
+ "掖": [
+ "ㄧㄝ1",
+ "ㄧㄝ4"
+ ],
+ "掗": [
+ "ㄧㄚ4",
+ "ㄧㄚ3"
+ ],
+ "掘": [
+ "ㄐㄩㄝ2",
+ "ㄎㄨ1"
+ ],
+ "掙": [
+ "ㄓㄥ1"
+ ],
+ "掚": [
+ "ㄌㄧㄤ3"
+ ],
+ "掛": [
+ "ㄍㄨㄚ4"
+ ],
+ "掜": [
+ "ㄧ4",
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+ ],
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+ ],
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+ "ㄧㄢ3"
+ ],
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+ "ㄉㄧㄥ4"
+ ],
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+ "ㄌㄩㄝ3"
+ ],
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+ "ㄘㄞ3"
+ ],
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+ "ㄊㄢ4",
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+ "ㄔㄜ4"
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+ "ㄅㄧㄥ1"
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+ "ㄕㄚ4",
+ "ㄔㄚ1"
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+ "ㄊㄧ4"
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+ "ㄊㄨㄟ1"
+ ],
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+ "ㄧㄢ4"
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+ "ㄘ4"
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+ "ㄎㄥ1"
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+ "ㄧㄡ2"
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+ "ㄑㄧㄢ1"
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+ "ㄔㄡ1",
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+ "ㄧㄠ2"
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+ "ㄏㄨㄥ2",
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+ "ㄇㄠ4"
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+ "ㄋㄧㄝ1"
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+ "ㄓㄚ3"
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+ ],
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+ "ㄙㄨㄥ1"
+ ],
+ "揕": [
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+ "ㄓㄣ1"
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+ "ㄐㄧ2"
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+ "ㄏㄨㄤ2"
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+ "ㄅㄧㄢ4"
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+ "換": [
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+ "ㄗㄨㄢ4"
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+ "ㄧㄢ4",
+ "ㄧㄝ4"
+ ],
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+ "ㄐㄩ1"
+ ],
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+ "ㄧㄚ4"
+ ],
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+ "ㄡ4"
+ ],
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+ "ㄎㄜ2",
+ "ㄑㄧㄚ1"
+ ],
+ "揣": [
+ "ㄔㄨㄞ1",
+ "ㄔㄨㄞ3",
+ "ㄔㄨㄞ4",
+ "ㄉㄨㄛ3",
+ "ㄓㄨㄟ1",
+ "ㄊㄨㄢ2"
+ ],
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+ "ㄐㄧ2"
+ ],
+ "揥": [
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+ "ㄉㄧ4"
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+ "ㄌㄚ4"
+ ],
+ "揧": [
+ "ㄌㄚ4"
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+ ],
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+ "ㄐㄧㄚ2"
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+ "揫": [
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+ "ㄑㄧ4",
+ "ㄏㄜ2"
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+ "ㄏㄨㄣ2"
+ ],
+ "揯": [
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+ ],
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+ "ㄉㄨㄥ3"
+ ],
+ "揱": [
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+ "ㄕㄨㄛ4",
+ "ㄒㄧㄢ1"
+ ],
+ "揲": [
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+ "ㄕㄜ2",
+ "ㄧㄝ4"
+ ],
+ "揳": [
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+ "ㄒㄧㄝ4",
+ "ㄒㄧㄝ2",
+ "ㄐㄧㄚ2"
+ ],
+ "援": [
+ "ㄩㄢ2",
+ "ㄏㄨㄢ4"
+ ],
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+ "ㄐㄧㄢ4",
+ "ㄐㄧㄢ3"
+ ],
+ "揶": [
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+ ],
+ "揷": [
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+ ],
+ "揸": [
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+ "揹": [
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+ ],
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+ ],
+ "揻": [
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+ ],
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+ ],
+ "揽": [
+ "ㄌㄢ3"
+ ],
+ "揾": [
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+ "ㄨ4"
+ ],
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+ ],
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+ "ㄔㄢ1"
+ ],
+ "搁": [
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+ "ㄍㄜ2"
+ ],
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+ "ㄌㄡ1"
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+ "搃": [
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+ ],
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+ "ㄍㄣ4"
+ ],
+ "搅": [
+ "ㄐㄧㄠ3"
+ ],
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+ "ㄍㄡ4",
+ "ㄍㄡ1"
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+ "ㄏㄨㄛ1"
+ ],
+ "搊": [
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+ "ㄗㄡ3",
+ "ㄓㄨ1"
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+ "ㄔ3",
+ "ㄧ2"
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+ "ㄔㄨ4"
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+ "搑": [
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+ "ㄋㄤ2",
+ "ㄋㄤ3"
+ ],
+ "搒": [
+ "ㄅㄤ4",
+ "ㄆㄥ2",
+ "ㄅㄥ1",
+ "ㄅㄤ3"
+ ],
+ "搓": [
+ "ㄘㄨㄛ1",
+ "ㄘㄨㄛ3",
+ "ㄔㄞ1"
+ ],
+ "搔": [
+ "ㄙㄠ1",
+ "ㄙㄠ4"
+ ],
+ "搕": [
+ "ㄎㄜ1",
+ "ㄜ4"
+ ],
+ "搖": [
+ "ㄧㄠ2"
+ ],
+ "搗": [
+ "ㄉㄠ3"
+ ],
+ "搘": [
+ "ㄓ1"
+ ],
+ "搙": [
+ "ㄋㄨ4",
+ "ㄋㄨㄛ4",
+ "ㄋㄡ4"
+ ],
+ "搚": [
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+ "ㄒㄧㄝ2",
+ "ㄒㄧㄢ4"
+ ],
+ "搛": [
+ "ㄐㄧㄢ1",
+ "ㄌㄧㄢ2"
+ ],
+ "搜": [
+ "ㄙㄡ1",
+ "ㄒㄧㄠ1",
+ "ㄙㄡ4",
+ "ㄕㄠ3"
+ ],
+ "搝": [
+ "ㄑㄧㄡ3"
+ ],
+ "搞": [
+ "ㄍㄠ3",
+ "ㄑㄧㄠ1",
+ "ㄎㄠ4"
+ ],
+ "搟": [
+ "ㄒㄧㄢ3",
+ "ㄒㄧㄢ1"
+ ],
+ "搠": [
+ "ㄕㄨㄛ4"
+ ],
+ "搡": [
+ "ㄙㄤ3"
+ ],
+ "搢": [
+ "ㄐㄧㄣ4"
+ ],
+ "搣": [
+ "ㄇㄧㄝ4"
+ ],
+ "搤": [
+ "ㄜ4",
+ "ㄧ4"
+ ],
+ "搥": [
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+ "ㄉㄨㄟ1"
+ ],
+ "搦": [
+ "ㄋㄨㄛ4"
+ ],
+ "搧": [
+ "ㄕㄢ1"
+ ],
+ "搨": [
+ "ㄊㄚ4",
+ "ㄉㄚ2"
+ ],
+ "搩": [
+ "ㄓㄚ3",
+ "ㄐㄧㄝ2"
+ ],
+ "搪": [
+ "ㄊㄤ2"
+ ],
+ "搫": [
+ "ㄆㄢ2",
+ "ㄅㄢ1",
+ "ㄆㄛ2"
+ ],
+ "搬": [
+ "ㄅㄢ1",
+ "ㄙㄨ4"
+ ],
+ "搭": [
+ "ㄉㄚ1",
+ "ㄊㄚ4"
+ ],
+ "搮": [
+ "ㄌㄧ4"
+ ],
+ "搯": [
+ "ㄊㄠ1"
+ ],
+ "搰": [
+ "ㄏㄨ2",
+ "ㄎㄨ1"
+ ],
+ "搱": [
+ "ㄓ4",
+ "ㄋㄞ2"
+ ],
+ "搲": [
+ "ㄨㄚ1",
+ "ㄨㄚ3",
+ "ㄨㄚ4"
+ ],
+ "搳": [
+ "ㄏㄨㄚ2",
+ "ㄒㄧㄚ2",
+ "ㄑㄧㄚ1"
+ ],
+ "搴": [
+ "ㄑㄧㄢ1"
+ ],
+ "搵": [
+ "ㄨㄣ4"
+ ],
+ "搶": [
+ "ㄑㄧㄤ3",
+ "ㄑㄧㄤ1",
+ "ㄑㄧㄤ4",
+ "ㄔㄥ2",
+ "ㄔㄥ1"
+ ],
+ "搷": [
+ "ㄊㄧㄢ2",
+ "ㄕㄣ1"
+ ],
+ "搸": [
+ "ㄓㄣ1"
+ ],
+ "搹": [
+ "ㄜ4"
+ ],
+ "携": [
+ "ㄒㄧㄝ2"
+ ],
+ "搻": [
+ "ㄋㄨㄛ4"
+ ],
+ "搼": [
+ "ㄑㄩㄢ2"
+ ],
+ "搽": [
+ "ㄔㄚ2"
+ ],
+ "搾": [
+ "ㄓㄚ4"
+ ],
+ "搿": [
+ "ㄍㄜ2"
+ ],
+ "摀": [
+ "ㄨ3"
+ ],
+ "摁": [
+ "ㄣ4"
+ ],
+ "摂": [
+ "ㄕㄜ4"
+ ],
+ "摃": [
+ "ㄎㄤ2"
+ ],
+ "摄": [
+ "ㄕㄜ4"
+ ],
+ "摅": [
+ "ㄕㄨ1"
+ ],
+ "摆": [
+ "ㄅㄞ3"
+ ],
+ "摇": [
+ "ㄧㄠ2"
+ ],
+ "摈": [
+ "ㄅㄧㄣ4"
+ ],
+ "摉": [
+ "ㄙㄡ1"
+ ],
+ "摊": [
+ "ㄊㄢ1"
+ ],
+ "摋": [
+ "ㄙㄚ4",
+ "ㄕㄞ3",
+ "ㄕㄚ1"
+ ],
+ "摌": [
+ "ㄔㄢ3",
+ "ㄙㄨㄣ4"
+ ],
+ "摍": [
+ "ㄙㄨㄛ1"
+ ],
+ "摎": [
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+ "ㄌㄧㄡ2",
+ "ㄌㄧㄠ2",
+ "ㄐㄧㄠ3",
+ "ㄋㄠ2"
+ ],
+ "摏": [
+ "ㄔㄨㄥ1"
+ ],
+ "摐": [
+ "ㄔㄨㄤ1"
+ ],
+ "摑": [
+ "ㄍㄨㄞ1",
+ "ㄍㄨㄛ2"
+ ],
+ "摒": [
+ "ㄅㄧㄥ3",
+ "ㄅㄧㄥ4"
+ ],
+ "摓": [
+ "ㄈㄥ2",
+ "ㄆㄥ3"
+ ],
+ "摔": [
+ "ㄕㄨㄞ1"
+ ],
+ "摕": [
+ "ㄉㄧ4",
+ "ㄊㄨ2",
+ "ㄓ2"
+ ],
+ "摖": [
+ "ㄑㄧ4",
+ "ㄔㄚ2"
+ ],
+ "摗": [
+ "ㄙㄡ1",
+ "ㄙㄨㄥ3"
+ ],
+ "摘": [
+ "ㄓㄞ1"
+ ],
+ "摙": [
+ "ㄌㄧㄢ3",
+ "ㄌㄧㄢ4"
+ ],
+ "摚": [
+ "ㄔㄥ1"
+ ],
+ "摛": [
+ "ㄔ1"
+ ],
+ "摜": [
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+ ],
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+ ],
+ "摞": [
+ "ㄌㄨㄛ4"
+ ],
+ "摟": [
+ "ㄌㄡ3",
+ "ㄌㄡ1"
+ ],
+ "摠": [
+ "ㄗㄨㄥ3"
+ ],
+ "摡": [
+ "ㄍㄞ4",
+ "ㄒㄧ4"
+ ],
+ "摢": [
+ "ㄏㄨ4",
+ "ㄔㄨ1"
+ ],
+ "摣": [
+ "ㄓㄚ1",
+ "ㄓㄨㄚ1"
+ ],
+ "摤": [
+ "ㄔㄨㄤ3"
+ ],
+ "摥": [
+ "ㄊㄤ4"
+ ],
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+ ],
+ "摧": [
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+ "ㄗㄨㄟ4",
+ "ㄘㄨㄛ4"
+ ],
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+ "ㄓ4"
+ ],
+ "摩": [
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+ "ㄇㄚ1",
+ "ㄇㄧ2"
+ ],
+ "摪": [
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+ "ㄑㄧㄤ4"
+ ],
+ "摫": [
+ "ㄍㄨㄟ1"
+ ],
+ "摬": [
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+ "摭": [
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+ ],
+ "摮": [
+ "ㄠ2",
+ "ㄑㄧㄠ1"
+ ],
+ "摯": [
+ "ㄓ4"
+ ],
+ "摰": [
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+ "ㄔㄜ4"
+ ],
+ "摱": [
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+ "ㄇㄢ2"
+ ],
+ "摲": [
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+ "ㄘㄢ2"
+ ],
+ "摳": [
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+ "ㄡ1"
+ ],
+ "摴": [
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+ "ㄔ1"
+ ],
+ "摵": [
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+ "ㄙㄨ4",
+ "ㄇㄧ2"
+ ],
+ "摶": [
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+ "ㄓㄨㄢ4",
+ "ㄓㄨㄢ1"
+ ],
+ "摷": [
+ "ㄐㄧㄠ3",
+ "ㄔㄠ1"
+ ],
+ "摸": [
+ "ㄇㄛ1",
+ "ㄇㄛ2"
+ ],
+ "摹": [
+ "ㄇㄛ2",
+ "ㄇㄛ1"
+ ],
+ "摺": [
+ "ㄓㄜ2",
+ "ㄌㄚ1",
+ "ㄒㄧㄝ2"
+ ],
+ "摻": [
+ "ㄘㄢ4",
+ "ㄕㄢ3",
+ "ㄕㄢ1",
+ "ㄔㄢ1",
+ "ㄙㄣ1"
+ ],
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+ "ㄎㄥ1",
+ "ㄑㄧㄢ1"
+ ],
+ "摽": [
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+ "ㄅㄧㄠ4",
+ "ㄆㄧㄠ1",
+ "ㄆㄠ1"
+ ],
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+ ],
+ "摿": [
+ "ㄧㄠ2"
+ ],
+ "撀": [
+ "ㄍㄡ4"
+ ],
+ "撁": [
+ "ㄑㄧㄢ1",
+ "ㄑㄧㄢ4"
+ ],
+ "撂": [
+ "ㄌㄧㄠ4"
+ ],
+ "撃": [
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+ "ㄙㄢ3",
+ "ㄙㄢ1"
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+ "ㄉㄠ4",
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+ "ㄊㄨㄣ1",
+ "ㄉㄨㄟ4",
+ "ㄊㄨㄣ2"
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+ "ㄐㄧㄠ4"
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+ "ㄇㄚ4",
+ "ㄇㄚ3"
+ ],
+ "榫": [
+ "ㄙㄨㄣ3"
+ ],
+ "榬": [
+ "ㄩㄢ2"
+ ],
+ "榭": [
+ "ㄒㄧㄝ4"
+ ],
+ "榮": [
+ "ㄖㄨㄥ2"
+ ],
+ "榯": [
+ "ㄕ2"
+ ],
+ "榰": [
+ "ㄓ1"
+ ],
+ "榱": [
+ "ㄘㄨㄟ1"
+ ],
+ "榲": [
+ "ㄨㄣ1"
+ ],
+ "榳": [
+ "ㄊㄧㄥ2"
+ ],
+ "榴": [
+ "ㄌㄧㄡ2"
+ ],
+ "榵": [
+ "ㄖㄨㄥ2"
+ ],
+ "榶": [
+ "ㄊㄤ2"
+ ],
+ "榷": [
+ "ㄑㄩㄝ4"
+ ],
+ "榸": [
+ "ㄓㄞ1"
+ ],
+ "榹": [
+ "ㄙ1"
+ ],
+ "榺": [
+ "ㄕㄥ4"
+ ],
+ "榻": [
+ "ㄊㄚ4"
+ ],
+ "榼": [
+ "ㄎㄜ1"
+ ],
+ "榽": [
+ "ㄒㄧ1"
+ ],
+ "榾": [
+ "ㄍㄨ3"
+ ],
+ "榿": [
+ "ㄑㄧ1"
+ ],
+ "槀": [
+ "ㄍㄠ3",
+ "ㄎㄠ4"
+ ],
+ "槁": [
+ "ㄍㄠ3",
+ "ㄎㄠ4",
+ "ㄍㄠ1"
+ ],
+ "槂": [
+ "ㄙㄨㄣ1"
+ ],
+ "槃": [
+ "ㄆㄢ2"
+ ],
+ "槄": [
+ "ㄊㄠ1"
+ ],
+ "槅": [
+ "ㄍㄜ2"
+ ],
+ "槆": [
+ "ㄔㄨㄣ1"
+ ],
+ "槇": [
+ "ㄉㄧㄢ1",
+ "ㄓㄣ3",
+ "ㄓㄣ1"
+ ],
+ "槈": [
+ "ㄋㄡ4"
+ ],
+ "槉": [
+ "ㄐㄧ2"
+ ],
+ "槊": [
+ "ㄕㄨㄛ4"
+ ],
+ "構": [
+ "ㄍㄡ4",
+ "ㄐㄩㄝ2"
+ ],
+ "槌": [
+ "ㄔㄨㄟ2",
+ "ㄓㄨㄟ4",
+ "ㄉㄨㄟ1"
+ ],
+ "槍": [
+ "ㄑㄧㄤ1",
+ "ㄔㄥ1",
+ "ㄑㄧㄤ3"
+ ],
+ "槎": [
+ "ㄔㄚ2"
+ ],
+ "槏": [
+ "ㄑㄧㄢ3",
+ "ㄒㄧㄢ4",
+ "ㄌㄧㄢ2"
+ ],
+ "槐": [
+ "ㄏㄨㄞ2"
+ ],
+ "槑": [
+ "ㄇㄟ2"
+ ],
+ "槒": [
+ "ㄒㄩ4"
+ ],
+ "槓": [
+ "ㄍㄤ4"
+ ],
+ "槔": [
+ "ㄍㄠ1"
+ ],
+ "槕": [
+ "ㄓㄨㄛ1"
+ ],
+ "槖": [
+ "ㄊㄨㄛ2"
+ ],
+ "槗": [
+ "ㄑㄧㄠ2"
+ ],
+ "様": [
+ "ㄧㄤ4"
+ ],
+ "槙": [
+ "ㄉㄧㄢ1"
+ ],
+ "槚": [
+ "ㄐㄧㄚ3"
+ ],
+ "槛": [
+ "ㄎㄢ3",
+ "ㄐㄧㄢ4"
+ ],
+ "槜": [
+ "ㄗㄨㄟ4"
+ ],
+ "槝": [
+ "ㄉㄠ3"
+ ],
+ "槞": [
+ "ㄌㄨㄥ2"
+ ],
+ "槟": [
+ "ㄅㄧㄣ1",
+ "ㄅㄧㄥ1"
+ ],
+ "槠": [
+ "ㄓㄨ1"
+ ],
+ "槡": [
+ "ㄙㄤ1"
+ ],
+ "槢": [
+ "ㄒㄧ2",
+ "ㄉㄧㄝ2"
+ ],
+ "槣": [
+ "ㄐㄧ1",
+ "ㄍㄨㄟ1"
+ ],
+ "槤": [
+ "ㄌㄧㄢ2",
+ "ㄌㄧㄢ3"
+ ],
+ "槥": [
+ "ㄏㄨㄟ4"
+ ],
+ "槦": [
+ "ㄩㄥ1"
+ ],
+ "槧": [
+ "ㄑㄧㄢ4"
+ ],
+ "槨": [
+ "ㄍㄨㄛ3"
+ ],
+ "槩": [
+ "ㄍㄞ4"
+ ],
+ "槪": [
+ "ㄍㄞ4"
+ ],
+ "槫": [
+ "ㄊㄨㄢ2",
+ "ㄕㄨㄢ4",
+ "ㄑㄩㄢ2"
+ ],
+ "槬": [
+ "ㄏㄨㄚ4"
+ ],
+ "槭": [
+ "ㄑㄧ1",
+ "ㄑㄧ4",
+ "ㄗㄨ2",
+ "ㄙㄜ4"
+ ],
+ "槮": [
+ "ㄙㄣ1",
+ "ㄕㄣ3"
+ ],
+ "槯": [
+ "ㄘㄨㄟ1",
+ "ㄗㄨㄟ3"
+ ],
+ "槰": [
+ "ㄆㄥ2"
+ ],
+ "槱": [
+ "ㄧㄡ3",
+ "ㄔㄠ3"
+ ],
+ "槲": [
+ "ㄏㄨ2"
+ ],
+ "槳": [
+ "ㄐㄧㄤ3",
+ "ㄐㄧㄤ1"
+ ],
+ "槴": [
+ "ㄏㄨ4"
+ ],
+ "槵": [
+ "ㄏㄨㄢ4"
+ ],
+ "槶": [
+ "ㄍㄨㄟ4"
+ ],
+ "槷": [
+ "ㄋㄧㄝ4",
+ "ㄒㄧㄝ4",
+ "ㄧ4"
+ ],
+ "槸": [
+ "ㄧ4"
+ ],
+ "槹": [
+ "ㄍㄠ1"
+ ],
+ "槺": [
+ "ㄎㄤ1"
+ ],
+ "槻": [
+ "ㄍㄨㄟ1"
+ ],
+ "槼": [
+ "ㄍㄨㄟ1"
+ ],
+ "槽": [
+ "ㄘㄠ2",
+ "ㄗㄠ1"
+ ],
+ "槾": [
+ "ㄇㄢ4",
+ "ㄨㄢ4",
+ "ㄇㄢ2"
+ ],
+ "槿": [
+ "ㄐㄧㄣ3",
+ "ㄑㄧㄣ2"
+ ],
+ "樀": [
+ "ㄉㄧ2",
+ "ㄓ2",
+ "ㄓㄜ2",
+ "ㄉㄧ1"
+ ],
+ "樁": [
+ "ㄓㄨㄤ1",
+ "ㄔㄨㄥ1"
+ ],
+ "樂": [
+ "ㄌㄜ4",
+ "ㄩㄝ4",
+ "ㄧㄠ4",
+ "ㄌㄨㄛ4",
+ "ㄌㄧㄠ2"
+ ],
+ "樃": [
+ "ㄌㄤ3"
+ ],
+ "樄": [
+ "ㄔㄣ2"
+ ],
+ "樅": [
+ "ㄘㄨㄥ1",
+ "ㄗㄨㄥ1"
+ ],
+ "樆": [
+ "ㄌㄧ2",
+ "ㄔ1"
+ ],
+ "樇": [
+ "ㄒㄧㄡ1"
+ ],
+ "樈": [
+ "ㄑㄧㄥ2"
+ ],
+ "樉": [
+ "ㄕㄨㄤ3"
+ ],
+ "樊": [
+ "ㄈㄢ2",
+ "ㄈㄢ4"
+ ],
+ "樋": [
+ "ㄊㄨㄥ1"
+ ],
+ "樌": [
+ "ㄍㄨㄢ4"
+ ],
+ "樍": [
+ "ㄗㄜ2"
+ ],
+ "樎": [
+ "ㄙㄨ4"
+ ],
+ "樏": [
+ "ㄌㄟ3",
+ "ㄌㄟ2"
+ ],
+ "樐": [
+ "ㄌㄨ3"
+ ],
+ "樑": [
+ "ㄌㄧㄤ2"
+ ],
+ "樒": [
+ "ㄇㄧ4"
+ ],
+ "樓": [
+ "ㄌㄡ2",
+ "ㄌㄩ2"
+ ],
+ "樔": [
+ "ㄔㄠ2",
+ "ㄔㄠ1",
+ "ㄐㄧㄠ3"
+ ],
+ "樕": [
+ "ㄙㄨ4"
+ ],
+ "樖": [
+ "ㄎㄜ1"
+ ],
+ "樗": [
+ "ㄔㄨ1"
+ ],
+ "樘": [
+ "ㄊㄤ2",
+ "ㄔㄥ1"
+ ],
+ "標": [
+ "ㄅㄧㄠ1",
+ "ㄅㄧㄠ4"
+ ],
+ "樚": [
+ "ㄌㄨ4",
+ "ㄉㄨ2"
+ ],
+ "樛": [
+ "ㄐㄧㄡ1",
+ "ㄌㄧㄠ2"
+ ],
+ "樜": [
+ "ㄓㄜ4"
+ ],
+ "樝": [
+ "ㄓㄚ1"
+ ],
+ "樞": [
+ "ㄕㄨ1",
+ "ㄡ1"
+ ],
+ "樟": [
+ "ㄓㄤ1"
+ ],
+ "樠": [
+ "ㄇㄢ2",
+ "ㄌㄤ3"
+ ],
+ "模": [
+ "ㄇㄛ2",
+ "ㄇㄨ2"
+ ],
+ "樢": [
+ "ㄋㄧㄠ3",
+ "ㄇㄨ4"
+ ],
+ "樣": [
+ "ㄧㄤ4",
+ "ㄒㄧㄤ4"
+ ],
+ "樤": [
+ "ㄊㄧㄠ2"
+ ],
+ "樥": [
+ "ㄆㄥ2"
+ ],
+ "樦": [
+ "ㄓㄨ4"
+ ],
+ "樧": [
+ "ㄕㄚ1"
+ ],
+ "樨": [
+ "ㄒㄧ1"
+ ],
+ "権": [
+ "ㄑㄩㄢ2"
+ ],
+ "横": [
+ "ㄏㄥ2",
+ "ㄏㄥ4",
+ "ㄍㄨㄤ1",
+ "ㄍㄨㄤ4",
+ "ㄏㄨㄤ2",
+ "ㄏㄨㄤ4"
+ ],
+ "樫": [
+ "ㄐㄧㄢ1"
+ ],
+ "樬": [
+ "ㄘㄨㄥ1"
+ ],
+ "樭": [
+ "ㄐㄧ1"
+ ],
+ "樮": [
+ "ㄧㄢ1"
+ ],
+ "樯": [
+ "ㄑㄧㄤ2"
+ ],
+ "樰": [
+ "ㄒㄩㄝ3"
+ ],
+ "樱": [
+ "ㄧㄥ1"
+ ],
+ "樲": [
+ "ㄦ4",
+ "ㄓ4"
+ ],
+ "樳": [
+ "ㄒㄩㄣ2"
+ ],
+ "樴": [
+ "ㄓ2",
+ "ㄧ4"
+ ],
+ "樵": [
+ "ㄑㄧㄠ2"
+ ],
+ "樶": [
+ "ㄗㄨㄟ1"
+ ],
+ "樷": [
+ "ㄘㄨㄥ2"
+ ],
+ "樸": [
+ "ㄆㄨ3",
+ "ㄆㄨ2"
+ ],
+ "樹": [
+ "ㄕㄨ4"
+ ],
+ "樺": [
+ "ㄏㄨㄚ4"
+ ],
+ "樻": [
+ "ㄎㄨㄟ4"
+ ],
+ "樼": [
+ "ㄓㄣ1"
+ ],
+ "樽": [
+ "ㄗㄨㄣ1"
+ ],
+ "樾": [
+ "ㄩㄝ4"
+ ],
+ "樿": [
+ "ㄕㄢ4"
+ ],
+ "橀": [
+ "ㄒㄧ1"
+ ],
+ "橁": [
+ "ㄔㄨㄣ1"
+ ],
+ "橂": [
+ "ㄉㄧㄢ4"
+ ],
+ "橃": [
+ "ㄈㄚ2",
+ "ㄈㄟ4"
+ ],
+ "橄": [
+ "ㄍㄢ3"
+ ],
+ "橅": [
+ "ㄇㄛ2"
+ ],
+ "橆": [
+ "ㄨ3",
+ "ㄨ2"
+ ],
+ "橇": [
+ "ㄑㄧㄠ1"
+ ],
+ "橈": [
+ "ㄖㄠ2",
+ "ㄋㄠ2"
+ ],
+ "橉": [
+ "ㄌㄧㄣ4"
+ ],
+ "橊": [
+ "ㄌㄧㄡ2"
+ ],
+ "橋": [
+ "ㄑㄧㄠ2",
+ "ㄐㄧㄠ1",
+ "ㄐㄧㄠ4",
+ "ㄑㄧㄠ1",
+ "ㄐㄧㄠ3"
+ ],
+ "橌": [
+ "ㄒㄧㄢ4"
+ ],
+ "橍": [
+ "ㄖㄨㄣ4"
+ ],
+ "橎": [
+ "ㄈㄢ2"
+ ],
+ "橏": [
+ "ㄓㄢ3",
+ "ㄐㄧㄢ3"
+ ],
+ "橐": [
+ "ㄊㄨㄛ2",
+ "ㄉㄨ4",
+ "ㄌㄨㄛ4"
+ ],
+ "橑": [
+ "ㄌㄠ3",
+ "ㄌㄧㄠ2"
+ ],
+ "橒": [
+ "ㄩㄣ2"
+ ],
+ "橓": [
+ "ㄕㄨㄣ4"
+ ],
+ "橔": [
+ "ㄉㄨㄣ1",
+ "ㄊㄨㄟ2"
+ ],
+ "橕": [
+ "ㄔㄥ1"
+ ],
+ "橖": [
+ "ㄊㄤ2",
+ "ㄔㄥ1"
+ ],
+ "橗": [
+ "ㄇㄥ2"
+ ],
+ "橘": [
+ "ㄐㄩ2"
+ ],
+ "橙": [
+ "ㄔㄥ2",
+ "ㄉㄥ4",
+ "ㄔㄣ2"
+ ],
+ "橚": [
+ "ㄙㄨ4",
+ "ㄒㄧㄠ1",
+ "ㄑㄧㄡ1"
+ ],
+ "橛": [
+ "ㄐㄩㄝ2"
+ ],
+ "橜": [
+ "ㄐㄩㄝ2"
+ ],
+ "橝": [
+ "ㄉㄧㄢ4",
+ "ㄊㄢ2",
+ "ㄒㄧㄣ2"
+ ],
+ "橞": [
+ "ㄏㄨㄟ4"
+ ],
+ "機": [
+ "ㄐㄧ1"
+ ],
+ "橠": [
+ "ㄋㄨㄛ3",
+ "ㄋㄨㄛ2"
+ ],
+ "橡": [
+ "ㄒㄧㄤ4"
+ ],
+ "橢": [
+ "ㄊㄨㄛ3",
+ "ㄉㄨㄛ3"
+ ],
+ "橣": [
+ "ㄋㄧㄥ3"
+ ],
+ "橤": [
+ "ㄖㄨㄟ3"
+ ],
+ "橥": [
+ "ㄓㄨ1"
+ ],
+ "橦": [
+ "ㄊㄨㄥ2",
+ "ㄔㄨㄤ2",
+ "ㄓㄨㄥ1",
+ "ㄔㄨㄥ1"
+ ],
+ "橧": [
+ "ㄗㄥ1",
+ "ㄘㄥ2"
+ ],
+ "橨": [
+ "ㄈㄣ2",
+ "ㄈㄣ4",
+ "ㄈㄟ4"
+ ],
+ "橩": [
+ "ㄑㄩㄥ2"
+ ],
+ "橪": [
+ "ㄖㄢ3",
+ "ㄧㄢ1"
+ ],
+ "橫": [
+ "ㄏㄥ2"
+ ],
+ "橬": [
+ "ㄑㄧㄢ2",
+ "ㄑㄧㄣ2"
+ ],
+ "橭": [
+ "ㄍㄨ1"
+ ],
+ "橮": [
+ "ㄌㄧㄡ3"
+ ],
+ "橯": [
+ "ㄌㄠ4"
+ ],
+ "橰": [
+ "ㄍㄠ1"
+ ],
+ "橱": [
+ "ㄔㄨ2"
+ ],
+ "橲": [
+ "ㄒㄧ3"
+ ],
+ "橳": [
+ "ㄕㄥ4"
+ ],
+ "橴": [
+ "ㄗ3"
+ ],
+ "橵": [
+ "ㄙㄢ5"
+ ],
+ "橶": [
+ "ㄐㄧ2"
+ ],
+ "橷": [
+ "ㄉㄡ1"
+ ],
+ "橸": [
+ "ㄐㄧㄥ1"
+ ],
+ "橹": [
+ "ㄌㄨ3"
+ ],
+ "橺": [
+ "ㄐㄧㄢ5"
+ ],
+ "橻": [
+ "ㄔㄨ5"
+ ],
+ "橼": [
+ "ㄩㄢ2"
+ ],
+ "橽": [
+ "ㄊㄚ4"
+ ],
+ "橾": [
+ "ㄕㄨ1",
+ "ㄑㄧㄠ1",
+ "ㄙㄠ1"
+ ],
+ "橿": [
+ "ㄐㄧㄤ1"
+ ],
+ "檀": [
+ "ㄊㄢ2",
+ "ㄕㄢ4"
+ ],
+ "檁": [
+ "ㄌㄧㄣ3"
+ ],
+ "檂": [
+ "ㄋㄨㄥ2"
+ ],
+ "檃": [
+ "ㄧㄣ3"
+ ],
+ "檄": [
+ "ㄒㄧ2"
+ ],
+ "檅": [
+ "ㄏㄨㄟ4"
+ ],
+ "檆": [
+ "ㄕㄢ1"
+ ],
+ "檇": [
+ "ㄗㄨㄟ4"
+ ],
+ "檈": [
+ "ㄒㄩㄢ2"
+ ],
+ "檉": [
+ "ㄔㄥ1"
+ ],
+ "檊": [
+ "ㄍㄢ4"
+ ],
+ "檋": [
+ "ㄐㄩ2"
+ ],
+ "檌": [
+ "ㄗㄨㄟ4"
+ ],
+ "檍": [
+ "ㄧ4"
+ ],
+ "檎": [
+ "ㄑㄧㄣ2"
+ ],
+ "檏": [
+ "ㄆㄨ3"
+ ],
+ "檐": [
+ "ㄧㄢ2",
+ "ㄉㄢ1"
+ ],
+ "檑": [
+ "ㄌㄟ2",
+ "ㄌㄟ4"
+ ],
+ "檒": [
+ "ㄈㄥ1"
+ ],
+ "檓": [
+ "ㄏㄨㄟ3"
+ ],
+ "檔": [
+ "ㄉㄤ4",
+ "ㄉㄤ1"
+ ],
+ "檕": [
+ "ㄐㄧ4"
+ ],
+ "檖": [
+ "ㄙㄨㄟ4"
+ ],
+ "檗": [
+ "ㄅㄛ4",
+ "ㄅㄧ4"
+ ],
+ "檘": [
+ "ㄆㄧㄥ2",
+ "ㄅㄛ4"
+ ],
+ "檙": [
+ "ㄔㄥ2"
+ ],
+ "檚": [
+ "ㄔㄨ3"
+ ],
+ "檛": [
+ "ㄓㄨㄚ1"
+ ],
+ "檜": [
+ "ㄍㄨㄟ4",
+ "ㄎㄨㄞ4",
+ "ㄏㄨㄟ4"
+ ],
+ "檝": [
+ "ㄐㄧ2"
+ ],
+ "檞": [
+ "ㄐㄧㄝ3",
+ "ㄒㄧㄝ4"
+ ],
+ "檟": [
+ "ㄐㄧㄚ3"
+ ],
+ "檠": [
+ "ㄑㄧㄥ2",
+ "ㄐㄧㄥ4"
+ ],
+ "檡": [
+ "ㄓㄞ2",
+ "ㄕ4",
+ "ㄊㄨ2"
+ ],
+ "檢": [
+ "ㄐㄧㄢ3"
+ ],
+ "檣": [
+ "ㄑㄧㄤ2"
+ ],
+ "檤": [
+ "ㄉㄠ4"
+ ],
+ "檥": [
+ "ㄧ3"
+ ],
+ "檦": [
+ "ㄅㄧㄠ3"
+ ],
+ "檧": [
+ "ㄙㄨㄥ1"
+ ],
+ "檨": [
+ "ㄕㄜ1"
+ ],
+ "檩": [
+ "ㄌㄧㄣ3"
+ ],
+ "檪": [
+ "ㄌㄧ4"
+ ],
+ "檫": [
+ "ㄔㄚ2",
+ "ㄙㄚ4"
+ ],
+ "檬": [
+ "ㄇㄥ2"
+ ],
+ "檭": [
+ "ㄧㄣ2"
+ ],
+ "檮": [
+ "ㄊㄠ2",
+ "ㄔㄡ2",
+ "ㄉㄠ4"
+ ],
+ "檯": [
+ "ㄊㄞ2"
+ ],
+ "檰": [
+ "ㄇㄧㄢ2"
+ ],
+ "檱": [
+ "ㄑㄧ2"
+ ],
+ "檲": [
+ "ㄊㄨㄢ2"
+ ],
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+ "ㄅㄧㄣ1",
+ "ㄅㄧㄥ1"
+ ],
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+ "ㄏㄨㄚ4"
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+ "ㄐㄧ4"
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+ "ㄇㄧ2"
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+ "ㄧ1"
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+ "ㄍㄠ3"
+ ],
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+ "ㄎㄢ3",
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+ "ㄧㄣ4"
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+ "ㄋㄡ4",
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+ "ㄧㄢ3"
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+ "ㄇㄧ4"
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+ "ㄉㄧ2"
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+ "ㄍㄨㄟ4"
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+ "ㄔㄨㄣ1"
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+ "ㄐㄧ1",
+ "ㄐㄧ4"
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+ "ㄆㄛ2"
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+ "ㄉㄥ4"
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+ "ㄔㄨ2"
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+ "ㄍㄜ2"
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+ "ㄇㄧㄢ2"
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+ "ㄧㄡ1"
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+ "ㄓ4"
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+ "ㄍㄨ3"
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+ "ㄑㄧㄢ1"
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+ "ㄌㄟ3"
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+ "ㄌㄟ3"
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+ "ㄙㄚ4"
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+ "ㄌㄨ3"
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+ "ㄌㄧ4"
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+ "ㄘㄨㄢ2"
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+ "ㄌㄩ4",
+ "ㄔㄨ1"
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+ "ㄇㄧㄝ4",
+ "ㄇㄟ4"
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+ "ㄏㄨㄟ4"
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+ "ㄌㄩ2"
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+ "ㄓ4"
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+ "ㄍㄠ1"
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+ "ㄉㄨ2"
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+ "ㄩㄢ2"
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+ "ㄌㄨㄛ4",
+ "ㄩㄝ4"
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+ "ㄓㄨ4"
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+ "ㄙㄡ3"
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+ "ㄌㄧㄢ2"
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+ "ㄐㄧㄤ4"
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+ "ㄔㄨ2"
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+ "ㄑㄧㄥ4"
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+ "ㄓㄨ1"
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+ "ㄌㄨ2",
+ "ㄌㄩ2"
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+ "櫩": [
+ "ㄧㄢ2",
+ "ㄧㄢ3"
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+ "ㄌㄧ4"
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+ "ㄓㄨ1"
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+ "ㄔㄣ4",
+ "ㄑㄧㄣ4",
+ "ㄍㄨㄢ4"
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+ "ㄐㄧ4"
+ ],
+ "櫮": [
+ "ㄜ4"
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+ "ㄙㄨ1"
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+ "ㄍㄨㄟ1"
+ ],
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+ "ㄩ4"
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+ ],
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+ "ㄐㄧㄠ5"
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+ "ㄒㄧㄢ3"
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+ "ㄍㄨㄟ1"
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+ "ㄐㄩ3"
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+ "ㄒㄧㄠ1",
+ "ㄑㄧㄡ1",
+ "ㄒㄧㄡ1"
+ ],
+ "櫺": [
+ "ㄌㄧㄥ2"
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+ "櫻": [
+ "ㄧㄥ1"
+ ],
+ "櫼": [
+ "ㄐㄧㄢ1",
+ "ㄕㄢ1"
+ ],
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+ "ㄧㄣ3"
+ ],
+ "櫾": [
+ "ㄧㄡ2",
+ "ㄧㄡ4"
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+ "ㄧㄥ2"
+ ],
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+ "ㄒㄧㄤ1",
+ "ㄖㄤ4"
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+ "ㄅㄛ2"
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+ "ㄓㄢ4"
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+ "ㄌㄧㄢ4"
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+ "ㄕㄨㄤ1"
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+ "ㄕㄜ4"
+ ],
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+ "ㄗㄨㄟ4"
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+ "ㄘㄨㄥ2"
+ ],
+ "權": [
+ "ㄑㄩㄢ2",
+ "ㄍㄨㄢ4"
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+ "ㄑㄩ2"
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+ "ㄘㄤ2"
+ ],
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+ "ㄐㄧㄡ4"
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+ "ㄩ4"
+ ],
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+ "ㄌㄨㄛ3"
+ ],
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+ "ㄌㄧ4",
+ "ㄌㄧ3"
+ ],
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+ "ㄘㄨㄢ2",
+ "ㄗㄨㄢ4"
+ ],
+ "欒": [
+ "ㄌㄨㄢ2"
+ ],
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+ "ㄉㄤ3",
+ "ㄊㄤ3"
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+ "ㄐㄩㄝ2"
+ ],
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+ "ㄧㄢ2"
+ ],
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+ "ㄌㄢ3"
+ ],
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+ "ㄌㄢ2"
+ ],
+ "欘": [
+ "ㄓㄨ2"
+ ],
+ "欙": [
+ "ㄌㄟ2",
+ "ㄌㄨㄛ3"
+ ],
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+ "ㄌㄧ3"
+ ],
+ "欛": [
+ "ㄅㄚ4"
+ ],
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+ "ㄋㄤ2"
+ ],
+ "欝": [
+ "ㄩ4"
+ ],
+ "欞": [
+ "ㄌㄧㄥ2"
+ ],
+ "欟": [
+ "ㄍㄨㄤ5"
+ ],
+ "欠": [
+ "ㄑㄧㄢ4"
+ ],
+ "次": [
+ "ㄘ4",
+ "ㄗ1",
+ "ㄘ2"
+ ],
+ "欢": [
+ "ㄏㄨㄢ1"
+ ],
+ "欣": [
+ "ㄒㄧㄣ1"
+ ],
+ "欤": [
+ "ㄩ2"
+ ],
+ "欥": [
+ "ㄧ4",
+ "ㄏㄨㄢ1",
+ "ㄩ4"
+ ],
+ "欦": [
+ "ㄑㄧㄢ1",
+ "ㄏㄢ1",
+ "ㄒㄧㄢ1",
+ "ㄑㄧㄢ2"
+ ],
+ "欧": [
+ "ㄡ1"
+ ],
+ "欨": [
+ "ㄒㄩ1"
+ ],
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+ "ㄔㄠ1"
+ ],
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+ "ㄔㄨ4",
+ "ㄒㄧ4",
+ "ㄑㄩ4"
+ ],
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+ "ㄑㄧ4"
+ ],
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+ "ㄎㄞ4",
+ "ㄞ4"
+ ],
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+ "ㄧ4",
+ "ㄧㄣ1"
+ ],
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+ "ㄐㄩㄝ2"
+ ],
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+ "ㄒㄧ4",
+ "ㄎㄞ4"
+ ],
+ "欰": [
+ "ㄒㄩ4"
+ ],
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+ "ㄏㄜ1",
+ "ㄒㄧㄚ2"
+ ],
+ "欲": [
+ "ㄩ4"
+ ],
+ "欳": [
+ "ㄎㄨㄟ4"
+ ],
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+ "ㄌㄤ2"
+ ],
+ "欵": [
+ "ㄎㄨㄢ3"
+ ],
+ "欶": [
+ "ㄕㄨㄛ4",
+ "ㄙㄡ4"
+ ],
+ "欷": [
+ "ㄒㄧ1"
+ ],
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+ "ㄞ3",
+ "ê1",
+ "ê2",
+ "ê3",
+ "ê4",
+ "ㄒㄧㄝ4",
+ "ㄟ2",
+ "ㄟ3",
+ "ㄟ4",
+ "ㄟ1"
+ ],
+ "欹": [
+ "ㄧ1",
+ "ㄑㄧ1"
+ ],
+ "欺": [
+ "ㄑㄧ1"
+ ],
+ "欻": [
+ "ㄔㄨㄚ1",
+ "ㄒㄩ1"
+ ],
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+ "ㄔ3",
+ "ㄔㄨㄞ4"
+ ],
+ "欽": [
+ "ㄑㄧㄣ1",
+ "ㄑㄧㄣ4",
+ "ㄧㄣ2"
+ ],
+ "款": [
+ "ㄎㄨㄢ3",
+ "ㄒㄧㄣ1"
+ ],
+ "欿": [
+ "ㄎㄢ3",
+ "ㄑㄧㄢ4",
+ "ㄉㄢ4"
+ ],
+ "歀": [
+ "ㄎㄨㄢ3"
+ ],
+ "歁": [
+ "ㄎㄢ3",
+ "ㄎㄜ4",
+ "ㄑㄧㄢ3"
+ ],
+ "歂": [
+ "ㄔㄨㄢ3",
+ "ㄔㄨㄢ2"
+ ],
+ "歃": [
+ "ㄕㄚ4",
+ "ㄒㄧㄚ2"
+ ],
+ "歄": [
+ "ㄍㄨㄚ1"
+ ],
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+ "ㄧㄣ1"
+ ],
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+ "ㄒㄧㄣ1"
+ ],
+ "歇": [
+ "ㄒㄧㄝ1",
+ "ㄧㄚ4"
+ ],
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+ "ㄩ2"
+ ],
+ "歉": [
+ "ㄑㄧㄢ4"
+ ],
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+ "ㄒㄧㄠ1"
+ ],
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+ "ㄧㄝ4"
+ ],
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+ "ㄍㄜ1"
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+ "ㄨ1",
+ "ㄧㄤ1"
+ ],
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+ "ㄊㄢ4"
+ ],
+ "歏": [
+ "ㄐㄧㄣ4",
+ "ㄑㄩㄣ1"
+ ],
+ "歐": [
+ "ㄡ1",
+ "ㄡ3"
+ ],
+ "歑": [
+ "ㄏㄨ1"
+ ],
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+ "ㄊㄧ4",
+ "ㄒㄧㄠ1"
+ ],
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+ "ㄏㄨㄢ1"
+ ],
+ "歔": [
+ "ㄒㄩ1"
+ ],
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+ "ㄆㄣ1"
+ ],
+ "歖": [
+ "ㄒㄧ3",
+ "ㄧ3"
+ ],
+ "歗": [
+ "ㄒㄧㄠ4"
+ ],
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+ "ㄔㄨㄚ1",
+ "ㄒㄩ1"
+ ],
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+ "ㄕㄜ4",
+ "ㄒㄧ1",
+ "ㄒㄧㄝ2"
+ ],
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+ "ㄕㄢ4"
+ ],
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+ "ㄏㄢ1",
+ "ㄌㄧㄢ3"
+ ],
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+ ],
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+ "ㄧ4"
+ ],
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+ ],
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+ "ㄩ2"
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+ ],
+ "歡": [
+ "ㄏㄨㄢ1"
+ ],
+ "止": [
+ "ㄓ3"
+ ],
+ "正": [
+ "ㄓㄥ4",
+ "ㄓㄥ1"
+ ],
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+ "ㄘ3"
+ ],
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+ "ㄅㄨ4"
+ ],
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+ "ㄨ3"
+ ],
+ "歧": [
+ "ㄑㄧ2"
+ ],
+ "歨": [
+ "ㄅㄨ4"
+ ],
+ "歩": [
+ "ㄅㄨ4"
+ ],
+ "歪": [
+ "ㄨㄞ1",
+ "ㄨㄞ3"
+ ],
+ "歫": [
+ "ㄐㄩ4"
+ ],
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+ "ㄑㄧㄢ2"
+ ],
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+ "ㄔ2",
+ "ㄓ4"
+ ],
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+ "ㄙㄜ4"
+ ],
+ "歯": [
+ "ㄔ3"
+ ],
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+ "ㄙㄜ4",
+ "ㄕㄚ4"
+ ],
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+ ],
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+ "ㄙㄨㄟ4",
+ "ㄙㄨㄛ4"
+ ],
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+ "ㄙㄨㄟ4"
+ ],
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+ "ㄌㄧ4"
+ ],
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+ ],
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+ "ㄩ2"
+ ],
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+ "ㄌㄧ4"
+ ],
+ "歸": [
+ "ㄍㄨㄟ1",
+ "ㄎㄨㄟ4",
+ "ㄎㄨㄟ2"
+ ],
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+ "ㄜ4",
+ "ㄉㄞ1"
+ ],
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+ "ㄜ4"
+ ],
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+ "ㄙ3"
+ ],
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+ "ㄐㄧㄢ1"
+ ],
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+ "ㄓㄜ2"
+ ],
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+ "ㄇㄛ4",
+ "ㄨㄣ3"
+ ],
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+ "ㄇㄛ4"
+ ],
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+ "ㄧㄠ1"
+ ],
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+ "ㄇㄛ4",
+ "ㄨㄣ3"
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+ ],
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+ "ㄧㄤ1"
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+ "ㄕㄤ1"
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+ ],
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+ "ㄕㄨ1"
+ ],
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+ "ㄘㄢ2"
+ ],
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+ ],
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+ "ㄅㄧ4"
+ ],
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+ "ㄑㄧㄡ2"
+ ],
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+ "ㄙㄨ4"
+ ],
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+ "ㄐㄧㄥ1",
+ "ㄐㄧㄥ4"
+ ],
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+ "ㄩㄣ3"
+ ],
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+ "ㄧ4"
+ ],
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+ "ㄧㄝ4",
+ "ㄅㄛ2"
+ ],
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+ "ㄕ5",
+ "ㄕ4"
+ ],
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+ "ㄧㄢ4",
+ "ㄧㄢ1"
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+ ],
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+ "ㄇㄣ4"
+ ],
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+ "ㄉㄢ1"
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+ ],
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+ ],
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+ "ㄧㄢ1",
+ "ㄧㄣ3"
+ ],
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+ "ㄎㄥ1",
+ "ㄕㄥ1"
+ ],
+ "殹": [
+ "ㄧ4"
+ ],
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+ "ㄕㄚ1",
+ "ㄕㄞ4",
+ "ㄙㄚ4",
+ "ㄒㄧㄝ4",
+ "ㄕ4"
+ ],
+ "殻": [
+ "ㄑㄧㄠ4"
+ ],
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+ "ㄎㄜ2",
+ "ㄑㄧㄠ4"
+ ],
+ "殽": [
+ "ㄒㄧㄠ2",
+ "ㄧㄠ2",
+ "ㄒㄧㄠ4"
+ ],
+ "殾": [
+ "ㄒㄩㄣ4"
+ ],
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+ "ㄉㄧㄢ4"
+ ],
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+ "ㄉㄢ4"
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+ "ㄌㄩ4"
+ ],
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+ "ㄧㄤ3"
+ ],
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+ "ㄩㄣ1",
+ "ㄩㄣ2"
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+ "ㄩㄣ1"
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+ "ㄕㄨㄟ5"
+ ],
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+ "ㄔㄥ2",
+ "ㄓㄥ4"
+ ],
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+ "ㄉㄤ4"
+ ],
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+ "ㄕㄨㄟ3"
+ ],
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+ "ㄌㄜ4"
+ ],
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+ "ㄋㄧ4",
+ "ㄇㄟ4"
+ ],
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+ "ㄊㄨㄣ3",
+ "ㄑㄧㄡ2"
+ ],
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+ "ㄈㄢ4",
+ "ㄈㄢ2"
+ ],
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+ "ㄐㄧㄡ3",
+ "ㄑㄧㄡ2"
+ ],
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+ "ㄊㄧㄥ4",
+ "ㄉㄧㄥ4"
+ ],
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+ "ㄒㄧㄝ2",
+ "ㄕ2"
+ ],
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+ ],
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+ "ㄅㄧㄣ1",
+ "ㄆㄚ4",
+ "ㄆㄚ1"
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+ "ㄗㄜ4"
+ ],
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+ ],
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+ ],
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+ "ㄔㄚ4"
+ ],
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+ "ㄩㄝ4",
+ "ㄑㄩㄝ4",
+ "ㄕㄨㄛ4"
+ ],
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+ ],
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+ "ㄏㄨㄢ2"
+ ],
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+ "ㄈㄚ2"
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+ "ㄊㄞ4"
+ ],
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+ "ㄒㄧ1"
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+ "ㄊㄨㄛ1"
+ ],
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+ "ㄇㄤ3"
+ ],
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+ "ㄧㄡ2"
+ ],
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+ "ㄑㄧ4"
+ ],
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+ "ㄕㄢ4",
+ "ㄕㄨㄢ4"
+ ],
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+ "ㄆㄧㄣ4",
+ "ㄔ2"
+ ],
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+ "ㄏㄢ2",
+ "ㄍㄢ1"
+ ],
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+ "ㄑㄧㄢ1"
+ ],
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+ "ㄩ2",
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+ "ㄩ1"
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+ ],
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+ ],
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+ ],
+ "汞": [
+ "ㄍㄨㄥ3"
+ ],
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+ "ㄐㄧㄤ1"
+ ],
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+ "ㄊㄨㄛ2",
+ "ㄔㄜ4"
+ ],
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+ ],
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+ ],
+ "汣": [
+ "ㄐㄧㄡ3"
+ ],
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+ "ㄊㄤ1",
+ "ㄕㄤ1"
+ ],
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+ "ㄐㄧ4"
+ ],
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+ "ㄓ3"
+ ],
+ "汧": [
+ "ㄑㄧㄢ1",
+ "ㄧㄢ2"
+ ],
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+ "ㄇㄧ4"
+ ],
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+ "ㄍㄨ3",
+ "ㄩ4",
+ "ㄏㄨ2"
+ ],
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+ "ㄨㄤ3",
+ "ㄏㄨㄥ2"
+ ],
+ "汫": [
+ "ㄐㄧㄥ3"
+ ],
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+ "ㄐㄧㄥ3"
+ ],
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+ "ㄊㄨㄣ1"
+ ],
+ "汮": [
+ "ㄐㄩㄣ1"
+ ],
+ "汯": [
+ "ㄏㄨㄥ2"
+ ],
+ "汰": [
+ "ㄊㄞ4"
+ ],
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+ "ㄑㄩㄢ3",
+ "ㄈㄨ2"
+ ],
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+ "ㄐㄧ1"
+ ],
+ "汳": [
+ "ㄅㄧㄢ4"
+ ],
+ "汴": [
+ "ㄅㄧㄢ4"
+ ],
+ "汵": [
+ "ㄍㄢ4",
+ "ㄏㄢ2",
+ "ㄘㄣ2"
+ ],
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+ "ㄨㄣ4",
+ "ㄨㄣ2",
+ "ㄇㄧㄣ2",
+ "ㄇㄣ2"
+ ],
+ "汷": [
+ "ㄓㄨㄥ1"
+ ],
+ "汸": [
+ "ㄈㄤ1",
+ "ㄆㄤ1"
+ ],
+ "汹": [
+ "ㄒㄩㄥ1"
+ ],
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+ "ㄐㄩㄝ2",
+ "ㄑㄩㄝ1",
+ "ㄒㄩㄝ4"
+ ],
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+ "ㄏㄨ3",
+ "ㄏㄨㄤ3"
+ ],
+ "汼": [
+ "ㄋㄧㄡ2",
+ "ㄧㄡ2"
+ ],
+ "汽": [
+ "ㄑㄧ4",
+ "ㄍㄞ4",
+ "ㄧ3"
+ ],
+ "汾": [
+ "ㄈㄣ2",
+ "ㄆㄣ2",
+ "ㄈㄣ1"
+ ],
+ "汿": [
+ "ㄒㄩ4"
+ ],
+ "沀": [
+ "ㄒㄩ4"
+ ],
+ "沁": [
+ "ㄑㄧㄣ4"
+ ],
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+ "ㄧㄣ2"
+ ],
+ "沃": [
+ "ㄨㄛ4"
+ ],
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+ "ㄩㄣ2"
+ ],
+ "沅": [
+ "ㄩㄢ2"
+ ],
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+ "ㄏㄤ4",
+ "ㄏㄤ2",
+ "ㄎㄤ4"
+ ],
+ "沇": [
+ "ㄧㄢ3",
+ "ㄨㄟ3"
+ ],
+ "沈": [
+ "ㄕㄣ3",
+ "ㄔㄣ2",
+ "ㄊㄢ2"
+ ],
+ "沉": [
+ "ㄔㄣ2"
+ ],
+ "沊": [
+ "ㄉㄢ4"
+ ],
+ "沋": [
+ "ㄧㄡ2"
+ ],
+ "沌": [
+ "ㄉㄨㄣ4",
+ "ㄓㄨㄢ4",
+ "ㄊㄨㄣ2",
+ "ㄔㄨㄣ2"
+ ],
+ "沍": [
+ "ㄏㄨ4",
+ "ㄏㄨ2"
+ ],
+ "沎": [
+ "ㄏㄨㄛ4"
+ ],
+ "沏": [
+ "ㄑㄧ1",
+ "ㄑㄧㄝ4"
+ ],
+ "沐": [
+ "ㄇㄨ4"
+ ],
+ "沑": [
+ "ㄋㄩ4",
+ "ㄋㄧㄡ3"
+ ],
+ "沒": [
+ "ㄇㄟ2"
+ ],
+ "沓": [
+ "ㄉㄚ2",
+ "ㄊㄚ4"
+ ],
+ "沔": [
+ "ㄇㄧㄢ3"
+ ],
+ "沕": [
+ "ㄇㄧ4",
+ "ㄨ4",
+ "ㄈㄨ1"
+ ],
+ "沖": [
+ "ㄔㄨㄥ1"
+ ],
+ "沗": [
+ "ㄆㄤ1",
+ "ㄊㄧㄢ1"
+ ],
+ "沘": [
+ "ㄅㄧ3"
+ ],
+ "沙": [
+ "ㄕㄚ1",
+ "ㄕㄚ4",
+ "ㄙㄨㄛ1"
+ ],
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+ "ㄓ3"
+ ],
+ "沛": [
+ "ㄆㄟ4"
+ ],
+ "沜": [
+ "ㄆㄢ4"
+ ],
+ "沝": [
+ "ㄓㄨㄟ3",
+ "ㄗ3"
+ ],
+ "沞": [
+ "ㄗㄚ1"
+ ],
+ "沟": [
+ "ㄍㄡ1"
+ ],
+ "沠": [
+ "ㄌㄧㄡ2"
+ ],
+ "没": [
+ "ㄇㄟ2",
+ "ㄇㄛ4",
+ "ㄇㄜ5"
+ ],
+ "沢": [
+ "ㄗㄜ2"
+ ],
+ "沣": [
+ "ㄈㄥ1"
+ ],
+ "沤": [
+ "ㄡ1",
+ "ㄡ4"
+ ],
+ "沥": [
+ "ㄌㄧ4"
+ ],
+ "沦": [
+ "ㄌㄨㄣ2"
+ ],
+ "沧": [
+ "ㄘㄤ1"
+ ],
+ "沨": [
+ "ㄈㄥ1"
+ ],
+ "沩": [
+ "ㄨㄟ2"
+ ],
+ "沪": [
+ "ㄏㄨ4"
+ ],
+ "沫": [
+ "ㄇㄛ4"
+ ],
+ "沬": [
+ "ㄇㄟ4",
+ "ㄏㄨㄟ4"
+ ],
+ "沭": [
+ "ㄕㄨ4"
+ ],
+ "沮": [
+ "ㄐㄩ3",
+ "ㄐㄩ1",
+ "ㄐㄩ4",
+ "ㄐㄧㄢ1",
+ "ㄗㄨ3"
+ ],
+ "沯": [
+ "ㄗㄚ2"
+ ],
+ "沰": [
+ "ㄊㄨㄛ1",
+ "ㄉㄨㄛ2"
+ ],
+ "沱": [
+ "ㄊㄨㄛ2",
+ "ㄉㄨㄛ4",
+ "ㄔ2"
+ ],
+ "沲": [
+ "ㄊㄨㄛ2"
+ ],
+ "河": [
+ "ㄏㄜ2"
+ ],
+ "沴": [
+ "ㄌㄧ4",
+ "ㄓㄣ3"
+ ],
+ "沵": [
+ "ㄇㄧ3"
+ ],
+ "沶": [
+ "ㄧ2",
+ "ㄔ2",
+ "ㄕ4"
+ ],
+ "沷": [
+ "ㄈㄚ1"
+ ],
+ "沸": [
+ "ㄈㄟ4",
+ "ㄈㄨ2"
+ ],
+ "油": [
+ "ㄧㄡ2",
+ "ㄧㄡ4"
+ ],
+ "沺": [
+ "ㄊㄧㄢ2"
+ ],
+ "治": [
+ "ㄓ4",
+ "ㄔ2"
+ ],
+ "沼": [
+ "ㄓㄠ3"
+ ],
+ "沽": [
+ "ㄍㄨ1",
+ "ㄍㄨ3"
+ ],
+ "沾": [
+ "ㄓㄢ1",
+ "ㄊㄧㄢ1",
+ "ㄉㄧㄢ4",
+ "ㄔㄢ1"
+ ],
+ "沿": [
+ "ㄧㄢ2",
+ "ㄧㄢ3",
+ "ㄧㄢ4"
+ ],
+ "泀": [
+ "ㄙ1"
+ ],
+ "況": [
+ "ㄎㄨㄤ4"
+ ],
+ "泂": [
+ "ㄐㄩㄥ3",
+ "ㄧㄥ2",
+ "ㄧㄥ3",
+ "ㄐㄩㄥ1"
+ ],
+ "泃": [
+ "ㄐㄩ1",
+ "ㄍㄡ1"
+ ],
+ "泄": [
+ "ㄒㄧㄝ4",
+ "ㄧ4"
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+ "ㄉㄢ4"
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+ "ㄧㄣ2"
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+ "ㄓㄚ1"
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+ "ㄙㄢ4"
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+ "ㄏㄢ4"
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+ "ㄒㄧㄠ4"
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+ "ㄡ3"
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+ "ㄘ2"
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+ "ㄩㄥ3"
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+ "ㄒㄩㄢ4"
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+ "ㄉㄢ4",
+ "ㄓㄢ1"
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+ "ㄊㄢ2",
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+ "ㄕㄢ4"
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+ "ㄑㄧㄣ2"
+ ],
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+ "ㄐㄧ1",
+ "ㄐㄧㄠ4",
+ "ㄐㄧㄠ1"
+ ],
+ "濁": [
+ "ㄓㄨㄛ2"
+ ],
+ "濂": [
+ "ㄌㄧㄢ2",
+ "ㄒㄧㄢ3"
+ ],
+ "濃": [
+ "ㄋㄨㄥ2"
+ ],
+ "濄": [
+ "ㄍㄨㄛ1",
+ "ㄨㄛ1"
+ ],
+ "濅": [
+ "ㄐㄧㄣ4"
+ ],
+ "濆": [
+ "ㄈㄣ2",
+ "ㄆㄣ1"
+ ],
+ "濇": [
+ "ㄙㄜ4"
+ ],
+ "濈": [
+ "ㄐㄧ2",
+ "ㄕㄚ4"
+ ],
+ "濉": [
+ "ㄙㄨㄟ1"
+ ],
+ "濊": [
+ "ㄏㄨㄟ4",
+ "ㄨㄟ4",
+ "ㄏㄨㄛ4"
+ ],
+ "濋": [
+ "ㄔㄨ3"
+ ],
+ "濌": [
+ "ㄊㄚ4"
+ ],
+ "濍": [
+ "ㄙㄨㄥ1"
+ ],
+ "濎": [
+ "ㄉㄧㄥ3",
+ "ㄊㄧㄥ4"
+ ],
+ "濏": [
+ "ㄙㄜ4"
+ ],
+ "濐": [
+ "ㄓㄨ3"
+ ],
+ "濑": [
+ "ㄌㄞ4"
+ ],
+ "濒": [
+ "ㄅㄧㄣ1"
+ ],
+ "濓": [
+ "ㄌㄧㄢ2"
+ ],
+ "濔": [
+ "ㄇㄧ3",
+ "ㄇㄧ2",
+ "ㄋㄧ3"
+ ],
+ "濕": [
+ "ㄕ1",
+ "ㄊㄚ4",
+ "ㄒㄧ2"
+ ],
+ "濖": [
+ "ㄕㄨ4"
+ ],
+ "濗": [
+ "ㄇㄧ4"
+ ],
+ "濘": [
+ "ㄋㄧㄥ4",
+ "ㄋㄧㄥ2",
+ "ㄋㄧ4"
+ ],
+ "濙": [
+ "ㄧㄥ2"
+ ],
+ "濚": [
+ "ㄧㄥ2"
+ ],
+ "濛": [
+ "ㄇㄥ2"
+ ],
+ "濜": [
+ "ㄐㄧㄣ4",
+ "ㄐㄧㄣ1"
+ ],
+ "濝": [
+ "ㄑㄧ2"
+ ],
+ "濞": [
+ "ㄅㄧ4",
+ "ㄆㄧ4"
+ ],
+ "濟": [
+ "ㄐㄧ4",
+ "ㄐㄧ3",
+ "ㄑㄧ2"
+ ],
+ "濠": [
+ "ㄏㄠ2"
+ ],
+ "濡": [
+ "ㄖㄨ2",
+ "ㄖㄨㄢ3",
+ "ㄦ2",
+ "ㄋㄨㄢ2",
+ "ㄋㄨㄛ4"
+ ],
+ "濢": [
+ "ㄘㄨㄟ4",
+ "ㄗㄨㄟ3"
+ ],
+ "濣": [
+ "ㄨㄛ4"
+ ],
+ "濤": [
+ "ㄊㄠ1",
+ "ㄔㄠ2",
+ "ㄕㄡ4",
+ "ㄉㄠ4"
+ ],
+ "濥": [
+ "ㄧㄣ3"
+ ],
+ "濦": [
+ "ㄧㄣ3"
+ ],
+ "濧": [
+ "ㄉㄨㄟ4"
+ ],
+ "濨": [
+ "ㄘ2"
+ ],
+ "濩": [
+ "ㄏㄨㄛ4",
+ "ㄏㄨ4"
+ ],
+ "濪": [
+ "ㄑㄧㄥ4"
+ ],
+ "濫": [
+ "ㄌㄢ4",
+ "ㄐㄧㄢ4",
+ "ㄌㄢ3",
+ "ㄌㄢ2"
+ ],
+ "濬": [
+ "ㄐㄩㄣ4",
+ "ㄒㄩㄣ4"
+ ],
+ "濭": [
+ "ㄞ3",
+ "ㄎㄞ4",
+ "ㄎㄜ4"
+ ],
+ "濮": [
+ "ㄆㄨ2"
+ ],
+ "濯": [
+ "ㄓㄨㄛ2",
+ "ㄕㄨㄛ4",
+ "ㄓㄠ4"
+ ],
+ "濰": [
+ "ㄨㄟ2"
+ ],
+ "濱": [
+ "ㄅㄧㄣ1"
+ ],
+ "濲": [
+ "ㄍㄨ3"
+ ],
+ "濳": [
+ "ㄑㄧㄢ2"
+ ],
+ "濴": [
+ "ㄧㄥ2"
+ ],
+ "濵": [
+ "ㄅㄧㄣ1"
+ ],
+ "濶": [
+ "ㄎㄨㄛ4"
+ ],
+ "濷": [
+ "ㄈㄟ4"
+ ],
+ "濸": [
+ "ㄘㄤ1"
+ ],
+ "濹": [
+ "ㄇㄜ5"
+ ],
+ "濺": [
+ "ㄐㄧㄢ4",
+ "ㄐㄧㄢ1",
+ "ㄗㄢ4"
+ ],
+ "濻": [
+ "ㄨㄟ3"
+ ],
+ "濼": [
+ "ㄌㄨㄛ4",
+ "ㄆㄛ1",
+ "ㄌㄧ4"
+ ],
+ "濽": [
+ "ㄗㄢ4"
+ ],
+ "濾": [
+ "ㄌㄩ4"
+ ],
+ "濿": [
+ "ㄌㄧ4"
+ ],
+ "瀀": [
+ "ㄧㄡ1"
+ ],
+ "瀁": [
+ "ㄧㄤ4",
+ "ㄧㄤ3"
+ ],
+ "瀂": [
+ "ㄌㄨ3"
+ ],
+ "瀃": [
+ "ㄙ4"
+ ],
+ "瀄": [
+ "ㄓ4"
+ ],
+ "瀅": [
+ "ㄧㄥ2",
+ "ㄧㄥ4",
+ "ㄐㄩㄥ1"
+ ],
+ "瀆": [
+ "ㄉㄨ2",
+ "ㄉㄡ4"
+ ],
+ "瀇": [
+ "ㄨㄤ3",
+ "ㄨㄤ1"
+ ],
+ "瀈": [
+ "ㄏㄨㄟ1"
+ ],
+ "瀉": [
+ "ㄒㄧㄝ4"
+ ],
+ "瀊": [
+ "ㄆㄢ2"
+ ],
+ "瀋": [
+ "ㄕㄣ3",
+ "ㄔㄣ4",
+ "ㄆㄢ2"
+ ],
+ "瀌": [
+ "ㄅㄧㄠ1"
+ ],
+ "瀍": [
+ "ㄔㄢ2"
+ ],
+ "瀎": [
+ "ㄇㄛ4",
+ "ㄇㄧㄝ4"
+ ],
+ "瀏": [
+ "ㄌㄧㄡ2",
+ "ㄌㄧㄡ1"
+ ],
+ "瀐": [
+ "ㄐㄧㄢ1"
+ ],
+ "瀑": [
+ "ㄆㄨ4",
+ "ㄅㄠ4",
+ "ㄅㄛ2"
+ ],
+ "瀒": [
+ "ㄙㄜ4"
+ ],
+ "瀓": [
+ "ㄔㄥ2"
+ ],
+ "瀔": [
+ "ㄍㄨ3"
+ ],
+ "瀕": [
+ "ㄅㄧㄣ1"
+ ],
+ "瀖": [
+ "ㄏㄨㄛ4"
+ ],
+ "瀗": [
+ "ㄒㄧㄢ4"
+ ],
+ "瀘": [
+ "ㄌㄨ2"
+ ],
+ "瀙": [
+ "ㄑㄧㄣ4"
+ ],
+ "瀚": [
+ "ㄏㄢ4"
+ ],
+ "瀛": [
+ "ㄧㄥ2"
+ ],
+ "瀜": [
+ "ㄖㄨㄥ2"
+ ],
+ "瀝": [
+ "ㄌㄧ4"
+ ],
+ "瀞": [
+ "ㄐㄧㄥ4"
+ ],
+ "瀟": [
+ "ㄒㄧㄠ1"
+ ],
+ "瀠": [
+ "ㄧㄥ2"
+ ],
+ "瀡": [
+ "ㄙㄨㄟ3"
+ ],
+ "瀢": [
+ "ㄨㄟ3",
+ "ㄉㄨㄟ4"
+ ],
+ "瀣": [
+ "ㄒㄧㄝ4"
+ ],
+ "瀤": [
+ "ㄏㄨㄞ2",
+ "ㄨㄞ1"
+ ],
+ "瀥": [
+ "ㄒㄩㄝ4"
+ ],
+ "瀦": [
+ "ㄓㄨ1"
+ ],
+ "瀧": [
+ "ㄌㄨㄥ2",
+ "ㄕㄨㄤ1"
+ ],
+ "瀨": [
+ "ㄌㄞ4"
+ ],
+ "瀩": [
+ "ㄉㄨㄟ4"
+ ],
+ "瀪": [
+ "ㄈㄢ2"
+ ],
+ "瀫": [
+ "ㄏㄨ2"
+ ],
+ "瀬": [
+ "ㄌㄞ4"
+ ],
+ "瀭": [
+ "ㄕㄨ1"
+ ],
+ "瀮": [
+ "ㄌㄧㄥ5"
+ ],
+ "瀯": [
+ "ㄧㄥ2"
+ ],
+ "瀰": [
+ "ㄇㄧ2",
+ "ㄇㄧ3",
+ "ㄋㄧ3"
+ ],
+ "瀱": [
+ "ㄐㄧ4"
+ ],
+ "瀲": [
+ "ㄌㄧㄢ4"
+ ],
+ "瀳": [
+ "ㄐㄧㄢ4",
+ "ㄗㄨㄣ4"
+ ],
+ "瀴": [
+ "ㄧㄥ2",
+ "ㄧㄥ3",
+ "ㄧㄥ4"
+ ],
+ "瀵": [
+ "ㄈㄣ4"
+ ],
+ "瀶": [
+ "ㄌㄧㄣ2"
+ ],
+ "瀷": [
+ "ㄧ4"
+ ],
+ "瀸": [
+ "ㄐㄧㄢ1"
+ ],
+ "瀹": [
+ "ㄩㄝ4",
+ "ㄧㄠ4"
+ ],
+ "瀺": [
+ "ㄔㄢ2"
+ ],
+ "瀻": [
+ "ㄉㄞ4"
+ ],
+ "瀼": [
+ "ㄖㄤ2",
+ "ㄖㄤ4",
+ "ㄋㄤ3"
+ ],
+ "瀽": [
+ "ㄐㄧㄢ3"
+ ],
+ "瀾": [
+ "ㄌㄢ2"
+ ],
+ "瀿": [
+ "ㄈㄢ2"
+ ],
+ "灀": [
+ "ㄕㄨㄤ4"
+ ],
+ "灁": [
+ "ㄩㄢ1"
+ ],
+ "灂": [
+ "ㄓㄨㄛ2",
+ "ㄗㄜ2",
+ "ㄐㄧㄠ4"
+ ],
+ "灃": [
+ "ㄈㄥ1"
+ ],
+ "灄": [
+ "ㄕㄜ4",
+ "ㄋㄧ4"
+ ],
+ "灅": [
+ "ㄌㄟ3"
+ ],
+ "灆": [
+ "ㄌㄢ2"
+ ],
+ "灇": [
+ "ㄘㄨㄥ2"
+ ],
+ "灈": [
+ "ㄑㄩ2"
+ ],
+ "灉": [
+ "ㄩㄥ1"
+ ],
+ "灊": [
+ "ㄑㄧㄢ2"
+ ],
+ "灋": [
+ "ㄈㄚ3"
+ ],
+ "灌": [
+ "ㄍㄨㄢ4",
+ "ㄏㄨㄢ4"
+ ],
+ "灍": [
+ "ㄐㄩㄝ2"
+ ],
+ "灎": [
+ "ㄧㄢ4"
+ ],
+ "灏": [
+ "ㄏㄠ4"
+ ],
+ "灐": [
+ "ㄧㄥ2"
+ ],
+ "灑": [
+ "ㄙㄚ3",
+ "ㄒㄧㄢ3",
+ "ㄒㄧ3",
+ "ㄌㄧ2",
+ "ㄕ1"
+ ],
+ "灒": [
+ "ㄗㄢ4",
+ "ㄘㄨㄢ2",
+ "ㄑㄧㄢ2",
+ "ㄗㄚ1"
+ ],
+ "灓": [
+ "ㄌㄨㄢ2",
+ "ㄌㄨㄢ4"
+ ],
+ "灔": [
+ "ㄧㄢ4"
+ ],
+ "灕": [
+ "ㄌㄧ2"
+ ],
+ "灖": [
+ "ㄇㄧ3"
+ ],
+ "灗": [
+ "ㄕㄢ4"
+ ],
+ "灘": [
+ "ㄊㄢ1",
+ "ㄏㄢ4",
+ "ㄋㄢ4"
+ ],
+ "灙": [
+ "ㄉㄤ3"
+ ],
+ "灚": [
+ "ㄐㄧㄠ3"
+ ],
+ "灛": [
+ "ㄔㄢ3"
+ ],
+ "灜": [
+ "ㄧㄥ2"
+ ],
+ "灝": [
+ "ㄏㄠ4"
+ ],
+ "灞": [
+ "ㄅㄚ4"
+ ],
+ "灟": [
+ "ㄓㄨ2"
+ ],
+ "灠": [
+ "ㄌㄢ3",
+ "ㄌㄢ4"
+ ],
+ "灡": [
+ "ㄌㄢ2"
+ ],
+ "灢": [
+ "ㄋㄤ3"
+ ],
+ "灣": [
+ "ㄨㄢ1"
+ ],
+ "灤": [
+ "ㄌㄨㄢ2"
+ ],
+ "灥": [
+ "ㄒㄩㄣ2",
+ "ㄑㄩㄢ2",
+ "ㄑㄩㄢ4"
+ ],
+ "灦": [
+ "ㄒㄧㄢ3"
+ ],
+ "灧": [
+ "ㄧㄢ4"
+ ],
+ "灨": [
+ "ㄍㄢ4"
+ ],
+ "灩": [
+ "ㄧㄢ4"
+ ],
+ "灪": [
+ "ㄩ4"
+ ],
+ "火": [
+ "ㄏㄨㄛ3",
+ "ㄏㄨㄛ1"
+ ],
+ "灬": [
+ "ㄅㄧㄠ1",
+ "ㄏㄨㄛ3"
+ ],
+ "灭": [
+ "ㄇㄧㄝ4"
+ ],
+ "灮": [
+ "ㄍㄨㄤ1"
+ ],
+ "灯": [
+ "ㄉㄥ1",
+ "ㄉㄧㄥ1"
+ ],
+ "灰": [
+ "ㄏㄨㄟ1"
+ ],
+ "灱": [
+ "ㄒㄧㄠ1"
+ ],
+ "灲": [
+ "ㄒㄧㄠ1"
+ ],
+ "灳": [
+ "ㄏㄨㄟ1"
+ ],
+ "灴": [
+ "ㄏㄨㄥ1"
+ ],
+ "灵": [
+ "ㄌㄧㄥ2"
+ ],
+ "灶": [
+ "ㄗㄠ4"
+ ],
+ "灷": [
+ "ㄓㄨㄢ4"
+ ],
+ "灸": [
+ "ㄐㄧㄡ3"
+ ],
+ "灹": [
+ "ㄓㄚ4",
+ "ㄩ4"
+ ],
+ "灺": [
+ "ㄒㄧㄝ4"
+ ],
+ "灻": [
+ "ㄔ4"
+ ],
+ "灼": [
+ "ㄓㄨㄛ2"
+ ],
+ "災": [
+ "ㄗㄞ1"
+ ],
+ "灾": [
+ "ㄗㄞ1"
+ ],
+ "灿": [
+ "ㄘㄢ4"
+ ],
+ "炀": [
+ "ㄧㄤ2"
+ ],
+ "炁": [
+ "ㄑㄧ4"
+ ],
+ "炂": [
+ "ㄓㄨㄥ1"
+ ],
+ "炃": [
+ "ㄈㄣ2",
+ "ㄅㄣ4"
+ ],
+ "炄": [
+ "ㄋㄧㄡ3"
+ ],
+ "炅": [
+ "ㄐㄩㄥ3",
+ "ㄍㄨㄟ4"
+ ],
+ "炆": [
+ "ㄨㄣ2"
+ ],
+ "炇": [
+ "ㄆㄨ1"
+ ],
+ "炈": [
+ "ㄧ4"
+ ],
+ "炉": [
+ "ㄌㄨ2"
+ ],
+ "炊": [
+ "ㄔㄨㄟ1"
+ ],
+ "炋": [
+ "ㄆㄧ1"
+ ],
+ "炌": [
+ "ㄎㄞ4"
+ ],
+ "炍": [
+ "ㄆㄢ4"
+ ],
+ "炎": [
+ "ㄧㄢ2",
+ "ㄧㄢ4",
+ "ㄊㄢ2"
+ ],
+ "炏": [
+ "ㄎㄞ4",
+ "ㄧㄢ2"
+ ],
+ "炐": [
+ "ㄆㄤ4",
+ "ㄈㄥ1"
+ ],
+ "炑": [
+ "ㄇㄨ4"
+ ],
+ "炒": [
+ "ㄔㄠ3"
+ ],
+ "炓": [
+ "ㄌㄧㄠ4"
+ ],
+ "炔": [
+ "ㄍㄨㄟ4",
+ "ㄑㄩㄝ1",
+ "ㄒㄩㄝ4"
+ ],
+ "炕": [
+ "ㄎㄤ4",
+ "ㄏㄤ1"
+ ],
+ "炖": [
+ "ㄉㄨㄣ4",
+ "ㄊㄨㄣ2"
+ ],
+ "炗": [
+ "ㄍㄨㄤ1"
+ ],
+ "炘": [
+ "ㄒㄧㄣ1"
+ ],
+ "炙": [
+ "ㄓ4"
+ ],
+ "炚": [
+ "ㄍㄨㄤ1"
+ ],
+ "炛": [
+ "ㄍㄨㄤ1"
+ ],
+ "炜": [
+ "ㄨㄟ3"
+ ],
+ "炝": [
+ "ㄑㄧㄤ4"
+ ],
+ "炞": [
+ "ㄅㄧㄢ5"
+ ],
+ "炟": [
+ "ㄉㄚ2"
+ ],
+ "炠": [
+ "ㄒㄧㄚ2"
+ ],
+ "炡": [
+ "ㄓㄥ1"
+ ],
+ "炢": [
+ "ㄓㄨ2"
+ ],
+ "炣": [
+ "ㄎㄜ3"
+ ],
+ "炤": [
+ "ㄓㄠ4",
+ "ㄓㄠ1",
+ "ㄓㄠ3"
+ ],
+ "炥": [
+ "ㄈㄨ2"
+ ],
+ "炦": [
+ "ㄅㄚ2"
+ ],
+ "炧": [
+ "ㄒㄧㄝ4"
+ ],
+ "炨": [
+ "ㄒㄧㄝ4"
+ ],
+ "炩": [
+ "ㄌㄧㄥ4"
+ ],
+ "炪": [
+ "ㄓㄨㄛ1",
+ "ㄔㄨ4"
+ ],
+ "炫": [
+ "ㄒㄩㄢ4"
+ ],
+ "炬": [
+ "ㄐㄩ4"
+ ],
+ "炭": [
+ "ㄊㄢ4"
+ ],
+ "炮": [
+ "ㄆㄠ4",
+ "ㄅㄠ1",
+ "ㄆㄠ2"
+ ],
+ "炯": [
+ "ㄐㄩㄥ3"
+ ],
+ "炰": [
+ "ㄆㄠ2",
+ "ㄈㄡ3"
+ ],
+ "炱": [
+ "ㄊㄞ2"
+ ],
+ "炲": [
+ "ㄊㄞ2"
+ ],
+ "炳": [
+ "ㄅㄧㄥ3"
+ ],
+ "炴": [
+ "ㄧㄤ3"
+ ],
+ "炵": [
+ "ㄊㄨㄥ1"
+ ],
+ "炶": [
+ "ㄕㄢ3"
+ ],
+ "炷": [
+ "ㄓㄨ4"
+ ],
+ "炸": [
+ "ㄓㄚ4",
+ "ㄓㄚ2"
+ ],
+ "点": [
+ "ㄉㄧㄢ3"
+ ],
+ "為": [
+ "ㄨㄟ4",
+ "ㄨㄟ2"
+ ],
+ "炻": [
+ "ㄕ2"
+ ],
+ "炼": [
+ "ㄌㄧㄢ4"
+ ],
+ "炽": [
+ "ㄔ4"
+ ],
+ "炾": [
+ "ㄏㄨㄤ3"
+ ],
+ "炿": [
+ "ㄓㄡ1"
+ ],
+ "烀": [
+ "ㄏㄨ1"
+ ],
+ "烁": [
+ "ㄕㄨㄛ4"
+ ],
+ "烂": [
+ "ㄌㄢ4"
+ ],
+ "烃": [
+ "ㄊㄧㄥ1"
+ ],
+ "烄": [
+ "ㄐㄧㄠ3",
+ "ㄧㄠ4"
+ ],
+ "烅": [
+ "ㄒㄩ4"
+ ],
+ "烆": [
+ "ㄏㄥ2"
+ ],
+ "烇": [
+ "ㄑㄩㄢ3"
+ ],
+ "烈": [
+ "ㄌㄧㄝ4"
+ ],
+ "烉": [
+ "ㄏㄨㄢ4"
+ ],
+ "烊": [
+ "ㄧㄤ2",
+ "ㄧㄤ4"
+ ],
+ "烋": [
+ "ㄒㄧㄡ1",
+ "ㄒㄧㄠ1"
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+ "ㄏㄨㄟ3"
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+ "ㄧㄣ1"
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+ "ㄈㄨ1"
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+ "ㄔㄜ4"
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+ "ㄐㄧㄥ3"
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+ "ㄕㄢ1"
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+ "ㄏㄨㄛ4"
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+ "ㄏㄨㄣ1"
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+ "ㄎㄠ4"
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+ "ㄧㄝ4",
+ "ㄩㄝ4",
+ "ㄩㄢ1"
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+ "ㄧ2"
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+ "ㄑㄩ1"
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+ "ㄑㄧ4"
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+ "焕": [
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+ "ㄊㄠ1"
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+ "ㄈㄣ4"
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+ "焝": [
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+ "ㄊㄨㄟ1",
+ "ㄐㄩㄣ4"
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+ "焟": [
+ "ㄒㄧ1"
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+ "ㄇㄛ2"
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+ "ㄐㄩ4"
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+ "ㄞ4"
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+ "ㄑㄧㄠ2"
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+ "焧": [
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+ "焨": [
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+ "ㄖㄜ4"
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+ "焬": [
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+ "ㄧ4"
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+ "焭": [
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+ "焮": [
+ "ㄒㄧㄣ4"
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+ "焯": [
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+ "ㄓㄨㄛ1",
+ "ㄓㄨㄛ2",
+ "ㄔㄨㄛ4"
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+ "焰": [
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+ "焱": [
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+ "ㄧ4"
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+ "焲": [
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+ "焵": [
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+ "焷": [
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+ "焸": [
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+ "ㄧㄥ1",
+ "ㄍㄨ3"
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+ "焹": [
+ "ㄍㄤ4"
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+ "焺": [
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+ "焻": [
+ "ㄔㄤ4",
+ "ㄍㄨㄚ1"
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+ "焼": [
+ "ㄕㄠ1"
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+ "焽": [
+ "ㄒㄩㄥ3"
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+ "焾": [
+ "ㄋㄧㄢ3"
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+ "焿": [
+ "ㄍㄥ1"
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+ "煀": [
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+ "煁": [
+ "ㄔㄣ2"
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+ "煂": [
+ "ㄏㄜ4"
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+ "煃": [
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+ "煄": [
+ "ㄓㄨㄥ3"
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+ "煅": [
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+ "煆": [
+ "ㄒㄧㄚ1",
+ "ㄒㄧㄚ4"
+ ],
+ "煇": [
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+ "ㄏㄨㄣ2",
+ "ㄩㄣ4",
+ "ㄒㄩㄣ1",
+ "ㄒㄩㄢ4"
+ ],
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+ "ㄈㄥ4"
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+ "煉": [
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+ "ㄌㄢ4"
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+ "煊": [
+ "ㄒㄩㄢ1"
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+ "煋": [
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+ "煍": [
+ "ㄐㄧㄠ3"
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+ "煎": [
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+ "ㄐㄧㄢ4",
+ "ㄐㄧㄢ3"
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+ "煏": [
+ "ㄅㄧ4"
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+ "煐": [
+ "ㄧㄥ1"
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+ "ㄓㄨ3"
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+ "煒": [
+ "ㄨㄟ3",
+ "ㄏㄨㄟ1"
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+ "煓": [
+ "ㄊㄨㄢ1"
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+ "煔": [
+ "ㄕㄢ3",
+ "ㄑㄧㄢ2",
+ "ㄕㄢ1"
+ ],
+ "煕": [
+ "ㄒㄧ1"
+ ],
+ "煖": [
+ "ㄋㄨㄢ3",
+ "ㄒㄩㄢ1"
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+ "煗": [
+ "ㄋㄨㄢ3"
+ ],
+ "煘": [
+ "ㄔㄢ2"
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+ "煙": [
+ "ㄧㄢ1"
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+ "煚": [
+ "ㄐㄩㄥ3"
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+ "煛": [
+ "ㄐㄩㄥ3"
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+ "煜": [
+ "ㄩ4"
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+ "煝": [
+ "ㄇㄟ4"
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+ "煞": [
+ "ㄕㄚ1",
+ "ㄕㄚ4"
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+ "煟": [
+ "ㄨㄟ4"
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+ "煠": [
+ "ㄓㄚ2",
+ "ㄧㄝ4"
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+ "煡": [
+ "ㄐㄧㄣ4"
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+ "煢": [
+ "ㄑㄩㄥ2"
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+ "煣": [
+ "ㄖㄡ2",
+ "ㄖㄡ3"
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+ "煤": [
+ "ㄇㄟ2"
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+ "煥": [
+ "ㄏㄨㄢ4"
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+ "煦": [
+ "ㄒㄩ4",
+ "ㄒㄧㄡ1"
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+ "照": [
+ "ㄓㄠ4"
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+ "ㄨㄟ1",
+ "ㄩ4"
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+ "ㄧㄤ2",
+ "ㄧㄤ4"
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+ "煭": [
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+ "ㄓㄨ3"
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+ "煯": [
+ "ㄐㄧㄝ1"
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+ "ㄗㄠ4"
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+ "煱": [
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+ "煲": [
+ "ㄅㄠ1"
+ ],
+ "煳": [
+ "ㄏㄨ2"
+ ],
+ "煴": [
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+ "ㄩㄣ4",
+ "ㄨㄣ3"
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+ "煵": [
+ "ㄋㄢ3"
+ ],
+ "煶": [
+ "ㄕ4"
+ ],
+ "煷": [
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+ "煸": [
+ "ㄅㄧㄢ1"
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+ "ㄍㄡ4"
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+ "煺": [
+ "ㄊㄨㄟ4"
+ ],
+ "煻": [
+ "ㄊㄤ2"
+ ],
+ "煼": [
+ "ㄔㄠ3"
+ ],
+ "煽": [
+ "ㄕㄢ1"
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+ "煾": [
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+ "ㄩㄣ1"
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+ ],
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+ "ㄧㄝ4"
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+ "熁": [
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+ "ㄒㄧ4"
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+ "熃": [
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+ "熄": [
+ "ㄒㄧ1"
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+ "熅": [
+ "ㄩㄣ4"
+ ],
+ "熆": [
+ "ㄏㄜ2"
+ ],
+ "熇": [
+ "ㄏㄜ4",
+ "ㄒㄧㄠ1",
+ "ㄎㄠ3",
+ "ㄎㄠ4"
+ ],
+ "熈": [
+ "ㄒㄧ1"
+ ],
+ "熉": [
+ "ㄩㄣ2"
+ ],
+ "熊": [
+ "ㄒㄩㄥ2"
+ ],
+ "熋": [
+ "ㄋㄞ2"
+ ],
+ "熌": [
+ "ㄕㄢ3"
+ ],
+ "熍": [
+ "ㄑㄩㄥ2"
+ ],
+ "熎": [
+ "ㄧㄠ4"
+ ],
+ "熏": [
+ "ㄒㄩㄣ1",
+ "ㄒㄩㄣ4"
+ ],
+ "熐": [
+ "ㄇㄧ4"
+ ],
+ "熑": [
+ "ㄌㄧㄢ2",
+ "ㄑㄧㄢ1"
+ ],
+ "熒": [
+ "ㄧㄥ2",
+ "ㄒㄧㄥ2",
+ "ㄐㄩㄥ3"
+ ],
+ "熓": [
+ "ㄨ3"
+ ],
+ "熔": [
+ "ㄖㄨㄥ2"
+ ],
+ "熕": [
+ "ㄍㄨㄥ1"
+ ],
+ "熖": [
+ "ㄧㄢ4"
+ ],
+ "熗": [
+ "ㄑㄧㄤ4"
+ ],
+ "熘": [
+ "ㄌㄧㄡ1"
+ ],
+ "熙": [
+ "ㄒㄧ1",
+ "ㄧ2"
+ ],
+ "熚": [
+ "ㄅㄧ4"
+ ],
+ "熛": [
+ "ㄅㄧㄠ1"
+ ],
+ "熜": [
+ "ㄘㄨㄥ1",
+ "ㄗㄨㄥ3"
+ ],
+ "熝": [
+ "ㄌㄨ4",
+ "ㄠ1"
+ ],
+ "熞": [
+ "ㄐㄧㄢ1"
+ ],
+ "熟": [
+ "ㄕㄨ2",
+ "ㄕㄡ2"
+ ],
+ "熠": [
+ "ㄧ4"
+ ],
+ "熡": [
+ "ㄌㄡ2"
+ ],
+ "熢": [
+ "ㄆㄥ2",
+ "ㄅㄥ4",
+ "ㄈㄥ1"
+ ],
+ "熣": [
+ "ㄙㄨㄟ1",
+ "ㄘㄨㄟ3"
+ ],
+ "熤": [
+ "ㄧ4"
+ ],
+ "熥": [
+ "ㄊㄥ1",
+ "ㄊㄨㄥ1"
+ ],
+ "熦": [
+ "ㄐㄩㄝ2"
+ ],
+ "熧": [
+ "ㄗㄨㄥ1"
+ ],
+ "熨": [
+ "ㄩㄣ4",
+ "ㄩ4",
+ "ㄨㄟ4"
+ ],
+ "熩": [
+ "ㄏㄨ4"
+ ],
+ "熪": [
+ "ㄧ2"
+ ],
+ "熫": [
+ "ㄓ4"
+ ],
+ "熬": [
+ "ㄠ2",
+ "ㄠ1"
+ ],
+ "熭": [
+ "ㄨㄟ4"
+ ],
+ "熮": [
+ "ㄌㄧㄡ3"
+ ],
+ "熯": [
+ "ㄏㄢ4",
+ "ㄖㄢ3"
+ ],
+ "熰": [
+ "ㄡ1",
+ "ㄡ4"
+ ],
+ "熱": [
+ "ㄖㄜ4"
+ ],
+ "熲": [
+ "ㄐㄩㄥ3"
+ ],
+ "熳": [
+ "ㄇㄢ4"
+ ],
+ "熴": [
+ "ㄎㄨㄣ1"
+ ],
+ "熵": [
+ "ㄕㄤ1"
+ ],
+ "熶": [
+ "ㄘㄨㄢ4"
+ ],
+ "熷": [
+ "ㄗㄥ1"
+ ],
+ "熸": [
+ "ㄐㄧㄢ1"
+ ],
+ "熹": [
+ "ㄒㄧ1"
+ ],
+ "熺": [
+ "ㄒㄧ1"
+ ],
+ "熻": [
+ "ㄒㄧ1"
+ ],
+ "熼": [
+ "ㄧ4"
+ ],
+ "熽": [
+ "ㄒㄧㄠ4"
+ ],
+ "熾": [
+ "ㄔ4"
+ ],
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+ "ㄏㄨㄤ2",
+ "ㄏㄨㄤ3"
+ ],
+ "燀": [
+ "ㄔㄢ3",
+ "ㄉㄢ3",
+ "ㄔㄢ4"
+ ],
+ "燁": [
+ "ㄧㄝ4"
+ ],
+ "燂": [
+ "ㄊㄢ2",
+ "ㄒㄩㄣ2",
+ "ㄑㄧㄢ2"
+ ],
+ "燃": [
+ "ㄖㄢ2"
+ ],
+ "燄": [
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+ "燅": [
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+ ],
+ "燆": [
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+ "ㄒㄧㄠ1"
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+ "燇": [
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+ "燈": [
+ "ㄉㄥ1"
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+ "ㄊㄨㄣ2",
+ "ㄉㄨㄣ1"
+ ],
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+ "ㄕㄣ1"
+ ],
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+ "ㄑㄧㄠ2",
+ "ㄐㄩㄝ2",
+ "ㄓㄨㄛ2"
+ ],
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+ "ㄅㄣ4"
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+ "燍": [
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+ "ㄒㄧ1"
+ ],
+ "燎": [
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+ "ㄌㄧㄠ3",
+ "ㄌㄧㄠ4"
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+ "燏": [
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+ ],
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+ "ㄌㄧㄣ2"
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+ "燑": [
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+ "燒": [
+ "ㄕㄠ1",
+ "ㄕㄠ4"
+ ],
+ "燓": [
+ "ㄈㄣ2"
+ ],
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+ "ㄈㄢ2",
+ "ㄈㄣ2"
+ ],
+ "燕": [
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+ "ㄧㄢ1"
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+ "燖": [
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+ "ㄑㄧㄢ2"
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+ "燗": [
+ "ㄌㄢ4"
+ ],
+ "燘": [
+ "ㄇㄟ3"
+ ],
+ "燙": [
+ "ㄊㄤ4",
+ "ㄉㄤ4"
+ ],
+ "燚": [
+ "ㄧ4"
+ ],
+ "燛": [
+ "ㄐㄩㄥ3"
+ ],
+ "燜": [
+ "ㄇㄣ4"
+ ],
+ "燝": [
+ "ㄐㄧㄥ5"
+ ],
+ "燞": [
+ "ㄐㄧㄠ3"
+ ],
+ "營": [
+ "ㄧㄥ2",
+ "ㄘㄨㄛ1"
+ ],
+ "燠": [
+ "ㄩ4",
+ "ㄠ4"
+ ],
+ "燡": [
+ "ㄧ4"
+ ],
+ "燢": [
+ "ㄒㄩㄝ2"
+ ],
+ "燣": [
+ "ㄌㄢ2"
+ ],
+ "燤": [
+ "ㄊㄞ4",
+ "ㄌㄧㄝ4"
+ ],
+ "燥": [
+ "ㄗㄠ4",
+ "ㄙㄠ4"
+ ],
+ "燦": [
+ "ㄘㄢ4"
+ ],
+ "燧": [
+ "ㄙㄨㄟ4"
+ ],
+ "燨": [
+ "ㄒㄧ1"
+ ],
+ "燩": [
+ "ㄑㄩㄝ4"
+ ],
+ "燪": [
+ "ㄗㄨㄥ3"
+ ],
+ "燫": [
+ "ㄌㄧㄢ2"
+ ],
+ "燬": [
+ "ㄏㄨㄟ3"
+ ],
+ "燭": [
+ "ㄓㄨ2",
+ "ㄎㄨㄛ4"
+ ],
+ "燮": [
+ "ㄒㄧㄝ4"
+ ],
+ "燯": [
+ "ㄌㄧㄥ2"
+ ],
+ "燰": [
+ "ㄨㄟ1"
+ ],
+ "燱": [
+ "ㄧ4"
+ ],
+ "燲": [
+ "ㄒㄧㄝ2"
+ ],
+ "燳": [
+ "ㄓㄠ4"
+ ],
+ "燴": [
+ "ㄏㄨㄟ4"
+ ],
+ "燵": [
+ "ㄉㄚ2"
+ ],
+ "燶": [
+ "ㄋㄨㄥ2"
+ ],
+ "燷": [
+ "ㄌㄢ2"
+ ],
+ "燸": [
+ "ㄖㄨ2",
+ "ㄖㄨㄢ3"
+ ],
+ "燹": [
+ "ㄒㄧㄢ3",
+ "ㄅㄧㄥ4"
+ ],
+ "燺": [
+ "ㄏㄜ4"
+ ],
+ "燻": [
+ "ㄒㄩㄣ1"
+ ],
+ "燼": [
+ "ㄐㄧㄣ4"
+ ],
+ "燽": [
+ "ㄔㄡ2"
+ ],
+ "燾": [
+ "ㄉㄠ4",
+ "ㄊㄠ1"
+ ],
+ "燿": [
+ "ㄧㄠ4",
+ "ㄕㄨㄛ4",
+ "ㄕㄠ4"
+ ],
+ "爀": [
+ "ㄏㄜ4"
+ ],
+ "爁": [
+ "ㄌㄢ4"
+ ],
+ "爂": [
+ "ㄅㄧㄠ1"
+ ],
+ "爃": [
+ "ㄖㄨㄥ2"
+ ],
+ "爄": [
+ "ㄌㄧ4",
+ "ㄌㄧㄝ4"
+ ],
+ "爅": [
+ "ㄇㄛ4"
+ ],
+ "爆": [
+ "ㄅㄠ4",
+ "ㄅㄛ2"
+ ],
+ "爇": [
+ "ㄖㄨㄛ4"
+ ],
+ "爈": [
+ "ㄌㄩ4"
+ ],
+ "爉": [
+ "ㄌㄚ4",
+ "ㄌㄧㄝ4"
+ ],
+ "爊": [
+ "ㄠ1"
+ ],
+ "爋": [
+ "ㄒㄩㄣ1"
+ ],
+ "爌": [
+ "ㄎㄨㄤ4",
+ "ㄏㄨㄤ3",
+ "ㄎㄨㄤ3"
+ ],
+ "爍": [
+ "ㄕㄨㄛ4",
+ "ㄌㄨㄛ4",
+ "ㄩㄝ4"
+ ],
+ "爎": [
+ "ㄌㄧㄠ2"
+ ],
+ "爏": [
+ "ㄌㄧ4"
+ ],
+ "爐": [
+ "ㄌㄨ2"
+ ],
+ "爑": [
+ "ㄐㄩㄝ2"
+ ],
+ "爒": [
+ "ㄌㄧㄠ3"
+ ],
+ "爓": [
+ "ㄧㄢ4",
+ "ㄒㄩㄣ2"
+ ],
+ "爔": [
+ "ㄒㄧ1"
+ ],
+ "爕": [
+ "ㄒㄧㄝ4"
+ ],
+ "爖": [
+ "ㄌㄨㄥ2"
+ ],
+ "爗": [
+ "ㄧㄝ4"
+ ],
+ "爘": [
+ "ㄘㄢ1"
+ ],
+ "爙": [
+ "ㄖㄤ3"
+ ],
+ "爚": [
+ "ㄩㄝ4"
+ ],
+ "爛": [
+ "ㄌㄢ4"
+ ],
+ "爜": [
+ "ㄘㄨㄥ2"
+ ],
+ "爝": [
+ "ㄐㄩㄝ2",
+ "ㄐㄧㄠ4"
+ ],
+ "爞": [
+ "ㄔㄨㄥ2",
+ "ㄊㄨㄥ2"
+ ],
+ "爟": [
+ "ㄍㄨㄢ4"
+ ],
+ "爠": [
+ "ㄐㄩ5"
+ ],
+ "爡": [
+ "ㄔㄜ4"
+ ],
+ "爢": [
+ "ㄇㄧ2"
+ ],
+ "爣": [
+ "ㄊㄤ3"
+ ],
+ "爤": [
+ "ㄌㄢ4"
+ ],
+ "爥": [
+ "ㄓㄨ2"
+ ],
+ "爦": [
+ "ㄌㄢ3"
+ ],
+ "爧": [
+ "ㄌㄧㄥ2"
+ ],
+ "爨": [
+ "ㄘㄨㄢ4"
+ ],
+ "爩": [
+ "ㄩ4"
+ ],
+ "爪": [
+ "ㄓㄠ3",
+ "ㄓㄨㄚ3"
+ ],
+ "爫": [
+ "ㄓㄠ3"
+ ],
+ "爬": [
+ "ㄆㄚ2"
+ ],
+ "爭": [
+ "ㄓㄥ1",
+ "ㄓㄥ4"
+ ],
+ "爮": [
+ "ㄆㄠ2"
+ ],
+ "爯": [
+ "ㄔㄥ1",
+ "ㄔㄥ4"
+ ],
+ "爰": [
+ "ㄩㄢ2"
+ ],
+ "爱": [
+ "ㄞ4"
+ ],
+ "爲": [
+ "ㄨㄟ4",
+ "ㄨㄟ2"
+ ],
+ "爳": [
+ "ㄏㄢ5"
+ ],
+ "爴": [
+ "ㄐㄩㄝ2"
+ ],
+ "爵": [
+ "ㄐㄩㄝ2"
+ ],
+ "父": [
+ "ㄈㄨ4",
+ "ㄈㄨ3"
+ ],
+ "爷": [
+ "ㄧㄝ2"
+ ],
+ "爸": [
+ "ㄅㄚ4"
+ ],
+ "爹": [
+ "ㄉㄧㄝ1"
+ ],
+ "爺": [
+ "ㄧㄝ2"
+ ],
+ "爻": [
+ "ㄧㄠ2",
+ "ㄒㄧㄠ4"
+ ],
+ "爼": [
+ "ㄗㄨ3"
+ ],
+ "爽": [
+ "ㄕㄨㄤ3",
+ "ㄕㄨㄤ1"
+ ],
+ "爾": [
+ "ㄦ3",
+ "ㄇㄧ3",
+ "ㄋㄧ3"
+ ],
+ "爿": [
+ "ㄆㄢ2",
+ "ㄑㄧㄤ2"
+ ],
+ "牀": [
+ "ㄔㄨㄤ2"
+ ],
+ "牁": [
+ "ㄎㄜ1"
+ ],
+ "牂": [
+ "ㄗㄤ1"
+ ],
+ "牃": [
+ "ㄉㄧㄝ2"
+ ],
+ "牄": [
+ "ㄑㄧㄤ1"
+ ],
+ "牅": [
+ "ㄩㄥ1"
+ ],
+ "牆": [
+ "ㄑㄧㄤ2"
+ ],
+ "片": [
+ "ㄆㄧㄢ4",
+ "ㄆㄧㄢ1",
+ "ㄆㄢ4"
+ ],
+ "版": [
+ "ㄅㄢ3"
+ ],
+ "牉": [
+ "ㄆㄢ4"
+ ],
+ "牊": [
+ "ㄔㄠ2"
+ ],
+ "牋": [
+ "ㄐㄧㄢ1"
+ ],
+ "牌": [
+ "ㄆㄞ2"
+ ],
+ "牍": [
+ "ㄉㄨ2"
+ ],
+ "牎": [
+ "ㄔㄨㄤ1"
+ ],
+ "牏": [
+ "ㄩ2"
+ ],
+ "牐": [
+ "ㄓㄚ2"
+ ],
+ "牑": [
+ "ㄅㄧㄢ1",
+ "ㄇㄧㄢ4"
+ ],
+ "牒": [
+ "ㄉㄧㄝ2"
+ ],
+ "牓": [
+ "ㄅㄤ3",
+ "ㄆㄤ1"
+ ],
+ "牔": [
+ "ㄅㄛ2"
+ ],
+ "牕": [
+ "ㄔㄨㄤ1"
+ ],
+ "牖": [
+ "ㄧㄡ3"
+ ],
+ "牗": [
+ "ㄧㄡ3"
+ ],
+ "牘": [
+ "ㄉㄨ2"
+ ],
+ "牙": [
+ "ㄧㄚ2",
+ "ㄧㄚ4"
+ ],
+ "牚": [
+ "ㄔㄥ1",
+ "ㄔㄥ4"
+ ],
+ "牛": [
+ "ㄋㄧㄡ2"
+ ],
+ "牜": [
+ "ㄋㄧㄡ2"
+ ],
+ "牝": [
+ "ㄆㄧㄣ4"
+ ],
+ "牞": [
+ "ㄐㄧㄡ1",
+ "ㄌㄜ4"
+ ],
+ "牟": [
+ "ㄇㄡ2",
+ "ㄇㄨ4",
+ "ㄇㄠ4"
+ ],
+ "牠": [
+ "ㄊㄚ1",
+ "ㄊㄨㄛ2"
+ ],
+ "牡": [
+ "ㄇㄨ3"
+ ],
+ "牢": [
+ "ㄌㄠ2",
+ "ㄌㄠ4",
+ "ㄌㄡ2"
+ ],
+ "牣": [
+ "ㄖㄣ4"
+ ],
+ "牤": [
+ "ㄇㄤ1"
+ ],
+ "牥": [
+ "ㄈㄤ1"
+ ],
+ "牦": [
+ "ㄇㄠ2"
+ ],
+ "牧": [
+ "ㄇㄨ4"
+ ],
+ "牨": [
+ "ㄍㄤ1"
+ ],
+ "物": [
+ "ㄨ4"
+ ],
+ "牪": [
+ "ㄧㄢ4"
+ ],
+ "牫": [
+ "ㄍㄜ1",
+ "ㄑㄧㄡ2",
+ "ㄗㄤ1"
+ ],
+ "牬": [
+ "ㄅㄟ4"
+ ],
+ "牭": [
+ "ㄙ4"
+ ],
+ "牮": [
+ "ㄐㄧㄢ4"
+ ],
+ "牯": [
+ "ㄍㄨ3"
+ ],
+ "牰": [
+ "ㄧㄡ4",
+ "ㄔㄡ1"
+ ],
+ "牱": [
+ "ㄍㄜ1"
+ ],
+ "牲": [
+ "ㄕㄥ1"
+ ],
+ "牳": [
+ "ㄇㄨ3"
+ ],
+ "牴": [
+ "ㄉㄧ3",
+ "ㄉㄧ1",
+ "ㄓㄞ1"
+ ],
+ "牵": [
+ "ㄑㄧㄢ1"
+ ],
+ "牶": [
+ "ㄑㄩㄢ4"
+ ],
+ "牷": [
+ "ㄑㄩㄢ2"
+ ],
+ "牸": [
+ "ㄗ4"
+ ],
+ "特": [
+ "ㄊㄜ4"
+ ],
+ "牺": [
+ "ㄒㄧ1"
+ ],
+ "牻": [
+ "ㄇㄤ2"
+ ],
+ "牼": [
+ "ㄎㄥ1"
+ ],
+ "牽": [
+ "ㄑㄧㄢ1",
+ "ㄑㄧㄢ4"
+ ],
+ "牾": [
+ "ㄨ3",
+ "ㄨ2"
+ ],
+ "牿": [
+ "ㄍㄨ4"
+ ],
+ "犀": [
+ "ㄒㄧ1"
+ ],
+ "犁": [
+ "ㄌㄧ2"
+ ],
+ "犂": [
+ "ㄌㄧ2"
+ ],
+ "犃": [
+ "ㄆㄡ3"
+ ],
+ "犄": [
+ "ㄐㄧ1",
+ "ㄧ1"
+ ],
+ "犅": [
+ "ㄍㄤ1"
+ ],
+ "犆": [
+ "ㄓ2",
+ "ㄊㄜ4"
+ ],
+ "犇": [
+ "ㄅㄣ1"
+ ],
+ "犈": [
+ "ㄑㄩㄢ2"
+ ],
+ "犉": [
+ "ㄔㄨㄣ2"
+ ],
+ "犊": [
+ "ㄉㄨ2"
+ ],
+ "犋": [
+ "ㄐㄩ4"
+ ],
+ "犌": [
+ "ㄐㄧㄚ1"
+ ],
+ "犍": [
+ "ㄐㄧㄢ1",
+ "ㄑㄧㄢ2",
+ "ㄐㄧㄢ3"
+ ],
+ "犎": [
+ "ㄈㄥ1"
+ ],
+ "犏": [
+ "ㄆㄧㄢ1"
+ ],
+ "犐": [
+ "ㄎㄜ1"
+ ],
+ "犑": [
+ "ㄐㄩ2"
+ ],
+ "犒": [
+ "ㄎㄠ4"
+ ],
+ "犓": [
+ "ㄔㄨ2"
+ ],
+ "犔": [
+ "ㄒㄧ4"
+ ],
+ "犕": [
+ "ㄅㄟ4"
+ ],
+ "犖": [
+ "ㄌㄨㄛ4"
+ ],
+ "犗": [
+ "ㄐㄧㄝ4"
+ ],
+ "犘": [
+ "ㄇㄚ2"
+ ],
+ "犙": [
+ "ㄙㄢ1"
+ ],
+ "犚": [
+ "ㄨㄟ4"
+ ],
+ "犛": [
+ "ㄇㄠ2",
+ "ㄌㄧ2"
+ ],
+ "犜": [
+ "ㄉㄨㄣ1"
+ ],
+ "犝": [
+ "ㄊㄨㄥ2"
+ ],
+ "犞": [
+ "ㄑㄧㄠ2"
+ ],
+ "犟": [
+ "ㄐㄧㄤ4"
+ ],
+ "犠": [
+ "ㄒㄧ1"
+ ],
+ "犡": [
+ "ㄌㄧ4"
+ ],
+ "犢": [
+ "ㄉㄨ2"
+ ],
+ "犣": [
+ "ㄌㄧㄝ4"
+ ],
+ "犤": [
+ "ㄆㄞ2"
+ ],
+ "犥": [
+ "ㄆㄧㄠ1",
+ "ㄆㄠ4"
+ ],
+ "犦": [
+ "ㄅㄛ2"
+ ],
+ "犧": [
+ "ㄒㄧ1",
+ "ㄙㄨㄛ1"
+ ],
+ "犨": [
+ "ㄔㄡ1"
+ ],
+ "犩": [
+ "ㄨㄟ2"
+ ],
+ "犪": [
+ "ㄎㄨㄟ2",
+ "ㄖㄠ2"
+ ],
+ "犫": [
+ "ㄔㄡ1"
+ ],
+ "犬": [
+ "ㄑㄩㄢ3"
+ ],
+ "犭": [
+ "ㄑㄩㄢ3"
+ ],
+ "犮": [
+ "ㄅㄚ2"
+ ],
+ "犯": [
+ "ㄈㄢ4"
+ ],
+ "犰": [
+ "ㄑㄧㄡ2"
+ ],
+ "犱": [
+ "ㄐㄧ3"
+ ],
+ "犲": [
+ "ㄔㄞ2"
+ ],
+ "犳": [
+ "ㄓㄨㄛ2"
+ ],
+ "犴": [
+ "ㄢ4",
+ "ㄏㄢ1",
+ "ㄢ2",
+ "ㄐㄧㄢ4"
+ ],
+ "犵": [
+ "ㄍㄜ1",
+ "ㄏㄜ2"
+ ],
+ "状": [
+ "ㄓㄨㄤ4"
+ ],
+ "犷": [
+ "ㄍㄨㄤ3"
+ ],
+ "犸": [
+ "ㄇㄚ4",
+ "ㄇㄚ3"
+ ],
+ "犹": [
+ "ㄧㄡ2",
+ "ㄧㄡ4"
+ ],
+ "犺": [
+ "ㄎㄤ4",
+ "ㄍㄤ3"
+ ],
+ "犻": [
+ "ㄅㄛ2",
+ "ㄆㄟ4",
+ "ㄈㄟ4"
+ ],
+ "犼": [
+ "ㄏㄡ3"
+ ],
+ "犽": [
+ "ㄧㄚ4"
+ ],
+ "犾": [
+ "ㄧㄣ2"
+ ],
+ "犿": [
+ "ㄏㄨㄢ1",
+ "ㄈㄢ1"
+ ],
+ "狀": [
+ "ㄓㄨㄤ4"
+ ],
+ "狁": [
+ "ㄩㄣ3"
+ ],
+ "狂": [
+ "ㄎㄨㄤ2",
+ "ㄐㄩㄝ2"
+ ],
+ "狃": [
+ "ㄋㄧㄡ3",
+ "ㄋㄩ4"
+ ],
+ "狄": [
+ "ㄉㄧ2",
+ "ㄊㄧ4"
+ ],
+ "狅": [
+ "ㄎㄨㄤ2"
+ ],
+ "狆": [
+ "ㄓㄨㄥ4"
+ ],
+ "狇": [
+ "ㄇㄨ4"
+ ],
+ "狈": [
+ "ㄅㄟ4"
+ ],
+ "狉": [
+ "ㄆㄧ1"
+ ],
+ "狊": [
+ "ㄐㄩ2"
+ ],
+ "狋": [
+ "ㄧ2",
+ "ㄑㄩㄢ2",
+ "ㄔ2"
+ ],
+ "狌": [
+ "ㄕㄥ1",
+ "ㄒㄧㄥ1"
+ ],
+ "狍": [
+ "ㄆㄠ2"
+ ],
+ "狎": [
+ "ㄒㄧㄚ2"
+ ],
+ "狏": [
+ "ㄊㄨㄛ2",
+ "ㄧ2"
+ ],
+ "狐": [
+ "ㄏㄨ2"
+ ],
+ "狑": [
+ "ㄌㄧㄥ2"
+ ],
+ "狒": [
+ "ㄈㄟ4"
+ ],
+ "狓": [
+ "ㄆㄧ2",
+ "ㄆㄧ1"
+ ],
+ "狔": [
+ "ㄋㄧ3"
+ ],
+ "狕": [
+ "ㄧㄠ3"
+ ],
+ "狖": [
+ "ㄧㄡ4"
+ ],
+ "狗": [
+ "ㄍㄡ3"
+ ],
+ "狘": [
+ "ㄒㄩㄝ4"
+ ],
+ "狙": [
+ "ㄐㄩ1"
+ ],
+ "狚": [
+ "ㄉㄢ4"
+ ],
+ "狛": [
+ "ㄅㄛ2"
+ ],
+ "狜": [
+ "ㄎㄨ3"
+ ],
+ "狝": [
+ "ㄒㄧㄢ3"
+ ],
+ "狞": [
+ "ㄋㄧㄥ2"
+ ],
+ "狟": [
+ "ㄏㄨㄢ2",
+ "ㄒㄩㄢ1",
+ "ㄏㄥ2"
+ ],
+ "狠": [
+ "ㄏㄣ3",
+ "ㄧㄢ2",
+ "ㄎㄣ3",
+ "ㄏㄤ3"
+ ],
+ "狡": [
+ "ㄐㄧㄠ3",
+ "ㄒㄧㄠ4"
+ ],
+ "狢": [
+ "ㄏㄜ2",
+ "ㄇㄛ4"
+ ],
+ "狣": [
+ "ㄓㄠ4"
+ ],
+ "狤": [
+ "ㄐㄧ2",
+ "ㄐㄧㄝ2",
+ "ㄎㄨㄞ4"
+ ],
+ "狥": [
+ "ㄒㄩㄣ4"
+ ],
+ "狦": [
+ "ㄕㄢ1"
+ ],
+ "狧": [
+ "ㄊㄚ4",
+ "ㄕ4"
+ ],
+ "狨": [
+ "ㄖㄨㄥ2"
+ ],
+ "狩": [
+ "ㄕㄡ4"
+ ],
+ "狪": [
+ "ㄊㄨㄥ2",
+ "ㄉㄨㄥ4"
+ ],
+ "狫": [
+ "ㄌㄠ3"
+ ],
+ "独": [
+ "ㄉㄨ2"
+ ],
+ "狭": [
+ "ㄒㄧㄚ2"
+ ],
+ "狮": [
+ "ㄕ1"
+ ],
+ "狯": [
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+ "ㄍㄢ1"
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+ ],
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+ ],
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+ "ㄎㄣ4"
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+ "ㄏㄨㄣ2"
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+ "ㄊㄧㄥ3"
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+ "珺": [
+ "ㄐㄩㄣ4"
+ ],
+ "珻": [
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+ "珽": [
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+ ],
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+ ],
+ "琁": [
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+ "ㄑㄩㄥ2"
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+ "ㄧㄢ2"
+ ],
+ "球": [
+ "ㄑㄧㄡ2"
+ ],
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+ "ㄈㄨ1",
+ "ㄆㄨ3"
+ ],
+ "甬": [
+ "ㄩㄥ3",
+ "ㄉㄨㄥ4"
+ ],
+ "甭": [
+ "ㄅㄥ2",
+ "ㄑㄧ4"
+ ],
+ "甮": [
+ "ㄈㄥ4"
+ ],
+ "甯": [
+ "ㄋㄧㄥ2",
+ "ㄋㄧㄥ4"
+ ],
+ "田": [
+ "ㄊㄧㄢ2"
+ ],
+ "由": [
+ "ㄧㄡ2",
+ "ㄧㄠ1"
+ ],
+ "甲": [
+ "ㄐㄧㄚ3"
+ ],
+ "申": [
+ "ㄕㄣ1"
+ ],
+ "甴": [
+ "ㄓㄚ2",
+ "ㄧㄡ2"
+ ],
+ "电": [
+ "ㄉㄧㄢ4"
+ ],
+ "甶": [
+ "ㄈㄨ2"
+ ],
+ "男": [
+ "ㄋㄢ2"
+ ],
+ "甸": [
+ "ㄉㄧㄢ1",
+ "ㄉㄧㄢ4",
+ "ㄊㄧㄢ2",
+ "ㄕㄥ4",
+ "ㄧㄥ4"
+ ],
+ "甹": [
+ "ㄆㄧㄥ1"
+ ],
+ "町": [
+ "ㄊㄧㄥ1",
+ "ㄉㄧㄥ1",
+ "ㄊㄧㄥ3",
+ "ㄓㄥ4",
+ "ㄊㄧㄢ3"
+ ],
+ "画": [
+ "ㄏㄨㄚ4"
+ ],
+ "甼": [
+ "ㄊㄧㄥ3"
+ ],
+ "甽": [
+ "ㄓㄣ4",
+ "ㄑㄩㄢ3",
+ "ㄓㄨㄣ4"
+ ],
+ "甾": [
+ "ㄗㄞ1",
+ "ㄗ1"
+ ],
+ "甿": [
+ "ㄇㄥ2",
+ "ㄇㄤ2"
+ ],
+ "畀": [
+ "ㄅㄧ4"
+ ],
+ "畁": [
+ "ㄅㄧ4"
+ ],
+ "畂": [
+ "ㄌㄧㄡ4"
+ ],
+ "畃": [
+ "ㄒㄩㄣ2"
+ ],
+ "畄": [
+ "ㄌㄧㄡ2"
+ ],
+ "畅": [
+ "ㄔㄤ4"
+ ],
+ "畆": [
+ "ㄇㄨ3"
+ ],
+ "畇": [
+ "ㄩㄣ2",
+ "ㄊㄧㄢ2"
+ ],
+ "畈": [
+ "ㄈㄢ4"
+ ],
+ "畉": [
+ "ㄈㄨ2"
+ ],
+ "畊": [
+ "ㄍㄥ1"
+ ],
+ "畋": [
+ "ㄊㄧㄢ2"
+ ],
+ "界": [
+ "ㄐㄧㄝ4"
+ ],
+ "畍": [
+ "ㄐㄧㄝ4"
+ ],
+ "畎": [
+ "ㄑㄩㄢ3"
+ ],
+ "畏": [
+ "ㄨㄟ4",
+ "ㄨㄟ1",
+ "ㄨㄟ3"
+ ],
+ "畐": [
+ "ㄈㄨ2",
+ "ㄅㄧ4"
+ ],
+ "畑": [
+ "ㄊㄧㄢ2"
+ ],
+ "畒": [
+ "ㄇㄨ3"
+ ],
+ "畓": [
+ "ㄉㄨㄛ1"
+ ],
+ "畔": [
+ "ㄆㄢ4"
+ ],
+ "畕": [
+ "ㄐㄧㄤ1"
+ ],
+ "畖": [
+ "ㄨㄚ1"
+ ],
+ "畗": [
+ "ㄉㄚ2",
+ "ㄈㄨ2"
+ ],
+ "畘": [
+ "ㄋㄢ2"
+ ],
+ "留": [
+ "ㄌㄧㄡ2",
+ "ㄌㄧㄡ4",
+ "ㄌㄧㄡ3"
+ ],
+ "畚": [
+ "ㄅㄣ3"
+ ],
+ "畛": [
+ "ㄓㄣ3"
+ ],
+ "畜": [
+ "ㄔㄨ4",
+ "ㄒㄩ4"
+ ],
+ "畝": [
+ "ㄇㄨ3",
+ "ㄇㄡ3"
+ ],
+ "畞": [
+ "ㄇㄨ3"
+ ],
+ "畟": [
+ "ㄘㄜ4",
+ "ㄐㄧ4"
+ ],
+ "畠": [
+ "ㄊㄧㄢ2"
+ ],
+ "畡": [
+ "ㄍㄞ1"
+ ],
+ "畢": [
+ "ㄅㄧ4"
+ ],
+ "畣": [
+ "ㄉㄚ2"
+ ],
+ "畤": [
+ "ㄓ4",
+ "ㄔㄡ2",
+ "ㄕ4"
+ ],
+ "略": [
+ "ㄌㄩㄝ4"
+ ],
+ "畦": [
+ "ㄑㄧ2"
+ ],
+ "畧": [
+ "ㄌㄩㄝ4"
+ ],
+ "畨": [
+ "ㄆㄢ1",
+ "ㄈㄢ1"
+ ],
+ "畩": [
+ "ㄧ1"
+ ],
+ "番": [
+ "ㄈㄢ1",
+ "ㄆㄢ1",
+ "ㄈㄢ2",
+ "ㄅㄛ1",
+ "ㄆㄛ2",
+ "ㄆㄢ2",
+ "ㄆㄢ4",
+ "ㄆㄧ2"
+ ],
+ "畫": [
+ "ㄏㄨㄚ4"
+ ],
+ "畬": [
+ "ㄕㄜ1",
+ "ㄩ2"
+ ],
+ "畭": [
+ "ㄩ2"
+ ],
+ "畮": [
+ "ㄇㄨ3"
+ ],
+ "畯": [
+ "ㄐㄩㄣ4"
+ ],
+ "異": [
+ "ㄧ4"
+ ],
+ "畱": [
+ "ㄌㄧㄡ2"
+ ],
+ "畲": [
+ "ㄕㄜ1"
+ ],
+ "畳": [
+ "ㄉㄧㄝ2"
+ ],
+ "畴": [
+ "ㄔㄡ2"
+ ],
+ "畵": [
+ "ㄏㄨㄚ4"
+ ],
+ "當": [
+ "ㄉㄤ1",
+ "ㄉㄤ4",
+ "ㄉㄤ5"
+ ],
+ "畷": [
+ "ㄓㄨㄟ4"
+ ],
+ "畸": [
+ "ㄐㄧ1",
+ "ㄑㄧ2"
+ ],
+ "畹": [
+ "ㄨㄢ3",
+ "ㄩㄢ3"
+ ],
+ "畺": [
+ "ㄐㄧㄤ1",
+ "ㄐㄧㄤ4"
+ ],
+ "畻": [
+ "ㄔㄥ2"
+ ],
+ "畼": [
+ "ㄔㄤ4"
+ ],
+ "畽": [
+ "ㄊㄨㄣ3",
+ "ㄊㄨㄢ3"
+ ],
+ "畾": [
+ "ㄌㄟ2"
+ ],
+ "畿": [
+ "ㄐㄧ1"
+ ],
+ "疀": [
+ "ㄔㄚ1"
+ ],
+ "疁": [
+ "ㄌㄧㄡ2"
+ ],
+ "疂": [
+ "ㄉㄧㄝ2"
+ ],
+ "疃": [
+ "ㄊㄨㄢ3"
+ ],
+ "疄": [
+ "ㄌㄧㄣ4",
+ "ㄌㄧㄣ2"
+ ],
+ "疅": [
+ "ㄐㄧㄤ1"
+ ],
+ "疆": [
+ "ㄐㄧㄤ1",
+ "ㄐㄧㄤ4"
+ ],
+ "疇": [
+ "ㄔㄡ2"
+ ],
+ "疈": [
+ "ㄆㄧ4"
+ ],
+ "疉": [
+ "ㄉㄧㄝ2"
+ ],
+ "疊": [
+ "ㄉㄧㄝ2"
+ ],
+ "疋": [
+ "ㄆㄧ3",
+ "ㄕㄨ1",
+ "ㄧㄚ3"
+ ],
+ "疌": [
+ "ㄐㄧㄝ2",
+ "ㄑㄧㄝ4"
+ ],
+ "疍": [
+ "ㄉㄢ4"
+ ],
+ "疎": [
+ "ㄕㄨ1"
+ ],
+ "疏": [
+ "ㄕㄨ1"
+ ],
+ "疐": [
+ "ㄓ4",
+ "ㄉㄧ4"
+ ],
+ "疑": [
+ "ㄧ2",
+ "ㄋㄧㄥ2"
+ ],
+ "疒": [
+ "ㄋㄜ4"
+ ],
+ "疓": [
+ "ㄋㄞ3"
+ ],
+ "疔": [
+ "ㄉㄧㄥ1",
+ "ㄋㄜ4"
+ ],
+ "疕": [
+ "ㄅㄧ3"
+ ],
+ "疖": [
+ "ㄐㄧㄝ1"
+ ],
+ "疗": [
+ "ㄌㄧㄠ2"
+ ],
+ "疘": [
+ "ㄍㄤ1",
+ "ㄍㄨㄥ1"
+ ],
+ "疙": [
+ "ㄍㄜ1",
+ "ㄧ4"
+ ],
+ "疚": [
+ "ㄐㄧㄡ4"
+ ],
+ "疛": [
+ "ㄓㄡ3"
+ ],
+ "疜": [
+ "ㄒㄧㄚ4"
+ ],
+ "疝": [
+ "ㄕㄢ4"
+ ],
+ "疞": [
+ "ㄒㄩ1"
+ ],
+ "疟": [
+ "ㄋㄩㄝ4",
+ "ㄧㄠ4"
+ ],
+ "疠": [
+ "ㄌㄧ4"
+ ],
+ "疡": [
+ "ㄧㄤ2"
+ ],
+ "疢": [
+ "ㄔㄣ4"
+ ],
+ "疣": [
+ "ㄧㄡ2",
+ "ㄧㄡ4"
+ ],
+ "疤": [
+ "ㄅㄚ1"
+ ],
+ "疥": [
+ "ㄐㄧㄝ4"
+ ],
+ "疦": [
+ "ㄐㄩㄝ2",
+ "ㄒㄩㄝ4"
+ ],
+ "疧": [
+ "ㄑㄧ2"
+ ],
+ "疨": [
+ "ㄒㄧㄚ1",
+ "ㄧㄚ2"
+ ],
+ "疩": [
+ "ㄘㄨㄟ4"
+ ],
+ "疪": [
+ "ㄅㄧ4"
+ ],
+ "疫": [
+ "ㄧ4"
+ ],
+ "疬": [
+ "ㄌㄧ4"
+ ],
+ "疭": [
+ "ㄗㄨㄥ4"
+ ],
+ "疮": [
+ "ㄔㄨㄤ1"
+ ],
+ "疯": [
+ "ㄈㄥ1"
+ ],
+ "疰": [
+ "ㄓㄨ4"
+ ],
+ "疱": [
+ "ㄆㄠ4"
+ ],
+ "疲": [
+ "ㄆㄧ2"
+ ],
+ "疳": [
+ "ㄍㄢ1"
+ ],
+ "疴": [
+ "ㄎㄜ1",
+ "ㄜ1",
+ "ㄑㄧㄚ4"
+ ],
+ "疵": [
+ "ㄘ1",
+ "ㄗ1",
+ "ㄓㄞ4",
+ "ㄐㄧ4"
+ ],
+ "疶": [
+ "ㄒㄩㄝ1"
+ ],
+ "疷": [
+ "ㄓ1"
+ ],
+ "疸": [
+ "ㄉㄢ3",
+ "ㄉㄚ5"
+ ],
+ "疹": [
+ "ㄓㄣ3",
+ "ㄔㄣ4"
+ ],
+ "疺": [
+ "ㄈㄚ2",
+ "ㄅㄧㄢ3"
+ ],
+ "疻": [
+ "ㄓ3"
+ ],
+ "疼": [
+ "ㄊㄥ2"
+ ],
+ "疽": [
+ "ㄐㄩ1",
+ "ㄐㄩ3"
+ ],
+ "疾": [
+ "ㄐㄧ2"
+ ],
+ "疿": [
+ "ㄈㄟ4"
+ ],
+ "痀": [
+ "ㄐㄩ1",
+ "ㄍㄡ1"
+ ],
+ "痁": [
+ "ㄕㄢ1"
+ ],
+ "痂": [
+ "ㄐㄧㄚ1"
+ ],
+ "痃": [
+ "ㄒㄩㄢ2"
+ ],
+ "痄": [
+ "ㄓㄚ4"
+ ],
+ "病": [
+ "ㄅㄧㄥ4"
+ ],
+ "痆": [
+ "ㄋㄧㄝ4",
+ "ㄋㄧ4",
+ "ㄋㄧㄢ3"
+ ],
+ "症": [
+ "ㄓㄥ4",
+ "ㄓㄥ1"
+ ],
+ "痈": [
+ "ㄩㄥ1"
+ ],
+ "痉": [
+ "ㄐㄧㄥ4"
+ ],
+ "痊": [
+ "ㄑㄩㄢ2"
+ ],
+ "痋": [
+ "ㄊㄥ2",
+ "ㄔㄨㄥ2"
+ ],
+ "痌": [
+ "ㄊㄨㄥ1",
+ "ㄊㄨㄥ2"
+ ],
+ "痍": [
+ "ㄧ2"
+ ],
+ "痎": [
+ "ㄐㄧㄝ1"
+ ],
+ "痏": [
+ "ㄨㄟ3",
+ "ㄧㄡ4",
+ "ㄩ4"
+ ],
+ "痐": [
+ "ㄏㄨㄟ2"
+ ],
+ "痑": [
+ "ㄊㄢ1",
+ "ㄕ3"
+ ],
+ "痒": [
+ "ㄧㄤ3",
+ "ㄧㄤ2"
+ ],
+ "痓": [
+ "ㄔ4"
+ ],
+ "痔": [
+ "ㄓ4"
+ ],
+ "痕": [
+ "ㄏㄣ2",
+ "ㄍㄣ4"
+ ],
+ "痖": [
+ "ㄧㄚ3"
+ ],
+ "痗": [
+ "ㄇㄟ4"
+ ],
+ "痘": [
+ "ㄉㄡ4"
+ ],
+ "痙": [
+ "ㄐㄧㄥ4"
+ ],
+ "痚": [
+ "ㄒㄧㄠ1"
+ ],
+ "痛": [
+ "ㄊㄨㄥ4"
+ ],
+ "痜": [
+ "ㄊㄨ1"
+ ],
+ "痝": [
+ "ㄇㄤ2"
+ ],
+ "痞": [
+ "ㄆㄧ3"
+ ],
+ "痟": [
+ "ㄒㄧㄠ1"
+ ],
+ "痠": [
+ "ㄙㄨㄢ1"
+ ],
+ "痡": [
+ "ㄈㄨ1",
+ "ㄆㄨ1",
+ "ㄆㄨ4"
+ ],
+ "痢": [
+ "ㄌㄧ4"
+ ],
+ "痣": [
+ "ㄓ4"
+ ],
+ "痤": [
+ "ㄘㄨㄛ2"
+ ],
+ "痥": [
+ "ㄉㄨㄛ2"
+ ],
+ "痦": [
+ "ㄨ4",
+ "ㄆㄧ1"
+ ],
+ "痧": [
+ "ㄕㄚ1"
+ ],
+ "痨": [
+ "ㄌㄠ2"
+ ],
+ "痩": [
+ "ㄕㄡ4"
+ ],
+ "痪": [
+ "ㄏㄨㄢ4",
+ "ㄊㄨㄢ3"
+ ],
+ "痫": [
+ "ㄒㄧㄢ2"
+ ],
+ "痬": [
+ "ㄧ4"
+ ],
+ "痭": [
+ "ㄅㄥ1",
+ "ㄆㄥ2",
+ "ㄅㄧㄥ4"
+ ],
+ "痮": [
+ "ㄓㄤ4"
+ ],
+ "痯": [
+ "ㄍㄨㄢ3"
+ ],
+ "痰": [
+ "ㄊㄢ2"
+ ],
+ "痱": [
+ "ㄈㄟ4",
+ "ㄈㄟ2",
+ "ㄈㄟ3"
+ ],
+ "痲": [
+ "ㄇㄚ2"
+ ],
+ "痳": [
+ "ㄌㄧㄣ2",
+ "ㄌㄧㄣ4"
+ ],
+ "痴": [
+ "ㄔ1"
+ ],
+ "痵": [
+ "ㄐㄧ4"
+ ],
+ "痶": [
+ "ㄊㄧㄢ3",
+ "ㄉㄧㄢ3"
+ ],
+ "痷": [
+ "ㄢ1",
+ "ㄧㄝ4",
+ "ㄜ4"
+ ],
+ "痸": [
+ "ㄔ4"
+ ],
+ "痹": [
+ "ㄅㄧ4"
+ ],
+ "痺": [
+ "ㄅㄧ4"
+ ],
+ "痻": [
+ "ㄇㄧㄣ2"
+ ],
+ "痼": [
+ "ㄍㄨ4"
+ ],
+ "痽": [
+ "ㄉㄨㄟ1"
+ ],
+ "痾": [
+ "ㄜ1",
+ "ㄎㄜ1"
+ ],
+ "痿": [
+ "ㄨㄟ3"
+ ],
+ "瘀": [
+ "ㄩ1"
+ ],
+ "瘁": [
+ "ㄘㄨㄟ4"
+ ],
+ "瘂": [
+ "ㄧㄚ3"
+ ],
+ "瘃": [
+ "ㄓㄨ2"
+ ],
+ "瘄": [
+ "ㄘㄨ4"
+ ],
+ "瘅": [
+ "ㄉㄢ1",
+ "ㄉㄢ4"
+ ],
+ "瘆": [
+ "ㄕㄣ4"
+ ],
+ "瘇": [
+ "ㄓㄨㄥ3"
+ ],
+ "瘈": [
+ "ㄔ4",
+ "ㄓ4"
+ ],
+ "瘉": [
+ "ㄩ4"
+ ],
+ "瘊": [
+ "ㄏㄡ2"
+ ],
+ "瘋": [
+ "ㄈㄥ1"
+ ],
+ "瘌": [
+ "ㄌㄚ4"
+ ],
+ "瘍": [
+ "ㄧㄤ2",
+ "ㄉㄤ4"
+ ],
+ "瘎": [
+ "ㄔㄣ2"
+ ],
+ "瘏": [
+ "ㄊㄨ2"
+ ],
+ "瘐": [
+ "ㄩ3",
+ "ㄩ4"
+ ],
+ "瘑": [
+ "ㄍㄨㄛ1"
+ ],
+ "瘒": [
+ "ㄨㄣ2"
+ ],
+ "瘓": [
+ "ㄏㄨㄢ4"
+ ],
+ "瘔": [
+ "ㄎㄨ4"
+ ],
+ "瘕": [
+ "ㄐㄧㄚ3",
+ "ㄒㄧㄚ1"
+ ],
+ "瘖": [
+ "ㄧㄣ1",
+ "ㄧㄣ4"
+ ],
+ "瘗": [
+ "ㄧ4"
+ ],
+ "瘘": [
+ "ㄌㄡ4"
+ ],
+ "瘙": [
+ "ㄙㄠ4"
+ ],
+ "瘚": [
+ "ㄐㄩㄝ2"
+ ],
+ "瘛": [
+ "ㄔ4"
+ ],
+ "瘜": [
+ "ㄒㄧ1"
+ ],
+ "瘝": [
+ "ㄍㄨㄢ1"
+ ],
+ "瘞": [
+ "ㄧ4"
+ ],
+ "瘟": [
+ "ㄨㄣ1",
+ "ㄨㄛ4",
+ "ㄩㄣ1"
+ ],
+ "瘠": [
+ "ㄐㄧ2"
+ ],
+ "瘡": [
+ "ㄔㄨㄤ1"
+ ],
+ "瘢": [
+ "ㄅㄢ1"
+ ],
+ "瘣": [
+ "ㄏㄨㄟ4",
+ "ㄌㄟ3"
+ ],
+ "瘤": [
+ "ㄌㄧㄡ2"
+ ],
+ "瘥": [
+ "ㄔㄞ4",
+ "ㄘㄨㄛ2"
+ ],
+ "瘦": [
+ "ㄕㄡ4"
+ ],
+ "瘧": [
+ "ㄋㄩㄝ4",
+ "ㄧㄠ4"
+ ],
+ "瘨": [
+ "ㄉㄧㄢ1",
+ "ㄔㄣ1"
+ ],
+ "瘩": [
+ "ㄉㄚ1",
+ "ㄉㄚ5",
+ "ㄉㄚ2"
+ ],
+ "瘪": [
+ "ㄅㄧㄝ3",
+ "ㄅㄧㄝ1"
+ ],
+ "瘫": [
+ "ㄊㄢ1"
+ ],
+ "瘬": [
+ "ㄓㄤ4"
+ ],
+ "瘭": [
+ "ㄅㄧㄠ1"
+ ],
+ "瘮": [
+ "ㄕㄣ4"
+ ],
+ "瘯": [
+ "ㄘㄨ4"
+ ],
+ "瘰": [
+ "ㄌㄨㄛ3"
+ ],
+ "瘱": [
+ "ㄧ4"
+ ],
+ "瘲": [
+ "ㄗㄨㄥ4"
+ ],
+ "瘳": [
+ "ㄔㄡ1",
+ "ㄌㄨ4"
+ ],
+ "瘴": [
+ "ㄓㄤ4"
+ ],
+ "瘵": [
+ "ㄓㄞ4",
+ "ㄐㄧ4"
+ ],
+ "瘶": [
+ "ㄙㄡ4"
+ ],
+ "瘷": [
+ "ㄙㄜ4"
+ ],
+ "瘸": [
+ "ㄑㄩㄝ2"
+ ],
+ "瘹": [
+ "ㄉㄧㄠ4"
+ ],
+ "瘺": [
+ "ㄌㄡ4"
+ ],
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+ "ㄧㄣ3"
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+ "ㄧㄢ4"
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+ "ㄉㄧㄠ4"
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+ "ㄔㄨㄤ1"
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+ "ㄧㄠ4",
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+ ],
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+ "ㄊㄧㄠ3",
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+ ],
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+ "ㄐㄧㄠ4",
+ "ㄗㄠ4"
+ ],
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+ "ㄐㄩㄥ3"
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+ "ㄒㄧㄠ1"
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+ "ㄔㄥ2"
+ ],
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+ "ㄎㄡ4"
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+ "ㄘㄨㄢ4"
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+ "ㄨㄛ1"
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+ "ㄉㄢ4"
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+ "ㄎㄨ1"
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+ "ㄎㄜ1"
+ ],
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+ "ㄓㄨㄛ2"
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+ "ㄒㄩ1"
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+ "ㄙㄨ1"
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+ "ㄍㄨㄢ1"
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+ "ㄎㄨㄟ1"
+ ],
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+ "ㄉㄡ4"
+ ],
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+ "ㄓㄨㄛ5"
+ ],
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+ "ㄒㄩㄣ1",
+ "ㄧㄣ4",
+ "ㄧㄣ1"
+ ],
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+ "ㄨㄛ1"
+ ],
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+ "ㄨㄚ1"
+ ],
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+ "ㄧㄚ4",
+ "ㄧㄝ1"
+ ],
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+ "ㄩ2",
+ "ㄉㄡ1"
+ ],
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+ "ㄐㄩ4"
+ ],
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+ "ㄑㄩㄥ2"
+ ],
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+ "ㄧㄠ2",
+ "ㄧㄠ4",
+ "ㄑㄧㄠ1"
+ ],
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+ "ㄧㄠ2"
+ ],
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+ "ㄊㄧㄠ3"
+ ],
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+ "ㄔㄠ2"
+ ],
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+ "ㄩ3",
+ "ㄩ2"
+ ],
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+ "ㄊㄧㄢ2"
+ ],
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+ "ㄉㄧㄠ4"
+ ],
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+ "ㄐㄩ4",
+ "ㄌㄡ2"
+ ],
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+ "ㄌㄧㄠ4"
+ ],
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+ "ㄒㄧ1"
+ ],
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+ "ㄨ4"
+ ],
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+ "ㄎㄨㄟ1",
+ "ㄎㄨㄟ3"
+ ],
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+ "ㄔㄨㄤ1"
+ ],
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+ "ㄓㄠ1",
+ "ㄎㄜ1"
+ ],
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+ "ㄎㄨㄢ3"
+ ],
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+ "ㄎㄨㄢ3",
+ "ㄘㄨㄢ4"
+ ],
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+ "ㄌㄨㄥ2"
+ ],
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+ "ㄔㄥ1",
+ "ㄔㄥ4"
+ ],
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+ "ㄘㄨㄟ4"
+ ],
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+ "ㄌㄧㄠ2"
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+ "ㄗㄠ4"
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+ "ㄘㄨㄢ4",
+ "ㄘㄨㄢ1"
+ ],
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+ "ㄑㄧㄠ4"
+ ],
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+ "ㄑㄩㄥ2"
+ ],
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+ "ㄉㄡ4",
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+ "ㄗㄠ4"
+ ],
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+ "ㄌㄨㄥ3"
+ ],
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+ "ㄑㄧㄝ4"
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+ "ㄌㄧ4",
+ "ㄨㄟ4"
+ ],
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+ "ㄔㄨ4"
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+ ],
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+ "ㄈㄨ4"
+ ],
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+ "ㄑㄧㄢ1"
+ ],
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+ "ㄔㄨ4"
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+ "ㄏㄨㄥ2"
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+ "ㄑㄧ2"
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+ "ㄏㄠ2"
+ ],
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+ "ㄕㄥ1"
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+ "ㄈㄣ1"
+ ],
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+ "ㄕㄨ4"
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+ "ㄇㄧㄠ4"
+ ],
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+ "ㄑㄩ3",
+ "ㄎㄡ3"
+ ],
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+ "ㄓㄢ4",
+ "ㄓㄢ1"
+ ],
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+ "ㄓㄨ4"
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+ "ㄌㄧㄥ2"
+ ],
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+ "ㄌㄨㄥ2",
+ "ㄋㄥ2"
+ ],
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+ "ㄅㄧㄥ4"
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+ "ㄐㄧㄥ4"
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+ "ㄐㄧㄥ4"
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+ "ㄓㄤ1",
+ "ㄓㄤ4"
+ ],
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+ "ㄅㄞ3"
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+ "ㄙ4"
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+ "ㄐㄩㄣ4"
+ ],
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+ "ㄏㄨㄥ2"
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+ "ㄊㄨㄥ2",
+ "ㄓㄨㄥ1"
+ ],
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+ "ㄙㄨㄥ3"
+ ],
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+ "ㄐㄧㄥ4",
+ "ㄓㄣ3"
+ ],
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+ "ㄉㄧㄠ4"
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+ "ㄧ4"
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+ "ㄕㄨ4"
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+ "ㄐㄧㄥ4"
+ ],
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+ "ㄑㄩ3"
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+ "ㄐㄧㄝ2"
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+ "ㄆㄧㄥ1"
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+ "ㄉㄨㄢ1"
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+ "ㄌㄧ2"
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+ "ㄓㄨㄢ3"
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+ "ㄘㄥ2"
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+ "ㄉㄥ1"
+ ],
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+ "ㄘㄨㄣ1"
+ ],
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+ "ㄨㄞ1",
+ "ㄏㄨㄚ1"
+ ],
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+ "ㄐㄧㄥ4"
+ ],
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+ "ㄎㄢ3",
+ "ㄎㄢ4"
+ ],
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+ "ㄐㄧㄥ4"
+ ],
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+ "ㄓㄨ2"
+ ],
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+ "ㄓㄨ2",
+ "ㄉㄨ3"
+ ],
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+ "ㄌㄜ4",
+ "ㄐㄧㄣ1"
+ ],
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+ "ㄆㄥ2"
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+ "ㄩ2"
+ ],
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+ "ㄔ2"
+ ],
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+ "ㄍㄢ1",
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+ "ㄍㄢ3"
+ ],
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+ "ㄇㄤ2"
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+ "ㄓㄨ2"
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+ "ㄨㄢ2"
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+ "ㄉㄨ3"
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+ "ㄐㄧ1"
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+ "ㄐㄧㄠ3"
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+ "ㄅㄚ1"
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+ "ㄙㄨㄢ4"
+ ],
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+ "ㄐㄧ2"
+ ],
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+ "ㄑㄧㄣ3"
+ ],
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+ "ㄓㄠ4"
+ ],
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+ "ㄙㄨㄣ3"
+ ],
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+ "ㄧㄚ2"
+ ],
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+ "ㄓㄨㄟ4",
+ "ㄖㄨㄟ4"
+ ],
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+ "ㄩㄢ2"
+ ],
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+ "ㄏㄨ4",
+ "ㄨㄣ3",
+ "ㄨ4"
+ ],
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+ "ㄏㄤ2",
+ "ㄏㄤ4"
+ ],
+ "笑": [
+ "ㄒㄧㄠ4"
+ ],
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+ "ㄘㄣ2",
+ "ㄐㄧㄣ4",
+ "ㄏㄢ2"
+ ],
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+ "ㄅㄧ4",
+ "ㄆㄧ2",
+ "ㄅㄧ1"
+ ],
+ "笔": [
+ "ㄅㄧ3"
+ ],
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+ "ㄐㄧㄢ3"
+ ],
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+ "ㄧ3"
+ ],
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+ "ㄉㄨㄥ1"
+ ],
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+ "ㄕㄢ1"
+ ],
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+ "ㄕㄥ1"
+ ],
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+ "ㄉㄚ1",
+ "ㄒㄧㄚ2",
+ "ㄋㄚ4"
+ ],
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+ "ㄉㄧ2"
+ ],
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+ "ㄓㄨ2"
+ ],
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+ "ㄋㄚ4"
+ ],
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+ "ㄔ1"
+ ],
+ "笟": [
+ "ㄍㄨ1"
+ ],
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+ "ㄌㄧ4"
+ ],
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+ "ㄑㄧㄝ4"
+ ],
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+ "ㄇㄧㄣ3"
+ ],
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+ "ㄅㄠ1"
+ ],
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+ "ㄊㄧㄠ2",
+ "ㄕㄠ4"
+ ],
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+ "ㄙ4"
+ ],
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+ "ㄈㄨ2"
+ ],
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+ "ㄘㄜ4",
+ "ㄕㄢ4"
+ ],
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+ "ㄅㄣ4"
+ ],
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+ "ㄈㄚ2"
+ ],
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+ "ㄉㄚ2"
+ ],
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+ "ㄗ3"
+ ],
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+ "ㄉㄧ4"
+ ],
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+ "ㄌㄧㄥ2"
+ ],
+ "笮": [
+ "ㄗㄜ2",
+ "ㄗㄨㄛ2",
+ "ㄓㄚ4"
+ ],
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+ "ㄋㄨ2"
+ ],
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+ "ㄈㄨ2",
+ "ㄈㄟ4"
+ ],
+ "笱": [
+ "ㄍㄡ3"
+ ],
+ "笲": [
+ "ㄈㄢ2"
+ ],
+ "笳": [
+ "ㄐㄧㄚ1"
+ ],
+ "笴": [
+ "ㄍㄢ3"
+ ],
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+ "ㄈㄢ4"
+ ],
+ "笶": [
+ "ㄕ3"
+ ],
+ "笷": [
+ "ㄇㄠ3"
+ ],
+ "笸": [
+ "ㄆㄛ3"
+ ],
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+ "ㄊㄧ5"
+ ],
+ "笺": [
+ "ㄐㄧㄢ1"
+ ],
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+ "ㄑㄩㄥ2"
+ ],
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+ "ㄌㄨㄥ2",
+ "ㄌㄨㄥ3"
+ ],
+ "笽": [
+ "ㄇㄧㄣ3"
+ ],
+ "笾": [
+ "ㄅㄧㄢ1"
+ ],
+ "笿": [
+ "ㄌㄨㄛ4"
+ ],
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+ "ㄍㄨㄟ4"
+ ],
+ "筁": [
+ "ㄑㄩ1"
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+ "ㄔ2"
+ ],
+ "筃": [
+ "ㄧㄣ1"
+ ],
+ "筄": [
+ "ㄧㄠ4"
+ ],
+ "筅": [
+ "ㄒㄧㄢ3"
+ ],
+ "筆": [
+ "ㄅㄧ3"
+ ],
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+ "ㄑㄩㄥ2"
+ ],
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+ "ㄎㄨㄛ4"
+ ],
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+ "ㄉㄥ3"
+ ],
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+ "ㄒㄧㄠ2",
+ "ㄐㄧㄠ3",
+ "ㄐㄧㄠ4"
+ ],
+ "筋": [
+ "ㄐㄧㄣ1",
+ "ㄑㄧㄢ2"
+ ],
+ "筌": [
+ "ㄑㄩㄢ2"
+ ],
+ "筍": [
+ "ㄙㄨㄣ3",
+ "ㄩㄣ2",
+ "ㄒㄩㄣ4"
+ ],
+ "筎": [
+ "ㄖㄨ2"
+ ],
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+ "ㄈㄚ2"
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+ "ㄎㄨㄤ1"
+ ],
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+ "ㄓㄨ4",
+ "ㄓㄨ2"
+ ],
+ "筒": [
+ "ㄊㄨㄥ3",
+ "ㄉㄨㄥ4",
+ "ㄊㄨㄥ2"
+ ],
+ "筓": [
+ "ㄐㄧ1"
+ ],
+ "答": [
+ "ㄉㄚ2",
+ "ㄉㄚ1"
+ ],
+ "筕": [
+ "ㄏㄤ2"
+ ],
+ "策": [
+ "ㄘㄜ4"
+ ],
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+ "ㄓㄨㄥ4"
+ ],
+ "筘": [
+ "ㄎㄡ4"
+ ],
+ "筙": [
+ "ㄌㄞ2"
+ ],
+ "筚": [
+ "ㄅㄧ4"
+ ],
+ "筛": [
+ "ㄕㄞ1"
+ ],
+ "筜": [
+ "ㄉㄤ1"
+ ],
+ "筝": [
+ "ㄓㄥ1"
+ ],
+ "筞": [
+ "ㄘㄜ4"
+ ],
+ "筟": [
+ "ㄈㄨ1"
+ ],
+ "筠": [
+ "ㄩㄣ2",
+ "ㄐㄩㄣ1"
+ ],
+ "筡": [
+ "ㄊㄨ2"
+ ],
+ "筢": [
+ "ㄆㄚ2"
+ ],
+ "筣": [
+ "ㄌㄧ2"
+ ],
+ "筤": [
+ "ㄌㄤ2",
+ "ㄌㄤ4"
+ ],
+ "筥": [
+ "ㄐㄩ3"
+ ],
+ "筦": [
+ "ㄍㄨㄢ3"
+ ],
+ "筧": [
+ "ㄐㄧㄢ3",
+ "ㄒㄧㄢ4"
+ ],
+ "筨": [
+ "ㄏㄢ2"
+ ],
+ "筩": [
+ "ㄊㄨㄥ2",
+ "ㄊㄨㄥ3",
+ "ㄩㄥ3",
+ "ㄉㄨㄥ4"
+ ],
+ "筪": [
+ "ㄒㄧㄚ2"
+ ],
+ "筫": [
+ "ㄓ4",
+ "ㄓ3"
+ ],
+ "筬": [
+ "ㄔㄥ2"
+ ],
+ "筭": [
+ "ㄙㄨㄢ4"
+ ],
+ "筮": [
+ "ㄕ4"
+ ],
+ "筯": [
+ "ㄓㄨ4"
+ ],
+ "筰": [
+ "ㄗㄨㄛ2"
+ ],
+ "筱": [
+ "ㄒㄧㄠ3"
+ ],
+ "筲": [
+ "ㄕㄠ1"
+ ],
+ "筳": [
+ "ㄊㄧㄥ2"
+ ],
+ "筴": [
+ "ㄘㄜ4",
+ "ㄐㄧㄚ1",
+ "ㄐㄧㄚ2"
+ ],
+ "筵": [
+ "ㄧㄢ2"
+ ],
+ "筶": [
+ "ㄍㄠ4",
+ "ㄍㄠ3"
+ ],
+ "筷": [
+ "ㄎㄨㄞ4"
+ ],
+ "筸": [
+ "ㄍㄢ1"
+ ],
+ "筹": [
+ "ㄔㄡ2"
+ ],
+ "筺": [
+ "ㄎㄨㄤ1"
+ ],
+ "筻": [
+ "ㄍㄤ4"
+ ],
+ "筼": [
+ "ㄩㄣ2"
+ ],
+ "筽": [
+ "ㄡ1",
+ "ㄨ2"
+ ],
+ "签": [
+ "ㄑㄧㄢ1"
+ ],
+ "筿": [
+ "ㄒㄧㄠ3"
+ ],
+ "简": [
+ "ㄐㄧㄢ3"
+ ],
+ "箁": [
+ "ㄆㄡ2",
+ "ㄅㄨ4",
+ "ㄈㄨ2",
+ "ㄆㄨ2"
+ ],
+ "箂": [
+ "ㄌㄞ2"
+ ],
+ "箃": [
+ "ㄗㄡ1"
+ ],
+ "箄": [
+ "ㄅㄧ3",
+ "ㄅㄟ1",
+ "ㄅㄧ1",
+ "ㄅㄧ4",
+ "ㄆㄞ2"
+ ],
+ "箅": [
+ "ㄅㄧ4"
+ ],
+ "箆": [
+ "ㄅㄧ4"
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+ "ㄋㄧㄢ2"
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+ "粠": [
+ "ㄏㄨㄥ2"
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+ "粡": [
+ "ㄊㄨㄥ2"
+ ],
+ "粢": [
+ "ㄗ1",
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+ "ㄑㄧ4"
+ ],
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+ "ㄔㄣ1"
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+ "ㄊㄢ3",
+ "ㄉㄚ2"
+ ],
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+ "ㄈㄟ3"
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+ "ㄅㄟ1"
+ ],
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+ "ㄍㄨ1",
+ "ㄏㄨ4"
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+ "ㄋㄧ4"
+ ],
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+ "ㄆㄥ1"
+ ],
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+ "ㄘ2",
+ "ㄐㄧ2"
+ ],
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+ "ㄈㄨ1",
+ "ㄈㄨ2",
+ "ㄓㄡ3"
+ ],
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+ "ㄆㄢ2",
+ "ㄆㄢ4"
+ ],
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+ "ㄓㄣ3",
+ "ㄓㄨㄣ1"
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+ ],
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+ "ㄆㄟ1"
+ ],
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+ ],
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+ "ㄒㄧㄥ1",
+ "ㄑㄧㄥ4",
+ "ㄕㄥ1"
+ ],
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+ "ㄔ1",
+ "ㄉㄧ4"
+ ],
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+ "ㄆㄠ2",
+ "ㄆㄠ4"
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+ ],
+ "胠": [
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+ ],
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+ ],
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+ "ㄎㄜ1"
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+ "ㄆㄨ2"
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+ "ㄒㄧㄢ3"
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+ ],
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+ "ㄐㄧ2"
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+ "ㄍㄨㄛ3"
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+ "蠒": [
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+ "ㄧㄢ4"
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+ "ㄐㄩ4"
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+ "ㄩㄢ2"
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+ "ㄨㄣ1"
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+ "ㄩㄢ4"
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+ ],
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+ "ㄉㄨㄛ3"
+ ],
+ "趔": [
+ "ㄌㄧㄝ4"
+ ],
+ "趕": [
+ "ㄍㄢ3"
+ ],
+ "趖": [
+ "ㄙㄨㄛ1"
+ ],
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+ "ㄘㄨ4"
+ ],
+ "趘": [
+ "ㄒㄧ2"
+ ],
+ "趙": [
+ "ㄓㄠ4",
+ "ㄉㄧㄠ4"
+ ],
+ "趚": [
+ "ㄙㄨ4"
+ ],
+ "趛": [
+ "ㄧㄣ3"
+ ],
+ "趜": [
+ "ㄐㄩ2",
+ "ㄑㄩ1",
+ "ㄑㄧㄡ2"
+ ],
+ "趝": [
+ "ㄐㄧㄢ4"
+ ],
+ "趞": [
+ "ㄑㄩㄝ4",
+ "ㄑㄧ4",
+ "ㄐㄧ2"
+ ],
+ "趟": [
+ "ㄊㄤ4",
+ "ㄓㄥ1",
+ "ㄓㄥ4",
+ "ㄔㄥ2",
+ "ㄊㄤ1"
+ ],
+ "趠": [
+ "ㄔㄨㄛ4",
+ "ㄔㄠ4",
+ "ㄊㄧㄠ4",
+ "ㄓㄨㄛ2"
+ ],
+ "趡": [
+ "ㄘㄨㄟ3",
+ "ㄨㄟ3",
+ "ㄐㄩ4"
+ ],
+ "趢": [
+ "ㄌㄨ4"
+ ],
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+ "ㄑㄩ4",
+ "ㄘㄨ4",
+ "ㄑㄩ1",
+ "ㄘㄡ3",
+ "ㄗㄡ1"
+ ],
+ "趤": [
+ "ㄉㄤ4"
+ ],
+ "趥": [
+ "ㄑㄧㄡ1",
+ "ㄘㄨ4"
+ ],
+ "趦": [
+ "ㄗ1"
+ ],
+ "趧": [
+ "ㄊㄧ2"
+ ],
+ "趨": [
+ "ㄑㄩ1",
+ "ㄘㄨ4",
+ "ㄑㄩ4",
+ "ㄘㄡ3"
+ ],
+ "趩": [
+ "ㄔ4"
+ ],
+ "趪": [
+ "ㄏㄨㄤ2",
+ "ㄍㄨㄤ1"
+ ],
+ "趫": [
+ "ㄑㄧㄠ2",
+ "ㄐㄧㄠ4",
+ "ㄔㄠ3"
+ ],
+ "趬": [
+ "ㄑㄧㄠ1"
+ ],
+ "趭": [
+ "ㄐㄧㄠ4"
+ ],
+ "趮": [
+ "ㄗㄠ4"
+ ],
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+ "ㄊㄧ4",
+ "ㄩㄝ4",
+ "ㄧㄠ4"
+ ],
+ "趰": [
+ "ㄦ3"
+ ],
+ "趱": [
+ "ㄗㄢ3"
+ ],
+ "趲": [
+ "ㄗㄢ3",
+ "ㄗㄨ1"
+ ],
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+ "ㄗㄨ2",
+ "ㄐㄩ4"
+ ],
+ "趴": [
+ "ㄆㄚ1"
+ ],
+ "趵": [
+ "ㄅㄠ4",
+ "ㄅㄛ1",
+ "ㄓㄨㄛ2",
+ "ㄔㄨㄛ4",
+ "ㄆㄠ2"
+ ],
+ "趶": [
+ "ㄎㄨ4",
+ "ㄨ1"
+ ],
+ "趷": [
+ "ㄎㄜ1"
+ ],
+ "趸": [
+ "ㄉㄨㄣ3"
+ ],
+ "趹": [
+ "ㄐㄩㄝ2",
+ "ㄍㄨㄟ4"
+ ],
+ "趺": [
+ "ㄈㄨ1"
+ ],
+ "趻": [
+ "ㄔㄣ3"
+ ],
+ "趼": [
+ "ㄐㄧㄢ3",
+ "ㄧㄢ4",
+ "ㄧㄢ2",
+ "ㄐㄧㄢ1"
+ ],
+ "趽": [
+ "ㄈㄤ4",
+ "ㄆㄤ2",
+ "ㄈㄤ1"
+ ],
+ "趾": [
+ "ㄓ3"
+ ],
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+ "ㄊㄚ1",
+ "ㄙㄚ4",
+ "ㄑㄧ4"
+ ],
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+ "ㄩㄝ4"
+ ],
+ "跁": [
+ "ㄅㄚ4",
+ "ㄆㄚ2"
+ ],
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+ "ㄑㄧ3",
+ "ㄑㄧ4",
+ "ㄐㄧ1",
+ "ㄓ1"
+ ],
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+ "ㄩㄝ4"
+ ],
+ "跄": [
+ "ㄑㄧㄤ1",
+ "ㄑㄧㄤ4"
+ ],
+ "跅": [
+ "ㄊㄨㄛ4",
+ "ㄔ4"
+ ],
+ "跆": [
+ "ㄊㄞ2"
+ ],
+ "跇": [
+ "ㄧ4"
+ ],
+ "跈": [
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+ "ㄐㄧㄢ4",
+ "ㄔㄣ2",
+ "ㄊㄧㄢ4"
+ ],
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+ "ㄌㄧㄥ2"
+ ],
+ "跊": [
+ "ㄇㄟ4"
+ ],
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+ "ㄅㄚ2",
+ "ㄅㄟ4"
+ ],
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+ "ㄉㄧㄝ2",
+ "ㄊㄨ2"
+ ],
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+ "ㄎㄨ1"
+ ],
+ "跎": [
+ "ㄊㄨㄛ2"
+ ],
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+ "ㄐㄧㄚ1"
+ ],
+ "跐": [
+ "ㄘ1",
+ "ㄘ3",
+ "ㄗ3"
+ ],
+ "跑": [
+ "ㄆㄠ3",
+ "ㄆㄠ2",
+ "ㄅㄛ2"
+ ],
+ "跒": [
+ "ㄑㄧㄚ3"
+ ],
+ "跓": [
+ "ㄓㄨ4"
+ ],
+ "跔": [
+ "ㄐㄩ1",
+ "ㄑㄩ3"
+ ],
+ "跕": [
+ "ㄉㄧㄢ3",
+ "ㄊㄧㄝ1",
+ "ㄉㄧㄝ2",
+ "ㄓㄢ4",
+ "ㄉㄧㄝ1"
+ ],
+ "跖": [
+ "ㄓ2"
+ ],
+ "跗": [
+ "ㄈㄨ1",
+ "ㄈㄨ4"
+ ],
+ "跘": [
+ "ㄆㄢ2",
+ "ㄅㄢ4"
+ ],
+ "跙": [
+ "ㄐㄩ4",
+ "ㄑㄩ1",
+ "ㄑㄧㄝ3",
+ "ㄓㄨ4",
+ "ㄑㄧㄝ4"
+ ],
+ "跚": [
+ "ㄕㄢ1"
+ ],
+ "跛": [
+ "ㄅㄛ3",
+ "ㄅㄧ4",
+ "ㄆㄛ1"
+ ],
+ "跜": [
+ "ㄋㄧ2"
+ ],
+ "距": [
+ "ㄐㄩ4"
+ ],
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+ "ㄌㄧ4",
+ "ㄌㄨㄛ4"
+ ],
+ "跟": [
+ "ㄍㄣ1"
+ ],
+ "跠": [
+ "ㄧ2"
+ ],
+ "跡": [
+ "ㄐㄧ1"
+ ],
+ "跢": [
+ "ㄉㄨㄛ4",
+ "ㄉㄞ4",
+ "ㄉㄨㄛ1",
+ "ㄔ2"
+ ],
+ "跣": [
+ "ㄒㄧㄢ3",
+ "ㄒㄧㄢ1",
+ "ㄙㄨㄣ3"
+ ],
+ "跤": [
+ "ㄐㄧㄠ1",
+ "ㄑㄧㄠ1"
+ ],
+ "跥": [
+ "ㄉㄨㄛ4"
+ ],
+ "跦": [
+ "ㄓㄨ1",
+ "ㄔㄨ2"
+ ],
+ "跧": [
+ "ㄑㄩㄢ2",
+ "ㄗㄨㄣ1"
+ ],
+ "跨": [
+ "ㄎㄨㄚ4",
+ "ㄎㄨ4",
+ "ㄎㄨㄚ1",
+ "ㄎㄨㄚ3"
+ ],
+ "跩": [
+ "ㄓㄨㄞ3",
+ "ㄕ4"
+ ],
+ "跪": [
+ "ㄍㄨㄟ4"
+ ],
+ "跫": [
+ "ㄑㄩㄥ2",
+ "ㄑㄧㄤ1",
+ "ㄑㄩㄥ1"
+ ],
+ "跬": [
+ "ㄎㄨㄟ3",
+ "ㄒㄧㄝ4"
+ ],
+ "跭": [
+ "ㄒㄧㄤ2"
+ ],
+ "跮": [
+ "ㄔ4",
+ "ㄉㄧㄝ2"
+ ],
+ "路": [
+ "ㄌㄨ4",
+ "ㄌㄨㄛ4"
+ ],
+ "跰": [
+ "ㄆㄧㄢ2",
+ "ㄅㄥ4",
+ "ㄅㄧㄥ3"
+ ],
+ "跱": [
+ "ㄓ4"
+ ],
+ "跲": [
+ "ㄐㄧㄚ2",
+ "ㄐㄧㄝ2"
+ ],
+ "跳": [
+ "ㄊㄧㄠ4",
+ "ㄉㄧㄠ4",
+ "ㄊㄠ2"
+ ],
+ "跴": [
+ "ㄘㄞ3"
+ ],
+ "践": [
+ "ㄐㄧㄢ4"
+ ],
+ "跶": [
+ "ㄉㄚ2",
+ "ㄉㄚ5"
+ ],
+ "跷": [
+ "ㄑㄧㄠ1"
+ ],
+ "跸": [
+ "ㄅㄧ4"
+ ],
+ "跹": [
+ "ㄒㄧㄢ1"
+ ],
+ "跺": [
+ "ㄉㄨㄛ4"
+ ],
+ "跻": [
+ "ㄐㄧ1"
+ ],
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+ "ㄐㄩ2",
+ "ㄑㄩ4"
+ ],
+ "跽": [
+ "ㄐㄧ4"
+ ],
+ "跾": [
+ "ㄕㄨ1",
+ "ㄔㄡ1"
+ ],
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+ "ㄊㄨ2",
+ "ㄉㄨㄛ2",
+ "ㄔㄨㄛ1"
+ ],
+ "踀": [
+ "ㄔㄨ4",
+ "ㄘㄨ4"
+ ],
+ "踁": [
+ "ㄐㄧㄥ4",
+ "ㄎㄥ1"
+ ],
+ "踂": [
+ "ㄋㄧㄝ4"
+ ],
+ "踃": [
+ "ㄒㄧㄠ1",
+ "ㄑㄧㄠ4"
+ ],
+ "踄": [
+ "ㄅㄨ4"
+ ],
+ "踅": [
+ "ㄒㄩㄝ2",
+ "ㄔ4"
+ ],
+ "踆": [
+ "ㄘㄨㄣ1",
+ "ㄑㄩㄣ1",
+ "ㄘㄨㄣ2",
+ "ㄗㄨㄣ1",
+ "ㄑㄧㄡ4",
+ "ㄓㄨㄣ1"
+ ],
+ "踇": [
+ "ㄇㄨ3"
+ ],
+ "踈": [
+ "ㄕㄨ1"
+ ],
+ "踉": [
+ "ㄌㄧㄤ2",
+ "ㄌㄧㄤ4",
+ "ㄌㄤ2",
+ "ㄌㄤ4"
+ ],
+ "踊": [
+ "ㄩㄥ3"
+ ],
+ "踋": [
+ "ㄐㄧㄠ3"
+ ],
+ "踌": [
+ "ㄔㄡ2"
+ ],
+ "踍": [
+ "ㄑㄧㄠ1"
+ ],
+ "踎": [
+ "ㄇㄡ2"
+ ],
+ "踏": [
+ "ㄊㄚ4",
+ "ㄊㄚ1"
+ ],
+ "踐": [
+ "ㄐㄧㄢ4"
+ ],
+ "踑": [
+ "ㄑㄧ2",
+ "ㄐㄧ1",
+ "ㄐㄧ4"
+ ],
+ "踒": [
+ "ㄨㄛ1",
+ "ㄨㄟ1",
+ "ㄖㄨㄟ2"
+ ],
+ "踓": [
+ "ㄨㄟ3",
+ "ㄘㄨ4"
+ ],
+ "踔": [
+ "ㄔㄨㄛ1",
+ "ㄉㄧㄠ4",
+ "ㄓㄨㄛ1",
+ "ㄊㄧㄠ4",
+ "ㄔㄨㄛ4"
+ ],
+ "踕": [
+ "ㄐㄧㄝ2"
+ ],
+ "踖": [
+ "ㄐㄧ2",
+ "ㄑㄧ4",
+ "ㄑㄩㄝ4"
+ ],
+ "踗": [
+ "ㄋㄧㄝ4"
+ ],
+ "踘": [
+ "ㄐㄩ1"
+ ],
+ "踙": [
+ "ㄋㄧㄝ4"
+ ],
+ "踚": [
+ "ㄌㄨㄣ2"
+ ],
+ "踛": [
+ "ㄌㄨ4"
+ ],
+ "踜": [
+ "ㄌㄥ4",
+ "ㄌㄥ2",
+ "ㄔㄥ3"
+ ],
+ "踝": [
+ "ㄏㄨㄞ2"
+ ],
+ "踞": [
+ "ㄐㄩ4"
+ ],
+ "踟": [
+ "ㄔ2"
+ ],
+ "踠": [
+ "ㄨㄢ3",
+ "ㄨㄛ4"
+ ],
+ "踡": [
+ "ㄑㄩㄢ2",
+ "ㄐㄩㄢ3"
+ ],
+ "踢": [
+ "ㄊㄧ1",
+ "ㄉㄧㄝ2"
+ ],
+ "踣": [
+ "ㄅㄛ2",
+ "ㄆㄡ4"
+ ],
+ "踤": [
+ "ㄗㄨ2",
+ "ㄘㄨ4",
+ "ㄘㄨㄟ4"
+ ],
+ "踥": [
+ "ㄑㄧㄝ4"
+ ],
+ "踦": [
+ "ㄧ3",
+ "ㄑㄧ1",
+ "ㄐㄧ1",
+ "ㄐㄧ3",
+ "ㄧ4"
+ ],
+ "踧": [
+ "ㄘㄨ4",
+ "ㄉㄧ2"
+ ],
+ "踨": [
+ "ㄗㄨㄥ1"
+ ],
+ "踩": [
+ "ㄘㄞ3",
+ "ㄎㄨㄟ2"
+ ],
+ "踪": [
+ "ㄗㄨㄥ1"
+ ],
+ "踫": [
+ "ㄆㄥ4",
+ "ㄆㄢ2"
+ ],
+ "踬": [
+ "ㄓ4"
+ ],
+ "踭": [
+ "ㄓㄥ1"
+ ],
+ "踮": [
+ "ㄉㄧㄢ3"
+ ],
+ "踯": [
+ "ㄓ2"
+ ],
+ "踰": [
+ "ㄩ2",
+ "ㄧㄠ2",
+ "ㄔㄨ1"
+ ],
+ "踱": [
+ "ㄉㄨㄛ2",
+ "ㄔㄨㄛ4",
+ "ㄉㄨㄛ4"
+ ],
+ "踲": [
+ "ㄉㄨㄣ4"
+ ],
+ "踳": [
+ "ㄔㄨㄢ3",
+ "ㄔㄨㄣ3",
+ "ㄔㄨㄣ1"
+ ],
+ "踴": [
+ "ㄩㄥ3"
+ ],
+ "踵": [
+ "ㄓㄨㄥ3",
+ "ㄓㄨㄥ4"
+ ],
+ "踶": [
+ "ㄉㄧ4",
+ "ㄓ4",
+ "ㄊㄧ2",
+ "ㄔ2",
+ "ㄕ4"
+ ],
+ "踷": [
+ "ㄓㄚ3"
+ ],
+ "踸": [
+ "ㄔㄣ3"
+ ],
+ "踹": [
+ "ㄔㄨㄞ4",
+ "ㄕㄨㄢ4",
+ "ㄉㄨㄢ4",
+ "ㄔㄨㄢ3"
+ ],
+ "踺": [
+ "ㄐㄧㄢ4"
+ ],
+ "踻": [
+ "ㄍㄨㄚ1",
+ "ㄍㄨㄚ3",
+ "ㄊㄨㄛ2"
+ ],
+ "踼": [
+ "ㄊㄤ2",
+ "ㄊㄤ3",
+ "ㄕㄤ1"
+ ],
+ "踽": [
+ "ㄐㄩ3"
+ ],
+ "踾": [
+ "ㄈㄨ2",
+ "ㄅㄧ4"
+ ],
+ "踿": [
+ "ㄗㄨ2"
+ ],
+ "蹀": [
+ "ㄉㄧㄝ2"
+ ],
+ "蹁": [
+ "ㄆㄧㄢ2"
+ ],
+ "蹂": [
+ "ㄖㄡ2",
+ "ㄖㄡ3"
+ ],
+ "蹃": [
+ "ㄋㄨㄛ4",
+ "ㄖㄜ4",
+ "ㄋㄚ4"
+ ],
+ "蹄": [
+ "ㄊㄧ2",
+ "ㄉㄧ4"
+ ],
+ "蹅": [
+ "ㄔㄚ3",
+ "ㄓㄚ1"
+ ],
+ "蹆": [
+ "ㄊㄨㄟ3"
+ ],
+ "蹇": [
+ "ㄐㄧㄢ3"
+ ],
+ "蹈": [
+ "ㄉㄠ3"
+ ],
+ "蹉": [
+ "ㄘㄨㄛ1"
+ ],
+ "蹊": [
+ "ㄑㄧ1",
+ "ㄒㄧ1"
+ ],
+ "蹋": [
+ "ㄊㄚ4"
+ ],
+ "蹌": [
+ "ㄑㄧㄤ1",
+ "ㄑㄧㄤ4"
+ ],
+ "蹍": [
+ "ㄋㄧㄢ3",
+ "ㄓㄢ3",
+ "ㄔㄢ2"
+ ],
+ "蹎": [
+ "ㄉㄧㄢ1"
+ ],
+ "蹏": [
+ "ㄊㄧ2"
+ ],
+ "蹐": [
+ "ㄐㄧ2"
+ ],
+ "蹑": [
+ "ㄋㄧㄝ4"
+ ],
+ "蹒": [
+ "ㄆㄢ2",
+ "ㄇㄢ2"
+ ],
+ "蹓": [
+ "ㄌㄧㄡ1",
+ "ㄌㄧㄡ4"
+ ],
+ "蹔": [
+ "ㄗㄢ4",
+ "ㄘㄢ2"
+ ],
+ "蹕": [
+ "ㄅㄧ4"
+ ],
+ "蹖": [
+ "ㄔㄨㄥ1"
+ ],
+ "蹗": [
+ "ㄌㄨ4"
+ ],
+ "蹘": [
+ "ㄌㄧㄠ2"
+ ],
+ "蹙": [
+ "ㄘㄨ4"
+ ],
+ "蹚": [
+ "ㄊㄤ1",
+ "ㄊㄤ4",
+ "ㄔㄥ1"
+ ],
+ "蹛": [
+ "ㄉㄞ4",
+ "ㄉㄧㄝ1",
+ "ㄉㄢ1",
+ "ㄓ4"
+ ],
+ "蹜": [
+ "ㄙㄨ4"
+ ],
+ "蹝": [
+ "ㄒㄧ3"
+ ],
+ "蹞": [
+ "ㄎㄨㄟ3"
+ ],
+ "蹟": [
+ "ㄐㄧ1"
+ ],
+ "蹠": [
+ "ㄓ2",
+ "ㄓㄨㄛ2"
+ ],
+ "蹡": [
+ "ㄑㄧㄤ1",
+ "ㄑㄧㄤ4"
+ ],
+ "蹢": [
+ "ㄉㄧ2",
+ "ㄓ2"
+ ],
+ "蹣": [
+ "ㄆㄢ2",
+ "ㄇㄢ2",
+ "ㄌㄧㄤ3"
+ ],
+ "蹤": [
+ "ㄗㄨㄥ1"
+ ],
+ "蹥": [
+ "ㄌㄧㄢ2"
+ ],
+ "蹦": [
+ "ㄅㄥ4"
+ ],
+ "蹧": [
+ "ㄗㄠ1"
+ ],
+ "蹨": [
+ "ㄋㄧㄢ3",
+ "ㄖㄢ3"
+ ],
+ "蹩": [
+ "ㄅㄧㄝ2"
+ ],
+ "蹪": [
+ "ㄊㄨㄟ2"
+ ],
+ "蹫": [
+ "ㄐㄩ2"
+ ],
+ "蹬": [
+ "ㄉㄥ1",
+ "ㄉㄥ4"
+ ],
+ "蹭": [
+ "ㄘㄥ4",
+ "ㄘㄥ2"
+ ],
+ "蹮": [
+ "ㄒㄧㄢ1"
+ ],
+ "蹯": [
+ "ㄈㄢ2"
+ ],
+ "蹰": [
+ "ㄔㄨ2"
+ ],
+ "蹱": [
+ "ㄓㄨㄥ1",
+ "ㄔㄨㄥ4"
+ ],
+ "蹲": [
+ "ㄉㄨㄣ1",
+ "ㄗㄨㄣ2",
+ "ㄘㄨㄣ2",
+ "ㄗㄨㄣ1",
+ "ㄘㄨㄣ3",
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+ "ㄐㄧㄤ4"
+ ],
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+ "ㄆㄧㄠ3"
+ ],
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+ "ㄔㄣ3",
+ "ㄔㄢ3"
+ ],
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+ "ㄩ4",
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+ ],
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+ "ㄌㄧ2"
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+ "ㄗㄠ1"
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+ "ㄌㄠ2"
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+ "ㄧ1",
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+ "ㄐㄧㄤ4"
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+ "ㄅㄨ2"
+ ],
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+ "ㄑㄧㄠ2",
+ "ㄓㄢ4"
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+ "ㄒㄧ1"
+ ],
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+ "ㄊㄢ2"
+ ],
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+ "ㄈㄚ1",
+ "ㄆㄛ4",
+ "ㄆㄛ1"
+ ],
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+ "ㄋㄨㄥ2"
+ ],
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+ ],
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+ "ㄌㄧ3"
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+ "ㄐㄩ4"
+ ],
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+ "ㄌㄧㄢ3",
+ "ㄒㄧㄢ1",
+ "ㄐㄧㄢ3"
+ ],
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+ "ㄖㄨ2"
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+ "ㄉㄠ4"
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+ "ㄧㄢ4"
+ ],
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+ "ㄇㄧ2"
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+ "ㄇㄧ2"
+ ],
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+ ],
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+ ],
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+ "ㄊㄨㄥ2"
+ ],
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+ "ㄧㄝ3",
+ "ㄕㄨ4"
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+ "ㄌㄧㄤ4",
+ "ㄌㄧㄤ2"
+ ],
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+ "ㄒㄧ1",
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+ "ㄒㄧ3"
+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄌㄧㄠ4"
+ ],
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+ "ㄉㄠ1"
+ ],
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+ "ㄓㄠ1"
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+ ],
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+ ],
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+ ],
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+ "ㄐㄧㄠ3"
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+ ],
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+ ],
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+ "ㄩ2"
+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄇㄤ2"
+ ],
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+ ],
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+ ],
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+ "ㄧ2",
+ "ㄧㄝ3"
+ ],
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+ ],
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+ "ㄒㄧ1"
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+ ],
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+ ],
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+ ],
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+ "ㄐㄧㄢ4"
+ ],
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+ "ㄆㄧ1",
+ "ㄓㄠ1"
+ ],
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+ "ㄧㄚ2"
+ ],
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+ "ㄧㄣ3",
+ "ㄧㄣ2"
+ ],
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+ "ㄅㄚ1",
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+ ],
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+ "ㄑㄧㄣ2",
+ "ㄓㄣ4"
+ ],
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+ ],
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+ "ㄉㄡ3"
+ ],
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+ "ㄩㄝ4"
+ ],
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+ "ㄑㄧㄢ1",
+ "ㄓㄨㄥ1"
+ ],
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+ "ㄈㄨ3"
+ ],
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+ "ㄅㄨ4"
+ ],
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+ "ㄋㄚ4",
+ "ㄖㄨㄟ4"
+ ],
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+ "ㄑㄧㄣ4"
+ ],
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+ ],
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+ "ㄐㄩㄝ2"
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+ "ㄉㄨㄣ4"
+ ],
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+ "ㄍㄡ1"
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+ ],
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+ "ㄏㄢ2"
+ ],
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+ "ㄅㄢ3"
+ ],
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+ "ㄙㄚ4",
+ "ㄒㄧ4"
+ ],
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+ "ㄖㄣ2"
+ ],
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+ "ㄔㄠ1",
+ "ㄔㄠ3"
+ ],
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+ "ㄋㄧㄡ3",
+ "ㄔㄡ3"
+ ],
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+ "ㄈㄣ1"
+ ],
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+ "ㄩㄣ3",
+ "ㄉㄨㄟ4"
+ ],
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+ "ㄧ3"
+ ],
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+ "ㄑㄧㄣ2"
+ ],
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+ "ㄅㄧ1",
+ "ㄅㄧ3"
+ ],
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+ ],
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+ ],
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+ "ㄧㄣ2"
+ ],
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+ ],
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+ "ㄉㄧㄠ4"
+ ],
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+ "ㄧ4"
+ ],
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+ ],
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+ "ㄒㄧ3"
+ ],
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+ "ㄍㄞ4"
+ ],
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+ "ㄖ4"
+ ],
+ "鈥": [
+ "ㄏㄨㄛ3"
+ ],
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+ "ㄊㄞ4"
+ ],
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+ "ㄎㄤ4"
+ ],
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+ "ㄩㄢ2"
+ ],
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+ "ㄌㄨ2"
+ ],
+ "鈪": [
+ "ㄜ4"
+ ],
+ "鈫": [
+ "ㄑㄧㄣ2"
+ ],
+ "鈬": [
+ "ㄉㄨㄛ2"
+ ],
+ "鈭": [
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+ ],
+ "鈮": [
+ "ㄋㄧ3",
+ "ㄋㄧ2"
+ ],
+ "鈯": [
+ "ㄊㄨ2"
+ ],
+ "鈰": [
+ "ㄕ4"
+ ],
+ "鈱": [
+ "ㄇㄧㄣ2",
+ "ㄇㄧㄣ3"
+ ],
+ "鈲": [
+ "ㄍㄨ1",
+ "ㄆㄧ4"
+ ],
+ "鈳": [
+ "ㄎㄜ1"
+ ],
+ "鈴": [
+ "ㄌㄧㄥ2"
+ ],
+ "鈵": [
+ "ㄅㄧㄥ3"
+ ],
+ "鈶": [
+ "ㄙ4",
+ "ㄘ2",
+ "ㄊㄞ2"
+ ],
+ "鈷": [
+ "ㄍㄨ3",
+ "ㄏㄨ2",
+ "ㄍㄨ4"
+ ],
+ "鈸": [
+ "ㄅㄛ2"
+ ],
+ "鈹": [
+ "ㄆㄧ1",
+ "ㄆㄧ2"
+ ],
+ "鈺": [
+ "ㄩ4"
+ ],
+ "鈻": [
+ "ㄙ4"
+ ],
+ "鈼": [
+ "ㄗㄨㄛ2"
+ ],
+ "鈽": [
+ "ㄅㄨ1"
+ ],
+ "鈾": [
+ "ㄧㄡ2",
+ "ㄓㄡ4"
+ ],
+ "鈿": [
+ "ㄊㄧㄢ2",
+ "ㄉㄧㄢ4"
+ ],
+ "鉀": [
+ "ㄐㄧㄚ3",
+ "ㄍㄜ2"
+ ],
+ "鉁": [
+ "ㄓㄣ1",
+ "ㄓㄣ4"
+ ],
+ "鉂": [
+ "ㄕ3"
+ ],
+ "鉃": [
+ "ㄕ4",
+ "ㄗㄨ2"
+ ],
+ "鉄": [
+ "ㄓ2",
+ "ㄊㄧㄝ3"
+ ],
+ "鉅": [
+ "ㄐㄩ4"
+ ],
+ "鉆": [
+ "ㄔㄢ1",
+ "ㄑㄧㄢ2",
+ "ㄊㄧㄝ1"
+ ],
+ "鉇": [
+ "ㄕ1",
+ "ㄧ2"
+ ],
+ "鉈": [
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+ "ㄕㄜ2",
+ "ㄧ2",
+ "ㄊㄨㄛ2",
+ "ㄊㄚ1"
+ ],
+ "鉉": [
+ "ㄒㄩㄢ4"
+ ],
+ "鉊": [
+ "ㄓㄠ1"
+ ],
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+ "ㄅㄠ4",
+ "ㄆㄠ2",
+ "ㄅㄠ2"
+ ],
+ "鉌": [
+ "ㄏㄜ2"
+ ],
+ "鉍": [
+ "ㄅㄧ4",
+ "ㄙㄜ4"
+ ],
+ "鉎": [
+ "ㄕㄥ1"
+ ],
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+ "ㄔㄨ2",
+ "ㄗㄨ1",
+ "ㄓㄨ4",
+ "ㄐㄩ3",
+ "ㄔㄚ2",
+ "ㄒㄩ2"
+ ],
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+ "ㄗㄨ2"
+ ],
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+ "ㄅㄛ2"
+ ],
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+ "ㄓㄨ4"
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+ "ㄔ4"
+ ],
+ "鉔": [
+ "ㄗㄚ1"
+ ],
+ "鉕": [
+ "ㄆㄛ1",
+ "ㄆㄛ3"
+ ],
+ "鉖": [
+ "ㄊㄨㄥ2"
+ ],
+ "鉗": [
+ "ㄑㄧㄢ2",
+ "ㄢ1"
+ ],
+ "鉘": [
+ "ㄈㄨ2"
+ ],
+ "鉙": [
+ "ㄓㄞ3"
+ ],
+ "鉚": [
+ "ㄌㄧㄡ3",
+ "ㄇㄠ3"
+ ],
+ "鉛": [
+ "ㄑㄧㄢ1",
+ "ㄧㄢ2"
+ ],
+ "鉜": [
+ "ㄈㄨ2"
+ ],
+ "鉝": [
+ "ㄌㄧ4"
+ ],
+ "鉞": [
+ "ㄩㄝ4"
+ ],
+ "鉟": [
+ "ㄆㄧ1"
+ ],
+ "鉠": [
+ "ㄧㄤ1"
+ ],
+ "鉡": [
+ "ㄅㄢ4"
+ ],
+ "鉢": [
+ "ㄅㄛ1"
+ ],
+ "鉣": [
+ "ㄐㄧㄝ2"
+ ],
+ "鉤": [
+ "ㄍㄡ1",
+ "ㄍㄡ4",
+ "ㄑㄩ2"
+ ],
+ "鉥": [
+ "ㄕㄨ4",
+ "ㄒㄩ4"
+ ],
+ "鉦": [
+ "ㄓㄥ1"
+ ],
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+ "ㄇㄨ3"
+ ],
+ "鉨": [
+ "ㄒㄧ3",
+ "ㄋㄧ3",
+ "ㄋㄧㄝ3"
+ ],
+ "鉩": [
+ "ㄒㄧ3",
+ "ㄋㄧㄝ4"
+ ],
+ "鉪": [
+ "ㄉㄧ4"
+ ],
+ "鉫": [
+ "ㄐㄧㄚ1"
+ ],
+ "鉬": [
+ "ㄇㄨ4"
+ ],
+ "鉭": [
+ "ㄊㄢ3"
+ ],
+ "鉮": [
+ "ㄏㄨㄢ2",
+ "ㄕㄣ2",
+ "ㄕㄣ1"
+ ],
+ "鉯": [
+ "ㄧ3"
+ ],
+ "鉰": [
+ "ㄙ1"
+ ],
+ "鉱": [
+ "ㄎㄨㄤ4"
+ ],
+ "鉲": [
+ "ㄎㄚ3"
+ ],
+ "鉳": [
+ "ㄅㄟ3"
+ ],
+ "鉴": [
+ "ㄐㄧㄢ4"
+ ],
+ "鉵": [
+ "ㄊㄨㄥ2",
+ "ㄓㄨㄛ2"
+ ],
+ "鉶": [
+ "ㄒㄧㄥ2"
+ ],
+ "鉷": [
+ "ㄏㄨㄥ2"
+ ],
+ "鉸": [
+ "ㄐㄧㄠ3"
+ ],
+ "鉹": [
+ "ㄔ3"
+ ],
+ "鉺": [
+ "ㄦ4",
+ "ㄎㄥ1",
+ "ㄦ3"
+ ],
+ "鉻": [
+ "ㄌㄨㄛ4",
+ "ㄍㄜ1",
+ "ㄍㄜ4"
+ ],
+ "鉼": [
+ "ㄅㄧㄥ3",
+ "ㄆㄧㄥ2"
+ ],
+ "鉽": [
+ "ㄕ4"
+ ],
+ "鉾": [
+ "ㄇㄡ2",
+ "ㄇㄠ2"
+ ],
+ "鉿": [
+ "ㄐㄧㄚ1",
+ "ㄍㄜ1",
+ "ㄎㄜ1",
+ "ㄏㄚ1"
+ ],
+ "銀": [
+ "ㄧㄣ2"
+ ],
+ "銁": [
+ "ㄐㄩㄣ1"
+ ],
+ "銂": [
+ "ㄓㄡ1"
+ ],
+ "銃": [
+ "ㄔㄨㄥ4"
+ ],
+ "銄": [
+ "ㄒㄧㄤ3",
+ "ㄐㄩㄥ1"
+ ],
+ "銅": [
+ "ㄊㄨㄥ2"
+ ],
+ "銆": [
+ "ㄇㄛ4"
+ ],
+ "銇": [
+ "ㄌㄟ4"
+ ],
+ "銈": [
+ "ㄐㄧ1"
+ ],
+ "銉": [
+ "ㄩ4",
+ "ㄙ4"
+ ],
+ "銊": [
+ "ㄒㄩ4",
+ "ㄏㄨㄟ4"
+ ],
+ "銋": [
+ "ㄖㄣ2",
+ "ㄖㄣ3"
+ ],
+ "銌": [
+ "ㄗㄨㄣ4"
+ ],
+ "銍": [
+ "ㄓ4"
+ ],
+ "銎": [
+ "ㄑㄩㄥ2",
+ "ㄑㄩㄥ1"
+ ],
+ "銏": [
+ "ㄕㄢ4",
+ "ㄕㄨㄛ4"
+ ],
+ "銐": [
+ "ㄔ4",
+ "ㄌㄧ4"
+ ],
+ "銑": [
+ "ㄒㄧㄢ3",
+ "ㄒㄧㄢ1",
+ "ㄒㄧ3"
+ ],
+ "銒": [
+ "ㄒㄧㄥ2",
+ "ㄐㄧㄢ1"
+ ],
+ "銓": [
+ "ㄑㄩㄢ2"
+ ],
+ "銔": [
+ "ㄆㄧ1"
+ ],
+ "銕": [
+ "ㄊㄧㄝ3",
+ "ㄧ2"
+ ],
+ "銖": [
+ "ㄓㄨ1"
+ ],
+ "銗": [
+ "ㄒㄧㄤ4",
+ "ㄏㄡ2"
+ ],
+ "銘": [
+ "ㄇㄧㄥ2"
+ ],
+ "銙": [
+ "ㄎㄨㄚ3"
+ ],
+ "銚": [
+ "ㄧㄠ2",
+ "ㄉㄧㄠ4",
+ "ㄊㄧㄠ2",
+ "ㄑㄧㄠ1",
+ "ㄧㄠ4"
+ ],
+ "銛": [
+ "ㄒㄧㄢ1",
+ "ㄊㄧㄢ3",
+ "ㄍㄨㄚ1"
+ ],
+ "銜": [
+ "ㄒㄧㄢ2"
+ ],
+ "銝": [
+ "ㄒㄧㄡ1"
+ ],
+ "銞": [
+ "ㄐㄩㄣ1"
+ ],
+ "銟": [
+ "ㄔㄚ1"
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄕㄠ1"
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+ "ㄆㄧ2",
+ "ㄅㄟ1"
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+ ],
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+ "ㄑㄩㄥ1"
+ ],
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+ "ㄉㄧㄝ2"
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+ "ㄕㄜ2",
+ "ㄇㄛ4"
+ ],
+ "鞩": [
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+ ],
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+ "ㄇㄡ2"
+ ],
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+ "ㄑㄩ1"
+ ],
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+ "ㄐㄧㄢ4"
+ ],
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+ "ㄍㄡ1"
+ ],
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+ "ㄊㄚ4"
+ ],
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+ "ㄅㄨ4",
+ "ㄅㄞ4"
+ ],
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+ ],
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+ "ㄅㄧㄥ3"
+ ],
+ "鞹": [
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+ ],
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+ ],
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+ ],
+ "鞼": [
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+ "ㄏㄨㄟ4"
+ ],
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+ "ㄑㄧㄠ1",
+ "ㄐㄩㄝ1"
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+ "ㄊㄚ4"
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+ ],
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+ "ㄏㄨㄟ2"
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+ "ㄐㄩㄢ4"
+ ],
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+ ],
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+ "ㄕㄠ1"
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+ ],
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+ ],
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+ ],
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+ "ㄈㄨ2"
+ ],
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+ "ㄊㄠ4"
+ ],
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+ "ㄨㄣ1"
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+ ],
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+ ],
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+ "ㄒㄩㄝ1"
+ ],
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+ ],
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+ ],
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+ ],
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+ "韲": [
+ "ㄐㄧ1"
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+ "ㄧㄣ1"
+ ],
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+ ],
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+ "ㄩㄣ4"
+ ],
+ "韶": [
+ "ㄕㄠ2"
+ ],
+ "韷": [
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+ ],
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+ ],
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+ "ㄗㄚ1"
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+ "𠂧": [
+ "ㄕㄣ4"
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+ ],
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+ ],
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+ ],
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+ "ㄐㄧㄢ4"
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+ "ㄑㄧ4"
+ ],
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+ "ㄇㄧㄣ3"
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+ "𠊣": [
+ "ㄓㄡ4"
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+ "ㄓ4"
+ ],
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+ "ㄋㄠ3"
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+ "𠊧": [
+ "ㄅㄧㄥ4"
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+ "ㄓㄨㄢ4"
+ ],
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+ "ㄕㄨ4"
+ ],
+ "𠊫": [
+ "ㄒㄩㄣ4",
+ "ㄑㄩㄥ2"
+ ],
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+ "ㄐㄩㄝ2"
+ ],
+ "𠊭": [
+ "ㄑㄧㄢ3"
+ ],
+ "𠊰": [
+ "ㄍㄨㄚ3"
+ ],
+ "𠊲": [
+ "ㄊㄨ1"
+ ],
+ "𠊶": [
+ "ㄧㄥ4"
+ ],
+ "𠊷": [
+ "ㄓ4"
+ ],
+ "𠊾": [
+ "ㄎㄨㄟ2"
+ ],
+ "𠋆": [
+ "ㄔㄣ4"
+ ],
+ "𠋖": [
+ "ㄌㄧㄢ4"
+ ],
+ "𠋗": [
+ "ㄧㄚ1"
+ ],
+ "𠋜": [
+ "ㄍㄨㄛ4"
+ ],
+ "𠋝": [
+ "ㄇㄧㄠ3"
+ ],
+ "𠋞": [
+ "ㄕㄜ2"
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+ "𠋟": [
+ "ㄩ3"
+ ],
+ "𠋡": [
+ "ㄙ4"
+ ],
+ "𠋢": [
+ "ㄙㄡ3",
+ "ㄓㄡ4"
+ ],
+ "𠋤": [
+ "ㄓ4"
+ ],
+ "𠋧": [
+ "ㄑㄧㄝ1"
+ ],
+ "𠋩": [
+ "ㄈㄨ4"
+ ],
+ "𠋬": [
+ "ㄐㄩ2"
+ ],
+ "𠋭": [
+ "ㄅㄟ4"
+ ],
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+ "ㄅㄧ4"
+ ],
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+ "ㄙㄨㄛ3"
+ ],
+ "𠋵": [
+ "ㄑㄧㄢ3"
+ ],
+ "𠋶": [
+ "ㄇㄧㄥ3"
+ ],
+ "𠋷": [
+ "ㄔㄢ3"
+ ],
+ "𠋺": [
+ "ㄙㄠ1"
+ ],
+ "𠋻": [
+ "ㄐㄧ1"
+ ],
+ "𠌕": [
+ "ㄍㄨㄥ4"
+ ],
+ "𠌖": [
+ "ㄑㄩㄥ2"
+ ],
+ "𠌚": [
+ "ㄋㄨㄥ4",
+ "ㄖㄨㄥ4"
+ ],
+ "𠌞": [
+ "ㄙㄡ3"
+ ],
+ "𠌟": [
+ "ㄙㄡ3"
+ ],
+ "𠌠": [
+ "ㄧㄠ2"
+ ],
+ "𠌪": [
+ "ㄔㄡ1",
+ "ㄊㄠ1"
+ ],
+ "𠌭": [
+ "ㄕㄨㄞ4"
+ ],
+ "𠌮": [
+ "ㄓㄜ1"
+ ],
+ "𠌯": [
+ "ㄌㄧ4",
+ "ㄌㄧ2"
+ ],
+ "𠌰": [
+ "ㄍㄞ4"
+ ],
+ "𠌱": [
+ "ㄙㄨㄟ1"
+ ],
+ "𠌲": [
+ "ㄓㄢ1"
+ ],
+ "𠌴": [
+ "ㄓㄨㄤ4"
+ ],
+ "𠌽": [
+ "ㄈㄨ4"
+ ],
+ "𠍃": [
+ "ㄐㄧ1"
+ ],
+ "𠍄": [
+ "ㄉㄡ1"
+ ],
+ "𠍗": [
+ "ㄏㄨㄟ4"
+ ],
+ "𠍚": [
+ "ㄐㄧㄢ3"
+ ],
+ "𠍛": [
+ "ㄧㄢ3"
+ ],
+ "𠍜": [
+ "ㄓ4"
+ ],
+ "𠍨": [
+ "ㄇㄟ3"
+ ],
+ "𠍩": [
+ "ㄧㄠ4"
+ ],
+ "𠍪": [
+ "ㄉㄧ1"
+ ],
+ "𠍫": [
+ "ㄧ2"
+ ],
+ "𠍯": [
+ "ㄅㄧㄝ2"
+ ],
+ "𠍲": [
+ "ㄑㄩ2"
+ ],
+ "𠍳": [
+ "ㄧ4"
+ ],
+ "𠍵": [
+ "ㄧㄤ4"
+ ],
+ "𠍹": [
+ "ㄓㄚ2"
+ ],
+ "𠍽": [
+ "ㄕㄚ4"
+ ],
+ "𠎙": [
+ "ㄌㄞ2"
+ ],
+ "𠎮": [
+ "ㄐㄩㄝ2"
+ ],
+ "𠎰": [
+ "ㄑㄧ1"
+ ],
+ "𠎳": [
+ "ㄩ2"
+ ],
+ "𠎶": [
+ "ㄗㄞ3"
+ ],
+ "𠎷": [
+ "ㄙㄚ4"
+ ],
+ "𠎸": [
+ "ㄙㄜ4"
+ ],
+ "𠎻": [
+ "ㄉㄨㄣ4"
+ ],
+ "𠎿": [
+ "ㄐㄧㄝ3"
+ ],
+ "𠏀": [
+ "ㄎㄜ1"
+ ],
+ "𠏃": [
+ "ㄩㄝ1"
+ ],
+ "𠏇": [
+ "ㄐㄧㄢ3"
+ ],
+ "𠏈": [
+ "ㄧㄠ2"
+ ],
+ "𠏓": [
+ "ㄒㄧㄢ1"
+ ],
+ "𠏕": [
+ "ㄒㄧㄠ4"
+ ],
+ "𠏖": [
+ "ㄑㄧㄠ1"
+ ],
+ "𠏚": [
+ "ㄩ4"
+ ],
+ "𠏛": [
+ "ㄑㄩ2"
+ ],
+ "𠏡": [
+ "ㄒㄧㄢ1",
+ "ㄌㄧㄥ2"
+ ],
+ "𠏢": [
+ "ㄌㄨㄛ4"
+ ],
+ "𠏤": [
+ "ㄍㄨㄤ3"
+ ],
+ "𠏧": [
+ "ㄔㄥ1"
+ ],
+ "𠏨": [
+ "ㄔㄨㄤ3"
+ ],
+ "𠏩": [
+ "ㄧ2"
+ ],
+ "𠏫": [
+ "ㄓㄥ3"
+ ],
+ "𠏭": [
+ "ㄗㄨㄥ4"
+ ],
+ "𠏮": [
+ "ㄉㄨㄟ4"
+ ],
+ "𠏰": [
+ "ㄓㄞ3"
+ ],
+ "𠏿": [
+ "ㄈㄟ3"
+ ],
+ "𠐀": [
+ "ㄧ2"
+ ],
+ "𠐁": [
+ "ㄇㄥ2"
+ ],
+ "𠐈": [
+ "ㄅㄧㄢ1",
+ "ㄆㄧㄢ2"
+ ],
+ "𠐉": [
+ "ㄐㄧㄝ2"
+ ],
+ "𠐊": [
+ "ㄕㄨ4"
+ ],
+ "𠐋": [
+ "ㄌㄧㄠ2"
+ ],
+ "𠐌": [
+ "ㄅㄧ3",
+ "ㄅㄚ4"
+ ],
+ "𠐍": [
+ "ㄙㄨ2"
+ ],
+ "𠐑": [
+ "ㄉㄧ4"
+ ],
+ "𠐡": [
+ "ㄅㄟ4"
+ ],
+ "𠐢": [
+ "ㄨㄣ4"
+ ],
+ "𠐧": [
+ "ㄇㄥ2"
+ ],
+ "𠐩": [
+ "ㄔㄢ3"
+ ],
+ "𠐵": [
+ "ㄉㄠ3"
+ ],
+ "𠐺": [
+ "ㄆㄧㄣ2"
+ ],
+ "𠐻": [
+ "ㄐㄧㄢ3"
+ ],
+ "𠐼": [
+ "ㄌㄧㄣ4"
+ ],
+ "𠐽": [
+ "ㄍㄨㄟ4",
+ "ㄍㄨㄟ1"
+ ],
+ "𠐾": [
+ "ㄑㄧ1"
+ ],
+ "𠐿": [
+ "ㄏㄨㄥ1"
+ ],
+ "𠑃": [
+ "ㄐㄧ2"
+ ],
+ "𠑄": [
+ "ㄒㄧㄝ4"
+ ],
+ "𠑅": [
+ "ㄓㄥ1"
+ ],
+ "𠑆": [
+ "ㄔㄢ3"
+ ],
+ "𠑐": [
+ "ㄧㄠ2"
+ ],
+ "𠑑": [
+ "ㄔㄢ3"
+ ],
+ "𠑘": [
+ "ㄉㄧㄢ1"
+ ],
+ "𠑙": [
+ "ㄔㄨㄥ4"
+ ],
+ "𠑚": [
+ "ㄋㄟ2"
+ ],
+ "𠑛": [
+ "ㄋㄟ2"
+ ],
+ "𠑞": [
+ "ㄓㄞ4"
+ ],
+ "𠑟": [
+ "ㄅㄧㄢ1",
+ "ㄆㄧㄢ2"
+ ],
+ "𠑡": [
+ "ㄔㄢ3"
+ ],
+ "𠑪": [
+ "ㄒㄧㄠ1"
+ ],
+ "𠑯": [
+ "ㄘㄨ4"
+ ],
+ "𠑰": [
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+ ],
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+ ],
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+ "ㄑㄧㄥ1"
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+ "ㄍㄨ3"
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+ "ㄨ4"
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+ "ㄩㄢ3"
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+ "ㄅㄧㄥ3"
+ ],
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+ "ㄨㄢ2"
+ ],
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+ "ㄋㄧㄠ3",
+ "ㄋㄧ2"
+ ],
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+ "ㄌㄧㄢ4"
+ ],
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+ "ㄖㄠ3"
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+ "ㄈㄢ4"
+ ],
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+ "ㄉㄧ2"
+ ],
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+ "ㄉㄢ1"
+ ],
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+ "ㄧ4"
+ ],
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+ "ㄒㄧㄢ2"
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+ "ㄌㄢ2"
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+ "ㄈㄨ4"
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+ "ㄊㄠ1"
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+ "ㄐㄧ2"
+ ],
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+ "ㄐㄧㄝ4"
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+ "ㄓㄚ2"
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+ "ㄕ1"
+ ],
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+ "ㄑㄧ2"
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+ "ㄅㄧㄢ3"
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+ "ㄌㄢ3"
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+ "ㄌㄧㄣ3"
+ ],
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+ "ㄓ4"
+ ],
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+ "ㄅㄧ4",
+ "ㄔㄥ2"
+ ],
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+ "ㄕㄥ4"
+ ],
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+ "ㄕㄥ4"
+ ],
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+ ],
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+ "ㄅㄧㄠ1"
+ ],
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+ "ㄒㄧ1"
+ ],
+ "𠔉": [
+ "ㄐㄩㄢ4"
+ ],
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+ "ㄐㄧ1",
+ "ㄒㄧㄣ4"
+ ],
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+ "ㄒㄧ1"
+ ],
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+ "ㄑㄧㄣ3"
+ ],
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+ "ㄏㄞ4"
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+ "ㄌㄨㄣ2"
+ ],
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+ "ㄩㄝ4"
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+ "ㄌㄧㄢ2"
+ ],
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+ "ㄅㄢ1"
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+ "ㄏㄥ2"
+ ],
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+ "ㄑㄧ1"
+ ],
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+ "ㄑㄧㄢ1"
+ ],
+ "𠔻": [
+ "ㄓㄥ4"
+ ],
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+ "ㄇㄠ3"
+ ],
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+ "ㄘㄨㄥ2"
+ ],
+ "𠕄": [
+ "ㄋㄚ4"
+ ],
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+ "ㄊㄧㄥ3"
+ ],
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+ "ㄗㄨㄥ1"
+ ],
+ "𠕕": [
+ "ㄐㄩㄥ1"
+ ],
+ "𠕖": [
+ "ㄓㄠ3"
+ ],
+ "𠕟": [
+ "ㄋㄧㄢ3"
+ ],
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+ "ㄔㄥ2"
+ ],
+ "𠕣": [
+ "ㄑㄧㄚ4"
+ ],
+ "𠕦": [
+ "ㄩ4"
+ ],
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+ "ㄐㄧㄠ3"
+ ],
+ "𠕭": [
+ "ㄓㄠ4"
+ ],
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+ "ㄉㄧ2"
+ ],
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+ "ㄐㄧㄡ1"
+ ],
+ "𠕸": [
+ "ㄙㄨㄟ3"
+ ],
+ "𠕻": [
+ "ㄧㄠ1"
+ ],
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+ "ㄨㄤ1"
+ ],
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+ "ㄌㄧㄠ2"
+ ],
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+ "ㄊㄨㄥ2"
+ ],
+ "𠖆": [
+ "ㄇㄥ4"
+ ],
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+ "ㄧㄡ3"
+ ],
+ "𠖓": [
+ "ㄙ1"
+ ],
+ "𠖛": [
+ "ㄌㄡ4"
+ ],
+ "𠖟": [
+ "ㄧㄣ1"
+ ],
+ "𠖥": [
+ "ㄔㄨㄥ3"
+ ],
+ "𠖫": [
+ "ㄍㄢ3"
+ ],
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+ "ㄐㄧㄡ1"
+ ],
+ "𠖶": [
+ "ㄑㄧㄣ4"
+ ],
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+ "ㄐㄩㄥ3"
+ ],
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+ "ㄒㄧㄝ2",
+ "ㄒㄧㄚ2"
+ ],
+ "𠗂": [
+ "ㄏㄜ4"
+ ],
+ "𠗆": [
+ "ㄊㄠ1"
+ ],
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+ "ㄑㄧㄡ2"
+ ],
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+ "ㄒㄧㄝ2"
+ ],
+ "𠗊": [
+ "ㄐㄧㄥ4"
+ ],
+ "𠗋": [
+ "ㄋㄧㄢ3"
+ ],
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+ "ㄐㄧㄥ4"
+ ],
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+ "ㄐㄧ2"
+ ],
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+ "ㄊㄧㄢ3"
+ ],
+ "𠗚": [
+ "ㄘㄨㄟ4"
+ ],
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+ "ㄉㄧㄝ2"
+ ],
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+ "ㄑㄧㄥ3"
+ ],
+ "𠗥": [
+ "ㄆㄧㄥ4"
+ ],
+ "𠗦": [
+ "ㄆㄧㄥ2"
+ ],
+ "𠗨": [
+ "ㄉㄧㄝ2"
+ ],
+ "𠗩": [
+ "ㄌㄡ4"
+ ],
+ "𠗳": [
+ "ㄌㄧㄢ3"
+ ],
+ "𠗴": [
+ "ㄏㄢ2"
+ ],
+ "𠗵": [
+ "ㄆㄤ1"
+ ],
+ "𠗶": [
+ "ㄊㄤ2"
+ ],
+ "𠗺": [
+ "ㄧ2"
+ ],
+ "𠗻": [
+ "ㄒㄩㄢ2"
+ ],
+ "𠗼": [
+ "ㄙㄨㄛ4"
+ ],
+ "𠗽": [
+ "ㄌㄧㄡ2"
+ ],
+ "𠗾": [
+ "ㄕㄨㄤ3"
+ ],
+ "𠗿": [
+ "ㄕㄣ4"
+ ],
+ "𠘁": [
+ "ㄅㄨ4"
+ ],
+ "𠘂": [
+ "ㄙㄡ1"
+ ],
+ "𠘅": [
+ "ㄑㄧㄣ2"
+ ],
+ "𠘆": [
+ "ㄕㄣ3"
+ ],
+ "𠘊": [
+ "ㄋㄨㄥ4"
+ ],
+ "𠘋": [
+ "ㄊㄧㄥ3"
+ ],
+ "𠘌": [
+ "ㄐㄧㄤ1"
+ ],
+ "𠘕": [
+ "ㄒㄧ1"
+ ],
+ "𠘖": [
+ "ㄓ4"
+ ],
+ "𠘝": [
+ "ㄌㄞ4"
+ ],
+ "𠘞": [
+ "ㄌㄧ4"
+ ],
+ "𠘟": [
+ "ㄌㄧ4"
+ ],
+ "𠘢": [
+ "ㄏㄜ2"
+ ],
+ "𠘣": [
+ "ㄐㄧㄠ4"
+ ],
+ "𠘥": [
+ "ㄧㄢ2"
+ ],
+ "𠘧": [
+ "ㄕㄨ1"
+ ],
+ "𠘪": [
+ "ㄕ3"
+ ],
+ "𠘱": [
+ "ㄓㄣ3"
+ ],
+ "𠘳": [
+ "ㄧㄡ1"
+ ],
+ "𠘺": [
+ "ㄙㄨㄛ4"
+ ],
+ "𠘻": [
+ "ㄨ2"
+ ],
+ "𠙁": [
+ "ㄔㄤ2"
+ ],
+ "𠙂": [
+ "ㄘㄨㄥ2"
+ ],
+ "𠙆": [
+ "ㄐㄩ4"
+ ],
+ "𠙎": [
+ "ㄕㄨ1"
+ ],
+ "𠙔": [
+ "ㄐㄧㄡ4"
+ ],
+ "𠙕": [
+ "ㄨㄟ2"
+ ],
+ "𠙞": [
+ "ㄏㄨㄛ4"
+ ],
+ "𠙤": [
+ "ㄐㄧㄝ1"
+ ],
+ "𠙬": [
+ "ㄗㄠ3"
+ ],
+ "𠙶": [
+ "ㄡ3"
+ ],
+ "𠙼": [
+ "ㄍㄨㄚ3"
+ ],
+ "𠚃": [
+ "ㄏㄠ2"
+ ],
+ "𠚄": [
+ "ㄌㄧ3"
+ ],
+ "𠚅": [
+ "ㄓ4"
+ ],
+ "𠚆": [
+ "ㄒㄧㄢ4"
+ ],
+ "𠚉": [
+ "ㄅㄨ1"
+ ],
+ "𠚊": [
+ "ㄔㄤ4"
+ ],
+ "𠚓": [
+ "ㄩㄣ1"
+ ],
+ "𠚔": [
+ "ㄏㄜ2"
+ ],
+ "𠚜": [
+ "ㄊㄠ1"
+ ],
+ "𠚠": [
+ "ㄅㄧㄠ1"
+ ],
+ "𠚥": [
+ "ㄉㄧㄠ1"
+ ],
+ "𠚧": [
+ "ㄦ4"
+ ],
+ "𠚨": [
+ "ㄐㄧㄡ1"
+ ],
+ "𠚭": [
+ "ㄉㄧ4"
+ ],
+ "𠚮": [
+ "ㄧ4"
+ ],
+ "𠚯": [
+ "ㄎㄨㄣ1"
+ ],
+ "𠚱": [
+ "ㄓㄜ2"
+ ],
+ "𠚳": [
+ "ㄎㄨㄛ4"
+ ],
+ "𠚴": [
+ "ㄓㄡ1"
+ ],
+ "𠚵": [
+ "ㄐㄩ4"
+ ],
+ "𠚹": [
+ "ㄕㄢ4"
+ ],
+ "𠚺": [
+ "ㄕㄚ4"
+ ],
+ "𠚻": [
+ "ㄉㄧㄠ1"
+ ],
+ "𠚼": [
+ "ㄅㄢ1"
+ ],
+ "𠚽": [
+ "ㄐㄧ1"
+ ],
+ "𠛀": [
+ "ㄓㄨㄥ1"
+ ],
+ "𠛃": [
+ "ㄧ2"
+ ],
+ "𠛅": [
+ "ㄎㄡ1"
+ ],
+ "𠛆": [
+ "ㄨ1"
+ ],
+ "𠛊": [
+ "ㄍㄜ1"
+ ],
+ "𠛋": [
+ "ㄅㄚ1"
+ ],
+ "𠛎": [
+ "ㄍㄡ1"
+ ],
+ "𠛑": [
+ "ㄒㄧㄢ2"
+ ],
+ "𠛒": [
+ "ㄍㄨㄚ1"
+ ],
+ "𠛓": [
+ "ㄌㄧㄡ3"
+ ],
+ "𠛔": [
+ "ㄔ3"
+ ],
+ "𠛕": [
+ "ㄍㄨㄞ1"
+ ],
+ "𠛖": [
+ "ㄔㄨㄢ1"
+ ],
+ "𠛘": [
+ "ㄌㄧ2"
+ ],
+ "𠛙": [
+ "ㄘㄨ4"
+ ],
+ "𠛚": [
+ "ㄕㄨㄚ1"
+ ],
+ "𠛡": [
+ "ㄅㄧ3"
+ ],
+ "𠛥": [
+ "ㄅㄧㄥ3"
+ ],
+ "𠛦": [
+ "ㄌㄧ4"
+ ],
+ "𠛩": [
+ "ㄐㄧㄡ3"
+ ],
+ "𠛪": [
+ "ㄊㄧㄠ1",
+ "ㄉㄧㄠ1"
+ ],
+ "𠛫": [
+ "ㄉㄨㄛ3"
+ ],
+ "𠛭": [
+ "ㄧㄢ1",
+ "ㄩㄢ1"
+ ],
+ "𠛮": [
+ "ㄑㄩㄢ1"
+ ],
+ "𠛱": [
+ "ㄌㄧㄝ4",
+ "ㄗㄚ1"
+ ],
+ "𠛳": [
+ "ㄎㄜ4",
+ "ㄏㄜ2"
+ ],
+ "𠛵": [
+ "ㄍㄣ1"
+ ],
+ "𠛶": [
+ "ㄓㄣ1"
+ ],
+ "𠛸": [
+ "ㄈㄣ2"
+ ],
+ "𠜁": [
+ "ㄧ2"
+ ],
+ "𠜃": [
+ "ㄐㄧㄡ4"
+ ],
+ "𠜄": [
+ "ㄒㄩ4"
+ ],
+ "𠜅": [
+ "ㄐㄧㄠ3"
+ ],
+ "𠜈": [
+ "ㄌㄩ4"
+ ],
+ "𠜉": [
+ "ㄐㄧㄡ3"
+ ],
+ "𠜋": [
+ "ㄔㄡ3"
+ ],
+ "𠜎": [
+ "ㄒㄧㄢ4"
+ ],
+ "𠜐": [
+ "ㄎㄨㄞ4"
+ ],
+ "𠜑": [
+ "ㄉㄨㄟ4"
+ ],
+ "𠜖": [
+ "ㄌㄨㄛ1"
+ ],
+ "𠜗": [
+ "ㄒㄧ1",
+ "ㄒㄧ4"
+ ],
+ "𠜘": [
+ "ㄑㄧㄣ4"
+ ],
+ "𠜙": [
+ "ㄅㄨ4"
+ ],
+ "𠜤": [
+ "ㄑㄧㄚ4"
+ ],
+ "𠜱": [
+ "ㄆㄧ1"
+ ],
+ "𠜲": [
+ "ㄧㄚ1"
+ ],
+ "𠜳": [
+ "ㄅㄥ1"
+ ],
+ "𠜴": [
+ "ㄍㄨㄛ3"
+ ],
+ "𠜵": [
+ "ㄍㄨㄚ1"
+ ],
+ "𠜹": [
+ "ㄐㄩ2"
+ ],
+ "𠜼": [
+ "ㄑㄧㄚ1"
+ ],
+ "𠜾": [
+ "ㄐㄩㄝ2",
+ "ㄍㄨㄟ4"
+ ],
+ "𠝄": [
+ "ㄌㄧ4"
+ ],
+ "𠝐": [
+ "ㄏㄨㄚ1"
+ ],
+ "𠝑": [
+ "ㄐㄧㄠ1"
+ ],
+ "𠝘": [
+ "ㄑㄧㄚ4"
+ ],
+ "𠝚": [
+ "ㄓㄚ2",
+ "ㄓㄜ2"
+ ],
+ "𠝛": [
+ "ㄑㄧㄚ1"
+ ],
+ "𠝝": [
+ "ㄓㄜ2",
+ "ㄓㄚ2"
+ ],
+ "𠝞": [
+ "ㄔㄚ1"
+ ],
+ "𠝟": [
+ "ㄧㄥ3"
+ ],
+ "𠝢": [
+ "ㄧㄢ1"
+ ],
+ "𠝤": [
+ "ㄔㄨㄥ1"
+ ],
+ "𠝨": [
+ "ㄔ3"
+ ],
+ "𠝪": [
+ "ㄨㄢ1"
+ ],
+ "𠝬": [
+ "ㄙㄡ1"
+ ],
+ "𠝲": [
+ "ㄎㄢ3"
+ ],
+ "𠝳": [
+ "ㄩㄢ2"
+ ],
+ "𠝽": [
+ "ㄔㄡ2"
+ ],
+ "𠝿": [
+ "ㄙㄨㄛ3"
+ ],
+ "𠞀": [
+ "ㄊㄨ1"
+ ],
+ "𠞃": [
+ "ㄓㄜ2"
+ ],
+ "𠞄": [
+ "ㄊㄧ1",
+ "ㄔ3"
+ ],
+ "𠞆": [
+ "ㄨ1"
+ ],
+ "𠞈": [
+ "ㄉㄚ1"
+ ],
+ "𠞉": [
+ "ㄌㄧ4"
+ ],
+ "𠞊": [
+ "ㄔㄚ1",
+ "ㄔㄞ1",
+ "ㄔㄚ2"
+ ],
+ "𠞕": [
+ "ㄖㄨㄥ2"
+ ],
+ "𠞖": [
+ "ㄍㄨㄥ4"
+ ],
+ "𠞗": [
+ "ㄑㄩㄝ4"
+ ],
+ "𠞙": [
+ "ㄌㄧ2"
+ ],
+ "𠞞": [
+ "ㄊㄠ1"
+ ],
+ "𠞤": [
+ "ㄌㄧ4"
+ ],
+ "𠞧": [
+ "ㄇㄧ2"
+ ],
+ "𠞩": [
+ "ㄔ4",
+ "ㄕㄨㄞ4"
+ ],
+ "𠞬": [
+ "ㄍㄨㄣ4"
+ ],
+ "𠞭": [
+ "ㄌㄡ2",
+ "ㄌㄡ4"
+ ],
+ "𠞮": [
+ "ㄔㄨㄤ3"
+ ],
+ "𠞯": [
+ "ㄙㄨㄛ3"
+ ],
+ "𠞰": [
+ "ㄐㄧㄠ3"
+ ],
+ "𠞱": [
+ "ㄐㄧㄣ4"
+ ],
+ "𠞵": [
+ "ㄈㄚ2"
+ ],
+ "𠞶": [
+ "ㄓㄞ1"
+ ],
+ "𠞾": [
+ "ㄐㄧㄣ4"
+ ],
+ "𠞿": [
+ "ㄘㄨㄟ4"
+ ],
+ "𠟂": [
+ "ㄘㄥ4"
+ ],
+ "𠟃": [
+ "ㄗㄨㄣ3"
+ ],
+ "𠟅": [
+ "ㄓㄠ4",
+ "ㄖ4",
+ "ㄓ4"
+ ],
+ "𠟈": [
+ "ㄆㄧㄝ1"
+ ],
+ "𠟉": [
+ "ㄓㄢ3",
+ "ㄔㄢ4"
+ ],
+ "𠟊": [
+ "ㄒㄧ1"
+ ],
+ "𠟋": [
+ "ㄧㄠ4"
+ ],
+ "𠟌": [
+ "ㄈㄨ3",
+ "ㄆㄡ3"
+ ],
+ "𠟍": [
+ "ㄔㄨㄥ1"
+ ],
+ "𠟓": [
+ "ㄘㄨㄟ4"
+ ],
+ "𠟗": [
+ "ㄍㄨㄚ1"
+ ],
+ "𠟣": [
+ "ㄐㄧ1"
+ ],
+ "𠟦": [
+ "ㄙㄜ4"
+ ],
+ "𠟧": [
+ "ㄓㄢ1"
+ ],
+ "𠟨": [
+ "ㄌㄧㄥ4",
+ "ㄌㄧㄥ2"
+ ],
+ "𠟩": [
+ "ㄙㄜ4"
+ ],
+ "𠟪": [
+ "ㄧㄝ4"
+ ],
+ "𠟰": [
+ "ㄐㄩ1"
+ ],
+ "𠟶": [
+ "ㄊㄨ1"
+ ],
+ "𠟺": [
+ "ㄖㄨ2",
+ "ㄖㄨㄢ3"
+ ],
+ "𠟻": [
+ "ㄗㄜ2",
+ "ㄅㄞ4"
+ ],
+ "𠟼": [
+ "ㄏㄨㄢ2"
+ ],
+ "𠠁": [
+ "ㄒㄧㄢ3"
+ ],
+ "𠠃": [
+ "ㄑㄧㄢ1"
+ ],
+ "𠠄": [
+ "ㄓㄠ4"
+ ],
+ "𠠋": [
+ "ㄘㄢ2"
+ ],
+ "𠠎": [
+ "ㄎㄨㄛ4"
+ ],
+ "𠠏": [
+ "ㄌㄧ4"
+ ],
+ "𠠐": [
+ "ㄖㄡ2"
+ ],
+ "𠠔": [
+ "ㄉㄨ2"
+ ],
+ "𠠗": [
+ "ㄌㄧㄝ4"
+ ],
+ "𠠜": [
+ "ㄧㄥ1"
+ ],
+ "𠠝": [
+ "ㄌㄧ4"
+ ],
+ "𠠠": [
+ "ㄉㄨ2"
+ ],
+ "𠠢": [
+ "ㄌㄧㄥ2"
+ ],
+ "𠠪": [
+ "ㄨㄢ1"
+ ],
+ "𠠯": [
+ "ㄉㄧㄝ2"
+ ],
+ "𠠳": [
+ "ㄐㄧㄡ1"
+ ],
+ "𠠵": [
+ "ㄌㄧ4"
+ ],
+ "𠠶": [
+ "ㄎㄨ1"
+ ],
+ "𠠷": [
+ "ㄎㄥ1"
+ ],
+ "𠠹": [
+ "ㄓㄣ3"
+ ],
+ "𠡀": [
+ "ㄏㄜ4"
+ ],
+ "𠡂": [
+ "ㄅㄧ4",
+ "ㄈㄨ2"
+ ],
+ "𠡄": [
+ "ㄆㄧ1"
+ ],
+ "𠡊": [
+ "ㄏㄤ1"
+ ],
+ "𠡑": [
+ "ㄓㄨㄛ2"
+ ],
+ "𠡒": [
+ "ㄉㄨㄟ3"
+ ],
+ "𠡔": [
+ "ㄧ4"
+ ],
+ "𠡜": [
+ "ㄎㄜ4"
+ ],
+ "𠡝": [
+ "ㄧ4"
+ ],
+ "𠡞": [
+ "ㄇㄛ4"
+ ],
+ "𠡡": [
+ "ㄘㄢ2"
+ ],
+ "𠡣": [
+ "ㄍㄥ3"
+ ],
+ "𠡤": [
+ "ㄎㄜ4"
+ ],
+ "𠡥": [
+ "ㄕ4"
+ ],
+ "𠡭": [
+ "ㄌㄧㄥ2",
+ "ㄌㄧㄥ4"
+ ],
+ "𠡮": [
+ "ㄅㄥ1",
+ "ㄎㄥ1"
+ ],
+ "𠡱": [
+ "ㄉㄨㄢ4"
+ ],
+ "𠡶": [
+ "ㄐㄩㄢ1"
+ ],
+ "𠡷": [
+ "ㄋㄠ3"
+ ],
+ "𠡸": [
+ "ㄗ3"
+ ],
+ "𠡻": [
+ "ㄗㄨㄥ4"
+ ],
+ "𠢃": [
+ "ㄊㄤ2"
+ ],
+ "𠢆": [
+ "ㄒㄧㄚ2"
+ ],
+ "𠢇": [
+ "ㄏㄢ4"
+ ],
+ "𠢌": [
+ "ㄌㄩㄝ4"
+ ],
+ "𠢍": [
+ "ㄑㄧㄢ2"
+ ],
+ "𠢓": [
+ "ㄇㄛ4"
+ ],
+ "𠢔": [
+ "ㄡ1"
+ ],
+ "𠢕": [
+ "ㄏㄠ2"
+ ],
+ "𠢙": [
+ "ㄓㄚ2"
+ ],
+ "𠢚": [
+ "ㄐㄩㄢ4"
+ ],
+ "𠢛": [
+ "ㄘㄨㄥ2"
+ ],
+ "𠢠": [
+ "ㄌㄧ4",
+ "ㄐㄧ2"
+ ],
+ "𠢡": [
+ "ㄓㄚ2"
+ ],
+ "𠢢": [
+ "ㄧㄡ3"
+ ],
+ "𠢣": [
+ "ㄉㄧㄢ4"
+ ],
+ "𠢤": [
+ "ㄐㄩㄝ2"
+ ],
+ "𠢥": [
+ "ㄅㄟ4"
+ ],
+ "𠢩": [
+ "ㄧㄠ3"
+ ],
+ "𠢪": [
+ "ㄆㄧㄝ1"
+ ],
+ "𠢱": [
+ "ㄐㄧㄣ4"
+ ],
+ "𠢲": [
+ "ㄎㄞ3",
+ "ㄒㄧㄝ4"
+ ],
+ "𠢳": [
+ "ㄙㄜ4"
+ ],
+ "𠢴": [
+ "ㄧㄤ3"
+ ],
+ "𠢵": [
+ "ㄐㄧㄣ4"
+ ],
+ "𠢹": [
+ "ㄎㄜ4"
+ ],
+ "𠣄": [
+ "ㄔㄢ1"
+ ],
+ "𠣇": [
+ "ㄋㄧㄢ3"
+ ],
+ "𠣉": [
+ "ㄨㄢ4"
+ ],
+ "𠣊": [
+ "ㄌㄩ4"
+ ],
+ "𠣐": [
+ "ㄩㄣ2"
+ ],
+ "𠣑": [
+ "ㄧㄠ1"
+ ],
+ "𠣒": [
+ "ㄅㄠ1"
+ ],
+ "𠣕": [
+ "ㄐㄩㄣ1"
+ ],
+ "𠣖": [
+ "ㄒㄩㄢ2"
+ ],
+ "𠣘": [
+ "ㄓㄡ1"
+ ],
+ "𠣠": [
+ "ㄎㄨㄟ4"
+ ],
+ "𠣡": [
+ "ㄈㄥ4"
+ ],
+ "𠣪": [
+ "ㄑㄩ2"
+ ],
+ "𠣫": [
+ "ㄕㄠ4"
+ ],
+ "𠣬": [
+ "ㄙㄨㄣ3"
+ ],
+ "𠣰": [
+ "ㄉㄨ1"
+ ],
+ "𠣲": [
+ "ㄎㄨㄞ3"
+ ],
+ "𠣳": [
+ "ㄆㄠ4"
+ ],
+ "𠣺": [
+ "ㄅㄠ4"
+ ],
+ "𠣾": [
+ "ㄈㄨ4"
+ ],
+ "𠣿": [
+ "ㄐㄧㄡ4"
+ ],
+ "𠤀": [
+ "ㄖㄢ2"
+ ],
+ "𠤄": [
+ "ㄐㄩ1"
+ ],
+ "𠤊": [
+ "ㄑㄩㄥ2"
+ ],
+ "𠤍": [
+ "ㄓㄡ1"
+ ],
+ "𠤎": [
+ "ㄏㄨㄚ4"
+ ],
+ "𠤏": [
+ "ㄅㄠ3"
+ ],
+ "𠤕": [
+ "ㄧ2",
+ "ㄒㄧㄢ2"
+ ],
+ "𠤗": [
+ "ㄧ2"
+ ],
+ "𠤘": [
+ "ㄧ2",
+ "ㄧ3"
+ ],
+ "𠤝": [
+ "ㄇㄠ4"
+ ],
+ "𠤦": [
+ "ㄖㄨㄢ3",
+ "ㄖㄨ2"
+ ],
+ "𠤫": [
+ "ㄘ2"
+ ],
+ "𠤮": [
+ "ㄏㄢ2"
+ ],
+ "𠤰": [
+ "ㄘㄨㄥ2",
+ "ㄒㄩㄢ2"
+ ],
+ "𠤴": [
+ "ㄒㄧ4"
+ ],
+ "𠤹": [
+ "ㄑㄩㄢ2"
+ ],
+ "𠤺": [
+ "ㄊㄧㄠ2"
+ ],
+ "𠤼": [
+ "ㄉㄧㄠ4"
+ ],
+ "𠤾": [
+ "ㄏㄢ2"
+ ],
+ "𠥇": [
+ "ㄧㄝ3"
+ ],
+ "𠥍": [
+ "ㄜ1"
+ ],
+ "𠥎": [
+ "ㄨㄟ2"
+ ],
+ "𠥐": [
+ "ㄘㄤ1"
+ ],
+ "𠥑": [
+ "ㄉㄧㄠ4"
+ ],
+ "𠥕": [
+ "ㄜ4"
+ ],
+ "𠥖": [
+ "ㄉㄧ4"
+ ],
+ "𠥘": [
+ "ㄙㄨㄢ3"
+ ],
+ "𠥙": [
+ "ㄑㄩㄢ2"
+ ],
+ "𠥜": [
+ "ㄜ4"
+ ],
+ "𠥝": [
+ "ㄡ1",
+ "ㄡ3"
+ ],
+ "𠥞": [
+ "ㄒㄩㄢ2"
+ ],
+ "𠥢": [
+ "ㄨ3"
+ ],
+ "𠥦": [
+ "ㄧ4"
+ ],
+ "𠥨": [
+ "ㄇㄡ2"
+ ],
+ "𠥰": [
+ "ㄏㄨ1"
+ ],
+ "𠥴": [
+ "ㄏㄢ2",
+ "ㄍㄢ1"
+ ],
+ "𠥿": [
+ "ㄕ2"
+ ],
+ "𠦃": [
+ "ㄙㄚ4"
+ ],
+ "𠦈": [
+ "ㄅㄧ4"
+ ],
+ "𠦊": [
+ "ㄏㄢ2"
+ ],
+ "𠦋": [
+ "ㄐㄧㄥ4"
+ ],
+ "𠦌": [
+ "ㄒㄧ4"
+ ],
+ "𠦎": [
+ "ㄑㄧㄣ4"
+ ],
+ "𠦏": [
+ "ㄘㄨㄛ2"
+ ],
+ "𠦐": [
+ "ㄘ4"
+ ],
+ "𠦒": [
+ "ㄅㄢ1"
+ ],
+ "𠦗": [
+ "ㄉㄨㄟ1"
+ ],
+ "𠦜": [
+ "ㄒㄧ4",
+ "ㄕㄨ4"
+ ],
+ "𠦧": [
+ "ㄓ1"
+ ],
+ "𠦨": [
+ "ㄌㄨㄢ4"
+ ],
+ "𠦪": [
+ "ㄏㄨ1"
+ ],
+ "𠦫": [
+ "ㄐㄧ2"
+ ],
+ "𠦬": [
+ "ㄍㄨㄞ1"
+ ],
+ "𠦲": [
+ "ㄆㄤ1"
+ ],
+ "𠧀": [
+ "ㄓㄨ1"
+ ],
+ "𠧅": [
+ "ㄅㄧ3"
+ ],
+ "𠧇": [
+ "ㄩ2"
+ ],
+ "𠧒": [
+ "ㄑㄧ3"
+ ],
+ "𠧕": [
+ "ㄏㄜ2"
+ ],
+ "𠧖": [
+ "ㄔㄨ3"
+ ],
+ "𠧙": [
+ "ㄕㄠ4"
+ ],
+ "𠧚": [
+ "ㄔ4"
+ ],
+ "𠧛": [
+ "ㄅㄛ2"
+ ],
+ "𠧟": [
+ "ㄖㄥ2",
+ "ㄋㄞ3"
+ ],
+ "𠧠": [
+ "ㄧㄡ2"
+ ],
+ "𠧤": [
+ "ㄋㄞ3"
+ ],
+ "𠧩": [
+ "ㄏㄨㄟ4",
+ "ㄏㄨㄟ3"
+ ],
+ "𠧪": [
+ "ㄊㄧㄠ2",
+ "ㄧㄡ3"
+ ],
+ "𠧫": [
+ "ㄅㄢ3"
+ ],
+ "𠧰": [
+ "ㄒㄩ1"
+ ],
+ "𠧴": [
+ "ㄧㄡ2",
+ "ㄧㄡ4"
+ ],
+ "𠧵": [
+ "ㄔ4"
+ ],
+ "𠧿": [
+ "ㄏㄥ2"
+ ],
+ "𠨃": [
+ "ㄨㄞ4"
+ ],
+ "𠨆": [
+ "ㄒㄧㄝ4"
+ ],
+ "𠨊": [
+ "ㄐㄩㄝ2"
+ ],
+ "𠨌": [
+ "ㄙㄨㄟ1"
+ ],
+ "𠨍": [
+ "ㄑㄧㄥ1"
+ ],
+ "𠨎": [
+ "ㄓㄨㄢ4"
+ ],
+ "𠨕": [
+ "ㄐㄧ4"
+ ],
+ "𠨘": [
+ "ㄅㄧ4"
+ ],
+ "𠨚": [
+ "ㄒㄧ1"
+ ],
+ "𠨠": [
+ "ㄐㄧ2"
+ ],
+ "𠨢": [
+ "ㄐㄩㄣ4"
+ ],
+ "𠨥": [
+ "ㄌㄧㄠ2"
+ ],
+ "𠨦": [
+ "ㄧㄡ1"
+ ],
+ "𠨭": [
+ "ㄐㄩ2"
+ ],
+ "𠨲": [
+ "ㄩㄝ4"
+ ],
+ "𠨵": [
+ "ㄅㄤ4"
+ ],
+ "𠨸": [
+ "ㄆㄧ2"
+ ],
+ "𠨻": [
+ "ㄗㄜ4"
+ ],
+ "𠨾": [
+ "ㄧ4"
+ ],
+ "𠨿": [
+ "ㄉㄧ3"
+ ],
+ "𠩂": [
+ "ㄑㄧㄝ4"
+ ],
+ "𠩄": [
+ "ㄙㄨㄛ3"
+ ],
+ "𠩆": [
+ "ㄘ4"
+ ],
+ "𠩈": [
+ "ㄓㄨ4"
+ ],
+ "𠩉": [
+ "ㄩㄝ4",
+ "ㄐㄩ2"
+ ],
+ "𠩏": [
+ "ㄐㄧㄠ1"
+ ],
+ "𠩔": [
+ "ㄕ2"
+ ],
+ "𠩗": [
+ "ㄧ2"
+ ],
+ "𠩘": [
+ "ㄒㄧㄚ2"
+ ],
+ "𠩠": [
+ "ㄩㄢ2"
+ ],
+ "𠩥": [
+ "ㄍㄨㄛ2"
+ ],
+ "𠩧": [
+ "ㄎㄜ4"
+ ],
+ "𠩪": [
+ "ㄘㄨㄟ4"
+ ],
+ "𠩫": [
+ "ㄧ4"
+ ],
+ "𠩵": [
+ "ㄌㄧ4"
+ ],
+ "𠩷": [
+ "ㄉㄧㄢ3"
+ ],
+ "𠩺": [
+ "ㄒㄧ1",
+ "ㄔ2"
+ ],
+ "𠩿": [
+ "ㄅㄧ4"
+ ],
+ "𠪂": [
+ "ㄅㄧㄢ3"
+ ],
+ "𠪃": [
+ "ㄇㄟ2"
+ ],
+ "𠪄": [
+ "ㄌㄧ4"
+ ],
+ "𠪇": [
+ "ㄙㄡ3"
+ ],
+ "𠪐": [
+ "ㄌㄧㄡ2"
+ ],
+ "𠪑": [
+ "ㄍㄨㄟ4"
+ ],
+ "𠪒": [
+ "ㄎㄜ4"
+ ],
+ "𠪗": [
+ "ㄧ2"
+ ],
+ "𠪙": [
+ "ㄒㄧ3"
+ ],
+ "𠪚": [
+ "ㄧㄣ2",
+ "ㄢ3",
+ "ㄎㄢ3"
+ ],
+ "𠪟": [
+ "ㄎㄜ4"
+ ],
+ "𠪣": [
+ "ㄕㄜ4"
+ ],
+ "𠪧": [
+ "ㄨㄛ3"
+ ],
+ "𠪮": [
+ "ㄆㄧ4"
+ ],
+ "𠪶": [
+ "ㄩㄝ4"
+ ],
+ "𠪷": [
+ "ㄏㄨㄥ2"
+ ],
+ "𠪺": [
+ "ㄌㄧ4"
+ ],
+ "𠪻": [
+ "ㄈㄨ4"
+ ],
+ "𠫃": [
+ "ㄐㄩㄝ2"
+ ],
+ "𠫄": [
+ "ㄒㄧㄢ1"
+ ],
+ "𠫉": [
+ "ㄉㄧㄢ1"
+ ],
+ "𠫌": [
+ "ㄌㄧ4"
+ ],
+ "𠫓": [
+ "ㄊㄨ1"
+ ],
+ "𠫘": [
+ "ㄐㄧㄢ1"
+ ],
+ "𠫛": [
+ "ㄅㄞ3"
+ ],
+ "𠫜": [
+ "ㄉㄧ4"
+ ],
+ "𠫝": [
+ "ㄓㄤ3"
+ ],
+ "𠫣": [
+ "ㄩ4"
+ ],
+ "𠫨": [
+ "ㄉㄨㄟ4"
+ ],
+ "𠫭": [
+ "ㄘㄢ1"
+ ],
+ "𠫮": [
+ "ㄊㄨ2"
+ ],
+ "𠫶": [
+ "ㄊㄢ1"
+ ],
+ "𠫷": [
+ "ㄐㄧ2"
+ ],
+ "𠫸": [
+ "ㄑㄧ2",
+ "ㄓㄞ1"
+ ],
+ "𠫹": [
+ "ㄕㄢ4"
+ ],
+ "𠫺": [
+ "ㄋㄧㄢ2",
+ "ㄕ4"
+ ],
+ "𠬆": [
+ "ㄍㄨㄢ4"
+ ],
+ "𠬈": [
+ "ㄅㄧ3"
+ ],
+ "𠬋": [
+ "ㄒㄧㄥ1",
+ "ㄋㄧㄢ2"
+ ],
+ "𠬓": [
+ "ㄓㄣ3"
+ ],
+ "𠬙": [
+ "ㄙㄚ1"
+ ],
+ "𠬛": [
+ "ㄇㄛ4"
+ ],
+ "𠬝": [
+ "ㄈㄨ2"
+ ],
+ "𠬢": [
+ "ㄊㄠ1"
+ ],
+ "𠬣": [
+ "ㄅㄤ4"
+ ],
+ "𠬪": [
+ "ㄅㄧㄠ4"
+ ],
+ "𠬬": [
+ "ㄒㄧ1"
+ ],
+ "𠬮": [
+ "ㄐㄧㄝ2"
+ ],
+ "𠬶": [
+ "ㄐㄧㄣ4"
+ ],
+ "𠬾": [
+ "ㄑㄧㄢ1"
+ ],
+ "𠭈": [
+ "ㄙ4"
+ ],
+ "𠭉": [
+ "ㄐㄧㄥ3"
+ ],
+ "𠭋": [
+ "ㄔ3"
+ ],
+ "𠭗": [
+ "ㄐㄧㄥ3"
+ ],
+ "𠭥": [
+ "ㄙㄨㄟ4"
+ ],
+ "𠭯": [
+ "ㄓㄚ1"
+ ],
+ "𠭰": [
+ "ㄌㄧ2"
+ ],
+ "𠭴": [
+ "ㄓㄨㄛ1"
+ ],
+ "𠭹": [
+ "ㄅㄧㄢ4"
+ ],
+ "𠭿": [
+ "ㄊㄨㄣ2"
+ ],
+ "𠮃": [
+ "ㄅㄧ4"
+ ],
+ "𠮆": [
+ "ㄈㄟ4"
+ ],
+ "𠮊": [
+ "ㄉㄜ2"
+ ],
+ "𠮌": [
+ "ㄓㄨ2"
+ ],
+ "𠮑": [
+ "ㄐㄩ1"
+ ],
+ "𠮙": [
+ "ㄧ3"
+ ],
+ "𠮜": [
+ "ㄧㄚ4",
+ "ㄧㄣ1"
+ ],
+ "𠮟": [
+ "ㄔ4"
+ ],
+ "𠮠": [
+ "ㄍㄨㄚ3",
+ "ㄅㄞ3"
+ ],
+ "𠮡": [
+ "ㄓ3"
+ ],
+ "𠮨": [
+ "ㄖㄥ2"
+ ],
+ "𠮫": [
+ "ㄧㄡ1"
+ ],
+ "𠮭": [
+ "ㄅㄛ2"
+ ],
+ "𠮯": [
+ "ㄐㄧ3"
+ ],
+ "𠮰": [
+ "ㄆㄧㄣ3"
+ ],
+ "𠮳": [
+ "ㄧㄥ1"
+ ],
+ "𠮴": [
+ "ㄧㄤ1"
+ ],
+ "𠮵": [
+ "ㄇㄤ4"
+ ],
+ "𠮽": [
+ "ㄌㄨㄥ4"
+ ],
+ "𠮾": [
+ "ㄣ4",
+ "ㄋㄍ4"
+ ],
+ "𠮿": [
+ "ㄙㄚ5",
+ "ㄙㄢ5"
+ ],
+ "𠯀": [
+ "ㄔㄨㄢ1"
+ ],
+ "𠯂": [
+ "ㄘ2"
+ ],
+ "𠯃": [
+ "ㄨ3"
+ ],
+ "𠯄": [
+ "ㄖㄣ4"
+ ],
+ "𠯈": [
+ "ㄉㄞ4"
+ ],
+ "𠯉": [
+ "ㄐㄧ2"
+ ],
+ "𠯋": [
+ "ㄧ3"
+ ],
+ "𠯍": [
+ "ㄖㄢ2"
+ ],
+ "𠯐": [
+ "ㄏㄨㄛ4"
+ ],
+ "𠯑": [
+ "ㄍㄨㄚ1"
+ ],
+ "𠯓": [
+ "ㄓㄜ2"
+ ],
+ "𠯔": [
+ "ㄆㄧ4"
+ ],
+ "𠯗": [
+ "ㄗㄚ1"
+ ],
+ "𠯘": [
+ "ㄅㄢ4"
+ ],
+ "𠯙": [
+ "ㄐㄧㄝ2"
+ ],
+ "𠯜": [
+ "ㄏㄡ1",
+ "ㄒㄩ3"
+ ],
+ "𠯟": [
+ "ㄒㄧㄢ4"
+ ],
+ "𠯠": [
+ "ㄏㄨㄟ1"
+ ],
+ "𠯩": [
+ "ㄓㄚ1"
+ ],
+ "𠯪": [
+ "ㄉㄞ1",
+ "ㄉㄞ3",
+ "ㄜ4"
+ ],
+ "𠯫": [
+ "ㄍㄜ1"
+ ],
+ "𠯭": [
+ "ㄆㄧ4"
+ ],
+ "𠯯": [
+ "ㄆㄧㄢ4"
+ ],
+ "𠯰": [
+ "ㄕ2"
+ ],
+ "𠯱": [
+ "ㄌㄧㄤ3"
+ ],
+ "𠯲": [
+ "ㄩㄝ4"
+ ],
+ "𠯳": [
+ "ㄏㄨ4",
+ "ㄨㄣ3"
+ ],
+ "𠯴": [
+ "ㄅㄧㄢ4"
+ ],
+ "𠯷": [
+ "ㄖㄥ2"
+ ],
+ "𠯹": [
+ "ㄖㄥ2"
+ ],
+ "𠰄": [
+ "ㄧ1"
+ ],
+ "𠰅": [
+ "ㄓ1"
+ ],
+ "𠰇": [
+ "ㄐㄧㄣ1"
+ ],
+ "𠰈": [
+ "ㄨㄥ1"
+ ],
+ "𠰉": [
+ "ㄔㄠ1"
+ ],
+ "𠰋": [
+ "ㄑㄧㄡ1"
+ ],
+ "𠰍": [
+ "ㄓㄨ3",
+ "ㄓㄨ4"
+ ],
+ "𠰏": [
+ "ㄓㄚ2"
+ ],
+ "𠰐": [
+ "ㄆㄛ3"
+ ],
+ "𠰑": [
+ "ㄢ4"
+ ],
+ "𠰓": [
+ "ㄏㄜ2"
+ ],
+ "𠰕": [
+ "ㄔㄨ1"
+ ],
+ "𠰖": [
+ "ㄧㄢ2"
+ ],
+ "𠰚": [
+ "ㄕ4"
+ ],
+ "𠰛": [
+ "ㄏㄨ4",
+ "ㄍㄠ4"
+ ],
+ "𠰜": [
+ "ㄜ4"
+ ],
+ "𠰴": [
+ "ㄕ2"
+ ],
+ "𠰹": [
+ "ㄊㄨㄛ1"
+ ],
+ "𠰺": [
+ "ㄉㄞ4"
+ ],
+ "𠰻": [
+ "ㄨㄞ4",
+ "ㄨㄞ5"
+ ],
+ "𠰼": [
+ "ㄆㄛ1"
+ ],
+ "𠰽": [
+ "ㄖㄨㄥ3"
+ ],
+ "𠰾": [
+ "ㄐㄩ1"
+ ],
+ "𠱀": [
+ "ㄅㄛ1"
+ ],
+ "𠱐": [
+ "ㄩ3"
+ ],
+ "𠱑": [
+ "ㄉㄡ1"
+ ],
+ "𠱓": [
+ "ㄍㄨㄟ3"
+ ],
+ "𠱔": [
+ "ㄕㄡ4"
+ ],
+ "𠱗": [
+ "ㄙㄨㄛ1"
+ ],
+ "𠱘": [
+ "ㄋㄧ4"
+ ],
+ "𠱙": [
+ "ㄓㄡ1",
+ "ㄩ4",
+ "ㄐㄧ4",
+ "ㄘㄨ4"
+ ],
+ "𠱚": [
+ "ㄌㄨㄥ4"
+ ],
+ "𠱛": [
+ "ㄅㄧㄥ3"
+ ],
+ "𠱜": [
+ "ㄗㄨㄣ4"
+ ],
+ "𠱝": [
+ "ㄧㄝ4"
+ ],
+ "𠱞": [
+ "ㄖㄢ3"
+ ],
+ "𠱠": [
+ "ㄌㄧㄥ2"
+ ],
+ "𠱡": [
+ "ㄙㄚ4",
+ "ㄕㄞ4"
+ ],
+ "𠱤": [
+ "ㄌㄟ3"
+ ],
+ "𠱥": [
+ "ㄜ4",
+ "ㄏㄨㄟ4",
+ "ㄗㄚ2"
+ ],
+ "𠱧": [
+ "ㄓㄨㄥ4"
+ ],
+ "𠱨": [
+ "ㄐㄧ3"
+ ],
+ "𠱫": [
+ "ㄜ4"
+ ],
+ "𠱯": [
+ "ㄗㄨㄛ4"
+ ],
+ "𠱲": [
+ "ㄋㄚ4"
+ ],
+ "𠱳": [
+ "ㄩㄣ3"
+ ],
+ "𠲊": [
+ "ㄒㄧㄝ4"
+ ],
+ "𠲋": [
+ "ㄗㄨㄟ3"
+ ],
+ "𠲌": [
+ "ㄕㄨ4"
+ ],
+ "𠲍": [
+ "ㄉㄧㄡ1"
+ ],
+ "𠲎": [
+ "ㄈㄚ5",
+ "ㄈㄟ4",
+ "ㄈㄚ2",
+ "ㄨㄚ5"
+ ],
+ "𠲏": [
+ "ㄖㄣ3"
+ ],
+ "𠲑": [
+ "ㄅㄤ1"
+ ],
+ "𠲒": [
+ "ㄏㄢ2"
+ ],
+ "𠲓": [
+ "ㄏㄨㄥ2"
+ ],
+ "𠲔": [
+ "ㄧ1"
+ ],
+ "𠲖": [
+ "ㄧ1"
+ ],
+ "𠲙": [
+ "ㄎㄜ1"
+ ],
+ "𠲚": [
+ "ㄧ4"
+ ],
+ "𠲛": [
+ "ㄏㄨㄟ2"
+ ],
+ "𠲜": [
+ "ㄓㄥ1"
+ ],
+ "𠲮": [
+ "ㄐㄧㄥ4"
+ ],
+ "𠲱": [
+ "ㄍㄜ2"
+ ],
+ "𠲴": [
+ "ㄋㄡ2"
+ ],
+ "𠲵": [
+ "ㄑㄧㄝ4",
+ "ㄐㄧㄝ2"
+ ],
+ "𠲷": [
+ "ㄉㄧㄝ2"
+ ],
+ "𠲹": [
+ "ㄐㄧ4"
+ ],
+ "𠲺": [
+ "ㄧ4"
+ ],
+ "𠲻": [
+ "ㄧ2"
+ ],
+ "𠲽": [
+ "ㄈㄨ2"
+ ],
+ "𠲾": [
+ "ㄕㄨㄛ4"
+ ],
+ "𠲿": [
+ "ㄕㄨㄛ4"
+ ],
+ "𠳀": [
+ "ㄩㄥ3"
+ ],
+ "𠳁": [
+ "ㄎㄣ3"
+ ],
+ "𠳂": [
+ "ㄏㄨㄚ2"
+ ],
+ "𠳃": [
+ "ㄏㄨㄥ4"
+ ],
+ "𠳇": [
+ "ㄏㄜ2"
+ ],
+ "𠳊": [
+ "ㄏㄜ1"
+ ],
+ "𠳋": [
+ "ㄑㄧㄢ3"
+ ],
+ "𠳌": [
+ "ㄑㄧㄚ4"
+ ],
+ "𠳎": [
+ "ㄙ4"
+ ],
+ "𠳐": [
+ "ㄅㄤ1"
+ ],
+ "𠳬": [
+ "ㄐㄧㄥ1"
+ ],
+ "𠳭": [
+ "ㄎㄜ4"
+ ],
+ "𠳳": [
+ "ㄞ1"
+ ],
+ "𠳴": [
+ "ㄌㄡ2"
+ ],
+ "𠳶": [
+ "ㄊㄨ1"
+ ],
+ "𠳹": [
+ "ㄔㄨㄤ2"
+ ],
+ "𠳼": [
+ "ㄙㄨㄥ4"
+ ],
+ "𠳽": [
+ "ㄔㄥ2"
+ ],
+ "𠳿": [
+ "ㄨㄟ1"
+ ],
+ "𠴂": [
+ "ㄋㄨ3"
+ ],
+ "𠴄": [
+ "ㄐㄧㄡ3"
+ ],
+ "𠴇": [
+ "ㄅㄧㄣ1"
+ ],
+ "𠴡": [
+ "ㄒㄧㄠ4"
+ ],
+ "𠴢": [
+ "ㄕㄥ1"
+ ],
+ "𠴣": [
+ "ㄏㄡ3"
+ ],
+ "𠴦": [
+ "ㄓㄨ4"
+ ],
+ "𠴨": [
+ "ㄍㄨㄢ1"
+ ],
+ "𠴩": [
+ "ㄐㄧ1",
+ "ㄑㄧ3"
+ ],
+ "𠴫": [
+ "ㄐㄧ4",
+ "ㄘㄨ4",
+ "ㄩ4",
+ "ㄓㄨ4"
+ ],
+ "𠴭": [
+ "ㄒㄧ1"
+ ],
+ "𠴯": [
+ "ㄕㄜ4"
+ ],
+ "𠴰": [
+ "ㄡ3"
+ ],
+ "𠴱": [
+ "ㄏㄨ2"
+ ],
+ "𠴲": [
+ "ㄊㄚ4"
+ ],
+ "𠴳": [
+ "ㄒㄧㄠ2"
+ ],
+ "𠴵": [
+ "ㄗㄠ4"
+ ],
+ "𠴸": [
+ "ㄅㄛ4"
+ ],
+ "𠴹": [
+ "ㄑㄧ4"
+ ],
+ "𠴺": [
+ "ㄨㄚ1"
+ ],
+ "𠴻": [
+ "ㄊㄨㄛ1"
+ ],
+ "𠴼": [
+ "ㄉㄠ4"
+ ],
+ "𠴾": [
+ "ㄋㄚ4"
+ ],
+ "𠵠": [
+ "ㄓㄞ1"
+ ],
+ "𠵣": [
+ "ㄧㄚ4"
+ ],
+ "𠵦": [
+ "ㄨ3"
+ ],
+ "𠵧": [
+ "ㄓㄣ2",
+ "ㄔㄨㄣ2"
+ ],
+ "𠵨": [
+ "ㄉㄜ5"
+ ],
+ "𠵩": [
+ "ㄏㄜ1"
+ ],
+ "𠵫": [
+ "ㄤ1"
+ ],
+ "𠵬": [
+ "ㄆㄧ2"
+ ],
+ "𠵭": [
+ "ㄙㄜ4"
+ ],
+ "𠵮": [
+ "ㄈㄣ3"
+ ],
+ "𠵯": [
+ "ㄍㄨㄚ1"
+ ],
+ "𠵳": [
+ "ㄆㄛ3"
+ ],
+ "𠵷": [
+ "ㄒㄩㄢ4"
+ ],
+ "𠵸": [
+ "ㄏㄢ1",
+ "ㄇㄧ2"
+ ],
+ "𠵹": [
+ "ㄍㄤ1"
+ ],
+ "𠵺": [
+ "ㄅㄚ1"
+ ],
+ "𠵻": [
+ "ㄗㄨㄥ1"
+ ],
+ "𠵼": [
+ "ㄇㄥ4"
+ ],
+ "𠵾": [
+ "ㄏㄨㄛ4"
+ ],
+ "𠶧": [
+ "ㄉㄧㄢ1"
+ ],
+ "𠶨": [
+ "ㄒㄧ1"
+ ],
+ "𠶫": [
+ "ㄉㄚ4"
+ ],
+ "𠶬": [
+ "ㄋㄤ4"
+ ],
+ "𠶰": [
+ "ㄉㄧㄠ1"
+ ],
+ "𠶱": [
+ "ㄌㄨㄛ4"
+ ],
+ "𠶲": [
+ "ㄎㄜ4"
+ ],
+ "𠶷": [
+ "ㄧ4"
+ ],
+ "𠶸": [
+ "ㄐㄩㄝ2"
+ ],
+ "𠶹": [
+ "ㄏㄜ2"
+ ],
+ "𠶻": [
+ "ㄐㄧ2"
+ ],
+ "𠶾": [
+ "ㄏㄜ4"
+ ],
+ "𠶿": [
+ "ㄋㄧㄝ4",
+ "ㄗㄚ2"
+ ],
+ "𠷀": [
+ "ㄖㄨㄣ3"
+ ],
+ "𠷁": [
+ "ㄑㄧㄢ2",
+ "ㄐㄧㄢ1"
+ ],
+ "𠷂": [
+ "ㄉㄞ4"
+ ],
+ "𠷃": [
+ "ㄕㄠ1",
+ "ㄙㄨ4",
+ "ㄕㄡ4"
+ ],
+ "𠷄": [
+ "ㄎㄜ4"
+ ],
+ "𠷅": [
+ "ㄓㄨ2"
+ ],
+ "𠷇": [
+ "ㄕ1"
+ ],
+ "𠷈": [
+ "ㄌㄩ4",
+ "ㄌㄧㄝ4"
+ ],
+ "𠷉": [
+ "ㄐㄧㄚ1"
+ ],
+ "𠷊": [
+ "ㄆㄧㄢ2"
+ ],
+ "𠷋": [
+ "ㄏㄡ4"
+ ],
+ "𠷌": [
+ "ㄐㄧ1",
+ "ㄗㄜ2"
+ ],
+ "𠷍": [
+ "ㄊㄚ4"
+ ],
+ "𠷎": [
+ "ㄔㄡ2",
+ "ㄕㄡ4"
+ ],
+ "𠷏": [
+ "ㄨㄛ1"
+ ],
+ "𠷐": [
+ "ㄐㄧㄥ4",
+ "ㄐㄧㄤ4"
+ ],
+ "𠷑": [
+ "ㄆㄛ1"
+ ],
+ "𠷒": [
+ "ㄓㄞ1"
+ ],
+ "𠷓": [
+ "ㄒㄧㄣ1"
+ ],
+ "𠷖": [
+ "ㄅㄧㄢ4"
+ ],
+ "𠷙": [
+ "ㄒㄩ4"
+ ],
+ "𠷞": [
+ "ㄍㄨ1"
+ ],
+ "𠷟": [
+ "ㄐㄧㄝ4"
+ ],
+ "𠷢": [
+ "ㄒㄧㄢ2"
+ ],
+ "𠷸": [
+ "ㄜ2",
+ "ㄩㄥ2"
+ ],
+ "𠷺": [
+ "ㄅㄛ2"
+ ],
+ "𠷻": [
+ "ㄆㄧㄠ1"
+ ],
+ "𠷿": [
+ "ㄗㄚ3"
+ ],
+ "𠸁": [
+ "ㄆㄞ4"
+ ],
+ "𠸂": [
+ "ㄊㄨ1"
+ ],
+ "𠸄": [
+ "ㄧㄥ1"
+ ],
+ "𠸮": [
+ "ㄒㄧㄤ3"
+ ],
+ "𠸱": [
+ "ㄋㄨㄛ4"
+ ],
+ "𠸲": [
+ "ㄍㄜ1"
+ ],
+ "𠸳": [
+ "ㄅㄛ2"
+ ],
+ "𠸴": [
+ "ㄒㄧㄝ4"
+ ],
+ "𠸸": [
+ "ㄓㄣ1",
+ "ㄔㄨㄣ2"
+ ],
+ "𠸹": [
+ "ㄩ2"
+ ],
+ "𠸺": [
+ "ㄋㄧ4"
+ ],
+ "𠹀": [
+ "ㄒㄩㄣ4"
+ ],
+ "𠹁": [
+ "ㄨㄚ4"
+ ],
+ "𠹃": [
+ "ㄤ4"
+ ],
+ "𠹄": [
+ "ㄏㄢ4"
+ ],
+ "𠹅": [
+ "ㄏㄨㄥ1"
+ ],
+ "𠹆": [
+ "ㄉㄢ1"
+ ],
+ "𠹈": [
+ "ㄋㄨㄛ2"
+ ],
+ "𠹊": [
+ "ㄘㄠ3"
+ ],
+ "𠹋": [
+ "ㄐㄧ2"
+ ],
+ "𠹌": [
+ "ㄋㄥ3"
+ ],
+ "𠹍": [
+ "ㄩㄥ3",
+ "ㄖㄨㄥ2"
+ ],
+ "𠹎": [
+ "ㄒㄧㄠ1"
+ ],
+ "𠹐": [
+ "ㄔㄨㄚ3"
+ ],
+ "𠹑": [
+ "ㄧㄠ4"
+ ],
+ "𠹓": [
+ "ㄍㄜ2"
+ ],
+ "𠹔": [
+ "ㄊㄤ2"
+ ],
+ "𠹕": [
+ "ㄅㄠ4"
+ ],
+ "𠹖": [
+ "ㄔㄢ3"
+ ],
+ "𠹘": [
+ "ㄒㄩ4"
+ ],
+ "𠹛": [
+ "ㄏㄞ2"
+ ],
+ "𠹝": [
+ "ㄔㄡ2"
+ ],
+ "𠹟": [
+ "ㄐㄧㄢ3"
+ ],
+ "𠹠": [
+ "ㄗㄨㄛ1"
+ ],
+ "𠹤": [
+ "ㄨㄟ4"
+ ],
+ "𠹥": [
+ "ㄉㄚ1"
+ ],
+ "𠹦": [
+ "ㄆㄧ1"
+ ],
+ "𠺐": [
+ "ㄏㄨㄢ4"
+ ],
+ "𠺒": [
+ "ㄒㄧ1"
+ ],
+ "𠺔": [
+ "ㄆㄣ4"
+ ],
+ "𠺕": [
+ "ㄌㄧㄡ1",
+ "ㄌㄧㄠ2"
+ ],
+ "𠺖": [
+ "ㄇㄨ3",
+ "ㄧㄥ1"
+ ],
+ "𠺗": [
+ "ㄇㄧㄝ1"
+ ],
+ "𠺘": [
+ "ㄌㄤ4"
+ ],
+ "𠺙": [
+ "ㄊㄨㄟ4"
+ ],
+ "𠺚": [
+ "ㄅㄢ1"
+ ],
+ "𠺝": [
+ "ㄍㄜ1"
+ ],
+ "𠺟": [
+ "ㄎㄨ4"
+ ],
+ "𠺢": [
+ "ㄐㄧㄚ1"
+ ],
+ "𠺣": [
+ "ㄅㄛ1"
+ ],
+ "𠻍": [
+ "ㄏㄨㄢ4"
+ ],
+ "𠻏": [
+ "ㄗㄨ2"
+ ],
+ "𠻐": [
+ "ㄌㄨㄛ4"
+ ],
+ "𠻗": [
+ "ㄌㄧ2"
+ ],
+ "𠻙": [
+ "ㄏㄜ2"
+ ],
+ "𠻚": [
+ "ㄇㄛ2"
+ ],
+ "𠻜": [
+ "ㄕㄨㄟ4",
+ "ㄌㄩ4",
+ "ㄙㄨ1"
+ ],
+ "𠻝": [
+ "ㄕㄣ1"
+ ],
+ "𠻞": [
+ "ㄎㄤ3"
+ ],
+ "𠻟": [
+ "ㄔ4"
+ ],
+ "𠻠": [
+ "ㄌㄧㄥ2"
+ ],
+ "𠻡": [
+ "ㄌㄨㄛ3"
+ ],
+ "𠻤": [
+ "ㄧㄢ3"
+ ],
+ "𠻥": [
+ "ㄓㄠ4"
+ ],
+ "𠻦": [
+ "ㄔㄨㄚ3"
+ ],
+ "𠻧": [
+ "ㄍㄨ3"
+ ],
+ "𠻨": [
+ "ㄑㄧㄣ3"
+ ],
+ "𠻪": [
+ "ㄊㄢ2"
+ ],
+ "𠻫": [
+ "ㄈㄣ4"
+ ],
+ "𠻬": [
+ "ㄊㄨ2"
+ ],
+ "𠻱": [
+ "ㄌㄧㄥ2"
+ ],
+ "𠻴": [
+ "ㄌㄤ3"
+ ],
+ "𠼖": [
+ "ㄌㄢ2"
+ ],
+ "𠼗": [
+ "ㄗㄢ4"
+ ],
+ "𠼘": [
+ "ㄨ4"
+ ],
+ "𠼝": [
+ "ㄌㄧ2"
+ ],
+ "𠼞": [
+ "ㄚ1"
+ ],
+ "𠼟": [
+ "ㄌㄩㄝ4"
+ ],
+ "𠼠": [
+ "ㄓ3"
+ ],
+ "𠼡": [
+ "ㄔㄡ2"
+ ],
+ "𠼢": [
+ "ㄐㄧㄤ4",
+ "ㄑㄧㄤ4"
+ ],
+ "𠼤": [
+ "ㄐㄧㄢ1"
+ ],
+ "𠼩": [
+ "ㄌㄨㄣ2"
+ ],
+ "𠼪": [
+ "ㄧ2"
+ ],
+ "𠼬": [
+ "ㄕㄤ1"
+ ],
+ "𠼻": [
+ "ㄐㄧ1"
+ ],
+ "𠽜": [
+ "ㄧ4"
+ ],
+ "𠽝": [
+ "ㄋㄧㄣ2"
+ ],
+ "𠽡": [
+ "ㄏㄨㄟ4"
+ ],
+ "𠽣": [
+ "ㄓㄚ1"
+ ],
+ "𠽦": [
+ "ㄏㄢ3"
+ ],
+ "𠽨": [
+ "ㄧㄣ3"
+ ],
+ "𠽩": [
+ "ㄅㄧ4"
+ ],
+ "𠽪": [
+ "ㄢ1"
+ ],
+ "𠽫": [
+ "ㄒㄧㄚ1",
+ "ㄒㄧㄚ3"
+ ],
+ "𠽬": [
+ "ㄋㄧ2"
+ ],
+ "𠽰": [
+ "ㄉㄧ1"
+ ],
+ "𠽱": [
+ "ㄐㄧㄢ3"
+ ],
+ "𠽲": [
+ "ㄆㄢ2"
+ ],
+ "𠽵": [
+ "ㄩ4"
+ ],
+ "𠽶": [
+ "ㄔㄨㄞ4",
+ "ㄘㄨㄟ4",
+ "ㄔㄨㄛ4"
+ ],
+ "𠽷": [
+ "ㄗㄚ1"
+ ],
+ "𠽹": [
+ "ㄔㄚ2"
+ ],
+ "𠽻": [
+ "ㄓㄜ2"
+ ],
+ "𠽼": [
+ "ㄙㄜ4"
+ ],
+ "𠽾": [
+ "ㄆㄣ1",
+ "ㄆㄨ3"
+ ],
+ "𠽿": [
+ "ㄍㄨ1"
+ ],
+ "𠾀": [
+ "ㄓㄜ2"
+ ],
+ "𠾆": [
+ "ㄌㄧ2"
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+ "ㄆㄛ4"
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+ ],
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+ "ㄐㄧㄣ4"
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+ "ㄌㄧㄥ2"
+ ],
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+ "ㄎㄤ1"
+ ],
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+ "ㄌㄚ4"
+ ],
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+ "ㄒㄩ1"
+ ],
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+ ],
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+ "ㄩㄝ4"
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+ "ㄏㄢ3"
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+ "ㄙㄚ4"
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+ "ㄏㄨㄟ4"
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+ "ㄙㄜ4"
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+ ],
+ "𠿣": [
+ "ㄧ1"
+ ],
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+ ],
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+ "ㄍㄨㄟ4"
+ ],
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+ ],
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+ "ㄅㄛ1"
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+ ],
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+ ],
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+ "ㄏㄜ4"
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+ "ㄏㄢ4"
+ ],
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+ "ㄎㄞ4"
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+ ],
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+ ],
+ "𡁑": [
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+ ],
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+ ],
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+ "ㄗㄚ2"
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+ "ㄗㄤ1"
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+ "ㄐㄧ4"
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+ "ㄨㄛ1"
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+ "ㄒㄧ1"
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+ ],
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+ ],
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+ ],
+ "𡂖": [
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+ "ㄊㄚ4"
+ ],
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+ "ㄨㄟ3"
+ ],
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+ "ㄉㄡ4"
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+ ],
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+ "ㄆㄥ2"
+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ ],
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+ "ㄒㄧ4"
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+ "ㄌㄧㄣ4"
+ ],
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+ ],
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+ "ㄌㄧ2"
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+ ],
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+ ],
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+ "ㄐㄧㄢ1"
+ ],
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+ "ㄉㄠ4"
+ ],
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+ "ㄐㄧㄢ3"
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+ "ㄑㄧㄥ4"
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+ "ㄒㄧㄝ4"
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+ "𡄖": [
+ "ㄧㄥ4"
+ ],
+ "𡄟": [
+ "ㄏㄚ2"
+ ],
+ "𡄡": [
+ "ㄓㄜ5"
+ ],
+ "𡄢": [
+ "ㄕㄜ1"
+ ],
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+ "ㄇㄧ2"
+ ],
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+ ],
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+ "ㄘㄨ4"
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+ "ㄖㄨ2"
+ ],
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+ "ㄙㄚ3"
+ ],
+ "𡄴": [
+ "ㄏㄨㄛ4"
+ ],
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+ "ㄧ1"
+ ],
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+ "ㄉㄧ1"
+ ],
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+ "ㄌㄨㄢ4"
+ ],
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+ "ㄧ4"
+ ],
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+ "ㄅㄛ4"
+ ],
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+ "ㄆㄤ2"
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+ "ㄊㄢ2"
+ ],
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+ "ㄟ2"
+ ],
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+ "ㄗㄤ1"
+ ],
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+ "ㄘㄨㄥ2"
+ ],
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+ "ㄓㄞ1"
+ ],
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+ "ㄒㄧ3"
+ ],
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+ "ㄇㄤ3"
+ ],
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+ "ㄌㄚ4"
+ ],
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+ "ㄩㄣ4"
+ ],
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+ "ㄜ4"
+ ],
+ "𡅥": [
+ "ㄉㄧㄝ2"
+ ],
+ "𡅭": [
+ "ㄍㄨㄢ1"
+ ],
+ "𡅱": [
+ "ㄏㄨㄢ4"
+ ],
+ "𡅵": [
+ "ㄕ4"
+ ],
+ "𡅶": [
+ "ㄐㄧㄢ3"
+ ],
+ "𡅹": [
+ "ㄓㄢ1"
+ ],
+ "𡅺": [
+ "ㄐㄧ2"
+ ],
+ "𡅻": [
+ "ㄏㄨㄢ4"
+ ],
+ "𡆅": [
+ "ㄨㄢ4"
+ ],
+ "𡆆": [
+ "ㄌㄨㄛ3"
+ ],
+ "𡆏": [
+ "ㄉㄡ4"
+ ],
+ "𡆕": [
+ "ㄌㄧㄢ4"
+ ],
+ "𡆣": [
+ "ㄋㄧㄝ4",
+ "ㄉㄧ2"
+ ],
+ "𡆤": [
+ "ㄋㄢ3"
+ ],
+ "𡆥": [
+ "ㄐㄧㄡ4"
+ ],
+ "𡆦": [
+ "ㄩㄝ4"
+ ],
+ "𡆩": [
+ "ㄧㄠ1",
+ "ㄐㄩㄥ3"
+ ],
+ "𡆪": [
+ "ㄔㄨㄤ1"
+ ],
+ "𡆮": [
+ "ㄘㄢ3"
+ ],
+ "𡆯": [
+ "ㄌㄧ3"
+ ],
+ "𡆰": [
+ "ㄉㄨㄣ4"
+ ],
+ "𡆱": [
+ "ㄋㄢ3"
+ ],
+ "𡆲": [
+ "ㄋㄢ3"
+ ],
+ "𡆸": [
+ "ㄖ4",
+ "ㄍㄨㄛ2"
+ ],
+ "𡆽": [
+ "ㄩㄝ4"
+ ],
+ "𡇀": [
+ "ㄧㄡ2"
+ ],
+ "𡇂": [
+ "ㄧㄣ1"
+ ],
+ "𡇄": [
+ "ㄍㄨㄛ2",
+ "ㄋㄧㄝ4"
+ ],
+ "𡇈": [
+ "ㄉㄤ4",
+ "ㄊㄨㄛ2"
+ ],
+ "𡇑": [
+ "ㄓㄣ1"
+ ],
+ "𡇒": [
+ "ㄇㄧ2"
+ ],
+ "𡇓": [
+ "ㄉㄧㄝ2"
+ ],
+ "𡇖": [
+ "ㄓㄣ1"
+ ],
+ "𡇚": [
+ "ㄎㄨㄚ1"
+ ],
+ "𡇜": [
+ "ㄏㄢ2"
+ ],
+ "𡇝": [
+ "ㄙㄨㄥ4"
+ ],
+ "𡇞": [
+ "ㄏㄜ2"
+ ],
+ "𡇟": [
+ "ㄐㄧ1"
+ ],
+ "𡇠": [
+ "ㄓㄜ2"
+ ],
+ "𡇤": [
+ "ㄅㄧㄥ3"
+ ],
+ "𡇦": [
+ "ㄨㄟ2"
+ ],
+ "𡇧": [
+ "ㄊㄡ1"
+ ],
+ "𡇩": [
+ "ㄊㄨ2"
+ ],
+ "𡇬": [
+ "ㄍㄤ1"
+ ],
+ "𡇭": [
+ "ㄌㄡ2"
+ ],
+ "𡇮": [
+ "ㄑㄩㄢ2"
+ ],
+ "𡇯": [
+ "ㄏㄨㄣ4"
+ ],
+ "𡇰": [
+ "ㄓㄨㄢ3"
+ ],
+ "𡇱": [
+ "ㄑㄩㄝ4"
+ ],
+ "𡇳": [
+ "ㄏㄨㄥ2"
+ ],
+ "𡇵": [
+ "ㄉㄤ4"
+ ],
+ "𡇶": [
+ "ㄏㄜ2"
+ ],
+ "𡇷": [
+ "ㄊㄞ4"
+ ],
+ "𡇸": [
+ "ㄍㄨㄞ1"
+ ],
+ "𡇺": [
+ "ㄩ4"
+ ],
+ "𡇼": [
+ "ㄧㄚ4"
+ ],
+ "𡇿": [
+ "ㄨㄢ1"
+ ],
+ "𡈀": [
+ "ㄑㄩㄣ1"
+ ],
+ "𡈅": [
+ "ㄐㄩㄝ2"
+ ],
+ "𡈆": [
+ "ㄡ1"
+ ],
+ "𡈉": [
+ "ㄑㄩㄢ1"
+ ],
+ "𡈊": [
+ "ㄓ2"
+ ],
+ "𡈍": [
+ "ㄌㄧㄥ2"
+ ],
+ "𡈎": [
+ "ㄨ1",
+ "ㄖ4"
+ ],
+ "𡈏": [
+ "ㄒㄧㄣ4"
+ ],
+ "𡈐": [
+ "ㄉㄚ2"
+ ],
+ "𡈒": [
+ "ㄩㄢ1"
+ ],
+ "𡈓": [
+ "ㄩㄢ4"
+ ],
+ "𡈗": [
+ "ㄇㄛ4"
+ ],
+ "𡈙": [
+ "ㄧㄡ2"
+ ],
+ "𡈞": [
+ "ㄨ3"
+ ],
+ "𡈠": [
+ "ㄓㄤ1"
+ ],
+ "𡈣": [
+ "ㄒㄩㄢ1"
+ ],
+ "𡈦": [
+ "ㄖㄠ3"
+ ],
+ "𡈧": [
+ "ㄍㄨㄣ3"
+ ],
+ "𡈨": [
+ "ㄩ4"
+ ],
+ "𡈮": [
+ "ㄒㄧㄚ2"
+ ],
+ "𡈯": [
+ "ㄅㄧㄢ3"
+ ],
+ "𡈰": [
+ "ㄧㄡ2"
+ ],
+ "𡈲": [
+ "ㄧㄣ1"
+ ],
+ "𡈴": [
+ "ㄒㄩㄢ2",
+ "ㄖㄨ3"
+ ],
+ "𡈵": [
+ "ㄧㄡ2"
+ ],
+ "𡈶": [
+ "ㄌㄟ2"
+ ],
+ "𡈼": [
+ "ㄊㄧㄥ3",
+ "ㄊㄧㄥ2",
+ "ㄓㄥ1",
+ "ㄓ3"
+ ],
+ "𡈿": [
+ "ㄓㄣ1"
+ ],
+ "𡉄": [
+ "ㄗㄞ4",
+ "ㄎㄨ1"
+ ],
+ "𡉅": [
+ "ㄍㄚ1"
+ ],
+ "𡉆": [
+ "ㄌㄚ2"
+ ],
+ "𡉉": [
+ "ㄑㄩㄝ4"
+ ],
+ "𡉎": [
+ "ㄐㄩ2"
+ ],
+ "𡉐": [
+ "ㄔㄨㄣ1"
+ ],
+ "𡉑": [
+ "ㄉㄚ1"
+ ],
+ "𡉒": [
+ "ㄊㄨㄣ2"
+ ],
+ "𡉓": [
+ "ㄞ1"
+ ],
+ "𡉗": [
+ "ㄗ3"
+ ],
+ "𡉚": [
+ "ㄏㄨㄤ2",
+ "ㄈㄥ1"
+ ],
+ "𡉛": [
+ "ㄧ4"
+ ],
+ "𡉩": [
+ "ㄅㄠ4"
+ ],
+ "𡉪": [
+ "ㄔ2"
+ ],
+ "𡉭": [
+ "ㄖ4"
+ ],
+ "𡉴": [
+ "ㄌㄨ2",
+ "ㄏㄨ4"
+ ],
+ "𡉷": [
+ "ㄐㄧㄝ2"
+ ],
+ "𡉸": [
+ "ㄕ4"
+ ],
+ "𡉺": [
+ "ㄗㄨㄢ1"
+ ],
+ "𡊁": [
+ "ㄧ4"
+ ],
+ "𡊄": [
+ "ㄈㄣ4"
+ ],
+ "𡊅": [
+ "ㄈㄣ4",
+ "ㄅㄧㄢ4"
+ ],
+ "𡊉": [
+ "ㄇㄛ4"
+ ],
+ "𡊍": [
+ "ㄕㄨ4"
+ ],
+ "𡊛": [
+ "ㄠ2"
+ ],
+ "𡊝": [
+ "ㄆㄧ3"
+ ],
+ "𡊞": [
+ "ㄆㄧㄥ2",
+ "ㄆㄧㄥ4"
+ ],
+ "𡊟": [
+ "ㄆㄛ1"
+ ],
+ "𡊠": [
+ "ㄐㄧㄚ2"
+ ],
+ "𡊡": [
+ "ㄓㄡ2"
+ ],
+ "𡊣": [
+ "ㄑㄧㄡ1"
+ ],
+ "𡊧": [
+ "ㄧㄡ3"
+ ],
+ "𡊨": [
+ "ㄊㄢ2"
+ ],
+ "𡊫": [
+ "ㄖㄨㄥ3"
+ ],
+ "𡊭": [
+ "ㄇㄧ4"
+ ],
+ "𡊶": [
+ "ㄧ4"
+ ],
+ "𡊸": [
+ "ㄖㄨㄥ3"
+ ],
+ "𡊻": [
+ "ㄌㄧㄝ4"
+ ],
+ "𡊼": [
+ "ㄑㄩㄥ2"
+ ],
+ "𡋙": [
+ "ㄏㄨㄟ2"
+ ],
+ "𡋚": [
+ "ㄐㄧ4"
+ ],
+ "𡋟": [
+ "ㄍㄠ4"
+ ],
+ "𡋧": [
+ "ㄧㄡ2"
+ ],
+ "𡋨": [
+ "ㄔㄚ1"
+ ],
+ "𡋩": [
+ "ㄉㄜ2"
+ ],
+ "𡋪": [
+ "ㄧㄣ1"
+ ],
+ "𡋬": [
+ "ㄩ4"
+ ],
+ "𡋭": [
+ "ㄅㄟ4"
+ ],
+ "𡋯": [
+ "ㄅㄛ2"
+ ],
+ "𡌔": [
+ "ㄑㄧㄠ1"
+ ],
+ "𡌚": [
+ "ㄔㄚ3"
+ ],
+ "𡌜": [
+ "ㄒㄧㄣ1"
+ ],
+ "𡌞": [
+ "ㄔ2"
+ ],
+ "𡌣": [
+ "ㄗㄠ4"
+ ],
+ "𡌤": [
+ "ㄎㄨㄟ2"
+ ],
+ "𡌦": [
+ "ㄈㄟ4"
+ ],
+ "𡌩": [
+ "ㄊㄚ1",
+ "ㄉㄚ2"
+ ],
+ "𡌪": [
+ "ㄍㄨㄞ4"
+ ],
+ "𡌭": [
+ "ㄉㄨㄛ1"
+ ],
+ "𡌲": [
+ "ㄍㄨㄟ1"
+ ],
+ "𡌴": [
+ "ㄓ2"
+ ],
+ "𡍌": [
+ "ㄔㄢ3"
+ ],
+ "𡍍": [
+ "ㄋㄠ3"
+ ],
+ "𡍐": [
+ "ㄏㄨ2"
+ ],
+ "𡍒": [
+ "ㄊㄠ2"
+ ],
+ "𡍡": [
+ "ㄧ4"
+ ],
+ "𡍤": [
+ "ㄋㄧㄝ4"
+ ],
+ "𡍥": [
+ "ㄓㄞ4"
+ ],
+ "𡍦": [
+ "ㄏㄨㄢ2"
+ ],
+ "𡍨": [
+ "ㄉㄨ4"
+ ],
+ "𡍪": [
+ "ㄑㄧ4"
+ ],
+ "𡍫": [
+ "ㄘㄜ4"
+ ],
+ "𡍮": [
+ "ㄔㄨㄟ2"
+ ],
+ "𡍲": [
+ "ㄉㄚ1"
+ ],
+ "𡍶": [
+ "ㄓ4"
+ ],
+ "𡍷": [
+ "ㄍㄥ4"
+ ],
+ "𡍻": [
+ "ㄨㄥ4"
+ ],
+ "𡎉": [
+ "ㄉㄨ4"
+ ],
+ "𡎍": [
+ "ㄔ2"
+ ],
+ "𡎑": [
+ "ㄢ4"
+ ],
+ "𡎒": [
+ "ㄎㄨㄛ4"
+ ],
+ "𡎔": [
+ "ㄨㄛ4"
+ ],
+ "𡎘": [
+ "ㄧㄥ1"
+ ],
+ "𡎚": [
+ "ㄆㄧㄢ3"
+ ],
+ "𡎫": [
+ "ㄓㄚ2",
+ "ㄑㄧ4"
+ ],
+ "𡎬": [
+ "ㄓㄨㄚ3"
+ ],
+ "𡎮": [
+ "ㄙㄨ4"
+ ],
+ "𡎳": [
+ "ㄋㄧ4"
+ ],
+ "𡎺": [
+ "ㄓㄨ2"
+ ],
+ "𡎻": [
+ "ㄔㄢ2"
+ ],
+ "𡎾": [
+ "ㄅㄥ4"
+ ],
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+ "ㄋㄧ2"
+ ],
+ "𡏀": [
+ "ㄓ2"
+ ],
+ "𡏁": [
+ "ㄏㄨㄟ4"
+ ],
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+ "ㄒㄧㄚ4"
+ ],
+ "𡏚": [
+ "ㄓ4"
+ ],
+ "𡏛": [
+ "ㄒㄧ1"
+ ],
+ "𡏞": [
+ "ㄐㄧㄤ3"
+ ],
+ "𡏩": [
+ "ㄉㄨㄟ1"
+ ],
+ "𡏪": [
+ "ㄈㄨ1"
+ ],
+ "𡏭": [
+ "ㄐㄧㄠ1"
+ ],
+ "𡏮": [
+ "ㄔㄠ2"
+ ],
+ "𡏯": [
+ "ㄅㄞ4"
+ ],
+ "𡏵": [
+ "ㄌㄧㄝ4"
+ ],
+ "𡏼": [
+ "ㄠ2"
+ ],
+ "𡐋": [
+ "ㄗㄠ1"
+ ],
+ "𡐌": [
+ "ㄔㄨ4"
+ ],
+ "𡐏": [
+ "ㄊㄨㄛ3"
+ ],
+ "𡐒": [
+ "ㄏㄠ2",
+ "ㄏㄠ4"
+ ],
+ "𡐓": [
+ "ㄎㄤ1"
+ ],
+ "𡐔": [
+ "ㄧㄣ2"
+ ],
+ "𡐖": [
+ "ㄒㄧㄢ4"
+ ],
+ "𡐝": [
+ "ㄈㄨ2",
+ "ㄈㄨ4"
+ ],
+ "𡐞": [
+ "ㄅㄧㄝ1"
+ ],
+ "𡐠": [
+ "ㄎㄨㄟ1"
+ ],
+ "𡐤": [
+ "ㄑㄧㄝ4"
+ ],
+ "𡐥": [
+ "ㄙㄚ4"
+ ],
+ "𡐿": [
+ "ㄉㄚ1",
+ "ㄉㄚ5"
+ ],
+ "𡑀": [
+ "ㄧㄝ3",
+ "ㄕㄨ4"
+ ],
+ "𡑄": [
+ "ㄓㄤ3"
+ ],
+ "𡑆": [
+ "ㄌㄧㄤ2"
+ ],
+ "𡑈": [
+ "ㄉㄨㄟ3"
+ ],
+ "𡑍": [
+ "ㄌㄠ2"
+ ],
+ "𡑎": [
+ "ㄒㄩㄣ1"
+ ],
+ "𡑘": [
+ "ㄓ4"
+ ],
+ "𡑚": [
+ "ㄎㄨ1"
+ ],
+ "𡑞": [
+ "ㄙㄨㄟ4"
+ ],
+ "𡑟": [
+ "ㄨㄛ1"
+ ],
+ "𡑣": [
+ "ㄎㄨ1"
+ ],
+ "𡑯": [
+ "ㄐㄧㄢ3"
+ ],
+ "𡑶": [
+ "ㄐㄧㄤ3"
+ ],
+ "𡑻": [
+ "ㄓㄨㄟ4"
+ ],
+ "𡑽": [
+ "ㄕㄨㄤ3"
+ ],
+ "𡑾": [
+ "ㄩ2"
+ ],
+ "𡒁": [
+ "ㄙㄚ4"
+ ],
+ "𡒃": [
+ "ㄩ4",
+ "ㄠ4"
+ ],
+ "𡒄": [
+ "ㄌㄢ3"
+ ],
+ "𡒊": [
+ "ㄩ4"
+ ],
+ "𡒌": [
+ "ㄑㄧㄢ3"
+ ],
+ "𡒍": [
+ "ㄐㄩ4"
+ ],
+ "𡒏": [
+ "ㄌㄧㄝ4"
+ ],
+ "𡒒": [
+ "ㄕㄨ2"
+ ],
+ "𡒓": [
+ "ㄒㄧㄢ4"
+ ],
+ "𡒖": [
+ "ㄍㄞ4"
+ ],
+ "𡒢": [
+ "ㄊㄞ2"
+ ],
+ "𡒧": [
+ "ㄊㄧㄢ3"
+ ],
+ "𡒯": [
+ "ㄇㄥ4"
+ ],
+ "𡒱": [
+ "ㄉㄧ2"
+ ],
+ "𡒳": [
+ "ㄇㄧㄢ2"
+ ],
+ "𡒾": [
+ "ㄏㄨㄟ1",
+ "ㄎㄨㄟ4"
+ ],
+ "𡓉": [
+ "ㄉㄨㄛ4"
+ ],
+ "𡓍": [
+ "ㄌㄧㄝ4"
+ ],
+ "𡓒": [
+ "ㄌㄞ4"
+ ],
+ "𡓓": [
+ "ㄧㄣ2",
+ "ㄧㄣ1"
+ ],
+ "𡓔": [
+ "ㄌㄢ3"
+ ],
+ "𡓖": [
+ "ㄐㄧㄠ1"
+ ],
+ "𡓘": [
+ "ㄏㄨㄛ4"
+ ],
+ "𡓣": [
+ "ㄍㄨㄛ1"
+ ],
+ "𡓦": [
+ "ㄓㄢ4"
+ ],
+ "𡓭": [
+ "ㄇㄧ3"
+ ],
+ "𡓰": [
+ "ㄎㄨㄟ1"
+ ],
+ "𡓷": [
+ "ㄉㄨㄛ4"
+ ],
+ "𡓿": [
+ "ㄧㄣ2"
+ ],
+ "𡔇": [
+ "ㄌㄟ4"
+ ],
+ "𡔕": [
+ "ㄍㄨㄥ4"
+ ],
+ "𡔛": [
+ "ㄊㄧㄥ3"
+ ],
+ "𡔜": [
+ "ㄧㄠ2"
+ ],
+ "𡔞": [
+ "ㄨㄤ3"
+ ],
+ "𡔣": [
+ "ㄐㄧㄝ2",
+ "ㄑㄧㄝ4"
+ ],
+ "𡔨": [
+ "ㄒㄧㄡ1"
+ ],
+ "𡔪": [
+ "ㄕㄨ4"
+ ],
+ "𡔱": [
+ "ㄨㄟ4"
+ ],
+ "𡔴": [
+ "ㄩ4"
+ ],
+ "𡕁": [
+ "ㄓㄢ1"
+ ],
+ "𡕉": [
+ "ㄤ1"
+ ],
+ "𡕏": [
+ "ㄙㄤ3"
+ ],
+ "𡕐": [
+ "ㄔㄡ2"
+ ],
+ "𡕒": [
+ "ㄎㄨㄚ4"
+ ],
+ "𡕖": [
+ "ㄐㄩ3",
+ "ㄈㄥ2"
+ ],
+ "𡕗": [
+ "ㄏㄞ4"
+ ],
+ "𡕢": [
+ "ㄇㄧㄢ3",
+ "ㄇㄢ3"
+ ],
+ "𡕧": [
+ "ㄏㄤ4"
+ ],
+ "𡕪": [
+ "ㄔㄡ2"
+ ],
+ "𡕮": [
+ "ㄌㄧㄥ2"
+ ],
+ "𡕰": [
+ "ㄗㄨㄥ1"
+ ],
+ "𡖉": [
+ "ㄎㄨㄣ1"
+ ],
+ "𡖌": [
+ "ㄓㄨㄥ1"
+ ],
+ "𡖎": [
+ "ㄓㄠ1"
+ ],
+ "𡖐": [
+ "ㄉㄧㄝ3"
+ ],
+ "𡖑": [
+ "ㄍㄡ3"
+ ],
+ "𡖒": [
+ "ㄩㄣ2"
+ ],
+ "𡖓": [
+ "ㄉㄢ1"
+ ],
+ "𡖔": [
+ "ㄋㄨㄛ2",
+ "ㄋㄨㄛ3"
+ ],
+ "𡖛": [
+ "ㄅㄧㄥ3"
+ ],
+ "𡖝": [
+ "ㄖㄢ2"
+ ],
+ "𡖞": [
+ "ㄔㄢ1"
+ ],
+ "𡖢": [
+ "ㄖㄨㄥ3"
+ ],
+ "𡖣": [
+ "ㄧㄣ1"
+ ],
+ "𡖤": [
+ "ㄔㄢ1"
+ ],
+ "𡖧": [
+ "ㄓ4"
+ ],
+ "𡖪": [
+ "ㄍㄨㄞ4"
+ ],
+ "𡖫": [
+ "ㄋㄨㄛ2"
+ ],
+ "𡖬": [
+ "ㄕㄣ1"
+ ],
+ "𡖯": [
+ "ㄙㄨ4"
+ ],
+ "𡖲": [
+ "ㄨㄛ3"
+ ],
+ "𡖳": [
+ "ㄔ3"
+ ],
+ "𡖺": [
+ "ㄇㄧㄝ4"
+ ],
+ "𡖻": [
+ "ㄓ2"
+ ],
+ "𡖾": [
+ "ㄑㄧ1"
+ ],
+ "𡗁": [
+ "ㄍㄡ1"
+ ],
+ "𡗆": [
+ "ㄌㄡ3"
+ ],
+ "𡗈": [
+ "ㄗ1"
+ ],
+ "𡗍": [
+ "ㄉㄤ3"
+ ],
+ "𡗏": [
+ "ㄒㄧㄢ3"
+ ],
+ "𡗑": [
+ "ㄖㄡ3"
+ ],
+ "𡗗": [
+ "ㄆㄥ3"
+ ],
+ "𡗞": [
+ "ㄒㄧ1"
+ ],
+ "𡗢": [
+ "ㄎㄨㄚ1",
+ "ㄅㄣ3"
+ ],
+ "𡗤": [
+ "ㄍㄨㄟ4"
+ ],
+ "𡗥": [
+ "ㄔㄨㄣ2"
+ ],
+ "𡗦": [
+ "ㄐㄧㄝ4"
+ ],
+ "𡗲": [
+ "ㄐㄧㄝ4",
+ "ㄅㄣ1"
+ ],
+ "𡗳": [
+ "ㄒㄧ1"
+ ],
+ "𡗵": [
+ "ㄎㄨ1"
+ ],
+ "𡗷": [
+ "ㄍㄨ1"
+ ],
+ "𡗸": [
+ "ㄓㄚ4",
+ "ㄎㄨㄚ1"
+ ],
+ "𡗹": [
+ "ㄈㄢ4"
+ ],
+ "𡗼": [
+ "ㄒㄧㄝ4"
+ ],
+ "𡘍": [
+ "ㄏㄨㄢ2",
+ "ㄑㄧㄝ2"
+ ],
+ "𡘏": [
+ "ㄋㄧㄠ3"
+ ],
+ "𡘐": [
+ "ㄒㄧ4"
+ ],
+ "𡘛": [
+ "ㄘㄨ1"
+ ],
+ "𡘝": [
+ "ㄍㄨㄣ3"
+ ],
+ "𡘡": [
+ "ㄒㄧ1"
+ ],
+ "𡘧": [
+ "ㄑㄧㄚ2"
+ ],
+ "𡘪": [
+ "ㄇㄤ1"
+ ],
+ "𡘭": [
+ "ㄓㄜ2"
+ ],
+ "𡘰": [
+ "ㄐㄩㄢ4"
+ ],
+ "𡘴": [
+ "ㄅㄧㄝ1"
+ ],
+ "𡙀": [
+ "ㄅㄧㄝ1"
+ ],
+ "𡙅": [
+ "ㄑㄩㄢ2"
+ ],
+ "𡙋": [
+ "ㄒㄧ4"
+ ],
+ "𡙎": [
+ "ㄐㄧㄠ3",
+ "ㄇㄧㄠ3"
+ ],
+ "𡙐": [
+ "ㄑㄩㄢ2"
+ ],
+ "𡙑": [
+ "ㄓ3"
+ ],
+ "𡙒": [
+ "ㄊㄧㄢ1"
+ ],
+ "𡙓": [
+ "ㄎㄞ1"
+ ],
+ "𡙘": [
+ "ㄙㄢ3",
+ "ㄧ4"
+ ],
+ "𡙛": [
+ "ㄗ1"
+ ],
+ "𡙣": [
+ "ㄐㄧㄝ2"
+ ],
+ "𡙪": [
+ "ㄅㄧㄝ2"
+ ],
+ "𡙬": [
+ "ㄉㄡ4"
+ ],
+ "𡙭": [
+ "ㄗㄨㄟ1"
+ ],
+ "𡙶": [
+ "ㄧㄢ3"
+ ],
+ "𡚁": [
+ "ㄅㄧ4"
+ ],
+ "𡚅": [
+ "ㄎㄨㄞ3"
+ ],
+ "𡚇": [
+ "ㄧㄢ4"
+ ],
+ "𡚈": [
+ "ㄨㄟ2"
+ ],
+ "𡚊": [
+ "ㄏㄨㄢ1"
+ ],
+ "𡚌": [
+ "ㄏㄠ4"
+ ],
+ "𡚑": [
+ "ㄍㄨㄥ1"
+ ],
+ "𡚔": [
+ "ㄇㄥ2"
+ ],
+ "𡚗": [
+ "ㄌㄟ3"
+ ],
+ "𡚙": [
+ "ㄉㄧ4"
+ ],
+ "𡚛": [
+ "ㄅㄧㄥ3"
+ ],
+ "𡚜": [
+ "ㄏㄨㄢ1",
+ "ㄎㄢ4"
+ ],
+ "𡚟": [
+ "ㄨㄚ1"
+ ],
+ "𡚠": [
+ "ㄐㄩㄝ2"
+ ],
+ "𡚨": [
+ "ㄔ4"
+ ],
+ "𡚭": [
+ "ㄅㄚ1"
+ ],
+ "𡚮": [
+ "ㄐㄧㄡ3"
+ ],
+ "𡚷": [
+ "ㄉㄧ4"
+ ],
+ "𡚹": [
+ "ㄓㄤ4"
+ ],
+ "𡚻": [
+ "ㄉㄚ4"
+ ],
+ "𡚼": [
+ "ㄕ2"
+ ],
+ "𡚽": [
+ "ㄏㄠ4"
+ ],
+ "𡛌": [
+ "ㄧㄝ4"
+ ],
+ "𡛗": [
+ "ㄅㄧ4"
+ ],
+ "𡛘": [
+ "ㄆㄧ3"
+ ],
+ "𡛙": [
+ "ㄧㄠ3",
+ "ㄧㄠ1"
+ ],
+ "𡛜": [
+ "ㄉㄧ1"
+ ],
+ "𡛝": [
+ "ㄘㄢ4"
+ ],
+ "𡛞": [
+ "ㄆㄧㄣ2"
+ ],
+ "𡛟": [
+ "ㄩㄝ4"
+ ],
+ "𡛠": [
+ "ㄑㄧㄝ1"
+ ],
+ "𡛡": [
+ "ㄆㄧ1"
+ ],
+ "𡛵": [
+ "ㄊㄨㄛ3"
+ ],
+ "𡛶": [
+ "ㄒㄧㄝ4"
+ ],
+ "𡛽": [
+ "ㄧㄝ4"
+ ],
+ "𡜀": [
+ "ㄈㄢ4"
+ ],
+ "𡜁": [
+ "ㄍㄨㄚ1"
+ ],
+ "𡜂": [
+ "ㄏㄨ4"
+ ],
+ "𡜃": [
+ "ㄖㄨ3"
+ ],
+ "𡜉": [
+ "ㄖㄢ3",
+ "ㄖㄢ4"
+ ],
+ "𡜊": [
+ "ㄈㄡ3"
+ ],
+ "𡜋": [
+ "ㄏㄨㄤ1"
+ ],
+ "𡜚": [
+ "ㄖㄨ2"
+ ],
+ "𡜢": [
+ "ㄇㄠ3"
+ ],
+ "𡜥": [
+ "ㄉㄨㄟ1"
+ ],
+ "𡜦": [
+ "ㄏㄨㄟ4"
+ ],
+ "𡜧": [
+ "ㄒㄧ4"
+ ],
+ "𡜨": [
+ "ㄒㄧㄡ1"
+ ],
+ "𡜫": [
+ "ㄖㄢ3"
+ ],
+ "𡜬": [
+ "ㄧ1"
+ ],
+ "𡜯": [
+ "ㄓㄜ2"
+ ],
+ "𡜱": [
+ "ㄐㄧ4"
+ ],
+ "𡜲": [
+ "ㄍㄠ4"
+ ],
+ "𡜳": [
+ "ㄧㄡ4"
+ ],
+ "𡜵": [
+ "ㄆㄨ1"
+ ],
+ "𡝈": [
+ "ㄔㄨ4"
+ ],
+ "𡝉": [
+ "ㄘㄨ1"
+ ],
+ "𡝊": [
+ "ㄓㄜ2"
+ ],
+ "𡝋": [
+ "ㄋㄧㄠ3"
+ ],
+ "𡝍": [
+ "ㄑㄧㄝ4"
+ ],
+ "𡝐": [
+ "ㄔㄚ2"
+ ],
+ "𡝒": [
+ "ㄋㄧㄠ3"
+ ],
+ "𡝓": [
+ "ㄙㄨㄟ1"
+ ],
+ "𡝙": [
+ "ㄔㄚ2"
+ ],
+ "𡝚": [
+ "ㄔㄥ2"
+ ],
+ "𡝛": [
+ "ㄧㄠ2"
+ ],
+ "𡝜": [
+ "ㄉㄨ4"
+ ],
+ "𡝝": [
+ "ㄨㄤ1"
+ ],
+ "𡝟": [
+ "ㄋㄧㄢ4"
+ ],
+ "𡝠": [
+ "ㄇㄧ2"
+ ],
+ "𡝦": [
+ "ㄋㄡ3"
+ ],
+ "𡝧": [
+ "ㄒㄧ4"
+ ],
+ "𡝩": [
+ "ㄧㄠ1"
+ ],
+ "𡝫": [
+ "ㄔㄢ1"
+ ],
+ "𡞘": [
+ "ㄒㄧㄝ4"
+ ],
+ "𡞙": [
+ "ㄇㄧㄝ4"
+ ],
+ "𡞚": [
+ "ㄎㄥ3"
+ ],
+ "𡞜": [
+ "ㄘㄨ4"
+ ],
+ "𡞞": [
+ "ㄕㄥ3"
+ ],
+ "𡞟": [
+ "ㄆㄢ4"
+ ],
+ "𡞠": [
+ "ㄏㄨ4"
+ ],
+ "𡞢": [
+ "ㄎㄜ4"
+ ],
+ "𡞣": [
+ "ㄒㄧㄢ4"
+ ],
+ "𡞥": [
+ "ㄏㄡ2"
+ ],
+ "𡞦": [
+ "ㄑㄩㄥ2"
+ ],
+ "𡞧": [
+ "ㄗㄨㄥ1"
+ ],
+ "𡞪": [
+ "ㄈㄨ2"
+ ],
+ "𡞫": [
+ "ㄋㄞ4"
+ ],
+ "𡞭": [
+ "ㄋㄧ4"
+ ],
+ "𡞯": [
+ "ㄎㄨ3"
+ ],
+ "𡞾": [
+ "ㄋㄣ4"
+ ],
+ "𡟍": [
+ "ㄍㄜ1"
+ ],
+ "𡟑": [
+ "ㄏㄡ2"
+ ],
+ "𡟓": [
+ "ㄞ1"
+ ],
+ "𡟕": [
+ "ㄕ1"
+ ],
+ "𡟞": [
+ "ㄒㄧㄡ1"
+ ],
+ "𡟟": [
+ "ㄘㄨㄥ1"
+ ],
+ "𡟠": [
+ "ㄐㄧㄠ1"
+ ],
+ "𡟢": [
+ "ㄓㄚ2"
+ ],
+ "𡟣": [
+ "ㄒㄧㄠ1"
+ ],
+ "𡟤": [
+ "ㄌㄧㄢ4"
+ ],
+ "𡟥": [
+ "ㄑㄩ3"
+ ],
+ "𡟨": [
+ "ㄕㄢ3"
+ ],
+ "𡟩": [
+ "ㄒㄧㄝ4"
+ ],
+ "𡟫": [
+ "ㄍㄨㄥ4"
+ ],
+ "𡟬": [
+ "ㄇㄧㄝ4"
+ ],
+ "𡟭": [
+ "ㄔㄞ2"
+ ],
+ "𡟯": [
+ "ㄣ1"
+ ],
+ "𡟳": [
+ "ㄉㄡ4"
+ ],
+ "𡠆": [
+ "ㄎㄡ4"
+ ],
+ "𡠊": [
+ "ㄊㄧㄠ2"
+ ],
+ "𡠋": [
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+ ],
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+ ],
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+ "ㄈㄨ2"
+ ],
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+ ],
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+ "ㄧㄤ4"
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+ ],
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+ "ㄌㄡ2"
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+ "ㄕㄠ1"
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+ "ㄅㄨ3"
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+ "ㄒㄧ1"
+ ],
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+ "ㄩㄝ1"
+ ],
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+ "ㄗㄢ1",
+ "ㄘㄢ1"
+ ],
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+ "ㄌㄨㄢ4"
+ ],
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+ ],
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+ "ㄉㄤ4"
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+ ],
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+ "ㄏㄨㄟ3"
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+ "ㄑㄧ4"
+ ],
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+ "ㄩㄣ4",
+ "ㄧㄥ2"
+ ],
+ "𡢚": [
+ "ㄇㄢ4"
+ ],
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+ "ㄇㄛ3"
+ ],
+ "𡢱": [
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+ ],
+ "𡢳": [
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+ ],
+ "𡢹": [
+ "ㄧㄠ1"
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+ ],
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+ "ㄋㄧ4"
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+ "ㄙㄡ1"
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+ "ㄆㄧㄠ1"
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+ "ㄏㄢ4"
+ ],
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+ "ㄧㄠ1"
+ ],
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+ ],
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+ "ㄩㄢ1"
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+ "ㄘㄞ4"
+ ],
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+ "ㄒㄧㄝ4"
+ ],
+ "𡣽": [
+ "ㄧㄢ2"
+ ],
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+ "ㄒㄧㄠ1"
+ ],
+ "𡤋": [
+ "ㄒㄧㄝ4"
+ ],
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+ "ㄌㄧ4"
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+ "ㄈㄢ4"
+ ],
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+ "ㄓㄨ4"
+ ],
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+ "ㄋㄚ4"
+ ],
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+ "ㄓㄨㄢ3"
+ ],
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+ "ㄎㄨㄟ1"
+ ],
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+ "ㄌㄨㄛ2"
+ ],
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+ "ㄑㄧㄚ1"
+ ],
+ "𡤶": [
+ "ㄨㄢ1"
+ ],
+ "𡤽": [
+ "ㄕㄨ3"
+ ],
+ "𡤿": [
+ "ㄔㄥ4",
+ "ㄎㄨㄥ3"
+ ],
+ "𡥁": [
+ "ㄧ4"
+ ],
+ "𡥆": [
+ "ㄏㄠ3",
+ "ㄏㄠ4"
+ ],
+ "𡥈": [
+ "ㄐㄧㄠ4"
+ ],
+ "𡥋": [
+ "ㄏㄨㄟ4"
+ ],
+ "𡥍": [
+ "ㄒㄧㄠ4"
+ ],
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+ "ㄘ2",
+ "ㄗ3"
+ ],
+ "𡥞": [
+ "ㄐㄧ4",
+ "ㄅㄟ4"
+ ],
+ "𡥦": [
+ "ㄋㄧ3",
+ "ㄐㄧㄣ4"
+ ],
+ "𡥨": [
+ "ㄋㄧ3",
+ "ㄐㄧㄣ4"
+ ],
+ "𡥩": [
+ "ㄊㄧ3"
+ ],
+ "𡥶": [
+ "ㄐㄩ4",
+ "ㄖㄨ2"
+ ],
+ "𡥸": [
+ "ㄇㄧㄥ4"
+ ],
+ "𡥽": [
+ "ㄌㄧ2"
+ ],
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+ "ㄓㄨㄥ4"
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+ "ㄒㄩ4"
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+ "ㄑㄩㄥ2"
+ ],
+ "𡦄": [
+ "ㄈㄨ2"
+ ],
+ "𡦆": [
+ "ㄅㄧㄣ4"
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+ "𡦊": [
+ "ㄐㄧ4"
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+ "ㄑㄧ2"
+ ],
+ "𡦎": [
+ "ㄒㄧ4"
+ ],
+ "𡦔": [
+ "ㄉㄥ4"
+ ],
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+ "ㄦ2"
+ ],
+ "𡦛": [
+ "ㄕㄨ2"
+ ],
+ "𡦜": [
+ "ㄊㄨㄥ2"
+ ],
+ "𡦝": [
+ "ㄒㄧㄠ1",
+ "ㄒㄧㄠ2"
+ ],
+ "𡦟": [
+ "ㄆㄧ2"
+ ],
+ "𡦨": [
+ "ㄉㄢ3"
+ ],
+ "𡦪": [
+ "ㄐㄧ2"
+ ],
+ "𡦳": [
+ "ㄒㄧㄠ4"
+ ],
+ "𡦷": [
+ "ㄘㄨㄥ2"
+ ],
+ "𡦻": [
+ "ㄅㄧㄣ1"
+ ],
+ "𡦼": [
+ "ㄖㄨㄥ3"
+ ],
+ "𡧍": [
+ "ㄇㄧㄢ4",
+ "ㄅㄧㄣ1"
+ ],
+ "𡧒": [
+ "ㄇㄧㄢ4"
+ ],
+ "𡧔": [
+ "ㄕㄨ1"
+ ],
+ "𡧕": [
+ "ㄒㄧㄠ2",
+ "ㄕㄡ3"
+ ],
+ "𡧖": [
+ "ㄅㄠ3"
+ ],
+ "𡧗": [
+ "ㄨㄚ4"
+ ],
+ "𡧙": [
+ "ㄆㄠ4"
+ ],
+ "𡧣": [
+ "ㄍㄞ3"
+ ],
+ "𡧥": [
+ "ㄏㄨ1"
+ ],
+ "𡧦": [
+ "ㄏㄥ2"
+ ],
+ "𡧨": [
+ "ㄓㄨ2"
+ ],
+ "𡧩": [
+ "ㄍㄨㄞ1"
+ ],
+ "𡧭": [
+ "ㄍㄨㄟ4",
+ "ㄍㄨㄟ3"
+ ],
+ "𡧹": [
+ "ㄉㄞ4"
+ ],
+ "𡧼": [
+ "ㄅㄧㄣ1"
+ ],
+ "𡧽": [
+ "ㄏㄨㄤ3",
+ "ㄏㄨㄤ1"
+ ],
+ "𡨀": [
+ "ㄔㄚ2"
+ ],
+ "𡨄": [
+ "ㄒㄧㄚ4",
+ "ㄙㄞ1"
+ ],
+ "𡨅": [
+ "ㄐㄩ2"
+ ],
+ "𡨇": [
+ "ㄧㄠ3",
+ "ㄒㄧㄤ3"
+ ],
+ "𡨖": [
+ "ㄈㄣ3"
+ ],
+ "𡨗": [
+ "ㄗㄠ4"
+ ],
+ "𡨛": [
+ "ㄈㄥ1"
+ ],
+ "𡨢": [
+ "ㄐㄩ1"
+ ],
+ "𡨣": [
+ "ㄩ4"
+ ],
+ "𡨩": [
+ "ㄏㄨㄣ1"
+ ],
+ "𡨲": [
+ "ㄐㄧㄝ2"
+ ],
+ "𡨳": [
+ "ㄒㄩㄥ4",
+ "ㄏㄨㄣ4"
+ ],
+ "𡨵": [
+ "ㄋㄞ4"
+ ],
+ "𡨻": [
+ "ㄋㄡ3"
+ ],
+ "𡨽": [
+ "ㄕㄥ3"
+ ],
+ "𡨿": [
+ "ㄩ4"
+ ],
+ "𡩂": [
+ "ㄏㄨㄢ2"
+ ],
+ "𡩃": [
+ "ㄍㄥ3"
+ ],
+ "𡩄": [
+ "ㄨㄢ3"
+ ],
+ "𡩆": [
+ "ㄊㄨㄛ2"
+ ],
+ "𡩇": [
+ "ㄑㄧㄠ1"
+ ],
+ "𡩘": [
+ "ㄧㄣ4"
+ ],
+ "𡩚": [
+ "ㄐㄧㄚ1",
+ "ㄓㄨㄢ4"
+ ],
+ "𡩡": [
+ "ㄙㄨㄛ3"
+ ],
+ "𡩣": [
+ "ㄐㄧㄝ2"
+ ],
+ "𡩤": [
+ "ㄒㄧ1"
+ ],
+ "𡩥": [
+ "ㄨㄥ3"
+ ],
+ "𡩩": [
+ "ㄇㄤ2"
+ ],
+ "𡩶": [
+ "ㄧㄤ2"
+ ],
+ "𡩸": [
+ "ㄧㄠ2"
+ ],
+ "𡩽": [
+ "ㄇㄤ2"
+ ],
+ "𡩾": [
+ "ㄡ1"
+ ],
+ "𡪁": [
+ "ㄢ2"
+ ],
+ "𡪅": [
+ "ㄌㄡ4"
+ ],
+ "𡪑": [
+ "ㄜ4"
+ ],
+ "𡪒": [
+ "ㄗ3"
+ ],
+ "𡪗": [
+ "ㄜ4"
+ ],
+ "𡪙": [
+ "ㄢ4"
+ ],
+ "𡪞": [
+ "ㄏㄨㄛ4"
+ ],
+ "𡪠": [
+ "ㄘㄥ2"
+ ],
+ "𡪰": [
+ "ㄒㄩㄥ4"
+ ],
+ "𡪱": [
+ "ㄐㄧ4"
+ ],
+ "𡪳": [
+ "ㄗㄨㄛ2"
+ ],
+ "𡪵": [
+ "ㄑㄧ2"
+ ],
+ "𡪺": [
+ "ㄓㄥ1"
+ ],
+ "𡫀": [
+ "ㄐㄧ1"
+ ],
+ "𡫁": [
+ "ㄑㄧ1",
+ "ㄔㄣ4"
+ ],
+ "𡫂": [
+ "ㄐㄩㄢ3"
+ ],
+ "𡫃": [
+ "ㄋㄧㄥ2"
+ ],
+ "𡫟": [
+ "ㄙㄜ4"
+ ],
+ "𡫥": [
+ "ㄏㄜ4"
+ ],
+ "𡫦": [
+ "ㄖㄨㄥ3"
+ ],
+ "𡫧": [
+ "ㄑㄧㄣ3"
+ ],
+ "𡫬": [
+ "ㄐㄩ1"
+ ],
+ "𡫯": [
+ "ㄌㄧ4"
+ ],
+ "𡫵": [
+ "ㄕ2"
+ ],
+ "𡫸": [
+ "ㄋㄧ4"
+ ],
+ "𡫹": [
+ "ㄒㄧㄢ2"
+ ],
+ "𡫺": [
+ "ㄈㄨ1"
+ ],
+ "𡫽": [
+ "ㄖㄨ3",
+ "ㄩ4"
+ ],
+ "𡬁": [
+ "ㄒㄩㄥ4"
+ ],
+ "𡬂": [
+ "ㄍㄨㄟ4"
+ ],
+ "𡬄": [
+ "ㄐㄧ4"
+ ],
+ "𡬆": [
+ "ㄇㄥ3",
+ "ㄇㄥ4"
+ ],
+ "𡬇": [
+ "ㄈㄨ1"
+ ],
+ "𡬉": [
+ "ㄙㄞ4"
+ ],
+ "𡬊": [
+ "ㄩ4"
+ ],
+ "𡬋": [
+ "ㄐㄧㄠ4"
+ ],
+ "𡬌": [
+ "ㄇㄥ4"
+ ],
+ "𡬍": [
+ "ㄇㄧ2",
+ "ㄌㄨㄥ2",
+ "ㄇㄧ3"
+ ],
+ "𡬎": [
+ "ㄑㄧㄤ1"
+ ],
+ "𡬐": [
+ "ㄧ2",
+ "ㄇㄧ2"
+ ],
+ "𡬓": [
+ "ㄧ2"
+ ],
+ "𡬕": [
+ "ㄌㄨㄥ2"
+ ],
+ "𡬖": [
+ "ㄏㄢ1"
+ ],
+ "𡬗": [
+ "ㄋㄧ4"
+ ],
+ "𡬘": [
+ "ㄌㄠ4"
+ ],
+ "𡬙": [
+ "ㄙㄥ4"
+ ],
+ "𡬜": [
+ "ㄌㄧㄣ3"
+ ],
+ "𡬞": [
+ "ㄩ4"
+ ],
+ "𡬥": [
+ "ㄋㄨㄛ2"
+ ],
+ "𡬫": [
+ "ㄨ4"
+ ],
+ "𡬯": [
+ "ㄅㄧㄢ3"
+ ],
+ "𡬲": [
+ "ㄅㄧㄢ3"
+ ],
+ "𡬳": [
+ "ㄒㄩㄢ1",
+ "ㄕㄡ4"
+ ],
+ "𡬵": [
+ "ㄐㄧㄢ1"
+ ],
+ "𡬸": [
+ "ㄅㄧㄢ3"
+ ],
+ "𡭂": [
+ "ㄉㄜ2"
+ ],
+ "𡭇": [
+ "ㄓㄨㄢ1"
+ ],
+ "𡭋": [
+ "ㄖㄨㄥ3"
+ ],
+ "𡭐": [
+ "ㄕㄨㄢ4"
+ ],
+ "𡭘": [
+ "ㄐㄧㄚ1"
+ ],
+ "𡭛": [
+ "ㄏㄨㄟ3"
+ ],
+ "𡭞": [
+ "ㄓㄢ1"
+ ],
+ "𡭢": [
+ "ㄅㄞ4"
+ ],
+ "𡭣": [
+ "ㄌㄧㄝ4"
+ ],
+ "𡭥": [
+ "ㄒㄧㄝ1"
+ ],
+ "𡭭": [
+ "ㄐㄧㄢ3"
+ ],
+ "𡭮": [
+ "ㄕㄡ3"
+ ],
+ "𡭳": [
+ "ㄎㄠ4"
+ ],
+ "𡭷": [
+ "ㄍㄨㄢ1"
+ ],
+ "𡭸": [
+ "ㄌㄨㄢ4"
+ ],
+ "𡭾": [
+ "ㄋㄡ3"
+ ],
+ "𡭿": [
+ "ㄔㄤ3"
+ ],
+ "𡮎": [
+ "ㄌㄧㄤ2"
+ ],
+ "𡮙": [
+ "ㄋㄞ4"
+ ],
+ "𡮚": [
+ "ㄖㄨ3"
+ ],
+ "𡮞": [
+ "ㄓ4"
+ ],
+ "𡮦": [
+ "ㄘㄠ2"
+ ],
+ "𡮰": [
+ "ㄌㄧ4"
+ ],
+ "𡮻": [
+ "ㄌㄢ2"
+ ],
+ "𡮿": [
+ "ㄔㄢ1"
+ ],
+ "𡯁": [
+ "ㄨㄤ1"
+ ],
+ "𡯄": [
+ "ㄌㄧ4"
+ ],
+ "𡯇": [
+ "ㄨ4"
+ ],
+ "𡯈": [
+ "ㄆㄠ2"
+ ],
+ "𡯉": [
+ "ㄧㄡ4"
+ ],
+ "𡯋": [
+ "ㄍㄢ1"
+ ],
+ "𡯏": [
+ "ㄢ1"
+ ],
+ "𡯐": [
+ "ㄒㄧㄡ1"
+ ],
+ "𡯑": [
+ "ㄕㄨㄟ3",
+ "ㄓㄨㄟ3"
+ ],
+ "𡯒": [
+ "ㄖㄨㄟ3"
+ ],
+ "𡯘": [
+ "ㄅㄢ3"
+ ],
+ "𡯙": [
+ "ㄧㄡ2"
+ ],
+ "𡯢": [
+ "ㄏㄨㄛ2"
+ ],
+ "𡯥": [
+ "ㄏㄨㄟ1"
+ ],
+ "𡯨": [
+ "ㄗㄨㄛ4"
+ ],
+ "𡯩": [
+ "ㄒㄧㄠ1"
+ ],
+ "𡯫": [
+ "ㄇㄧㄢ2"
+ ],
+ "𡯰": [
+ "ㄍㄚ4"
+ ],
+ "𡯱": [
+ "ㄩㄢ3"
+ ],
+ "𡯳": [
+ "ㄅㄛ4"
+ ],
+ "𡯴": [
+ "ㄔㄠ4"
+ ],
+ "𡯵": [
+ "ㄊㄨㄟ3",
+ "ㄎㄨㄟ4"
+ ],
+ "𡯷": [
+ "ㄅㄛ4",
+ "ㄎㄡ4"
+ ],
+ "𡯽": [
+ "ㄍㄚ4"
+ ],
+ "𡯿": [
+ "ㄊㄧㄠ1"
+ ],
+ "𡰀": [
+ "ㄋㄚ2"
+ ],
+ "𡰅": [
+ "ㄏㄨ2"
+ ],
+ "𡰆": [
+ "ㄋㄧㄝ4"
+ ],
+ "𡰋": [
+ "ㄏㄨㄟ2"
+ ],
+ "𡰌": [
+ "ㄌㄡ3"
+ ],
+ "𡰎": [
+ "ㄊㄧ2"
+ ],
+ "𡰐": [
+ "ㄑㄧㄠ4"
+ ],
+ "𡰑": [
+ "ㄑㄧㄠ2"
+ ],
+ "𡰒": [
+ "ㄓㄨㄥ3"
+ ],
+ "𡰖": [
+ "ㄉㄧ1"
+ ],
+ "𡰚": [
+ "ㄌㄧㄣ2"
+ ],
+ "𡰝": [
+ "ㄑㄩㄢ2"
+ ],
+ "𡰞": [
+ "ㄓㄨㄢ1"
+ ],
+ "𡰠": [
+ "ㄌㄟ2",
+ "ㄌㄨㄢ2"
+ ],
+ "𡰢": [
+ "ㄒㄧㄝ2"
+ ],
+ "𡰥": [
+ "ㄖㄣ2",
+ "ㄧ2"
+ ],
+ "𡰨": [
+ "ㄉㄤ1"
+ ],
+ "𡰪": [
+ "ㄉㄨ1"
+ ],
+ "𡰫": [
+ "ㄋㄧㄢ3"
+ ],
+ "𡰯": [
+ "ㄕ3",
+ "ㄉㄧㄠ3",
+ "ㄅㄟ3"
+ ],
+ "𡰲": [
+ "ㄒㄧㄢ2"
+ ],
+ "𡰹": [
+ "ㄓ2"
+ ],
+ "𡰽": [
+ "ㄞ4"
+ ],
+ "𡰾": [
+ "ㄘ1"
+ ],
+ "𡰿": [
+ "ㄆㄨ2"
+ ],
+ "𡱁": [
+ "ㄕ3"
+ ],
+ "𡱅": [
+ "ㄑㄩ1"
+ ],
+ "𡱆": [
+ "ㄕㄨ3"
+ ],
+ "𡱇": [
+ "ㄉㄧㄢ1"
+ ],
+ "𡱉": [
+ "ㄒㄧㄠ3"
+ ],
+ "𡱊": [
+ "ㄕㄨㄟ3"
+ ],
+ "𡱌": [
+ "ㄏㄨㄢ2"
+ ],
+ "𡱐": [
+ "ㄧ2"
+ ],
+ "𡱑": [
+ "ㄐㄩㄢ1"
+ ],
+ "𡱔": [
+ "ㄓ3",
+ "ㄑㄧ4"
+ ],
+ "𡱜": [
+ "ㄓㄠ4"
+ ],
+ "𡱣": [
+ "ㄒㄩ4"
+ ],
+ "𡱯": [
+ "ㄌㄨㄥ4"
+ ],
+ "𡱱": [
+ "ㄓㄨ4"
+ ],
+ "𡱳": [
+ "ㄙㄨㄛ3"
+ ],
+ "𡱷": [
+ "ㄉㄧㄝ2"
+ ],
+ "𡱺": [
+ "ㄑㄩ2"
+ ],
+ "𡱼": [
+ "ㄎㄜ4",
+ "ㄎㄨㄚ4"
+ ],
+ "𡱽": [
+ "ㄏㄨ1"
+ ],
+ "𡱾": [
+ "ㄐㄩ1"
+ ],
+ "𡲀": [
+ "ㄑㄧㄥ3"
+ ],
+ "𡲍": [
+ "ㄅㄧㄥ1"
+ ],
+ "𡲕": [
+ "ㄊㄧ4"
+ ],
+ "𡲗": [
+ "ㄐㄩㄝ2"
+ ],
+ "𡲚": [
+ "ㄑㄧㄡ2"
+ ],
+ "𡲣": [
+ "ㄐㄧㄤ4"
+ ],
+ "𡲪": [
+ "ㄩㄣ4"
+ ],
+ "𡲭": [
+ "ㄇㄟ4"
+ ],
+ "𡲮": [
+ "ㄆㄧ1"
+ ],
+ "𡲰": [
+ "ㄑㄩ2"
+ ],
+ "𡲼": [
+ "ㄇㄧ4"
+ ],
+ "𡲿": [
+ "ㄊㄧ4"
+ ],
+ "𡳂": [
+ "ㄎㄞ4"
+ ],
+ "𡳄": [
+ "ㄅㄧ3"
+ ],
+ "𡳆": [
+ "ㄑㄩ1",
+ "ㄑㄩ4"
+ ],
+ "𡳏": [
+ "ㄊㄧㄠ1"
+ ],
+ "𡳑": [
+ "ㄔㄨ4"
+ ],
+ "𡳘": [
+ "ㄐㄩ2"
+ ],
+ "𡳚": [
+ "ㄒㄧ1"
+ ],
+ "𡳞": [
+ "ㄌㄧㄣ4"
+ ],
+ "𡳭": [
+ "ㄔ3"
+ ],
+ "𡳮": [
+ "ㄐㄧ1"
+ ],
+ "𡳴": [
+ "ㄌㄨ2"
+ ],
+ "𡳸": [
+ "ㄌㄧ4"
+ ],
+ "𡳾": [
+ "ㄐㄩㄝ2"
+ ],
+ "𡴅": [
+ "ㄓㄨ1"
+ ],
+ "𡴆": [
+ "ㄌㄨ4"
+ ],
+ "𡴎": [
+ "ㄋㄧㄝ4"
+ ],
+ "𡴔": [
+ "ㄑㄩㄢ2"
+ ],
+ "𡴭": [
+ "ㄧㄚ4"
+ ],
+ "𡴯": [
+ "ㄜ4"
+ ],
+ "𡴱": [
+ "ㄏㄨ4",
+ "ㄐㄧㄝ2"
+ ],
+ "𡵀": [
+ "ㄇㄤ2"
+ ],
+ "𡵉": [
+ "ㄨ4"
+ ],
+ "𡵌": [
+ "ㄔㄚ1"
+ ],
+ "𡵑": [
+ "ㄑㄧㄣ1"
+ ],
+ "𡵒": [
+ "ㄐㄧㄝ2",
+ "ㄑㄧ3"
+ ],
+ "𡵓": [
+ "ㄏㄨㄥ2"
+ ],
+ "𡵕": [
+ "ㄉㄢ1"
+ ],
+ "𡵖": [
+ "ㄣ3"
+ ],
+ "𡵗": [
+ "ㄗㄜ4"
+ ],
+ "𡵘": [
+ "ㄏㄨ4"
+ ],
+ "𡵙": [
+ "ㄤ4"
+ ],
+ "𡵚": [
+ "ㄐㄧㄝ4"
+ ],
+ "𡵛": [
+ "ㄈㄨ4"
+ ],
+ "𡵜": [
+ "ㄩㄥ4"
+ ],
+ "𡵞": [
+ "ㄈㄥ1"
+ ],
+ "𡵬": [
+ "ㄇㄨ4"
+ ],
+ "𡵶": [
+ "ㄙㄜ4"
+ ],
+ "𡵷": [
+ "ㄘㄨㄥ2"
+ ],
+ "𡵻": [
+ "ㄎㄤ1"
+ ],
+ "𡶂": [
+ "ㄧㄠ4"
+ ],
+ "𡶃": [
+ "ㄞ4"
+ ],
+ "𡶄": [
+ "ㄅㄠ1"
+ ],
+ "𡶆": [
+ "ㄆㄛ3"
+ ],
+ "𡶈": [
+ "ㄕ3"
+ ],
+ "𡶉": [
+ "ㄈㄢ4"
+ ],
+ "𡶋": [
+ "ㄐㄩ2"
+ ],
+ "𡶌": [
+ "ㄆㄧ2"
+ ],
+ "𡶎": [
+ "ㄨㄟ4"
+ ],
+ "𡶏": [
+ "ㄎㄨ1"
+ ],
+ "𡶐": [
+ "ㄑㄧㄝ2"
+ ],
+ "𡶑": [
+ "ㄍㄢ1"
+ ],
+ "𡶢": [
+ "ㄎㄨㄤ4"
+ ],
+ "𡶣": [
+ "ㄙㄨㄟ4"
+ ],
+ "𡶤": [
+ "ㄅㄥ1",
+ "ㄩㄥ4"
+ ],
+ "𡶥": [
+ "ㄐㄧㄚ1"
+ ],
+ "𡶦": [
+ "ㄧㄚ4"
+ ],
+ "𡶪": [
+ "ㄎㄢ4"
+ ],
+ "𡶫": [
+ "ㄋㄧㄝ4"
+ ],
+ "𡶭": [
+ "ㄒㄧㄥ2"
+ ],
+ "𡶯": [
+ "ㄒㄧ4"
+ ],
+ "𡶱": [
+ "ㄌㄧㄣ4"
+ ],
+ "𡶲": [
+ "ㄉㄨㄛ3"
+ ],
+ "𡶴": [
+ "ㄔㄢ3"
+ ],
+ "𡷈": [
+ "ㄕ4"
+ ],
+ "𡷋": [
+ "ㄉㄨㄟ4"
+ ],
+ "𡷍": [
+ "ㄐㄧㄤ1"
+ ],
+ "𡷎": [
+ "ㄩ3"
+ ],
+ "𡷏": [
+ "ㄌㄨ4"
+ ],
+ "𡷐": [
+ "ㄣ3"
+ ],
+ "𡷓": [
+ "ㄍㄨ3"
+ ],
+ "𡷕": [
+ "ㄨㄟ3"
+ ],
+ "𡷖": [
+ "ㄔㄜ1"
+ ],
+ "𡷗": [
+ "ㄏㄨㄢ4",
+ "ㄏㄨㄢ2"
+ ],
+ "𡷘": [
+ "ㄅㄧㄝ2"
+ ],
+ "𡷛": [
+ "ㄏㄢ4"
+ ],
+ "𡷜": [
+ "ㄊㄨㄟ2"
+ ],
+ "𡷝": [
+ "ㄋㄚ4"
+ ],
+ "𡷞": [
+ "ㄑㄧ3"
+ ],
+ "𡷠": [
+ "ㄊㄡ2"
+ ],
+ "𡷡": [
+ "ㄩㄢ1"
+ ],
+ "𡷢": [
+ "ㄨㄤ2"
+ ],
+ "𡷤": [
+ "ㄨ2"
+ ],
+ "𡷥": [
+ "ㄍㄠ4"
+ ],
+ "𡷨": [
+ "ㄎㄥ1",
+ "ㄒㄧㄥ2"
+ ],
+ "𡷪": [
+ "ㄧ2",
+ "ㄋㄧㄥ2"
+ ],
+ "𡷸": [
+ "ㄒㄧㄠ1"
+ ],
+ "𡷺": [
+ "ㄍㄨㄟ3"
+ ],
+ "𡷻": [
+ "ㄧㄚ4"
+ ],
+ "𡷼": [
+ "ㄙㄨㄟ4"
+ ],
+ "𡷽": [
+ "ㄙㄨㄥ3"
+ ],
+ "𡷿": [
+ "ㄓㄨㄛ2"
+ ],
+ "𡸂": [
+ "ㄊㄨ1",
+ "ㄊㄨ2"
+ ],
+ "𡸃": [
+ "ㄒㄧㄢ3",
+ "ㄐㄧㄢ3"
+ ],
+ "𡸈": [
+ "ㄗㄜ4"
+ ],
+ "𡸉": [
+ "ㄌㄧ4"
+ ],
+ "𡸌": [
+ "ㄓㄨ4"
+ ],
+ "𡸎": [
+ "ㄐㄧㄝ2"
+ ],
+ "𡸑": [
+ "ㄊㄧ4"
+ ],
+ "𡸔": [
+ "ㄒㄧㄝ2"
+ ],
+ "𡸕": [
+ "ㄑㄩㄥ2"
+ ],
+ "𡸗": [
+ "ㄧㄚ4"
+ ],
+ "𡸘": [
+ "ㄐㄩ1"
+ ],
+ "𡸛": [
+ "ㄧㄣ2"
+ ],
+ "𡸜": [
+ "ㄓ2"
+ ],
+ "𡸞": [
+ "ㄎㄢ3"
+ ],
+ "𡸟": [
+ "ㄗ1"
+ ],
+ "𡸡": [
+ "ㄎㄜ1"
+ ],
+ "𡸣": [
+ "ㄋㄧㄝ4"
+ ],
+ "𡸤": [
+ "ㄑㄧㄤ2"
+ ],
+ "𡸥": [
+ "ㄨㄢ3"
+ ],
+ "𡸦": [
+ "ㄗㄜ2"
+ ],
+ "𡸨": [
+ "ㄐㄩ1"
+ ],
+ "𡸪": [
+ "ㄗ4"
+ ],
+ "𡹄": [
+ "ㄧㄚ4"
+ ],
+ "𡹇": [
+ "ㄌㄧㄣ2"
+ ],
+ "𡹉": [
+ "ㄑㄧ2"
+ ],
+ "𡹎": [
+ "ㄏㄨㄟ2"
+ ],
+ "𡹓": [
+ "ㄑㄧ4"
+ ],
+ "𡹕": [
+ "ㄧㄤ2"
+ ],
+ "𡹖": [
+ "ㄙㄨㄟ4"
+ ],
+ "𡹘": [
+ "ㄑㄧ3"
+ ],
+ "𡹙": [
+ "ㄍㄨㄟ1"
+ ],
+ "𡹢": [
+ "ㄑㄧㄣ4"
+ ],
+ "𡹣": [
+ "ㄜ1"
+ ],
+ "𡹥": [
+ "ㄗㄨㄛ4"
+ ],
+ "𡹨": [
+ "ㄗㄜ4"
+ ],
+ "𡹩": [
+ "ㄑㄧ4"
+ ],
+ "𡹪": [
+ "ㄐㄧ2"
+ ],
+ "𡹬": [
+ "ㄊㄨㄛ2"
+ ],
+ "𡹭": [
+ "ㄉㄧㄝ2"
+ ],
+ "𡹯": [
+ "ㄏㄨㄟ4"
+ ],
+ "𡹰": [
+ "ㄇㄠ2"
+ ],
+ "𡹲": [
+ "ㄒㄩ3"
+ ],
+ "𡹵": [
+ "ㄏㄡ2"
+ ],
+ "𡹶": [
+ "ㄧㄢ3"
+ ],
+ "𡹷": [
+ "ㄒㄧㄤ2"
+ ],
+ "𡹸": [
+ "ㄘㄨㄥ1"
+ ],
+ "𡹹": [
+ "ㄏㄨ2"
+ ],
+ "𡹼": [
+ "ㄢ4",
+ "ㄧㄢ3"
+ ],
+ "𡹾": [
+ "ㄅㄧㄥ3"
+ ],
+ "𡺇": [
+ "ㄉㄨㄛ3"
+ ],
+ "𡺐": [
+ "ㄓㄨ3"
+ ],
+ "𡺑": [
+ "ㄉㄧㄝ2"
+ ],
+ "𡺒": [
+ "ㄧㄡ1"
+ ],
+ "𡺓": [
+ "ㄑㄧ3"
+ ],
+ "𡺔": [
+ "ㄕ2"
+ ],
+ "𡺕": [
+ "ㄒㄩㄣ1"
+ ],
+ "𡺖": [
+ "ㄧㄡ1"
+ ],
+ "𡺗": [
+ "ㄎㄢ1"
+ ],
+ "𡺘": [
+ "ㄑㄧㄠ3"
+ ],
+ "𡺛": [
+ "ㄑㄧㄤ1",
+ "ㄏㄨㄚ4"
+ ],
+ "𡺜": [
+ "ㄆㄣ2"
+ ],
+ "𡺟": [
+ "ㄑㄩㄢ2"
+ ],
+ "𡺡": [
+ "ㄧㄥ2"
+ ],
+ "𡺧": [
+ "ㄕㄚ1"
+ ],
+ "𡺫": [
+ "ㄊㄠ1"
+ ],
+ "𡺭": [
+ "ㄏㄨㄥ4"
+ ],
+ "𡺮": [
+ "ㄆㄧ3"
+ ],
+ "𡺯": [
+ "ㄧㄠ2"
+ ],
+ "𡺴": [
+ "ㄊㄨ2"
+ ],
+ "𡺵": [
+ "ㄔㄞ2"
+ ],
+ "𡺷": [
+ "ㄒㄧㄚ4"
+ ],
+ "𡺸": [
+ "ㄑㄧ2"
+ ],
+ "𡺺": [
+ "ㄑㄩㄥ2"
+ ],
+ "𡺽": [
+ "ㄐㄧㄣ4"
+ ],
+ "𡻈": [
+ "ㄓㄣ1"
+ ],
+ "𡻌": [
+ "ㄓㄨ1"
+ ],
+ "𡻎": [
+ "ㄒㄧ1"
+ ],
+ "𡻐": [
+ "ㄨㄥ1"
+ ],
+ "𡻑": [
+ "ㄓㄨㄥ3"
+ ],
+ "𡻕": [
+ "ㄙㄨㄟ4"
+ ],
+ "𡻘": [
+ "ㄎㄜ1"
+ ],
+ "𡻙": [
+ "ㄎㄨㄛ4"
+ ],
+ "𡻚": [
+ "ㄎㄤ3"
+ ],
+ "𡻝": [
+ "ㄔㄠ2"
+ ],
+ "𡻞": [
+ "ㄅㄧ4"
+ ],
+ "𡻟": [
+ "ㄇㄛ4"
+ ],
+ "𡻠": [
+ "ㄓㄨ4"
+ ],
+ "𡻡": [
+ "ㄏㄢ4",
+ "ㄧㄢ2"
+ ],
+ "𡻢": [
+ "ㄩ3"
+ ],
+ "𡻣": [
+ "ㄧ2"
+ ],
+ "𡻤": [
+ "ㄇㄚ2"
+ ],
+ "𡻧": [
+ "ㄑㄧ4"
+ ],
+ "𡻨": [
+ "ㄍㄨㄣ4"
+ ],
+ "𡻩": [
+ "ㄇㄢ4"
+ ],
+ "𡻪": [
+ "ㄌㄧㄠ2",
+ "ㄌㄧㄡ4"
+ ],
+ "𡻫": [
+ "ㄌㄧㄣ2"
+ ],
+ "𡻬": [
+ "ㄗㄨ2"
+ ],
+ "𡻭": [
+ "ㄌㄟ3"
+ ],
+ "𡻮": [
+ "ㄏㄨ4"
+ ],
+ "𡻯": [
+ "ㄔㄨㄤ3"
+ ],
+ "𡻰": [
+ "ㄑㄧ4"
+ ],
+ "𡻱": [
+ "ㄌㄟ2"
+ ],
+ "𡼁": [
+ "ㄔ1"
+ ],
+ "𡼃": [
+ "ㄆㄛ2"
+ ],
+ "𡼄": [
+ "ㄉㄧㄝ2"
+ ],
+ "𡼊": [
+ "ㄌㄟ3"
+ ],
+ "𡼎": [
+ "ㄧ3"
+ ],
+ "𡼓": [
+ "ㄉㄧㄢ4"
+ ],
+ "𡼖": [
+ "ㄉㄨㄣ1"
+ ],
+ "𡼗": [
+ "ㄍㄠ1"
+ ],
+ "𡼘": [
+ "ㄏㄨ1"
+ ],
+ "𡼚": [
+ "ㄒㄧㄠ1"
+ ],
+ "𡼛": [
+ "ㄍㄚ2"
+ ],
+ "𡼜": [
+ "ㄆㄥ1"
+ ],
+ "𡼬": [
+ "ㄕㄣ3"
+ ],
+ "𡼱": [
+ "ㄨㄟ2"
+ ],
+ "𡼻": [
+ "ㄉㄨㄟ4"
+ ],
+ "𡼼": [
+ "ㄔㄠ2"
+ ],
+ "𡼽": [
+ "ㄧㄣ3"
+ ],
+ "𡼾": [
+ "ㄎㄨㄞ4"
+ ],
+ "𡼿": [
+ "ㄎㄨ1"
+ ],
+ "𡽁": [
+ "ㄗㄨㄟ4"
+ ],
+ "𡽂": [
+ "ㄍㄨ3"
+ ],
+ "𡽅": [
+ "ㄩㄣ4"
+ ],
+ "𡽆": [
+ "ㄓ4"
+ ],
+ "𡽉": [
+ "ㄐㄧ4"
+ ],
+ "𡽊": [
+ "ㄔㄥ1"
+ ],
+ "𡽖": [
+ "ㄒㄧㄝ4"
+ ],
+ "𡽛": [
+ "ㄗㄨㄟ3"
+ ],
+ "𡽜": [
+ "ㄢ2"
+ ],
+ "𡽝": [
+ "ㄏㄠ1"
+ ],
+ "𡽠": [
+ "ㄆㄛ3"
+ ],
+ "𡽢": [
+ "ㄉㄧ2"
+ ],
+ "𡽣": [
+ "ㄧㄝ4"
+ ],
+ "𡽧": [
+ "ㄋㄠ2"
+ ],
+ "𡽱": [
+ "ㄐㄧㄝ2"
+ ],
+ "𡽲": [
+ "ㄅㄤ4"
+ ],
+ "𡽳": [
+ "ㄌㄢ3"
+ ],
+ "𡽴": [
+ "ㄘㄤ2"
+ ],
+ "𡽶": [
+ "ㄅㄧ4"
+ ],
+ "𡽻": [
+ "ㄓㄢ3"
+ ],
+ "𡽼": [
+ "ㄑㄧ4"
+ ],
+ "𡾂": [
+ "ㄋㄠ2"
+ ],
+ "𡾅": [
+ "ㄌㄩ4"
+ ],
+ "𡾇": [
+ "ㄎㄨㄤ4"
+ ],
+ "𡾉": [
+ "ㄇㄛ2"
+ ],
+ "𡾋": [
+ "ㄌㄟ3",
+ "ㄌㄟ2"
+ ],
+ "𡾌": [
+ "ㄆㄠ2"
+ ],
+ "𡾒": [
+ "ㄌㄧ4"
+ ],
+ "𡾓": [
+ "ㄘㄥ2"
+ ],
+ "𡾕": [
+ "ㄉㄤ4"
+ ],
+ "𡾖": [
+ "ㄌㄟ3"
+ ],
+ "𡾙": [
+ "ㄜ4"
+ ],
+ "𡾛": [
+ "ㄅㄥ4"
+ ],
+ "𡾜": [
+ "ㄐㄩㄝ2",
+ "ㄏㄨㄛ4"
+ ],
+ "𡾥": [
+ "ㄒㄩㄢ2"
+ ],
+ "𡾦": [
+ "ㄋㄧㄝ4"
+ ],
+ "𡾨": [
+ "ㄏㄞ4"
+ ],
+ "𡾮": [
+ "ㄒㄧㄢ3"
+ ],
+ "𡾰": [
+ "ㄐㄧㄢ3"
+ ],
+ "𡾱": [
+ "ㄇㄧ2"
+ ],
+ "𡾲": [
+ "ㄋㄧㄝ4"
+ ],
+ "𡾻": [
+ "ㄘㄤ2"
+ ],
+ "𡾼": [
+ "ㄙㄨㄥ3"
+ ],
+ "𡾽": [
+ "ㄗㄥ1"
+ ],
+ "𡾾": [
+ "ㄧ4"
+ ],
+ "𡿂": [
+ "ㄔㄨㄥ2"
+ ],
+ "𡿄": [
+ "ㄘㄤ2"
+ ],
+ "𡿉": [
+ "ㄌㄟ3"
+ ],
+ "𡿊": [
+ "ㄋㄨㄛ2"
+ ],
+ "𡿋": [
+ "ㄌㄧ4"
+ ],
+ "𡿎": [
+ "ㄌㄧ2"
+ ],
+ "𡿏": [
+ "ㄌㄨㄛ2"
+ ],
+ "𡿓": [
+ "ㄊㄤ3"
+ ],
+ "𡿖": [
+ "ㄋㄧㄝ4",
+ "ㄧㄚ4"
+ ],
+ "𡿗": [
+ "ㄋㄧㄝ4"
+ ],
+ "𡿙": [
+ "ㄐㄧ1"
+ ],
+ "𡿛": [
+ "ㄌㄟ3"
+ ],
+ "𡿝": [
+ "ㄋㄤ4"
+ ],
+ "𡿠": [
+ "ㄌㄧㄣ2"
+ ],
+ "𡿡": [
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+ "ㄋㄟ4"
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+ ],
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+ "ㄅㄛ1"
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+ "ㄘㄨㄟ4"
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+ "ㄧ4"
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+ ],
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+ "ㄌㄨ4"
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+ "ㄧㄣ2"
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+ "ㄩㄢ4"
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+ "ㄇㄠ4"
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+ "ㄑㄧㄢ4"
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+ "ㄧ4"
+ ],
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+ ],
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+ "ㄅㄟ1"
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+ "ㄏㄨㄛ4"
+ ],
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+ "ㄘㄨㄥ2"
+ ],
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+ "ㄎㄨㄥ1"
+ ],
+ "𢃕": [
+ "ㄊㄚ4"
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+ "ㄏㄢ4"
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+ "ㄑㄧㄢ4"
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+ ],
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+ "ㄙㄜ4"
+ ],
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+ ],
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+ ],
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+ "ㄐㄩㄢ3"
+ ],
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+ "ㄐㄧㄢ1"
+ ],
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+ "ㄇㄧㄢ3"
+ ],
+ "𢃯": [
+ "ㄍㄨㄟ3"
+ ],
+ "𢃰": [
+ "ㄕ4"
+ ],
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+ "ㄇㄡ2"
+ ],
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+ ],
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+ "ㄅㄚ3"
+ ],
+ "𢃴": [
+ "ㄌㄚ4"
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+ ],
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+ ],
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+ "ㄗㄠ3"
+ ],
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+ "ㄓㄚ1"
+ ],
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+ "ㄧ4"
+ ],
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+ "ㄍㄡ3"
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+ "ㄍㄨㄟ1"
+ ],
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+ "ㄧㄥ1"
+ ],
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+ "ㄕㄞ3"
+ ],
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+ "ㄏㄜ2",
+ "ㄍㄜ2"
+ ],
+ "𢄎": [
+ "ㄅㄤ4"
+ ],
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+ "ㄇㄛ4"
+ ],
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+ "ㄇㄥ2"
+ ],
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+ "ㄨ4"
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+ "ㄉㄞ4"
+ ],
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+ "ㄐㄩㄥ3"
+ ],
+ "𢄜": [
+ "ㄏㄢ4"
+ ],
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+ "ㄊㄨㄥ1"
+ ],
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+ "ㄎㄡ1"
+ ],
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+ "ㄌㄧ2"
+ ],
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+ "ㄓ4"
+ ],
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+ "ㄏㄨㄟ4"
+ ],
+ "𢄤": [
+ "ㄗㄢ3"
+ ],
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+ "ㄉㄧㄠ3"
+ ],
+ "𢄧": [
+ "ㄘㄨ4"
+ ],
+ "𢄱": [
+ "ㄓ4"
+ ],
+ "𢄳": [
+ "ㄎㄨㄚ3"
+ ],
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+ "ㄒㄧㄤ4"
+ ],
+ "𢄶": [
+ "ㄏㄨㄚ4"
+ ],
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+ "ㄌㄧㄠ2"
+ ],
+ "𢄸": [
+ "ㄘㄨㄟ4"
+ ],
+ "𢄹": [
+ "ㄑㄧㄠ1"
+ ],
+ "𢄺": [
+ "ㄐㄧㄠ3"
+ ],
+ "𢄼": [
+ "ㄒㄩ1"
+ ],
+ "𢄽": [
+ "ㄦ4"
+ ],
+ "𢄿": [
+ "ㄊㄨㄛ1"
+ ],
+ "𢅀": [
+ "ㄊㄢ2"
+ ],
+ "𢅁": [
+ "ㄓ4"
+ ],
+ "𢅈": [
+ "ㄋㄠ3"
+ ],
+ "𢅉": [
+ "ㄇㄠ4"
+ ],
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+ "ㄉㄧ4"
+ ],
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+ "ㄘㄥ2"
+ ],
+ "𢅎": [
+ "ㄐㄧㄠ3"
+ ],
+ "𢅏": [
+ "ㄌㄧㄢ2"
+ ],
+ "𢅑": [
+ "ㄕㄚ1"
+ ],
+ "𢅒": [
+ "ㄉㄢ4"
+ ],
+ "𢅕": [
+ "ㄙㄨㄟ4"
+ ],
+ "𢅖": [
+ "ㄌㄧㄢ2"
+ ],
+ "𢅗": [
+ "ㄍㄨㄛ4"
+ ],
+ "𢅚": [
+ "ㄅㄧㄠ3",
+ "ㄅㄧㄠ1"
+ ],
+ "𢅜": [
+ "ㄘ4"
+ ],
+ "𢅝": [
+ "ㄉㄧㄢ4"
+ ],
+ "𢅞": [
+ "ㄌㄩ4"
+ ],
+ "𢅟": [
+ "ㄋㄧ3"
+ ],
+ "𢅠": [
+ "ㄧㄢ3"
+ ],
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+ "ㄌㄢ2"
+ ],
+ "𢅤": [
+ "ㄍㄞ4"
+ ],
+ "𢅥": [
+ "ㄔㄨ2"
+ ],
+ "𢅩": [
+ "ㄅㄧ4"
+ ],
+ "𢅪": [
+ "ㄗㄨ2"
+ ],
+ "𢅫": [
+ "ㄏㄨㄟ4"
+ ],
+ "𢅭": [
+ "ㄌㄞ3"
+ ],
+ "𢅮": [
+ "ㄒㄧㄢ2"
+ ],
+ "𢅯": [
+ "ㄈㄣ4"
+ ],
+ "𢅰": [
+ "ㄏㄜ4"
+ ],
+ "𢅹": [
+ "ㄧㄠ4"
+ ],
+ "𢅺": [
+ "ㄓㄢ3"
+ ],
+ "𢅼": [
+ "ㄋㄟ2"
+ ],
+ "𢅾": [
+ "ㄌㄨㄛ3"
+ ],
+ "𢆀": [
+ "ㄩㄢ2"
+ ],
+ "𢆂": [
+ "ㄋㄥ2"
+ ],
+ "𢆉": [
+ "ㄖㄣ3"
+ ],
+ "𢆜": [
+ "ㄍㄜ2"
+ ],
+ "𢆞": [
+ "ㄐㄧㄢ3"
+ ],
+ "𢆟": [
+ "ㄆㄧㄥ2"
+ ],
+ "𢆣": [
+ "ㄅㄧㄝ4"
+ ],
+ "𢆦": [
+ "ㄐㄧㄢ4"
+ ],
+ "𢆩": [
+ "ㄅㄧㄥ4"
+ ],
+ "𢆯": [
+ "ㄇㄧ4",
+ "ㄒㄩㄢ2"
+ ],
+ "𢆰": [
+ "ㄏㄨ4"
+ ],
+ "𢆴": [
+ "ㄉㄧㄠ3"
+ ],
+ "𢆶": [
+ "ㄧㄡ1",
+ "ㄗ1"
+ ],
+ "𢆷": [
+ "ㄧㄠ1",
+ "ㄇㄧㄠ4"
+ ],
+ "𢆸": [
+ "ㄅㄥ1"
+ ],
+ "𢆺": [
+ "ㄔㄣ2"
+ ],
+ "𢆻": [
+ "ㄐㄧ1",
+ "ㄉㄨㄟ4"
+ ],
+ "𢆽": [
+ "ㄧㄠ1"
+ ],
+ "𢇇": [
+ "ㄍㄨㄢ1"
+ ],
+ "𢇈": [
+ "ㄧㄢ4"
+ ],
+ "𢇕": [
+ "ㄔ3"
+ ],
+ "𢇗": [
+ "ㄕㄚ4"
+ ],
+ "𢇘": [
+ "ㄧㄢ3"
+ ],
+ "𢇙": [
+ "ㄧ4"
+ ],
+ "𢇚": [
+ "ㄧ4"
+ ],
+ "𢇛": [
+ "ㄔㄜ4",
+ "ㄔ3"
+ ],
+ "𢇞": [
+ "ㄏㄢ4"
+ ],
+ "𢇟": [
+ "ㄏㄨㄤ1"
+ ],
+ "𢇤": [
+ "ㄕㄨㄟ4"
+ ],
+ "𢇥": [
+ "ㄙㄨㄟ4"
+ ],
+ "𢇦": [
+ "ㄖㄣ2"
+ ],
+ "𢇧": [
+ "ㄊㄢ2"
+ ],
+ "𢇨": [
+ "ㄓ3"
+ ],
+ "𢇪": [
+ "ㄈㄢ4"
+ ],
+ "𢇫": [
+ "ㄈㄥ3"
+ ],
+ "𢇰": [
+ "ㄊㄢ2"
+ ],
+ "𢇲": [
+ "ㄇㄧ2"
+ ],
+ "𢇳": [
+ "ㄆㄧ2"
+ ],
+ "𢇴": [
+ "ㄅㄨ4"
+ ],
+ "𢇵": [
+ "ㄋㄚ4"
+ ],
+ "𢇶": [
+ "ㄊㄧㄢ2"
+ ],
+ "𢇷": [
+ "ㄅㄚ2"
+ ],
+ "𢇸": [
+ "ㄧ4"
+ ],
+ "𢈂": [
+ "ㄧㄢ3"
+ ],
+ "𢈄": [
+ "ㄊㄧㄠ1"
+ ],
+ "𢈆": [
+ "ㄧㄠ2"
+ ],
+ "𢈇": [
+ "ㄕㄣ3"
+ ],
+ "𢈈": [
+ "ㄎㄜ1",
+ "ㄨㄚ1"
+ ],
+ "𢈉": [
+ "ㄊㄨㄥ2"
+ ],
+ "𢈋": [
+ "ㄒㄩㄢ3"
+ ],
+ "𢈓": [
+ "ㄧㄡ4"
+ ],
+ "𢈕": [
+ "ㄅㄞ4"
+ ],
+ "𢈙": [
+ "ㄒㄧㄚ2"
+ ],
+ "𢈚": [
+ "ㄌㄩ3"
+ ],
+ "𢈛": [
+ "ㄎㄨㄣ4"
+ ],
+ "𢈜": [
+ "ㄗㄤ1"
+ ],
+ "𢈝": [
+ "ㄑㄧㄡ2"
+ ],
+ "𢈠": [
+ "ㄘㄨ4",
+ "ㄌㄚ4"
+ ],
+ "𢈡": [
+ "ㄗㄨㄟ1"
+ ],
+ "𢈢": [
+ "ㄌㄡ3"
+ ],
+ "𢈤": [
+ "ㄒㄧㄚ2"
+ ],
+ "𢈯": [
+ "ㄕㄣ1"
+ ],
+ "𢈲": [
+ "ㄆㄨ2"
+ ],
+ "𢈴": [
+ "ㄐㄧㄥ1"
+ ],
+ "𢈵": [
+ "ㄑㄧㄤ1"
+ ],
+ "𢈶": [
+ "ㄧ4",
+ "ㄙ1"
+ ],
+ "𢈸": [
+ "ㄋㄧㄝ4"
+ ],
+ "𢈹": [
+ "ㄉㄨㄟ1",
+ "ㄊㄨㄟ2"
+ ],
+ "𢈻": [
+ "ㄐㄧㄝ2"
+ ],
+ "𢈼": [
+ "ㄙㄨㄟ4"
+ ],
+ "𢈽": [
+ "ㄓㄢ4"
+ ],
+ "𢈾": [
+ "ㄘㄡ1"
+ ],
+ "𢉁": [
+ "ㄅㄥ1"
+ ],
+ "𢉂": [
+ "ㄍㄨㄢ1"
+ ],
+ "𢉃": [
+ "ㄕㄜ3"
+ ],
+ "𢉅": [
+ "ㄐㄧㄣ4"
+ ],
+ "𢉆": [
+ "ㄉㄧ4"
+ ],
+ "𢉑": [
+ "ㄉㄢ1"
+ ],
+ "𢉓": [
+ "ㄋㄞ3"
+ ],
+ "𢉕": [
+ "ㄋㄡ2"
+ ],
+ "𢉗": [
+ "ㄐㄧ2"
+ ],
+ "𢉘": [
+ "ㄧㄢ2"
+ ],
+ "𢉚": [
+ "ㄋㄡ4"
+ ],
+ "𢉜": [
+ "ㄉㄨ4",
+ "ㄊㄨ2"
+ ],
+ "𢉝": [
+ "ㄨㄟ4"
+ ],
+ "𢉞": [
+ "ㄆㄧㄢ1"
+ ],
+ "𢉢": [
+ "ㄏㄨ2"
+ ],
+ "𢉤": [
+ "ㄐㄧㄚ4"
+ ],
+ "𢉥": [
+ "ㄧㄝ4"
+ ],
+ "𢉦": [
+ "ㄐㄩㄣ3"
+ ],
+ "𢉧": [
+ "ㄌㄢ2",
+ "ㄌㄧㄢ2"
+ ],
+ "𢉨": [
+ "ㄌㄚ4"
+ ],
+ "𢉩": [
+ "ㄧㄣ1"
+ ],
+ "𢉭": [
+ "ㄊㄨㄟ2"
+ ],
+ "𢉵": [
+ "ㄋㄠ3"
+ ],
+ "𢉺": [
+ "ㄗㄨ3"
+ ],
+ "𢉿": [
+ "ㄇㄚ4"
+ ],
+ "𢊀": [
+ "ㄙ1",
+ "ㄇㄚ4"
+ ],
+ "𢊁": [
+ "ㄓ4"
+ ],
+ "𢊄": [
+ "ㄏㄨㄟ1"
+ ],
+ "𢊅": [
+ "ㄓㄨㄟ4"
+ ],
+ "𢊇": [
+ "ㄏㄨㄟ4"
+ ],
+ "𢊍": [
+ "ㄔㄨ2"
+ ],
+ "𢊏": [
+ "ㄔㄜ4"
+ ],
+ "𢊒": [
+ "ㄒㄧㄡ1"
+ ],
+ "𢊓": [
+ "ㄌㄢ2"
+ ],
+ "𢊕": [
+ "ㄘㄨㄥ1"
+ ],
+ "𢊖": [
+ "ㄕㄣ4"
+ ],
+ "𢊗": [
+ "ㄇㄛ4"
+ ],
+ "𢊘": [
+ "ㄧ1"
+ ],
+ "𢊙": [
+ "ㄧㄠ2"
+ ],
+ "𢊚": [
+ "ㄒㄧ3"
+ ],
+ "𢊛": [
+ "ㄗㄨㄟ3"
+ ],
+ "𢊜": [
+ "ㄅㄧㄥ4"
+ ],
+ "𢊧": [
+ "ㄩ2"
+ ],
+ "𢊩": [
+ "ㄌㄨ4"
+ ],
+ "𢊮": [
+ "ㄊㄨㄟ2"
+ ],
+ "𢊯": [
+ "ㄨㄟ3"
+ ],
+ "𢊱": [
+ "ㄈㄣ2"
+ ],
+ "𢊲": [
+ "ㄕㄣ3"
+ ],
+ "𢊻": [
+ "ㄌㄧㄠ2"
+ ],
+ "𢋂": [
+ "ㄕㄨ3"
+ ],
+ "𢋃": [
+ "ㄉㄢ3"
+ ],
+ "𢋄": [
+ "ㄐㄩㄢ3"
+ ],
+ "𢋅": [
+ "ㄩ2"
+ ],
+ "𢋆": [
+ "ㄒㄧㄣ4"
+ ],
+ "𢋇": [
+ "ㄧㄠ2"
+ ],
+ "𢋈": [
+ "ㄙㄨ1"
+ ],
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+ "ㄏㄨㄛ2"
+ ],
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+ "ㄑㄧㄢ1"
+ ],
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+ "ㄇㄚ2"
+ ],
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+ "ㄎㄞ3"
+ ],
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+ "ㄌㄨ3"
+ ],
+ "𢋣": [
+ "ㄧㄡ1"
+ ],
+ "𢋮": [
+ "ㄒㄧㄢ4"
+ ],
+ "𢋹": [
+ "ㄨ2"
+ ],
+ "𢋻": [
+ "ㄧㄣ3"
+ ],
+ "𢋼": [
+ "ㄒㄧ1"
+ ],
+ "𢋿": [
+ "ㄓㄞ1"
+ ],
+ "𢌀": [
+ "ㄒㄧㄝ4"
+ ],
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+ "ㄑㄩ2"
+ ],
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+ "ㄌㄧ2"
+ ],
+ "𢌍": [
+ "ㄑㄧㄢ1"
+ ],
+ "𢌔": [
+ "ㄌㄧㄥ2"
+ ],
+ "𢌕": [
+ "ㄌㄨㄢ2"
+ ],
+ "𢌚": [
+ "ㄔㄢ1"
+ ],
+ "𢌦": [
+ "ㄓㄥ4"
+ ],
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+ "ㄧㄢ2"
+ ],
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+ "ㄧㄣ4"
+ ],
+ "𢌳": [
+ "ㄎㄨㄟ2"
+ ],
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+ "ㄑㄩ1"
+ ],
+ "𢌹": [
+ "ㄈㄨ2"
+ ],
+ "𢌻": [
+ "ㄩ4"
+ ],
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+ "ㄑㄧ2",
+ "ㄅㄧ4"
+ ],
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+ "ㄑㄧ4",
+ "ㄑㄧㄝ4"
+ ],
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+ "ㄐㄧ4"
+ ],
+ "𢍈": [
+ "ㄩㄢ1",
+ "ㄗㄤ4"
+ ],
+ "𢍎": [
+ "ㄍㄠ4"
+ ],
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+ "ㄐㄩㄢ4"
+ ],
+ "𢍑": [
+ "ㄑㄧ2"
+ ],
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+ "ㄍㄞ3"
+ ],
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+ "ㄑㄩㄢ4"
+ ],
+ "𢍚": [
+ "ㄨㄟ4"
+ ],
+ "𢍧": [
+ "ㄓ4"
+ ],
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+ "ㄐㄧㄢ3"
+ ],
+ "𢍭": [
+ "ㄙ4"
+ ],
+ "𢍰": [
+ "ㄧ4",
+ "ㄗㄜ2"
+ ],
+ "𢍱": [
+ "ㄑㄧㄢ1"
+ ],
+ "𢍼": [
+ "ㄌㄧ4"
+ ],
+ "𢍿": [
+ "ㄗㄤ1"
+ ],
+ "𢎀": [
+ "ㄧ4"
+ ],
+ "𢎂": [
+ "ㄘㄞ2"
+ ],
+ "𢎃": [
+ "ㄧ4"
+ ],
+ "𢎄": [
+ "ㄍㄜ1"
+ ],
+ "𢎆": [
+ "ㄉㄧㄝ2"
+ ],
+ "𢎈": [
+ "ㄓ1"
+ ],
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+ "ㄧ4"
+ ],
+ "𢎋": [
+ "ㄗㄞ1"
+ ],
+ "𢎌": [
+ "ㄉㄞ4"
+ ],
+ "𢎎": [
+ "ㄙㄨ4"
+ ],
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+ "ㄐㄧㄝ2"
+ ],
+ "𢎕": [
+ "ㄔㄣ4"
+ ],
+ "𢎖": [
+ "ㄑㄩ2"
+ ],
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+ "ㄏㄢ4"
+ ],
+ "𢎙": [
+ "ㄒㄧㄢ2"
+ ],
+ "𢎠": [
+ "ㄑㄩㄢ2",
+ "ㄐㄩㄢ4"
+ ],
+ "𢎡": [
+ "ㄐㄧㄝ2"
+ ],
+ "𢎥": [
+ "ㄐㄩㄢ4"
+ ],
+ "𢎪": [
+ "ㄉㄢ4"
+ ],
+ "𢎭": [
+ "ㄐㄧㄣ1"
+ ],
+ "𢎴": [
+ "ㄅㄧㄥ1"
+ ],
+ "𢎵": [
+ "ㄏㄨ2"
+ ],
+ "𢎹": [
+ "ㄐㄩㄝ2"
+ ],
+ "𢎻": [
+ "ㄩ2"
+ ],
+ "𢏃": [
+ "ㄌㄧ3"
+ ],
+ "𢏄": [
+ "ㄑㄧㄤ2"
+ ],
+ "𢏅": [
+ "ㄕㄨㄟ3"
+ ],
+ "𢏆": [
+ "ㄎㄨ1"
+ ],
+ "𢏈": [
+ "ㄓㄣ3"
+ ],
+ "𢏍": [
+ "ㄈㄨ2"
+ ],
+ "𢏎": [
+ "ㄕㄣ1"
+ ],
+ "𢏒": [
+ "ㄔㄨㄟ2"
+ ],
+ "𢏕": [
+ "ㄊㄨㄥ2"
+ ],
+ "𢏗": [
+ "ㄧ4"
+ ],
+ "𢏙": [
+ "ㄧㄤ2"
+ ],
+ "𢏜": [
+ "ㄊㄨㄛ2"
+ ],
+ "𢏝": [
+ "ㄓㄡ1"
+ ],
+ "𢏞": [
+ "ㄐㄧ2"
+ ],
+ "𢏤": [
+ "ㄒㄩㄣ4"
+ ],
+ "𢏦": [
+ "ㄕㄣ3"
+ ],
+ "𢏧": [
+ "ㄒㄩㄢ1"
+ ],
+ "𢏭": [
+ "ㄌㄧㄡ2"
+ ],
+ "𢏮": [
+ "ㄩㄢ1"
+ ],
+ "𢏯": [
+ "ㄏㄨ2",
+ "ㄕ3"
+ ],
+ "𢏰": [
+ "ㄓㄥ4"
+ ],
+ "𢏳": [
+ "ㄆㄥ1",
+ "ㄅㄥ1"
+ ],
+ "𢏷": [
+ "ㄐㄩㄝ2"
+ ],
+ "𢐂": [
+ "ㄓ4"
+ ],
+ "𢐃": [
+ "ㄆㄧㄢ1"
+ ],
+ "𢐄": [
+ "ㄩㄢ4"
+ ],
+ "𢐆": [
+ "ㄐㄧㄢ1"
+ ],
+ "𢐊": [
+ "ㄆㄤ2"
+ ],
+ "𢐎": [
+ "ㄓㄨㄢ4"
+ ],
+ "𢐐": [
+ "ㄒㄧㄢ2"
+ ],
+ "𢐒": [
+ "ㄅㄥ1"
+ ],
+ "𢐔": [
+ "ㄘㄨㄥ1"
+ ],
+ "𢐖": [
+ "ㄇㄛ4"
+ ],
+ "𢐚": [
+ "ㄍㄨㄛ2"
+ ],
+ "𢐞": [
+ "ㄔㄥ2"
+ ],
+ "𢐟": [
+ "ㄑㄧㄠ1"
+ ],
+ "𢐦": [
+ "ㄅㄧ4"
+ ],
+ "𢐩": [
+ "ㄑㄧㄤ3"
+ ],
+ "𢐫": [
+ "ㄓㄡ1"
+ ],
+ "𢐲": [
+ "ㄈㄢ2"
+ ],
+ "𢐳": [
+ "ㄅㄧㄝ1"
+ ],
+ "𢐾": [
+ "ㄅㄛ2"
+ ],
+ "𢐿": [
+ "ㄖㄤ3",
+ "ㄖㄨㄥ3"
+ ],
+ "𢑅": [
+ "ㄉㄧㄥ3"
+ ],
+ "𢑆": [
+ "ㄑㄩㄢ2"
+ ],
+ "𢑇": [
+ "ㄐㄧㄡ4"
+ ],
+ "𢑈": [
+ "ㄧㄠ2"
+ ],
+ "𢑓": [
+ "ㄒㄧㄚ2"
+ ],
+ "𢑖": [
+ "ㄗㄠ3"
+ ],
+ "𢑝": [
+ "ㄉㄢ1"
+ ],
+ "𢑟": [
+ "ㄨ3"
+ ],
+ "𢑠": [
+ "ㄊㄨㄛ2"
+ ],
+ "𢑢": [
+ "ㄏㄨ1"
+ ],
+ "𢑧": [
+ "ㄒㄧ1"
+ ],
+ "𢑬": [
+ "ㄌㄞ2"
+ ],
+ "𢑮": [
+ "ㄈㄟ1"
+ ],
+ "𢑹": [
+ "ㄏㄨ2"
+ ],
+ "𢒆": [
+ "ㄒㄧㄢ1"
+ ],
+ "𢒉": [
+ "ㄕㄢ3"
+ ],
+ "𢒍": [
+ "ㄈㄟ4"
+ ],
+ "𢒐": [
+ "ㄘㄨㄛ4"
+ ],
+ "𢒒": [
+ "ㄈㄨ2"
+ ],
+ "𢒔": [
+ "ㄔㄨ4"
+ ],
+ "𢒝": [
+ "ㄉㄧㄡ1"
+ ],
+ "𢒞": [
+ "ㄌㄢ4"
+ ],
+ "𢒩": [
+ "ㄒㄧ3"
+ ],
+ "𢒯": [
+ "ㄅㄧㄠ1"
+ ],
+ "𢒰": [
+ "ㄩ4"
+ ],
+ "𢒱": [
+ "ㄙㄨㄟ4"
+ ],
+ "𢒲": [
+ "ㄒㄧ3"
+ ],
+ "𢒷": [
+ "ㄆㄡ2"
+ ],
+ "𢒹": [
+ "ㄕㄢ3"
+ ],
+ "𢒾": [
+ "ㄐㄧㄠ4"
+ ],
+ "𢓀": [
+ "ㄧ4"
+ ],
+ "𢓃": [
+ "ㄨㄢ2"
+ ],
+ "𢓄": [
+ "ㄐㄧ3"
+ ],
+ "𢓆": [
+ "ㄨㄢ2"
+ ],
+ "𢓇": [
+ "ㄊㄨㄟ4",
+ "ㄋㄚ4"
+ ],
+ "𢓋": [
+ "ㄤ4"
+ ],
+ "𢓍": [
+ "ㄊㄧㄢ1"
+ ],
+ "𢓎": [
+ "ㄔ2"
+ ],
+ "𢓒": [
+ "ㄖㄢ2"
+ ],
+ "𢓔": [
+ "ㄙㄚ4"
+ ],
+ "𢓕": [
+ "ㄧㄣ2"
+ ],
+ "𢓖": [
+ "ㄆㄧ1"
+ ],
+ "𢓗": [
+ "ㄘ3"
+ ],
+ "𢓘": [
+ "ㄊㄨㄥ2",
+ "ㄊㄠ1"
+ ],
+ "𢓙": [
+ "ㄧㄣ3"
+ ],
+ "𢓜": [
+ "ㄍㄜ2"
+ ],
+ "𢓝": [
+ "ㄊㄧㄠ1"
+ ],
+ "𢓞": [
+ "ㄓㄥ1"
+ ],
+ "𢓟": [
+ "ㄓㄡ4"
+ ],
+ "𢓡": [
+ "ㄧ2",
+ "ㄊㄧ2"
+ ],
+ "𢓢": [
+ "ㄎㄨㄚ4"
+ ],
+ "𢓣": [
+ "ㄙㄨㄥ1"
+ ],
+ "𢓧": [
+ "ㄉㄧ4"
+ ],
+ "𢓬": [
+ "ㄒㄧㄝ2"
+ ],
+ "𢓮": [
+ "ㄒㄧㄠ1"
+ ],
+ "𢓯": [
+ "ㄍㄨㄤ4",
+ "ㄨㄤ3"
+ ],
+ "𢓰": [
+ "ㄊㄨㄛ3"
+ ],
+ "𢓱": [
+ "ㄈㄥ1",
+ "ㄈㄥ4"
+ ],
+ "𢓲": [
+ "ㄨ2",
+ "ㄏㄨ2"
+ ],
+ "𢓵": [
+ "ㄒㄧㄡ4"
+ ],
+ "𢓿": [
+ "ㄧㄡ2"
+ ],
+ "𢔁": [
+ "ㄌㄧㄥ2"
+ ],
+ "𢔂": [
+ "ㄧㄢ4"
+ ],
+ "𢔅": [
+ "ㄉㄨㄥ1"
+ ],
+ "𢔆": [
+ "ㄑㄧ4"
+ ],
+ "𢔇": [
+ "ㄊㄠ2"
+ ],
+ "𢔈": [
+ "ㄏㄢ2"
+ ],
+ "𢔊": [
+ "ㄔ2"
+ ],
+ "𢔋": [
+ "ㄙㄨㄥ1"
+ ],
+ "𢔑": [
+ "ㄑㄩㄢ3"
+ ],
+ "𢔔": [
+ "ㄏㄢ4",
+ "ㄐㄧ2"
+ ],
+ "𢔟": [
+ "ㄖㄡ3",
+ "ㄋㄧㄡ3"
+ ],
+ "𢔠": [
+ "ㄑㄧ4"
+ ],
+ "𢔡": [
+ "ㄎㄞ1"
+ ],
+ "𢔢": [
+ "ㄩ2"
+ ],
+ "𢔣": [
+ "ㄔㄚ1",
+ "ㄕㄚ4"
+ ],
+ "𢔤": [
+ "ㄔㄥ4"
+ ],
+ "𢔥": [
+ "ㄩ4"
+ ],
+ "𢔧": [
+ "ㄅㄧㄥ4"
+ ],
+ "𢔩": [
+ "ㄘㄨㄥ1",
+ "ㄙㄨㄥ3"
+ ],
+ "𢔪": [
+ "ㄓㄨ1"
+ ],
+ "𢔬": [
+ "ㄩ4"
+ ],
+ "𢔱": [
+ "ㄐㄩㄝ2",
+ "ㄑㄩㄝ4"
+ ],
+ "𢔲": [
+ "ㄌㄧㄡ4"
+ ],
+ "𢔳": [
+ "ㄙㄠ1"
+ ],
+ "𢔴": [
+ "ㄩ4"
+ ],
+ "𢕅": [
+ "ㄕㄨㄞ4"
+ ],
+ "𢕋": [
+ "ㄩㄢ4"
+ ],
+ "𢕎": [
+ "ㄓㄤ1"
+ ],
+ "𢕑": [
+ "ㄕㄨㄞ4"
+ ],
+ "𢕓": [
+ "ㄔㄨ3"
+ ],
+ "𢕔": [
+ "ㄓㄤ1",
+ "ㄓㄤ4"
+ ],
+ "𢕕": [
+ "ㄙㄢ3",
+ "ㄙㄢ4"
+ ],
+ "𢕖": [
+ "ㄒㄧㄢ1"
+ ],
+ "𢕘": [
+ "ㄘㄨㄟ1"
+ ],
+ "𢕙": [
+ "ㄇㄥ3"
+ ],
+ "𢕚": [
+ "ㄉㄧ2"
+ ],
+ "𢕞": [
+ "ㄓ4"
+ ],
+ "𢕟": [
+ "ㄠ4"
+ ],
+ "𢕦": [
+ "ㄒㄧㄡ1"
+ ],
+ "𢕨": [
+ "ㄆㄧㄢ2"
+ ],
+ "𢕪": [
+ "ㄐㄧㄠ4"
+ ],
+ "𢕫": [
+ "ㄎㄨㄢ3"
+ ],
+ "𢕬": [
+ "ㄙㄚ4"
+ ],
+ "𢕭": [
+ "ㄒㄧㄢ4"
+ ],
+ "𢕮": [
+ "ㄓㄚ4"
+ ],
+ "𢕯": [
+ "ㄉㄧㄢ4"
+ ],
+ "𢕷": [
+ "ㄧ2"
+ ],
+ "𢕺": [
+ "ㄏㄨㄟ4"
+ ],
+ "𢕻": [
+ "ㄕㄢ4"
+ ],
+ "𢖄": [
+ "ㄔㄨㄥ2"
+ ],
+ "𢖅": [
+ "ㄧ2"
+ ],
+ "𢖆": [
+ "ㄒㄧㄝ4"
+ ],
+ "𢖇": [
+ "ㄓ4"
+ ],
+ "𢖈": [
+ "ㄊㄧㄠ4"
+ ],
+ "𢖊": [
+ "ㄆㄧㄥ1"
+ ],
+ "𢖋": [
+ "ㄒㄧㄢ2"
+ ],
+ "𢖎": [
+ "ㄒㄧㄢ1"
+ ],
+ "𢖏": [
+ "ㄙㄨ4"
+ ],
+ "𢖑": [
+ "ㄘㄨㄢ2"
+ ],
+ "𢖗": [
+ "ㄙㄨㄥ3"
+ ],
+ "𢖛": [
+ "ㄏㄟ1"
+ ],
+ "𢖝": [
+ "ㄒㄧㄢ4"
+ ],
+ "𢖟": [
+ "ㄧㄡ2"
+ ],
+ "𢖡": [
+ "ㄩ4"
+ ],
+ "𢖤": [
+ "ㄊㄞ2"
+ ],
+ "𢖦": [
+ "ㄐㄩㄝ2"
+ ],
+ "𢖧": [
+ "ㄋㄤ4"
+ ],
+ "𢖩": [
+ "ㄉㄧㄢ1"
+ ],
+ "𢖫": [
+ "ㄧ4"
+ ],
+ "𢖬": [
+ "ㄅㄧ4"
+ ],
+ "𢖳": [
+ "ㄒㄩ1"
+ ],
+ "𢖴": [
+ "ㄧ4"
+ ],
+ "𢖵": [
+ "ㄖㄨ4"
+ ],
+ "𢖷": [
+ "ㄍㄨㄥ1"
+ ],
+ "𢖺": [
+ "ㄧ4"
+ ],
+ "𢖿": [
+ "ㄓ4"
+ ],
+ "𢗀": [
+ "ㄒㄧㄣ1"
+ ],
+ "𢗂": [
+ "ㄐㄧ4"
+ ],
+ "𢗄": [
+ "ㄒㄧㄚ4"
+ ],
+ "𢗈": [
+ "ㄓㄠ1"
+ ],
+ "𢗉": [
+ "ㄋㄜ4"
+ ],
+ "𢗊": [
+ "ㄒㄧㄝ4",
+ "ㄐㄧㄚ2"
+ ],
+ "𢗎": [
+ "ㄧ4"
+ ],
+ "𢗫": [
+ "ㄈㄨ3"
+ ],
+ "𢗭": [
+ "ㄕㄜ4"
+ ],
+ "𢗯": [
+ "ㄩㄢ2"
+ ],
+ "𢗰": [
+ "ㄈㄢ3"
+ ],
+ "𢗲": [
+ "ㄈㄨ1"
+ ],
+ "𢗳": [
+ "ㄨ4"
+ ],
+ "𢗴": [
+ "ㄒㄧ1"
+ ],
+ "𢗵": [
+ "ㄏㄨㄥ3"
+ ],
+ "𢗹": [
+ "ㄐㄧ4"
+ ],
+ "𢗺": [
+ "ㄔㄤ4"
+ ],
+ "𢗿": [
+ "ㄇㄛ4"
+ ],
+ "𢘀": [
+ "ㄆㄟ4"
+ ],
+ "𢘃": [
+ "ㄇㄨ2",
+ "ㄨ3"
+ ],
+ "𢘄": [
+ "ㄑㄧㄡ2"
+ ],
+ "𢘅": [
+ "ㄇㄠ4",
+ "ㄖㄡ2"
+ ],
+ "𢘇": [
+ "ㄉㄚ2",
+ "ㄉㄢ4"
+ ],
+ "𢘉": [
+ "ㄒㄧㄚ2"
+ ],
+ "𢘊": [
+ "ㄕㄣ1"
+ ],
+ "𢘋": [
+ "ㄊㄜ4"
+ ],
+ "𢘌": [
+ "ㄏㄨㄥ2"
+ ],
+ "𢘍": [
+ "ㄅㄧ4",
+ "ㄈㄨ2"
+ ],
+ "𢘝": [
+ "ㄋㄧ3"
+ ],
+ "𢘟": [
+ "ㄑㄧㄠ2"
+ ],
+ "𢘧": [
+ "ㄖㄨㄢ3"
+ ],
+ "𢘸": [
+ "ㄐㄧㄤ4"
+ ],
+ "𢘹": [
+ "ㄔㄚ1"
+ ],
+ "𢘺": [
+ "ㄇㄧ3",
+ "ㄇㄧ2"
+ ],
+ "𢘽": [
+ "ㄧ4"
+ ],
+ "𢘿": [
+ "ㄙㄨㄛ1"
+ ],
+ "𢙁": [
+ "ㄨ4"
+ ],
+ "𢙂": [
+ "ㄒㄩㄢ1"
+ ],
+ "𢙅": [
+ "ㄒㄧ2"
+ ],
+ "𢙇": [
+ "ㄧ3"
+ ],
+ "𢙐": [
+ "ㄋㄠ2"
+ ],
+ "𢙓": [
+ "ㄨㄟ4"
+ ],
+ "𢙮": [
+ "ㄎㄢ4"
+ ],
+ "𢙱": [
+ "ㄌㄨㄥ4"
+ ],
+ "𢙲": [
+ "ㄌㄩ3"
+ ],
+ "𢙳": [
+ "ㄓㄨㄤ3"
+ ],
+ "𢙺": [
+ "ㄓ4"
+ ],
+ "𢙼": [
+ "ㄒㄧㄥ4"
+ ],
+ "𢙾": [
+ "ㄍㄥ3"
+ ],
+ "𢙿": [
+ "ㄐㄧㄣ4"
+ ],
+ "𢚀": [
+ "ㄒㄧㄢ4"
+ ],
+ "𢚁": [
+ "ㄐㄧ4"
+ ],
+ "𢚂": [
+ "ㄘㄨㄛ4"
+ ],
+ "𢚄": [
+ "ㄌㄠ2"
+ ],
+ "𢚅": [
+ "ㄈㄣ3"
+ ],
+ "𢚆": [
+ "ㄐㄩ4"
+ ],
+ "𢚋": [
+ "ㄇㄧㄠ4"
+ ],
+ "𢚌": [
+ "ㄒㄧㄚ2"
+ ],
+ "𢚑": [
+ "ㄙㄨ4"
+ ],
+ "𢚨": [
+ "ㄓ4"
+ ],
+ "𢚪": [
+ "ㄏㄨ4"
+ ],
+ "𢚫": [
+ "ㄎㄡ4"
+ ],
+ "𢚭": [
+ "ㄙㄨㄛ3"
+ ],
+ "𢚮": [
+ "ㄋㄧ4"
+ ],
+ "𢚺": [
+ "ㄊㄥ1"
+ ],
+ "𢚻": [
+ "ㄓㄨ4"
+ ],
+ "𢛁": [
+ "ㄉㄚ2",
+ "ㄔㄜ4"
+ ],
+ "𢛃": [
+ "ㄑㄧㄡ2"
+ ],
+ "𢛄": [
+ "ㄧㄚ4"
+ ],
+ "𢛆": [
+ "ㄒㄧㄢ2"
+ ],
+ "𢛉": [
+ "ㄋㄟ4"
+ ],
+ "𢛍": [
+ "ㄓ3"
+ ],
+ "𢛎": [
+ "ㄅㄧㄝ2"
+ ],
+ "𢛒": [
+ "ㄔㄨㄥ3"
+ ],
+ "𢛓": [
+ "ㄌㄢ2"
+ ],
+ "𢛔": [
+ "ㄉㄨㄥ1"
+ ],
+ "𢛕": [
+ "ㄑㄩㄣ1"
+ ],
+ "𢛖": [
+ "ㄒㄧㄤ4"
+ ],
+ "𢛘": [
+ "ㄒㄧㄠ2"
+ ],
+ "𢛙": [
+ "ㄨㄢ3"
+ ],
+ "𢛚": [
+ "ㄖㄨ4"
+ ],
+ "𢛛": [
+ "ㄨㄤ4"
+ ],
+ "𢛜": [
+ "ㄋㄧ4"
+ ],
+ "𢛞": [
+ "ㄅㄞ1"
+ ],
+ "𢛟": [
+ "ㄧㄚ4"
+ ],
+ "𢛥": [
+ "ㄙ1"
+ ],
+ "𢛦": [
+ "ㄧㄣ3"
+ ],
+ "𢛨": [
+ "ㄩ4"
+ ],
+ "𢛮": [
+ "ㄌㄧ2"
+ ],
+ "𢛯": [
+ "ㄏㄨㄛ4"
+ ],
+ "𢜗": [
+ "ㄅㄤ4"
+ ],
+ "𢜣": [
+ "ㄒㄧ1"
+ ],
+ "𢜥": [
+ "ㄐㄧㄡ1"
+ ],
+ "𢜨": [
+ "ㄒㄧㄝ4",
+ "ㄉㄧㄝ2"
+ ],
+ "𢜩": [
+ "ㄑㄧㄢ1"
+ ],
+ "𢜪": [
+ "ㄋㄨㄛ4",
+ "ㄖㄨㄛ4"
+ ],
+ "𢜫": [
+ "ㄒㄧㄥ3"
+ ],
+ "𢜬": [
+ "ㄉㄨㄛ2"
+ ],
+ "𢜭": [
+ "ㄐㄧ3"
+ ],
+ "𢜮": [
+ "ㄨ3"
+ ],
+ "𢜯": [
+ "ㄇㄨ2",
+ "ㄇㄡ2",
+ "ㄇㄨ3"
+ ],
+ "𢜰": [
+ "ㄧㄢ4",
+ "ㄧㄢ3"
+ ],
+ "𢜱": [
+ "ㄑㄧ4"
+ ],
+ "𢜲": [
+ "ㄋㄚ2"
+ ],
+ "𢜳": [
+ "ㄔ4"
+ ],
+ "𢜴": [
+ "ㄏㄡ2"
+ ],
+ "𢜶": [
+ "ㄙㄠ4"
+ ],
+ "𢜸": [
+ "ㄋㄠ2"
+ ],
+ "𢜻": [
+ "ㄔㄥ3"
+ ],
+ "𢜼": [
+ "ㄔㄥ3"
+ ],
+ "𢜽": [
+ "ㄎㄨㄟ2",
+ "ㄎㄨㄟ3"
+ ],
+ "𢜿": [
+ "ㄐㄧㄚ4"
+ ],
+ "𢝀": [
+ "ㄊㄨ2"
+ ],
+ "𢝁": [
+ "ㄏㄨㄥ1"
+ ],
+ "𢝂": [
+ "ㄉㄨ2"
+ ],
+ "𢝅": [
+ "ㄒㄧㄚ2"
+ ],
+ "𢝆": [
+ "ㄓㄨㄥ4"
+ ],
+ "𢝇": [
+ "ㄏㄨㄛ4"
+ ],
+ "𢝈": [
+ "ㄔㄨㄥ2"
+ ],
+ "𢝉": [
+ "ㄉㄚ2"
+ ],
+ "𢝌": [
+ "ㄇㄠ4"
+ ],
+ "𢝍": [
+ "ㄧㄠ4"
+ ],
+ "𢝓": [
+ "ㄐㄩㄢ1"
+ ],
+ "𢝬": [
+ "ㄕ4"
+ ],
+ "𢝯": [
+ "ㄧㄣ2"
+ ],
+ "𢝳": [
+ "ㄍㄨ3"
+ ],
+ "𢝴": [
+ "ㄨ4"
+ ],
+ "𢝸": [
+ "ㄍㄨㄛ4"
+ ],
+ "𢝹": [
+ "ㄊㄧ4"
+ ],
+ "𢝻": [
+ "ㄏㄨㄥ1"
+ ],
+ "𢞇": [
+ "ㄖㄜ3"
+ ],
+ "𢞉": [
+ "ㄧ2"
+ ],
+ "𢞋": [
+ "ㄊㄨㄣ3"
+ ],
+ "𢞏": [
+ "ㄑㄩㄥ2"
+ ],
+ "𢞐": [
+ "ㄏㄞ4"
+ ],
+ "𢞒": [
+ "ㄑㄧ4"
+ ],
+ "𢞕": [
+ "ㄏㄨㄛ4"
+ ],
+ "𢞖": [
+ "ㄊㄧ4"
+ ],
+ "𢞗": [
+ "ㄆㄧ1",
+ "ㄅㄧ1"
+ ],
+ "𢞚": [
+ "ㄍㄥ3"
+ ],
+ "𢞜": [
+ "ㄒㄧㄝ4"
+ ],
+ "𢞞": [
+ "ㄇㄧ4",
+ "ㄇㄧ2"
+ ],
+ "𢞟": [
+ "ㄍㄠ4"
+ ],
+ "𢞠": [
+ "ㄊㄚ1"
+ ],
+ "𢞡": [
+ "ㄒㄧㄤ3"
+ ],
+ "𢞣": [
+ "ㄕㄨ1"
+ ],
+ "𢞦": [
+ "ㄈㄨ2"
+ ],
+ "𢞬": [
+ "ㄓㄨㄢ1"
+ ],
+ "𢞭": [
+ "ㄌㄧㄡ4"
+ ],
+ "𢟅": [
+ "ㄧㄡ2"
+ ],
+ "𢟊": [
+ "ㄔㄥ3"
+ ],
+ "𢟋": [
+ "ㄉㄨㄟ1"
+ ],
+ "𢟢": [
+ "ㄌㄧ2"
+ ],
+ "𢟣": [
+ "ㄧㄤ4"
+ ],
+ "𢟤": [
+ "ㄌㄧ2"
+ ],
+ "𢟧": [
+ "ㄌㄨ3"
+ ],
+ "𢟨": [
+ "ㄇㄨ3"
+ ],
+ "𢟩": [
+ "ㄙㄨㄟ4"
+ ],
+ "𢟪": [
+ "ㄞ4",
+ "ㄒㄧ4"
+ ],
+ "𢟭": [
+ "ㄎㄡ4"
+ ],
+ "𢟯": [
+ "ㄓㄜ2",
+ "ㄕ4"
+ ],
+ "𢟰": [
+ "ㄞ4"
+ ],
+ "𢟱": [
+ "ㄊㄥ2"
+ ],
+ "𢟳": [
+ "ㄌㄩ4"
+ ],
+ "𢟴": [
+ "ㄊㄨㄟ2"
+ ],
+ "𢟵": [
+ "ㄅㄧ1"
+ ],
+ "𢟾": [
+ "ㄏㄨㄟ4"
+ ],
+ "𢟿": [
+ "ㄏㄨㄢ2"
+ ],
+ "𢠛": [
+ "ㄎㄨㄛ4"
+ ],
+ "𢠝": [
+ "ㄒㄧㄣ1"
+ ],
+ "𢠡": [
+ "ㄙㄠ4"
+ ],
+ "𢠫": [
+ "ㄕㄨ4"
+ ],
+ "𢠬": [
+ "ㄑㄩㄝ4"
+ ],
+ "𢠭": [
+ "ㄅㄚ1"
+ ],
+ "𢠮": [
+ "ㄊㄨㄟ4"
+ ],
+ "𢠲": [
+ "ㄈㄨ4"
+ ],
+ "𢠳": [
+ "ㄅㄧㄝ1"
+ ],
+ "𢠵": [
+ "ㄊㄤ3"
+ ],
+ "𢠷": [
+ "ㄒㄧㄤ4"
+ ],
+ "𢠹": [
+ "ㄙ1",
+ "ㄒㄧ1"
+ ],
+ "𢠺": [
+ "ㄅㄛ2"
+ ],
+ "𢠼": [
+ "ㄇㄞ2"
+ ],
+ "𢠽": [
+ "ㄉㄤ4"
+ ],
+ "𢠿": [
+ "ㄍㄨㄟ4"
+ ],
+ "𢡀": [
+ "ㄏㄟ1"
+ ],
+ "𢡁": [
+ "ㄒㄧ1"
+ ],
+ "𢡂": [
+ "ㄉㄤ4"
+ ],
+ "𢡃": [
+ "ㄧ4"
+ ],
+ "𢡅": [
+ "ㄅㄧ1"
+ ],
+ "𢡇": [
+ "ㄍㄨ1"
+ ],
+ "𢡈": [
+ "ㄘㄨㄟ4"
+ ],
+ "𢡉": [
+ "ㄙㄜ4"
+ ],
+ "𢡍": [
+ "ㄍㄜ2"
+ ],
+ "𢡎": [
+ "ㄩ4"
+ ],
+ "𢡏": [
+ "ㄋㄚ3"
+ ],
+ "𢡑": [
+ "ㄌㄧ4"
+ ],
+ "𢡒": [
+ "ㄓ4"
+ ],
+ "𢡰": [
+ "ㄓㄠ4"
+ ],
+ "𢡴": [
+ "ㄐㄧ1"
+ ],
+ "𢡵": [
+ "ㄖㄨㄢ3"
+ ],
+ "𢡹": [
+ "ㄔㄨㄥ4"
+ ],
+ "𢢂": [
+ "ㄐㄧㄝ2"
+ ],
+ "𢢌": [
+ "ㄔㄤ4"
+ ],
+ "𢢍": [
+ "ㄓㄜ2"
+ ],
+ "𢢒": [
+ "ㄙㄨ1",
+ "ㄙㄨ4"
+ ],
+ "𢢓": [
+ "ㄩㄥ1"
+ ],
+ "𢢖": [
+ "ㄑㄧ4"
+ ],
+ "𢢗": [
+ "ㄓㄨㄛ2"
+ ],
+ "𢢚": [
+ "ㄎㄞ4"
+ ],
+ "𢢜": [
+ "ㄧㄝ4"
+ ],
+ "𢢞": [
+ "ㄑㄧ4",
+ "ㄐㄧ4",
+ "ㄎㄨㄞ4"
+ ],
+ "𢢹": [
+ "ㄒㄩㄥ4"
+ ],
+ "𢣉": [
+ "ㄧ1"
+ ],
+ "𢣊": [
+ "ㄔㄡ3"
+ ],
+ "𢣎": [
+ "ㄊㄨㄢ3"
+ ],
+ "𢣏": [
+ "ㄞ4"
+ ],
+ "𢣐": [
+ "ㄆㄧㄣ1"
+ ],
+ "𢣓": [
+ "ㄌㄧㄝ4"
+ ],
+ "𢣔": [
+ "ㄇㄧㄢ2"
+ ],
+ "𢣕": [
+ "ㄞ4",
+ "ㄔ1"
+ ],
+ "𢣗": [
+ "ㄇㄛ3"
+ ],
+ "𢣘": [
+ "ㄨㄟ4"
+ ],
+ "𢣙": [
+ "ㄧㄥ4"
+ ],
+ "𢣚": [
+ "ㄋㄧ3"
+ ],
+ "𢣞": [
+ "ㄅㄛ2"
+ ],
+ "𢣠": [
+ "ㄌㄧㄡ4"
+ ],
+ "𢣳": [
+ "ㄖㄨㄟ4"
+ ],
+ "𢣵": [
+ "ㄔㄨ2"
+ ],
+ "𢣻": [
+ "ㄌㄩ2"
+ ],
+ "𢣼": [
+ "ㄔㄚ2"
+ ],
+ "𢣿": [
+ "ㄔㄨ4"
+ ],
+ "𢤁": [
+ "ㄙㄠ4"
+ ],
+ "𢤂": [
+ "ㄌㄧ2"
+ ],
+ "𢤄": [
+ "ㄙㄨㄥ1"
+ ],
+ "𢤆": [
+ "ㄌㄧ4",
+ "ㄌㄚ4"
+ ],
+ "𢤋": [
+ "ㄒㄧ4"
+ ],
+ "𢤍": [
+ "ㄧㄢ1"
+ ],
+ "𢤎": [
+ "ㄘㄨㄛ1",
+ "ㄗㄨㄛ3"
+ ],
+ "𢤐": [
+ "ㄌㄧㄡ2"
+ ],
+ "𢤘": [
+ "ㄇㄥ2"
+ ],
+ "𢤚": [
+ "ㄓㄢ4"
+ ],
+ "𢤤": [
+ "ㄓㄨㄤ4"
+ ],
+ "𢤧": [
+ "ㄇㄧㄠ3"
+ ],
+ "𢤩": [
+ "ㄌㄧ4"
+ ],
+ "𢤫": [
+ "ㄐㄩ3"
+ ],
+ "𢤯": [
+ "ㄒㄧㄝ4"
+ ],
+ "𢤰": [
+ "ㄒㄧㄝ4"
+ ],
+ "𢤱": [
+ "ㄌㄨㄥ3"
+ ],
+ "𢤲": [
+ "ㄌㄨㄥ2"
+ ],
+ "𢥂": [
+ "ㄊㄥ2"
+ ],
+ "𢥃": [
+ "ㄓㄨ4"
+ ],
+ "𢥋": [
+ "ㄔㄢ2"
+ ],
+ "𢥌": [
+ "ㄒㄧㄢ3"
+ ],
+ "𢥏": [
+ "ㄧㄥ2"
+ ],
+ "𢥐": [
+ "ㄆㄟ4"
+ ],
+ "𢥘": [
+ "ㄒㄧㄝ2"
+ ],
+ "𢥚": [
+ "ㄐㄧㄠ4"
+ ],
+ "𢥞": [
+ "ㄔㄨㄥ1"
+ ],
+ "𢥳": [
+ "ㄏㄜ1"
+ ],
+ "𢥽": [
+ "ㄊㄨㄣ3"
+ ],
+ "𢦅": [
+ "ㄏㄨㄥ3",
+ "ㄓㄨㄤ4"
+ ],
+ "𢦈": [
+ "ㄇㄢ2"
+ ],
+ "𢦊": [
+ "ㄐㄧㄣ1"
+ ],
+ "𢦌": [
+ "ㄑㄩ2"
+ ],
+ "𢦍": [
+ "ㄉㄡ3"
+ ],
+ "𢦎": [
+ "ㄑㄧㄡ2"
+ ],
+ "𢦏": [
+ "ㄗㄞ1"
+ ],
+ "𢦑": [
+ "ㄕㄥ1"
+ ],
+ "𢦒": [
+ "ㄗㄞ1"
+ ],
+ "𢦕": [
+ "ㄧ3",
+ "ㄓ2"
+ ],
+ "𢦚": [
+ "ㄏㄨㄚ4"
+ ],
+ "𢦟": [
+ "ㄎㄢ1"
+ ],
+ "𢦰": [
+ "ㄩㄝ4"
+ ],
+ "𢦱": [
+ "ㄋㄧ4"
+ ],
+ "𢦲": [
+ "ㄙ1"
+ ],
+ "𢦴": [
+ "ㄨㄛ3"
+ ],
+ "𢦸": [
+ "ㄘㄢ2"
+ ],
+ "𢦺": [
+ "ㄐㄧㄢ1"
+ ],
+ "𢦼": [
+ "ㄇㄧㄝ4"
+ ],
+ "𢦽": [
+ "ㄕㄠ2",
+ "ㄑㄧ1"
+ ],
+ "𢦿": [
+ "ㄖㄨㄥ3"
+ ],
+ "𢧀": [
+ "ㄍㄢ1"
+ ],
+ "𢧅": [
+ "ㄑㄧㄤ2"
+ ],
+ "𢧇": [
+ "ㄕㄨ2"
+ ],
+ "𢧈": [
+ "ㄓㄨㄛ2"
+ ],
+ "𢧏": [
+ "ㄕ1"
+ ],
+ "𢧑": [
+ "ㄊㄧ4"
+ ],
+ "𢧖": [
+ "ㄓㄚ2"
+ ],
+ "𢧗": [
+ "ㄓㄢ1"
+ ],
+ "𢧝": [
+ "ㄈㄣ4"
+ ],
+ "𢧞": [
+ "ㄇㄧㄝ4"
+ ],
+ "𢧠": [
+ "ㄗㄜ4"
+ ],
+ "𢧤": [
+ "ㄓ4"
+ ],
+ "𢧥": [
+ "ㄑㄧㄢ1"
+ ],
+ "𢧦": [
+ "ㄏㄢ4"
+ ],
+ "𢧧": [
+ "ㄍㄜ2"
+ ],
+ "𢧮": [
+ "ㄘㄢ2"
+ ],
+ "𢧰": [
+ "ㄍㄨㄛ2"
+ ],
+ "𢧱": [
+ "ㄐㄧㄠ1"
+ ],
+ "𢧳": [
+ "ㄩㄥ1"
+ ],
+ "𢧴": [
+ "ㄠ2"
+ ],
+ "𢧻": [
+ "ㄓㄚ2"
+ ],
+ "𢧽": [
+ "ㄒㄧ4"
+ ],
+ "𢨁": [
+ "ㄒㄩ1"
+ ],
+ "𢨂": [
+ "ㄨ3"
+ ],
+ "𢨏": [
+ "ㄐㄩㄝ2"
+ ],
+ "𢨐": [
+ "ㄐㄧ2",
+ "ㄐㄧ1"
+ ],
+ "𢨒": [
+ "ㄔ4"
+ ],
+ "𢨔": [
+ "ㄨㄢ3"
+ ],
+ "𢨖": [
+ "ㄇㄧㄝ4"
+ ],
+ "𢨗": [
+ "ㄗㄟ2"
+ ],
+ "𢨜": [
+ "ㄐㄧㄝ2"
+ ],
+ "𢨝": [
+ "ㄕ2"
+ ],
+ "𢨟": [
+ "ㄒㄧ1",
+ "ㄒㄧ4"
+ ],
+ "𢨡": [
+ "ㄜ4"
+ ],
+ "𢨥": [
+ "ㄏㄨ4"
+ ],
+ "𢨦": [
+ "ㄏㄨ4"
+ ],
+ "𢨨": [
+ "ㄌㄧ4"
+ ],
+ "𢨫": [
+ "ㄔㄨ4"
+ ],
+ "𢨮": [
+ "ㄧ1"
+ ],
+ "𢨯": [
+ "ㄇㄠ3"
+ ],
+ "𢨰": [
+ "ㄒㄩ1"
+ ],
+ "𢨱": [
+ "ㄓㄨㄥ1"
+ ],
+ "𢨳": [
+ "ㄧ4"
+ ],
+ "𢨺": [
+ "ㄌㄧㄠ2"
+ ],
+ "𢨿": [
+ "ㄐㄧㄢ1"
+ ],
+ "𢩀": [
+ "ㄐㄧㄢ3"
+ ],
+ "𢩁": [
+ "ㄐㄩ2"
+ ],
+ "𢩄": [
+ "ㄓㄨ4"
+ ],
+ "𢩈": [
+ "ㄨ3"
+ ],
+ "𢩏": [
+ "ㄎㄜ4"
+ ],
+ "𢩐": [
+ "ㄎㄜ3"
+ ],
+ "𢩑": [
+ "ㄌㄧ4"
+ ],
+ "𢩒": [
+ "ㄅㄧ3"
+ ],
+ "𢩓": [
+ "ㄍㄜ2"
+ ],
+ "𢩕": [
+ "ㄒㄩ1"
+ ],
+ "𢩖": [
+ "ㄕㄚ1"
+ ],
+ "𢩗": [
+ "ㄌㄧㄥ2"
+ ],
+ "𢩘": [
+ "ㄎㄜ1"
+ ],
+ "𢩞": [
+ "ㄅㄛ2"
+ ],
+ "𢩟": [
+ "ㄅㄧㄢ1"
+ ],
+ "𢩠": [
+ "ㄕㄨㄢ1"
+ ],
+ "𢩡": [
+ "ㄑㄧ2"
+ ],
+ "𢩢": [
+ "ㄕㄢ4"
+ ],
+ "𢩦": [
+ "ㄐㄧ1"
+ ],
+ "𢩨": [
+ "ㄑㄧㄠ3",
+ "ㄒㄧㄡ3"
+ ],
+ "𢩮": [
+ "ㄧ4"
+ ],
+ "𢩯": [
+ "ㄐㄩㄝ2"
+ ],
+ "𢩰": [
+ "ㄓㄤ3"
+ ],
+ "𢩲": [
+ "ㄒㄧㄣ4"
+ ],
+ "𢩷": [
+ "ㄊㄨㄛ1"
+ ],
+ "𢩸": [
+ "ㄏㄞ4"
+ ],
+ "𢩹": [
+ "ㄒㄧㄚ4"
+ ],
+ "𢩻": [
+ "ㄊㄨㄛ2"
+ ],
+ "𢩼": [
+ "ㄧ2"
+ ],
+ "𢪃": [
+ "ㄘㄨ4"
+ ],
+ "𢪇": [
+ "ㄐㄧㄤ1"
+ ],
+ "𢪈": [
+ "ㄋㄢ2"
+ ],
+ "𢪋": [
+ "ㄆㄥ3",
+ "ㄈㄥ2",
+ "ㄅㄤ4"
+ ],
+ "𢪍": [
+ "ㄐㄧㄝ2",
+ "ㄐㄧㄚ1"
+ ],
+ "𢪎": [
+ "ㄒㄩㄝ1"
+ ],
+ "𢪏": [
+ "ㄏㄨ2",
+ "ㄍㄨ3"
+ ],
+ "𢪥": [
+ "ㄧㄡ3"
+ ],
+ "𢪦": [
+ "ㄋㄨ3"
+ ],
+ "𢪧": [
+ "ㄧㄝ4"
+ ],
+ "𢪪": [
+ "ㄧㄣ4"
+ ],
+ "𢪬": [
+ "ㄎㄨㄥ3"
+ ],
+ "𢪶": [
+ "ㄒㄧㄠ1"
+ ],
+ "𢪷": [
+ "ㄒㄧㄤ1"
+ ],
+ "𢪼": [
+ "ㄋㄠ2"
+ ],
+ "𢪾": [
+ "ㄓㄤ4"
+ ],
+ "𢫐": [
+ "ㄐㄧㄝ2"
+ ],
+ "𢫓": [
+ "ㄋㄨ3"
+ ],
+ "𢫔": [
+ "ㄕㄢ4",
+ "ㄑㄩㄢ2"
+ ],
+ "𢫢": [
+ "ㄐㄧㄚ2"
+ ],
+ "𢫧": [
+ "ㄓㄡ3"
+ ],
+ "𢫨": [
+ "ㄖㄨㄥ3",
+ "ㄖㄥ1"
+ ],
+ "𢫫": [
+ "ㄌㄨ4"
+ ],
+ "𢫬": [
+ "ㄙㄚ4",
+ "ㄘㄨㄛ1",
+ "ㄕㄚ1"
+ ],
+ "𢫭": [
+ "ㄋㄨ4"
+ ],
+ "𢫯": [
+ "ㄅㄛ2"
+ ],
+ "𢫰": [
+ "ㄓㄜ2"
+ ],
+ "𢫲": [
+ "ㄑㄧㄣ3"
+ ],
+ "𢫴": [
+ "ㄘ1"
+ ],
+ "𢫵": [
+ "ㄗㄨ2"
+ ],
+ "𢫷": [
+ "ㄨㄛ3"
+ ],
+ "𢫸": [
+ "ㄨ3",
+ "ㄨ1"
+ ],
+ "𢫻": [
+ "ㄋㄧㄝ2"
+ ],
+ "𢫿": [
+ "ㄒㄧㄢ1"
+ ],
+ "𢬀": [
+ "ㄏㄨㄥ2"
+ ],
+ "𢬫": [
+ "ㄊㄧㄥ4"
+ ],
+ "𢬬": [
+ "ㄐㄧㄣ3"
+ ],
+ "𢬱": [
+ "ㄐㄧㄝ2"
+ ],
+ "𢬲": [
+ "ㄏㄜ4"
+ ],
+ "𢬳": [
+ "ㄊㄨ1"
+ ],
+ "𢬴": [
+ "ㄓㄜ2",
+ "ㄋㄧㄝ4",
+ "ㄉㄧㄝ2"
+ ],
+ "𢬵": [
+ "ㄆㄧㄣ1",
+ "ㄆㄢ1",
+ "ㄅㄧㄢ4",
+ "ㄈㄢ1"
+ ],
+ "𢬶": [
+ "ㄐㄧㄣ4"
+ ],
+ "𢬷": [
+ "ㄋㄢ4"
+ ],
+ "𢬼": [
+ "ㄉㄨㄣ4"
+ ],
+ "𢬾": [
+ "ㄒㄧ1"
+ ],
+ "𢬿": [
+ "ㄒㄧㄝ4"
+ ],
+ "𢭁": [
+ "ㄒㄧ4"
+ ],
+ "𢭂": [
+ "ㄌㄠ2"
+ ],
+ "𢭃": [
+ "ㄉㄨㄢ3",
+ "ㄉㄡ4"
+ ],
+ "𢭄": [
+ "ㄐㄧ4"
+ ],
+ "𢭅": [
+ "ㄔㄚ1"
+ ],
+ "𢭆": [
+ "ㄔㄡ1"
+ ],
+ "𢭈": [
+ "ㄍㄤ1"
+ ],
+ "𢭎": [
+ "ㄒㄧㄤ2"
+ ],
+ "𢭏": [
+ "ㄉㄠ3"
+ ],
+ "𢭥": [
+ "ㄅㄧㄢ4"
+ ],
+ "𢭦": [
+ "ㄒㄧㄠ1"
+ ],
+ "𢭧": [
+ "ㄒㄧㄣ1"
+ ],
+ "𢮁": [
+ "ㄩ3"
+ ],
+ "𢮂": [
+ "ㄒㄧㄢ2"
+ ],
+ "𢮃": [
+ "ㄌㄧ2"
+ ],
+ "𢮄": [
+ "ㄑㄧㄢ3"
+ ],
+ "𢮇": [
+ "ㄇㄟ3"
+ ],
+ "𢮉": [
+ "ㄑㄧㄠ1"
+ ],
+ "𢮊": [
+ "ㄧㄚ4"
+ ],
+ "𢮌": [
+ "ㄑㄧㄚ1",
+ "ㄐㄧㄝ2"
+ ],
+ "𢮍": [
+ "ㄑㄩㄥ4"
+ ],
+ "𢮏": [
+ "ㄅㄤ4"
+ ],
+ "𢮐": [
+ "ㄓㄥ1"
+ ],
+ "𢮚": [
+ "ㄗㄜ4"
+ ],
+ "𢮛": [
+ "ㄕㄨㄢ4",
+ "ㄊㄨㄢ2"
+ ],
+ "𢮞": [
+ "ㄙㄠ4"
+ ],
+ "𢯅": [
+ "ㄌㄨ4",
+ "ㄐㄩㄝ2"
+ ],
+ "𢯉": [
+ "ㄒㄧㄝ2"
+ ],
+ "𢯋": [
+ "ㄈㄨ3"
+ ],
+ "𢯌": [
+ "ㄓㄞ4"
+ ],
+ "𢯩": [
+ "ㄗㄜ4"
+ ],
+ "𢯫": [
+ "ㄉㄨㄢ4",
+ "ㄨㄢ3"
+ ],
+ "𢯭": [
+ "ㄉㄥ4"
+ ],
+ "𢯮": [
+ "ㄩ4"
+ ],
+ "𢯰": [
+ "ㄌㄩ4"
+ ],
+ "𢯲": [
+ "ㄨㄢ4"
+ ],
+ "𢯳": [
+ "ㄒㄩㄝ2"
+ ],
+ "𢯴": [
+ "ㄐㄧㄠ3"
+ ],
+ "𢯵": [
+ "ㄩㄝ3"
+ ],
+ "𢯶": [
+ "ㄓ4"
+ ],
+ "𢯷": [
+ "ㄨㄟ3",
+ "ㄏㄨㄟ1"
+ ],
+ "𢯹": [
+ "ㄍㄜ2"
+ ],
+ "𢯺": [
+ "ㄐㄩ3"
+ ],
+ "𢯼": [
+ "ㄧㄢ3"
+ ],
+ "𢯽": [
+ "ㄘㄨㄛ4"
+ ],
+ "𢯾": [
+ "ㄇㄠ4"
+ ],
+ "𢰆": [
+ "ㄈㄨ2"
+ ],
+ "𢰇": [
+ "ㄞ1"
+ ],
+ "𢰊": [
+ "ㄒㄩㄢ1"
+ ],
+ "𢰌": [
+ "ㄍㄤ1"
+ ],
+ "𢰍": [
+ "ㄢ1"
+ ],
+ "𢰒": [
+ "ㄐㄧ2"
+ ],
+ "𢰘": [
+ "ㄆㄧ2"
+ ],
+ "𢰙": [
+ "ㄓ3"
+ ],
+ "𢰜": [
+ "ㄋㄨㄛ2"
+ ],
+ "𢰿": [
+ "ㄆㄢ4"
+ ],
+ "𢱁": [
+ "ㄧ2"
+ ],
+ "𢱄": [
+ "ㄐㄧㄝ2"
+ ],
+ "𢱆": [
+ "ㄗ1"
+ ],
+ "𢱈": [
+ "ㄐㄧㄚ4"
+ ],
+ "𢱉": [
+ "ㄨㄞ3"
+ ],
+ "𢱌": [
+ "ㄐㄧㄚ4"
+ ],
+ "𢱟": [
+ "ㄔㄢ3",
+ "ㄔ1"
+ ],
+ "𢱡": [
+ "ㄙㄨㄛ3"
+ ],
+ "𢱢": [
+ "ㄙㄨㄛ3",
+ "ㄙㄜ4"
+ ],
+ "𢱣": [
+ "ㄐㄧ2"
+ ],
+ "𢱤": [
+ "ㄙㄨㄥ3"
+ ],
+ "𢱦": [
+ "ㄊㄧ1"
+ ],
+ "𢱧": [
+ "ㄆㄧ1"
+ ],
+ "𢱨": [
+ "ㄆㄛ2"
+ ],
+ "𢱮": [
+ "ㄇㄧ4"
+ ],
+ "𢱴": [
+ "ㄧㄝ4"
+ ],
+ "𢱶": [
+ "ㄑㄧㄣ4"
+ ],
+ "𢱷": [
+ "ㄐㄧㄣ4"
+ ],
+ "𢱺": [
+ "ㄐㄩㄝ1"
+ ],
+ "𢱽": [
+ "ㄩㄢ1"
+ ],
+ "𢱾": [
+ "ㄖㄨㄢ2"
+ ],
+ "𢲔": [
+ "ㄅㄢ4",
+ "ㄅㄢ1",
+ "ㄆㄢ1"
+ ],
+ "𢲰": [
+ "ㄅㄧㄣ1"
+ ],
+ "𢲴": [
+ "ㄨㄟ4"
+ ],
+ "𢲵": [
+ "ㄗㄠ4"
+ ],
+ "𢲶": [
+ "ㄑㄧㄝ4"
+ ],
+ "𢲷": [
+ "ㄙㄡ1"
+ ],
+ "𢲸": [
+ "ㄌㄨ3"
+ ],
+ "𢲼": [
+ "ㄉㄧㄝ2"
+ ],
+ "𢲽": [
+ "ㄔㄨㄞ1"
+ ],
+ "𢲾": [
+ "ㄅㄧ4"
+ ],
+ "𢲿": [
+ "ㄓㄨ2"
+ ],
+ "𢳀": [
+ "ㄇㄚ1",
+ "ㄇㄛ2"
+ ],
+ "𢳁": [
+ "ㄈㄟ4"
+ ],
+ "𢳂": [
+ "ㄆㄧㄝ1"
+ ],
+ "𢳃": [
+ "ㄧㄣ4"
+ ],
+ "𢳄": [
+ "ㄒㄩㄢ4",
+ "ㄒㄩㄢ2"
+ ],
+ "𢳆": [
+ "ㄠ4",
+ "ㄠ2"
+ ],
+ "𢳇": [
+ "ㄓㄨㄛ2",
+ "ㄗㄨ2"
+ ],
+ "𢳈": [
+ "ㄗㄨ2"
+ ],
+ "𢳋": [
+ "ㄅㄧ3"
+ ],
+ "𢳑": [
+ "ㄌㄤ4"
+ ],
+ "𢳓": [
+ "ㄊㄧ4"
+ ],
+ "𢳙": [
+ "ㄊㄧㄠ3"
+ ],
+ "𢳚": [
+ "ㄐㄧㄢ1"
+ ],
+ "𢳟": [
+ "ㄊㄨㄥ3"
+ ],
+ "𢳽": [
+ "ㄉㄨㄛ1"
+ ],
+ "𢳾": [
+ "ㄉㄨㄥ4"
+ ],
+ "𢴂": [
+ "ㄅㄧㄢ3"
+ ],
+ "𢴠": [
+ "ㄓ4"
+ ],
+ "𢴢": [
+ "ㄈㄣ2"
+ ],
+ "𢴦": [
+ "ㄎㄤ2"
+ ],
+ "𢴧": [
+ "ㄓ4"
+ ],
+ "𢴨": [
+ "ㄓㄞ1",
+ "ㄓ4",
+ "ㄔ4"
+ ],
+ "𢴩": [
+ "ㄅㄧ4"
+ ],
+ "𢴪": [
+ "ㄎㄨㄢ3"
+ ],
+ "𢴬": [
+ "ㄅㄢ4"
+ ],
+ "𢴭": [
+ "ㄐㄩㄝ1"
+ ],
+ "𢴮": [
+ "ㄑㄩ1"
+ ],
+ "𢴰": [
+ "ㄑㄧ1"
+ ],
+ "𢴱": [
+ "ㄌㄟ2"
+ ],
+ "𢴲": [
+ "ㄒㄧㄝ2",
+ "ㄐㄧㄝ2"
+ ],
+ "𢴳": [
+ "ㄊㄤ1"
+ ],
+ "𢴼": [
+ "ㄙㄡ1"
+ ],
+ "𢴾": [
+ "ㄅㄟ4"
+ ],
+ "𢵇": [
+ "ㄧㄤ4"
+ ],
+ "𢵈": [
+ "ㄐㄧㄢ3",
+ "ㄓㄢ3"
+ ],
+ "𢵥": [
+ "ㄗㄠ4"
+ ],
+ "𢶀": [
+ "ㄓㄨㄞ4",
+ "ㄔㄨㄞ2"
+ ],
+ "𢶃": [
+ "ㄈㄢ2"
+ ],
+ "𢶅": [
+ "ㄕㄜ2"
+ ],
+ "𢶇": [
+ "ㄑㄩㄥ2"
+ ],
+ "𢶉": [
+ "ㄆㄛ4"
+ ],
+ "𢶋": [
+ "ㄊㄧㄝ3"
+ ],
+ "𢶌": [
+ "ㄕㄚ1"
+ ],
+ "𢶍": [
+ "ㄗㄚ2",
+ "ㄙㄚ4"
+ ],
+ "𢶑": [
+ "ㄋㄧㄠ3"
+ ],
+ "𢶒": [
+ "ㄍㄨㄞ4"
+ ],
+ "𢶓": [
+ "ㄘㄨㄟ3"
+ ],
+ "𢶡": [
+ "ㄑㄧㄠ4",
+ "ㄐㄧㄠ3"
+ ],
+ "𢶣": [
+ "ㄉㄧㄝ2"
+ ],
+ "𢶳": [
+ "ㄆㄧㄣ1"
+ ],
+ "𢶴": [
+ "ㄘ2"
+ ],
+ "𢶶": [
+ "ㄅㄤ4"
+ ],
+ "𢷍": [
+ "ㄧㄣ4"
+ ],
+ "𢷑": [
+ "ㄒㄧㄢ3"
+ ],
+ "𢷔": [
+ "ㄧ3"
+ ],
+ "𢷕": [
+ "ㄇㄧㄠ3"
+ ],
+ "𢷖": [
+ "ㄉㄨㄢ3"
+ ],
+ "𢷗": [
+ "ㄓㄡ4"
+ ],
+ "𢷙": [
+ "ㄎㄨㄥ1"
+ ],
+ "𢷢": [
+ "ㄓㄤ1"
+ ],
+ "𢷶": [
+ "ㄌㄧㄡ2"
+ ],
+ "𢷸": [
+ "ㄓ3"
+ ],
+ "𢷹": [
+ "ㄔㄢ3"
+ ],
+ "𢷺": [
+ "ㄉㄨ2"
+ ],
+ "𢷻": [
+ "ㄩㄢ2"
+ ],
+ "𢷾": [
+ "ㄙㄨㄛ4",
+ "ㄘㄜ4"
+ ],
+ "𢷿": [
+ "ㄐㄧㄝ2"
+ ],
+ "𢸀": [
+ "ㄌㄧ4"
+ ],
+ "𢸁": [
+ "ㄍㄨㄥ3"
+ ],
+ "𢸌": [
+ "ㄅㄤ1"
+ ],
+ "𢸗": [
+ "ㄍㄨㄛ2"
+ ],
+ "𢸘": [
+ "ㄌㄧㄠ2"
+ ],
+ "𢸙": [
+ "ㄕㄣ3"
+ ],
+ "𢸣": [
+ "ㄋㄧㄠ3"
+ ],
+ "𢸥": [
+ "ㄘㄨㄢ4"
+ ],
+ "𢸦": [
+ "ㄨㄟ3"
+ ],
+ "𢸨": [
+ "ㄊㄨㄛ1"
+ ],
+ "𢸫": [
+ "ㄙㄨ1"
+ ],
+ "𢸭": [
+ "ㄌㄨㄥ2"
+ ],
+ "𢸳": [
+ "ㄒㄧㄠ1"
+ ],
+ "𢸴": [
+ "ㄧㄢ3",
+ "ㄧㄢ2"
+ ],
+ "𢹃": [
+ "ㄑㄧㄥ3"
+ ],
+ "𢹍": [
+ "ㄒㄧ1"
+ ],
+ "𢹏": [
+ "ㄩ2"
+ ],
+ "𢹑": [
+ "ㄓㄥ4",
+ "ㄓㄥ1"
+ ],
+ "𢹒": [
+ "ㄒㄧㄝ4"
+ ],
+ "𢹓": [
+ "ㄔㄞ1"
+ ],
+ "𢹔": [
+ "ㄈㄣ4"
+ ],
+ "𢹖": [
+ "ㄍㄨㄛ2"
+ ],
+ "𢹘": [
+ "ㄐㄧㄥ3"
+ ],
+ "𢹙": [
+ "ㄌㄢ4"
+ ],
+ "𢹚": [
+ "ㄒㄧㄢ1"
+ ],
+ "𢹝": [
+ "ㄌㄧㄥ2"
+ ],
+ "𢹮": [
+ "ㄌㄟ3"
+ ],
+ "𢹲": [
+ "ㄐㄩㄣ4"
+ ],
+ "𢹳": [
+ "ㄒㄧㄠ4"
+ ],
+ "𢹼": [
+ "ㄗㄚ2"
+ ],
+ "𢺄": [
+ "ㄍㄨㄢ1"
+ ],
+ "𢺅": [
+ "ㄑㄧㄝ4"
+ ],
+ "𢺆": [
+ "ㄌㄨㄛ4"
+ ],
+ "𢺇": [
+ "ㄧㄠ4"
+ ],
+ "𢺈": [
+ "ㄌㄨㄢ2"
+ ],
+ "𢺉": [
+ "ㄊㄚ4"
+ ],
+ "𢺑": [
+ "ㄌㄨㄛ4"
+ ],
+ "𢺞": [
+ "ㄅㄚ3"
+ ],
+ "𢺟": [
+ "ㄔㄢ4"
+ ],
+ "𢺡": [
+ "ㄓㄨㄛ2"
+ ],
+ "𢺫": [
+ "ㄊㄧㄠ3"
+ ],
+ "𢺯": [
+ "ㄨㄢ1"
+ ],
+ "𢺰": [
+ "ㄌㄧㄥ2",
+ "ㄌㄧㄥ4"
+ ],
+ "𢺴": [
+ "ㄩ4"
+ ],
+ "𢺵": [
+ "ㄑㄧ4",
+ "ㄑㄧ3"
+ ],
+ "𢺷": [
+ "ㄑㄧ2"
+ ],
+ "𢺼": [
+ "ㄐㄧ4"
+ ],
+ "𢺽": [
+ "ㄅㄛ2",
+ "ㄐㄧㄠ4"
+ ],
+ "𢺿": [
+ "ㄕ1"
+ ],
+ "𢻀": [
+ "ㄈㄨ3"
+ ],
+ "𢻂": [
+ "ㄍㄨㄟ1"
+ ],
+ "𢻅": [
+ "ㄉㄧㄢ3"
+ ],
+ "𢻇": [
+ "ㄏㄠ1"
+ ],
+ "𢻉": [
+ "ㄍㄞ3"
+ ],
+ "𢻋": [
+ "ㄑㄧ2"
+ ],
+ "𢻓": [
+ "ㄔㄥ2"
+ ],
+ "𢻔": [
+ "ㄏㄨㄟ4"
+ ],
+ "𢻗": [
+ "ㄒㄧㄚ2",
+ "ㄍㄨㄟ1"
+ ],
+ "𢻘": [
+ "ㄕ2"
+ ],
+ "𢻙": [
+ "ㄓ4"
+ ],
+ "𢻚": [
+ "ㄑㄧ2"
+ ],
+ "𢻜": [
+ "ㄏㄞ4"
+ ],
+ "𢻟": [
+ "ㄐㄧㄠ3"
+ ],
+ "𢻠": [
+ "ㄌㄧ4"
+ ],
+ "𢻢": [
+ "ㄌㄧㄠ3"
+ ],
+ "𢻤": [
+ "ㄑㄧㄠ1",
+ "ㄑㄧㄠ2"
+ ],
+ "𢻨": [
+ "ㄙㄚ4"
+ ],
+ "𢻪": [
+ "ㄑㄧ1"
+ ],
+ "𢻫": [
+ "ㄕ1"
+ ],
+ "𢻮": [
+ "ㄐㄧㄝ2",
+ "ㄈㄨ2"
+ ],
+ "𢻵": [
+ "ㄅㄟ4",
+ "ㄌㄨ4"
+ ],
+ "𢻶": [
+ "ㄅㄧㄢ1"
+ ],
+ "𢻷": [
+ "ㄅㄚ1"
+ ],
+ "𢻸": [
+ "ㄐㄩㄣ1"
+ ],
+ "𢻹": [
+ "ㄆㄧ1"
+ ],
+ "𢻼": [
+ "ㄉㄢ3"
+ ],
+ "𢻿": [
+ "ㄊㄤ2"
+ ],
+ "𢼀": [
+ "ㄎㄨㄟ3"
+ ],
+ "𢼁": [
+ "ㄎㄨ1"
+ ],
+ "𢼃": [
+ "ㄎㄡ3"
+ ],
+ "𢼉": [
+ "ㄕ1"
+ ],
+ "𢼊": [
+ "ㄕ1",
+ "ㄊㄨㄛ2"
+ ],
+ "𢼋": [
+ "ㄐㄧ1"
+ ],
+ "𢼌": [
+ "ㄅㄠ4"
+ ],
+ "𢼐": [
+ "ㄎㄜ3"
+ ],
+ "𢼑": [
+ "ㄎㄨㄤ1"
+ ],
+ "𢼖": [
+ "ㄇㄧㄣ3"
+ ],
+ "𢼙": [
+ "ㄌㄧㄠ2"
+ ],
+ "𢼚": [
+ "ㄜ4"
+ ],
+ "𢼛": [
+ "ㄍㄜ2",
+ "ㄍㄨㄛ2",
+ "ㄜ4"
+ ],
+ "𢼟": [
+ "ㄨㄤ3"
+ ],
+ "𢼠": [
+ "ㄉㄨㄛ2"
+ ],
+ "𢼣": [
+ "ㄑㄧㄚ4"
+ ],
+ "𢼤": [
+ "ㄏㄨㄚ2"
+ ],
+ "𢼦": [
+ "ㄏㄨㄥ3"
+ ],
+ "𢼩": [
+ "ㄆㄥ1"
+ ],
+ "𢼫": [
+ "ㄐㄧㄠ4"
+ ],
+ "𢼰": [
+ "ㄑㄩ1"
+ ],
+ "𢼱": [
+ "ㄗ4"
+ ],
+ "𢼲": [
+ "ㄓㄡ4"
+ ],
+ "𢼳": [
+ "ㄎㄨㄤ1"
+ ],
+ "𢼵": [
+ "ㄕㄚ1"
+ ],
+ "𢼷": [
+ "ㄐㄧ4"
+ ],
+ "𢼸": [
+ "ㄨㄟ1",
+ "ㄨㄟ2"
+ ],
+ "𢼹": [
+ "ㄆㄨ1",
+ "ㄅㄨ3"
+ ],
+ "𢼺": [
+ "ㄒㄩㄝ2"
+ ],
+ "𢼼": [
+ "ㄕㄠ1"
+ ],
+ "𢽂": [
+ "ㄌㄤ2"
+ ],
+ "𢽃": [
+ "ㄓ3"
+ ],
+ "𢽄": [
+ "ㄊㄧㄥ3"
+ ],
+ "𢽇": [
+ "ㄉㄚ4"
+ ],
+ "𢽕": [
+ "ㄧㄤ2"
+ ],
+ "𢽖": [
+ "ㄐㄧㄣ4"
+ ],
+ "𢽗": [
+ "ㄓ3"
+ ],
+ "𢽚": [
+ "ㄓㄨㄛ2",
+ "ㄉㄨ1"
+ ],
+ "𢽜": [
+ "ㄗㄚ2"
+ ],
+ "𢽝": [
+ "ㄔㄢ2"
+ ],
+ "𢽢": [
+ "ㄇㄠ4"
+ ],
+ "𢽦": [
+ "ㄎㄨㄥ1"
+ ],
+ "𢽧": [
+ "ㄓㄡ1"
+ ],
+ "𢽨": [
+ "ㄏㄨ1"
+ ],
+ "𢽩": [
+ "ㄆㄥ1"
+ ],
+ "𢽭": [
+ "ㄐㄧㄡ4"
+ ],
+ "𢽸": [
+ "ㄔㄨㄛ4"
+ ],
+ "𢽹": [
+ "ㄇㄧㄣ3"
+ ],
+ "𢽾": [
+ "ㄒㄧㄠ4"
+ ],
+ "𢾀": [
+ "ㄉㄨ3"
+ ],
+ "𢾁": [
+ "ㄨㄟ2"
+ ],
+ "𢾃": [
+ "ㄘㄢ2"
+ ],
+ "𢾄": [
+ "ㄩ2"
+ ],
+ "𢾅": [
+ "ㄉㄨ4"
+ ],
+ "𢾆": [
+ "ㄎㄞ1"
+ ],
+ "𢾇": [
+ "ㄆㄧ4"
+ ],
+ "𢾊": [
+ "ㄔㄥ2"
+ ],
+ "𢾎": [
+ "ㄔㄨㄣ3"
+ ],
+ "𢾐": [
+ "ㄕㄠ3"
+ ],
+ "𢾑": [
+ "ㄧㄢ3"
+ ],
+ "𢾒": [
+ "ㄎㄨㄞ4"
+ ],
+ "𢾔": [
+ "ㄩㄝ1"
+ ],
+ "𢾦": [
+ "ㄑㄧ2"
+ ],
+ "𢾧": [
+ "ㄓㄥ1"
+ ],
+ "𢾩": [
+ "ㄎㄜ4"
+ ],
+ "𢾪": [
+ "ㄑㄧ2"
+ ],
+ "𢾫": [
+ "ㄓ3"
+ ],
+ "𢾬": [
+ "ㄌㄨ4"
+ ],
+ "𢾱": [
+ "ㄆㄧ1"
+ ],
+ "𢾲": [
+ "ㄋㄨㄛ4"
+ ],
+ "𢾳": [
+ "ㄆㄠ3"
+ ],
+ "𢾺": [
+ "ㄈㄟ3"
+ ],
+ "𢾿": [
+ "ㄨㄣ2"
+ ],
+ "𢿂": [
+ "ㄇㄥ2"
+ ],
+ "𢿈": [
+ "ㄕㄢ3"
+ ],
+ "𢿌": [
+ "ㄒㄩㄥ4",
+ "ㄒㄩㄢ4"
+ ],
+ "𢿎": [
+ "ㄉㄨㄛ4"
+ ],
+ "𢿏": [
+ "ㄅㄧㄠ4",
+ "ㄆㄠ1"
+ ],
+ "𢿚": [
+ "ㄧㄡ1"
+ ],
+ "𢿜": [
+ "ㄇㄢ4"
+ ],
+ "𢿞": [
+ "ㄌㄧㄠ3"
+ ],
+ "𢿡": [
+ "ㄒㄧㄝ2"
+ ],
+ "𢿢": [
+ "ㄌㄨㄢ4"
+ ],
+ "𢿣": [
+ "ㄑㄧㄠ1"
+ ],
+ "𢿤": [
+ "ㄉㄥ4"
+ ],
+ "𢿦": [
+ "ㄔㄥ2"
+ ],
+ "𢿧": [
+ "ㄔㄥ2"
+ ],
+ "𢿭": [
+ "ㄔㄨㄛ4"
+ ],
+ "𢿸": [
+ "ㄘㄜ4"
+ ],
+ "𣀀": [
+ "ㄌㄟ2"
+ ],
+ "𣀁": [
+ "ㄓㄢ3"
+ ],
+ "𣀂": [
+ "ㄌㄧ3"
+ ],
+ "𣀃": [
+ "ㄌㄧㄢ2"
+ ],
+ "𣀄": [
+ "ㄑㄩㄣ2"
+ ],
+ "𣀍": [
+ "ㄔㄣ2"
+ ],
+ "𣀏": [
+ "ㄔㄥ2"
+ ],
+ "𣀐": [
+ "ㄍㄨ1"
+ ],
+ "𣀒": [
+ "ㄗㄨㄥ4"
+ ],
+ "𣀓": [
+ "ㄔㄡ2",
+ "ㄉㄠ3"
+ ],
+ "𣀔": [
+ "ㄔㄨㄢ4",
+ "ㄔㄨㄛ4"
+ ],
+ "𣀜": [
+ "ㄌㄟ4"
+ ],
+ "𣀝": [
+ "ㄕㄨㄛ4"
+ ],
+ "𣀞": [
+ "ㄌㄩ4"
+ ],
+ "𣀣": [
+ "ㄈㄨ2"
+ ],
+ "𣀥": [
+ "ㄌㄧ4"
+ ],
+ "𣀧": [
+ "ㄙㄢ4"
+ ],
+ "𣀫": [
+ "ㄙㄢ1"
+ ],
+ "𣀯": [
+ "ㄙㄚ4"
+ ],
+ "𣀳": [
+ "ㄋㄧㄝ4"
+ ],
+ "𣀶": [
+ "ㄗㄨㄢ1"
+ ],
+ "𣀷": [
+ "ㄌㄧ3",
+ "ㄌㄧ2"
+ ],
+ "𣀻": [
+ "ㄕㄨ3",
+ "ㄓㄨ3"
+ ],
+ "𣀾": [
+ "ㄈㄨ2"
+ ],
+ "𣁉": [
+ "ㄅㄧ4"
+ ],
+ "𣁍": [
+ "ㄉㄠ4"
+ ],
+ "𣁒": [
+ "ㄕ1"
+ ],
+ "𣁖": [
+ "ㄍㄢ4"
+ ],
+ "𣁗": [
+ "ㄊㄢ4"
+ ],
+ "𣁜": [
+ "ㄇㄢ4"
+ ],
+ "𣁟": [
+ "ㄌㄧ2"
+ ],
+ "𣁢": [
+ "ㄅㄧ4"
+ ],
+ "𣁦": [
+ "ㄆㄢ2"
+ ],
+ "𣁨": [
+ "ㄧㄡ1"
+ ],
+ "𣁭": [
+ "ㄐㄧㄡ1"
+ ],
+ "𣁯": [
+ "ㄍㄨㄛ1"
+ ],
+ "𣁰": [
+ "ㄌㄧㄠ2"
+ ],
+ "𣁳": [
+ "ㄨㄛ4"
+ ],
+ "𣁴": [
+ "ㄑㄧㄚ4"
+ ],
+ "𣁵": [
+ "ㄉㄡ3"
+ ],
+ "𣁷": [
+ "ㄌㄧㄝ4"
+ ],
+ "𣁹": [
+ "ㄐㄧㄠ3"
+ ],
+ "𣁻": [
+ "ㄌㄧㄝ4",
+ "ㄌㄨㄛ1"
+ ],
+ "𣂁": [
+ "ㄊㄧㄠ1",
+ "ㄑㄧㄠ1"
+ ],
+ "𣂄": [
+ "ㄍㄨㄛ1"
+ ],
+ "𣂆": [
+ "ㄆㄤ1"
+ ],
+ "𣂇": [
+ "ㄑㄧㄠ1"
+ ],
+ "𣂉": [
+ "ㄉㄧ2"
+ ],
+ "𣂊": [
+ "ㄩㄣ4"
+ ],
+ "𣂒": [
+ "ㄌㄜ4"
+ ],
+ "𣂖": [
+ "ㄙ1"
+ ],
+ "𣂗": [
+ "ㄒㄧㄣ1"
+ ],
+ "𣂜": [
+ "ㄒㄧㄣ1"
+ ],
+ "𣂝": [
+ "ㄒㄧㄤ4"
+ ],
+ "𣂞": [
+ "ㄌㄨㄛ3"
+ ],
+ "𣂤": [
+ "ㄅㄥ1"
+ ],
+ "𣂥": [
+ "ㄊㄧㄠ1",
+ "ㄑㄧㄠ1"
+ ],
+ "𣂬": [
+ "ㄒㄧㄠ4"
+ ],
+ "𣂮": [
+ "ㄉㄡ1",
+ "ㄊㄡ2"
+ ],
+ "𣂳": [
+ "ㄉㄤ4"
+ ],
+ "𣂴": [
+ "ㄊㄧㄥ2"
+ ],
+ "𣂵": [
+ "ㄓㄨㄢ4"
+ ],
+ "𣂻": [
+ "ㄡ1",
+ "ㄎㄡ1"
+ ],
+ "𣂽": [
+ "ㄨㄛ4"
+ ],
+ "𣃄": [
+ "ㄒㄧㄣ1"
+ ],
+ "𣃅": [
+ "ㄖㄨㄢ3"
+ ],
+ "𣃈": [
+ "ㄓㄨㄛ2"
+ ],
+ "𣃉": [
+ "ㄉㄤ4"
+ ],
+ "𣃍": [
+ "ㄘㄨㄟ4",
+ "ㄔㄚ4"
+ ],
+ "𣃑": [
+ "ㄓㄨㄛ2"
+ ],
+ "𣃗": [
+ "ㄘㄨㄥ2"
+ ],
+ "𣃘": [
+ "ㄔㄢ3",
+ "ㄔㄨㄤ2"
+ ],
+ "𣃝": [
+ "ㄧㄤ3"
+ ],
+ "𣃧": [
+ "ㄧㄢ3"
+ ],
+ "𣃳": [
+ "ㄧㄢ3",
+ "ㄧㄝ4"
+ ],
+ "𣃵": [
+ "ㄓㄣ4",
+ "ㄕㄣ1"
+ ],
+ "𣃽": [
+ "ㄋㄨㄛ3"
+ ],
+ "𣃾": [
+ "ㄧㄢ4"
+ ],
+ "𣄅": [
+ "ㄈㄤ3"
+ ],
+ "𣄉": [
+ "ㄧㄢ3"
+ ],
+ "𣄊": [
+ "ㄩ2"
+ ],
+ "𣄍": [
+ "ㄊㄧ2"
+ ],
+ "𣄎": [
+ "ㄈㄨ4"
+ ],
+ "𣄏": [
+ "ㄅㄣ3"
+ ],
+ "𣄑": [
+ "ㄧㄢ3"
+ ],
+ "𣄓": [
+ "ㄏㄨㄟ1"
+ ],
+ "𣄙": [
+ "ㄏㄨㄤ3"
+ ],
+ "𣄜": [
+ "ㄍㄨㄟ4"
+ ],
+ "𣄝": [
+ "ㄧㄢ4"
+ ],
+ "𣄟": [
+ "ㄏㄨ2"
+ ],
+ "𣄠": [
+ "ㄅㄧㄠ1"
+ ],
+ "𣄧": [
+ "ㄙㄨㄟ4",
+ "ㄨㄟ2"
+ ],
+ "𣄮": [
+ "ㄗ4"
+ ],
+ "𣄯": [
+ "ㄐㄧ4"
+ ],
+ "𣄰": [
+ "ㄜ3"
+ ],
+ "𣄱": [
+ "ㄐㄧ4"
+ ],
+ "𣄲": [
+ "ㄎㄨㄟ3"
+ ],
+ "𣄴": [
+ "ㄌㄧㄤ4"
+ ],
+ "𣄸": [
+ "ㄏㄨㄛ4"
+ ],
+ "𣄺": [
+ "ㄨㄟ2"
+ ],
+ "𣄻": [
+ "ㄓㄨㄛ1"
+ ],
+ "𣄿": [
+ "ㄊㄧㄥ3"
+ ],
+ "𣅃": [
+ "ㄗㄞ3"
+ ],
+ "𣅄": [
+ "ㄧㄡ4"
+ ],
+ "𣅉": [
+ "ㄖㄣ4"
+ ],
+ "𣅍": [
+ "ㄇㄧㄢ4",
+ "ㄅㄧㄥ1"
+ ],
+ "𣅚": [
+ "ㄋㄚ4",
+ "ㄋㄧㄡ3"
+ ],
+ "𣅝": [
+ "ㄊㄨ1"
+ ],
+ "𣅟": [
+ "ㄉㄢ1"
+ ],
+ "𣅡": [
+ "ㄐㄩㄝ2"
+ ],
+ "𣅤": [
+ "ㄒㄩ1"
+ ],
+ "𣅥": [
+ "ㄉㄧ1"
+ ],
+ "𣅰": [
+ "ㄒㄧㄤ4"
+ ],
+ "𣅷": [
+ "ㄒㄩㄥ4"
+ ],
+ "𣅺": [
+ "ㄧㄡ3"
+ ],
+ "𣅻": [
+ "ㄍㄨㄚ3",
+ "ㄐㄩㄥ1"
+ ],
+ "𣅾": [
+ "ㄒㄧ1"
+ ],
+ "𣆈": [
+ "ㄏㄜ4"
+ ],
+ "𣆍": [
+ "ㄉㄧㄥ3"
+ ],
+ "𣆐": [
+ "ㄌㄨ2"
+ ],
+ "𣆒": [
+ "ㄒㄩ2"
+ ],
+ "𣆔": [
+ "ㄓㄡ4"
+ ],
+ "𣆕": [
+ "ㄒㄧㄢ4"
+ ],
+ "𣆖": [
+ "ㄏㄨㄤ1"
+ ],
+ "𣆗": [
+ "ㄔㄚ1"
+ ],
+ "𣆘": [
+ "ㄕ3"
+ ],
+ "𣆙": [
+ "ㄍㄢ4"
+ ],
+ "𣆚": [
+ "ㄋㄨㄛ3",
+ "ㄔ3"
+ ],
+ "𣆛": [
+ "ㄢ4",
+ "ㄨㄢ3"
+ ],
+ "𣆟": [
+ "ㄒㄧㄝ1",
+ "ㄐㄧㄝ1"
+ ],
+ "𣆧": [
+ "ㄏㄠ4"
+ ],
+ "𣆲": [
+ "ㄑㄧㄣ1"
+ ],
+ "𣆳": [
+ "ㄍㄥ3"
+ ],
+ "𣆴": [
+ "ㄕㄢ1"
+ ],
+ "𣆵": [
+ "ㄈㄨ2"
+ ],
+ "𣆽": [
+ "ㄗㄜ4"
+ ],
+ "𣇇": [
+ "ㄉㄢ4"
+ ],
+ "𣇖": [
+ "ㄉㄧㄢ3"
+ ],
+ "𣇗": [
+ "ㄕㄣ1"
+ ],
+ "𣇙": [
+ "ㄗㄨ3"
+ ],
+ "𣇢": [
+ "ㄅㄧㄝ1"
+ ],
+ "𣇦": [
+ "ㄔㄨㄟ2"
+ ],
+ "𣇧": [
+ "ㄓㄜ4"
+ ],
+ "𣇨": [
+ "ㄉㄞ4"
+ ],
+ "𣇫": [
+ "ㄨㄛ3"
+ ],
+ "𣇬": [
+ "ㄑㄩㄥ2"
+ ],
+ "𣇰": [
+ "ㄌㄧㄣ2"
+ ],
+ "𣇲": [
+ "ㄏㄨㄣ1"
+ ],
+ "𣇳": [
+ "ㄐㄧ1"
+ ],
+ "𣈅": [
+ "ㄘㄠ2"
+ ],
+ "𣈊": [
+ "ㄇㄨ4"
+ ],
+ "𣈍": [
+ "ㄉㄧㄝ2"
+ ],
+ "𣈎": [
+ "ㄨㄟ4"
+ ],
+ "𣈠": [
+ "ㄅㄧㄢ4"
+ ],
+ "𣈡": [
+ "ㄊㄧ3"
+ ],
+ "𣈥": [
+ "ㄊㄨ2"
+ ],
+ "𣈶": [
+ "ㄍㄥ4"
+ ],
+ "𣉄": [
+ "ㄔ2"
+ ],
+ "𣉅": [
+ "ㄘㄡ4"
+ ],
+ "𣉆": [
+ "ㄊㄧ3"
+ ],
+ "𣉒": [
+ "ㄏㄨㄛ4"
+ ],
+ "𣉓": [
+ "ㄑㄧ1"
+ ],
+ "𣉔": [
+ "ㄙㄠ1"
+ ],
+ "𣉕": [
+ "ㄙㄤ4"
+ ],
+ "𣉖": [
+ "ㄒㄩㄢ3"
+ ],
+ "𣉗": [
+ "ㄤ4"
+ ],
+ "𣉘": [
+ "ㄋㄞ4"
+ ],
+ "𣉚": [
+ "ㄧㄤ2"
+ ],
+ "𣉛": [
+ "ㄕㄨ1"
+ ],
+ "𣉜": [
+ "ㄕㄚ1"
+ ],
+ "𣉡": [
+ "ㄊㄧㄥ3"
+ ],
+ "𣉩": [
+ "ㄧㄚ4"
+ ],
+ "𣉪": [
+ "ㄏㄨㄤ3"
+ ],
+ "𣉮": [
+ "ㄅㄧㄣ1"
+ ],
+ "𣉾": [
+ "ㄡ4"
+ ],
+ "𣉿": [
+ "ㄘㄠ2"
+ ],
+ "𣊁": [
+ "ㄠ2"
+ ],
+ "𣊃": [
+ "ㄇㄠ4"
+ ],
+ "𣊔": [
+ "ㄇㄥ2"
+ ],
+ "𣊖": [
+ "ㄊㄧㄢ1"
+ ],
+ "𣊝": [
+ "ㄙㄤ4"
+ ],
+ "𣊞": [
+ "ㄒㄩ4"
+ ],
+ "𣊟": [
+ "ㄎㄢ4"
+ ],
+ "𣊧": [
+ "ㄌㄤ3",
+ "ㄓㄠ4"
+ ],
+ "𣊶": [
+ "ㄅㄧㄝ1"
+ ],
+ "𣊷": [
+ "ㄘㄨㄥ2"
+ ],
+ "𣊺": [
+ "ㄒㄧㄢ2"
+ ],
+ "𣋄": [
+ "ㄊㄨㄣ1"
+ ],
+ "𣋉": [
+ "ㄩ4"
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+ ],
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+ ],
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+ "ㄍㄢ1"
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+ ],
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+ ],
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+ "ㄓㄨㄢ3"
+ ],
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+ "ㄅㄧ4"
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+ "ㄩㄣ2"
+ ],
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+ "ㄕㄢ1"
+ ],
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+ "ㄌㄧ4"
+ ],
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+ ],
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+ "ㄆㄞ1"
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+ "ㄑㄩ2"
+ ],
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+ "ㄑㄩㄝ4"
+ ],
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+ "ㄐㄩㄝ2"
+ ],
+ "𣖭": [
+ "ㄓ2"
+ ],
+ "𣖮": [
+ "ㄤ4"
+ ],
+ "𣖯": [
+ "ㄑㄧㄣ4"
+ ],
+ "𣖰": [
+ "ㄆㄧ2"
+ ],
+ "𣖱": [
+ "ㄗㄨㄟ1"
+ ],
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+ "ㄑㄧㄢ2"
+ ],
+ "𣖵": [
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+ ],
+ "𣖷": [
+ "ㄐㄧ2"
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+ "𣖸": [
+ "ㄊㄧ2"
+ ],
+ "𣖹": [
+ "ㄖㄨ2"
+ ],
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+ "ㄏㄞ3"
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+ "𣖼": [
+ "ㄒㄩㄣ2"
+ ],
+ "𣖾": [
+ "ㄅㄟ4"
+ ],
+ "𣖿": [
+ "ㄓ2"
+ ],
+ "𣗁": [
+ "ㄉㄨㄣ4",
+ "ㄗㄚ1"
+ ],
+ "𣗋": [
+ "ㄉㄤ3"
+ ],
+ "𣗐": [
+ "ㄖㄥ2"
+ ],
+ "𣗲": [
+ "ㄍㄢ1"
+ ],
+ "𣗵": [
+ "ㄍㄤ4",
+ "ㄍㄤ1"
+ ],
+ "𣗶": [
+ "ㄊㄚ4"
+ ],
+ "𣗸": [
+ "ㄊㄨㄛ4"
+ ],
+ "𣗹": [
+ "ㄧㄤ4"
+ ],
+ "𣗺": [
+ "ㄎㄨ1"
+ ],
+ "𣗻": [
+ "ㄓ4"
+ ],
+ "𣘖": [
+ "ㄐㄧㄢ1"
+ ],
+ "𣘗": [
+ "ㄋㄧ4"
+ ],
+ "𣘘": [
+ "ㄕㄣ1",
+ "ㄓㄣ1"
+ ],
+ "𣘙": [
+ "ㄅㄤ4"
+ ],
+ "𣘚": [
+ "ㄕㄨㄞ4"
+ ],
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+ "ㄉㄡ1"
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+ "𣘝": [
+ "ㄑㄧㄢ1"
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+ "ㄏㄢ2"
+ ],
+ "𣘟": [
+ "ㄑㄧㄚ1"
+ ],
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+ "ㄍㄢ3"
+ ],
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+ "ㄔㄨㄣ2"
+ ],
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+ "ㄙㄚ4"
+ ],
+ "𣘥": [
+ "ㄅㄧ4"
+ ],
+ "𣘦": [
+ "ㄧ1"
+ ],
+ "𣘧": [
+ "ㄈㄨ1"
+ ],
+ "𣘨": [
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+ "ㄜ1"
+ ],
+ "𣘪": [
+ "ㄌㄠ2"
+ ],
+ "𣘫": [
+ "ㄏㄠ2"
+ ],
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+ "ㄌㄧ2"
+ ],
+ "𣘱": [
+ "ㄊㄜ4"
+ ],
+ "𣘲": [
+ "ㄕㄣ1"
+ ],
+ "𣘴": [
+ "ㄧㄣ2"
+ ],
+ "𣘷": [
+ "ㄐㄧㄢ1"
+ ],
+ "𣘻": [
+ "ㄔㄚ2",
+ "ㄊㄨ2"
+ ],
+ "𣙗": [
+ "ㄋㄧㄝ4"
+ ],
+ "𣙘": [
+ "ㄘㄡ4"
+ ],
+ "𣙛": [
+ "ㄧ2"
+ ],
+ "𣙟": [
+ "ㄊㄤ2"
+ ],
+ "𣙢": [
+ "ㄐㄩㄢ4"
+ ],
+ "𣙰": [
+ "ㄔ4"
+ ],
+ "𣙱": [
+ "ㄍㄡ3"
+ ],
+ "𣙴": [
+ "ㄐㄧㄝ2"
+ ],
+ "𣙵": [
+ "ㄓㄜ2"
+ ],
+ "𣙶": [
+ "ㄏㄨ2"
+ ],
+ "𣙷": [
+ "ㄇㄤ2"
+ ],
+ "𣙻": [
+ "ㄗㄡ1"
+ ],
+ "𣙼": [
+ "ㄙ4",
+ "ㄘ2"
+ ],
+ "𣙿": [
+ "ㄈㄟ4"
+ ],
+ "𣚀": [
+ "ㄗ1"
+ ],
+ "𣚁": [
+ "ㄗ1"
+ ],
+ "𣚃": [
+ "ㄐㄧㄝ2"
+ ],
+ "𣚄": [
+ "ㄙ1"
+ ],
+ "𣚆": [
+ "ㄔㄨㄣ1"
+ ],
+ "𣚇": [
+ "ㄆㄠ4"
+ ],
+ "𣚋": [
+ "ㄧㄝ2"
+ ],
+ "𣚌": [
+ "ㄉㄧ1",
+ "ㄕ4"
+ ],
+ "𣚎": [
+ "ㄌㄟ2"
+ ],
+ "𣚏": [
+ "ㄒㄩ1"
+ ],
+ "𣚐": [
+ "ㄖㄨ2"
+ ],
+ "𣚒": [
+ "ㄆㄚ2"
+ ],
+ "𣚓": [
+ "ㄐㄩㄢ4"
+ ],
+ "𣚔": [
+ "ㄒㄧ4"
+ ],
+ "𣚕": [
+ "ㄧㄝ4",
+ "ㄧㄢ3"
+ ],
+ "𣚖": [
+ "ㄢ1"
+ ],
+ "𣚘": [
+ "ㄧ4"
+ ],
+ "𣚙": [
+ "ㄐㄧㄢ1",
+ "ㄐㄧㄢ4"
+ ],
+ "𣚜": [
+ "ㄙㄨㄥ1"
+ ],
+ "𣚝": [
+ "ㄨㄛ3"
+ ],
+ "𣚟": [
+ "ㄙㄜ4"
+ ],
+ "𣚠": [
+ "ㄓ3"
+ ],
+ "𣚡": [
+ "ㄅㄧ1"
+ ],
+ "𣚢": [
+ "ㄓㄨㄢ4"
+ ],
+ "𣚦": [
+ "ㄐㄧㄤ4"
+ ],
+ "𣚧": [
+ "ㄏㄠ4"
+ ],
+ "𣚩": [
+ "ㄔ4"
+ ],
+ "𣚪": [
+ "ㄉㄨㄣ4"
+ ],
+ "𣛓": [
+ "ㄅㄛ2"
+ ],
+ "𣛔": [
+ "ㄐㄧ2"
+ ],
+ "𣛕": [
+ "ㄔㄨㄚ3"
+ ],
+ "𣛗": [
+ "ㄌㄨㄛ4"
+ ],
+ "𣛚": [
+ "ㄖㄨㄟ3"
+ ],
+ "𣛫": [
+ "ㄏㄨ2"
+ ],
+ "𣛱": [
+ "ㄉㄢ4",
+ "ㄌㄢ3"
+ ],
+ "𣛴": [
+ "ㄏㄢ3"
+ ],
+ "𣛵": [
+ "ㄑㄩㄝ4"
+ ],
+ "𣛶": [
+ "ㄕㄚ1"
+ ],
+ "𣛷": [
+ "ㄓㄢ3"
+ ],
+ "𣛸": [
+ "ㄗㄜ2"
+ ],
+ "𣛹": [
+ "ㄔㄨㄢ2",
+ "ㄔㄨㄞ3"
+ ],
+ "𣛺": [
+ "ㄑㄧ1"
+ ],
+ "𣛻": [
+ "ㄉㄧㄝ2"
+ ],
+ "𣛽": [
+ "ㄓㄚ4"
+ ],
+ "𣛾": [
+ "ㄊㄡ4"
+ ],
+ "𣜁": [
+ "ㄘ1"
+ ],
+ "𣜂": [
+ "ㄙㄚ4"
+ ],
+ "𣜄": [
+ "ㄌㄨㄛ2"
+ ],
+ "𣜇": [
+ "ㄐㄧ2"
+ ],
+ "𣜢": [
+ "ㄌㄨㄛ3"
+ ],
+ "𣜣": [
+ "ㄑㄧㄣ2"
+ ],
+ "𣜧": [
+ "ㄑㄩㄥ2"
+ ],
+ "𣜨": [
+ "ㄐㄩㄢ4"
+ ],
+ "𣜬": [
+ "ㄞ4"
+ ],
+ "𣜭": [
+ "ㄐㄧㄢ3"
+ ],
+ "𣜹": [
+ "ㄊㄧ4"
+ ],
+ "𣜺": [
+ "ㄨㄣ2"
+ ],
+ "𣜽": [
+ "ㄑㄧㄠ1"
+ ],
+ "𣝁": [
+ "ㄆㄞ2",
+ "ㄅㄟ1"
+ ],
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+ "ㄙㄤ3"
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+ "ㄌㄧ4"
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+ "ㄌㄠ4"
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+ "ㄓㄠ4"
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+ "ㄌㄟ3"
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+ ],
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+ ],
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+ "ㄌㄠ3"
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+ "ㄋㄧ3"
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+ "ㄘㄣ2"
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+ "ㄧㄢ2"
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+ "ㄌㄟ2"
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+ "ㄨㄢ1"
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+ "ㄋㄚ3"
+ ],
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+ "ㄧㄢ2"
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+ "ㄌㄟ3"
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+ "𣡽": [
+ "ㄕㄚ1"
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+ "ㄒㄧ1"
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+ "ㄒㄧ1"
+ ],
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+ ],
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+ "ㄏㄢ1"
+ ],
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+ "ㄒㄧ1"
+ ],
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+ "ㄨㄚ1"
+ ],
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+ "ㄒㄩ4"
+ ],
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+ "ㄒㄧ1"
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+ ],
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+ "ㄒㄧ1"
+ ],
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+ ],
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+ "ㄒㄧ4"
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+ "ㄘ4"
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+ ],
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+ ],
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+ "ㄨㄚ2"
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+ "ㄜ4"
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+ "ㄧㄡ3",
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+ ],
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+ "ㄋㄧ2"
+ ],
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+ "ㄒㄧㄢ2"
+ ],
+ "𣢠": [
+ "ㄅㄧ4"
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+ "ㄕㄥ1"
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+ "ㄓㄢ1"
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+ "ㄉㄧㄢ4"
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+ "ㄩ3"
+ ],
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+ "ㄡ3"
+ ],
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+ "ㄍㄨㄟ3"
+ ],
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+ "ㄨㄤ3",
+ "ㄨㄤ1"
+ ],
+ "𣢬": [
+ "ㄑㄧㄢ1"
+ ],
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+ "ㄧ2"
+ ],
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+ "ㄗㄨ2"
+ ],
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+ "ㄑㄧㄢ1"
+ ],
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+ "ㄉㄧㄥ4"
+ ],
+ "𣢴": [
+ "ㄎㄥ1"
+ ],
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+ "ㄔㄨ4"
+ ],
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+ "ㄧ1"
+ ],
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+ "ㄏㄢ1"
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+ "ㄎㄨㄢ3"
+ ],
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+ "𣣉": [
+ "ㄒㄧ4"
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+ "ㄗ1"
+ ],
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+ "ㄌㄧㄥ2"
+ ],
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+ "ㄗ4",
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+ ],
+ "𣣎": [
+ "ㄩ4"
+ ],
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+ "ㄏㄨㄣ1"
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+ "ㄙ3"
+ ],
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+ "ㄎㄢ3"
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+ "ㄢ4"
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+ "ㄧㄡ3"
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+ "ㄐㄧ2"
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+ "ㄏㄨㄣ4"
+ ],
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+ "ㄑㄧㄚ1"
+ ],
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+ "ㄏㄡ2"
+ ],
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+ "ㄏㄡ2"
+ ],
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+ "ㄉㄧㄢ4"
+ ],
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+ "ㄒㄧㄝ1"
+ ],
+ "𣣭": [
+ "ㄕㄜ4"
+ ],
+ "𣣮": [
+ "ㄕㄚ4"
+ ],
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+ "ㄒㄧㄝ2"
+ ],
+ "𣣳": [
+ "ㄧㄠ2",
+ "ㄧㄠ3"
+ ],
+ "𣣴": [
+ "ㄉㄚ4"
+ ],
+ "𣣶": [
+ "ㄒㄧㄝ4"
+ ],
+ "𣣷": [
+ "ㄔ1"
+ ],
+ "𣣸": [
+ "ㄧㄡ3"
+ ],
+ "𣣹": [
+ "ㄏㄜ1"
+ ],
+ "𣣺": [
+ "ㄕㄚ4"
+ ],
+ "𣣿": [
+ "ㄊㄞ2"
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+ "ㄓㄨ2"
+ ],
+ "𣤃": [
+ "ㄞ3"
+ ],
+ "𣤇": [
+ "ㄑㄩㄝ4"
+ ],
+ "𣤈": [
+ "ㄗㄜ2"
+ ],
+ "𣤊": [
+ "ㄌㄚ1"
+ ],
+ "𣤋": [
+ "ㄌㄡ4"
+ ],
+ "𣤌": [
+ "ㄔㄨㄞ4",
+ "ㄔ3",
+ "ㄔㄨㄛ4"
+ ],
+ "𣤎": [
+ "ㄧㄡ3"
+ ],
+ "𣤖": [
+ "ㄊㄧ4"
+ ],
+ "𣤘": [
+ "ㄕ1"
+ ],
+ "𣤡": [
+ "ㄒㄧㄠ4",
+ "ㄧㄡ3"
+ ],
+ "𣤢": [
+ "ㄒㄧ4"
+ ],
+ "𣤨": [
+ "ㄏㄨㄛ4"
+ ],
+ "𣤩": [
+ "ㄔ4"
+ ],
+ "𣤪": [
+ "ㄧ4"
+ ],
+ "𣤯": [
+ "ㄕㄨ2"
+ ],
+ "𣤰": [
+ "ㄩㄝ4"
+ ],
+ "𣤱": [
+ "ㄔㄢ2"
+ ],
+ "𣤲": [
+ "ㄜ4"
+ ],
+ "𣤳": [
+ "ㄒㄧ1"
+ ],
+ "𣤴": [
+ "ㄒㄧ1"
+ ],
+ "𣤵": [
+ "ㄧㄥ3"
+ ],
+ "𣤶": [
+ "ㄗㄨ2",
+ "ㄗㄚ1",
+ "ㄗㄢ3"
+ ],
+ "𣤷": [
+ "ㄗㄚ1"
+ ],
+ "𣤺": [
+ "ㄗㄚ1"
+ ],
+ "𣥂": [
+ "ㄊㄚ4"
+ ],
+ "𣥃": [
+ "ㄨㄢ4"
+ ],
+ "𣥇": [
+ "ㄒㄧㄣ4"
+ ],
+ "𣥊": [
+ "ㄨㄤ4"
+ ],
+ "𣥋": [
+ "ㄈㄨ3"
+ ],
+ "𣥐": [
+ "ㄌㄨ3",
+ "ㄌㄩ3"
+ ],
+ "𣥞": [
+ "ㄐㄧㄢ3"
+ ],
+ "𣥡": [
+ "ㄧㄢ2"
+ ],
+ "𣥣": [
+ "ㄅㄧ4"
+ ],
+ "𣥤": [
+ "ㄎㄣ3"
+ ],
+ "𣥥": [
+ "ㄍㄨㄢ4"
+ ],
+ "𣥨": [
+ "ㄗ1"
+ ],
+ "𣥮": [
+ "ㄎㄨㄟ3"
+ ],
+ "𣥯": [
+ "ㄓㄡ3"
+ ],
+ "𣥰": [
+ "ㄓ4"
+ ],
+ "𣥳": [
+ "ㄊㄨ2"
+ ],
+ "𣥷": [
+ "ㄊㄚ4"
+ ],
+ "𣥹": [
+ "ㄔㄨ4"
+ ],
+ "𣥺": [
+ "ㄔㄥ1"
+ ],
+ "𣥻": [
+ "ㄔㄥ3"
+ ],
+ "𣥼": [
+ "ㄓㄨ4"
+ ],
+ "𣥾": [
+ "ㄉㄚ4"
+ ],
+ "𣦇": [
+ "ㄅㄧ4"
+ ],
+ "𣦉": [
+ "ㄐㄧㄚ3"
+ ],
+ "𣦌": [
+ "ㄧ4"
+ ],
+ "𣦏": [
+ "ㄩㄝ4"
+ ],
+ "𣦐": [
+ "ㄍㄤ1"
+ ],
+ "𣦖": [
+ "ㄍㄢ1"
+ ],
+ "𣦜": [
+ "ㄑㄧㄠ1"
+ ],
+ "𣦠": [
+ "ㄔㄨ2"
+ ],
+ "𣦡": [
+ "ㄔㄨ2"
+ ],
+ "𣦢": [
+ "ㄅㄧ4"
+ ],
+ "𣦦": [
+ "ㄍㄨㄟ4"
+ ],
+ "𣦩": [
+ "ㄍㄨ3"
+ ],
+ "𣦪": [
+ "ㄅㄧㄥ3"
+ ],
+ "𣦫": [
+ "ㄧㄣ4"
+ ],
+ "𣦬": [
+ "ㄓㄨㄟ4"
+ ],
+ "𣦭": [
+ "ㄍㄨ3"
+ ],
+ "𣦯": [
+ "ㄌㄧ4"
+ ],
+ "𣦵": [
+ "ㄜ4",
+ "ㄓㄣ1"
+ ],
+ "𣦶": [
+ "ㄉㄞ3"
+ ],
+ "𣦼": [
+ "ㄘㄢ2"
+ ],
+ "𣧂": [
+ "ㄊㄧ4"
+ ],
+ "𣧃": [
+ "ㄉㄨ4"
+ ],
+ "𣧄": [
+ "ㄧ4"
+ ],
+ "𣧈": [
+ "ㄉㄧㄝ2"
+ ],
+ "𣧊": [
+ "ㄋㄧㄡ3"
+ ],
+ "𣧌": [
+ "ㄒㄩㄝ4"
+ ],
+ "𣧍": [
+ "ㄋㄜ4"
+ ],
+ "𣧎": [
+ "ㄍㄨㄟ4"
+ ],
+ "𣧏": [
+ "ㄎㄠ3"
+ ],
+ "𣧒": [
+ "ㄔㄨㄢ3",
+ "ㄇㄛ4"
+ ],
+ "𣧖": [
+ "ㄓㄚ2"
+ ],
+ "𣧗": [
+ "ㄧㄡ2"
+ ],
+ "𣧙": [
+ "ㄅㄞ4"
+ ],
+ "𣧚": [
+ "ㄕ2"
+ ],
+ "𣧛": [
+ "ㄉㄧㄢ4"
+ ],
+ "𣧜": [
+ "ㄆㄚ1"
+ ],
+ "𣧝": [
+ "ㄑㄧㄡ2"
+ ],
+ "𣧡": [
+ "ㄒㄩㄝ4"
+ ],
+ "𣧣": [
+ "ㄇㄛ4"
+ ],
+ "𣧤": [
+ "ㄎㄜ1"
+ ],
+ "𣧥": [
+ "ㄧㄡ3"
+ ],
+ "𣧦": [
+ "ㄐㄧㄠ3"
+ ],
+ "𣧧": [
+ "ㄅㄛ2"
+ ],
+ "𣧬": [
+ "ㄒㄧㄡ3"
+ ],
+ "𣧲": [
+ "ㄇㄧ3"
+ ],
+ "𣧳": [
+ "ㄌㄨㄛ4"
+ ],
+ "𣧵": [
+ "ㄒㄩㄝ4",
+ "ㄒㄩ4"
+ ],
+ "𣧷": [
+ "ㄉㄨㄛ4"
+ ],
+ "𣧹": [
+ "ㄦ4"
+ ],
+ "𣧺": [
+ "ㄕㄢ1"
+ ],
+ "𣧼": [
+ "ㄎㄨㄟ4"
+ ],
+ "𣧽": [
+ "ㄋㄠ4"
+ ],
+ "𣧾": [
+ "ㄇㄧㄢ3"
+ ],
+ "𣧿": [
+ "ㄌㄧ4"
+ ],
+ "𣨀": [
+ "ㄌㄨㄢ4"
+ ],
+ "𣨂": [
+ "ㄉㄧㄝ2"
+ ],
+ "𣨄": [
+ "ㄑㄧㄚ4"
+ ],
+ "𣨅": [
+ "ㄌㄟ4"
+ ],
+ "𣨇": [
+ "ㄇㄠ4"
+ ],
+ "𣨉": [
+ "ㄏㄥ1"
+ ],
+ "𣨊": [
+ "ㄔㄜ4"
+ ],
+ "𣨋": [
+ "ㄓ4"
+ ],
+ "𣨍": [
+ "ㄍㄨ3"
+ ],
+ "𣨎": [
+ "ㄘㄨㄛ1"
+ ],
+ "𣨓": [
+ "ㄨ4"
+ ],
+ "𣨔": [
+ "ㄊㄠ4"
+ ],
+ "𣨗": [
+ "ㄒㄧ1"
+ ],
+ "𣨘": [
+ "ㄧㄠ1"
+ ],
+ "𣨙": [
+ "ㄨㄟ3",
+ "ㄨㄟ4"
+ ],
+ "𣨛": [
+ "ㄗㄨ2"
+ ],
+ "𣨜": [
+ "ㄇㄚ4"
+ ],
+ "𣨝": [
+ "ㄩ3"
+ ],
+ "𣨞": [
+ "ㄆㄥ3"
+ ],
+ "𣨟": [
+ "ㄧ4"
+ ],
+ "𣨠": [
+ "ㄑㄧㄣ4",
+ "ㄑㄧㄣ1"
+ ],
+ "𣨡": [
+ "ㄩㄝ4"
+ ],
+ "𣨢": [
+ "ㄐㄩㄝ4"
+ ],
+ "𣨣": [
+ "ㄐㄧㄤ4"
+ ],
+ "𣨤": [
+ "ㄒㄩ4"
+ ],
+ "𣨥": [
+ "ㄅㄥ1"
+ ],
+ "𣨪": [
+ "ㄌㄨㄛ3"
+ ],
+ "𣨫": [
+ "ㄓㄨㄟ1"
+ ],
+ "𣨲": [
+ "ㄉㄨ4"
+ ],
+ "𣨳": [
+ "ㄒㄧㄤ4"
+ ],
+ "𣨶": [
+ "ㄏㄨㄟ4"
+ ],
+ "𣨺": [
+ "ㄍㄨ3"
+ ],
+ "𣨻": [
+ "ㄎㄠ3"
+ ],
+ "𣨾": [
+ "ㄒㄧㄥ1"
+ ],
+ "𣨿": [
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+ ],
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+ "ㄎㄠ3"
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+ "ㄧㄢ1"
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+ "ㄕㄢ4"
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+ "ㄎㄜ1"
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+ "ㄐㄧㄤ4"
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+ "ㄙㄨ1"
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+ "ㄏㄨㄞ4"
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+ "ㄩ4"
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+ "ㄖㄤ3"
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+ "ㄔㄡ2"
+ ],
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+ "ㄑㄧ4"
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+ "ㄕㄢ3"
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+ "ㄍㄨ3"
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+ "ㄍㄡ4"
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+ "ㄙㄨ4"
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+ "ㄔㄡ2"
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+ "ㄎㄥ1"
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+ "ㄉㄨ1"
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+ "ㄧ4"
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+ "ㄉㄠ4"
+ ],
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+ "ㄑㄧㄤ1"
+ ],
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+ "ㄌㄧ2"
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+ "ㄌㄧ4"
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+ "ㄨㄟ1"
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+ "ㄑㄧ4"
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+ "ㄉㄞ4"
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+ "ㄌㄡ2"
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+ "ㄆㄟ2"
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+ "ㄆㄧ2"
+ ],
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+ "ㄔㄨㄛ4"
+ ],
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+ "ㄅㄟ1"
+ ],
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+ "ㄐㄩㄝ2"
+ ],
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+ "ㄐㄩㄢ4"
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+ "ㄕ4"
+ ],
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+ "ㄒㄧㄝ3"
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+ "ㄖㄨㄟ2"
+ ],
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+ "ㄐㄧㄥ4"
+ ],
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+ "ㄆㄛ4"
+ ],
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+ "ㄙㄢ1",
+ "ㄕㄢ1"
+ ],
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+ "ㄐㄧ1"
+ ],
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+ "ㄈㄣ1"
+ ],
+ "𣬪": [
+ "ㄅㄟ4"
+ ],
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+ "ㄍㄚ4"
+ ],
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+ "ㄙㄚ1"
+ ],
+ "𣬮": [
+ "ㄆㄧ1"
+ ],
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+ "ㄉㄧ4"
+ ],
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+ "ㄇㄠ4"
+ ],
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+ "ㄅㄚ5"
+ ],
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+ "ㄅㄚ5"
+ ],
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+ "ㄊㄧㄠ2"
+ ],
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+ "ㄌㄧㄥ2"
+ ],
+ "𣬺": [
+ "ㄕㄥ1"
+ ],
+ "𣬻": [
+ "ㄓㄣ3"
+ ],
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+ "ㄆㄧ1"
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+ "ㄗㄜ4"
+ ],
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+ "ㄅㄠ4"
+ ],
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+ "ㄌㄩ3"
+ ],
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+ "ㄏㄠ1"
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+ "ㄉㄡ3"
+ ],
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+ "ㄈㄨ2"
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+ "ㄋㄧ2"
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+ "ㄍㄜ2"
+ ],
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+ ],
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+ "ㄒㄧㄢ3"
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+ "𣭤": [
+ "ㄅㄧ4"
+ ],
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+ "ㄇㄠ2"
+ ],
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+ "ㄖㄨㄥ3"
+ ],
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+ "ㄑㄧㄡ2",
+ "ㄑㄩ2"
+ ],
+ "𣭷": [
+ "ㄅㄛ2"
+ ],
+ "𣭹": [
+ "ㄏㄠ1"
+ ],
+ "𣭺": [
+ "ㄋㄠ3"
+ ],
+ "𣭻": [
+ "ㄧㄢ2"
+ ],
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+ "ㄆㄠ2"
+ ],
+ "𣮄": [
+ "ㄙㄨㄟ1"
+ ],
+ "𣮆": [
+ "ㄊㄨㄛ4"
+ ],
+ "𣮈": [
+ "ㄑㄩ1"
+ ],
+ "𣮉": [
+ "ㄌㄧ2"
+ ],
+ "𣮊": [
+ "ㄉㄜ2"
+ ],
+ "𣮌": [
+ "ㄐㄧㄝ2"
+ ],
+ "𣮍": [
+ "ㄐㄧㄝ2"
+ ],
+ "𣮎": [
+ "ㄍㄨㄣ3"
+ ],
+ "𣮏": [
+ "ㄐㄧㄢ1"
+ ],
+ "𣮐": [
+ "ㄅㄧ4"
+ ],
+ "𣮠": [
+ "ㄙㄢ4"
+ ],
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+ "ㄅㄤ1"
+ ],
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+ "ㄔㄨㄣ2"
+ ],
+ "𣮦": [
+ "ㄋㄞ4"
+ ],
+ "𣮧": [
+ "ㄅㄤ3"
+ ],
+ "𣮪": [
+ "ㄖㄨㄥ2"
+ ],
+ "𣮫": [
+ "ㄐㄧㄚ1"
+ ],
+ "𣮬": [
+ "ㄙㄡ1"
+ ],
+ "𣮰": [
+ "ㄉㄜ2"
+ ],
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+ "ㄒㄧㄢ1"
+ ],
+ "𣮿": [
+ "ㄓㄢ1"
+ ],
+ "𣯀": [
+ "ㄇㄠ4"
+ ],
+ "𣯃": [
+ "ㄗ1"
+ ],
+ "𣯅": [
+ "ㄐㄧ4"
+ ],
+ "𣯆": [
+ "ㄑㄧ2"
+ ],
+ "𣯋": [
+ "ㄖㄨ4"
+ ],
+ "𣯌": [
+ "ㄙㄨㄛ1"
+ ],
+ "𣯍": [
+ "ㄖㄨㄥ3"
+ ],
+ "𣯎": [
+ "ㄨ4"
+ ],
+ "𣯏": [
+ "ㄖㄨㄥ2",
+ "ㄖㄨㄥ3"
+ ],
+ "𣯐": [
+ "ㄖㄨㄥ2"
+ ],
+ "𣯚": [
+ "ㄊㄚ4"
+ ],
+ "𣯜": [
+ "ㄙㄡ1"
+ ],
+ "𣯤": [
+ "ㄌㄧ2"
+ ],
+ "𣯧": [
+ "ㄘㄨㄟ3",
+ "ㄙㄨㄟ1"
+ ],
+ "𣯨": [
+ "ㄗㄨㄥ1"
+ ],
+ "𣯩": [
+ "ㄇㄣ2"
+ ],
+ "𣯪": [
+ "ㄒㄧ3"
+ ],
+ "𣯬": [
+ "ㄇㄤ3"
+ ],
+ "𣯭": [
+ "ㄋㄧㄝ4"
+ ],
+ "𣯯": [
+ "ㄙㄨㄟ1"
+ ],
+ "𣯱": [
+ "ㄆㄟ2"
+ ],
+ "𣯴": [
+ "ㄅㄧ4"
+ ],
+ "𣯵": [
+ "ㄉㄧ4"
+ ],
+ "𣯸": [
+ "ㄑㄩ2"
+ ],
+ "𣯹": [
+ "ㄑㄧㄠ2"
+ ],
+ "𣯻": [
+ "ㄈㄣ1"
+ ],
+ "𣯼": [
+ "ㄙㄨ4"
+ ],
+ "𣰃": [
+ "ㄒㄩ1"
+ ],
+ "𣰇": [
+ "ㄖㄨㄥ3"
+ ],
+ "𣰈": [
+ "ㄐㄧ1"
+ ],
+ "𣰋": [
+ "ㄑㄩ2"
+ ],
+ "𣰌": [
+ "ㄌㄧㄝ4",
+ "ㄏㄜ2"
+ ],
+ "𣰕": [
+ "ㄙㄠ4"
+ ],
+ "𣰘": [
+ "ㄎㄨㄣ4"
+ ],
+ "𣰚": [
+ "ㄘㄨㄟ4"
+ ],
+ "𣰛": [
+ "ㄧㄝ4"
+ ],
+ "𣰜": [
+ "ㄅㄧㄥ4"
+ ],
+ "𣰞": [
+ "ㄐㄧㄝ2"
+ ],
+ "𣰠": [
+ "ㄑㄩ2"
+ ],
+ "𣰡": [
+ "ㄑㄩ2"
+ ],
+ "𣰥": [
+ "ㄇㄥ2"
+ ],
+ "𣰦": [
+ "ㄖㄢ2",
+ "ㄍㄢ1"
+ ],
+ "𣰨": [
+ "ㄅㄧㄣ1"
+ ],
+ "𣰩": [
+ "ㄔㄠ2"
+ ],
+ "𣰬": [
+ "ㄉㄨ2"
+ ],
+ "𣰶": [
+ "ㄖㄤ2",
+ "ㄋㄤ3"
+ ],
+ "𣰷": [
+ "ㄒㄧㄢ1"
+ ],
+ "𣰺": [
+ "ㄊㄠ2"
+ ],
+ "𣰻": [
+ "ㄑㄩ2"
+ ],
+ "𣰼": [
+ "ㄋㄧㄝ4"
+ ],
+ "𣰿": [
+ "ㄕㄨ1"
+ ],
+ "𣱀": [
+ "ㄌㄨ3"
+ ],
+ "𣱂": [
+ "ㄎㄨㄣ4"
+ ],
+ "𣱈": [
+ "ㄇㄧㄣ2"
+ ],
+ "𣱉": [
+ "ㄇㄧㄣ3"
+ ],
+ "𣱍": [
+ "ㄉㄢ4"
+ ],
+ "𣱐": [
+ "ㄧㄣ4",
+ "ㄓ4"
+ ],
+ "𣱓": [
+ "ㄒㄧㄠ4",
+ "ㄏㄠ4"
+ ],
+ "𣱗": [
+ "ㄐㄧ4"
+ ],
+ "𣱜": [
+ "ㄧㄣ1"
+ ],
+ "𣱦": [
+ "ㄈㄣ1"
+ ],
+ "𣱧": [
+ "ㄓㄨㄥ4"
+ ],
+ "𣱫": [
+ "ㄍㄨ3"
+ ],
+ "𣱱": [
+ "ㄔㄚ2"
+ ],
+ "𣱳": [
+ "ㄌㄧㄡ2"
+ ],
+ "𣱶": [
+ "ㄅㄨ3"
+ ],
+ "𣱺": [
+ "ㄆㄚ1"
+ ],
+ "𣱻": [
+ "ㄙ4"
+ ],
+ "𣱼": [
+ "ㄉㄠ1"
+ ],
+ "𣱽": [
+ "ㄓㄣ3"
+ ],
+ "𣲀": [
+ "ㄕㄢ1"
+ ],
+ "𣲂": [
+ "ㄔㄨㄞ3"
+ ],
+ "𣲄": [
+ "ㄐㄧㄡ3"
+ ],
+ "𣲊": [
+ "ㄎㄜ4"
+ ],
+ "𣲋": [
+ "ㄔ2"
+ ],
+ "𣲑": [
+ "ㄏㄨ4",
+ "ㄔ2",
+ "ㄏㄜ2",
+ "ㄏㄨ2"
+ ],
+ "𣲒": [
+ "ㄌㄧ4",
+ "ㄌㄜ4"
+ ],
+ "𣲓": [
+ "ㄕㄚ1"
+ ],
+ "𣲖": [
+ "ㄆㄞ4",
+ "ㄌㄧㄡ2",
+ "ㄍㄨ1"
+ ],
+ "𣲗": [
+ "ㄨㄟ2"
+ ],
+ "𣲘": [
+ "ㄨ3"
+ ],
+ "𣲜": [
+ "ㄧㄥ2"
+ ],
+ "𣲡": [
+ "ㄕㄚ1",
+ "ㄐㄧ2",
+ "ㄐㄧㄝ2"
+ ],
+ "𣲢": [
+ "ㄉㄧ1"
+ ],
+ "𣲥": [
+ "ㄉㄢ1"
+ ],
+ "𣲱": [
+ "ㄊㄨ1"
+ ],
+ "𣲲": [
+ "ㄏㄜ2"
+ ],
+ "𣲳": [
+ "ㄆㄛ3"
+ ],
+ "𣲵": [
+ "ㄓ3"
+ ],
+ "𣲶": [
+ "ㄋㄧㄡ3"
+ ],
+ "𣲷": [
+ "ㄋㄧ4"
+ ],
+ "𣲽": [
+ "ㄖㄨㄥ3"
+ ],
+ "𣲾": [
+ "ㄍㄨㄞ4"
+ ],
+ "𣳀": [
+ "ㄓ2"
+ ],
+ "𣳃": [
+ "ㄐㄧ2"
+ ],
+ "𣳜": [
+ "ㄈㄢ4"
+ ],
+ "𣳟": [
+ "ㄐㄧㄝ2"
+ ],
+ "𣳠": [
+ "ㄏㄞ3",
+ "ㄇㄨ3"
+ ],
+ "𣳤": [
+ "ㄓㄢ4"
+ ],
+ "𣳦": [
+ "ㄒㄧ4",
+ "ㄋㄠ2"
+ ],
+ "𣳩": [
+ "ㄗ1"
+ ],
+ "𣳬": [
+ "ㄒㄧ2"
+ ],
+ "𣳭": [
+ "ㄆㄧㄠ4"
+ ],
+ "𣳰": [
+ "ㄅㄣ1"
+ ],
+ "𣳲": [
+ "ㄐㄧㄢ3"
+ ],
+ "𣴓": [
+ "ㄐㄧㄢ4"
+ ],
+ "𣴖": [
+ "ㄗㄚ2"
+ ],
+ "𣴞": [
+ "ㄅㄣ4"
+ ],
+ "𣴟": [
+ "ㄇㄠ4",
+ "ㄏㄨㄢ3"
+ ],
+ "𣴢": [
+ "ㄗㄠ4"
+ ],
+ "𣴣": [
+ "ㄓㄨㄤ4"
+ ],
+ "𣴥": [
+ "ㄎㄨㄤ2"
+ ],
+ "𣴨": [
+ "ㄅㄧ2"
+ ],
+ "𣴪": [
+ "ㄆㄞ4",
+ "ㄆㄧ4"
+ ],
+ "𣴼": [
+ "ㄇㄠ4"
+ ],
+ "𣴽": [
+ "ㄊㄢ4"
+ ],
+ "𣵞": [
+ "ㄊㄨㄣ3"
+ ],
+ "𣵟": [
+ "ㄌㄨㄛ3"
+ ],
+ "𣵢": [
+ "ㄊㄢ1"
+ ],
+ "𣵱": [
+ "ㄢ2"
+ ],
+ "𣵷": [
+ "ㄏㄢ2",
+ "ㄍㄢ4"
+ ],
+ "𣵸": [
+ "ㄓㄨ2"
+ ],
+ "𣵺": [
+ "ㄉㄨㄛ4",
+ "ㄊㄨㄛ2"
+ ],
+ "𣵻": [
+ "ㄉㄨㄛ4",
+ "ㄊㄨㄛ2"
+ ],
+ "𣵼": [
+ "ㄍㄢ4"
+ ],
+ "𣶆": [
+ "ㄑㄩㄥ4"
+ ],
+ "𣶈": [
+ "ㄨㄤ3",
+ "ㄇㄤ3"
+ ],
+ "𣶊": [
+ "ㄇㄛ4"
+ ],
+ "𣶋": [
+ "ㄓㄜ4"
+ ],
+ "𣶌": [
+ "ㄨㄣ3"
+ ],
+ "𣶍": [
+ "ㄓㄨㄤ4"
+ ],
+ "𣶏": [
+ "ㄐㄧㄝ1",
+ "ㄉㄧㄝ1"
+ ],
+ "𣶐": [
+ "ㄆㄠ4"
+ ],
+ "𣶘": [
+ "ㄙㄨ4"
+ ],
+ "𣶝": [
+ "ㄐㄩ4"
+ ],
+ "𣶠": [
+ "ㄑㄧ1"
+ ],
+ "𣶡": [
+ "ㄘㄢ4"
+ ],
+ "𣶣": [
+ "ㄊㄨㄢ2"
+ ],
+ "𣶤": [
+ "ㄕㄚ1"
+ ],
+ "𣶦": [
+ "ㄊㄨㄛ2"
+ ],
+ "𣶩": [
+ "ㄏㄨㄚ4"
+ ],
+ "𣶫": [
+ "ㄧ4"
+ ],
+ "𣷠": [
+ "ㄇㄧㄣ2"
+ ],
+ "𣷡": [
+ "ㄓㄨㄥ1"
+ ],
+ "𣷥": [
+ "ㄕㄨㄛ4"
+ ],
+ "𣷩": [
+ "ㄧ4"
+ ],
+ "𣷪": [
+ "ㄨㄤ3"
+ ],
+ "𣷫": [
+ "ㄠ2"
+ ],
+ "𣷶": [
+ "ㄙㄨ3"
+ ],
+ "𣷾": [
+ "ㄍㄨㄟ3"
+ ],
+ "𣷿": [
+ "ㄊㄨㄛ3"
+ ],
+ "𣸀": [
+ "ㄏㄨㄟ3"
+ ],
+ "𣸃": [
+ "ㄒㄩ4"
+ ],
+ "𣸄": [
+ "ㄗㄢ3"
+ ],
+ "𣸆": [
+ "ㄗ3"
+ ],
+ "𣸇": [
+ "ㄅㄧㄢ4"
+ ],
+ "𣸉": [
+ "ㄉㄚ2"
+ ],
+ "𣸊": [
+ "ㄧㄣ1"
+ ],
+ "𣸋": [
+ "ㄑㄩㄢ3"
+ ],
+ "𣸎": [
+ "ㄏㄨㄞ4"
+ ],
+ "𣸏": [
+ "ㄋㄚ2"
+ ],
+ "𣸐": [
+ "ㄗㄚ2"
+ ],
+ "𣸒": [
+ "ㄊㄧ2"
+ ],
+ "𣸘": [
+ "ㄧ2"
+ ],
+ "𣸙": [
+ "ㄊㄢ1"
+ ],
+ "𣸚": [
+ "ㄕㄜ2"
+ ],
+ "𣸛": [
+ "ㄕㄨㄛ4"
+ ],
+ "𣸝": [
+ "ㄒㄧㄥ2"
+ ],
+ "𣸠": [
+ "ㄧㄡ3"
+ ],
+ "𣸣": [
+ "ㄈㄣ2"
+ ],
+ "𣹇": [
+ "ㄎㄜ4"
+ ],
+ "𣹋": [
+ "ㄈㄨ2"
+ ],
+ "𣹒": [
+ "ㄇㄧㄣ3"
+ ],
+ "𣹚": [
+ "ㄆㄧ4"
+ ],
+ "𣹜": [
+ "ㄐㄧ2"
+ ],
+ "𣹝": [
+ "ㄑㄧㄠ4",
+ "ㄒㄧㄠ4"
+ ],
+ "𣹞": [
+ "ㄓㄨㄥ3"
+ ],
+ "𣹟": [
+ "ㄍㄢ4"
+ ],
+ "𣹠": [
+ "ㄩㄢ1"
+ ],
+ "𣹡": [
+ "ㄔ2"
+ ],
+ "𣹥": [
+ "ㄑㄧㄢ4"
+ ],
+ "𣹧": [
+ "ㄗㄨㄛ2",
+ "ㄓㄚ4"
+ ],
+ "𣹩": [
+ "ㄒㄧㄝ2"
+ ],
+ "𣹪": [
+ "ㄇㄠ2"
+ ],
+ "𣹬": [
+ "ㄏㄨ2"
+ ],
+ "𣹮": [
+ "ㄆㄧ4"
+ ],
+ "𣹯": [
+ "ㄒㄩㄣ4"
+ ],
+ "𣹱": [
+ "ㄒㄧㄚ2"
+ ],
+ "𣹲": [
+ "ㄊㄧ2"
+ ],
+ "𣹵": [
+ "ㄋㄚ4"
+ ],
+ "𣹶": [
+ "ㄔㄨㄚ3"
+ ],
+ "𣺀": [
+ "ㄨ3"
+ ],
+ "𣺬": [
+ "ㄏㄨㄤ1"
+ ],
+ "𣺭": [
+ "ㄒㄩㄝ4"
+ ],
+ "𣺮": [
+ "ㄊㄠ4"
+ ],
+ "𣺰": [
+ "ㄑㄧㄠ4"
+ ],
+ "𣺳": [
+ "ㄐㄧㄠ1"
+ ],
+ "𣺼": [
+ "ㄉㄤ3"
+ ],
+ "𣺽": [
+ "ㄅㄞ4"
+ ],
+ "𣻍": [
+ "ㄉㄤ4",
+ "ㄒㄧㄤ4"
+ ],
+ "𣻎": [
+ "ㄎㄡ4"
+ ],
+ "𣻐": [
+ "ㄐㄩ1"
+ ],
+ "𣻑": [
+ "ㄕㄚ1",
+ "ㄕㄞ4"
+ ],
+ "𣻒": [
+ "ㄐㄧㄥ1"
+ ],
+ "𣻕": [
+ "ㄇㄛ2"
+ ],
+ "𣻖": [
+ "ㄋㄡ2"
+ ],
+ "𣻘": [
+ "ㄕㄨㄛ4"
+ ],
+ "𣻚": [
+ "ㄕㄨ4"
+ ],
+ "𣻛": [
+ "ㄓㄨㄤ1"
+ ],
+ "𣻜": [
+ "ㄈㄨ2"
+ ],
+ "𣻟": [
+ "ㄗㄤ1"
+ ],
+ "𣻠": [
+ "ㄒㄧㄝ2"
+ ],
+ "𣻡": [
+ "ㄌㄤ4"
+ ],
+ "𣻢": [
+ "ㄊㄨㄥ1"
+ ],
+ "𣻩": [
+ "ㄓㄜ2"
+ ],
+ "𣻬": [
+ "ㄘㄢ4"
+ ],
+ "𣻮": [
+ "ㄩㄝ4"
+ ],
+ "𣻱": [
+ "ㄓㄡ4"
+ ],
+ "𣼚": [
+ "ㄊㄢ1"
+ ],
+ "𣼞": [
+ "ㄧㄢ2"
+ ],
+ "𣼟": [
+ "ㄌㄨ4"
+ ],
+ "𣼠": [
+ "ㄧㄢ3"
+ ],
+ "𣼦": [
+ "ㄗㄜ2"
+ ],
+ "𣼧": [
+ "ㄕㄨㄞ4"
+ ],
+ "𣽅": [
+ "ㄍㄨㄛ1"
+ ],
+ "𣽆": [
+ "ㄓㄨ2"
+ ],
+ "𣽈": [
+ "ㄖㄨ2",
+ "ㄖㄨㄢ2"
+ ],
+ "𣽉": [
+ "ㄖㄨ2"
+ ],
+ "𣽌": [
+ "ㄎㄢ3"
+ ],
+ "𣽍": [
+ "ㄐㄧ4"
+ ],
+ "𣽎": [
+ "ㄍㄠ1",
+ "ㄗㄜ2",
+ "ㄏㄠ2"
+ ],
+ "𣽒": [
+ "ㄒㄧㄝ4"
+ ],
+ "𣽕": [
+ "ㄡ4"
+ ],
+ "𣽖": [
+ "ㄐㄧㄢ1"
+ ],
+ "𣽚": [
+ "ㄓ2"
+ ],
+ "𣽛": [
+ "ㄓㄚ2"
+ ],
+ "𣽝": [
+ "ㄏㄨㄥ3"
+ ],
+ "𣽟": [
+ "ㄎㄨㄢ3"
+ ],
+ "𣽡": [
+ "ㄅㄛ2"
+ ],
+ "𣽤": [
+ "ㄙㄜ4"
+ ],
+ "𣽥": [
+ "ㄢ4"
+ ],
+ "𣽦": [
+ "ㄐㄧㄢ4"
+ ],
+ "𣽨": [
+ "ㄊㄥ2"
+ ],
+ "𣽫": [
+ "ㄙㄨㄥ1"
+ ],
+ "𣽭": [
+ "ㄇㄥ4"
+ ],
+ "𣽮": [
+ "ㄧㄣ2"
+ ],
+ "𣽯": [
+ "ㄊㄢ1"
+ ],
+ "𣽰": [
+ "ㄍㄨㄛ1"
+ ],
+ "𣽳": [
+ "ㄖㄨㄢ2"
+ ],
+ "𣽴": [
+ "ㄨㄟ4"
+ ],
+ "𣽷": [
+ "ㄙ4"
+ ],
+ "𣾤": [
+ "ㄑㄧ4"
+ ],
+ "𣾦": [
+ "ㄓㄤ3"
+ ],
+ "𣿅": [
+ "ㄉㄨㄥ3"
+ ],
+ "𣿆": [
+ "ㄈㄨ2"
+ ],
+ "𣿇": [
+ "ㄕㄣ3"
+ ],
+ "𣿈": [
+ "ㄙㄨ4"
+ ],
+ "𣿉": [
+ "ㄧ4"
+ ],
+ "𣿊": [
+ "ㄌㄧㄢ4"
+ ],
+ "𣿌": [
+ "ㄏㄜ2"
+ ],
+ "𣿎": [
+ "ㄓㄣ1"
+ ],
+ "𣿐": [
+ "ㄗㄜ2"
+ ],
+ "𣿒": [
+ "ㄘㄨㄟ3"
+ ],
+ "𣿓": [
+ "ㄘㄨㄟ3"
+ ],
+ "𣿝": [
+ "ㄈㄥ4"
+ ],
+ "𣿞": [
+ "ㄌㄧ3"
+ ],
+ "𣿟": [
+ "ㄎㄡ4"
+ ],
+ "𣿣": [
+ "ㄒㄧㄠ4"
+ ],
+ "𣿤": [
+ "ㄧㄡ3"
+ ],
+ "𤀃": [
+ "ㄏㄠ2"
+ ],
+ "𤀉": [
+ "ㄏㄢ4"
+ ],
+ "𤀊": [
+ "ㄎㄣ3"
+ ],
+ "𤀝": [
+ "ㄩ4"
+ ],
+ "𤀣": [
+ "ㄏㄨㄢ3"
+ ],
+ "𤀤": [
+ "ㄙㄨㄛ1",
+ "ㄕㄢ4",
+ "ㄕㄨㄞ4"
+ ],
+ "𤀦": [
+ "ㄌㄚ4"
+ ],
+ "𤀨": [
+ "ㄉㄡ4"
+ ],
+ "𤀩": [
+ "ㄐㄧㄢ4"
+ ],
+ "𤀪": [
+ "ㄆㄛ1"
+ ],
+ "𤀫": [
+ "ㄅㄧㄢ3"
+ ],
+ "𤀰": [
+ "ㄒㄩㄝ4"
+ ],
+ "𤀲": [
+ "ㄅㄧㄢ4"
+ ],
+ "𤀷": [
+ "ㄨㄟ4"
+ ],
+ "𤁡": [
+ "ㄉㄢ4"
+ ],
+ "𤁢": [
+ "ㄐㄧㄝ2"
+ ],
+ "𤁣": [
+ "ㄅㄞ4"
+ ],
+ "𤁥": [
+ "ㄋㄧㄢ3"
+ ],
+ "𤁦": [
+ "ㄒㄧㄢ4"
+ ],
+ "𤁧": [
+ "ㄙㄜ4"
+ ],
+ "𤁪": [
+ "ㄏㄨㄚ2"
+ ],
+ "𤁫": [
+ "ㄔㄨㄚ1"
+ ],
+ "𤁮": [
+ "ㄡ4"
+ ],
+ "𤁯": [
+ "ㄌㄧㄝ4"
+ ],
+ "𤁰": [
+ "ㄉㄧ2"
+ ],
+ "𤁱": [
+ "ㄘㄞ4"
+ ],
+ "𤁳": [
+ "ㄓㄚ2"
+ ],
+ "𤁵": [
+ "ㄌㄩ2"
+ ],
+ "𤁹": [
+ "ㄏㄨㄛ4"
+ ],
+ "𤁼": [
+ "ㄌㄧ4"
+ ],
+ "𤁽": [
+ "ㄧㄥ3"
+ ],
+ "𤁿": [
+ "ㄨㄟ3"
+ ],
+ "𤂀": [
+ "ㄅㄧ4"
+ ],
+ "𤂁": [
+ "ㄍㄨㄛ2"
+ ],
+ "𤂃": [
+ "ㄆㄧ4"
+ ],
+ "𤂆": [
+ "ㄅㄧㄠ1"
+ ],
+ "𤂠": [
+ "ㄧㄢ3"
+ ],
+ "𤂤": [
+ "ㄓㄨㄢ4"
+ ],
+ "𤂲": [
+ "ㄏㄨㄥ2"
+ ],
+ "𤂶": [
+ "ㄌㄧㄣ4"
+ ],
+ "𤂷": [
+ "ㄜ4"
+ ],
+ "𤂹": [
+ "ㄧㄣ3"
+ ],
+ "𤂺": [
+ "ㄌㄢ4"
+ ],
+ "𤂼": [
+ "ㄧㄠ4"
+ ],
+ "𤂿": [
+ "ㄒㄩㄢ4"
+ ],
+ "𤃀": [
+ "ㄌㄧ4"
+ ],
+ "𤃨": [
+ "ㄌㄢ4"
+ ],
+ "𤃩": [
+ "ㄌㄧㄥ2"
+ ],
+ "𤃪": [
+ "ㄒㄧ1"
+ ],
+ "𤃫": [
+ "ㄏㄨㄥ1"
+ ],
+ "𤃭": [
+ "ㄐㄧㄠ3"
+ ],
+ "𤃮": [
+ "ㄓㄨㄛ2"
+ ],
+ "𤃲": [
+ "ㄓ2"
+ ],
+ "𤃵": [
+ "ㄅㄛ2"
+ ],
+ "𤃶": [
+ "ㄊㄥ1"
+ ],
+ "𤃷": [
+ "ㄢ3"
+ ],
+ "𤃺": [
+ "ㄒㄩㄣ2"
+ ],
+ "𤃻": [
+ "ㄌㄟ3"
+ ],
+ "𤃼": [
+ "ㄗㄤ1"
+ ],
+ "𤃽": [
+ "ㄏㄨㄟ3"
+ ],
+ "𤄎": [
+ "ㄒㄧ4"
+ ],
+ "𤄏": [
+ "ㄏㄨㄥ2"
+ ],
+ "𤄑": [
+ "ㄈㄢ4"
+ ],
+ "𤄒": [
+ "ㄐㄧㄢ3"
+ ],
+ "𤄓": [
+ "ㄘㄨㄥ2"
+ ],
+ "𤄔": [
+ "ㄗㄚ2"
+ ],
+ "𤄖": [
+ "ㄘㄚ1",
+ "ㄗㄚ2"
+ ],
+ "𤄘": [
+ "ㄧㄡ1"
+ ],
+ "𤄛": [
+ "ㄉㄨㄟ4"
+ ],
+ "𤄜": [
+ "ㄆㄢ1"
+ ],
+ "𤄥": [
+ "ㄊㄚ4"
+ ],
+ "𤄧": [
+ "ㄆㄢ4"
+ ],
+ "𤄫": [
+ "ㄈㄢ1"
+ ],
+ "𤄬": [
+ "ㄒㄧ1"
+ ],
+ "𤄶": [
+ "ㄧㄠ4",
+ "ㄕㄨㄛ4"
+ ],
+ "𤄷": [
+ "ㄌㄨㄛ2"
+ ],
+ "𤄺": [
+ "ㄅㄧㄢ1"
+ ],
+ "𤄼": [
+ "ㄐㄧㄣ4"
+ ],
+ "𤄽": [
+ "ㄌㄧ4"
+ ],
+ "𤅊": [
+ "ㄧㄢ4"
+ ],
+ "𤅋": [
+ "ㄉㄡ4"
+ ],
+ "𤅎": [
+ "ㄇㄢ4"
+ ],
+ "𤅐": [
+ "ㄍㄨㄥ1"
+ ],
+ "𤅑": [
+ "ㄖㄤ3"
+ ],
+ "𤅒": [
+ "ㄘㄢ4"
+ ],
+ "𤅣": [
+ "ㄇㄣ2"
+ ],
+ "𤅱": [
+ "ㄍㄨ3"
+ ],
+ "𤅲": [
+ "ㄕㄨㄢ4"
+ ],
+ "𤅸": [
+ "ㄧㄢ2",
+ "ㄧㄢ4"
+ ],
+ "𤅹": [
+ "ㄅㄧ4"
+ ],
+ "𤆀": [
+ "ㄅㄧㄠ1"
+ ],
+ "𤆁": [
+ "ㄔㄥ2"
+ ],
+ "𤆂": [
+ "ㄎㄨㄟ4"
+ ],
+ "𤆄": [
+ "ㄏㄨㄛ3",
+ "ㄗㄞ1"
+ ],
+ "𤆍": [
+ "ㄔ4"
+ ],
+ "𤆏": [
+ "ㄨㄛ4"
+ ],
+ "𤆑": [
+ "ㄘㄡ4"
+ ],
+ "𤆒": [
+ "ㄓ4"
+ ],
+ "𤆙": [
+ "ㄕㄨㄟ3"
+ ],
+ "𤆜": [
+ "ㄍㄨㄚ4"
+ ],
+ "𤆝": [
+ "ㄆㄨ1"
+ ],
+ "𤆞": [
+ "ㄒㄩ4"
+ ],
+ "𤆟": [
+ "ㄙ1"
+ ],
+ "𤆡": [
+ "ㄨ3"
+ ],
+ "𤆮": [
+ "ㄈㄨ1"
+ ],
+ "𤆰": [
+ "ㄕ4"
+ ],
+ "𤆳": [
+ "ㄏㄨㄟ4"
+ ],
+ "𤆴": [
+ "ㄏㄨㄤ1"
+ ],
+ "𤆵": [
+ "ㄆㄚ1"
+ ],
+ "𤆼": [
+ "ㄓㄨ3"
+ ],
+ "𤆾": [
+ "ㄧ2"
+ ],
+ "𤇃": [
+ "ㄌㄧ4"
+ ],
+ "𤇄": [
+ "ㄕㄢ3"
+ ],
+ "𤇜": [
+ "ㄇㄧㄣ2"
+ ],
+ "𤇞": [
+ "ㄍㄜ1"
+ ],
+ "𤇠": [
+ "ㄏㄨ1"
+ ],
+ "𤇯": [
+ "ㄣ1",
+ "ㄠ1"
+ ],
+ "𤇰": [
+ "ㄈㄚ2"
+ ],
+ "𤇳": [
+ "ㄒㄩ4",
+ "ㄒㄩㄝ4"
+ ],
+ "𤇴": [
+ "ㄧ2",
+ "ㄒㄧ1"
+ ],
+ "𤇾": [
+ "ㄧㄥ2"
+ ],
+ "𤈔": [
+ "ㄔ2"
+ ],
+ "𤈙": [
+ "ㄧ2"
+ ],
+ "𤈥": [
+ "ㄉㄧ2"
+ ],
+ "𤈦": [
+ "ㄏㄨㄟ3",
+ "ㄇㄟ2"
+ ],
+ "𤈧": [
+ "ㄏㄜ2"
+ ],
+ "𤈩": [
+ "ㄓㄚ3"
+ ],
+ "𤈶": [
+ "ㄩㄣ2"
+ ],
+ "𤈷": [
+ "ㄒㄧㄢ1"
+ ],
+ "𤉌": [
+ "ㄒㄧㄢ2"
+ ],
+ "𤉍": [
+ "ㄌㄠ4"
+ ],
+ "𤉎": [
+ "ㄕㄠ4"
+ ],
+ "𤉏": [
+ "ㄕ4"
+ ],
+ "𤉐": [
+ "ㄓㄨㄛ2"
+ ],
+ "𤉤": [
+ "ㄅㄧㄝ1"
+ ],
+ "𤉥": [
+ "ㄐㄧㄡ3"
+ ],
+ "𤉦": [
+ "ㄨㄛ1"
+ ],
+ "𤉧": [
+ "ㄐㄧㄠ3"
+ ],
+ "𤉨": [
+ "ㄈㄨ2"
+ ],
+ "𤉪": [
+ "ㄒㄧㄤ1"
+ ],
+ "𤉫": [
+ "ㄎㄞ4"
+ ],
+ "𤊲": [
+ "ㄋㄠ3"
+ ],
+ "𤊴": [
+ "ㄏㄨㄛ4"
+ ],
+ "𤊵": [
+ "ㄐㄧ2"
+ ],
+ "𤊶": [
+ "ㄌㄚ4"
+ ],
+ "𤊻": [
+ "ㄈㄡ1"
+ ],
+ "𤊼": [
+ "ㄕㄢ3"
+ ],
+ "𤊽": [
+ "ㄌㄧㄠ4",
+ "ㄌㄧㄠ3"
+ ],
+ "𤊾": [
+ "ㄇㄧㄝ4"
+ ],
+ "𤊿": [
+ "ㄔㄜ4"
+ ],
+ "𤋂": [
+ "ㄇㄛ2"
+ ],
+ "𤋏": [
+ "ㄌㄡ2"
+ ],
+ "𤋨": [
+ "ㄉㄨㄛ4"
+ ],
+ "𤋫": [
+ "ㄋㄠ3"
+ ],
+ "𤋭": [
+ "ㄐㄧ1"
+ ],
+ "𤋰": [
+ "ㄓㄨ4"
+ ],
+ "𤌂": [
+ "ㄙㄨ4"
+ ],
+ "𤌃": [
+ "ㄉㄨㄛ4"
+ ],
+ "𤌇": [
+ "ㄐㄩㄥ3"
+ ],
+ "𤌊": [
+ "ㄗㄞ3"
+ ],
+ "𤌋": [
+ "ㄏㄨㄟ3"
+ ],
+ "𤌌": [
+ "ㄧㄥ3"
+ ],
+ "𤌍": [
+ "ㄏㄨ2"
+ ],
+ "𤌎": [
+ "ㄌㄧㄣ4",
+ "ㄌㄧㄣ3"
+ ],
+ "𤌏": [
+ "ㄨㄥ3"
+ ],
+ "𤌐": [
+ "ㄏㄢ4"
+ ],
+ "𤌔": [
+ "ㄋㄢ2"
+ ],
+ "𤌷": [
+ "ㄒㄧ4"
+ ],
+ "𤌹": [
+ "ㄍㄢ4"
+ ],
+ "𤌾": [
+ "ㄏㄜ4"
+ ],
+ "𤌿": [
+ "ㄐㄧ1"
+ ],
+ "𤍀": [
+ "ㄒㄧㄤ3"
+ ],
+ "𤍁": [
+ "ㄕㄚ1"
+ ],
+ "𤍐": [
+ "ㄊㄨㄟ4"
+ ],
+ "𤍒": [
+ "ㄓㄠ1"
+ ],
+ "𤍓": [
+ "ㄕㄨ4"
+ ],
+ "𤍕": [
+ "ㄧㄡ3"
+ ],
+ "𤍖": [
+ "ㄐㄧㄢ1"
+ ],
+ "𤍜": [
+ "ㄗㄠ4"
+ ],
+ "𤍠": [
+ "ㄖㄜ4"
+ ],
+ "𤍤": [
+ "ㄓㄤ1"
+ ],
+ "𤍽": [
+ "ㄖㄨㄛ4"
+ ],
+ "𤎄": [
+ "ㄧㄢ1"
+ ],
+ "𤎋": [
+ "ㄘㄨㄟ4"
+ ],
+ "𤎗": [
+ "ㄐㄧ2"
+ ],
+ "𤎘": [
+ "ㄕㄤ1"
+ ],
+ "𤎣": [
+ "ㄜ4"
+ ],
+ "𤎤": [
+ "ㄌㄠ2"
+ ],
+ "𤎥": [
+ "ㄊㄢ3",
+ "ㄔㄢ1"
+ ],
+ "𤎧": [
+ "ㄓㄨ4"
+ ],
+ "𤎭": [
+ "ㄌㄧㄣ3",
+ "ㄧㄣ3"
+ ],
+ "𤎯": [
+ "ㄗㄥ1"
+ ],
+ "𤎱": [
+ "ㄐㄩㄢ3"
+ ],
+ "𤎲": [
+ "ㄏㄨ1"
+ ],
+ "𤏗": [
+ "ㄕㄣ3"
+ ],
+ "𤏘": [
+ "ㄏㄨㄛ4"
+ ],
+ "𤏜": [
+ "ㄎㄨㄟ4"
+ ],
+ "𤏱": [
+ "ㄔㄨ4"
+ ],
+ "𤏲": [
+ "ㄓㄡ4"
+ ],
+ "𤏶": [
+ "ㄠ1"
+ ],
+ "𤏸": [
+ "ㄓㄨㄛ2"
+ ],
+ "𤏽": [
+ "ㄒㄧㄥ1"
+ ],
+ "𤏿": [
+ "ㄇㄧㄝ4"
+ ],
+ "𤐀": [
+ "ㄏㄨ1"
+ ],
+ "𤐔": [
+ "ㄊㄢ2"
+ ],
+ "𤐙": [
+ "ㄅㄧ4"
+ ],
+ "𤐣": [
+ "ㄉㄧㄥ3"
+ ],
+ "𤐩": [
+ "ㄎㄞ4"
+ ],
+ "𤐫": [
+ "ㄅㄧㄠ1"
+ ],
+ "𤐰": [
+ "ㄏㄨㄛ4"
+ ],
+ "𤐱": [
+ "ㄌㄧㄝ4"
+ ],
+ "𤐲": [
+ "ㄘㄨㄢ4"
+ ],
+ "𤑃": [
+ "ㄒㄧㄢ4"
+ ],
+ "𤑄": [
+ "ㄖㄜ4"
+ ],
+ "𤑓": [
+ "ㄩㄝ4"
+ ],
+ "𤑕": [
+ "ㄒㄩㄣ1"
+ ],
+ "𤑗": [
+ "ㄌㄧㄠ3",
+ "ㄓㄠ1"
+ ],
+ "𤑣": [
+ "ㄕㄚ1"
+ ],
+ "𤑦": [
+ "ㄕ4"
+ ],
+ "𤑪": [
+ "ㄒㄧㄝ4"
+ ],
+ "𤑳": [
+ "ㄒㄧㄠ1"
+ ],
+ "𤑷": [
+ "ㄧㄝ2"
+ ],
+ "𤑸": [
+ "ㄌㄢ3"
+ ],
+ "𤑹": [
+ "ㄧ4"
+ ],
+ "𤑿": [
+ "ㄌㄧㄢ3"
+ ],
+ "𤒔": [
+ "ㄅㄛ2"
+ ],
+ "𤒕": [
+ "ㄘㄠ1"
+ ],
+ "𤒝": [
+ "ㄧㄠ4"
+ ],
+ "𤒦": [
+ "ㄌㄧㄢ4",
+ "ㄧㄢ4"
+ ],
+ "𤒻": [
+ "ㄊㄚ4"
+ ],
+ "𤓑": [
+ "ㄐㄧ4"
+ ],
+ "𤓔": [
+ "ㄒㄧ1"
+ ],
+ "𤓕": [
+ "ㄓ4"
+ ],
+ "𤓚": [
+ "ㄒㄧ1"
+ ],
+ "𤓝": [
+ "ㄩㄝ4"
+ ],
+ "𤓤": [
+ "ㄒㄧㄢ3"
+ ],
+ "𤓦": [
+ "ㄓㄨㄛ4"
+ ],
+ "𤓯": [
+ "ㄓㄤ3",
+ "ㄐㄩ2"
+ ],
+ "𤓵": [
+ "ㄗㄨ3"
+ ],
+ "𤓷": [
+ "ㄋㄚ2"
+ ],
+ "𤓾": [
+ "ㄉㄠ4"
+ ],
+ "𤓿": [
+ "ㄌㄧㄝ4"
+ ],
+ "𤔀": [
+ "ㄋㄚ2"
+ ],
+ "𤔉": [
+ "ㄆㄠ2"
+ ],
+ "𤔋": [
+ "ㄐㄩ4"
+ ],
+ "𤔔": [
+ "ㄌㄨㄢ4"
+ ],
+ "𤔖": [
+ "ㄌㄨㄛ3"
+ ],
+ "𤔙": [
+ "ㄕㄨㄚ3"
+ ],
+ "𤔚": [
+ "ㄕㄤ4"
+ ],
+ "𤔝": [
+ "ㄌㄨㄛ3"
+ ],
+ "𤔟": [
+ "ㄈㄣ1"
+ ],
+ "𤔣": [
+ "ㄅㄠ4"
+ ],
+ "𤔨": [
+ "ㄌㄧ4"
+ ],
+ "𤔫": [
+ "ㄒㄩㄥ4"
+ ],
+ "𤔶": [
+ "ㄉㄤ1"
+ ],
+ "𤕀": [
+ "ㄔㄥ4"
+ ],
+ "𤕄": [
+ "ㄓㄤ3"
+ ],
+ "𤕇": [
+ "ㄙㄡ3"
+ ],
+ "𤕊": [
+ "ㄕㄣ2"
+ ],
+ "𤕒": [
+ "ㄍㄜ3"
+ ],
+ "𤕘": [
+ "ㄩ1",
+ "ㄨ4"
+ ],
+ "𤕚": [
+ "ㄏㄨㄟ1"
+ ],
+ "𤕛": [
+ "ㄔㄜ4"
+ ],
+ "𤕝": [
+ "ㄐㄧㄠ4",
+ "ㄅㄛ2"
+ ],
+ "𤕞": [
+ "ㄓㄨ4"
+ ],
+ "𤕟": [
+ "ㄕㄨ1"
+ ],
+ "𤕢": [
+ "ㄒㄧㄠ2"
+ ],
+ "𤕦": [
+ "ㄋㄧㄥ2"
+ ],
+ "𤕭": [
+ "ㄐㄧㄤ1"
+ ],
+ "𤕯": [
+ "ㄐㄧㄤ1",
+ "ㄓㄨㄤ4"
+ ],
+ "𤕷": [
+ "ㄉㄧㄠ4"
+ ],
+ "𤕽": [
+ "ㄑㄧㄤ2"
+ ],
+ "𤕾": [
+ "ㄑㄧㄡ2",
+ "ㄈㄨ3"
+ ],
+ "𤖀": [
+ "ㄈㄥ1"
+ ],
+ "𤖆": [
+ "ㄓㄢ4"
+ ],
+ "𤖇": [
+ "ㄎㄜ1"
+ ],
+ "𤖒": [
+ "ㄉㄧㄝ2"
+ ],
+ "𤖓": [
+ "ㄗㄜ2"
+ ],
+ "𤖖": [
+ "ㄍㄨㄤ1"
+ ],
+ "𤖗": [
+ "ㄙㄜ4"
+ ],
+ "𤖘": [
+ "ㄈㄣ4",
+ "ㄈㄣ2"
+ ],
+ "𤖛": [
+ "ㄐㄧㄤ3"
+ ],
+ "𤖝": [
+ "ㄧㄢ2"
+ ],
+ "𤖞": [
+ "ㄓ4"
+ ],
+ "𤖢": [
+ "ㄌㄧ4"
+ ],
+ "𤖦": [
+ "ㄌㄧㄥ2"
+ ],
+ "𤖪": [
+ "ㄧ2"
+ ],
+ "𤖬": [
+ "ㄑㄩ3"
+ ],
+ "𤖭": [
+ "ㄆㄢ2"
+ ],
+ "𤖮": [
+ "ㄍㄡ1"
+ ],
+ "𤖰": [
+ "ㄐㄧㄚ3"
+ ],
+ "𤖱": [
+ "ㄏㄜ2"
+ ],
+ "𤖳": [
+ "ㄆㄥ4"
+ ],
+ "𤖵": [
+ "ㄐㄩ4"
+ ],
+ "𤖷": [
+ "ㄔㄜ4"
+ ],
+ "𤖺": [
+ "ㄌㄧㄝ4"
+ ],
+ "𤖻": [
+ "ㄕ4"
+ ],
+ "𤖼": [
+ "ㄆㄛ4"
+ ],
+ "𤖽": [
+ "ㄒㄧㄤ4"
+ ],
+ "𤖿": [
+ "ㄆㄧ4"
+ ],
+ "𤗀": [
+ "ㄌㄨㄛ3"
+ ],
+ "𤗁": [
+ "ㄘㄨ4"
+ ],
+ "𤗃": [
+ "ㄩ3"
+ ],
+ "𤗇": [
+ "ㄎㄨㄥ4"
+ ],
+ "𤗈": [
+ "ㄒㄧㄝ4"
+ ],
+ "𤗍": [
+ "ㄨㄢ3"
+ ],
+ "𤗎": [
+ "ㄧㄢ3"
+ ],
+ "𤗏": [
+ "ㄆㄟ2"
+ ],
+ "𤗓": [
+ "ㄔㄥ2"
+ ],
+ "𤗘": [
+ "ㄊㄧ2"
+ ],
+ "𤗙": [
+ "ㄔㄜ4",
+ "ㄊㄨㄛ4"
+ ],
+ "𤗚": [
+ "ㄅㄧ4"
+ ],
+ "𤗛": [
+ "ㄌㄧㄢ4"
+ ],
+ "𤗜": [
+ "ㄐㄧㄚ3"
+ ],
+ "𤗞": [
+ "ㄊㄧㄥ2"
+ ],
+ "𤗢": [
+ "ㄊㄧ1"
+ ],
+ "𤗨": [
+ "ㄉㄧㄝ2"
+ ],
+ "𤗪": [
+ "ㄕㄨ4"
+ ],
+ "𤗫": [
+ "ㄌㄧ2"
+ ],
+ "𤗬": [
+ "ㄌㄩ2"
+ ],
+ "𤗭": [
+ "ㄒㄧㄚ4",
+ "ㄒㄧㄚ1"
+ ],
+ "𤗯": [
+ "ㄘㄨㄟ1"
+ ],
+ "𤗳": [
+ "ㄅㄛ1"
+ ],
+ "𤗴": [
+ "ㄊㄨㄟ2"
+ ],
+ "𤗵": [
+ "ㄆㄨ2"
+ ],
+ "𤗷": [
+ "ㄌㄧㄣ4"
+ ],
+ "𤗸": [
+ "ㄈㄣ4",
+ "ㄈㄣ2"
+ ],
+ "𤗺": [
+ "ㄅㄛ2"
+ ],
+ "𤗻": [
+ "ㄔㄢ4"
+ ],
+ "𤗾": [
+ "ㄉㄤ1"
+ ],
+ "𤗿": [
+ "ㄊㄞ3"
+ ],
+ "𤘀": [
+ "ㄉㄠ4"
+ ],
+ "𤘃": [
+ "ㄌㄧ4"
+ ],
+ "𤘅": [
+ "ㄧㄚ2"
+ ],
+ "𤘆": [
+ "ㄧㄚ2"
+ ],
+ "𤘇": [
+ "ㄓㄢ1"
+ ],
+ "𤘊": [
+ "ㄧ2"
+ ],
+ "𤘌": [
+ "ㄑㄧ1"
+ ],
+ "𤘔": [
+ "ㄏㄨ4"
+ ],
+ "𤘖": [
+ "ㄊㄧㄥ1"
+ ],
+ "𤘘": [
+ "ㄎㄡ3"
+ ],
+ "𤘛": [
+ "ㄔㄨㄣ2"
+ ],
+ "𤘜": [
+ "ㄧㄡ2"
+ ],
+ "𤘝": [
+ "ㄈㄣ4"
+ ],
+ "𤘟": [
+ "ㄋㄨㄛ2"
+ ],
+ "𤘠": [
+ "ㄊㄧㄢ4"
+ ],
+ "𤘡": [
+ "ㄐㄧㄣ4"
+ ],
+ "𤘢": [
+ "ㄆㄧ2"
+ ],
+ "𤘣": [
+ "ㄔㄣ2"
+ ],
+ "𤘤": [
+ "ㄆㄧ4"
+ ],
+ "𤘦": [
+ "ㄐㄧㄝ4"
+ ],
+ "𤘧": [
+ "ㄍㄨㄟ3"
+ ],
+ "𤘲": [
+ "ㄓㄨㄤ4"
+ ],
+ "𤘵": [
+ "ㄏㄨ2"
+ ],
+ "𤘶": [
+ "ㄔㄡ3"
+ ],
+ "𤘷": [
+ "ㄕㄨ4"
+ ],
+ "𤘸": [
+ "ㄊㄠ1"
+ ],
+ "𤘹": [
+ "ㄆㄧ2"
+ ],
+ "𤘺": [
+ "ㄖㄨㄥ3"
+ ],
+ "𤘻": [
+ "ㄖㄨㄥ3"
+ ],
+ "𤘽": [
+ "ㄏㄡ3"
+ ],
+ "𤘾": [
+ "ㄆㄥ1"
+ ],
+ "𤙅": [
+ "ㄅㄞ4"
+ ],
+ "𤙇": [
+ "ㄒㄧㄚ2"
+ ],
+ "𤙋": [
+ "ㄑㄧㄣ3"
+ ],
+ "𤙌": [
+ "ㄋㄧ3"
+ ],
+ "𤙎": [
+ "ㄊㄠ1"
+ ],
+ "𤙏": [
+ "ㄑㄩ4"
+ ],
+ "𤙒": [
+ "ㄒㄧㄝ2"
+ ],
+ "𤙔": [
+ "ㄓㄠ4"
+ ],
+ "𤙕": [
+ "ㄏㄨㄚ1"
+ ],
+ "𤙖": [
+ "ㄒㄧㄣ1"
+ ],
+ "𤙘": [
+ "ㄕㄡ1"
+ ],
+ "𤙛": [
+ "ㄊㄨ2"
+ ],
+ "𤙝": [
+ "ㄌㄧㄤ2"
+ ],
+ "𤙞": [
+ "ㄅㄧ4"
+ ],
+ "𤙟": [
+ "ㄔㄨ1"
+ ],
+ "𤙡": [
+ "ㄒㄧㄥ1"
+ ],
+ "𤙣": [
+ "ㄒㄧㄣ1"
+ ],
+ "𤙤": [
+ "ㄈㄨ1"
+ ],
+ "𤙩": [
+ "ㄐㄧㄝ4"
+ ],
+ "𤙭": [
+ "ㄈㄨ3"
+ ],
+ "𤙰": [
+ "ㄊㄜ4"
+ ],
+ "𤙱": [
+ "ㄕㄜ4"
+ ],
+ "𤙴": [
+ "ㄔㄠ1"
+ ],
+ "𤙵": [
+ "ㄔㄨㄟ1"
+ ],
+ "𤙼": [
+ "ㄖㄢ2"
+ ],
+ "𤙽": [
+ "ㄏㄡ3"
+ ],
+ "𤙾": [
+ "ㄅㄥ1"
+ ],
+ "𤚀": [
+ "ㄘㄞ3"
+ ],
+ "𤚅": [
+ "ㄇㄨ2"
+ ],
+ "𤚉": [
+ "ㄒㄩ1"
+ ],
+ "𤚊": [
+ "ㄉㄧㄝ2"
+ ],
+ "𤚍": [
+ "ㄔㄢ3"
+ ],
+ "𤚎": [
+ "ㄩ2"
+ ],
+ "𤚏": [
+ "ㄓㄨㄥ4"
+ ],
+ "𤚓": [
+ "ㄌㄧ2"
+ ],
+ "𤚔": [
+ "ㄕㄡ1"
+ ],
+ "𤚚": [
+ "ㄉㄨ2"
+ ],
+ "𤚜": [
+ "ㄇㄠ1"
+ ],
+ "𤚝": [
+ "ㄏㄨㄤ2"
+ ],
+ "𤚟": [
+ "ㄊㄠ2"
+ ],
+ "𤚡": [
+ "ㄉㄨ4"
+ ],
+ "𤚢": [
+ "ㄊㄧ2"
+ ],
+ "𤚣": [
+ "ㄕㄥ1"
+ ],
+ "𤚤": [
+ "ㄇㄟ2"
+ ],
+ "𤚨": [
+ "ㄓㄣ1"
+ ],
+ "𤚩": [
+ "ㄑㄧㄣ2"
+ ],
+ "𤚪": [
+ "ㄆㄧ4"
+ ],
+ "𤚫": [
+ "ㄊㄤ2"
+ ],
+ "𤚬": [
+ "ㄘㄤ1"
+ ],
+ "𤚭": [
+ "ㄧㄠ2"
+ ],
+ "𤚯": [
+ "ㄒㄧㄡ4"
+ ],
+ "𤚰": [
+ "ㄅㄤ1"
+ ],
+ "𤚱": [
+ "ㄍㄨ3"
+ ],
+ "𤚵": [
+ "ㄅㄨ4"
+ ],
+ "𤚼": [
+ "ㄍㄡ4"
+ ],
+ "𤚽": [
+ "ㄅㄛ2"
+ ],
+ "𤛁": [
+ "ㄨㄣ4"
+ ],
+ "𤛄": [
+ "ㄐㄧ4"
+ ],
+ "𤛊": [
+ "ㄌㄚ1"
+ ],
+ "𤛍": [
+ "ㄘㄨㄟ1"
+ ],
+ "𤛎": [
+ "ㄇㄧㄣ3"
+ ],
+ "𤛏": [
+ "ㄘㄨ3"
+ ],
+ "𤛐": [
+ "ㄡ1"
+ ],
+ "𤛑": [
+ "ㄩㄥ1"
+ ],
+ "𤛖": [
+ "ㄇㄠ2"
+ ],
+ "𤛗": [
+ "ㄎㄜ4"
+ ],
+ "𤛘": [
+ "ㄇㄤ1"
+ ],
+ "𤛙": [
+ "ㄉㄧㄥ3"
+ ],
+ "𤛚": [
+ "ㄏㄨㄢ1"
+ ],
+ "𤛛": [
+ "ㄉㄨㄛ3"
+ ],
+ "𤛜": [
+ "ㄐㄧㄤ1"
+ ],
+ "𤛝": [
+ "ㄙㄨ4"
+ ],
+ "𤛢": [
+ "ㄘㄥ2"
+ ],
+ "𤛣": [
+ "ㄊㄚ4"
+ ],
+ "𤛥": [
+ "ㄏㄨㄤ2"
+ ],
+ "𤛦": [
+ "ㄐㄩㄝ2"
+ ],
+ "𤛧": [
+ "ㄒㄩㄣ2"
+ ],
+ "𤛪": [
+ "ㄒㄩㄥ4"
+ ],
+ "𤛬": [
+ "ㄇㄧ4"
+ ],
+ "𤛭": [
+ "ㄑㄩㄣ2"
+ ],
+ "𤛮": [
+ "ㄌㄠ2"
+ ],
+ "𤛱": [
+ "ㄓ4"
+ ],
+ "𤛲": [
+ "ㄨㄟ3",
+ "ㄨㄟ2"
+ ],
+ "𤛷": [
+ "ㄙㄜ4"
+ ],
+ "𤛻": [
+ "ㄗㄤ1"
+ ],
+ "𤜁": [
+ "ㄢ3"
+ ],
+ "𤜂": [
+ "ㄨㄟ4",
+ "ㄍㄨㄟ4"
+ ],
+ "𤜄": [
+ "ㄏㄨㄞ2",
+ "ㄏㄨㄞ4"
+ ],
+ "𤜇": [
+ "ㄓㄢ4"
+ ],
+ "𤜉": [
+ "ㄧㄥ1"
+ ],
+ "𤜊": [
+ "ㄍㄜ1"
+ ],
+ "𤜋": [
+ "ㄏㄨㄟ4"
+ ],
+ "𤜍": [
+ "ㄑㄩㄢ2"
+ ],
+ "𤜓": [
+ "ㄌㄧㄝ4"
+ ],
+ "𤜔": [
+ "ㄐㄩ2"
+ ],
+ "𤜕": [
+ "ㄅㄚ4"
+ ],
+ "𤜖": [
+ "ㄌㄟ2"
+ ],
+ "𤜘": [
+ "ㄇㄢ2"
+ ],
+ "𤜙": [
+ "ㄌㄧㄥ2"
+ ],
+ "𤜜": [
+ "ㄌㄧ4"
+ ],
+ "𤜝": [
+ "ㄐㄧ3"
+ ],
+ "𤜡": [
+ "ㄏㄨㄟ2"
+ ],
+ "𤜢": [
+ "ㄒㄧㄣ4"
+ ],
+ "𤜣": [
+ "ㄕ4",
+ "ㄕㄜ2"
+ ],
+ "𤜤": [
+ "ㄓㄜ2"
+ ],
+ "𤜧": [
+ "ㄅㄛ1"
+ ],
+ "𤜫": [
+ "ㄔㄚ1"
+ ],
+ "𤜯": [
+ "ㄔㄚ1"
+ ],
+ "𤜰": [
+ "ㄐㄧㄥ1"
+ ],
+ "𤜱": [
+ "ㄅㄚ1"
+ ],
+ "𤜲": [
+ "ㄅㄟ4",
+ "ㄆㄟ4"
+ ],
+ "𤜵": [
+ "ㄧㄢ4"
+ ],
+ "𤜷": [
+ "ㄏㄨ4"
+ ],
+ "𤜹": [
+ "ㄩ2"
+ ],
+ "𤜻": [
+ "ㄅㄧ4",
+ "ㄆㄧ2"
+ ],
+ "𤜼": [
+ "ㄔㄨㄢ2"
+ ],
+ "𤜾": [
+ "ㄐㄧ3"
+ ],
+ "𤝂": [
+ "ㄇㄨ4"
+ ],
+ "𤝄": [
+ "ㄇㄠ2"
+ ],
+ "𤝅": [
+ "ㄓㄨㄥ1"
+ ],
+ "𤝇": [
+ "ㄧㄝ4"
+ ],
+ "𤝈": [
+ "ㄉㄡ1"
+ ],
+ "𤝉": [
+ "ㄧㄝ3"
+ ],
+ "𤝍": [
+ "ㄖ4"
+ ],
+ "𤝎": [
+ "ㄧㄣ1"
+ ],
+ "𤝐": [
+ "ㄏㄠ4"
+ ],
+ "𤝒": [
+ "ㄋㄚ4"
+ ],
+ "𤝓": [
+ "ㄊㄧㄝ4"
+ ],
+ "𤝔": [
+ "ㄈㄨ4",
+ "ㄔㄞ2"
+ ],
+ "𤝕": [
+ "ㄇㄨ3"
+ ],
+ "𤝖": [
+ "ㄗㄞ3"
+ ],
+ "𤝘": [
+ "ㄏㄨ2"
+ ],
+ "𤝚": [
+ "ㄔㄣ1"
+ ],
+ "𤝛": [
+ "ㄊㄨㄛ2"
+ ],
+ "𤝞": [
+ "ㄔㄨ4"
+ ],
+ "𤝟": [
+ "ㄈㄨ2",
+ "ㄈㄟ4"
+ ],
+ "𤝧": [
+ "ㄅㄠ4"
+ ],
+ "𤝬": [
+ "ㄉㄧ3"
+ ],
+ "𤝭": [
+ "ㄘㄞ3"
+ ],
+ "𤝮": [
+ "ㄌㄨ4"
+ ],
+ "𤝯": [
+ "ㄆㄛ3"
+ ],
+ "𤝰": [
+ "ㄉㄚ2"
+ ],
+ "𤝱": [
+ "ㄧㄝ4"
+ ],
+ "𤝳": [
+ "ㄧ3"
+ ],
+ "𤝷": [
+ "ㄒㄧㄤ2"
+ ],
+ "𤝸": [
+ "ㄅㄧ1"
+ ],
+ "𤝹": [
+ "ㄓㄨ1"
+ ],
+ "𤝻": [
+ "ㄧ2"
+ ],
+ "𤝽": [
+ "ㄌㄩ4"
+ ],
+ "𤝿": [
+ "ㄎㄨㄤ1"
+ ],
+ "𤞂": [
+ "ㄓ4"
+ ],
+ "𤞇": [
+ "ㄨㄚ2",
+ "ㄎㄨㄤ2"
+ ],
+ "𤞈": [
+ "ㄉㄧ1"
+ ],
+ "𤞉": [
+ "ㄕㄨ4"
+ ],
+ "𤞊": [
+ "ㄌㄧㄝ4"
+ ],
+ "𤞋": [
+ "ㄗㄠ3"
+ ],
+ "𤞌": [
+ "ㄓ4"
+ ],
+ "𤞍": [
+ "ㄋㄠ2"
+ ],
+ "𤞗": [
+ "ㄔㄞ2"
+ ],
+ "𤞚": [
+ "ㄒㄧㄠ1"
+ ],
+ "𤞛": [
+ "ㄗㄤ4"
+ ],
+ "𤞞": [
+ "ㄩ4"
+ ],
+ "𤞟": [
+ "ㄉㄡ4"
+ ],
+ "𤞠": [
+ "ㄔㄚ4"
+ ],
+ "𤞡": [
+ "ㄒㄧㄝ2"
+ ],
+ "𤞢": [
+ "ㄧㄤ2"
+ ],
+ "𤞤": [
+ "ㄒㄧㄢ3"
+ ],
+ "𤞥": [
+ "ㄅㄠ3"
+ ],
+ "𤞮": [
+ "ㄓㄞ4",
+ "ㄓㄞ1"
+ ],
+ "𤞰": [
+ "ㄑㄧㄡ2"
+ ],
+ "𤞲": [
+ "ㄏㄨ2"
+ ],
+ "𤞳": [
+ "ㄗㄞ4"
+ ],
+ "𤞴": [
+ "ㄐㄩㄝ2"
+ ],
+ "𤞶": [
+ "ㄏㄢ1",
+ "ㄏㄢ4"
+ ],
+ "𤞿": [
+ "ㄢ4"
+ ],
+ "𤟀": [
+ "ㄗㄠ4"
+ ],
+ "𤟃": [
+ "ㄕㄚ4"
+ ],
+ "𤟅": [
+ "ㄒㄧㄢ4"
+ ],
+ "𤟆": [
+ "ㄔ3"
+ ],
+ "𤟇": [
+ "ㄧㄢ3"
+ ],
+ "𤟉": [
+ "ㄢ4"
+ ],
+ "𤟍": [
+ "ㄓㄜ2"
+ ],
+ "𤟎": [
+ "ㄐㄩㄝ2"
+ ],
+ "𤟑": [
+ "ㄌㄧ4"
+ ],
+ "𤟓": [
+ "ㄌㄜ4"
+ ],
+ "𤟖": [
+ "ㄘㄞ3"
+ ],
+ "𤟘": [
+ "ㄌㄨ4"
+ ],
+ "𤟚": [
+ "ㄐㄧㄚ1"
+ ],
+ "𤟝": [
+ "ㄒㄧㄚ4"
+ ],
+ "𤟞": [
+ "ㄒㄧㄠ4"
+ ],
+ "𤟟": [
+ "ㄧㄢ1"
+ ],
+ "𤟠": [
+ "ㄒㄩ1"
+ ],
+ "𤟢": [
+ "ㄉㄨㄣ4"
+ ],
+ "𤟣": [
+ "ㄧㄥ2"
+ ],
+ "𤟤": [
+ "ㄏㄨㄟ1",
+ "ㄒㄩㄣ1"
+ ],
+ "𤟥": [
+ "ㄊㄧ2"
+ ],
+ "𤟦": [
+ "ㄋㄡ2"
+ ],
+ "𤟧": [
+ "ㄒㄧ3"
+ ],
+ "𤟪": [
+ "ㄊㄨ2"
+ ],
+ "𤟷": [
+ "ㄨㄞ1"
+ ],
+ "𤟸": [
+ "ㄔㄣ1"
+ ],
+ "𤟼": [
+ "ㄏㄨㄥ1"
+ ],
+ "𤟾": [
+ "ㄊㄧ2"
+ ],
+ "𤟿": [
+ "ㄒㄩㄢ1"
+ ],
+ "𤠀": [
+ "ㄗㄚ2"
+ ],
+ "𤠇": [
+ "ㄍㄜ2"
+ ],
+ "𤠋": [
+ "ㄌㄡ2"
+ ],
+ "𤠌": [
+ "ㄔㄞ2"
+ ],
+ "𤠍": [
+ "ㄆㄢ2"
+ ],
+ "𤠎": [
+ "ㄐㄧ2"
+ ],
+ "𤠐": [
+ "ㄊㄚ4"
+ ],
+ "𤠓": [
+ "ㄒㄧ1"
+ ],
+ "𤠖": [
+ "ㄒㄧㄠ1"
+ ],
+ "𤠘": [
+ "ㄙㄠ1"
+ ],
+ "𤠙": [
+ "ㄐㄧㄚ1"
+ ],
+ "𤠚": [
+ "ㄙㄨ4"
+ ],
+ "𤠛": [
+ "ㄏㄨㄤ1"
+ ],
+ "𤠝": [
+ "ㄘㄨㄛ1"
+ ],
+ "𤠟": [
+ "ㄊㄚ4"
+ ],
+ "𤠠": [
+ "ㄕㄨㄞ1"
+ ],
+ "𤠪": [
+ "ㄈㄨ2"
+ ],
+ "𤠫": [
+ "ㄌㄧ4"
+ ],
+ "𤠭": [
+ "ㄕㄜ4"
+ ],
+ "𤠯": [
+ "ㄊㄤ2"
+ ],
+ "𤠶": [
+ "ㄉㄧㄢ1"
+ ],
+ "𤠺": [
+ "ㄅㄧ4"
+ ],
+ "𤠼": [
+ "ㄍㄡ4"
+ ],
+ "𤠽": [
+ "ㄘㄨ4"
+ ],
+ "𤠿": [
+ "ㄑㄧㄢ1"
+ ],
+ "𤡂": [
+ "ㄌㄟ2",
+ "ㄌㄟ3"
+ ],
+ "𤡃": [
+ "ㄙㄨ4"
+ ],
+ "𤡆": [
+ "ㄗㄨㄥ4",
+ "ㄗㄨㄥ1"
+ ],
+ "𤡇": [
+ "ㄏㄠ1"
+ ],
+ "𤡏": [
+ "ㄔ4"
+ ],
+ "𤡐": [
+ "ㄘㄠ2"
+ ],
+ "𤡓": [
+ "ㄨㄛ4"
+ ],
+ "𤡔": [
+ "ㄒㄧㄠ1"
+ ],
+ "𤡕": [
+ "ㄌㄧㄝ4",
+ "ㄨㄣ3"
+ ],
+ "𤡖": [
+ "ㄧㄢ2",
+ "ㄧㄢ1"
+ ],
+ "𤡝": [
+ "ㄅㄧ4"
+ ],
+ "𤡟": [
+ "ㄏㄨㄢ4"
+ ],
+ "𤡡": [
+ "ㄒㄧ1"
+ ],
+ "𤡢": [
+ "ㄔ1"
+ ],
+ "𤡣": [
+ "ㄒㄩ1"
+ ],
+ "𤡤": [
+ "ㄋㄠ2",
+ "ㄋㄚ4",
+ "ㄖㄨ2"
+ ],
+ "𤡥": [
+ "ㄧㄢ2",
+ "ㄒㄧㄢ4"
+ ],
+ "𤡧": [
+ "ㄒㄧㄝ4"
+ ],
+ "𤡨": [
+ "ㄓㄚ2"
+ ],
+ "𤡪": [
+ "ㄙㄨㄟ4",
+ "ㄨㄟ3"
+ ],
+ "𤡬": [
+ "ㄒㄧ4"
+ ],
+ "𤡭": [
+ "ㄅㄥ1",
+ "ㄆㄥ2"
+ ],
+ "𤡮": [
+ "ㄖㄢ2"
+ ],
+ "𤡯": [
+ "ㄕㄨㄛ4",
+ "ㄒㄧ1",
+ "ㄑㄩㄝ4"
+ ],
+ "𤡰": [
+ "ㄅㄢ1"
+ ],
+ "𤡱": [
+ "ㄍㄨㄟ4"
+ ],
+ "𤡲": [
+ "ㄎㄞ1"
+ ],
+ "𤡳": [
+ "ㄔㄣ1"
+ ],
+ "𤡶": [
+ "ㄒㄩ4"
+ ],
+ "𤡾": [
+ "ㄜ4"
+ ],
+ "𤡿": [
+ "ㄌㄧ4"
+ ],
+ "𤢀": [
+ "ㄒㄧ1"
+ ],
+ "𤢁": [
+ "ㄏㄨㄢ4"
+ ],
+ "𤢂": [
+ "ㄙㄨ4"
+ ],
+ "𤢄": [
+ "ㄔㄤ3"
+ ],
+ "𤢊": [
+ "ㄌㄨ4"
+ ],
+ "𤢋": [
+ "ㄧㄢ2"
+ ],
+ "𤢎": [
+ "ㄉㄤ1"
+ ],
+ "𤢏": [
+ "ㄉㄢ3"
+ ],
+ "𤢐": [
+ "ㄧㄤ1"
+ ],
+ "𤢒": [
+ "ㄓㄞ3"
+ ],
+ "𤢓": [
+ "ㄐㄩ4",
+ "ㄑㄩ2"
+ ],
+ "𤢕": [
+ "ㄉㄨㄛ2"
+ ],
+ "𤢖": [
+ "ㄙㄠ1",
+ "ㄕㄢ1"
+ ],
+ "𤢗": [
+ "ㄌㄞ2"
+ ],
+ "𤢘": [
+ "ㄙㄨ4"
+ ],
+ "𤢟": [
+ "ㄗㄜ2"
+ ],
+ "𤢣": [
+ "ㄅㄧ4"
+ ],
+ "𤢦": [
+ "ㄧㄣ4"
+ ],
+ "𤢨": [
+ "ㄏㄠ1"
+ ],
+ "𤢪": [
+ "ㄌㄧㄝ4"
+ ],
+ "𤢭": [
+ "ㄏㄠ2"
+ ],
+ "𤢮": [
+ "ㄧㄤ2"
+ ],
+ "𤢴": [
+ "ㄕㄨㄛ4",
+ "ㄌㄧ4"
+ ],
+ "𤢵": [
+ "ㄌㄞ4",
+ "ㄞ4"
+ ],
+ "𤢶": [
+ "ㄑㄩㄥ2"
+ ],
+ "𤢹": [
+ "ㄌㄟ3"
+ ],
+ "𤢺": [
+ "ㄒㄧㄝ2"
+ ],
+ "𤢼": [
+ "ㄕ4"
+ ],
+ "𤣃": [
+ "ㄌㄨ3"
+ ],
+ "𤣅": [
+ "ㄑㄩㄝ4"
+ ],
+ "𤣆": [
+ "ㄌㄧㄢ2"
+ ],
+ "𤣌": [
+ "ㄒㄧㄠ4"
+ ],
+ "𤣎": [
+ "ㄧㄥ1"
+ ],
+ "𤣑": [
+ "ㄒㄧㄝ2"
+ ],
+ "𤣘": [
+ "ㄌㄧㄥ2"
+ ],
+ "𤣙": [
+ "ㄧㄡ1"
+ ],
+ "𤣞": [
+ "ㄉㄤ3"
+ ],
+ "𤣟": [
+ "ㄌㄢ3"
+ ],
+ "𤣠": [
+ "ㄒㄧㄠ1"
+ ],
+ "𤣨": [
+ "ㄧ4"
+ ],
+ "𤣬": [
+ "ㄨ1"
+ ],
+ "𤣮": [
+ "ㄧ4"
+ ],
+ "𤣯": [
+ "ㄊㄨㄛ1"
+ ],
+ "𤣰": [
+ "ㄅㄨ3"
+ ],
+ "𤣲": [
+ "ㄒㄧㄣ4"
+ ],
+ "𤣵": [
+ "ㄙ1"
+ ],
+ "𤣶": [
+ "ㄐㄧㄣ1"
+ ],
+ "𤣸": [
+ "ㄅㄚ1"
+ ],
+ "𤣹": [
+ "ㄈㄚ3"
+ ],
+ "𤣻": [
+ "ㄇㄛ4"
+ ],
+ "𤣼": [
+ "ㄖㄨㄛ4"
+ ],
+ "𤤊": [
+ "ㄉㄚ4"
+ ],
+ "𤤋": [
+ "ㄐㄧ4"
+ ],
+ "𤤐": [
+ "ㄙㄨ4"
+ ],
+ "𤤑": [
+ "ㄑㄩㄥ2"
+ ],
+ "𤤒": [
+ "ㄅㄚ1"
+ ],
+ "𤤦": [
+ "ㄊㄧㄢ2"
+ ],
+ "𤤧": [
+ "ㄧㄡ2"
+ ],
+ "𤤩": [
+ "ㄊㄨㄛ2"
+ ],
+ "𤤫": [
+ "ㄨㄞ4"
+ ],
+ "𤤬": [
+ "ㄧㄡ4"
+ ],
+ "𤤮": [
+ "ㄉㄨㄥ1"
+ ],
+ "𤤱": [
+ "ㄒㄧ3"
+ ],
+ "𤤲": [
+ "ㄎㄨㄥ3"
+ ],
+ "𤤶": [
+ "ㄑㄩㄥ2"
+ ],
+ "𤤷": [
+ "ㄉㄨㄟ1"
+ ],
+ "𤤸": [
+ "ㄉㄨㄛ4"
+ ],
+ "𤤺": [
+ "ㄧ4"
+ ],
+ "𤥒": [
+ "ㄒㄧ1"
+ ],
+ "𤥓": [
+ "ㄑㄧㄣ1"
+ ],
+ "𤥔": [
+ "ㄙㄨ4"
+ ],
+ "𤥗": [
+ "ㄌㄧㄡ2"
+ ],
+ "𤥙": [
+ "ㄨㄢ2"
+ ],
+ "𤥭": [
+ "ㄔㄜ1"
+ ],
+ "𤥮": [
+ "ㄓㄨ1"
+ ],
+ "𤥰": [
+ "ㄇㄠ4"
+ ],
+ "𤥷": [
+ "ㄑㄩㄢ2"
+ ],
+ "𤥽": [
+ "ㄩ1"
+ ],
+ "𤥿": [
+ "ㄧ4"
+ ],
+ "𤦀": [
+ "ㄇㄧ2"
+ ],
+ "𤦃": [
+ "ㄌㄞ2"
+ ],
+ "𤦄": [
+ "ㄓ4"
+ ],
+ "𤦤": [
+ "ㄋㄧ2"
+ ],
+ "𤦦": [
+ "ㄅㄢ1"
+ ],
+ "𤦪": [
+ "ㄉㄨㄥ1"
+ ],
+ "𤦮": [
+ "ㄓ4"
+ ],
+ "𤧕": [
+ "ㄧ4"
+ ],
+ "𤧘": [
+ "ㄌㄧㄥ2"
+ ],
+ "𤧙": [
+ "ㄩ2"
+ ],
+ "𤧚": [
+ "ㄘㄨㄥ1"
+ ],
+ "𤧛": [
+ "ㄉㄧ4"
+ ],
+ "𤧜": [
+ "ㄓ4"
+ ],
+ "𤧠": [
+ "ㄖㄨㄢ3"
+ ],
+ "𤧣": [
+ "ㄐㄧㄢ4"
+ ],
+ "𤧩": [
+ "ㄨㄢ4"
+ ],
+ "𤧫": [
+ "ㄐㄧㄣ1",
+ "ㄐㄧㄣ4",
+ "ㄉㄨㄟ1"
+ ],
+ "𤧭": [
+ "ㄆㄤ2"
+ ],
+ "𤨍": [
+ "ㄌㄨ4"
+ ],
+ "𤨎": [
+ "ㄑㄩ2"
+ ],
+ "𤨐": [
+ "ㄒㄧ3",
+ "ㄊㄠ1"
+ ],
+ "𤨑": [
+ "ㄉㄚ2"
+ ],
+ "𤨖": [
+ "ㄏㄨ4"
+ ],
+ "𤨗": [
+ "ㄌㄨㄛ3"
+ ],
+ "𤨙": [
+ "ㄌㄜ4"
+ ],
+ "𤨶": [
+ "ㄍㄨㄥ3"
+ ],
+ "𤨻": [
+ "ㄌㄧㄥ4"
+ ],
+ "𤩂": [
+ "ㄌㄠ2"
+ ],
+ "𤩄": [
+ "ㄓㄨㄢ4"
+ ],
+ "𤩨": [
+ "ㄗㄠ3"
+ ],
+ "𤩩": [
+ "ㄏㄠ4"
+ ],
+ "𤩪": [
+ "ㄒㄧㄤ4"
+ ],
+ "𤩭": [
+ "ㄏㄠ4"
+ ],
+ "𤩮": [
+ "ㄌㄧ4"
+ ],
+ "𤩱": [
+ "ㄉㄧㄢ4",
+ "ㄊㄧㄢ4"
+ ],
+ "𤩲": [
+ "ㄍㄜ2"
+ ],
+ "𤩽": [
+ "ㄏㄨㄢ2"
+ ],
+ "𤪄": [
+ "ㄜ4"
+ ],
+ "𤪆": [
+ "ㄒㄧㄚ2"
+ ],
+ "𤪋": [
+ "ㄐㄧㄢ1"
+ ],
+ "𤪌": [
+ "ㄑㄧ2"
+ ],
+ "𤪍": [
+ "ㄒㄧㄚ2"
+ ],
+ "𤪎": [
+ "ㄧㄡ3"
+ ],
+ "𤪡": [
+ "ㄓㄥ1"
+ ],
+ "𤪪": [
+ "ㄓㄨㄢ4",
+ "ㄔㄨㄣ1"
+ ],
+ "𤪮": [
+ "ㄔㄢ4"
+ ],
+ "𤫉": [
+ "ㄒㄧㄝ4"
+ ],
+ "𤫕": [
+ "ㄋㄠ2"
+ ],
+ "𤫝": [
+ "ㄐㄧ4"
+ ],
+ "𤫞": [
+ "ㄊㄧㄢ2"
+ ],
+ "𤫣": [
+ "ㄧㄢ3"
+ ],
+ "𤫧": [
+ "ㄏㄠ3"
+ ],
+ "𤫨": [
+ "ㄒㄧㄣ2"
+ ],
+ "𤫩": [
+ "ㄌㄧㄥ2"
+ ],
+ "𤫫": [
+ "ㄅㄢ1"
+ ],
+ "𤫬": [
+ "ㄅㄥ3"
+ ],
+ "𤫱": [
+ "ㄍㄡ1"
+ ],
+ "𤫲": [
+ "ㄌㄧㄥ2"
+ ],
+ "𤫵": [
+ "ㄎㄨㄛ4",
+ "ㄍㄨㄛ2"
+ ],
+ "𤫶": [
+ "ㄑㄧㄚ4"
+ ],
+ "𤫷": [
+ "ㄐㄧㄠ4"
+ ],
+ "𤫹": [
+ "ㄣ1"
+ ],
+ "𤫺": [
+ "ㄧㄠ2"
+ ],
+ "𤫻": [
+ "ㄉㄨ1"
+ ],
+ "𤬁": [
+ "ㄏㄨㄛ3",
+ "ㄍㄨㄛ3",
+ "ㄌㄨㄛ3"
+ ],
+ "𤬂": [
+ "ㄉㄨ3"
+ ],
+ "𤬃": [
+ "ㄆㄟ1"
+ ],
+ "𤬌": [
+ "ㄩㄢ2"
+ ],
+ "𤬏": [
+ "ㄌㄡ2"
+ ],
+ "𤬐": [
+ "ㄒㄧㄥ2"
+ ],
+ "𤬓": [
+ "ㄌㄧㄢ2",
+ "ㄌㄧㄢ3"
+ ],
+ "𤬔": [
+ "ㄧㄠ2"
+ ],
+ "𤬕": [
+ "ㄒㄧ1"
+ ],
+ "𤬖": [
+ "ㄧㄠ2"
+ ],
+ "𤬘": [
+ "ㄒㄧ1"
+ ],
+ "𤬛": [
+ "ㄌㄨ2"
+ ],
+ "𤬝": [
+ "ㄧㄢ4"
+ ],
+ "𤬠": [
+ "ㄑㄩㄢ2"
+ ],
+ "𤬥": [
+ "ㄖㄤ2"
+ ],
+ "𤬦": [
+ "ㄨㄚ4"
+ ],
+ "𤬧": [
+ "ㄗㄨ2"
+ ],
+ "𤬨": [
+ "ㄈㄢ4"
+ ],
+ "𤬩": [
+ "ㄧ4"
+ ],
+ "𤬪": [
+ "ㄉㄨ4",
+ "ㄎㄢ1"
+ ],
+ "𤬫": [
+ "ㄙㄨㄟ4"
+ ],
+ "𤬭": [
+ "ㄆㄧ1"
+ ],
+ "𤬯": [
+ "ㄏㄢ2",
+ "ㄑㄧㄢ4"
+ ],
+ "𤬱": [
+ "ㄒㄩ4"
+ ],
+ "𤬳": [
+ "ㄍㄨㄥ3"
+ ],
+ "𤬵": [
+ "ㄉㄧ4"
+ ],
+ "𤬷": [
+ "ㄋㄚ4"
+ ],
+ "𤬾": [
+ "ㄉㄨㄛ4",
+ "ㄊㄨㄛ2"
+ ],
+ "𤬿": [
+ "ㄨㄚ1"
+ ],
+ "𤭂": [
+ "ㄋㄧㄝ4"
+ ],
+ "𤭈": [
+ "ㄉㄧㄠ4"
+ ],
+ "𤭉": [
+ "ㄏㄨㄤ1"
+ ],
+ "𤭌": [
+ "ㄊㄧ2"
+ ],
+ "𤭍": [
+ "ㄈㄢ4"
+ ],
+ "𤭑": [
+ "ㄨ2"
+ ],
+ "𤭒": [
+ "ㄤ2"
+ ],
+ "𤭔": [
+ "ㄆㄧㄥ2"
+ ],
+ "𤭙": [
+ "ㄏㄢ2",
+ "ㄍㄢ1"
+ ],
+ "𤭛": [
+ "ㄍㄤ1"
+ ],
+ "𤭜": [
+ "ㄌㄧ2"
+ ],
+ "𤭞": [
+ "ㄉㄨㄣ1"
+ ],
+ "𤭟": [
+ "ㄈㄨ4"
+ ],
+ "𤭠": [
+ "ㄋㄚ4"
+ ],
+ "𤭢": [
+ "ㄘㄟ4",
+ "ㄙㄨㄟ4"
+ ],
+ "𤭧": [
+ "ㄐㄧㄝ1"
+ ],
+ "𤭩": [
+ "ㄑㄧㄥ4"
+ ],
+ "𤭫": [
+ "ㄧㄥ1"
+ ],
+ "𤭬": [
+ "ㄒㄧㄤ2"
+ ],
+ "𤭱": [
+ "ㄏㄨ2"
+ ],
+ "𤭴": [
+ "ㄙㄨ4"
+ ],
+ "𤭻": [
+ "ㄍㄜ1"
+ ],
+ "𤭼": [
+ "ㄜ4"
+ ],
+ "𤭽": [
+ "ㄒㄩ4"
+ ],
+ "𤮆": [
+ "ㄒㄧ1"
+ ],
+ "𤮊": [
+ "ㄎㄤ1"
+ ],
+ "𤮋": [
+ "ㄍㄨㄛ2"
+ ],
+ "𤮌": [
+ "ㄐㄧㄝ1"
+ ],
+ "𤮍": [
+ "ㄔㄨㄢ2"
+ ],
+ "𤮎": [
+ "ㄌㄟ2"
+ ],
+ "𤮏": [
+ "ㄏㄥ2"
+ ],
+ "𤮐": [
+ "ㄗㄨㄣ1"
+ ],
+ "𤮕": [
+ "ㄆㄧㄝ4"
+ ],
+ "𤮘": [
+ "ㄉㄥ1"
+ ],
+ "𤮙": [
+ "ㄒㄧ1"
+ ],
+ "𤮚": [
+ "ㄌㄟ2"
+ ],
+ "𤮜": [
+ "ㄕㄢ4"
+ ],
+ "𤮧": [
+ "ㄌㄨ2"
+ ],
+ "𤮩": [
+ "ㄉㄨㄟ4"
+ ],
+ "𤮪": [
+ "ㄐㄩㄣ4"
+ ],
+ "𤮭": [
+ "ㄔㄢ4"
+ ],
+ "𤮯": [
+ "ㄒㄧㄝ2"
+ ],
+ "𤮰": [
+ "ㄨㄚ1"
+ ],
+ "𤮱": [
+ "ㄓㄜ2"
+ ],
+ "𤮳": [
+ "ㄓㄨㄢ1",
+ "ㄍㄨㄢ4"
+ ],
+ "𤮷": [
+ "ㄌㄧㄡ4"
+ ],
+ "𤮸": [
+ "ㄌㄟ2"
+ ],
+ "𤮼": [
+ "ㄉㄞ4"
+ ],
+ "𤮽": [
+ "ㄍㄢ1"
+ ],
+ "𤯄": [
+ "ㄕ4"
+ ],
+ "𤯇": [
+ "ㄧㄢ3"
+ ],
+ "𤯌": [
+ "ㄍㄢ1"
+ ],
+ "𤯐": [
+ "ㄧㄢ2"
+ ],
+ "𤯖": [
+ "ㄙㄨㄟ1"
+ ],
+ "𤯚": [
+ "ㄓㄨㄥ1"
+ ],
+ "𤯜": [
+ "ㄕ4"
+ ],
+ "𤯡": [
+ "ㄕㄥ4"
+ ],
+ "𤯥": [
+ "ㄔㄢ3"
+ ],
+ "𤯷": [
+ "ㄏㄨㄤ2"
+ ],
+ "𤯸": [
+ "ㄧㄣ4"
+ ],
+ "𤯻": [
+ "ㄇㄥ3"
+ ],
+ "𤰂": [
+ "ㄖㄤ2"
+ ],
+ "𤰅": [
+ "ㄒㄧㄤ2"
+ ],
+ "𤰈": [
+ "ㄅㄟ4",
+ "ㄈㄨ2"
+ ],
+ "𤰌": [
+ "ㄔㄨㄢ2"
+ ],
+ "𤰑": [
+ "ㄆㄨ2"
+ ],
+ "𤰙": [
+ "ㄎㄜ1",
+ "ㄍㄜ2"
+ ],
+ "𤰚": [
+ "ㄌㄚ1",
+ "ㄌㄚ2"
+ ],
+ "𤰝": [
+ "ㄑㄩㄢ3"
+ ],
+ "𤰟": [
+ "ㄏㄤ4"
+ ],
+ "𤰠": [
+ "ㄔ4"
+ ],
+ "𤰡": [
+ "ㄇㄤ2"
+ ],
+ "𤰦": [
+ "ㄓㄚ4"
+ ],
+ "𤰪": [
+ "ㄈㄣ4"
+ ],
+ "𤰬": [
+ "ㄔㄠ4"
+ ],
+ "𤰳": [
+ "ㄐㄧㄥ3"
+ ],
+ "𤱃": [
+ "ㄌㄧㄝ4"
+ ],
+ "𤱅": [
+ "ㄋㄚ4"
+ ],
+ "𤱆": [
+ "ㄋㄚ4"
+ ],
+ "𤱇": [
+ "ㄊㄨㄥ2"
+ ],
+ "𤱋": [
+ "ㄖㄢ2"
+ ],
+ "𤱌": [
+ "ㄗㄨ3"
+ ],
+ "𤱍": [
+ "ㄆㄧ1",
+ "ㄆㄛ3"
+ ],
+ "𤱎": [
+ "ㄧㄡ3"
+ ],
+ "𤱐": [
+ "ㄕㄨ1"
+ ],
+ "𤱛": [
+ "ㄌㄧㄝ4"
+ ],
+ "𤱜": [
+ "ㄕㄡ1"
+ ],
+ "𤱝": [
+ "ㄊㄨㄢ3"
+ ],
+ "𤱟": [
+ "ㄍㄠ3"
+ ],
+ "𤱠": [
+ "ㄕㄠ2"
+ ],
+ "𤱡": [
+ "ㄊㄨㄛ2"
+ ],
+ "𤱣": [
+ "ㄋㄢ2"
+ ],
+ "𤱧": [
+ "ㄊㄨㄛ3"
+ ],
+ "𤱨": [
+ "ㄍㄨㄥ1"
+ ],
+ "𤱩": [
+ "ㄉㄧㄠ4"
+ ],
+ "𤱴": [
+ "ㄇㄥ3"
+ ],
+ "𤱵": [
+ "ㄅㄤ1"
+ ],
+ "𤱷": [
+ "ㄒㄧㄝ2"
+ ],
+ "𤱸": [
+ "ㄙ4"
+ ],
+ "𤱹": [
+ "ㄊㄧㄥ3"
+ ],
+ "𤱺": [
+ "ㄍㄨㄟ4"
+ ],
+ "𤱽": [
+ "ㄈㄨ2"
+ ],
+ "𤱾": [
+ "ㄍㄨㄟ4"
+ ],
+ "𤲉": [
+ "ㄍㄨㄟ4"
+ ],
+ "𤲑": [
+ "ㄓㄨ3"
+ ],
+ "𤲓": [
+ "ㄌㄞ2"
+ ],
+ "𤲕": [
+ "ㄌㄨㄣ3"
+ ],
+ "𤲖": [
+ "ㄊㄧㄢ3"
+ ],
+ "𤲗": [
+ "ㄖㄢ3"
+ ],
+ "𤲚": [
+ "ㄉㄨㄥ1"
+ ],
+ "𤲨": [
+ "ㄐㄩㄢ4"
+ ],
+ "𤲩": [
+ "ㄧㄢ2"
+ ],
+ "𤲬": [
+ "ㄖㄨㄢ2"
+ ],
+ "𤲭": [
+ "ㄉㄢ3"
+ ],
+ "𤲰": [
+ "ㄇㄠ4"
+ ],
+ "𤲶": [
+ "ㄌㄨㄢ2",
+ "ㄋㄧㄠ3"
+ ],
+ "𤲸": [
+ "ㄒㄩ4",
+ "ㄗ1"
+ ],
+ "𤲺": [
+ "ㄒㄧ1"
+ ],
+ "𤳂": [
+ "ㄇㄚ2"
+ ],
+ "𤳃": [
+ "ㄑㄧ1"
+ ],
+ "𤳅": [
+ "ㄔㄚ4"
+ ],
+ "𤳈": [
+ "ㄕㄤ1"
+ ],
+ "𤳉": [
+ "ㄏㄢ4"
+ ],
+ "𤳊": [
+ "ㄆㄧㄥ2"
+ ],
+ "𤳎": [
+ "ㄐㄧ1"
+ ],
+ "𤳓": [
+ "ㄌㄧ4"
+ ],
+ "𤳕": [
+ "ㄩ4"
+ ],
+ "𤳖": [
+ "ㄅㄢ1",
+ "ㄈㄢ1"
+ ],
+ "𤳘": [
+ "ㄊㄥ1"
+ ],
+ "𤳝": [
+ "ㄔㄡ2"
+ ],
+ "𤳠": [
+ "ㄔㄡ2"
+ ],
+ "𤳤": [
+ "ㄑㄧ1"
+ ],
+ "𤳥": [
+ "ㄒㄧ1"
+ ],
+ "𤳦": [
+ "ㄅㄟ4"
+ ],
+ "𤳪": [
+ "ㄧㄝ4"
+ ],
+ "𤳭": [
+ "ㄍㄨㄤ3"
+ ],
+ "𤳯": [
+ "ㄓㄨ4"
+ ],
+ "𤳳": [
+ "ㄌㄟ2",
+ "ㄏㄨㄟ3"
+ ],
+ "𤳴": [
+ "ㄌㄟ2"
+ ],
+ "𤳵": [
+ "ㄔㄚ1"
+ ],
+ "𤴀": [
+ "ㄍㄨㄤ3",
+ "ㄑㄧㄠ1"
+ ],
+ "𤴍": [
+ "ㄉㄧㄝ2"
+ ],
+ "𤴓": [
+ "ㄧㄚ3"
+ ],
+ "𤴘": [
+ "ㄋㄧㄝ4"
+ ],
+ "𤴙": [
+ "ㄕㄨ1",
+ "ㄒㄩ1"
+ ],
+ "𤴛": [
+ "ㄓ4"
+ ],
+ "𤴟": [
+ "ㄓ4"
+ ],
+ "𤴢": [
+ "ㄓ4"
+ ],
+ "𤴣": [
+ "ㄆㄧ3"
+ ],
+ "𤴥": [
+ "ㄐㄧㄡ1"
+ ],
+ "𤴦": [
+ "ㄐㄧㄡ1"
+ ],
+ "𤴧": [
+ "ㄧ4"
+ ],
+ "𤴨": [
+ "ㄧㄡ4",
+ "ㄧㄡ3"
+ ],
+ "𤴪": [
+ "ㄐㄧㄡ1"
+ ],
+ "𤴯": [
+ "ㄏㄨㄢ4"
+ ],
+ "𤴱": [
+ "ㄉㄨ4"
+ ],
+ "𤴻": [
+ "ㄊㄠ2"
+ ],
+ "𤴼": [
+ "ㄑㄧㄝ4",
+ "ㄘ2"
+ ],
+ "𤴽": [
+ "ㄑㄧㄣ2"
+ ],
+ "𤴾": [
+ "ㄒㄧㄣ4"
+ ],
+ "𤴿": [
+ "ㄔㄢ1"
+ ],
+ "𤵀": [
+ "ㄐㄧ4"
+ ],
+ "𤵂": [
+ "ㄑㄧㄣ4"
+ ],
+ "𤵊": [
+ "ㄉㄨ4"
+ ],
+ "𤵋": [
+ "ㄓ1"
+ ],
+ "𤵎": [
+ "ㄡ3"
+ ],
+ "𤵐": [
+ "ㄨ4"
+ ],
+ "𤵒": [
+ "ㄨㄣ2"
+ ],
+ "𤵘": [
+ "ㄅㄧ4"
+ ],
+ "𤵛": [
+ "ㄅㄟ1"
+ ],
+ "𤵝": [
+ "ㄇㄨ3"
+ ],
+ "𤵞": [
+ "ㄐㄧㄣ4"
+ ],
+ "𤵟": [
+ "ㄊㄠ2"
+ ],
+ "𤵠": [
+ "ㄌㄧㄠ2"
+ ],
+ "𤵥": [
+ "ㄘㄠ2",
+ "ㄓㄡ3"
+ ],
+ "𤵦": [
+ "ㄓㄚ2"
+ ],
+ "𤵬": [
+ "ㄔ3"
+ ],
+ "𤵭": [
+ "ㄧㄚ1"
+ ],
+ "𤵮": [
+ "ㄎㄨㄟ2"
+ ],
+ "𤵯": [
+ "ㄧㄣ4"
+ ],
+ "𤵸": [
+ "ㄌㄨㄥ2",
+ "ㄆㄤ1"
+ ],
+ "𤵹": [
+ "ㄑㄧㄚ4"
+ ],
+ "𤵻": [
+ "ㄏㄤ1"
+ ],
+ "𤵼": [
+ "ㄕㄤ4",
+ "ㄕㄤ1"
+ ],
+ "𤵽": [
+ "ㄏㄞ4"
+ ],
+ "𤵾": [
+ "ㄔㄚ1"
+ ],
+ "𤶀": [
+ "ㄐㄧㄠ3"
+ ],
+ "𤶁": [
+ "ㄌㄠ3"
+ ],
+ "𤶈": [
+ "ㄒㄧ1"
+ ],
+ "𤶋": [
+ "ㄅㄛ2"
+ ],
+ "𤶓": [
+ "ㄓ3"
+ ],
+ "𤶕": [
+ "ㄊㄨㄣ4"
+ ],
+ "𤶖": [
+ "ㄈㄨ2"
+ ],
+ "𤶘": [
+ "ㄏㄨ1"
+ ],
+ "𤶚": [
+ "ㄋㄧㄝ4"
+ ],
+ "𤶛": [
+ "ㄧ4"
+ ],
+ "𤶜": [
+ "ㄓㄨㄤ4"
+ ],
+ "𤶠": [
+ "ㄔㄚ2"
+ ],
+ "𤶤": [
+ "ㄙㄨㄢ1"
+ ],
+ "𤶧": [
+ "ㄩㄣ4"
+ ],
+ "𤶮": [
+ "ㄉㄨ4"
+ ],
+ "𤶰": [
+ "ㄒㄧ1"
+ ],
+ "𤶱": [
+ "ㄔㄨㄢ4"
+ ],
+ "𤶲": [
+ "ㄒㄧㄥ2"
+ ],
+ "𤶳": [
+ "ㄐㄧㄠ3"
+ ],
+ "𤶴": [
+ "ㄕㄣ1"
+ ],
+ "𤷀": [
+ "ㄨㄤ1"
+ ],
+ "𤷁": [
+ "ㄅㄟ1"
+ ],
+ "𤷂": [
+ "ㄈㄟ2"
+ ],
+ "𤷃": [
+ "ㄐㄧㄢ4"
+ ],
+ "𤷄": [
+ "ㄑㄩㄢ2"
+ ],
+ "𤷅": [
+ "ㄧ4",
+ "ㄧㄚ2"
+ ],
+ "𤷆": [
+ "ㄉㄨㄥ1"
+ ],
+ "𤷇": [
+ "ㄒㄩ4"
+ ],
+ "𤷈": [
+ "ㄋㄚ4",
+ "ㄋㄧㄝ4"
+ ],
+ "𤷉": [
+ "ㄐㄧ2"
+ ],
+ "𤷌": [
+ "ㄓㄣ3"
+ ],
+ "𤷍": [
+ "ㄑㄧ2"
+ ],
+ "𤷎": [
+ "ㄉㄨㄟ1"
+ ],
+ "𤷏": [
+ "ㄧㄣ2"
+ ],
+ "𤷑": [
+ "ㄐㄧㄡ4"
+ ],
+ "𤷒": [
+ "ㄆㄧ2",
+ "ㄅㄧ4",
+ "ㄅㄟ1"
+ ],
+ "𤷓": [
+ "ㄒㄧㄣ4"
+ ],
+ "𤷔": [
+ "ㄌㄨㄣ2"
+ ],
+ "𤷕": [
+ "ㄘㄞ3"
+ ],
+ "𤷖": [
+ "ㄌㄧㄥ4"
+ ],
+ "𤷗": [
+ "ㄅㄧㄝ1"
+ ],
+ "𤷘": [
+ "ㄉㄠ4"
+ ],
+ "𤷙": [
+ "ㄉㄜ2"
+ ],
+ "𤷟": [
+ "ㄌㄚ5"
+ ],
+ "𤷡": [
+ "ㄒㄧ1",
+ "ㄋㄩㄝ4"
+ ],
+ "𤷢": [
+ "ㄐㄩ4"
+ ],
+ "𤷤": [
+ "ㄒㄧㄠ2"
+ ],
+ "𤷦": [
+ "ㄐㄧㄥ1"
+ ],
+ "𤷹": [
+ "ㄨㄞ4"
+ ],
+ "𤷻": [
+ "ㄋㄠ3"
+ ],
+ "𤷼": [
+ "ㄒㄧㄤ1"
+ ],
+ "𤷽": [
+ "ㄑㄩㄝ4"
+ ],
+ "𤷾": [
+ "ㄑㄧㄝ4"
+ ],
+ "𤷿": [
+ "ㄊㄨ1"
+ ],
+ "𤸀": [
+ "ㄒㄩ3"
+ ],
+ "𤸁": [
+ "ㄏㄨㄟ4"
+ ],
+ "𤸅": [
+ "ㄇㄧㄣ2"
+ ],
+ "𤸆": [
+ "ㄨㄟ3"
+ ],
+ "𤸈": [
+ "ㄧㄡ2"
+ ],
+ "𤸉": [
+ "ㄊㄨㄟ2"
+ ],
+ "𤸊": [
+ "ㄉㄞ4"
+ ],
+ "𤸎": [
+ "ㄎㄜ3",
+ "ㄏㄞ4"
+ ],
+ "𤸏": [
+ "ㄋㄚ4",
+ "ㄋㄧㄝ4"
+ ],
+ "𤸑": [
+ "ㄈㄨ4"
+ ],
+ "𤸒": [
+ "ㄩ4"
+ ],
+ "𤸓": [
+ "ㄓ3"
+ ],
+ "𤸕": [
+ "ㄏㄢ1"
+ ],
+ "𤸖": [
+ "ㄞ1"
+ ],
+ "𤸗": [
+ "ㄈㄨ4"
+ ],
+ "𤸡": [
+ "ㄧㄤ1"
+ ],
+ "𤸤": [
+ "ㄕ2"
+ ],
+ "𤸦": [
+ "ㄔㄢ2"
+ ],
+ "𤸪": [
+ "ㄔ4"
+ ],
+ "𤸫": [
+ "ㄩㄣ4"
+ ],
+ "𤸬": [
+ "ㄕㄨㄞ1"
+ ],
+ "𤸮": [
+ "ㄙㄨ4"
+ ],
+ "𤸯": [
+ "ㄙㄤ3"
+ ],
+ "𤸱": [
+ "ㄜ4",
+ "ㄎㄜ4",
+ "ㄎㄞ4",
+ "ㄧㄚ4"
+ ],
+ "𤸲": [
+ "ㄓㄥ3"
+ ],
+ "𤸳": [
+ "ㄞ2"
+ ],
+ "𤸴": [
+ "ㄙㄨㄛ3"
+ ],
+ "𤸵": [
+ "ㄅㄨ4"
+ ],
+ "𤸷": [
+ "ㄑㄩㄣ2"
+ ],
+ "𤸸": [
+ "ㄧ4"
+ ],
+ "𤸹": [
+ "ㄧㄢ3"
+ ],
+ "𤸻": [
+ "ㄋㄚ4"
+ ],
+ "𤸼": [
+ "ㄨ3"
+ ],
+ "𤹇": [
+ "ㄌㄧ4"
+ ],
+ "𤹈": [
+ "ㄌㄧ4"
+ ],
+ "𤹊": [
+ "ㄒㄧ1"
+ ],
+ "𤹋": [
+ "ㄐㄩㄝ2"
+ ],
+ "𤹌": [
+ "ㄕ1"
+ ],
+ "𤹎": [
+ "ㄧㄚ3"
+ ],
+ "𤹛": [
+ "ㄔㄣ2"
+ ],
+ "𤹜": [
+ "ㄧㄥ2"
+ ],
+ "𤹝": [
+ "ㄅㄧ4"
+ ],
+ "𤹞": [
+ "ㄔㄜ4"
+ ],
+ "𤹡": [
+ "ㄓㄚ1"
+ ],
+ "𤹢": [
+ "ㄊㄨㄛ3"
+ ],
+ "𤹣": [
+ "ㄏㄨ4"
+ ],
+ "𤹤": [
+ "ㄊㄥ2"
+ ],
+ "𤹥": [
+ "ㄧㄥ4"
+ ],
+ "𤹦": [
+ "ㄅㄧ3"
+ ],
+ "𤹧": [
+ "ㄋㄧㄥ2"
+ ],
+ "𤹨": [
+ "ㄌㄧㄢ4"
+ ],
+ "𤹩": [
+ "ㄒㄧㄣ4"
+ ],
+ "𤹪": [
+ "ㄩ3"
+ ],
+ "𤹲": [
+ "ㄅㄟ4"
+ ],
+ "𤹴": [
+ "ㄇㄛ2"
+ ],
+ "𤹵": [
+ "ㄉㄨㄟ1"
+ ],
+ "𤹷": [
+ "ㄉㄠ3"
+ ],
+ "𤹸": [
+ "ㄑㄧ2"
+ ],
+ "𤺀": [
+ "ㄕㄨㄞ1"
+ ],
+ "𤺃": [
+ "ㄒㄧㄠ1",
+ "ㄐㄧㄠ1",
+ "ㄧㄠ1"
+ ],
+ "𤺄": [
+ "ㄓㄨㄥ3",
+ "ㄊㄨㄥ2"
+ ],
+ "𤺅": [
+ "ㄓㄨㄟ4"
+ ],
+ "𤺇": [
+ "ㄅㄧㄢ4"
+ ],
+ "𤺉": [
+ "ㄨㄟ3"
+ ],
+ "𤺊": [
+ "ㄒㄧ1",
+ "ㄙ1"
+ ],
+ "𤺌": [
+ "ㄉㄥ1"
+ ],
+ "𤺎": [
+ "ㄒㄧㄝ1"
+ ],
+ "𤺏": [
+ "ㄆㄢ1"
+ ],
+ "𤺐": [
+ "ㄋㄧㄝ4"
+ ],
+ "𤺓": [
+ "ㄅㄧㄝ2"
+ ],
+ "𤺔": [
+ "ㄕㄜ4"
+ ],
+ "𤺕": [
+ "ㄈㄟ4"
+ ],
+ "𤺖": [
+ "ㄇㄧㄣ3"
+ ],
+ "𤺗": [
+ "ㄑㄧ4",
+ "ㄐㄧ4"
+ ],
+ "𤺪": [
+ "ㄕㄢ4"
+ ],
+ "𤺫": [
+ "ㄙㄨㄛ3"
+ ],
+ "𤺷": [
+ "ㄐㄧ2"
+ ],
+ "𤺺": [
+ "ㄉㄢ3",
+ "ㄉㄢ4",
+ "ㄊㄢ2"
+ ],
+ "𤺻": [
+ "ㄐㄩㄢ4"
+ ],
+ "𤺼": [
+ "ㄌㄨ4"
+ ],
+ "𤺾": [
+ "ㄠ4"
+ ],
+ "𤻂": [
+ "ㄧ4"
+ ],
+ "𤻃": [
+ "ㄕㄨ3"
+ ],
+ "𤻄": [
+ "ㄙㄨㄟ4"
+ ],
+ "𤻅": [
+ "ㄨㄟ4"
+ ],
+ "𤻆": [
+ "ㄨㄢ2"
+ ],
+ "𤻇": [
+ "ㄔㄨ3"
+ ],
+ "𤻌": [
+ "ㄨㄛ4"
+ ],
+ "𤻖": [
+ "ㄅㄧ4"
+ ],
+ "𤻘": [
+ "ㄧㄣ3"
+ ],
+ "𤻙": [
+ "ㄏㄨㄛ2"
+ ],
+ "𤻜": [
+ "ㄎㄞ4",
+ "ㄜ4"
+ ],
+ "𤻝": [
+ "ㄋㄧㄥ2"
+ ],
+ "𤻢": [
+ "ㄞ4"
+ ],
+ "𤻤": [
+ "ㄌㄧ4"
+ ],
+ "𤻦": [
+ "ㄓㄞ1"
+ ],
+ "𤻱": [
+ "ㄌㄨ4"
+ ],
+ "𤻶": [
+ "ㄅㄧㄢ4"
+ ],
+ "𤻷": [
+ "ㄆㄢ2"
+ ],
+ "𤻿": [
+ "ㄍㄨㄟ4"
+ ],
+ "𤼀": [
+ "ㄙㄨ1"
+ ],
+ "𤼁": [
+ "ㄇㄥ2"
+ ],
+ "𤼂": [
+ "ㄒㄧㄢ3"
+ ],
+ "𤼃": [
+ "ㄌㄨㄥ4",
+ "ㄌㄨㄥ2"
+ ],
+ "𤼅": [
+ "ㄑㄧ4"
+ ],
+ "𤼋": [
+ "ㄔㄢ4"
+ ],
+ "𤼌": [
+ "ㄧ4"
+ ],
+ "𤼍": [
+ "ㄏㄤ2"
+ ],
+ "𤼏": [
+ "ㄌㄧㄢ3"
+ ],
+ "𤼐": [
+ "ㄍㄨㄢ4",
+ "ㄏㄨㄢ4"
+ ],
+ "𤼒": [
+ "ㄨㄟ3",
+ "ㄏㄨㄚ4"
+ ],
+ "𤼗": [
+ "ㄐㄩㄝ2"
+ ],
+ "𤼘": [
+ "ㄌㄟ2"
+ ],
+ "𤼙": [
+ "ㄌㄨㄢ2"
+ ],
+ "𤼚": [
+ "ㄌㄧ4"
+ ],
+ "𤼜": [
+ "ㄆㄧ2"
+ ],
+ "𤼢": [
+ "ㄏㄨㄢ3"
+ ],
+ "𤼮": [
+ "ㄍㄨㄟ1"
+ ],
+ "𤼳": [
+ "ㄐㄩ2"
+ ],
+ "𤼶": [
+ "ㄉㄥ1"
+ ],
+ "𤼺": [
+ "ㄈㄟ4"
+ ],
+ "𤽁": [
+ "ㄓ1"
+ ],
+ "𤽃": [
+ "ㄇㄟ4"
+ ],
+ "𤽅": [
+ "ㄏㄨㄢ4"
+ ],
+ "𤽉": [
+ "ㄆㄚ1"
+ ],
+ "𤽊": [
+ "ㄅㄧ3"
+ ],
+ "𤽌": [
+ "ㄆㄛ1"
+ ],
+ "𤽓": [
+ "ㄦ2"
+ ],
+ "𤽕": [
+ "ㄏㄨㄢ4"
+ ],
+ "𤽣": [
+ "ㄔㄤ4"
+ ],
+ "𤽥": [
+ "ㄌㄨㄛ4"
+ ],
+ "𤽦": [
+ "ㄈㄡ3"
+ ],
+ "𤽯": [
+ "ㄔㄡ2"
+ ],
+ "𤽱": [
+ "ㄗㄨ2"
+ ],
+ "𤽲": [
+ "ㄋㄢ2"
+ ],
+ "𤽳": [
+ "ㄒㄧㄠ3"
+ ],
+ "𤽹": [
+ "ㄅㄞ4"
+ ],
+ "𤽺": [
+ "ㄌㄨ4"
+ ],
+ "𤽼": [
+ "ㄌㄨㄛ4"
+ ],
+ "𤽿": [
+ "ㄋㄧㄢ4"
+ ],
+ "𤾀": [
+ "ㄗㄜ2"
+ ],
+ "𤾄": [
+ "ㄓㄨ4"
+ ],
+ "𤾅": [
+ "ㄏㄨ2"
+ ],
+ "𤾈": [
+ "ㄏㄨㄟ1"
+ ],
+ "𤾉": [
+ "ㄊㄤ3"
+ ],
+ "𤾊": [
+ "ㄔㄡ2"
+ ],
+ "𤾑": [
+ "ㄏㄨㄤ2"
+ ],
+ "𤾒": [
+ "ㄉㄡ1"
+ ],
+ "𤾛": [
+ "ㄇㄧㄠ4"
+ ],
+ "𤾝": [
+ "ㄅㄛ2"
+ ],
+ "𤾠": [
+ "ㄉㄧ4"
+ ],
+ "𤾢": [
+ "ㄉㄥ3"
+ ],
+ "𤾣": [
+ "ㄆㄨ1"
+ ],
+ "𤾥": [
+ "ㄙㄨㄥ1"
+ ],
+ "𤾦": [
+ "ㄔㄡ2"
+ ],
+ "𤾫": [
+ "ㄧㄠ4"
+ ],
+ "𤾬": [
+ "ㄇㄥ3"
+ ],
+ "𤾭": [
+ "ㄌㄨㄥ2"
+ ],
+ "𤾲": [
+ "ㄌㄧㄢ2"
+ ],
+ "𤾵": [
+ "ㄅㄧㄝ2"
+ ],
+ "𤾺": [
+ "ㄌㄩ3"
+ ],
+ "𤾿": [
+ "ㄙㄜ4"
+ ],
+ "𤿀": [
+ "ㄗㄨㄛ2"
+ ],
+ "𤿄": [
+ "ㄘㄨㄣ2"
+ ],
+ "𤿅": [
+ "ㄌㄧㄥ2"
+ ],
+ "𤿆": [
+ "ㄓㄥ3"
+ ],
+ "𤿇": [
+ "ㄆㄧ3"
+ ],
+ "𤿈": [
+ "ㄅㄠ2"
+ ],
+ "𤿋": [
+ "ㄑㄩㄝ4"
+ ],
+ "𤿎": [
+ "ㄆㄧ1"
+ ],
+ "𤿏": [
+ "ㄋㄢ4"
+ ],
+ "𤿐": [
+ "ㄆㄧ1"
+ ],
+ "𤿑": [
+ "ㄅㄛ3"
+ ],
+ "𤿒": [
+ "ㄅㄟ4"
+ ],
+ "𤿓": [
+ "ㄈㄚ1"
+ ],
+ "𤿕": [
+ "ㄇㄧㄣ3"
+ ],
+ "𤿖": [
+ "ㄇㄛ4"
+ ],
+ "𤿗": [
+ "ㄨㄚ4"
+ ],
+ "𤿘": [
+ "ㄓㄠ1"
+ ],
+ "𤿙": [
+ "ㄓ4",
+ "ㄆㄧ2"
+ ],
+ "𤿚": [
+ "ㄘㄨ1"
+ ],
+ "𤿟": [
+ "ㄒㄩㄣ2"
+ ],
+ "𤿠": [
+ "ㄐㄧ2"
+ ],
+ "𤿡": [
+ "ㄍㄨㄟ4",
+ "ㄑㄧ2"
+ ],
+ "𤿣": [
+ "ㄔㄥ2"
+ ],
+ "𤿧": [
+ "ㄏㄢ4"
+ ],
+ "𤿨": [
+ "ㄒㄧㄠ4"
+ ],
+ "𤿩": [
+ "ㄑㄩㄝ4"
+ ],
+ "𤿫": [
+ "ㄔㄨㄛ4"
+ ],
+ "𤿭": [
+ "ㄈㄨ3"
+ ],
+ "𤿳": [
+ "ㄑㄧㄣ3"
+ ],
+ "𤿴": [
+ "ㄌㄨ4"
+ ],
+ "𤿵": [
+ "ㄑㄩㄝ4"
+ ],
+ "𤿶": [
+ "ㄉㄧㄢ3"
+ ],
+ "𤿷": [
+ "ㄑㄧㄢ1"
+ ],
+ "𤿼": [
+ "ㄔㄤ3"
+ ],
+ "𤿽": [
+ "ㄊㄚ4"
+ ],
+ "𤿾": [
+ "ㄅㄟ1"
+ ],
+ "𥀁": [
+ "ㄉㄨ4"
+ ],
+ "𥀂": [
+ "ㄅㄥ3",
+ "ㄅㄤ1"
+ ],
+ "𥀃": [
+ "ㄏㄡ4"
+ ],
+ "𥀈": [
+ "ㄓㄚ3"
+ ],
+ "𥀉": [
+ "ㄓㄚ3"
+ ],
+ "𥀎": [
+ "ㄑㄩㄝ4"
+ ],
+ "𥀏": [
+ "ㄇㄚ2"
+ ],
+ "𥀐": [
+ "ㄏㄢ2"
+ ],
+ "𥀓": [
+ "ㄌㄧㄡ2"
+ ],
+ "𥀔": [
+ "ㄌㄨ4"
+ ],
+ "𥀖": [
+ "ㄗ1"
+ ],
+ "𥀘": [
+ "ㄆㄧ3"
+ ],
+ "𥀙": [
+ "ㄓㄡ4"
+ ],
+ "𥀛": [
+ "ㄗㄠ1"
+ ],
+ "𥀝": [
+ "ㄋㄧㄡ3"
+ ],
+ "𥀠": [
+ "ㄏㄨㄟ4"
+ ],
+ "𥀣": [
+ "ㄒㄩㄝ2",
+ "ㄑㄧㄠ4"
+ ],
+ "𥀥": [
+ "ㄌㄚ4"
+ ],
+ "𥀫": [
+ "ㄋㄡ2",
+ "ㄖㄢ3"
+ ],
+ "𥀬": [
+ "ㄧㄢ3",
+ "ㄧㄝ4"
+ ],
+ "𥀭": [
+ "ㄖㄢ3"
+ ],
+ "𥀮": [
+ "ㄋㄠ3"
+ ],
+ "𥀰": [
+ "ㄌㄚ4"
+ ],
+ "𥀱": [
+ "ㄍㄨㄤ3"
+ ],
+ "𥀲": [
+ "ㄉㄨ2"
+ ],
+ "𥀵": [
+ "ㄌㄨ2"
+ ],
+ "𥀹": [
+ "ㄐㄧㄢ3"
+ ],
+ "𥀺": [
+ "ㄒㄧㄝ4"
+ ],
+ "𥀻": [
+ "ㄑㄧ4"
+ ],
+ "𥀾": [
+ "ㄒㄧㄤ4"
+ ],
+ "𥁁": [
+ "ㄍㄨㄛ3"
+ ],
+ "𥁂": [
+ "ㄐㄧㄝ2"
+ ],
+ "𥁃": [
+ "ㄇㄤ4"
+ ],
+ "𥁆": [
+ "ㄒㄧㄚ1"
+ ],
+ "𥁇": [
+ "ㄎㄨㄟ1"
+ ],
+ "𥁎": [
+ "ㄩㄥ4"
+ ],
+ "𥁐": [
+ "ㄏㄞ3"
+ ],
+ "𥁑": [
+ "ㄇㄧ4"
+ ],
+ "𥁒": [
+ "ㄧㄠ4"
+ ],
+ "𥁕": [
+ "ㄨㄣ1"
+ ],
+ "𥁟": [
+ "ㄌㄧ4"
+ ],
+ "𥁠": [
+ "ㄐㄩㄢ4",
+ "ㄑㄩㄢ2",
+ "ㄑㄩㄢ1"
+ ],
+ "𥁡": [
+ "ㄨ1"
+ ],
+ "𥁢": [
+ "ㄑㄧㄠ2"
+ ],
+ "𥁮": [
+ "ㄉㄧㄠ4"
+ ],
+ "𥁯": [
+ "ㄔㄨ4",
+ "ㄔㄨㄛ4"
+ ],
+ "𥁲": [
+ "ㄙㄨㄛ1"
+ ],
+ "𥁵": [
+ "ㄔㄨㄥ1"
+ ],
+ "𥁸": [
+ "ㄑㄩㄢ1"
+ ],
+ "𥁹": [
+ "ㄕㄜ4"
+ ],
+ "𥂁": [
+ "ㄧㄢ2"
+ ],
+ "𥂂": [
+ "ㄇㄥ3"
+ ],
+ "𥂃": [
+ "ㄐㄩ4"
+ ],
+ "𥂋": [
+ "ㄊㄨ2"
+ ],
+ "𥂒": [
+ "ㄋㄨㄥ2"
+ ],
+ "𥂓": [
+ "ㄇㄛ2"
+ ],
+ "𥂙": [
+ "ㄈㄣ4"
+ ],
+ "𥂢": [
+ "ㄠ2"
+ ],
+ "𥂣": [
+ "ㄍㄨㄛ1"
+ ],
+ "𥂤": [
+ "ㄏㄨ2"
+ ],
+ "𥂥": [
+ "ㄘㄢ2"
+ ],
+ "𥂦": [
+ "ㄉㄨㄣ1"
+ ],
+ "𥂧": [
+ "ㄏㄞ3"
+ ],
+ "𥂨": [
+ "ㄐㄧㄠ3"
+ ],
+ "𥂰": [
+ "ㄍㄨ1"
+ ],
+ "𥂵": [
+ "ㄐㄧㄣ1"
+ ],
+ "𥂸": [
+ "ㄧㄤ2"
+ ],
+ "𥃀": [
+ "ㄔㄚ4"
+ ],
+ "𥃌": [
+ "ㄏㄨㄟ1"
+ ],
+ "𥃔": [
+ "ㄑㄩ2"
+ ],
+ "𥃕": [
+ "ㄎㄜ1"
+ ],
+ "𥃟": [
+ "ㄑㄧㄥ1"
+ ],
+ "𥃠": [
+ "ㄧ4"
+ ],
+ "𥃣": [
+ "ㄎㄞ3"
+ ],
+ "𥃤": [
+ "ㄐㄧㄠ3"
+ ],
+ "𥃧": [
+ "ㄔㄡ1",
+ "ㄐㄧㄠ3",
+ "ㄧㄠ3"
+ ],
+ "𥃨": [
+ "ㄅㄨ3"
+ ],
+ "𥃩": [
+ "ㄍㄣ4",
+ "ㄧㄢ3"
+ ],
+ "𥃪": [
+ "ㄐㄧㄠ1"
+ ],
+ "𥃫": [
+ "ㄓ1"
+ ],
+ "𥃮": [
+ "ㄨㄣ4"
+ ],
+ "𥃰": [
+ "ㄅㄧㄣ1"
+ ],
+ "𥃴": [
+ "ㄒㄩㄥ4"
+ ],
+ "𥃵": [
+ "ㄈㄢ4"
+ ],
+ "𥃸": [
+ "ㄧ2"
+ ],
+ "𥃹": [
+ "ㄔㄨㄢ4"
+ ],
+ "𥃺": [
+ "ㄧㄠ4"
+ ],
+ "𥃽": [
+ "ㄧㄤ1"
+ ],
+ "𥃾": [
+ "ㄉㄨ4"
+ ],
+ "𥃿": [
+ "ㄧㄢ3"
+ ],
+ "𥄁": [
+ "ㄇㄥ2"
+ ],
+ "𥄇": [
+ "ㄔ1",
+ "ㄏㄨㄣ1"
+ ],
+ "𥄈": [
+ "ㄇㄨ4"
+ ],
+ "𥄉": [
+ "ㄐㄧㄠ1"
+ ],
+ "𥄋": [
+ "ㄋㄩ4"
+ ],
+ "𥄍": [
+ "ㄍㄨㄛ2"
+ ],
+ "𥄎": [
+ "ㄒㄩㄝ4"
+ ],
+ "𥄑": [
+ "ㄈㄨ2"
+ ],
+ "𥄒": [
+ "ㄒㄩㄝ1"
+ ],
+ "𥄓": [
+ "ㄈㄨ1"
+ ],
+ "𥄔": [
+ "ㄆㄟ4",
+ "ㄆㄛ4"
+ ],
+ "𥄕": [
+ "ㄇㄛ4"
+ ],
+ "𥄖": [
+ "ㄒㄧ1"
+ ],
+ "𥄗": [
+ "ㄨㄛ4",
+ "ㄋㄞ4"
+ ],
+ "𥄘": [
+ "ㄕㄢ3"
+ ],
+ "𥄛": [
+ "ㄒㄧ1"
+ ],
+ "𥄜": [
+ "ㄑㄧ4"
+ ],
+ "𥄝": [
+ "ㄇㄧㄢ4"
+ ],
+ "𥄦": [
+ "ㄉㄢ3"
+ ],
+ "𥄨": [
+ "ㄔㄡ3"
+ ],
+ "𥄱": [
+ "ㄈㄟ4"
+ ],
+ "𥄲": [
+ "ㄇㄧㄝ2"
+ ],
+ "𥄴": [
+ "ㄒㄩㄝ4",
+ "ㄐㄩㄝ2"
+ ],
+ "𥄵": [
+ "ㄒㄩ4",
+ "ㄩ4"
+ ],
+ "𥄶": [
+ "ㄙ1"
+ ],
+ "𥄷": [
+ "ㄐㄩ3"
+ ],
+ "𥄸": [
+ "ㄇㄠ3"
+ ],
+ "𥄹": [
+ "ㄅㄠ4"
+ ],
+ "𥄻": [
+ "ㄧ2"
+ ],
+ "𥄼": [
+ "ㄍㄨㄚ1"
+ ],
+ "𥄽": [
+ "ㄋㄧ4"
+ ],
+ "𥄿": [
+ "ㄧ2",
+ "ㄉㄧ4"
+ ],
+ "𥅁": [
+ "ㄗㄨㄛ4"
+ ],
+ "𥅄": [
+ "ㄋㄨ3"
+ ],
+ "𥅑": [
+ "ㄉㄧㄢ4"
+ ],
+ "𥅒": [
+ "ㄈㄢ4"
+ ],
+ "𥅓": [
+ "ㄧ4"
+ ],
+ "𥅔": [
+ "ㄕ4"
+ ],
+ "𥅗": [
+ "ㄘㄨ1"
+ ],
+ "𥅘": [
+ "ㄓㄣ3",
+ "ㄇㄧ2"
+ ],
+ "𥅞": [
+ "ㄕ4"
+ ],
+ "𥅟": [
+ "ㄐㄧㄠ3"
+ ],
+ "𥅠": [
+ "ㄏㄡ4"
+ ],
+ "𥅡": [
+ "ㄦ2"
+ ],
+ "𥅦": [
+ "ㄌㄟ4"
+ ],
+ "𥅧": [
+ "ㄒㄩㄝ4"
+ ],
+ "𥅨": [
+ "ㄍㄥ4"
+ ],
+ "𥅪": [
+ "ㄕㄡ1"
+ ],
+ "𥅬": [
+ "ㄐㄩㄢ1"
+ ],
+ "𥅴": [
+ "ㄐㄧㄝ2"
+ ],
+ "𥅵": [
+ "ㄨㄟ2"
+ ],
+ "𥅷": [
+ "ㄕㄡ3"
+ ],
+ "𥅸": [
+ "ㄐㄧㄥ4"
+ ],
+ "𥅺": [
+ "ㄒㄩ2"
+ ],
+ "𥅻": [
+ "ㄔㄨㄥ4"
+ ],
+ "𥆅": [
+ "ㄐㄧㄤ1"
+ ],
+ "𥆆": [
+ "ㄇㄡ4"
+ ],
+ "𥆉": [
+ "ㄩ4"
+ ],
+ "𥆌": [
+ "ㄐㄩㄝ2"
+ ],
+ "𥆑": [
+ "ㄊㄧㄥ4"
+ ],
+ "𥆔": [
+ "ㄒㄧㄠ1"
+ ],
+ "𥆖": [
+ "ㄉㄡ1"
+ ],
+ "𥆘": [
+ "ㄍㄨㄛ2"
+ ],
+ "𥆙": [
+ "ㄇㄤ2"
+ ],
+ "𥆚": [
+ "ㄨㄤ1"
+ ],
+ "𥆛": [
+ "ㄒㄩ4"
+ ],
+ "𥆜": [
+ "ㄨㄤ4"
+ ],
+ "𥆝": [
+ "ㄙㄨㄛ1"
+ ],
+ "𥆞": [
+ "ㄐㄩㄢ4"
+ ],
+ "𥆟": [
+ "ㄩㄝ4"
+ ],
+ "𥆡": [
+ "ㄏㄢ2"
+ ],
+ "𥆣": [
+ "ㄕㄣ1"
+ ],
+ "𥆥": [
+ "ㄒㄧㄝ2"
+ ],
+ "𥆦": [
+ "ㄌㄧㄡ2"
+ ],
+ "𥆧": [
+ "ㄖㄨㄣ2"
+ ],
+ "𥆯": [
+ "ㄅㄧ4"
+ ],
+ "𥆲": [
+ "ㄋㄠ4"
+ ],
+ "𥆶": [
+ "ㄨㄢ4"
+ ],
+ "𥆷": [
+ "ㄐㄧㄡ4"
+ ],
+ "𥆸": [
+ "ㄑㄩㄝ1"
+ ],
+ "𥇄": [
+ "ㄋㄧ4"
+ ],
+ "𥇆": [
+ "ㄇㄧ2"
+ ],
+ "𥇇": [
+ "ㄙㄨㄛ1"
+ ],
+ "𥇉": [
+ "ㄑㄧㄤ3"
+ ],
+ "𥇌": [
+ "ㄏㄢ4",
+ "ㄑㄧㄚ4"
+ ],
+ "𥇍": [
+ "ㄓㄨㄛ2"
+ ],
+ "𥇎": [
+ "ㄇㄧ2"
+ ],
+ "𥇏": [
+ "ㄒㄩ4"
+ ],
+ "𥇑": [
+ "ㄌㄤ3"
+ ],
+ "𥇒": [
+ "ㄐㄧㄝ2"
+ ],
+ "𥇓": [
+ "ㄉㄧㄥ4"
+ ],
+ "𥇔": [
+ "ㄔㄤ4",
+ "ㄓㄤ1"
+ ],
+ "𥇕": [
+ "ㄓ4"
+ ],
+ "𥇖": [
+ "ㄈㄟ1"
+ ],
+ "𥇗": [
+ "ㄐㄧㄚ2"
+ ],
+ "𥇘": [
+ "ㄐㄩㄣ4"
+ ],
+ "𥇙": [
+ "ㄏㄨㄛ4"
+ ],
+ "𥇚": [
+ "ㄑㄧ1"
+ ],
+ "𥇛": [
+ "ㄐㄩ1",
+ "ㄐㄩ4",
+ "ㄒㄧ4"
+ ],
+ "𥇜": [
+ "ㄓㄨㄣ1",
+ "ㄍㄨㄛ1"
+ ],
+ "𥇞": [
+ "ㄉㄧㄢ4"
+ ],
+ "𥇟": [
+ "ㄐㄧㄠ3"
+ ],
+ "𥇠": [
+ "ㄧㄚ1"
+ ],
+ "𥇢": [
+ "ㄓㄢ3"
+ ],
+ "𥇭": [
+ "ㄓ1"
+ ],
+ "𥇯": [
+ "ㄇㄞ4"
+ ],
+ "𥇰": [
+ "ㄏㄨ1"
+ ],
+ "𥇱": [
+ "ㄒㄧㄝ4"
+ ],
+ "𥇲": [
+ "ㄕ2"
+ ],
+ "𥇳": [
+ "ㄍㄨㄟ1"
+ ],
+ "𥇿": [
+ "ㄒㄩ4"
+ ],
+ "𥈂": [
+ "ㄐㄧ2"
+ ],
+ "𥈄": [
+ "ㄔㄨㄤ4"
+ ],
+ "𥈆": [
+ "ㄇㄠ4"
+ ],
+ "𥈇": [
+ "ㄖㄨㄢ2"
+ ],
+ "𥈈": [
+ "ㄒㄩ1"
+ ],
+ "𥈉": [
+ "ㄏㄨㄢ4"
+ ],
+ "𥈊": [
+ "ㄕㄚ4"
+ ],
+ "𥈋": [
+ "ㄐㄩ3"
+ ],
+ "𥈏": [
+ "ㄎㄨㄤ4"
+ ],
+ "𥈑": [
+ "ㄏㄡ2"
+ ],
+ "𥈒": [
+ "ㄍㄨㄢ1"
+ ],
+ "𥈓": [
+ "ㄍㄨㄚ1"
+ ],
+ "𥈕": [
+ "ㄇㄧ2"
+ ],
+ "𥈖": [
+ "ㄉㄧㄝ2"
+ ],
+ "𥈗": [
+ "ㄅㄧ4"
+ ],
+ "𥈘": [
+ "ㄌㄧㄤ3"
+ ],
+ "𥈙": [
+ "ㄌㄚ4"
+ ],
+ "𥈚": [
+ "ㄕㄢ3"
+ ],
+ "𥈛": [
+ "ㄌㄨ4"
+ ],
+ "𥈜": [
+ "ㄒㄧ4"
+ ],
+ "𥈟": [
+ "ㄙㄡ3"
+ ],
+ "𥈬": [
+ "ㄡ1"
+ ],
+ "𥈮": [
+ "ㄌㄥ2"
+ ],
+ "𥈷": [
+ "ㄎㄨ1"
+ ],
+ "𥈸": [
+ "ㄍㄨㄟ1"
+ ],
+ "𥈻": [
+ "ㄒㄧ1"
+ ],
+ "𥈼": [
+ "ㄆㄢ2",
+ "ㄆㄢ1"
+ ],
+ "𥈽": [
+ "ㄙㄜ4"
+ ],
+ "𥈾": [
+ "ㄐㄩㄝ4"
+ ],
+ "𥈿": [
+ "ㄏㄨㄥ4"
+ ],
+ "𥉀": [
+ "ㄍㄨㄢ4"
+ ],
+ "𥉁": [
+ "ㄐㄩ4"
+ ],
+ "𥉃": [
+ "ㄋㄞ4"
+ ],
+ "𥉄": [
+ "ㄏㄨㄚ2"
+ ],
+ "𥉅": [
+ "ㄍㄜ2"
+ ],
+ "𥉆": [
+ "ㄌㄧ4"
+ ],
+ "𥉇": [
+ "ㄍㄡ4"
+ ],
+ "𥉈": [
+ "ㄊㄧ4"
+ ],
+ "𥉊": [
+ "ㄇㄚ4"
+ ],
+ "𥉋": [
+ "ㄊㄥ2"
+ ],
+ "𥉌": [
+ "ㄉㄚ2"
+ ],
+ "𥉐": [
+ "ㄑㄧ1"
+ ],
+ "𥉑": [
+ "ㄩ4",
+ "ㄏㄜ4"
+ ],
+ "𥉒": [
+ "ㄐㄧㄠ3"
+ ],
+ "𥉓": [
+ "ㄇㄧㄝ4"
+ ],
+ "𥉔": [
+ "ㄍㄥ3"
+ ],
+ "𥉕": [
+ "ㄇㄥ4",
+ "ㄇㄥ2"
+ ],
+ "𥉖": [
+ "ㄨㄟ4"
+ ],
+ "𥉘": [
+ "ㄊㄧ2"
+ ],
+ "𥉙": [
+ "ㄑㄧ2"
+ ],
+ "𥉜": [
+ "ㄔㄣ2"
+ ],
+ "𥉝": [
+ "ㄉㄡ1"
+ ],
+ "𥉟": [
+ "ㄆㄢ2"
+ ],
+ "𥉰": [
+ "ㄏㄢ4",
+ "ㄑㄧㄚ4"
+ ],
+ "𥉴": [
+ "ㄇㄧ4"
+ ],
+ "𥉵": [
+ "ㄇㄚ2"
+ ],
+ "𥉶": [
+ "ㄌㄨ4"
+ ],
+ "𥉷": [
+ "ㄑㄧ1"
+ ],
+ "𥉸": [
+ "ㄎㄥ1"
+ ],
+ "𥉺": [
+ "ㄉㄧㄝ2"
+ ],
+ "𥉻": [
+ "ㄑㄧ4"
+ ],
+ "𥉼": [
+ "ㄐㄧㄠ1"
+ ],
+ "𥉽": [
+ "ㄎㄤ1"
+ ],
+ "𥉾": [
+ "ㄑㄧㄠ1"
+ ],
+ "𥉿": [
+ "ㄇㄧ4"
+ ],
+ "𥊀": [
+ "ㄕㄢ1",
+ "ㄙㄢ3"
+ ],
+ "𥊇": [
+ "ㄐㄧㄢ1"
+ ],
+ "𥊈": [
+ "ㄌㄧ2"
+ ],
+ "𥊉": [
+ "ㄎㄜ4"
+ ],
+ "𥊊": [
+ "ㄒㄩ4"
+ ],
+ "𥊑": [
+ "ㄇㄢ2",
+ "ㄇㄢ4"
+ ],
+ "𥊒": [
+ "ㄈㄥ4"
+ ],
+ "𥊓": [
+ "ㄔㄢ4"
+ ],
+ "𥊔": [
+ "ㄏㄨㄟ3"
+ ],
+ "𥊧": [
+ "ㄎㄡ4"
+ ],
+ "𥊪": [
+ "ㄨㄟ3"
+ ],
+ "𥊫": [
+ "ㄍㄨㄢ4"
+ ],
+ "𥊬": [
+ "ㄐㄧ2"
+ ],
+ "𥊭": [
+ "ㄗㄨㄣ4"
+ ],
+ "𥊮": [
+ "ㄏㄨㄛ4"
+ ],
+ "𥊯": [
+ "ㄒㄧㄝ2"
+ ],
+ "𥊴": [
+ "ㄙㄨㄟ4"
+ ],
+ "𥊶": [
+ "ㄖㄨㄢ3"
+ ],
+ "𥊸": [
+ "ㄊㄜ4"
+ ],
+ "𥊼": [
+ "ㄓㄥ4"
+ ],
+ "𥊽": [
+ "ㄎㄨㄣ1"
+ ],
+ "𥊾": [
+ "ㄒㄧㄤ3"
+ ],
+ "𥊿": [
+ "ㄇㄧㄢ2"
+ ],
+ "𥋁": [
+ "ㄒㄧ4"
+ ],
+ "𥋌": [
+ "ㄙㄚ1"
+ ],
+ "𥋙": [
+ "ㄜ4"
+ ],
+ "𥋚": [
+ "ㄇㄧㄝ4"
+ ],
+ "𥋛": [
+ "ㄓㄨ3"
+ ],
+ "𥋜": [
+ "ㄗㄡ1"
+ ],
+ "𥋝": [
+ "ㄇㄥ3"
+ ],
+ "𥋟": [
+ "ㄒㄧ1"
+ ],
+ "𥋡": [
+ "ㄊㄤ2"
+ ],
+ "𥋣": [
+ "ㄐㄧㄚ4"
+ ],
+ "𥋤": [
+ "ㄔㄤ2"
+ ],
+ "𥋥": [
+ "ㄐㄧ2"
+ ],
+ "𥋮": [
+ "ㄓㄨㄛ2"
+ ],
+ "𥋿": [
+ "ㄏㄜ4"
+ ],
+ "𥌀": [
+ "ㄔㄚ2"
+ ],
+ "𥌁": [
+ "ㄑㄧ4"
+ ],
+ "𥌂": [
+ "ㄇㄧㄢ2"
+ ],
+ "𥌃": [
+ "ㄓㄣ3"
+ ],
+ "𥌄": [
+ "ㄎㄨ1"
+ ],
+ "𥌅": [
+ "ㄧㄝ4"
+ ],
+ "𥌆": [
+ "ㄓㄡ1"
+ ],
+ "𥌈": [
+ "ㄐㄧㄢ1"
+ ],
+ "𥌊": [
+ "ㄆㄢ4"
+ ],
+ "𥌍": [
+ "ㄏㄨㄟ1"
+ ],
+ "𥌏": [
+ "ㄇㄧㄥ2"
+ ],
+ "𥌐": [
+ "ㄌㄧㄡ4"
+ ],
+ "𥌘": [
+ "ㄕㄨㄟ4"
+ ],
+ "𥌚": [
+ "ㄇㄞ4",
+ "ㄧㄚ2",
+ "ㄕㄨ4"
+ ],
+ "𥌛": [
+ "ㄌㄧ2"
+ ],
+ "𥌞": [
+ "ㄕㄨㄛ4"
+ ],
+ "𥌟": [
+ "ㄧ2"
+ ],
+ "𥌤": [
+ "ㄌㄧ4"
+ ],
+ "𥌨": [
+ "ㄒㄧㄝ1",
+ "ㄇㄧㄝ4"
+ ],
+ "𥌩": [
+ "ㄊㄜ4"
+ ],
+ "𥌪": [
+ "ㄒㄧㄡ1"
+ ],
+ "𥌭": [
+ "ㄒㄩㄢ4"
+ ],
+ "𥌮": [
+ "ㄌㄧ4"
+ ],
+ "𥌯": [
+ "ㄇㄥ2"
+ ],
+ "𥌰": [
+ "ㄨㄟ2"
+ ],
+ "𥌱": [
+ "ㄇㄥ2"
+ ],
+ "𥌺": [
+ "ㄧㄠ4"
+ ],
+ "𥌻": [
+ "ㄌㄢ2"
+ ],
+ "𥌼": [
+ "ㄌㄧㄥ2"
+ ],
+ "𥌽": [
+ "ㄧㄥ1"
+ ],
+ "𥌾": [
+ "ㄧㄥ1"
+ ],
+ "𥌿": [
+ "ㄌㄧ4"
+ ],
+ "𥍀": [
+ "ㄐㄧㄢ3"
+ ],
+ "𥍁": [
+ "ㄍㄨㄟ1",
+ "ㄍㄨㄟ4"
+ ],
+ "𥍅": [
+ "ㄍㄨㄢ1"
+ ],
+ "𥍆": [
+ "ㄒㄧㄝ4"
+ ],
+ "𥍉": [
+ "ㄕㄜ4"
+ ],
+ "𥍋": [
+ "ㄗㄨㄟ1",
+ "ㄒㄧㄝ1",
+ "ㄏㄨㄟ3"
+ ],
+ "𥍓": [
+ "ㄎㄢ4",
+ "ㄧㄢ3"
+ ],
+ "𥍔": [
+ "ㄌㄟ2"
+ ],
+ "𥍚": [
+ "ㄅㄧㄢ4"
+ ],
+ "𥍝": [
+ "ㄕㄨ3"
+ ],
+ "𥍞": [
+ "ㄋㄩ4"
+ ],
+ "𥍟": [
+ "ㄒㄩ4",
+ "ㄧ4"
+ ],
+ "𥍣": [
+ "ㄏㄠ4"
+ ],
+ "𥍨": [
+ "ㄍㄨㄟ3"
+ ],
+ "𥍪": [
+ "ㄓㄞ4"
+ ],
+ "𥍫": [
+ "ㄌㄤ2"
+ ],
+ "𥍬": [
+ "ㄘㄨㄢ1"
+ ],
+ "𥍭": [
+ "ㄓ4"
+ ],
+ "𥍮": [
+ "ㄈㄥ2",
+ "ㄈㄥ1"
+ ],
+ "𥍯": [
+ "ㄑㄧㄣ1"
+ ],
+ "𥍱": [
+ "ㄗㄜ2"
+ ],
+ "𥍲": [
+ "ㄋㄚ4"
+ ],
+ "𥍳": [
+ "ㄋㄧㄡ3"
+ ],
+ "𥍴": [
+ "ㄧ4"
+ ],
+ "𥍷": [
+ "ㄘㄨㄥ1"
+ ],
+ "𥍸": [
+ "ㄕ1"
+ ],
+ "𥍹": [
+ "ㄐㄧㄢ3"
+ ],
+ "𥍺": [
+ "ㄗㄨㄥ1"
+ ],
+ "𥍻": [
+ "ㄧㄢ3"
+ ],
+ "𥍼": [
+ "ㄧㄥ1"
+ ],
+ "𥎀": [
+ "ㄖㄨㄢ3"
+ ],
+ "𥎂": [
+ "ㄖㄨㄥ2"
+ ],
+ "𥎃": [
+ "ㄒㄧ4"
+ ],
+ "𥎅": [
+ "ㄍㄨㄢ1"
+ ],
+ "𥎆": [
+ "ㄎㄞ4"
+ ],
+ "𥎈": [
+ "ㄨ4"
+ ],
+ "𥎊": [
+ "ㄑㄧㄣ2"
+ ],
+ "𥎋": [
+ "ㄘㄨㄥ1"
+ ],
+ "𥎍": [
+ "ㄗㄜ2"
+ ],
+ "𥎎": [
+ "ㄒㄧㄝ4"
+ ],
+ "𥎐": [
+ "ㄩ4"
+ ],
+ "𥎑": [
+ "ㄗㄢ4"
+ ],
+ "𥎒": [
+ "ㄔㄨㄤ1"
+ ],
+ "𥎓": [
+ "ㄌㄧ3"
+ ],
+ "𥎔": [
+ "ㄌㄧ3"
+ ],
+ "𥎕": [
+ "ㄒㄩ4"
+ ],
+ "𥎖": [
+ "ㄇㄧ2"
+ ],
+ "𥎗": [
+ "ㄒㄩ4"
+ ],
+ "𥎘": [
+ "ㄖㄨㄢ3"
+ ],
+ "𥎛": [
+ "ㄍㄨㄟ4"
+ ],
+ "𥎜": [
+ "ㄖㄨㄥ3"
+ ],
+ "𥎟": [
+ "ㄇㄠ2"
+ ],
+ "𥎡": [
+ "ㄑㄧㄣ2"
+ ],
+ "𥎢": [
+ "ㄘㄨㄢ4"
+ ],
+ "𥎣": [
+ "ㄘㄨㄢ4"
+ ],
+ "𥎤": [
+ "ㄘㄨㄢ4"
+ ],
+ "𥎮": [
+ "ㄨ1"
+ ],
+ "𥎰": [
+ "ㄈㄚ3"
+ ],
+ "𥎱": [
+ "ㄅㄚ2"
+ ],
+ "𥎸": [
+ "ㄑㄧㄚ4"
+ ],
+ "𥎹": [
+ "ㄓ4"
+ ],
+ "𥎺": [
+ "ㄊㄧㄠ4"
+ ],
+ "𥏄": [
+ "ㄓ4"
+ ],
+ "𥏅": [
+ "ㄓ2"
+ ],
+ "𥏇": [
+ "ㄏㄨㄢ4"
+ ],
+ "𥏈": [
+ "ㄔㄡ2"
+ ],
+ "𥏊": [
+ "ㄓ4"
+ ],
+ "𥏎": [
+ "ㄧㄥ3"
+ ],
+ "𥏒": [
+ "ㄨ4"
+ ],
+ "𥏓": [
+ "ㄅㄟ1"
+ ],
+ "𥏕": [
+ "ㄏㄨㄥ2"
+ ],
+ "𥏖": [
+ "ㄕㄣ3"
+ ],
+ "𥏘": [
+ "ㄐㄩㄝ2"
+ ],
+ "𥏙": [
+ "ㄎㄨㄟ4"
+ ],
+ "𥏜": [
+ "ㄧ3"
+ ],
+ "𥏝": [
+ "ㄧㄚ4"
+ ],
+ "𥏠": [
+ "ㄅㄧ1"
+ ],
+ "𥏤": [
+ "ㄎㄨㄚ4"
+ ],
+ "𥏥": [
+ "ㄑㄧㄢ1"
+ ],
+ "𥏨": [
+ "ㄓㄠ1"
+ ],
+ "𥏪": [
+ "ㄎㄞ3"
+ ],
+ "𥏫": [
+ "ㄕㄤ1"
+ ],
+ "𥏮": [
+ "ㄢ4"
+ ],
+ "𥏯": [
+ "ㄓㄜ2"
+ ],
+ "𥏰": [
+ "ㄓ4"
+ ],
+ "𥏷": [
+ "ㄓ4"
+ ],
+ "𥏹": [
+ "ㄐㄧㄠ3"
+ ],
+ "𥐀": [
+ "ㄙ1"
+ ],
+ "𥐁": [
+ "ㄆㄨ2"
+ ],
+ "𥐂": [
+ "ㄡ3"
+ ],
+ "𥐊": [
+ "ㄓㄨㄛ2"
+ ],
+ "𥐑": [
+ "ㄧㄥ1"
+ ],
+ "𥐓": [
+ "ㄏㄨㄢ1"
+ ],
+ "𥐕": [
+ "ㄧㄚ4"
+ ],
+ "𥐘": [
+ "ㄕ2"
+ ],
+ "𥐙": [
+ "ㄆㄚ1",
+ "ㄅㄚ1"
+ ],
+ "𥐚": [
+ "ㄆㄨ3"
+ ],
+ "𥐞": [
+ "ㄇㄤ2"
+ ],
+ "𥐟": [
+ "ㄔㄞ1"
+ ],
+ "𥐩": [
+ "ㄩㄣ2"
+ ],
+ "𥐬": [
+ "ㄍㄨ3"
+ ],
+ "𥐹": [
+ "ㄉㄢ3"
+ ],
+ "𥐻": [
+ "ㄋㄠ2"
+ ],
+ "𥐽": [
+ "ㄓㄜ2"
+ ],
+ "𥐿": [
+ "ㄏㄨ2"
+ ],
+ "𥑅": [
+ "ㄎㄥ1"
+ ],
+ "𥑇": [
+ "ㄉㄧㄝ2"
+ ],
+ "𥑈": [
+ "ㄊㄧㄥ1"
+ ],
+ "𥑋": [
+ "ㄍㄨㄞ4"
+ ],
+ "𥑎": [
+ "ㄑㄩㄥ1"
+ ],
+ "𥑏": [
+ "ㄕ3"
+ ],
+ "𥑐": [
+ "ㄐㄧㄚ3"
+ ],
+ "𥑑": [
+ "ㄠ4"
+ ],
+ "𥑒": [
+ "ㄋㄚ3",
+ "ㄎㄥ1"
+ ],
+ "𥑓": [
+ "ㄆㄧㄣ3"
+ ],
+ "𥑔": [
+ "ㄐㄧㄚ2"
+ ],
+ "𥑡": [
+ "ㄓㄜ4"
+ ],
+ "𥑢": [
+ "ㄅㄨ4"
+ ],
+ "𥑣": [
+ "ㄨㄛ3"
+ ],
+ "𥑥": [
+ "ㄔㄚ3"
+ ],
+ "𥑪": [
+ "ㄋㄠ2"
+ ],
+ "𥑫": [
+ "ㄎㄢ1",
+ "ㄎㄢ3"
+ ],
+ "𥑯": [
+ "ㄉㄨ2"
+ ],
+ "𥑰": [
+ "ㄍㄨㄞ4"
+ ],
+ "𥑱": [
+ "ㄑㄩㄥ2"
+ ],
+ "𥑳": [
+ "ㄖㄨㄥ2"
+ ],
+ "𥑴": [
+ "ㄧ3"
+ ],
+ "𥑵": [
+ "ㄉㄨㄟ1"
+ ],
+ "𥑶": [
+ "ㄌㄟ3"
+ ],
+ "𥑸": [
+ "ㄓㄡ1"
+ ],
+ "𥑹": [
+ "ㄎㄨㄚ1"
+ ],
+ "𥑺": [
+ "ㄜ1"
+ ],
+ "𥑻": [
+ "ㄒㄧㄢ1"
+ ],
+ "𥑼": [
+ "ㄉㄧㄢ4"
+ ],
+ "𥑽": [
+ "ㄋㄨㄛ4"
+ ],
+ "𥑾": [
+ "ㄜ4"
+ ],
+ "𥑿": [
+ "ㄩㄥ1"
+ ],
+ "𥒀": [
+ "ㄨ4"
+ ],
+ "𥒁": [
+ "ㄎㄥ1"
+ ],
+ "𥒓": [
+ "ㄓ4"
+ ],
+ "𥒗": [
+ "ㄓ3"
+ ],
+ "𥒘": [
+ "ㄒㄩㄣ2"
+ ],
+ "𥒛": [
+ "ㄓㄥ4"
+ ],
+ "𥒞": [
+ "ㄧㄤ2"
+ ],
+ "𥒠": [
+ "ㄏㄨㄛ4"
+ ],
+ "𥒡": [
+ "ㄐㄧ2"
+ ],
+ "𥒢": [
+ "ㄋㄠ3",
+ "ㄌㄧ4"
+ ],
+ "𥒧": [
+ "ㄧㄚ4"
+ ],
+ "𥒨": [
+ "ㄌㄨ4"
+ ],
+ "𥒫": [
+ "ㄈㄨ1"
+ ],
+ "𥒬": [
+ "ㄙㄢ3"
+ ],
+ "𥒭": [
+ "ㄔㄨ4"
+ ],
+ "𥒮": [
+ "ㄨㄟ3"
+ ],
+ "𥒰": [
+ "ㄈㄨ3"
+ ],
+ "𥒱": [
+ "ㄎㄥ1"
+ ],
+ "𥒲": [
+ "ㄙ4"
+ ],
+ "𥒳": [
+ "ㄎㄤ4"
+ ],
+ "𥒵": [
+ "ㄧ4"
+ ],
+ "𥒶": [
+ "ㄏㄨㄚ4"
+ ],
+ "𥒾": [
+ "ㄩ3"
+ ],
+ "𥓃": [
+ "ㄌㄧ4"
+ ],
+ "𥓆": [
+ "ㄌㄧㄣ3"
+ ],
+ "𥓇": [
+ "ㄉㄨ3"
+ ],
+ "𥓈": [
+ "ㄜ4"
+ ],
+ "𥓌": [
+ "ㄑㄧㄤ3"
+ ],
+ "𥓍": [
+ "ㄉㄨ2"
+ ],
+ "𥓐": [
+ "ㄐㄧㄝ2"
+ ],
+ "𥓑": [
+ "ㄔㄨㄛ4"
+ ],
+ "𥓒": [
+ "ㄒㄧㄢ4",
+ "ㄎㄢ4"
+ ],
+ "𥓖": [
+ "ㄍㄠ3"
+ ],
+ "𥓬": [
+ "ㄉㄠ4"
+ ],
+ "𥓰": [
+ "ㄏㄨㄥ1"
+ ],
+ "𥓻": [
+ "ㄗㄨㄥ1"
+ ],
+ "𥓾": [
+ "ㄑㄧ4"
+ ],
+ "𥓿": [
+ "ㄊㄨㄛ2"
+ ],
+ "𥔀": [
+ "ㄏㄨㄥ1"
+ ],
+ "𥔁": [
+ "ㄆㄧ3"
+ ],
+ "𥔂": [
+ "ㄍㄥ4"
+ ],
+ "𥔄": [
+ "ㄋㄧㄝ4"
+ ],
+ "𥔇": [
+ "ㄎㄨㄥ1"
+ ],
+ "𥔊": [
+ "ㄓ3"
+ ],
+ "𥔑": [
+ "ㄒㄧㄠ3"
+ ],
+ "𥔡": [
+ "ㄕㄜ4"
+ ],
+ "𥔢": [
+ "ㄩ2"
+ ],
+ "𥔣": [
+ "ㄐㄧㄤ1"
+ ],
+ "𥔩": [
+ "ㄑㄧ3"
+ ],
+ "𥔪": [
+ "ㄔㄣ3"
+ ],
+ "𥔫": [
+ "ㄙㄤ3"
+ ],
+ "𥔭": [
+ "ㄙㄨㄛ3"
+ ],
+ "𥔮": [
+ "ㄑㄧㄢ2"
+ ],
+ "𥔯": [
+ "ㄏㄨㄟ4"
+ ],
+ "𥔱": [
+ "ㄕㄢ4"
+ ],
+ "𥔲": [
+ "ㄜ4"
+ ],
+ "𥔻": [
+ "ㄑㄧㄡ1"
+ ],
+ "𥔽": [
+ "ㄎㄜ4"
+ ],
+ "𥕀": [
+ "ㄨㄥ1"
+ ],
+ "𥕁": [
+ "ㄗ1"
+ ],
+ "𥕂": [
+ "ㄐㄧ2"
+ ],
+ "𥕇": [
+ "ㄉㄚ3"
+ ],
+ "𥕉": [
+ "ㄘㄨㄛ4"
+ ],
+ "𥕍": [
+ "ㄌㄡ3"
+ ],
+ "𥕎": [
+ "ㄎㄤ1"
+ ],
+ "𥕏": [
+ "ㄎㄨㄛ4"
+ ],
+ "𥕐": [
+ "ㄉㄧ2"
+ ],
+ "𥕑": [
+ "ㄑㄧㄝ1",
+ "ㄐㄩ1"
+ ],
+ "𥕓": [
+ "ㄇㄛ4"
+ ],
+ "𥕖": [
+ "ㄍㄨㄛ3"
+ ],
+ "𥕗": [
+ "ㄏㄨㄥ1"
+ ],
+ "𥕘": [
+ "ㄔㄠ2",
+ "ㄙㄨㄛ3"
+ ],
+ "𥕙": [
+ "ㄏㄟ1"
+ ],
+ "𥕢": [
+ "ㄘㄠ2"
+ ],
+ "𥕣": [
+ "ㄓㄜ2"
+ ],
+ "𥕦": [
+ "ㄍㄨㄣ3"
+ ],
+ "𥕰": [
+ "ㄒㄩ1"
+ ],
+ "𥕱": [
+ "ㄆㄥ2",
+ "ㄆㄥ1"
+ ],
+ "𥕲": [
+ "ㄐㄩㄝ2"
+ ],
+ "𥕵": [
+ "ㄍㄢ3"
+ ],
+ "𥕶": [
+ "ㄙ1"
+ ],
+ "𥕸": [
+ "ㄙㄨㄟ4"
+ ],
+ "𥕹": [
+ "ㄑㄩㄝ4"
+ ],
+ "𥕻": [
+ "ㄨ2",
+ "ㄨ3"
+ ],
+ "𥕼": [
+ "ㄧㄢ2"
+ ],
+ "𥕽": [
+ "ㄆㄥ4"
+ ],
+ "𥕾": [
+ "ㄒㄧㄠ3"
+ ],
+ "𥕿": [
+ "ㄆㄢ1"
+ ],
+ "𥖍": [
+ "ㄌㄚ4"
+ ],
+ "𥖗": [
+ "ㄅㄥ4"
+ ],
+ "𥖘": [
+ "ㄓㄣ3"
+ ],
+ "𥖙": [
+ "ㄐㄧ2"
+ ],
+ "𥖜": [
+ "ㄐㄧㄣ3"
+ ],
+ "𥖝": [
+ "ㄌㄧㄢ2"
+ ],
+ "𥖞": [
+ "ㄎㄣ3"
+ ],
+ "𥖠": [
+ "ㄓㄡ2",
+ "ㄉㄨ2"
+ ],
+ "𥖨": [
+ "ㄗㄠ4"
+ ],
+ "𥖪": [
+ "ㄌㄜ4"
+ ],
+ "𥖫": [
+ "ㄑㄧ1"
+ ],
+ "𥖬": [
+ "ㄅㄧㄥ4"
+ ],
+ "𥖵": [
+ "ㄧㄣ3"
+ ],
+ "𥖶": [
+ "ㄆㄧㄣ1"
+ ],
+ "𥖻": [
+ "ㄙㄡ3"
+ ],
+ "𥖼": [
+ "ㄌㄩ4"
+ ],
+ "𥖾": [
+ "ㄉㄧ2"
+ ],
+ "𥖿": [
+ "ㄉㄨ2"
+ ],
+ "𥗀": [
+ "ㄌㄧㄠ3"
+ ],
+ "𥗁": [
+ "ㄓㄨㄛ2"
+ ],
+ "𥗊": [
+ "ㄔㄤ3"
+ ],
+ "𥗒": [
+ "ㄔㄣ4"
+ ],
+ "𥗓": [
+ "ㄊㄚ4"
+ ],
+ "𥗙": [
+ "ㄑㄩㄝ4"
+ ],
+ "𥗚": [
+ "ㄉㄠ4"
+ ],
+ "𥗝": [
+ "ㄖㄤ3"
+ ],
+ "𥗟": [
+ "ㄆㄛ4"
+ ],
+ "𥗦": [
+ "ㄓㄨㄥ1"
+ ],
+ "𥗧": [
+ "ㄒㄧㄝ1"
+ ],
+ "𥗪": [
+ "ㄐㄧㄤ1"
+ ],
+ "𥗫": [
+ "ㄑㄩ2"
+ ],
+ "𥗬": [
+ "ㄌㄟ3"
+ ],
+ "𥗭": [
+ "ㄘㄚ4"
+ ],
+ "𥗮": [
+ "ㄑㄩㄝ1"
+ ],
+ "𥗵": [
+ "ㄒㄧㄤ4"
+ ],
+ "𥗶": [
+ "ㄌㄟ4"
+ ],
+ "𥗺": [
+ "ㄌㄢ4"
+ ],
+ "𥗽": [
+ "ㄌㄢ2"
+ ],
+ "𥗿": [
+ "ㄌㄚ3"
+ ],
+ "𥘁": [
+ "ㄌㄚ3"
+ ],
+ "𥘄": [
+ "ㄩ4"
+ ],
+ "𥘊": [
+ "ㄐㄧㄠ4"
+ ],
+ "𥘋": [
+ "ㄑㄧㄣ2"
+ ],
+ "𥘌": [
+ "ㄐㄧ1"
+ ],
+ "𥘏": [
+ "ㄍㄢ3"
+ ],
+ "𥘒": [
+ "ㄧ4"
+ ],
+ "𥘠": [
+ "ㄧ4"
+ ],
+ "𥘡": [
+ "ㄓ1"
+ ],
+ "𥘤": [
+ "ㄅㄧㄠ3"
+ ],
+ "𥘥": [
+ "ㄕㄥ1"
+ ],
+ "𥘦": [
+ "ㄐㄧㄡ4",
+ "ㄕㄜ4"
+ ],
+ "𥘫": [
+ "ㄏㄜ1"
+ ],
+ "𥘬": [
+ "ㄈㄨ2"
+ ],
+ "𥘮": [
+ "ㄐㄩ1"
+ ],
+ "𥙀": [
+ "ㄗㄨㄛ3"
+ ],
+ "𥙁": [
+ "ㄧ2"
+ ],
+ "𥙆": [
+ "ㄒㄧㄢ4",
+ "ㄓ1"
+ ],
+ "𥙇": [
+ "ㄧ2"
+ ],
+ "𥙉": [
+ "ㄙ4",
+ "ㄊㄞ2"
+ ],
+ "𥙋": [
+ "ㄔㄨㄟ4"
+ ],
+ "𥙎": [
+ "ㄇㄛ4"
+ ],
+ "𥙡": [
+ "ㄓㄢ1"
+ ],
+ "𥙣": [
+ "ㄒㄩㄣ2"
+ ],
+ "𥙦": [
+ "ㄖㄨ2"
+ ],
+ "𥙨": [
+ "ㄏㄨㄛ4"
+ ],
+ "𥙬": [
+ "ㄕㄠ1"
+ ],
+ "𥙰": [
+ "ㄕㄡ4"
+ ],
+ "𥙾": [
+ "ㄧㄡ4"
+ ],
+ "𥙿": [
+ "ㄩ4"
+ ],
+ "𥚂": [
+ "ㄐㄩㄣ4"
+ ],
+ "𥚉": [
+ "ㄗ1"
+ ],
+ "𥚊": [
+ "ㄌㄨ4"
+ ],
+ "𥚚": [
+ "ㄔ3"
+ ],
+ "𥚛": [
+ "ㄎㄨㄣ1"
+ ],
+ "𥚠": [
+ "ㄓㄨㄣ4"
+ ],
+ "𥚦": [
+ "ㄏㄡ2"
+ ],
+ "𥚩": [
+ "ㄒㄩ3"
+ ],
+ "𥚾": [
+ "ㄗㄨㄥ1"
+ ],
+ "𥚿": [
+ "ㄧㄥ4"
+ ],
+ "𥛂": [
+ "ㄓㄨ1"
+ ],
+ "𥛅": [
+ "ㄌㄧㄡ4"
+ ],
+ "𥛑": [
+ "ㄋㄨ4"
+ ],
+ "𥛘": [
+ "ㄅㄧ4"
+ ],
+ "𥛚": [
+ "ㄔ4"
+ ],
+ "𥛜": [
+ "ㄗㄨ3"
+ ],
+ "𥛝": [
+ "ㄈㄥ2"
+ ],
+ "𥛞": [
+ "ㄌㄨ4"
+ ],
+ "𥛟": [
+ "ㄆㄨ3"
+ ],
+ "𥛥": [
+ "ㄓㄨㄢ4"
+ ],
+ "𥛧": [
+ "ㄓㄜ2"
+ ],
+ "𥛨": [
+ "ㄕ1"
+ ],
+ "𥛩": [
+ "ㄩ3"
+ ],
+ "𥛪": [
+ "ㄌㄨ4"
+ ],
+ "𥛫": [
+ "ㄌㄧㄤ2"
+ ],
+ "𥛯": [
+ "ㄐㄩㄝ2"
+ ],
+ "𥛰": [
+ "ㄌㄧㄠ4"
+ ],
+ "𥛱": [
+ "ㄅㄥ1"
+ ],
+ "𥜃": [
+ "ㄧ4"
+ ],
+ "𥜄": [
+ "ㄍㄨㄢ1"
+ ],
+ "𥜌": [
+ "ㄠ3"
+ ],
+ "𥜏": [
+ "ㄍㄨㄟ4"
+ ],
+ "𥜐": [
+ "ㄇㄧㄣ3"
+ ],
+ "𥜒": [
+ "ㄧㄢ3"
+ ],
+ "𥜓": [
+ "ㄌㄢ2"
+ ],
+ "𥜖": [
+ "ㄅㄛ2"
+ ],
+ "𥜙": [
+ "ㄗㄢ4"
+ ],
+ "𥜚": [
+ "ㄧㄡ3"
+ ],
+ "𥜥": [
+ "ㄧ4"
+ ],
+ "𥜦": [
+ "ㄋㄧ3",
+ "ㄒㄧㄢ3"
+ ],
+ "𥜬": [
+ "ㄋㄧ3",
+ "ㄒㄧㄢ3"
+ ],
+ "𥜭": [
+ "ㄍㄨㄛ3"
+ ],
+ "𥜮": [
+ "ㄐㄩㄣ4"
+ ],
+ "𥜰": [
+ "ㄕ1"
+ ],
+ "𥜲": [
+ "ㄒㄧㄢ3",
+ "ㄐㄧㄢ3"
+ ],
+ "𥜴": [
+ "ㄑㄧㄢ1"
+ ],
+ "𥜵": [
+ "ㄑㄩㄝ4"
+ ],
+ "𥜶": [
+ "ㄎㄨㄟ2"
+ ],
+ "𥝀": [
+ "ㄕㄜ2"
+ ],
+ "𥝂": [
+ "ㄏㄨㄛ4"
+ ],
+ "𥝄": [
+ "ㄨㄢ4"
+ ],
+ "𥝊": [
+ "ㄈㄟ4"
+ ],
+ "𥝋": [
+ "ㄈㄟ4"
+ ],
+ "𥝌": [
+ "ㄐㄧ1"
+ ],
+ "𥝍": [
+ "ㄩ4",
+ "ㄨㄤ2"
+ ],
+ "𥝑": [
+ "ㄓ1"
+ ],
+ "𥝒": [
+ "ㄍㄨㄚ4"
+ ],
+ "𥝔": [
+ "ㄐㄧㄝ2"
+ ],
+ "𥝕": [
+ "ㄇㄤ2"
+ ],
+ "𥝖": [
+ "ㄏㄜ2",
+ "ㄒㄧㄝ2"
+ ],
+ "𥝘": [
+ "ㄧㄡ3"
+ ],
+ "𥝟": [
+ "ㄉㄨ4"
+ ],
+ "𥝠": [
+ "ㄙ1",
+ "ㄒㄧㄡ4"
+ ],
+ "𥝢": [
+ "ㄌㄧ4"
+ ],
+ "𥝥": [
+ "ㄐㄧㄝ2"
+ ],
+ "𥝦": [
+ "ㄋㄧㄡ3"
+ ],
+ "𥝧": [
+ "ㄅㄚ4"
+ ],
+ "𥝨": [
+ "ㄩ2"
+ ],
+ "𥝮": [
+ "ㄓ1"
+ ],
+ "𥝸": [
+ "ㄏㄜ2"
+ ],
+ "𥝹": [
+ "ㄎㄜ1"
+ ],
+ "𥝾": [
+ "ㄉㄨ4",
+ "ㄓㄚ4"
+ ],
+ "𥝿": [
+ "ㄐㄧㄚ1"
+ ],
+ "𥞁": [
+ "ㄔㄣ1"
+ ],
+ "𥞃": [
+ "ㄔㄨㄟ4",
+ "ㄕㄨ4"
+ ],
+ "𥞄": [
+ "ㄏㄜ2"
+ ],
+ "𥞅": [
+ "ㄓㄞ3"
+ ],
+ "𥞊": [
+ "ㄇㄟ4"
+ ],
+ "𥞍": [
+ "ㄏㄜ2"
+ ],
+ "𥞎": [
+ "ㄗ3"
+ ],
+ "𥞏": [
+ "ㄓㄨ2"
+ ],
+ "𥞒": [
+ "ㄊㄨㄛ2"
+ ],
+ "𥞘": [
+ "ㄗㄨㄣ4"
+ ],
+ "𥞚": [
+ "ㄖㄨ2"
+ ],
+ "𥞛": [
+ "ㄉㄨㄛ4"
+ ],
+ "𥞜": [
+ "ㄐㄧㄤ4"
+ ],
+ "𥞧": [
+ "ㄏㄥ2"
+ ],
+ "𥞩": [
+ "ㄅㄥ1",
+ "ㄏㄜ2"
+ ],
+ "𥞪": [
+ "ㄇㄛ4",
+ "ㄇㄧ3"
+ ],
+ "𥞯": [
+ "ㄗㄨ2"
+ ],
+ "𥞲": [
+ "ㄅㄧㄝ1"
+ ],
+ "𥞴": [
+ "ㄎㄨ4"
+ ],
+ "𥞵": [
+ "ㄐㄧㄚ2"
+ ],
+ "𥞺": [
+ "ㄓㄨㄛ1"
+ ],
+ "𥞼": [
+ "ㄒㄧㄡ1"
+ ],
+ "𥟃": [
+ "ㄏㄜ2"
+ ],
+ "𥟅": [
+ "ㄑㄧㄠ1"
+ ],
+ "𥟍": [
+ "ㄈㄟ3"
+ ],
+ "𥟎": [
+ "ㄕㄥ1"
+ ],
+ "𥟒": [
+ "ㄓㄨㄟ4"
+ ],
+ "𥟓": [
+ "ㄎㄨㄢ3"
+ ],
+ "𥟔": [
+ "ㄗㄜ4"
+ ],
+ "𥟕": [
+ "ㄒㄧㄢ1"
+ ],
+ "𥟗": [
+ "ㄅㄧ4"
+ ],
+ "𥟘": [
+ "ㄧ4"
+ ],
+ "𥟚": [
+ "ㄔㄤ4"
+ ],
+ "𥟪": [
+ "ㄇㄠ4"
+ ],
+ "𥟶": [
+ "ㄨㄢ3"
+ ],
+ "𥟽": [
+ "ㄨ1"
+ ],
+ "𥟾": [
+ "ㄎㄨ1"
+ ],
+ "𥟿": [
+ "ㄨㄛ3"
+ ],
+ "𥠀": [
+ "ㄒㄧㄥ1"
+ ],
+ "𥠁": [
+ "ㄎㄜ1"
+ ],
+ "𥠃": [
+ "ㄐㄧㄡ1"
+ ],
+ "𥠄": [
+ "ㄉㄨㄢ1"
+ ],
+ "𥠅": [
+ "ㄏㄨㄢ4"
+ ],
+ "𥠈": [
+ "ㄓ4",
+ "ㄐㄧ4"
+ ],
+ "𥠉": [
+ "ㄘㄜ4"
+ ],
+ "𥠊": [
+ "ㄖㄡ2"
+ ],
+ "𥠋": [
+ "ㄐㄧ2"
+ ],
+ "𥠍": [
+ "ㄧㄝ4"
+ ],
+ "𥠛": [
+ "ㄐㄧㄥ1"
+ ],
+ "𥠜": [
+ "ㄧㄤ4"
+ ],
+ "𥠡": [
+ "ㄗㄨㄥ3"
+ ],
+ "𥠩": [
+ "ㄘㄢ3"
+ ],
+ "𥠱": [
+ "ㄙ1"
+ ],
+ "𥠲": [
+ "ㄌㄧ4"
+ ],
+ "𥠳": [
+ "ㄍㄨ3"
+ ],
+ "𥠴": [
+ "ㄔㄤ4"
+ ],
+ "𥠶": [
+ "ㄈㄟ3"
+ ],
+ "𥠷": [
+ "ㄌㄧㄡ2"
+ ],
+ "𥠹": [
+ "ㄐㄧㄝ2"
+ ],
+ "𥠺": [
+ "ㄩㄣ1"
+ ],
+ "𥠽": [
+ "ㄓ4"
+ ],
+ "𥡀": [
+ "ㄔㄡ2"
+ ],
+ "𥡁": [
+ "ㄅㄧㄝ1"
+ ],
+ "𥡒": [
+ "ㄐㄧ1"
+ ],
+ "𥡜": [
+ "ㄌㄨㄛ2",
+ "ㄙㄨㄟ4"
+ ],
+ "𥡝": [
+ "ㄐㄧㄢ1",
+ "ㄑㄧㄢ1"
+ ],
+ "𥡟": [
+ "ㄔㄨㄤ1"
+ ],
+ "𥡠": [
+ "ㄕㄨㄤ3"
+ ],
+ "𥡢": [
+ "ㄌㄩ4"
+ ],
+ "𥡣": [
+ "ㄐㄩㄣ4"
+ ],
+ "𥡤": [
+ "ㄐㄧㄠ4"
+ ],
+ "𥡦": [
+ "ㄊㄧ4",
+ "ㄉㄧ4"
+ ],
+ "𥡧": [
+ "ㄓㄚ1"
+ ],
+ "𥡪": [
+ "ㄧ4"
+ ],
+ "𥡬": [
+ "ㄘㄨㄥ1"
+ ],
+ "𥡭": [
+ "ㄋㄟ3"
+ ],
+ "𥡮": [
+ "ㄐㄧㄚ1"
+ ],
+ "𥡴": [
+ "ㄐㄧ4"
+ ],
+ "𥡽": [
+ "ㄞ4"
+ ],
+ "𥢇": [
+ "ㄐㄧㄢ3"
+ ],
+ "𥢊": [
+ "ㄅㄣ4"
+ ],
+ "𥢌": [
+ "ㄈㄢ2"
+ ],
+ "𥢍": [
+ "ㄏㄨ4",
+ "ㄙㄨㄟ4"
+ ],
+ "𥢎": [
+ "ㄗㄨㄣ4"
+ ],
+ "𥢏": [
+ "ㄉㄧㄢ4"
+ ],
+ "𥢐": [
+ "ㄍㄠ1"
+ ],
+ "𥢑": [
+ "ㄍㄠ3",
+ "ㄏㄠ4"
+ ],
+ "𥢒": [
+ "ㄌㄠ2",
+ "ㄌㄠ4"
+ ],
+ "𥢔": [
+ "ㄓㄨㄛ2",
+ "ㄓㄠ4"
+ ],
+ "𥢟": [
+ "ㄏㄨ4"
+ ],
+ "𥢢": [
+ "ㄊㄨㄟ2"
+ ],
+ "𥢦": [
+ "ㄅㄧ4"
+ ],
+ "𥢧": [
+ "ㄐㄩ2",
+ "ㄧ4"
+ ],
+ "𥢮": [
+ "ㄏㄨㄚ2"
+ ],
+ "𥢲": [
+ "ㄔㄥ2"
+ ],
+ "𥢶": [
+ "ㄎㄨㄞ4"
+ ],
+ "𥢷": [
+ "ㄉㄤ1"
+ ],
+ "𥢸": [
+ "ㄍㄜ2"
+ ],
+ "𥢹": [
+ "ㄒㄧㄝ2"
+ ],
+ "𥢻": [
+ "ㄐㄧㄝ2"
+ ],
+ "𥢽": [
+ "ㄘㄢ1"
+ ],
+ "𥣆": [
+ "ㄗㄨ2"
+ ],
+ "𥣈": [
+ "ㄆㄨ2"
+ ],
+ "𥣋": [
+ "ㄕㄨ3"
+ ],
+ "𥣌": [
+ "ㄅㄨ3"
+ ],
+ "𥣗": [
+ "ㄋㄧㄥ2"
+ ],
+ "𥣘": [
+ "ㄧㄢ3"
+ ],
+ "𥣙": [
+ "ㄓㄡ4",
+ "ㄘㄨㄥ4"
+ ],
+ "𥣛": [
+ "ㄇㄥ2"
+ ],
+ "𥣝": [
+ "ㄅㄧㄢ3"
+ ],
+ "𥣟": [
+ "ㄒㄧㄤ4"
+ ],
+ "𥣤": [
+ "ㄌㄨ4"
+ ],
+ "𥣥": [
+ "ㄌㄧ2"
+ ],
+ "𥣩": [
+ "ㄐㄧ4"
+ ],
+ "𥣫": [
+ "ㄇㄧㄝ4"
+ ],
+ "𥣬": [
+ "ㄌㄟ4"
+ ],
+ "𥣮": [
+ "ㄓ4"
+ ],
+ "𥣯": [
+ "ㄧㄡ1"
+ ],
+ "𥣰": [
+ "ㄅㄧㄢ3"
+ ],
+ "𥣸": [
+ "ㄇㄨ4"
+ ],
+ "𥣹": [
+ "ㄖㄢ4"
+ ],
+ "𥣺": [
+ "ㄖㄢ4"
+ ],
+ "𥤂": [
+ "ㄋㄧㄠ3"
+ ],
+ "𥤊": [
+ "ㄑㄩㄢ2"
+ ],
+ "𥤋": [
+ "ㄓㄜ2"
+ ],
+ "𥤐": [
+ "ㄌㄟ4",
+ "ㄌㄟ2"
+ ],
+ "𥤗": [
+ "ㄉㄤ3"
+ ],
+ "𥤘": [
+ "ㄐㄩㄝ2"
+ ],
+ "𥤜": [
+ "ㄌㄧㄥ2"
+ ],
+ "𥤞": [
+ "ㄌㄧㄥ2"
+ ],
+ "𥤟": [
+ "ㄧㄢ2"
+ ],
+ "𥤣": [
+ "ㄧㄠ3"
+ ],
+ "𥤤": [
+ "ㄓㄣ4"
+ ],
+ "𥤥": [
+ "ㄑㄧ1"
+ ],
+ "𥤦": [
+ "ㄞ4"
+ ],
+ "𥤨": [
+ "ㄋㄨ2"
+ ],
+ "𥤩": [
+ "ㄇㄤ3"
+ ],
+ "𥤱": [
+ "ㄎㄢ3",
+ "ㄏㄢ1"
+ ],
+ "𥤳": [
+ "ㄐㄧㄡ1",
+ "ㄘㄨㄢ4"
+ ],
+ "𥤴": [
+ "ㄧㄢ3"
+ ],
+ "𥤵": [
+ "ㄇㄧㄢ4"
+ ],
+ "𥤷": [
+ "ㄧㄣ2"
+ ],
+ "𥤸": [
+ "ㄨㄢ2"
+ ],
+ "𥤹": [
+ "ㄧㄠ4",
+ "ㄧㄠ3"
+ ],
+ "𥤺": [
+ "ㄨㄚ1"
+ ],
+ "𥤻": [
+ "ㄆㄧ2"
+ ],
+ "𥤼": [
+ "ㄙㄨㄟ4"
+ ],
+ "𥥅": [
+ "ㄎㄨㄥ3"
+ ],
+ "𥥈": [
+ "ㄏㄨㄥ2",
+ "ㄨㄥ4"
+ ],
+ "𥥊": [
+ "ㄇㄧㄥ3"
+ ],
+ "𥥋": [
+ "ㄌㄧㄥ2"
+ ],
+ "𥥌": [
+ "ㄧ4",
+ "ㄉㄧㄝ2"
+ ],
+ "𥥍": [
+ "ㄕㄣ1",
+ "ㄕㄣ4"
+ ],
+ "𥥏": [
+ "ㄗㄨㄛ4"
+ ],
+ "𥥛": [
+ "ㄊㄨ1",
+ "ㄅㄚ2"
+ ],
+ "𥥝": [
+ "ㄩㄥ4"
+ ],
+ "𥥟": [
+ "ㄨㄚ4"
+ ],
+ "𥥠": [
+ "ㄍㄨㄟ3"
+ ],
+ "𥥡": [
+ "ㄏㄨㄥ4"
+ ],
+ "𥥥": [
+ "ㄕ4"
+ ],
+ "𥥧": [
+ "ㄒㄩㄥ4"
+ ],
+ "𥥩": [
+ "ㄚ1",
+ "ㄒㄧㄤ4"
+ ],
+ "𥥱": [
+ "ㄔㄥ2"
+ ],
+ "𥥳": [
+ "ㄎㄥ1"
+ ],
+ "𥥴": [
+ "ㄧ4"
+ ],
+ "𥥵": [
+ "ㄧㄤ4"
+ ],
+ "𥥶": [
+ "ㄊㄧㄥ2"
+ ],
+ "𥥷": [
+ "ㄉㄡ4"
+ ],
+ "𥥸": [
+ "ㄔㄚ2"
+ ],
+ "𥥹": [
+ "ㄌㄧㄡ4"
+ ],
+ "𥥽": [
+ "ㄑㄧㄡ2"
+ ],
+ "𥥾": [
+ "ㄒㄩㄢ3"
+ ],
+ "𥥿": [
+ "ㄕㄣ1"
+ ],
+ "𥦀": [
+ "ㄎㄨㄢ1",
+ "ㄇㄧ4"
+ ],
+ "𥦁": [
+ "ㄊㄨㄥ4"
+ ],
+ "𥦃": [
+ "ㄑㄧㄢ3"
+ ],
+ "𥦅": [
+ "ㄔㄡ4"
+ ],
+ "𥦊": [
+ "ㄨㄣ3"
+ ],
+ "𥦌": [
+ "ㄌㄨㄥ4"
+ ],
+ "𥦍": [
+ "ㄢ3",
+ "ㄧㄢ3"
+ ],
+ "𥦔": [
+ "ㄎㄢ3"
+ ],
+ "𥦖": [
+ "ㄧㄠ3"
+ ],
+ "𥦘": [
+ "ㄈㄨ2"
+ ],
+ "𥦜": [
+ "ㄅㄥ4"
+ ],
+ "𥦝": [
+ "ㄌㄢ3"
+ ],
+ "𥦞": [
+ "ㄑㄧㄚ4"
+ ],
+ "𥦟": [
+ "ㄉㄧㄢ4"
+ ],
+ "𥦢": [
+ "ㄐㄧㄠ4"
+ ],
+ "𥦣": [
+ "ㄍㄨㄟ1"
+ ],
+ "𥦥": [
+ "ㄒㄩㄥ4"
+ ],
+ "𥦨": [
+ "ㄎㄜ4"
+ ],
+ "𥦶": [
+ "ㄒㄧㄢ4"
+ ],
+ "𥦷": [
+ "ㄨㄥ4"
+ ],
+ "𥧂": [
+ "ㄍㄨㄥ3"
+ ],
+ "𥧆": [
+ "ㄡ3"
+ ],
+ "𥧇": [
+ "ㄎㄜ1",
+ "ㄔㄠ2"
+ ],
+ "𥧋": [
+ "ㄎㄨ1"
+ ],
+ "𥧑": [
+ "ㄊㄧㄢ2",
+ "ㄉㄧㄢ1",
+ "ㄧㄢ3",
+ "ㄔㄢ3"
+ ],
+ "𥧒": [
+ "ㄍㄡ4"
+ ],
+ "𥧓": [
+ "ㄇㄚ3"
+ ],
+ "𥧕": [
+ "ㄌㄧㄡ4"
+ ],
+ "𥧙": [
+ "ㄨㄟ4"
+ ],
+ "𥧚": [
+ "ㄨㄣ3"
+ ],
+ "𥧡": [
+ "ㄍㄨㄥ4"
+ ],
+ "𥧣": [
+ "ㄊㄨ2"
+ ],
+ "𥧤": [
+ "ㄋㄧㄥ2"
+ ],
+ "𥧧": [
+ "ㄇㄧ4"
+ ],
+ "𥧫": [
+ "ㄌㄤ2"
+ ],
+ "𥧬": [
+ "ㄑㄧㄢ3"
+ ],
+ "𥧭": [
+ "ㄇㄢ2"
+ ],
+ "𥧮": [
+ "ㄓㄜ2"
+ ],
+ "𥧰": [
+ "ㄏㄨㄚ4"
+ ],
+ "𥧱": [
+ "ㄩㄥ1"
+ ],
+ "𥧲": [
+ "ㄐㄧㄣ4",
+ "ㄐㄧㄣ3"
+ ],
+ "𥧴": [
+ "ㄇㄟ4"
+ ],
+ "𥧷": [
+ "ㄈㄨ2"
+ ],
+ "𥧻": [
+ "ㄑㄩ2"
+ ],
+ "𥨌": [
+ "ㄌㄧㄡ4"
+ ],
+ "𥨍": [
+ "ㄈㄨ4"
+ ],
+ "𥨎": [
+ "ㄉㄢ4"
+ ],
+ "𥨐": [
+ "ㄍㄨㄥ3"
+ ],
+ "𥨒": [
+ "ㄘㄨㄟ4",
+ "ㄘㄨㄢ4"
+ ],
+ "𥨕": [
+ "ㄒㄧㄥ3"
+ ],
+ "𥨜": [
+ "ㄊㄨ1"
+ ],
+ "𥨝": [
+ "ㄕㄡ4"
+ ],
+ "𥨪": [
+ "ㄑㄩㄥ2"
+ ],
+ "𥨳": [
+ "ㄖㄨㄥ2"
+ ],
+ "𥨻": [
+ "ㄌㄧ4"
+ ],
+ "𥨿": [
+ "ㄐㄧ1"
+ ],
+ "𥩀": [
+ "ㄊㄨㄛ4"
+ ],
+ "𥩌": [
+ "ㄊㄨㄥ2"
+ ],
+ "𥩒": [
+ "ㄊㄢ2"
+ ],
+ "𥩔": [
+ "ㄌㄧㄥ2"
+ ],
+ "𥩖": [
+ "ㄧ4"
+ ],
+ "𥩗": [
+ "ㄖㄨㄢ3"
+ ],
+ "𥩙": [
+ "ㄆㄚ3"
+ ],
+ "𥩝": [
+ "ㄘㄚ4"
+ ],
+ "𥩡": [
+ "ㄩㄝ4"
+ ],
+ "𥩢": [
+ "ㄑㄩㄝ4"
+ ],
+ "𥩣": [
+ "ㄓㄨ4"
+ ],
+ "𥩤": [
+ "ㄏㄞ4"
+ ],
+ "𥩱": [
+ "ㄈㄚ2"
+ ],
+ "𥩲": [
+ "ㄏㄞ4"
+ ],
+ "𥪀": [
+ "ㄅㄨ1"
+ ],
+ "𥪁": [
+ "ㄆㄧㄥ1"
+ ],
+ "𥪂": [
+ "ㄌㄧㄝ4"
+ ],
+ "𥪊": [
+ "ㄎㄨㄟ3",
+ "ㄐㄩㄝ2"
+ ],
+ "𥪋": [
+ "ㄈㄨ2"
+ ],
+ "𥪌": [
+ "ㄊㄧㄢ3"
+ ],
+ "𥪍": [
+ "ㄨㄛ4"
+ ],
+ "𥪏": [
+ "ㄐㄩ1"
+ ],
+ "𥪘": [
+ "ㄓㄣ1"
+ ],
+ "𥪚": [
+ "ㄈㄨ2"
+ ],
+ "𥪢": [
+ "ㄌㄨㄥ2"
+ ],
+ "𥪦": [
+ "ㄒㄧ4"
+ ],
+ "𥪧": [
+ "ㄊㄧㄢ2"
+ ],
+ "𥪫": [
+ "ㄐㄧ4"
+ ],
+ "𥪯": [
+ "ㄧㄠ4",
+ "ㄑㄧㄠ2"
+ ],
+ "𥪱": [
+ "ㄘㄨ4"
+ ],
+ "𥪴": [
+ "ㄆㄤ4"
+ ],
+ "𥪵": [
+ "ㄑㄧㄝ4"
+ ],
+ "𥪻": [
+ "ㄌㄨㄥ2"
+ ],
+ "𥪼": [
+ "ㄐㄧ3"
+ ],
+ "𥫂": [
+ "ㄊㄨㄥ2"
+ ],
+ "𥫃": [
+ "ㄧ2"
+ ],
+ "𥫅": [
+ "ㄔㄤ1"
+ ],
+ "𥫋": [
+ "ㄍㄨㄥ1"
+ ],
+ "𥫎": [
+ "ㄉㄨㄥ4"
+ ],
+ "𥫖": [
+ "ㄒㄧㄤ1"
+ ],
+ "𥫙": [
+ "ㄊㄧㄥ3"
+ ],
+ "𥫛": [
+ "ㄓㄨㄢ1"
+ ],
+ "𥫜": [
+ "ㄧ3"
+ ],
+ "𥫝": [
+ "ㄧ4"
+ ],
+ "𥫞": [
+ "ㄗ3"
+ ],
+ "𥫟": [
+ "ㄑㄧ3"
+ ],
+ "𥫢": [
+ "ㄔㄚ3"
+ ],
+ "𥫬": [
+ "ㄉㄨㄣ4"
+ ],
+ "𥫯": [
+ "ㄔㄨㄥ1"
+ ],
+ "𥫰": [
+ "ㄌㄨ4"
+ ],
+ "𥫱": [
+ "ㄉㄨㄣ4"
+ ],
+ "𥫳": [
+ "ㄈㄤ1"
+ ],
+ "𥫴": [
+ "ㄕ4"
+ ],
+ "𥫵": [
+ "ㄊㄧ4"
+ ],
+ "𥫶": [
+ "ㄐㄧ1"
+ ],
+ "𥫷": [
+ "ㄑㄧㄡ1"
+ ],
+ "𥫸": [
+ "ㄕㄨㄟ3"
+ ],
+ "𥫹": [
+ "ㄔㄣ2"
+ ],
+ "𥫼": [
+ "ㄏㄨㄤ4"
+ ],
+ "𥫽": [
+ "ㄕ5"
+ ],
+ "𥬀": [
+ "ㄩㄣ2"
+ ],
+ "𥬆": [
+ "ㄌㄨㄥ2"
+ ],
+ "𥬈": [
+ "ㄇㄢ3"
+ ],
+ "𥬉": [
+ "ㄍㄡ1"
+ ],
+ "𥬍": [
+ "ㄒㄧㄢ1"
+ ],
+ "𥬎": [
+ "ㄇㄛ4"
+ ],
+ "𥬐": [
+ "ㄕㄣ3"
+ ],
+ "𥬒": [
+ "ㄆㄛ1"
+ ],
+ "𥬓": [
+ "ㄧㄠ4"
+ ],
+ "𥬔": [
+ "ㄑㄩ1"
+ ],
+ "𥬕": [
+ "ㄖㄢ3"
+ ],
+ "𥬙": [
+ "ㄐㄩ4"
+ ],
+ "𥬜": [
+ "ㄧㄣ3"
+ ],
+ "𥬝": [
+ "ㄅㄞ2"
+ ],
+ "𥬞": [
+ "ㄋㄧㄝ4"
+ ],
+ "𥬠": [
+ "ㄔㄡ1"
+ ],
+ "𥬪": [
+ "ㄖㄨㄥ2"
+ ],
+ "𥬫": [
+ "ㄔㄨㄢ3"
+ ],
+ "𥬬": [
+ "ㄋㄧㄝ4"
+ ],
+ "𥬭": [
+ "ㄌㄧ4",
+ "ㄌㄧㄝ4"
+ ],
+ "𥬮": [
+ "ㄐㄧㄤ1"
+ ],
+ "𥬯": [
+ "ㄎㄠ3"
+ ],
+ "𥬰": [
+ "ㄘㄜ4",
+ "ㄓㄚ4"
+ ],
+ "𥬱": [
+ "ㄔㄨㄥ4"
+ ],
+ "𥬲": [
+ "ㄓㄨㄚ1",
+ "ㄉㄨㄛ4"
+ ],
+ "𥬳": [
+ "ㄗ3"
+ ],
+ "𥬴": [
+ "ㄧㄤ2"
+ ],
+ "𥬼": [
+ "ㄨㄣ3"
+ ],
+ "𥭋": [
+ "ㄐㄧ4"
+ ],
+ "𥭌": [
+ "ㄐㄧ4"
+ ],
+ "𥭐": [
+ "ㄌㄩ4"
+ ],
+ "𥭑": [
+ "ㄑㄧㄡ2"
+ ],
+ "𥭒": [
+ "ㄉㄨㄣ4"
+ ],
+ "𥭓": [
+ "ㄅㄠ2"
+ ],
+ "𥭔": [
+ "ㄔㄢ1"
+ ],
+ "𥭖": [
+ "ㄅㄛ2"
+ ],
+ "𥭘": [
+ "ㄔ1"
+ ],
+ "𥭙": [
+ "ㄓㄜ4",
+ "ㄋㄧㄝ4"
+ ],
+ "𥭚": [
+ "ㄇㄤ4"
+ ],
+ "𥭜": [
+ "ㄐㄧ4"
+ ],
+ "𥭝": [
+ "ㄇㄧㄠ4"
+ ],
+ "𥭞": [
+ "ㄩㄢ4"
+ ],
+ "𥭠": [
+ "ㄨ2"
+ ],
+ "𥭡": [
+ "ㄓ4"
+ ],
+ "𥭢": [
+ "ㄆㄧㄥ1"
+ ],
+ "𥭥": [
+ "ㄔㄨㄥ1"
+ ],
+ "𥭫": [
+ "ㄇㄧ2"
+ ],
+ "𥭬": [
+ "ㄈㄟ2"
+ ],
+ "𥭭": [
+ "ㄘㄨㄛ1"
+ ],
+ "𥭮": [
+ "ㄇㄥ2"
+ ],
+ "𥮍": [
+ "ㄧㄣ2"
+ ],
+ "𥮎": [
+ "ㄇㄤ3"
+ ],
+ "𥮏": [
+ "ㄉㄧㄢ3"
+ ],
+ "𥮐": [
+ "ㄉㄧㄠ1"
+ ],
+ "𥮒": [
+ "ㄑㄧㄢ2",
+ "ㄓㄢ1"
+ ],
+ "𥮕": [
+ "ㄏㄤ4"
+ ],
+ "𥮖": [
+ "ㄓ2"
+ ],
+ "𥮗": [
+ "ㄐㄩ2"
+ ],
+ "𥮘": [
+ "ㄋㄧㄢ4"
+ ],
+ "𥮜": [
+ "ㄇㄧ2"
+ ],
+ "𥮝": [
+ "ㄍㄨ3"
+ ],
+ "𥮣": [
+ "ㄓㄨㄚ1"
+ ],
+ "𥮤": [
+ "ㄋㄧㄝ4"
+ ],
+ "𥮥": [
+ "ㄓㄨㄛ2"
+ ],
+ "𥮧": [
+ "ㄧㄝ4"
+ ],
+ "𥮨": [
+ "ㄘㄨㄥ4"
+ ],
+ "𥮪": [
+ "ㄒㄩ1",
+ "ㄐㄧ2"
+ ],
+ "𥮬": [
+ "ㄒㄧ4"
+ ],
+ "𥮯": [
+ "ㄅㄛ1"
+ ],
+ "𥮾": [
+ "ㄘㄢ3",
+ "ㄗㄢ1"
+ ],
+ "𥯃": [
+ "ㄧㄢ3"
+ ],
+ "𥯑": [
+ "ㄐㄧㄣ3"
+ ],
+ "𥯔": [
+ "ㄐㄩ3"
+ ],
+ "𥯕": [
+ "ㄉㄤ4"
+ ],
+ "𥯖": [
+ "ㄉㄨ4"
+ ],
+ "𥯘": [
+ "ㄧㄝ2"
+ ],
+ "𥯙": [
+ "ㄐㄧㄥ4"
+ ],
+ "𥯚": [
+ "ㄎㄜ4"
+ ],
+ "𥯛": [
+ "ㄌㄨㄛ4"
+ ],
+ "𥯜": [
+ "ㄨㄟ3"
+ ],
+ "𥯝": [
+ "ㄊㄨ1"
+ ],
+ "𥯞": [
+ "ㄧㄡ2"
+ ],
+ "𥯟": [
+ "ㄆㄞ4"
+ ],
+ "𥯡": [
+ "ㄆㄧ2"
+ ],
+ "𥯢": [
+ "ㄉㄧㄥ4"
+ ],
+ "𥯤": [
+ "ㄨㄟ3"
+ ],
+ "𥯥": [
+ "ㄔㄜ4"
+ ],
+ "𥯦": [
+ "ㄐㄧㄢ4",
+ "ㄕㄚ4"
+ ],
+ "𥯨": [
+ "ㄙ1"
+ ],
+ "𥯩": [
+ "ㄓㄨㄛ2"
+ ],
+ "𥯪": [
+ "ㄙㄡ4"
+ ],
+ "𥯬": [
+ "ㄖㄨㄢ3"
+ ],
+ "𥯮": [
+ "ㄩ2"
+ ],
+ "𥯳": [
+ "ㄜ4"
+ ],
+ "𥯶": [
+ "ㄎㄨ3"
+ ],
+ "𥯸": [
+ "ㄓㄨ4"
+ ],
+ "𥯾": [
+ "ㄒㄧㄚ2"
+ ],
+ "𥰛": [
+ "ㄈㄨ2"
+ ],
+ "𥰜": [
+ "ㄊㄠ2"
+ ],
+ "𥰝": [
+ "ㄒㄧ1"
+ ],
+ "𥰞": [
+ "ㄔㄡ1",
+ "ㄙㄡ3"
+ ],
+ "𥰟": [
+ "ㄩㄢ2"
+ ],
+ "𥰠": [
+ "ㄌㄩ2"
+ ],
+ "𥰡": [
+ "ㄘㄜ4"
+ ],
+ "𥰢": [
+ "ㄕㄢ4"
+ ],
+ "𥰣": [
+ "ㄌㄧㄡ2"
+ ],
+ "𥰥": [
+ "ㄒㄧ4"
+ ],
+ "𥰦": [
+ "ㄐㄧ1"
+ ],
+ "𥰧": [
+ "ㄧ3"
+ ],
+ "𥰨": [
+ "ㄊㄢ2"
+ ],
+ "𥰪": [
+ "ㄏㄨ2"
+ ],
+ "𥰭": [
+ "ㄘㄨㄛ1",
+ "ㄓㄚ3",
+ "ㄘ1"
+ ],
+ "𥰮": [
+ "ㄍㄜ3"
+ ],
+ "𥰰": [
+ "ㄕ4",
+ "ㄕㄜ2"
+ ],
+ "𥰱": [
+ "ㄙㄠ1"
+ ],
+ "𥰲": [
+ "ㄏㄨㄥ4"
+ ],
+ "𥰳": [
+ "ㄒㄧㄢ4"
+ ],
+ "𥰶": [
+ "ㄒㄧㄚ2"
+ ],
+ "𥰻": [
+ "ㄇㄨ4"
+ ],
+ "𥰼": [
+ "ㄙㄨㄛ3"
+ ],
+ "𥰾": [
+ "ㄓㄞ4"
+ ],
+ "𥱀": [
+ "ㄈㄨ1"
+ ],
+ "𥱁": [
+ "ㄙㄜ4"
+ ],
+ "𥱂": [
+ "ㄋㄨ2"
+ ],
+ "𥱃": [
+ "ㄧ4"
+ ],
+ "𥱧": [
+ "ㄑㄧㄣ2"
+ ],
+ "𥱨": [
+ "ㄑㄧㄥ4"
+ ],
+ "𥱵": [
+ "ㄏㄨㄟ4",
+ "ㄙㄨㄟ4",
+ "ㄒㄧ2"
+ ],
+ "𥱶": [
+ "ㄕㄨㄤ3"
+ ],
+ "𥱷": [
+ "ㄉㄢ3"
+ ],
+ "𥱸": [
+ "ㄡ1"
+ ],
+ "𥱹": [
+ "ㄇㄛ4"
+ ],
+ "𥱺": [
+ "ㄑㄧㄢ1"
+ ],
+ "𥱻": [
+ "ㄔ4",
+ "ㄊㄨ2"
+ ],
+ "𥱼": [
+ "ㄆㄞ2",
+ "ㄆㄧ4"
+ ],
+ "𥱽": [
+ "ㄐㄩㄢ4"
+ ],
+ "𥲀": [
+ "ㄔㄠ2"
+ ],
+ "𥲁": [
+ "ㄌㄧㄝ4"
+ ],
+ "𥲂": [
+ "ㄅㄧㄥ1"
+ ],
+ "𥲃": [
+ "ㄎㄡ4"
+ ],
+ "𥲄": [
+ "ㄉㄢ4"
+ ],
+ "𥲅": [
+ "ㄔㄡ2"
+ ],
+ "𥲆": [
+ "ㄊㄨㄥ1"
+ ],
+ "𥲇": [
+ "ㄉㄢ4"
+ ],
+ "𥲈": [
+ "ㄇㄢ3"
+ ],
+ "𥲉": [
+ "ㄏㄨ4"
+ ],
+ "𥲊": [
+ "ㄌㄧㄠ2"
+ ],
+ "𥲋": [
+ "ㄒㄧㄢ2"
+ ],
+ "𥲍": [
+ "ㄘㄠ2"
+ ],
+ "𥲎": [
+ "ㄌㄨ4"
+ ],
+ "𥲏": [
+ "ㄔㄨㄢ4"
+ ],
+ "𥲐": [
+ "ㄨ2"
+ ],
+ "𥲑": [
+ "ㄇㄢ2"
+ ],
+ "𥲕": [
+ "ㄗ3"
+ ],
+ "𥲗": [
+ "ㄉㄨ4"
+ ],
+ "𥲚": [
+ "ㄕㄨㄤ4"
+ ],
+ "𥲛": [
+ "ㄈㄨ4"
+ ],
+ "𥲜": [
+ "ㄐㄩ4"
+ ],
+ "𥲝": [
+ "ㄓㄡ4"
+ ],
+ "𥲟": [
+ "ㄉㄧㄠ4"
+ ],
+ "𥲠": [
+ "ㄨㄤ4"
+ ],
+ "𥲡": [
+ "ㄔㄨㄤ1"
+ ],
+ "𥲢": [
+ "ㄑㄧㄢ1"
+ ],
+ "𥲣": [
+ "ㄊㄨㄟ4"
+ ],
+ "𥲥": [
+ "ㄌㄧㄢ2"
+ ],
+ "𥲦": [
+ "ㄅㄧㄠ1"
+ ],
+ "𥲧": [
+ "ㄌㄧ2"
+ ],
+ "𥲪": [
+ "ㄌㄧ2"
+ ],
+ "𥳆": [
+ "ㄅㄧ4"
+ ],
+ "𥳇": [
+ "ㄈㄨ4"
+ ],
+ "𥳈": [
+ "ㄘㄨㄟ4"
+ ],
+ "𥳉": [
+ "ㄉㄨ1"
+ ],
+ "𥳋": [
+ "ㄗㄢ4",
+ "ㄗㄢ1"
+ ],
+ "𥳌": [
+ "ㄌㄨㄥ2"
+ ],
+ "𥳍": [
+ "ㄒㄩㄣ2"
+ ],
+ "𥳎": [
+ "ㄑㄩㄥ2"
+ ],
+ "𥳏": [
+ "ㄐㄧ1"
+ ],
+ "𥳐": [
+ "ㄑㄧㄢ3"
+ ],
+ "𥳒": [
+ "ㄐㄧㄢ3"
+ ],
+ "𥳓": [
+ "ㄕㄠ1"
+ ],
+ "𥳔": [
+ "ㄉㄨㄛ4"
+ ],
+ "𥳕": [
+ "ㄕㄨ1"
+ ],
+ "𥳖": [
+ "ㄅㄨ4"
+ ],
+ "𥳗": [
+ "ㄒㄩ1"
+ ],
+ "𥳘": [
+ "ㄉㄨㄥ3"
+ ],
+ "𥳚": [
+ "ㄖㄢ2"
+ ],
+ "𥳜": [
+ "ㄧㄤ2"
+ ],
+ "𥳝": [
+ "ㄖㄨㄟ3"
+ ],
+ "𥳞": [
+ "ㄌㄧㄣ4"
+ ],
+ "𥳟": [
+ "ㄐㄧㄢ3"
+ ],
+ "𥳠": [
+ "ㄉㄧ4"
+ ],
+ "𥳡": [
+ "ㄈㄣ2"
+ ],
+ "𥳢": [
+ "ㄉㄧㄢ4"
+ ],
+ "𥳣": [
+ "ㄗㄨㄟ4"
+ ],
+ "𥳥": [
+ "ㄋㄧㄥ3"
+ ],
+ "𥳪": [
+ "ㄙㄨㄢ4"
+ ],
+ "𥳫": [
+ "ㄊㄧㄢ3"
+ ],
+ "𥳬": [
+ "ㄢ4"
+ ],
+ "𥳯": [
+ "ㄘㄜ4"
+ ],
+ "𥳰": [
+ "ㄉㄧㄥ4"
+ ],
+ "𥳱": [
+ "ㄕㄣ1"
+ ],
+ "𥳲": [
+ "ㄉㄨ4"
+ ],
+ "𥳳": [
+ "ㄊㄧ2"
+ ],
+ "𥳴": [
+ "ㄐㄧㄠ3"
+ ],
+ "𥳵": [
+ "ㄗㄨㄟ4"
+ ],
+ "𥳶": [
+ "ㄓㄤ3"
+ ],
+ "𥳷": [
+ "ㄐㄧㄢ3"
+ ],
+ "𥳸": [
+ "ㄉㄢ4"
+ ],
+ "𥳹": [
+ "ㄉㄢ3"
+ ],
+ "𥳺": [
+ "ㄙㄨㄥ3"
+ ],
+ "𥴐": [
+ "ㄓㄢ3"
+ ],
+ "𥴑": [
+ "ㄊㄧㄥ2"
+ ],
+ "𥴒": [
+ "ㄓ4"
+ ],
+ "𥴕": [
+ "ㄧㄡ2"
+ ],
+ "𥴖": [
+ "ㄆㄞ2"
+ ],
+ "𥴡": [
+ "ㄌㄧ3"
+ ],
+ "𥴤": [
+ "ㄑㄧㄢ2"
+ ],
+ "𥴦": [
+ "ㄙㄨㄟ4",
+ "ㄉㄧ2"
+ ],
+ "𥴧": [
+ "ㄐㄩ3"
+ ],
+ "𥴨": [
+ "ㄞ4"
+ ],
+ "𥴩": [
+ "ㄍㄜ2"
+ ],
+ "𥴪": [
+ "ㄐㄩ4"
+ ],
+ "𥴫": [
+ "ㄊㄨㄣ2",
+ "ㄉㄧㄢ4"
+ ],
+ "𥴬": [
+ "ㄅㄧ4"
+ ],
+ "𥴭": [
+ "ㄑㄧㄚ4"
+ ],
+ "𥴮": [
+ "ㄅㄛ2"
+ ],
+ "𥴯": [
+ "ㄏㄨㄟ4"
+ ],
+ "𥴱": [
+ "ㄐㄧㄢ4"
+ ],
+ "𥴴": [
+ "ㄍㄡ1"
+ ],
+ "𥴵": [
+ "ㄙㄨㄢ4"
+ ],
+ "𥴺": [
+ "ㄘ2"
+ ],
+ "𥴻": [
+ "ㄑㄧㄤ4"
+ ],
+ "𥴿": [
+ "ㄧㄢ2"
+ ],
+ "𥵏": [
+ "ㄉㄧㄢ4"
+ ],
+ "𥵒": [
+ "ㄇㄧㄝ4"
+ ],
+ "𥵜": [
+ "ㄆㄛ4"
+ ],
+ "𥵝": [
+ "ㄌㄧㄥ3"
+ ],
+ "𥵞": [
+ "ㄐㄧㄝ2"
+ ],
+ "𥵟": [
+ "ㄓㄨ4"
+ ],
+ "𥵠": [
+ "ㄍㄨ3"
+ ],
+ "𥵣": [
+ "ㄉㄨㄢ1"
+ ],
+ "𥵤": [
+ "ㄓㄠ4"
+ ],
+ "𥵦": [
+ "ㄕㄠ3"
+ ],
+ "𥵧": [
+ "ㄑㄧㄣ3"
+ ],
+ "𥵨": [
+ "ㄇㄧ2"
+ ],
+ "𥵪": [
+ "ㄆㄧㄥ2"
+ ],
+ "𥵫": [
+ "ㄘㄨㄥ2"
+ ],
+ "𥵬": [
+ "ㄔㄡ1"
+ ],
+ "𥵯": [
+ "ㄙㄚ4"
+ ],
+ "𥵶": [
+ "ㄊㄧㄢ3"
+ ],
+ "𥶅": [
+ "ㄌㄧㄡ2"
+ ],
+ "𥶆": [
+ "ㄌㄩ2"
+ ],
+ "𥶇": [
+ "ㄌㄨ3"
+ ],
+ "𥶈": [
+ "ㄗㄡ1"
+ ],
+ "𥶌": [
+ "ㄌㄩ4"
+ ],
+ "𥶍": [
+ "ㄏㄨㄢ3"
+ ],
+ "𥶏": [
+ "ㄊㄧㄠ2"
+ ],
+ "𥶐": [
+ "ㄊㄨㄟ2"
+ ],
+ "𥶑": [
+ "ㄑㄧㄤ3"
+ ],
+ "𥶒": [
+ "ㄌㄧㄣ4"
+ ],
+ "𥶓": [
+ "ㄅㄟ1"
+ ],
+ "𥶔": [
+ "ㄆㄠ2"
+ ],
+ "𥶕": [
+ "ㄓㄢ1"
+ ],
+ "𥶗": [
+ "ㄌㄧ4"
+ ],
+ "𥶛": [
+ "ㄊㄧ2"
+ ],
+ "𥶜": [
+ "ㄏㄨ2"
+ ],
+ "𥶢": [
+ "ㄌㄧㄝ4"
+ ],
+ "𥶵": [
+ "ㄏㄨㄟ3"
+ ],
+ "𥶶": [
+ "ㄑㄩ1"
+ ],
+ "𥶷": [
+ "ㄒㄩㄢ3"
+ ],
+ "𥶹": [
+ "ㄐㄧㄥ4"
+ ],
+ "𥶺": [
+ "ㄉㄧㄝ2"
+ ],
+ "𥶻": [
+ "ㄙㄨㄟ2"
+ ],
+ "𥶽": [
+ "ㄨㄟ4"
+ ],
+ "𥶿": [
+ "ㄧㄢ2"
+ ],
+ "𥷀": [
+ "ㄧㄢ1"
+ ],
+ "𥷁": [
+ "ㄅㄢ4"
+ ],
+ "𥷃": [
+ "ㄐㄧㄤ3"
+ ],
+ "𥷄": [
+ "ㄋㄧ3"
+ ],
+ "𥷅": [
+ "ㄌㄧ4"
+ ],
+ "𥷆": [
+ "ㄏㄨ2"
+ ],
+ "𥷇": [
+ "ㄑㄧ4"
+ ],
+ "𥷈": [
+ "ㄓㄨㄥ1"
+ ],
+ "𥷑": [
+ "ㄅㄧ4"
+ ],
+ "𥷔": [
+ "ㄩ2"
+ ],
+ "𥷕": [
+ "ㄉㄧㄝ2"
+ ],
+ "𥷖": [
+ "ㄌㄧㄣ4"
+ ],
+ "𥷗": [
+ "ㄌㄧ4"
+ ],
+ "𥷘": [
+ "ㄓㄨㄛ2"
+ ],
+ "𥷙": [
+ "ㄐㄧ4"
+ ],
+ "𥷚": [
+ "ㄐㄩ1"
+ ],
+ "𥷜": [
+ "ㄈㄥ1"
+ ],
+ "𥷞": [
+ "ㄩ4"
+ ],
+ "𥷨": [
+ "ㄌㄧㄝ4"
+ ],
+ "𥷩": [
+ "ㄗㄚ2"
+ ],
+ "𥷪": [
+ "ㄑㄧㄢ2"
+ ],
+ "𥷫": [
+ "ㄐㄧㄝ1"
+ ],
+ "𥷬": [
+ "ㄍㄨㄢ1"
+ ],
+ "𥷮": [
+ "ㄓㄨㄛ2",
+ "ㄓㄠ1"
+ ],
+ "𥷱": [
+ "ㄈㄨ4"
+ ],
+ "𥷹": [
+ "ㄙㄜ4"
+ ],
+ "𥷼": [
+ "ㄘㄨ4"
+ ],
+ "𥸃": [
+ "ㄏㄨㄟ3"
+ ],
+ "𥸈": [
+ "ㄉㄤ4"
+ ],
+ "𥸉": [
+ "ㄌㄨㄥ2"
+ ],
+ "𥸊": [
+ "ㄧ4"
+ ],
+ "𥸗": [
+ "ㄙㄚ3"
+ ],
+ "𥸘": [
+ "ㄩㄝ4"
+ ],
+ "𥸚": [
+ "ㄉㄧ2"
+ ],
+ "𥸡": [
+ "ㄍㄢ3"
+ ],
+ "𥸢": [
+ "ㄗㄢ1"
+ ],
+ "𥸣": [
+ "ㄕㄢ4"
+ ],
+ "𥸤": [
+ "ㄩ4"
+ ],
+ "𥸥": [
+ "ㄅㄛ3"
+ ],
+ "𥸧": [
+ "ㄉㄧㄥ4"
+ ],
+ "𥸨": [
+ "ㄈㄢ2",
+ "ㄅㄛ3",
+ "ㄅㄨ3"
+ ],
+ "𥸪": [
+ "ㄩ4"
+ ],
+ "𥸬": [
+ "ㄕㄣ1"
+ ],
+ "𥸲": [
+ "ㄍㄨㄥ1"
+ ],
+ "𥸴": [
+ "ㄇㄧㄝ4"
+ ],
+ "𥸵": [
+ "ㄊㄨㄣ2"
+ ],
+ "𥸸": [
+ "ㄌㄧㄝ4"
+ ],
+ "𥹁": [
+ "ㄓㄚ1",
+ "ㄗㄨㄛ4"
+ ],
+ "𥹂": [
+ "ㄆㄟ1"
+ ],
+ "𥹄": [
+ "ㄇㄧ2"
+ ],
+ "𥹆": [
+ "ㄇㄧㄥ2"
+ ],
+ "𥹇": [
+ "ㄈㄢ4"
+ ],
+ "𥹉": [
+ "ㄋㄚ4"
+ ],
+ "𥹊": [
+ "ㄙ4"
+ ],
+ "𥹋": [
+ "ㄧ2"
+ ],
+ "𥹌": [
+ "ㄐㄧㄚ1"
+ ],
+ "𥹍": [
+ "ㄓㄨ4"
+ ],
+ "𥹓": [
+ "ㄅㄢ1"
+ ],
+ "𥹔": [
+ "ㄩ4"
+ ],
+ "𥹖": [
+ "ㄆㄛ3"
+ ],
+ "𥹚": [
+ "ㄏㄨㄢ1"
+ ],
+ "𥹛": [
+ "ㄘㄢ4"
+ ],
+ "𥹜": [
+ "ㄐㄧㄠ1"
+ ],
+ "𥹠": [
+ "ㄊㄢ2"
+ ],
+ "𥹩": [
+ "ㄓ4"
+ ],
+ "𥹫": [
+ "ㄇㄧ3"
+ ],
+ "𥹬": [
+ "ㄎㄠ3"
+ ],
+ "𥹱": [
+ "ㄧㄠ1"
+ ],
+ "𥹲": [
+ "ㄉㄨㄟ4"
+ ],
+ "𥹳": [
+ "ㄑㄩㄢ3",
+ "ㄏㄨㄢ2"
+ ],
+ "𥹴": [
+ "ㄅㄨ4"
+ ],
+ "𥹵": [
+ "ㄔㄨ4"
+ ],
+ "𥹶": [
+ "ㄑㄧㄠ3"
+ ],
+ "𥹷": [
+ "ㄌㄧㄡ2"
+ ],
+ "𥹸": [
+ "ㄅㄛ2"
+ ],
+ "𥹺": [
+ "ㄎㄤ1"
+ ],
+ "𥹻": [
+ "ㄈㄣ4"
+ ],
+ "𥺅": [
+ "ㄉㄠ4"
+ ],
+ "𥺉": [
+ "ㄉㄡ4"
+ ],
+ "𥺊": [
+ "ㄍㄜ2"
+ ],
+ "𥺙": [
+ "ㄌㄧㄥ2"
+ ],
+ "𥺚": [
+ "ㄒㄧ2"
+ ],
+ "𥺜": [
+ "ㄋㄧ4"
+ ],
+ "𥺝": [
+ "ㄓㄡ1"
+ ],
+ "𥺞": [
+ "ㄓㄡ1",
+ "ㄩ4"
+ ],
+ "𥺣": [
+ "ㄔㄡ1"
+ ],
+ "𥺴": [
+ "ㄋㄧㄢ1"
+ ],
+ "𥺵": [
+ "ㄐㄧ1"
+ ],
+ "𥺷": [
+ "ㄑㄩ1"
+ ],
+ "𥻄": [
+ "ㄎㄞ1"
+ ],
+ "𥻇": [
+ "ㄒㄧㄢ4"
+ ],
+ "𥻉": [
+ "ㄏㄜ2"
+ ],
+ "𥻋": [
+ "ㄌㄧㄣ2"
+ ],
+ "𥻍": [
+ "ㄗ1"
+ ],
+ "𥻑": [
+ "ㄡ3",
+ "ㄌㄧ4"
+ ],
+ "𥻒": [
+ "ㄘㄨ4",
+ "ㄇㄧ4"
+ ],
+ "𥻗": [
+ "ㄔㄚ2"
+ ],
+ "𥻝": [
+ "ㄓㄨㄥ4"
+ ],
+ "𥻞": [
+ "ㄅㄨ2"
+ ],
+ "𥻤": [
+ "ㄔㄡ1"
+ ],
+ "𥻥": [
+ "ㄒㄧ4"
+ ],
+ "𥻦": [
+ "ㄙㄚ4"
+ ],
+ "𥻧": [
+ "ㄒㄧㄢ2",
+ "ㄐㄧㄢ1"
+ ],
+ "𥻨": [
+ "ㄙㄜ4"
+ ],
+ "𥻩": [
+ "ㄇㄧㄢ4"
+ ],
+ "𥻫": [
+ "ㄈㄢ2"
+ ],
+ "𥻬": [
+ "ㄓ1"
+ ],
+ "𥻮": [
+ "ㄘㄨㄟ4"
+ ],
+ "𥻴": [
+ "ㄒㄧㄚ4"
+ ],
+ "𥻾": [
+ "ㄋㄨㄛ4"
+ ],
+ "𥻿": [
+ "ㄌㄧ2"
+ ],
+ "𥼀": [
+ "ㄗㄨ2"
+ ],
+ "𥼂": [
+ "ㄘㄨㄟ1"
+ ],
+ "𥼃": [
+ "ㄗㄜ2"
+ ],
+ "𥼅": [
+ "ㄌㄧ2"
+ ],
+ "𥼘": [
+ "ㄑㄧ2"
+ ],
+ "𥼚": [
+ "ㄓㄨㄛ1"
+ ],
+ "𥼛": [
+ "ㄘㄨㄟ4"
+ ],
+ "𥼜": [
+ "ㄆㄨ1"
+ ],
+ "𥼞": [
+ "ㄈㄢ2"
+ ],
+ "𥼟": [
+ "ㄊㄢ2"
+ ],
+ "𥼩": [
+ "ㄗ1"
+ ],
+ "𥼪": [
+ "ㄗㄨ3"
+ ],
+ "𥼫": [
+ "ㄓㄡ1"
+ ],
+ "𥼬": [
+ "ㄖㄨㄥ2"
+ ],
+ "𥼭": [
+ "ㄌㄧㄣ2"
+ ],
+ "𥼮": [
+ "ㄊㄢ2"
+ ],
+ "𥼶": [
+ "ㄕ4"
+ ],
+ "𥼺": [
+ "ㄘㄨㄟ3"
+ ],
+ "𥼻": [
+ "ㄗ1"
+ ],
+ "𥼼": [
+ "ㄈㄨ1"
+ ],
+ "𥽁": [
+ "ㄒㄧㄠ4"
+ ],
+ "𥽈": [
+ "ㄈㄥ1",
+ "ㄌㄧ3"
+ ],
+ "𥽏": [
+ "ㄒㄧㄢ4"
+ ],
+ "𥽐": [
+ "ㄐㄧㄢ4"
+ ],
+ "𥽒": [
+ "ㄈㄣ4"
+ ],
+ "𥽗": [
+ "ㄌㄧ4"
+ ],
+ "𥽘": [
+ "ㄇㄛ4",
+ "ㄇㄧㄝ4"
+ ],
+ "𥽟": [
+ "ㄧㄡ1"
+ ],
+ "𥽥": [
+ "ㄏㄨㄛ4"
+ ],
+ "𥽧": [
+ "ㄑㄩ1"
+ ],
+ "𥽬": [
+ "ㄋㄧㄤ4"
+ ],
+ "𥽰": [
+ "ㄇㄧ2"
+ ],
+ "𥽳": [
+ "ㄑㄧ4"
+ ],
+ "𥽶": [
+ "ㄏㄜ2"
+ ],
+ "𥽸": [
+ "ㄌㄧㄢ4"
+ ],
+ "𥽿": [
+ "ㄗㄨㄛ4"
+ ],
+ "𥾂": [
+ "ㄌㄧㄥ2"
+ ],
+ "𥾅": [
+ "ㄓㄨ2"
+ ],
+ "𥾇": [
+ "ㄋㄧㄠ3"
+ ],
+ "𥾊": [
+ "ㄐㄧ3"
+ ],
+ "𥾋": [
+ "ㄖㄥ2"
+ ],
+ "𥾌": [
+ "ㄐㄧㄝ2"
+ ],
+ "𥾍": [
+ "ㄍㄢ3"
+ ],
+ "𥾐": [
+ "ㄧ4"
+ ],
+ "𥾓": [
+ "ㄓㄡ2"
+ ],
+ "𥾕": [
+ "ㄨ4"
+ ],
+ "𥾚": [
+ "ㄍㄥ3",
+ "ㄉㄢ3"
+ ],
+ "𥾛": [
+ "ㄘㄨ4"
+ ],
+ "𥾝": [
+ "ㄇㄧㄝ4",
+ "ㄇㄧㄢ3"
+ ],
+ "𥾡": [
+ "ㄒㄩㄣ2",
+ "ㄐㄧ1"
+ ],
+ "𥾣": [
+ "ㄓ1"
+ ],
+ "𥾤": [
+ "ㄒㄧㄠ2"
+ ],
+ "𥾧": [
+ "ㄈㄨ2"
+ ],
+ "𥾨": [
+ "ㄏㄨ2"
+ ],
+ "𥾬": [
+ "ㄉㄧ1"
+ ],
+ "𥾮": [
+ "ㄐㄩㄝ2"
+ ],
+ "𥾯": [
+ "ㄉㄧㄠ4"
+ ],
+ "𥾹": [
+ "ㄕㄡ3"
+ ],
+ "𥾼": [
+ "ㄨㄤ3"
+ ],
+ "𥿃": [
+ "ㄋㄚ4"
+ ],
+ "𥿄": [
+ "ㄉㄧ1"
+ ],
+ "𥿅": [
+ "ㄕ4"
+ ],
+ "𥿆": [
+ "ㄘ2"
+ ],
+ "𥿇": [
+ "ㄕㄨ1"
+ ],
+ "𥿉": [
+ "ㄨㄚ4",
+ "ㄇㄛ4"
+ ],
+ "𥿊": [
+ "ㄔㄜ4"
+ ],
+ "𥿋": [
+ "ㄈㄢ2",
+ "ㄅㄧㄢ4"
+ ],
+ "𥿍": [
+ "ㄍㄨ1"
+ ],
+ "𥿎": [
+ "ㄩㄢ1",
+ "ㄨㄢ3"
+ ],
+ "𥿑": [
+ "ㄍㄨㄢ1",
+ "ㄌㄨㄣ2"
+ ],
+ "𥿚": [
+ "ㄑㄧㄝ4"
+ ],
+ "𥿜": [
+ "ㄓㄢ3",
+ "ㄓㄣ3"
+ ],
+ "𥿝": [
+ "ㄉㄞ4"
+ ],
+ "𥿞": [
+ "ㄕㄜ1"
+ ],
+ "𥿦": [
+ "ㄓㄡ1"
+ ],
+ "𥿧": [
+ "ㄒㄧㄤ3"
+ ],
+ "𥿨": [
+ "ㄇㄧㄥ2"
+ ],
+ "𥿩": [
+ "ㄗ4"
+ ],
+ "𥿪": [
+ "ㄏㄨㄤ1"
+ ],
+ "𥿫": [
+ "ㄇㄧ2",
+ "ㄧ4",
+ "ㄨㄟ4"
+ ],
+ "𥿭": [
+ "ㄒㄧ4"
+ ],
+ "𥿮": [
+ "ㄓ4",
+ "ㄕ4"
+ ],
+ "𥿯": [
+ "ㄆㄞ4"
+ ],
+ "𥿰": [
+ "ㄉㄨㄛ3"
+ ],
+ "𥿴": [
+ "ㄘ4"
+ ],
+ "𥿵": [
+ "ㄇㄡ2"
+ ],
+ "𥿷": [
+ "ㄔㄠ4"
+ ],
+ "𥿹": [
+ "ㄧ4"
+ ],
+ "𥿺": [
+ "ㄍㄡ1"
+ ],
+ "𦀇": [
+ "ㄐㄧㄥ1"
+ ],
+ "𦀓": [
+ "ㄗㄥ1",
+ "ㄐㄧㄝ1"
+ ],
+ "𦀔": [
+ "ㄆㄧㄥ1"
+ ],
+ "𦀕": [
+ "ㄧㄝ4"
+ ],
+ "𦀖": [
+ "ㄐㄧㄝ2"
+ ],
+ "𦀘": [
+ "ㄆㄧ1",
+ "ㄅㄧ1"
+ ],
+ "𦀛": [
+ "ㄕㄚ1"
+ ],
+ "𦀜": [
+ "ㄓㄨㄤ4"
+ ],
+ "𦀝": [
+ "ㄐㄩㄥ3"
+ ],
+ "𦀠": [
+ "ㄌㄧㄡ2"
+ ],
+ "𦀡": [
+ "ㄩ3"
+ ],
+ "𦀣": [
+ "ㄐㄩ1"
+ ],
+ "𦀨": [
+ "ㄋㄨㄛ4"
+ ],
+ "𦀸": [
+ "ㄇㄠ4"
+ ],
+ "𦁄": [
+ "ㄔㄣ1"
+ ],
+ "𦁆": [
+ "ㄓㄨㄢ4",
+ "ㄐㄩㄢ4",
+ "ㄕㄨㄢ4"
+ ],
+ "𦁇": [
+ "ㄋㄧㄢ4"
+ ],
+ "𦁈": [
+ "ㄎㄨㄥ4"
+ ],
+ "𦁉": [
+ "ㄐㄧㄝ1"
+ ],
+ "𦁊": [
+ "ㄏㄨㄚ4"
+ ],
+ "𦁍": [
+ "ㄒㄧㄣ1"
+ ],
+ "𦁎": [
+ "ㄗㄨㄛ2"
+ ],
+ "𦁏": [
+ "ㄧㄢ4"
+ ],
+ "𦁐": [
+ "ㄐㄩㄝ2"
+ ],
+ "𦁕": [
+ "ㄏㄨ1"
+ ],
+ "𦁖": [
+ "ㄓㄡ4"
+ ],
+ "𦁗": [
+ "ㄕㄜ4"
+ ],
+ "𦁙": [
+ "ㄧㄢ3"
+ ],
+ "𦁛": [
+ "ㄒㄧㄝ4",
+ "ㄉㄧㄝ2"
+ ],
+ "𦁜": [
+ "ㄉㄧㄝ2"
+ ],
+ "𦁟": [
+ "ㄔㄣ1",
+ "ㄔㄣ2",
+ "ㄓㄣ3"
+ ],
+ "𦁲": [
+ "ㄐㄧㄢ3"
+ ],
+ "𦁳": [
+ "ㄐㄧ4"
+ ],
+ "𦁶": [
+ "ㄔㄨㄛ4"
+ ],
+ "𦁷": [
+ "ㄏㄨㄥ2"
+ ],
+ "𦂀": [
+ "ㄉㄚ2"
+ ],
+ "𦂄": [
+ "ㄎㄞ1"
+ ],
+ "𦂅": [
+ "ㄒㄧㄥ1",
+ "ㄒㄧ3"
+ ],
+ "𦂆": [
+ "ㄏㄨㄟ4"
+ ],
+ "𦂇": [
+ "ㄐㄧㄢ3"
+ ],
+ "𦂈": [
+ "ㄓㄡ4"
+ ],
+ "𦂉": [
+ "ㄓㄚ3"
+ ],
+ "𦂊": [
+ "ㄈㄨ4"
+ ],
+ "𦂋": [
+ "ㄔ4"
+ ],
+ "𦂌": [
+ "ㄅㄥ3"
+ ],
+ "𦂍": [
+ "ㄋㄨㄛ4"
+ ],
+ "𦂑": [
+ "ㄐㄧ4"
+ ],
+ "𦂒": [
+ "ㄑㄧㄢ2"
+ ],
+ "𦂔": [
+ "ㄨㄢ4"
+ ],
+ "𦂕": [
+ "ㄡ2"
+ ],
+ "𦂖": [
+ "ㄅㄧ4"
+ ],
+ "𦂗": [
+ "ㄕㄨㄛ4"
+ ],
+ "𦂠": [
+ "ㄐㄧㄥ1"
+ ],
+ "𦂡": [
+ "ㄧㄝ4"
+ ],
+ "𦃄": [
+ "ㄈㄟ3"
+ ],
+ "𦃇": [
+ "ㄌㄧ2"
+ ],
+ "𦃊": [
+ "ㄌㄧ4"
+ ],
+ "𦃋": [
+ "ㄆㄧ2"
+ ],
+ "𦃒": [
+ "ㄙㄨㄟ4"
+ ],
+ "𦃓": [
+ "ㄌㄧㄡ2"
+ ],
+ "𦃔": [
+ "ㄏㄜ2"
+ ],
+ "𦃕": [
+ "ㄏㄨㄣ3"
+ ],
+ "𦃖": [
+ "ㄊㄢ3"
+ ],
+ "𦃗": [
+ "ㄕㄨㄛ4"
+ ],
+ "𦃘": [
+ "ㄓ4"
+ ],
+ "𦃙": [
+ "ㄅㄛ2"
+ ],
+ "𦃝": [
+ "ㄒㄧ4"
+ ],
+ "𦃡": [
+ "ㄆㄛ2",
+ "ㄊㄠ1"
+ ],
+ "𦃢": [
+ "ㄑㄩㄣ3"
+ ],
+ "𦃤": [
+ "ㄇㄨ4"
+ ],
+ "𦃽": [
+ "ㄩㄥ1"
+ ],
+ "𦄂": [
+ "ㄉㄞ4"
+ ],
+ "𦄊": [
+ "ㄑㄧ3"
+ ],
+ "𦄋": [
+ "ㄉㄧㄠ3"
+ ],
+ "𦄌": [
+ "ㄋㄧㄝ4"
+ ],
+ "𦄍": [
+ "ㄕㄨㄤ3"
+ ],
+ "𦄏": [
+ "ㄕㄠ1"
+ ],
+ "𦄐": [
+ "ㄎㄨㄣ3",
+ "ㄇㄧ2"
+ ],
+ "𦄑": [
+ "ㄙㄨㄟ4"
+ ],
+ "𦄓": [
+ "ㄉㄡ1"
+ ],
+ "𦄔": [
+ "ㄉㄧㄝ2"
+ ],
+ "𦄜": [
+ "ㄍㄨㄥ1"
+ ],
+ "𦄯": [
+ "ㄓㄨㄢ3"
+ ],
+ "𦄰": [
+ "ㄍㄨㄛ2"
+ ],
+ "𦄼": [
+ "ㄒㄩ1"
+ ],
+ "𦄽": [
+ "ㄑㄩ2"
+ ],
+ "𦅀": [
+ "ㄒㄩㄣ2"
+ ],
+ "𦅃": [
+ "ㄐㄧㄠ1",
+ "ㄑㄧㄠ1"
+ ],
+ "𦅄": [
+ "ㄓㄜ2"
+ ],
+ "𦅆": [
+ "ㄉㄧㄢ4"
+ ],
+ "𦅇": [
+ "ㄙㄤ1"
+ ],
+ "𦅈": [
+ "ㄅㄥ1"
+ ],
+ "𦅊": [
+ "ㄙㄨㄛ3"
+ ],
+ "𦅋": [
+ "ㄑㄧㄢ3"
+ ],
+ "𦅏": [
+ "ㄒㄩ1"
+ ],
+ "𦅑": [
+ "ㄒㄩㄣ2"
+ ],
+ "𦅔": [
+ "ㄇㄛ4"
+ ],
+ "𦅵": [
+ "ㄙㄨㄟ4"
+ ],
+ "𦅶": [
+ "ㄌㄚ4",
+ "ㄌㄧㄝ4"
+ ],
+ "𦅷": [
+ "ㄓㄨ3",
+ "ㄓㄨ4"
+ ],
+ "𦅸": [
+ "ㄓㄡ4"
+ ],
+ "𦅺": [
+ "ㄌㄧ4"
+ ],
+ "𦅼": [
+ "ㄉㄢ1"
+ ],
+ "𦅽": [
+ "ㄐㄩ2"
+ ],
+ "𦅿": [
+ "ㄩㄣ4"
+ ],
+ "𦆀": [
+ "ㄔㄢ3"
+ ],
+ "𦆁": [
+ "ㄌㄨㄛ2"
+ ],
+ "𦆄": [
+ "ㄙㄜ4"
+ ],
+ "𦆆": [
+ "ㄌㄧㄢ2"
+ ],
+ "𦆈": [
+ "ㄗㄨㄢ3",
+ "ㄗㄨㄟ2"
+ ],
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+ ],
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+ ],
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+ "ㄉㄡ1"
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+ "𦆞": [
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+ ],
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+ "ㄔ1"
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+ "ㄋㄧ3"
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+ "ㄧㄠ2"
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+ "ㄌㄚ4"
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+ "ㄌㄩ4"
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+ "ㄈㄨ1"
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+ "ㄌㄟ3"
+ ],
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+ "ㄨㄟ3"
+ ],
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+ ],
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+ "ㄌㄧ4"
+ ],
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+ "ㄆㄧㄣ2"
+ ],
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+ "ㄐㄩ3"
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+ "ㄌㄚ4"
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+ "ㄐㄧ4"
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+ "ㄧㄠ4"
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+ "ㄅㄧㄢ1"
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+ "ㄘㄨㄥ2"
+ ],
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+ "ㄙ1",
+ "ㄔ1"
+ ],
+ "𦇵": [
+ "ㄙ1"
+ ],
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+ "ㄏㄜ2"
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+ "ㄔㄜ4"
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+ "ㄩㄣ4"
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+ "ㄕㄨ1"
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+ "ㄔㄢ3"
+ ],
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+ "ㄌㄧㄢ2"
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+ "ㄧㄣ1"
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+ "ㄒㄧㄥ1"
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+ "ㄨㄟ1"
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+ "ㄍㄨ3"
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+ "ㄊㄡ2"
+ ],
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+ "ㄊㄚ1"
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+ "ㄈㄟ3"
+ ],
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+ "ㄉㄚ1"
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+ "ㄋㄧㄝ4"
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+ "ㄘㄨ4"
+ ],
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+ "ㄗㄨㄛ3"
+ ],
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+ ],
+ "𦈝": [
+ "ㄒㄩㄢ4"
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+ "𦈞": [
+ "ㄅㄛ2"
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+ ],
+ "𦈠": [
+ "ㄧㄣ3"
+ ],
+ "𦈡": [
+ "ㄒㄩ1"
+ ],
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+ "ㄩ2"
+ ],
+ "𦈤": [
+ "ㄒㄩㄥ4"
+ ],
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+ "ㄑㄧ4"
+ ],
+ "𦈧": [
+ "ㄅㄟ1"
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+ "𦈨": [
+ "ㄒㄧㄥ2"
+ ],
+ "𦈩": [
+ "ㄍㄨㄥ3"
+ ],
+ "𦈬": [
+ "ㄗㄨㄟ3"
+ ],
+ "𦈰": [
+ "ㄐㄧㄝ1"
+ ],
+ "𦈲": [
+ "ㄎㄞ1",
+ "ㄍㄨ3"
+ ],
+ "𦈵": [
+ "ㄒㄧㄥ2"
+ ],
+ "𦈶": [
+ "ㄅㄟ1"
+ ],
+ "𦈷": [
+ "ㄕㄨ1"
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+ "ㄩ4"
+ ],
+ "𦈺": [
+ "ㄓㄡ3"
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+ "𦈻": [
+ "ㄓㄢ3"
+ ],
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+ "ㄓㄨㄥ1"
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+ "ㄔㄚ2"
+ ],
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+ ],
+ "𦉉": [
+ "ㄌㄧㄡ4"
+ ],
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+ "ㄙㄨㄟ1"
+ ],
+ "𦉐": [
+ "ㄓㄨ3"
+ ],
+ "𦉙": [
+ "ㄅㄧㄢ4"
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+ "ㄒㄧㄣ4"
+ ],
+ "𦉟": [
+ "ㄧㄚ4"
+ ],
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+ ],
+ "𦉧": [
+ "ㄧㄚ4"
+ ],
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+ ],
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+ "ㄉㄧ2"
+ ],
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+ "ㄆㄧ2"
+ ],
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+ "ㄏㄨ4"
+ ],
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+ "ㄘㄣ2"
+ ],
+ "𦊊": [
+ "ㄊㄧㄢ1"
+ ],
+ "𦊋": [
+ "ㄇㄡ3"
+ ],
+ "𦊌": [
+ "ㄐㄩㄢ3"
+ ],
+ "𦊎": [
+ "ㄇㄡ3"
+ ],
+ "𦊐": [
+ "ㄐㄩ4"
+ ],
+ "𦊑": [
+ "ㄌㄧㄡ3"
+ ],
+ "𦊓": [
+ "ㄌㄧㄥ3"
+ ],
+ "𦊗": [
+ "ㄌㄧㄡ3"
+ ],
+ "𦊘": [
+ "ㄏㄨ4"
+ ],
+ "𦊦": [
+ "ㄈㄨ2"
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+ "𦊧": [
+ "ㄏㄨ2"
+ ],
+ "𦊪": [
+ "ㄜ4"
+ ],
+ "𦊫": [
+ "ㄍㄨㄥ1"
+ ],
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+ "ㄍㄨ1"
+ ],
+ "𦊱": [
+ "ㄍㄨㄚ4"
+ ],
+ "𦊹": [
+ "ㄌㄩㄝ4"
+ ],
+ "𦊻": [
+ "ㄈㄢ2"
+ ],
+ "𦊼": [
+ "ㄌㄩ4"
+ ],
+ "𦊽": [
+ "ㄇㄥ2"
+ ],
+ "𦊾": [
+ "ㄈㄨ2"
+ ],
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+ "ㄌㄧㄡ2"
+ ],
+ "𦋅": [
+ "ㄒㄧㄝ2"
+ ],
+ "𦋆": [
+ "ㄍㄨ1"
+ ],
+ "𦋈": [
+ "ㄒㄧㄢ4"
+ ],
+ "𦋉": [
+ "ㄅㄛ2"
+ ],
+ "𦋋": [
+ "ㄐㄧ4"
+ ],
+ "𦋓": [
+ "ㄑㄩㄢ1"
+ ],
+ "𦋔": [
+ "ㄌㄨ4"
+ ],
+ "𦋞": [
+ "ㄕㄨㄛ4"
+ ],
+ "𦋡": [
+ "ㄇㄡ3"
+ ],
+ "𦋢": [
+ "ㄩ4"
+ ],
+ "𦋣": [
+ "ㄏㄢ4"
+ ],
+ "𦋩": [
+ "ㄩㄝ4"
+ ],
+ "𦋪": [
+ "ㄉㄢ4"
+ ],
+ "𦋯": [
+ "ㄩ2"
+ ],
+ "𦋰": [
+ "ㄐㄧㄢ1"
+ ],
+ "𦋳": [
+ "ㄍㄤ1"
+ ],
+ "𦋿": [
+ "ㄘㄠ2"
+ ],
+ "𦌀": [
+ "ㄕㄣ4"
+ ],
+ "𦌁": [
+ "ㄌㄧㄡ3",
+ "ㄌㄡ2"
+ ],
+ "𦌆": [
+ "ㄐㄧㄠ1"
+ ],
+ "𦌉": [
+ "ㄙㄨ4"
+ ],
+ "𦌊": [
+ "ㄙㄨ4"
+ ],
+ "𦌋": [
+ "ㄓㄨㄥ4"
+ ],
+ "𦌒": [
+ "ㄌㄧㄠ4"
+ ],
+ "𦌔": [
+ "ㄒㄩㄢ3"
+ ],
+ "𦌕": [
+ "ㄌㄨ4"
+ ],
+ "𦌗": [
+ "ㄐㄧ4"
+ ],
+ "𦌚": [
+ "ㄧㄢ2"
+ ],
+ "𦌟": [
+ "ㄌㄨ4"
+ ],
+ "𦌡": [
+ "ㄇㄧㄣ3"
+ ],
+ "𦌢": [
+ "ㄊㄧ2"
+ ],
+ "𦌦": [
+ "ㄏㄨㄢ4"
+ ],
+ "𦌩": [
+ "ㄧ4"
+ ],
+ "𦌪": [
+ "ㄊㄢ3"
+ ],
+ "𦌬": [
+ "ㄨ3",
+ "ㄨ2"
+ ],
+ "𦌰": [
+ "ㄐㄧ1"
+ ],
+ "𦌷": [
+ "ㄉㄨ2"
+ ],
+ "𦌸": [
+ "ㄎㄨㄣ1"
+ ],
+ "𦌺": [
+ "ㄐㄩㄣ1"
+ ],
+ "𦌿": [
+ "ㄕ1"
+ ],
+ "𦍀": [
+ "ㄋㄢ4"
+ ],
+ "𦍁": [
+ "ㄆㄛ4"
+ ],
+ "𦍄": [
+ "ㄕㄨ1"
+ ],
+ "𦍅": [
+ "ㄑㄩㄢ4"
+ ],
+ "𦍌": [
+ "ㄖㄣ4"
+ ],
+ "𦍏": [
+ "ㄈㄣ2"
+ ],
+ "𦍒": [
+ "ㄊㄚ4"
+ ],
+ "𦍓": [
+ "ㄊㄨㄣ2"
+ ],
+ "𦍕": [
+ "ㄧㄤ2"
+ ],
+ "𦍦": [
+ "ㄉㄨㄛ1"
+ ],
+ "𦍧": [
+ "ㄘ1"
+ ],
+ "𦍩": [
+ "ㄍㄨ3"
+ ],
+ "𦍪": [
+ "ㄈㄣ2"
+ ],
+ "𦍭": [
+ "ㄖㄡ2"
+ ],
+ "𦍱": [
+ "ㄍㄠ1"
+ ],
+ "𦍲": [
+ "ㄒㄧㄤ2",
+ "ㄧㄤ4"
+ ],
+ "𦍴": [
+ "ㄒㄧㄤ2"
+ ],
+ "𦍵": [
+ "ㄏㄡ3"
+ ],
+ "𦍷": [
+ "ㄊㄠ1"
+ ],
+ "𦍸": [
+ "ㄕㄢ4"
+ ],
+ "𦍹": [
+ "ㄧㄤ2"
+ ],
+ "𦍺": [
+ "ㄗ4"
+ ],
+ "𦍼": [
+ "ㄩㄢ2"
+ ],
+ "𦎄": [
+ "ㄙㄨ2"
+ ],
+ "𦎇": [
+ "ㄔㄨㄢ4"
+ ],
+ "𦎈": [
+ "ㄒㄧㄤ2",
+ "ㄒㄧㄝ4"
+ ],
+ "𦎊": [
+ "ㄅㄢ1"
+ ],
+ "𦎌": [
+ "ㄇㄢ3"
+ ],
+ "𦎎": [
+ "ㄈㄨ3"
+ ],
+ "𦎏": [
+ "ㄌㄚ3"
+ ],
+ "𦎐": [
+ "ㄌㄧ3"
+ ],
+ "𦎒": [
+ "ㄐㄧㄝ2"
+ ],
+ "𦎓": [
+ "ㄧㄡ1"
+ ],
+ "𦎘": [
+ "ㄩ4"
+ ],
+ "𦎚": [
+ "ㄔ4"
+ ],
+ "𦎜": [
+ "ㄔㄨㄢ4"
+ ],
+ "𦎝": [
+ "ㄧ4"
+ ],
+ "𦎞": [
+ "ㄕㄢ1"
+ ],
+ "𦎢": [
+ "ㄐㄧ2"
+ ],
+ "𦎣": [
+ "ㄧㄢ1"
+ ],
+ "𦎦": [
+ "ㄨ4"
+ ],
+ "𦎧": [
+ "ㄔㄨㄣ2",
+ "ㄉㄨㄣ1",
+ "ㄉㄨㄣ4"
+ ],
+ "𦎨": [
+ "ㄇㄤ2"
+ ],
+ "𦎭": [
+ "ㄈㄨ2"
+ ],
+ "𦎮": [
+ "ㄐㄧㄚ1"
+ ],
+ "𦎯": [
+ "ㄍㄡ4"
+ ],
+ "𦎰": [
+ "ㄍㄨ2"
+ ],
+ "𦎱": [
+ "ㄐㄧㄚ2"
+ ],
+ "𦎵": [
+ "ㄒㄧㄢ2"
+ ],
+ "𦎷": [
+ "ㄐㄧㄣ4"
+ ],
+ "𦎸": [
+ "ㄗ4"
+ ],
+ "𦎹": [
+ "ㄌㄡ2"
+ ],
+ "𦎼": [
+ "ㄍㄡ4"
+ ],
+ "𦏀": [
+ "ㄖㄣ2"
+ ],
+ "𦏂": [
+ "ㄕㄢ1"
+ ],
+ "𦏅": [
+ "ㄐㄩㄝ2"
+ ],
+ "𦏆": [
+ "ㄊㄨㄥ2"
+ ],
+ "𦏇": [
+ "ㄧㄡ3"
+ ],
+ "𦏔": [
+ "ㄐㄧㄢ1"
+ ],
+ "𦏕": [
+ "ㄉㄨ2"
+ ],
+ "𦏗": [
+ "ㄏㄨ2"
+ ],
+ "𦏛": [
+ "ㄙㄠ1"
+ ],
+ "𦏜": [
+ "ㄩ4"
+ ],
+ "𦏢": [
+ "ㄇㄞ4"
+ ],
+ "𦏤": [
+ "ㄓ1"
+ ],
+ "𦏥": [
+ "ㄧㄢ1"
+ ],
+ "𦏦": [
+ "ㄍㄠ1"
+ ],
+ "𦏨": [
+ "ㄏㄨㄞ4"
+ ],
+ "𦏮": [
+ "ㄑㄩㄢ2"
+ ],
+ "𦏱": [
+ "ㄧㄤ3",
+ "ㄔㄞ4"
+ ],
+ "𦏳": [
+ "ㄗㄨㄟ3"
+ ],
+ "𦏷": [
+ "ㄒㄧㄠ1"
+ ],
+ "𦏸": [
+ "ㄧ4",
+ "ㄔ2"
+ ],
+ "𦏹": [
+ "ㄧㄢ3"
+ ],
+ "𦏺": [
+ "ㄏㄨㄥ2",
+ "ㄍㄨㄥ4"
+ ],
+ "𦏻": [
+ "ㄩ2",
+ "ㄩ4"
+ ],
+ "𦏿": [
+ "ㄔ4"
+ ],
+ "𦐁": [
+ "ㄔ2"
+ ],
+ "𦐄": [
+ "ㄏㄤ2"
+ ],
+ "𦐅": [
+ "ㄙㄜ4"
+ ],
+ "𦐆": [
+ "ㄆㄚ1"
+ ],
+ "𦐇": [
+ "ㄊㄚ4"
+ ],
+ "𦐈": [
+ "ㄈㄣ1"
+ ],
+ "𦐉": [
+ "ㄔ1"
+ ],
+ "𦐌": [
+ "ㄏㄨㄥ2"
+ ],
+ "𦐍": [
+ "ㄒㄩㄝ4"
+ ],
+ "𦐖": [
+ "ㄓ3"
+ ],
+ "𦐛": [
+ "ㄑㄩ2",
+ "ㄩ4"
+ ],
+ "𦐠": [
+ "ㄒㄧ1"
+ ],
+ "𦐡": [
+ "ㄈㄨ2"
+ ],
+ "𦐣": [
+ "ㄕㄨ1"
+ ],
+ "𦐤": [
+ "ㄏㄞ4"
+ ],
+ "𦐦": [
+ "ㄆㄛ4"
+ ],
+ "𦐨": [
+ "ㄘ3"
+ ],
+ "𦐰": [
+ "ㄔㄞ4"
+ ],
+ "𦐳": [
+ "ㄏㄨㄥ1"
+ ],
+ "𦐸": [
+ "ㄆㄠ3"
+ ],
+ "𦐹": [
+ "ㄕㄣ1"
+ ],
+ "𦐺": [
+ "ㄒㄧㄠ1"
+ ],
+ "𦐽": [
+ "ㄒㄩㄢ1",
+ "ㄌㄧㄥ2"
+ ],
+ "𦐾": [
+ "ㄘ3"
+ ],
+ "𦐿": [
+ "ㄊㄧㄥ2"
+ ],
+ "𦑀": [
+ "ㄆㄛ4"
+ ],
+ "𦑇": [
+ "ㄊㄚ4"
+ ],
+ "𦑈": [
+ "ㄔㄚ1"
+ ],
+ "𦑋": [
+ "ㄗㄨ2"
+ ],
+ "𦑌": [
+ "ㄏㄨㄛ4"
+ ],
+ "𦑍": [
+ "ㄒㄩ4"
+ ],
+ "𦑎": [
+ "ㄧㄢ4"
+ ],
+ "𦑏": [
+ "ㄔㄞ4"
+ ],
+ "𦑑": [
+ "ㄊㄨㄛ2"
+ ],
+ "𦑘": [
+ "ㄒㄧㄢ2"
+ ],
+ "𦑙": [
+ "ㄒㄩㄢ1"
+ ],
+ "𦑚": [
+ "ㄏㄡ2"
+ ],
+ "𦑛": [
+ "ㄏㄨㄢ3"
+ ],
+ "𦑜": [
+ "ㄍㄜ2"
+ ],
+ "𦑝": [
+ "ㄔㄨㄥ3"
+ ],
+ "𦑞": [
+ "ㄅㄧ4"
+ ],
+ "𦑟": [
+ "ㄏㄨㄥ1"
+ ],
+ "𦑠": [
+ "ㄏㄨㄥ1"
+ ],
+ "𦑡": [
+ "ㄔ2",
+ "ㄔ1"
+ ],
+ "𦑣": [
+ "ㄔㄚ2"
+ ],
+ "𦑯": [
+ "ㄓㄚ3"
+ ],
+ "𦑱": [
+ "ㄓㄞ2",
+ "ㄏㄨㄛ4"
+ ],
+ "𦑲": [
+ "ㄊㄚ4"
+ ],
+ "𦑵": [
+ "ㄆㄛ4"
+ ],
+ "𦑶": [
+ "ㄊㄚ4"
+ ],
+ "𦑸": [
+ "ㄧㄡ2"
+ ],
+ "𦑹": [
+ "ㄈㄨ2"
+ ],
+ "𦑺": [
+ "ㄘ1"
+ ],
+ "𦑻": [
+ "ㄉㄚ2"
+ ],
+ "𦑼": [
+ "ㄊㄚ3"
+ ],
+ "𦑾": [
+ "ㄌㄧㄡ2"
+ ],
+ "𦒁": [
+ "ㄘ1"
+ ],
+ "𦒃": [
+ "ㄏㄨㄥ1"
+ ],
+ "𦒅": [
+ "ㄏㄢ4"
+ ],
+ "𦒆": [
+ "ㄌㄚ1"
+ ],
+ "𦒈": [
+ "ㄕ1"
+ ],
+ "𦒍": [
+ "ㄊㄨㄥ2"
+ ],
+ "𦒎": [
+ "ㄏㄨㄟ4"
+ ],
+ "𦒏": [
+ "ㄏㄜ2"
+ ],
+ "𦒐": [
+ "ㄆㄧㄝ1"
+ ],
+ "𦒑": [
+ "ㄩ4"
+ ],
+ "𦒜": [
+ "ㄒㄧㄢ1"
+ ],
+ "𦒝": [
+ "ㄏㄢ3"
+ ],
+ "𦒟": [
+ "ㄆㄛ4"
+ ],
+ "𦒦": [
+ "ㄌㄚ4"
+ ],
+ "𦒧": [
+ "ㄏㄨㄛ4"
+ ],
+ "𦒰": [
+ "ㄊㄞ4"
+ ],
+ "𦒴": [
+ "ㄌㄠ3"
+ ],
+ "𦒶": [
+ "ㄕㄨ4"
+ ],
+ "𦒺": [
+ "ㄉㄠ4"
+ ],
+ "𦒻": [
+ "ㄉㄧㄢ3"
+ ],
+ "𦓈": [
+ "ㄒㄩㄥ4"
+ ],
+ "𦓋": [
+ "ㄨㄤ4"
+ ],
+ "𦓍": [
+ "ㄔㄜ3"
+ ],
+ "𦓎": [
+ "ㄋㄞ4"
+ ],
+ "𦓐": [
+ "ㄐㄩㄝ2"
+ ],
+ "𦓓": [
+ "ㄦ2",
+ "ㄌㄧㄝ4"
+ ],
+ "𦓔": [
+ "ㄦ2",
+ "ㄒㄩ1"
+ ],
+ "𦓕": [
+ "ㄋㄩ2"
+ ],
+ "𦓖": [
+ "ㄋㄩ4"
+ ],
+ "𦓝": [
+ "ㄓㄨㄢ3"
+ ],
+ "𦓢": [
+ "ㄋㄨㄛ4"
+ ],
+ "𦓤": [
+ "ㄌㄧㄝ4"
+ ],
+ "𦓥": [
+ "ㄌㄟ3"
+ ],
+ "𦓧": [
+ "ㄅㄚ1"
+ ],
+ "𦓬": [
+ "ㄔㄥ1"
+ ],
+ "𦓯": [
+ "ㄍㄨㄟ1"
+ ],
+ "𦓰": [
+ "ㄑㄩㄢ2"
+ ],
+ "𦓱": [
+ "ㄍㄜ4"
+ ],
+ "𦓳": [
+ "ㄍㄨㄥ3"
+ ],
+ "𦓴": [
+ "ㄕㄠ4",
+ "ㄕㄠ1"
+ ],
+ "𦓹": [
+ "ㄌㄞ2"
+ ],
+ "𦓺": [
+ "ㄓㄥ1"
+ ],
+ "𦓻": [
+ "ㄧ4"
+ ],
+ "𦓼": [
+ "ㄍㄨㄣ3"
+ ],
+ "𦓽": [
+ "ㄨㄟ1"
+ ],
+ "𦓾": [
+ "ㄌㄨㄣ3",
+ "ㄎㄨㄣ3"
+ ],
+ "𦔂": [
+ "ㄕ2"
+ ],
+ "𦔃": [
+ "ㄧㄥ1"
+ ],
+ "𦔄": [
+ "ㄕㄥ3"
+ ],
+ "𦔅": [
+ "ㄊㄨ2"
+ ],
+ "𦔆": [
+ "ㄅㄧ4"
+ ],
+ "𦔈": [
+ "ㄗㄜ2"
+ ],
+ "𦔉": [
+ "ㄓㄨㄥ4"
+ ],
+ "𦔋": [
+ "ㄖㄨㄥ3"
+ ],
+ "𦔌": [
+ "ㄑㄧ2",
+ "ㄙ2"
+ ],
+ "𦔍": [
+ "ㄈㄨ4"
+ ],
+ "𦔎": [
+ "ㄘㄜ4"
+ ],
+ "𦔓": [
+ "ㄌㄧ2"
+ ],
+ "𦔔": [
+ "ㄇㄢ2",
+ "ㄇㄢ4"
+ ],
+ "𦔖": [
+ "ㄌㄧㄢ2"
+ ],
+ "𦔗": [
+ "ㄅㄧㄠ1"
+ ],
+ "𦔛": [
+ "ㄔㄨㄤ2"
+ ],
+ "𦔜": [
+ "ㄧ4"
+ ],
+ "𦔠": [
+ "ㄆㄞ4"
+ ],
+ "𦔥": [
+ "ㄧ4",
+ "ㄕ4"
+ ],
+ "𦔦": [
+ "ㄎㄨㄞ4"
+ ],
+ "𦔩": [
+ "ㄅㄧㄠ1",
+ "ㄆㄠ1"
+ ],
+ "𦔫": [
+ "ㄔ4",
+ "ㄧ4"
+ ],
+ "𦔬": [
+ "ㄑㄩ2"
+ ],
+ "𦔭": [
+ "ㄇㄛ4"
+ ],
+ "𦔮": [
+ "ㄓㄜ2"
+ ],
+ "𦔯": [
+ "ㄕㄚ4"
+ ],
+ "𦔰": [
+ "ㄕㄚ4",
+ "ㄒㄩ1"
+ ],
+ "𦔷": [
+ "ㄧㄠ1"
+ ],
+ "𦔸": [
+ "ㄍㄨㄥ1"
+ ],
+ "𦔹": [
+ "ㄋㄞ4"
+ ],
+ "𦔼": [
+ "ㄒㄧㄝ4"
+ ],
+ "𦔿": [
+ "ㄊㄧㄢ4"
+ ],
+ "𦕆": [
+ "ㄧㄝ2"
+ ],
+ "𦕉": [
+ "ㄕㄚ1"
+ ],
+ "𦕏": [
+ "ㄙㄠ4"
+ ],
+ "𦕒": [
+ "ㄉㄧㄢ1"
+ ],
+ "𦕓": [
+ "ㄒㄩ4"
+ ],
+ "𦕙": [
+ "ㄑㄩ2"
+ ],
+ "𦕠": [
+ "ㄏㄨㄥ1"
+ ],
+ "𦕡": [
+ "ㄕㄥ4"
+ ],
+ "𦕢": [
+ "ㄊㄧㄥ4"
+ ],
+ "𦕰": [
+ "ㄉㄨㄛ5"
+ ],
+ "𦕵": [
+ "ㄌㄧㄠ2"
+ ],
+ "𦕷": [
+ "ㄏㄨㄥ4"
+ ],
+ "𦕸": [
+ "ㄌㄧ3"
+ ],
+ "𦕺": [
+ "ㄒㄧㄤ3",
+ "ㄍㄠ1"
+ ],
+ "𦕽": [
+ "ㄕㄣ4"
+ ],
+ "𦖀": [
+ "ㄈㄨ1"
+ ],
+ "𦖈": [
+ "ㄧㄢ3"
+ ],
+ "𦖉": [
+ "ㄨㄤ3"
+ ],
+ "𦖊": [
+ "ㄑㄧ1"
+ ],
+ "𦖋": [
+ "ㄉㄨㄛ3"
+ ],
+ "𦖍": [
+ "ㄏㄨㄚ4"
+ ],
+ "𦖎": [
+ "ㄑㄧㄢ1"
+ ],
+ "𦖐": [
+ "ㄒㄧㄝ4"
+ ],
+ "𦖝": [
+ "ㄘ4"
+ ],
+ "𦖞": [
+ "ㄕㄥ1",
+ "ㄨㄣ2"
+ ],
+ "𦖢": [
+ "ㄦ4"
+ ],
+ "𦖤": [
+ "ㄒㄧㄥ1"
+ ],
+ "𦖦": [
+ "ㄊㄨㄟ4"
+ ],
+ "𦖧": [
+ "ㄧㄢ4"
+ ],
+ "𦖩": [
+ "ㄌㄧㄝ4"
+ ],
+ "𦖬": [
+ "ㄇㄧ2"
+ ],
+ "𦖸": [
+ "ㄗㄨㄥ4"
+ ],
+ "𦖺": [
+ "ㄗ1"
+ ],
+ "𦖼": [
+ "ㄏㄨ2"
+ ],
+ "𦖽": [
+ "ㄧㄥ2"
+ ],
+ "𦖾": [
+ "ㄌㄧㄢ2"
+ ],
+ "𦖿": [
+ "ㄉㄚ1"
+ ],
+ "𦗀": [
+ "ㄊㄧㄢ2"
+ ],
+ "𦗁": [
+ "ㄊㄧㄢ4"
+ ],
+ "𦗋": [
+ "ㄖㄨㄥ2"
+ ],
+ "𦗍": [
+ "ㄞ4"
+ ],
+ "𦗐": [
+ "ㄞ4"
+ ],
+ "𦗑": [
+ "ㄓㄜ2"
+ ],
+ "𦗒": [
+ "ㄍㄨㄛ1"
+ ],
+ "𦗓": [
+ "ㄌㄨ4"
+ ],
+ "𦗔": [
+ "ㄓㄠ1"
+ ],
+ "𦗕": [
+ "ㄇㄧ2"
+ ],
+ "𦗖": [
+ "ㄌㄧㄠ2"
+ ],
+ "𦗗": [
+ "ㄓㄜ2"
+ ],
+ "𦗛": [
+ "ㄑㄩ3"
+ ],
+ "𦗜": [
+ "ㄘㄨㄥ1"
+ ],
+ "𦗟": [
+ "ㄊㄧㄥ1",
+ "ㄊㄜ4"
+ ],
+ "𦗡": [
+ "ㄊㄢ2"
+ ],
+ "𦗢": [
+ "ㄓㄢ3"
+ ],
+ "𦗣": [
+ "ㄏㄨ2"
+ ],
+ "𦗥": [
+ "ㄆㄧㄝ1"
+ ],
+ "𦗧": [
+ "ㄉㄚ1"
+ ],
+ "𦗨": [
+ "ㄖㄨㄥ2"
+ ],
+ "𦗮": [
+ "ㄋㄠ3"
+ ],
+ "𦗳": [
+ "ㄋㄤ2"
+ ],
+ "𦗴": [
+ "ㄉㄤ1"
+ ],
+ "𦗵": [
+ "ㄐㄧㄠ3"
+ ],
+ "𦗻": [
+ "ㄐㄩ4"
+ ],
+ "𦗼": [
+ "ㄦ3"
+ ],
+ "𦘊": [
+ "ㄌㄧ4"
+ ],
+ "𦘌": [
+ "ㄍㄨㄛ1"
+ ],
+ "𦘍": [
+ "ㄨㄞ4",
+ "ㄨㄚ4"
+ ],
+ "𦘒": [
+ "ㄋㄧㄝ4"
+ ],
+ "𦘔": [
+ "ㄐㄧㄣ1"
+ ],
+ "𦘩": [
+ "ㄆㄧ3"
+ ],
+ "𦘪": [
+ "ㄔ4"
+ ],
+ "𦘲": [
+ "ㄆㄧ3"
+ ],
+ "𦘳": [
+ "ㄧ4"
+ ],
+ "𦘴": [
+ "ㄉㄨ1"
+ ],
+ "𦘵": [
+ "ㄨㄚ3"
+ ],
+ "𦘶": [
+ "ㄒㄩㄣ1"
+ ],
+ "𦘸": [
+ "ㄑㄧ4"
+ ],
+ "𦘹": [
+ "ㄕㄢ4",
+ "ㄩㄝ4"
+ ],
+ "𦘼": [
+ "ㄒㄩ1"
+ ],
+ "𦘿": [
+ "ㄏㄜ1"
+ ],
+ "𦙀": [
+ "ㄆㄢ4"
+ ],
+ "𦙂": [
+ "ㄆㄟ1"
+ ],
+ "𦙄": [
+ "ㄒㄩㄥ1"
+ ],
+ "𦙆": [
+ "ㄔ3"
+ ],
+ "𦙇": [
+ "ㄊㄢ1"
+ ],
+ "𦙈": [
+ "ㄗㄨㄟ4",
+ "ㄘㄨㄟ4"
+ ],
+ "𦙉": [
+ "ㄗㄨㄢ3"
+ ],
+ "𦙊": [
+ "ㄑㄧ4"
+ ],
+ "𦙋": [
+ "ㄉㄨ1"
+ ],
+ "𦙙": [
+ "ㄕㄨㄟ3"
+ ],
+ "𦙜": [
+ "ㄋㄚ3"
+ ],
+ "𦙝": [
+ "ㄒㄧ1"
+ ],
+ "𦙧": [
+ "ㄔㄠ3"
+ ],
+ "𦙨": [
+ "ㄧ4"
+ ],
+ "𦙫": [
+ "ㄓㄥ1"
+ ],
+ "𦙮": [
+ "ㄐㄩ2"
+ ],
+ "𦙯": [
+ "ㄉㄞ4"
+ ],
+ "𦙱": [
+ "ㄙㄢ1"
+ ],
+ "𦙴": [
+ "ㄓㄨ4"
+ ],
+ "𦙵": [
+ "ㄨㄢ4"
+ ],
+ "𦙶": [
+ "ㄍㄨ3"
+ ],
+ "𦙸": [
+ "ㄙㄢ1"
+ ],
+ "𦙹": [
+ "ㄅㄢ4"
+ ],
+ "𦙺": [
+ "ㄐㄧㄚ4",
+ "ㄐㄧㄚ1"
+ ],
+ "𦙻": [
+ "ㄇㄞ4"
+ ],
+ "𦚈": [
+ "ㄊㄨㄛ4",
+ "ㄉㄨ4"
+ ],
+ "𦚊": [
+ "ㄑㄧ4"
+ ],
+ "𦚏": [
+ "ㄓㄨㄤ1"
+ ],
+ "𦚐": [
+ "ㄊㄨㄛ2"
+ ],
+ "𦚓": [
+ "ㄆㄧㄥ2"
+ ],
+ "𦚝": [
+ "ㄆㄥ1"
+ ],
+ "𦚞": [
+ "ㄎㄨㄤ1",
+ "ㄎㄨㄤ4"
+ ],
+ "𦚟": [
+ "ㄧ2"
+ ],
+ "𦚡": [
+ "ㄒㄧㄝ4",
+ "ㄇㄞ4"
+ ],
+ "𦚢": [
+ "ㄩㄝ1"
+ ],
+ "𦚣": [
+ "ㄏㄣ2"
+ ],
+ "𦚥": [
+ "ㄏㄡ2",
+ "ㄧㄡ2"
+ ],
+ "𦚦": [
+ "ㄓㄥ1"
+ ],
+ "𦚧": [
+ "ㄔㄨㄣ3"
+ ],
+ "𦚨": [
+ "ㄕ4"
+ ],
+ "𦚩": [
+ "ㄨㄚ3"
+ ],
+ "𦚫": [
+ "ㄒㄧㄝ2"
+ ],
+ "𦚸": [
+ "ㄍㄥ4"
+ ],
+ "𦛅": [
+ "ㄜ4"
+ ],
+ "𦛏": [
+ "ㄎㄨ2"
+ ],
+ "𦛐": [
+ "ㄋㄚ4"
+ ],
+ "𦛓": [
+ "ㄐㄩ1"
+ ],
+ "𦛔": [
+ "ㄒㄩㄢ4"
+ ],
+ "𦛕": [
+ "ㄑㄩ1"
+ ],
+ "𦛖": [
+ "ㄔㄜ4"
+ ],
+ "𦛗": [
+ "ㄌㄩ3"
+ ],
+ "𦛘": [
+ "ㄏㄜ2"
+ ],
+ "𦛙": [
+ "ㄕㄥ4"
+ ],
+ "𦛚": [
+ "ㄋㄢ4"
+ ],
+ "𦛜": [
+ "ㄏㄜ2",
+ "ㄏㄢ2"
+ ],
+ "𦛝": [
+ "ㄔㄚ2"
+ ],
+ "𦛞": [
+ "ㄧㄢ1"
+ ],
+ "𦛟": [
+ "ㄍㄥ3"
+ ],
+ "𦛠": [
+ "ㄋㄧㄝ4"
+ ],
+ "𦛢": [
+ "ㄍㄨㄛ2"
+ ],
+ "𦛣": [
+ "ㄧㄢ2"
+ ],
+ "𦛤": [
+ "ㄍㄨㄢ3"
+ ],
+ "𦛧": [
+ "ㄓ4"
+ ],
+ "𦛨": [
+ "ㄌㄠ5"
+ ],
+ "𦛯": [
+ "ㄉㄨ3"
+ ],
+ "𦛰": [
+ "ㄑㄧ4"
+ ],
+ "𦛱": [
+ "ㄑㄩ1"
+ ],
+ "𦛲": [
+ "ㄐㄩㄝ2"
+ ],
+ "𦜁": [
+ "ㄈㄥ1"
+ ],
+ "𦜃": [
+ "ㄒㄩ4"
+ ],
+ "𦜄": [
+ "ㄊㄨㄟ4"
+ ],
+ "𦜆": [
+ "ㄏㄢ2"
+ ],
+ "𦜇": [
+ "ㄎㄨ1"
+ ],
+ "𦜊": [
+ "ㄕㄣ1"
+ ],
+ "𦜋": [
+ "ㄓ4"
+ ],
+ "𦜍": [
+ "ㄆㄤ4"
+ ],
+ "𦜎": [
+ "ㄓㄥ1"
+ ],
+ "𦜏": [
+ "ㄌㄧ4"
+ ],
+ "𦜐": [
+ "ㄨㄢ3"
+ ],
+ "𦜒": [
+ "ㄈㄢ3"
+ ],
+ "𦜓": [
+ "ㄒㄧㄣ4"
+ ],
+ "𦜖": [
+ "ㄧㄚ4"
+ ],
+ "𦜛": [
+ "ㄐㄩ1"
+ ],
+ "𦜜": [
+ "ㄕㄣ4"
+ ],
+ "𦜭": [
+ "ㄇㄤ3"
+ ],
+ "𦜯": [
+ "ㄊㄨㄣ3"
+ ],
+ "𦜰": [
+ "ㄓㄨㄛ2"
+ ],
+ "𦜱": [
+ "ㄒㄧ1"
+ ],
+ "𦜲": [
+ "ㄧㄣ4"
+ ],
+ "𦜳": [
+ "ㄐㄧㄥ1"
+ ],
+ "𦜴": [
+ "ㄊㄨㄣ2"
+ ],
+ "𦜷": [
+ "ㄍㄥ4"
+ ],
+ "𦜸": [
+ "ㄐㄧ4"
+ ],
+ "𦝏": [
+ "ㄓㄨㄢ3",
+ "ㄕㄨㄢ4"
+ ],
+ "𦝒": [
+ "ㄊㄧㄝ1"
+ ],
+ "𦝔": [
+ "ㄓ1"
+ ],
+ "𦝖": [
+ "ㄐㄧ2"
+ ],
+ "𦝚": [
+ "ㄧㄥ2"
+ ],
+ "𦝛": [
+ "ㄨㄟ4"
+ ],
+ "𦝝": [
+ "ㄏㄨㄢ4"
+ ],
+ "𦝞": [
+ "ㄊㄧㄥ2"
+ ],
+ "𦝟": [
+ "ㄔㄢ2"
+ ],
+ "𦝢": [
+ "ㄎㄨㄟ2"
+ ],
+ "𦝣": [
+ "ㄑㄧㄚ4",
+ "ㄎㄜ1"
+ ],
+ "𦝤": [
+ "ㄅㄢ4"
+ ],
+ "𦝥": [
+ "ㄔㄚ1",
+ "ㄓㄚ2"
+ ],
+ "𦝦": [
+ "ㄊㄨㄛ3"
+ ],
+ "𦝧": [
+ "ㄋㄢ3"
+ ],
+ "𦝨": [
+ "ㄐㄧㄝ1"
+ ],
+ "𦝪": [
+ "ㄧㄢ1"
+ ],
+ "𦝬": [
+ "ㄊㄨ2"
+ ],
+ "𦝮": [
+ "ㄨㄣ3"
+ ],
+ "𦝰": [
+ "ㄘㄨㄥ1"
+ ],
+ "𦝳": [
+ "ㄒㄩ4"
+ ],
+ "𦝴": [
+ "ㄧㄣ4"
+ ],
+ "𦝷": [
+ "ㄅㄥ4"
+ ],
+ "𦝼": [
+ "ㄌㄩ2",
+ "ㄌㄡ2"
+ ],
+ "𦞁": [
+ "ㄗㄞ1"
+ ],
+ "𦞂": [
+ "ㄉㄚ1",
+ "ㄉㄚ5"
+ ],
+ "𦞆": [
+ "ㄋㄧㄝ4"
+ ],
+ "𦞇": [
+ "ㄐㄩ3"
+ ],
+ "𦞈": [
+ "ㄏㄡ2"
+ ],
+ "𦞌": [
+ "ㄍㄥ4"
+ ],
+ "𦞕": [
+ "ㄏㄡ2"
+ ],
+ "𦞖": [
+ "ㄎㄢ1"
+ ],
+ "𦞗": [
+ "ㄍㄨㄥ1"
+ ],
+ "𦞙": [
+ "ㄏㄨㄟ3"
+ ],
+ "𦞚": [
+ "ㄒㄧㄝ4"
+ ],
+ "𦞝": [
+ "ㄒㄧ4"
+ ],
+ "𦞞": [
+ "ㄏㄢ2"
+ ],
+ "𦞟": [
+ "ㄇㄧ2"
+ ],
+ "𦞡": [
+ "ㄨㄥ3"
+ ],
+ "𦞢": [
+ "ㄏㄨㄣ4"
+ ],
+ "𦞣": [
+ "ㄙㄠ1"
+ ],
+ "𦞤": [
+ "ㄒㄧㄣ4",
+ "ㄗ3"
+ ],
+ "𦞥": [
+ "ㄓㄜ2"
+ ],
+ "𦞦": [
+ "ㄏㄨㄛ4",
+ "ㄏㄜ4"
+ ],
+ "𦞨": [
+ "ㄍㄨㄥ1"
+ ],
+ "𦞫": [
+ "ㄙㄞ4"
+ ],
+ "𦞬": [
+ "ㄐㄧㄣ1",
+ "ㄐㄧㄢ4"
+ ],
+ "𦞭": [
+ "ㄨㄚ1"
+ ],
+ "𦞱": [
+ "ㄉㄨㄟ3"
+ ],
+ "𦞲": [
+ "ㄔ1"
+ ],
+ "𦞽": [
+ "ㄒㄧ1",
+ "ㄨㄟ4",
+ "ㄐㄧ2"
+ ],
+ "𦟂": [
+ "ㄇㄧ2"
+ ],
+ "𦟃": [
+ "ㄗㄤ1"
+ ],
+ "𦟄": [
+ "ㄙㄤ3",
+ "ㄙㄠ4"
+ ],
+ "𦟓": [
+ "ㄊㄨㄣ2"
+ ],
+ "𦟔": [
+ "ㄓ4"
+ ],
+ "𦟕": [
+ "ㄨㄣ3"
+ ],
+ "𦟘": [
+ "ㄧㄣ2"
+ ],
+ "𦟙": [
+ "ㄊㄨㄣ3"
+ ],
+ "𦟛": [
+ "ㄔㄨㄥ1"
+ ],
+ "𦟜": [
+ "ㄗㄜ2"
+ ],
+ "𦟞": [
+ "ㄒㄧㄠ1"
+ ],
+ "𦟟": [
+ "ㄇㄛ2"
+ ],
+ "𦟠": [
+ "ㄘㄨ4"
+ ],
+ "𦟣": [
+ "ㄅㄧㄢ3"
+ ],
+ "𦟤": [
+ "ㄒㄧㄡ1"
+ ],
+ "𦟧": [
+ "ㄧ2"
+ ],
+ "𦟮": [
+ "ㄏㄨㄤ3"
+ ],
+ "𦟰": [
+ "ㄓㄚ1"
+ ],
+ "𦟱": [
+ "ㄙㄨㄛ1"
+ ],
+ "𦟲": [
+ "ㄏㄨㄣ2"
+ ],
+ "𦟳": [
+ "ㄐㄩ4"
+ ],
+ "𦠁": [
+ "ㄘㄨ4"
+ ],
+ "𦠄": [
+ "ㄐㄧ1"
+ ],
+ "𦠅": [
+ "ㄒㄩㄣ2"
+ ],
+ "𦠆": [
+ "ㄙㄨㄣ3",
+ "ㄓㄨㄢ4"
+ ],
+ "𦠇": [
+ "ㄘㄥ2"
+ ],
+ "𦠉": [
+ "ㄧ4"
+ ],
+ "𦠎": [
+ "ㄅㄧㄠ1"
+ ],
+ "𦠒": [
+ "ㄐㄩㄝ2"
+ ],
+ "𦠓": [
+ "ㄌㄧ4"
+ ],
+ "𦠖": [
+ "ㄆㄠ4"
+ ],
+ "𦠛": [
+ "ㄗㄚ1"
+ ],
+ "𦠜": [
+ "ㄧㄝ4"
+ ],
+ "𦠞": [
+ "ㄅㄧ4"
+ ],
+ "𦠟": [
+ "ㄓㄜ4"
+ ],
+ "𦠠": [
+ "ㄓㄜ4"
+ ],
+ "𦠢": [
+ "ㄐㄧㄡ4"
+ ],
+ "𦠣": [
+ "ㄓㄜ2"
+ ],
+ "𦠦": [
+ "ㄕㄨ4"
+ ],
+ "𦠪": [
+ "ㄒㄧ1"
+ ],
+ "𦠷": [
+ "ㄒㄩ3"
+ ],
+ "𦠸": [
+ "ㄋㄞ3"
+ ],
+ "𦠹": [
+ "ㄒㄧㄢ2"
+ ],
+ "𦠺": [
+ "ㄍㄨㄣ3"
+ ],
+ "𦠻": [
+ "ㄨㄟ4"
+ ],
+ "𦠾": [
+ "ㄐㄧ2"
+ ],
+ "𦠿": [
+ "ㄙㄚ4"
+ ],
+ "𦡂": [
+ "ㄉㄨㄥ3"
+ ],
+ "𦡃": [
+ "ㄋㄨㄛ2",
+ "ㄋㄧㄝ2"
+ ],
+ "𦡄": [
+ "ㄉㄨ4"
+ ],
+ "𦡅": [
+ "ㄓㄥ1"
+ ],
+ "𦡆": [
+ "ㄎㄨ1"
+ ],
+ "𦡉": [
+ "ㄇㄧㄥ2"
+ ],
+ "𦡕": [
+ "ㄅㄠ2"
+ ],
+ "𦡖": [
+ "ㄏㄨㄟ4"
+ ],
+ "𦡙": [
+ "ㄗㄨㄥ1"
+ ],
+ "𦡨": [
+ "ㄙㄢ4"
+ ],
+ "𦡪": [
+ "ㄊㄥ1"
+ ],
+ "𦡫": [
+ "ㄧ2"
+ ],
+ "𦡭": [
+ "ㄩ4"
+ ],
+ "𦡱": [
+ "ㄧㄠ4",
+ "ㄕㄠ4"
+ ],
+ "𦡲": [
+ "ㄋㄧㄥ3"
+ ],
+ "𦡴": [
+ "ㄔㄡ2",
+ "ㄓㄡ3"
+ ],
+ "𦡵": [
+ "ㄏㄨㄣ4"
+ ],
+ "𦡷": [
+ "ㄉㄨㄟ4"
+ ],
+ "𦡹": [
+ "ㄑㄧ4"
+ ],
+ "𦡺": [
+ "ㄧㄥ3"
+ ],
+ "𦡻": [
+ "ㄅㄧㄥ4"
+ ],
+ "𦡼": [
+ "ㄋㄧㄥ2"
+ ],
+ "𦡽": [
+ "ㄏㄨㄤ2"
+ ],
+ "𦢆": [
+ "ㄧㄥ3"
+ ],
+ "𦢊": [
+ "ㄅㄠ2",
+ "ㄅㄛ2"
+ ],
+ "𦢎": [
+ "ㄍㄨㄤ4"
+ ],
+ "𦢏": [
+ "ㄌㄟ3"
+ ],
+ "𦢐": [
+ "ㄗㄨㄣ3"
+ ],
+ "𦢙": [
+ "ㄔㄢ3",
+ "ㄑㄧㄢ1",
+ "ㄒㄧㄢ1"
+ ],
+ "𦢣": [
+ "ㄐㄧㄢ3"
+ ],
+ "𦢧": [
+ "ㄇㄥ2"
+ ],
+ "𦢩": [
+ "ㄒㄧㄠ4",
+ "ㄙㄡ1"
+ ],
+ "𦢯": [
+ "ㄒㄧㄣ4",
+ "ㄒㄧㄥ4"
+ ],
+ "𦢱": [
+ "ㄌㄧ2"
+ ],
+ "𦢺": [
+ "ㄑㄧㄠ3"
+ ],
+ "𦢿": [
+ "ㄨㄟ3",
+ "ㄐㄩㄢ3"
+ ],
+ "𦣀": [
+ "ㄋㄚ4",
+ "ㄋㄧㄝ4",
+ "ㄓㄜ2"
+ ],
+ "𦣂": [
+ "ㄆㄤ1"
+ ],
+ "𦣄": [
+ "ㄌㄟ2"
+ ],
+ "𦣇": [
+ "ㄌㄨㄛ2"
+ ],
+ "𦣋": [
+ "ㄌㄨㄢ2"
+ ],
+ "𦣍": [
+ "ㄍㄥ1"
+ ],
+ "𦣏": [
+ "ㄌㄨㄢ2"
+ ],
+ "𦣒": [
+ "ㄑㄩ2"
+ ],
+ "𦣖": [
+ "ㄌㄨㄛ2"
+ ],
+ "𦣘": [
+ "ㄋㄤ2"
+ ],
+ "𦣛": [
+ "ㄌㄨㄛ2"
+ ],
+ "𦣜": [
+ "ㄩㄝ4"
+ ],
+ "𦣢": [
+ "ㄕㄨㄟ4"
+ ],
+ "𦣥": [
+ "ㄇㄧ4"
+ ],
+ "𦣦": [
+ "ㄨㄤ2"
+ ],
+ "𦣧": [
+ "ㄘㄜ4"
+ ],
+ "𦣨": [
+ "ㄐㄧㄢ1"
+ ],
+ "𦣩": [
+ "ㄨㄤ3"
+ ],
+ "𦣯": [
+ "ㄐㄧㄚ1"
+ ],
+ "𦣴": [
+ "ㄏㄨㄢ2"
+ ],
+ "𦣸": [
+ "ㄌㄧㄢ4"
+ ],
+ "𦣹": [
+ "ㄗ4"
+ ],
+ "𦣺": [
+ "ㄅㄞ2"
+ ],
+ "𦣻": [
+ "ㄕㄡ3",
+ "ㄅㄞ3"
+ ],
+ "𦣾": [
+ "ㄨㄢ3"
+ ],
+ "𦤂": [
+ "ㄕㄨ1"
+ ],
+ "𦤇": [
+ "ㄍㄨㄟ1"
+ ],
+ "𦤈": [
+ "ㄒㄧ1"
+ ],
+ "𦤊": [
+ "ㄖㄨ2"
+ ],
+ "𦤋": [
+ "ㄧㄠ4"
+ ],
+ "𦤎": [
+ "ㄍㄠ1"
+ ],
+ "𦤕": [
+ "ㄩㄝ4"
+ ],
+ "𦤘": [
+ "ㄩㄥ1"
+ ],
+ "𦤙": [
+ "ㄨㄚ4"
+ ],
+ "𦤚": [
+ "ㄅㄛ2"
+ ],
+ "𦤟": [
+ "ㄒㄧㄣ4"
+ ],
+ "𦤢": [
+ "ㄆㄧ4"
+ ],
+ "𦤣": [
+ "ㄅㄛ2"
+ ],
+ "𦤦": [
+ "ㄏㄞ4",
+ "ㄏㄜ4",
+ "ㄞ4"
+ ],
+ "𦤧": [
+ "ㄓㄞ4"
+ ],
+ "𦤨": [
+ "ㄨㄛ4"
+ ],
+ "𦤪": [
+ "ㄧㄝ4"
+ ],
+ "𦤫": [
+ "ㄅㄧ4",
+ "ㄅㄧ2"
+ ],
+ "𦤬": [
+ "ㄏㄞ4"
+ ],
+ "𦤸": [
+ "ㄔ4"
+ ],
+ "𦤻": [
+ "ㄓ4"
+ ],
+ "𦤽": [
+ "ㄋㄧ2"
+ ],
+ "𦥁": [
+ "ㄨ2"
+ ],
+ "𦥂": [
+ "ㄞ3"
+ ],
+ "𦥈": [
+ "ㄞ3"
+ ],
+ "𦥉": [
+ "ㄩ3"
+ ],
+ "𦥊": [
+ "ㄔ4"
+ ],
+ "𦥍": [
+ "ㄐㄧㄥ4"
+ ],
+ "𦥎": [
+ "ㄓ4"
+ ],
+ "𦥏": [
+ "ㄓ4"
+ ],
+ "𦥐": [
+ "ㄓ4"
+ ],
+ "𦥑": [
+ "ㄐㄩ2",
+ "ㄐㄩ3",
+ "ㄆㄡ2"
+ ],
+ "𦥖": [
+ "ㄏㄢ2",
+ "ㄒㄧㄢ2"
+ ],
+ "𦥚": [
+ "ㄆㄧㄥ1"
+ ],
+ "𦥝": [
+ "ㄧㄠ3"
+ ],
+ "𦥣": [
+ "ㄧㄡ2"
+ ],
+ "𦥤": [
+ "ㄆㄧㄥ1"
+ ],
+ "𦥦": [
+ "ㄇㄛ4"
+ ],
+ "𦥬": [
+ "ㄗㄨㄛ4"
+ ],
+ "𦥭": [
+ "ㄆㄛ4"
+ ],
+ "𦥯": [
+ "ㄒㄩㄝ2"
+ ],
+ "𦥰": [
+ "ㄎㄨㄤ2"
+ ],
+ "𦥱": [
+ "ㄧ4"
+ ],
+ "𦥲": [
+ "ㄆㄛ4"
+ ],
+ "𦥻": [
+ "ㄓㄨㄟ4"
+ ],
+ "𦦃": [
+ "ㄋㄧ2"
+ ],
+ "𦦄": [
+ "ㄑㄧㄡ3"
+ ],
+ "𦦅": [
+ "ㄘㄡ4"
+ ],
+ "𦦌": [
+ "ㄧㄠ3"
+ ],
+ "𦦑": [
+ "ㄈㄣ2"
+ ],
+ "𦦕": [
+ "ㄒㄧㄚ2"
+ ],
+ "𦦗": [
+ "ㄐㄧㄤ1"
+ ],
+ "𦦘": [
+ "ㄔㄚ1"
+ ],
+ "𦦛": [
+ "ㄒㄧㄠ4"
+ ],
+ "𦦜": [
+ "ㄔㄚ1"
+ ],
+ "𦦢": [
+ "ㄔㄥ2"
+ ],
+ "𦦣": [
+ "ㄘㄨㄟ4"
+ ],
+ "𦦧": [
+ "ㄑㄩㄥ2",
+ "ㄍㄨㄥ3"
+ ],
+ "𦦩": [
+ "ㄩ4"
+ ],
+ "𦦫": [
+ "ㄩ2"
+ ],
+ "𦦯": [
+ "ㄨㄣ4"
+ ],
+ "𦦱": [
+ "ㄔㄚ1"
+ ],
+ "𦦲": [
+ "ㄩ3",
+ "ㄩ4"
+ ],
+ "𦦹": [
+ "ㄗㄨㄛ2"
+ ],
+ "𦦺": [
+ "ㄉㄠ3"
+ ],
+ "𦦽": [
+ "ㄐㄩㄢ4",
+ "ㄈㄢ4"
+ ],
+ "𦦾": [
+ "ㄉㄠ3"
+ ],
+ "𦦿": [
+ "ㄧㄥ1"
+ ],
+ "𦧁": [
+ "ㄈㄥ3"
+ ],
+ "𦧅": [
+ "ㄨㄥ4"
+ ],
+ "𦧈": [
+ "ㄐㄧㄣ4"
+ ],
+ "𦧉": [
+ "ㄑㄧ4"
+ ],
+ "𦧋": [
+ "ㄑㄧㄣ4"
+ ],
+ "𦧍": [
+ "ㄎㄨㄛ4"
+ ],
+ "𦧏": [
+ "ㄊㄢ1"
+ ],
+ "𦧐": [
+ "ㄒㄧㄢ1"
+ ],
+ "𦧒": [
+ "ㄊㄧㄢ1"
+ ],
+ "𦧔": [
+ "ㄎㄨㄛ4"
+ ],
+ "𦧖": [
+ "ㄊㄧㄢ4"
+ ],
+ "𦧘": [
+ "ㄏㄨ2"
+ ],
+ "𦧙": [
+ "ㄓㄨ1"
+ ],
+ "𦧚": [
+ "ㄓㄢ1"
+ ],
+ "𦧛": [
+ "ㄊㄚ4"
+ ],
+ "𦧝": [
+ "ㄊㄧㄢ1"
+ ],
+ "𦧞": [
+ "ㄊㄚ4"
+ ],
+ "𦧟": [
+ "ㄊㄚ4"
+ ],
+ "𦧠": [
+ "ㄏㄨㄚ2"
+ ],
+ "𦧡": [
+ "ㄧㄢ3",
+ "ㄊㄧㄢ4"
+ ],
+ "𦧢": [
+ "ㄊㄧㄝ4"
+ ],
+ "𦧤": [
+ "ㄊㄧㄝ4"
+ ],
+ "𦧥": [
+ "ㄊㄚ4"
+ ],
+ "𦧬": [
+ "ㄏㄨㄞ4"
+ ],
+ "𦧮": [
+ "ㄐㄧㄚ2"
+ ],
+ "𦧯": [
+ "ㄑㄧ4"
+ ],
+ "𦧱": [
+ "ㄊㄚ4"
+ ],
+ "𦧴": [
+ "ㄊㄢ1"
+ ],
+ "𦧵": [
+ "ㄏㄨㄚ4"
+ ],
+ "𦧸": [
+ "ㄓㄨㄢ4"
+ ],
+ "𦧹": [
+ "ㄏㄨㄚ1"
+ ],
+ "𦧼": [
+ "ㄌㄢ2"
+ ],
+ "𦨆": [
+ "ㄗㄨㄣ1"
+ ],
+ "𦨇": [
+ "ㄧ4"
+ ],
+ "𦨈": [
+ "ㄈㄨ2"
+ ],
+ "𦨉": [
+ "ㄨ4"
+ ],
+ "𦨋": [
+ "ㄈㄨ2"
+ ],
+ "𦨍": [
+ "ㄉㄧㄥ1"
+ ],
+ "𦨎": [
+ "ㄊㄚ4"
+ ],
+ "𦨖": [
+ "ㄔㄠ4"
+ ],
+ "𦨙": [
+ "ㄖ4"
+ ],
+ "𦨚": [
+ "ㄑㄩㄢ3"
+ ],
+ "𦨜": [
+ "ㄍㄜ1"
+ ],
+ "𦨡": [
+ "ㄈㄨ2"
+ ],
+ "𦨢": [
+ "ㄉㄧ4"
+ ],
+ "𦨣": [
+ "ㄉㄧㄠ1"
+ ],
+ "𦨤": [
+ "ㄩㄥ3"
+ ],
+ "𦨦": [
+ "ㄐㄧㄚ4"
+ ],
+ "𦨩": [
+ "ㄌㄨㄥ2"
+ ],
+ "𦨬": [
+ "ㄩㄥ3"
+ ],
+ "𦨭": [
+ "ㄆㄧ2"
+ ],
+ "𦨯": [
+ "ㄏㄨㄛ2"
+ ],
+ "𦨰": [
+ "ㄑㄩㄥ2"
+ ],
+ "𦨲": [
+ "ㄈㄢ2"
+ ],
+ "𦨳": [
+ "ㄨ2"
+ ],
+ "𦨴": [
+ "ㄊㄨㄥ2"
+ ],
+ "𦨵": [
+ "ㄏㄤ2"
+ ],
+ "𦨸": [
+ "ㄊㄢ1"
+ ],
+ "𦨾": [
+ "ㄏㄥ1"
+ ],
+ "𦩄": [
+ "ㄊㄧㄠ1"
+ ],
+ "𦩈": [
+ "ㄓㄡ1"
+ ],
+ "𦩋": [
+ "ㄅㄞ4"
+ ],
+ "𦩌": [
+ "ㄒㄧㄝ4"
+ ],
+ "𦩍": [
+ "ㄉㄠ1",
+ "ㄉㄧㄠ1"
+ ],
+ "𦩏": [
+ "ㄐㄧㄣ1",
+ "ㄨㄟ2"
+ ],
+ "𦩕": [
+ "ㄏㄨ1"
+ ],
+ "𦩖": [
+ "ㄅㄟ1"
+ ],
+ "𦩘": [
+ "ㄉㄧㄥ4"
+ ],
+ "𦩜": [
+ "ㄋㄨㄛ2"
+ ],
+ "𦩝": [
+ "ㄨㄟ4"
+ ],
+ "𦩞": [
+ "ㄩ2"
+ ],
+ "𦩠": [
+ "ㄒㄧㄥ1"
+ ],
+ "𦩡": [
+ "ㄈㄨ2"
+ ],
+ "𦩢": [
+ "ㄒㄧㄢ4"
+ ],
+ "𦩣": [
+ "ㄑㄧ4"
+ ],
+ "𦩤": [
+ "ㄊㄨ1"
+ ],
+ "𦩧": [
+ "ㄐㄧ2"
+ ],
+ "𦩩": [
+ "ㄧㄥ4"
+ ],
+ "𦩫": [
+ "ㄉㄥ4",
+ "ㄊㄥ2"
+ ],
+ "𦩬": [
+ "ㄨㄟ1"
+ ],
+ "𦩭": [
+ "ㄒㄧ1"
+ ],
+ "𦩯": [
+ "ㄆㄞ2"
+ ],
+ "𦩱": [
+ "ㄕㄥ2"
+ ],
+ "𦩲": [
+ "ㄧㄡ3"
+ ],
+ "𦩴": [
+ "ㄞ2"
+ ],
+ "𦩵": [
+ "ㄐㄧㄢ4"
+ ],
+ "𦩷": [
+ "ㄍㄡ1"
+ ],
+ "𦩸": [
+ "ㄖㄨㄛ4"
+ ],
+ "𦩼": [
+ "ㄍㄨㄥ4"
+ ],
+ "𦩿": [
+ "ㄕㄚ4"
+ ],
+ "𦪀": [
+ "ㄊㄤ2"
+ ],
+ "𦪇": [
+ "ㄌㄨ4"
+ ],
+ "𦪈": [
+ "ㄠ2"
+ ],
+ "𦪊": [
+ "ㄑㄧ4"
+ ],
+ "𦪋": [
+ "ㄒㄧㄡ1"
+ ],
+ "𦪍": [
+ "ㄉㄞ1"
+ ],
+ "𦪑": [
+ "ㄈㄚ2"
+ ],
+ "𦪒": [
+ "ㄨㄟ4"
+ ],
+ "𦪔": [
+ "ㄉㄨㄣ4"
+ ],
+ "𦪕": [
+ "ㄌㄧㄠ2"
+ ],
+ "𦪖": [
+ "ㄈㄢ1"
+ ],
+ "𦪗": [
+ "ㄏㄨㄤ2",
+ "ㄏㄥ2"
+ ],
+ "𦪘": [
+ "ㄐㄩㄝ2"
+ ],
+ "𦪙": [
+ "ㄊㄚ4"
+ ],
+ "𦪚": [
+ "ㄗㄨㄣ4"
+ ],
+ "𦪛": [
+ "ㄖㄠ2"
+ ],
+ "𦪜": [
+ "ㄘㄢ1"
+ ],
+ "𦪝": [
+ "ㄊㄥ2"
+ ],
+ "𦪠": [
+ "ㄏㄨㄚ4"
+ ],
+ "𦪡": [
+ "ㄒㄩ1"
+ ],
+ "𦪣": [
+ "ㄓㄢ1"
+ ],
+ "𦪧": [
+ "ㄍㄢ3"
+ ],
+ "𦪪": [
+ "ㄆㄥ2"
+ ],
+ "𦪫": [
+ "ㄘㄢ1"
+ ],
+ "𦪬": [
+ "ㄒㄧㄝ1"
+ ],
+ "𦪭": [
+ "ㄉㄚ2"
+ ],
+ "𦪱": [
+ "ㄐㄧ4"
+ ],
+ "𦪶": [
+ "ㄌㄧ3"
+ ],
+ "𦪹": [
+ "ㄆㄢ2"
+ ],
+ "𦪽": [
+ "ㄌㄨㄥ2",
+ "ㄌㄨㄥ3"
+ ],
+ "𦪾": [
+ "ㄌㄧ4"
+ ],
+ "𦪿": [
+ "ㄒㄧ2"
+ ],
+ "𦫀": [
+ "ㄊㄥ2"
+ ],
+ "𦫃": [
+ "ㄌㄧㄥ2"
+ ],
+ "𦫈": [
+ "ㄌㄧ3"
+ ],
+ "𦫉": [
+ "ㄖㄢ2"
+ ],
+ "𦫊": [
+ "ㄌㄧㄥ2"
+ ],
+ "𦫎": [
+ "ㄍㄨㄣ3"
+ ],
+ "𦫔": [
+ "ㄆㄛ1"
+ ],
+ "𦫕": [
+ "ㄇㄛ4"
+ ],
+ "𦫖": [
+ "ㄆㄞ1"
+ ],
+ "𦫙": [
+ "ㄅㄚ4"
+ ],
+ "𦫡": [
+ "ㄑㄧ2"
+ ],
+ "𦫤": [
+ "ㄧㄢ2"
+ ],
+ "𦫪": [
+ "ㄨㄚ4"
+ ],
+ "𦫫": [
+ "ㄤ3"
+ ],
+ "𦫭": [
+ "ㄇㄧㄥ4"
+ ],
+ "𦫮": [
+ "ㄇㄧㄣ3"
+ ],
+ "𦫯": [
+ "ㄒㄩㄣ4"
+ ],
+ "𦫰": [
+ "ㄇㄥ2"
+ ],
+ "𦫳": [
+ "ㄍㄨㄞ3"
+ ],
+ "𦫶": [
+ "ㄐㄧㄠ1"
+ ],
+ "𦫻": [
+ "ㄍㄞ3"
+ ],
+ "𦬁": [
+ "ㄘㄞ2"
+ ],
+ "𦬂": [
+ "ㄨ4"
+ ],
+ "𦬃": [
+ "ㄓㄜ2"
+ ],
+ "𦬄": [
+ "ㄖㄣ3"
+ ],
+ "𦬅": [
+ "ㄎㄡ1"
+ ],
+ "𦬔": [
+ "ㄓㄠ3"
+ ],
+ "𦬕": [
+ "ㄓㄨㄥ1"
+ ],
+ "𦬖": [
+ "ㄑㄧㄡ2"
+ ],
+ "𦬗": [
+ "ㄍㄨㄛ1"
+ ],
+ "𦬘": [
+ "ㄍㄨㄥ1",
+ "ㄙㄨㄥ1"
+ ],
+ "𦬙": [
+ "ㄆㄨ1"
+ ],
+ "𦬚": [
+ "ㄏㄨ4"
+ ],
+ "𦬛": [
+ "ㄇㄧㄢ3"
+ ],
+ "𦬞": [
+ "ㄊㄧㄢ1"
+ ],
+ "𦬣": [
+ "ㄨㄤ3"
+ ],
+ "𦬸": [
+ "ㄓㄨ2"
+ ],
+ "𦬹": [
+ "ㄉㄚ2",
+ "ㄉㄢ4"
+ ],
+ "𦬺": [
+ "ㄒㄩㄥ4",
+ "ㄏㄨㄤ3"
+ ],
+ "𦬻": [
+ "ㄋㄚ2"
+ ],
+ "𦬾": [
+ "ㄐㄩㄢ1"
+ ],
+ "𦭁": [
+ "ㄋㄧㄢ3"
+ ],
+ "𦭈": [
+ "ㄏㄨ4"
+ ],
+ "𦭉": [
+ "ㄕㄚ1"
+ ],
+ "𦭜": [
+ "ㄓ1"
+ ],
+ "𦭟": [
+ "ㄊㄚ1"
+ ],
+ "𦭡": [
+ "ㄙ1"
+ ],
+ "𦭥": [
+ "ㄧ4"
+ ],
+ "𦭭": [
+ "ㄑㄩㄥ2"
+ ],
+ "𦭮": [
+ "ㄓ4"
+ ],
+ "𦭯": [
+ "ㄌㄩ3",
+ "ㄌㄡ2"
+ ],
+ "𦭰": [
+ "ㄖㄨ2"
+ ],
+ "𦭲": [
+ "ㄑㄧ2"
+ ],
+ "𦭳": [
+ "ㄩ3"
+ ],
+ "𦭴": [
+ "ㄓㄡ1"
+ ],
+ "𦭵": [
+ "ㄧㄤ2"
+ ],
+ "𦭶": [
+ "ㄒㄧㄢ3"
+ ],
+ "𦭷": [
+ "ㄇㄡ2"
+ ],
+ "𦭸": [
+ "ㄔㄡ2"
+ ],
+ "𦭹": [
+ "ㄏㄨㄟ1"
+ ],
+ "𦭺": [
+ "ㄐㄧㄡ1"
+ ],
+ "𦭻": [
+ "ㄐㄧㄡ4"
+ ],
+ "𦭼": [
+ "ㄆㄧㄠ3",
+ "ㄅㄧ4"
+ ],
+ "𦮁": [
+ "ㄐㄧㄠ4"
+ ],
+ "𦮃": [
+ "ㄍㄨㄞ1",
+ "ㄎㄨㄚ1"
+ ],
+ "𦮅": [
+ "ㄇㄛ4"
+ ],
+ "𦮐": [
+ "ㄒㄧ1"
+ ],
+ "𦮑": [
+ "ㄆㄨ2"
+ ],
+ "𦮯": [
+ "ㄐㄧ4"
+ ],
+ "𦮶": [
+ "ㄨㄣ3"
+ ],
+ "𦮷": [
+ "ㄅㄟ4"
+ ],
+ "𦮸": [
+ "ㄧ3"
+ ],
+ "𦮹": [
+ "ㄈㄨ2"
+ ],
+ "𦮺": [
+ "ㄙ1"
+ ],
+ "𦮻": [
+ "ㄐㄩㄢ1"
+ ],
+ "𦮼": [
+ "ㄐㄧ4",
+ "ㄑㄧ2"
+ ],
+ "𦮾": [
+ "ㄋㄧ4"
+ ],
+ "𦯀": [
+ "ㄅㄣ4"
+ ],
+ "𦯅": [
+ "ㄒㄩ4"
+ ],
+ "𦯈": [
+ "ㄑㄧㄣ3"
+ ],
+ "𦯉": [
+ "ㄅㄛ2"
+ ],
+ "𦯌": [
+ "ㄨㄤ2"
+ ],
+ "𦯍": [
+ "ㄓㄜ4"
+ ],
+ "𦯏": [
+ "ㄨㄛ4"
+ ],
+ "𦯐": [
+ "ㄕㄠ2"
+ ],
+ "𦯑": [
+ "ㄗㄠ4"
+ ],
+ "𦯒": [
+ "ㄧㄤ3"
+ ],
+ "𦯕": [
+ "ㄙㄨㄥ4"
+ ],
+ "𦯖": [
+ "ㄋㄧㄝ4"
+ ],
+ "𦯛": [
+ "ㄅㄧ4"
+ ],
+ "𦯣": [
+ "ㄘㄨ2"
+ ],
+ "𦯤": [
+ "ㄑㄧㄤ1"
+ ],
+ "𦯪": [
+ "ㄒㄧㄠ4"
+ ],
+ "𦯫": [
+ "ㄓ1"
+ ],
+ "𦯬": [
+ "ㄕㄜ2"
+ ],
+ "𦯯": [
+ "ㄓ4"
+ ],
+ "𦯰": [
+ "ㄆㄥ1"
+ ],
+ "𦰏": [
+ "ㄉㄧㄠ4"
+ ],
+ "𦰖": [
+ "ㄨㄛ4"
+ ],
+ "𦰘": [
+ "ㄓ3"
+ ],
+ "𦰙": [
+ "ㄅㄧ4"
+ ],
+ "𦰛": [
+ "ㄈㄣ2"
+ ],
+ "𦰡": [
+ "ㄋㄚ4",
+ "ㄋㄨㄛ2"
+ ],
+ "𦰥": [
+ "ㄅㄤ1"
+ ],
+ "𦰪": [
+ "ㄑㄧㄡ2"
+ ],
+ "𦰫": [
+ "ㄋㄧ3"
+ ],
+ "𦰬": [
+ "ㄅㄛ2"
+ ],
+ "𦰭": [
+ "ㄉㄨㄣ4"
+ ],
+ "𦰯": [
+ "ㄕ3"
+ ],
+ "𦰰": [
+ "ㄒㄩ1"
+ ],
+ "𦰱": [
+ "ㄔㄤ2"
+ ],
+ "𦰲": [
+ "ㄒㄩ1"
+ ],
+ "𦰳": [
+ "ㄧㄝ2"
+ ],
+ "𦰴": [
+ "ㄇㄧ2"
+ ],
+ "𦰸": [
+ "ㄒㄧㄣ1"
+ ],
+ "𦰹": [
+ "ㄓㄨㄛ2"
+ ],
+ "𦰺": [
+ "ㄈㄨ4"
+ ],
+ "𦰽": [
+ "ㄆㄧ3"
+ ],
+ "𦰾": [
+ "ㄒㄩㄝ4"
+ ],
+ "𦱀": [
+ "ㄩ4"
+ ],
+ "𦱁": [
+ "ㄒㄧㄢ2"
+ ],
+ "𦱂": [
+ "ㄩ4"
+ ],
+ "𦱃": [
+ "ㄩ2"
+ ],
+ "𦱅": [
+ "ㄐㄩ1"
+ ],
+ "𦱆": [
+ "ㄊㄚ1"
+ ],
+ "𦱇": [
+ "ㄎㄨㄥ1"
+ ],
+ "𦱊": [
+ "ㄓㄥ1"
+ ],
+ "𦱋": [
+ "ㄇㄥ2"
+ ],
+ "𦱌": [
+ "ㄍㄤ1"
+ ],
+ "𦱒": [
+ "ㄇㄨ4"
+ ],
+ "𦱓": [
+ "ㄒㄧ3"
+ ],
+ "𦱔": [
+ "ㄅㄧ4"
+ ],
+ "𦱖": [
+ "ㄈㄨ4"
+ ],
+ "𦱜": [
+ "ㄒㄧㄠ4"
+ ],
+ "𦱠": [
+ "ㄐㄧㄡ1"
+ ],
+ "𦱣": [
+ "ㄍㄡ3"
+ ],
+ "𦱰": [
+ "ㄔ2"
+ ],
+ "𦱱": [
+ "ㄐㄧㄡ1"
+ ],
+ "𦱲": [
+ "ㄐㄧㄡ1"
+ ],
+ "𦱵": [
+ "ㄕㄚ1"
+ ],
+ "𦱷": [
+ "ㄈㄟ1"
+ ],
+ "𦲫": [
+ "ㄈㄨ2"
+ ],
+ "𦲯": [
+ "ㄨㄢ4"
+ ],
+ "𦲰": [
+ "ㄒㄩ1"
+ ],
+ "𦲱": [
+ "ㄅㄛ1"
+ ],
+ "𦳁": [
+ "ㄏㄠ4",
+ "ㄇㄠ4"
+ ],
+ "𦳃": [
+ "ㄒㄧㄝ2"
+ ],
+ "𦳄": [
+ "ㄆㄧㄢ2"
+ ],
+ "𦳅": [
+ "ㄩ3"
+ ],
+ "𦳇": [
+ "ㄊㄧㄢ2"
+ ],
+ "𦳈": [
+ "ㄆㄧ2",
+ "ㄅㄧ4"
+ ],
+ "𦳊": [
+ "ㄕ3"
+ ],
+ "𦳋": [
+ "ㄎㄨㄞ3"
+ ],
+ "𦳌": [
+ "ㄐㄧ1"
+ ],
+ "𦳏": [
+ "ㄓㄚ1"
+ ],
+ "𦳐": [
+ "ㄋㄞ4",
+ "ㄋㄚ4"
+ ],
+ "𦳑": [
+ "ㄇㄡ3"
+ ],
+ "𦳓": [
+ "ㄈㄨ2"
+ ],
+ "𦳔": [
+ "ㄉㄨ4"
+ ],
+ "𦳗": [
+ "ㄕㄥ3"
+ ],
+ "𦳘": [
+ "ㄔㄚ2"
+ ],
+ "𦳚": [
+ "ㄔ2"
+ ],
+ "𦳛": [
+ "ㄍㄨㄟ3"
+ ],
+ "𦳜": [
+ "ㄇㄧㄣ2"
+ ],
+ "𦳝": [
+ "ㄊㄤ1",
+ "ㄉㄤ4"
+ ],
+ "𦳞": [
+ "ㄅㄞ4"
+ ],
+ "𦳟": [
+ "ㄑㄧㄤ1"
+ ],
+ "𦳡": [
+ "ㄓㄨㄛ2"
+ ],
+ "𦳢": [
+ "ㄨㄟ4"
+ ],
+ "𦳣": [
+ "ㄒㄩㄣ2"
+ ],
+ "𦳥": [
+ "ㄇㄧㄠ3"
+ ],
+ "𦳦": [
+ "ㄗㄞ1"
+ ],
+ "𦳧": [
+ "ㄧㄡ2"
+ ],
+ "𦳩": [
+ "ㄧㄡ4"
+ ],
+ "𦳫": [
+ "ㄕㄢ1"
+ ],
+ "𦳬": [
+ "ㄏㄜ2"
+ ],
+ "𦳭": [
+ "ㄌㄩ3"
+ ],
+ "𦳮": [
+ "ㄓ2"
+ ],
+ "𦳲": [
+ "ㄐㄧㄥ4"
+ ],
+ "𦳳": [
+ "ㄓㄣ1"
+ ],
+ "𦳶": [
+ "ㄇㄥ2"
+ ],
+ "𦳷": [
+ "ㄧㄡ2"
+ ],
+ "𦳹": [
+ "ㄨㄛ4"
+ ],
+ "𦳺": [
+ "ㄅㄚ2"
+ ],
+ "𦳽": [
+ "ㄐㄩㄢ4"
+ ],
+ "𦳾": [
+ "ㄖㄨ2"
+ ],
+ "𦳿": [
+ "ㄘㄡ4"
+ ],
+ "𦴀": [
+ "ㄓ1"
+ ],
+ "𦴉": [
+ "ㄏㄨ2"
+ ],
+ "𦴊": [
+ "ㄧㄤ1"
+ ],
+ "𦴌": [
+ "ㄐㄩㄣ4"
+ ],
+ "𦴍": [
+ "ㄕㄜ2"
+ ],
+ "𦴎": [
+ "ㄎㄡ4"
+ ],
+ "𦴑": [
+ "ㄑㄧㄢ2"
+ ],
+ "𦴔": [
+ "ㄇㄥ2"
+ ],
+ "𦴚": [
+ "ㄊㄧㄠ2"
+ ],
+ "𦵐": [
+ "ㄋㄧㄝ4"
+ ],
+ "𦵟": [
+ "ㄔ2"
+ ],
+ "𦵡": [
+ "ㄒㄩㄥ1",
+ "ㄍㄨㄥ1"
+ ],
+ "𦵣": [
+ "ㄏㄨㄣ4"
+ ],
+ "𦵦": [
+ "ㄉㄧ2"
+ ],
+ "𦵧": [
+ "ㄌㄤ2"
+ ],
+ "𦵩": [
+ "ㄗㄠ1",
+ "ㄑㄧㄡ2"
+ ],
+ "𦵪": [
+ "ㄘㄜ4"
+ ],
+ "𦵫": [
+ "ㄙㄨㄛ3"
+ ],
+ "𦵬": [
+ "ㄗㄨ4"
+ ],
+ "𦵭": [
+ "ㄙㄨㄟ1"
+ ],
+ "𦵯": [
+ "ㄒㄧㄚ2"
+ ],
+ "𦵱": [
+ "ㄒㄧㄝ4"
+ ],
+ "𦵴": [
+ "ㄐㄧㄝ2"
+ ],
+ "𦵵": [
+ "ㄧㄡ2"
+ ],
+ "𦵷": [
+ "ㄍㄡ4"
+ ],
+ "𦵸": [
+ "ㄍㄥ3"
+ ],
+ "𦵼": [
+ "ㄐㄩㄣ4"
+ ],
+ "𦵽": [
+ "ㄏㄨㄤ3"
+ ],
+ "𦵾": [
+ "ㄐㄧ2"
+ ],
+ "𦵿": [
+ "ㄆㄡ1"
+ ],
+ "𦶀": [
+ "ㄨ1"
+ ],
+ "𦶂": [
+ "ㄧ4"
+ ],
+ "𦶅": [
+ "ㄋㄞ3"
+ ],
+ "𦶇": [
+ "ㄖㄨㄥ3",
+ "ㄖㄨㄢ3"
+ ],
+ "𦶈": [
+ "ㄋㄢ2"
+ ],
+ "𦶊": [
+ "ㄆㄧㄥ2"
+ ],
+ "𦶋": [
+ "ㄕㄢ4"
+ ],
+ "𦶌": [
+ "ㄉㄧㄠ1"
+ ],
+ "𦶍": [
+ "ㄐㄧ2"
+ ],
+ "𦶎": [
+ "ㄏㄨㄚ1"
+ ],
+ "𦶏": [
+ "ㄉㄨㄟ4"
+ ],
+ "𦶐": [
+ "ㄎㄨㄥ3"
+ ],
+ "𦶑": [
+ "ㄊㄚ4"
+ ],
+ "𦶓": [
+ "ㄏㄨㄥ4"
+ ],
+ "𦶕": [
+ "ㄕㄨ1"
+ ],
+ "𦶙": [
+ "ㄏㄥ2"
+ ],
+ "𦶚": [
+ "ㄈㄣ3"
+ ],
+ "𦶲": [
+ "ㄎㄡ4"
+ ],
+ "𦷙": [
+ "ㄋㄧㄢ2"
+ ],
+ "𦷝": [
+ "ㄔㄨ2"
+ ],
+ "𦷦": [
+ "ㄑㄧㄤ4"
+ ],
+ "𦷲": [
+ "ㄒㄧ4"
+ ],
+ "𦷳": [
+ "ㄏㄨ2"
+ ],
+ "𦷴": [
+ "ㄙㄨㄥ4"
+ ],
+ "𦷵": [
+ "ㄨㄛ4"
+ ],
+ "𦷷": [
+ "ㄏㄞ4"
+ ],
+ "𦷸": [
+ "ㄖㄨ2"
+ ],
+ "𦷹": [
+ "ㄇㄥ2"
+ ],
+ "𦷻": [
+ "ㄙㄢ3"
+ ],
+ "𦷽": [
+ "ㄨ2"
+ ],
+ "𦷿": [
+ "ㄧㄡ2"
+ ],
+ "𦸁": [
+ "ㄊㄢ1"
+ ],
+ "𦸂": [
+ "ㄕㄣ1"
+ ],
+ "𦸆": [
+ "ㄑㄧ3"
+ ],
+ "𦸈": [
+ "ㄍㄨㄛ2"
+ ],
+ "𦸉": [
+ "ㄑㄧㄚ4"
+ ],
+ "𦸊": [
+ "ㄒㄧㄢ1"
+ ],
+ "𦸏": [
+ "ㄙㄨㄟ1"
+ ],
+ "𦸐": [
+ "ㄌㄨ4"
+ ],
+ "𦸓": [
+ "ㄑㄧ1"
+ ],
+ "𦸔": [
+ "ㄉㄧㄠ1"
+ ],
+ "𦸗": [
+ "ㄑㄧ2"
+ ],
+ "𦸘": [
+ "ㄐㄧㄚ2"
+ ],
+ "𦸙": [
+ "ㄧㄡ2"
+ ],
+ "𦸚": [
+ "ㄒㄧ2"
+ ],
+ "𦸛": [
+ "ㄔㄠ2"
+ ],
+ "𦸡": [
+ "ㄇㄧ4"
+ ],
+ "𦸢": [
+ "ㄌㄡ4"
+ ],
+ "𦸣": [
+ "ㄅㄧ3"
+ ],
+ "𦸪": [
+ "ㄆㄟ2"
+ ],
+ "𦸮": [
+ "ㄓㄣ1"
+ ],
+ "𦸯": [
+ "ㄕㄣ1"
+ ],
+ "𦸰": [
+ "ㄔㄢ3"
+ ],
+ "𦸱": [
+ "ㄈㄨ4"
+ ],
+ "𦸶": [
+ "ㄑㄩ1"
+ ],
+ "𦸷": [
+ "ㄙ1"
+ ],
+ "𦸺": [
+ "ㄗㄨㄟ1"
+ ],
+ "𦹫": [
+ "ㄓㄠ4"
+ ],
+ "𦹽": [
+ "ㄆㄧ2"
+ ],
+ "𦺀": [
+ "ㄘㄡ4"
+ ],
+ "𦺆": [
+ "ㄍㄠ1"
+ ],
+ "𦺇": [
+ "ㄉㄨ2"
+ ],
+ "𦺉": [
+ "ㄈㄨ1"
+ ],
+ "𦺊": [
+ "ㄍㄨㄢ1"
+ ],
+ "𦺋": [
+ "ㄙㄠ3"
+ ],
+ "𦺌": [
+ "ㄙㄡ3"
+ ],
+ "𦺍": [
+ "ㄐㄧㄢ3"
+ ],
+ "𦺎": [
+ "ㄆㄡ2"
+ ],
+ "𦺐": [
+ "ㄘㄢ2"
+ ],
+ "𦺑": [
+ "ㄅㄥ4"
+ ],
+ "𦺒": [
+ "ㄇㄡ4"
+ ],
+ "𦺓": [
+ "ㄓㄠ1"
+ ],
+ "𦺔": [
+ "ㄒㄧㄠ2"
+ ],
+ "𦺖": [
+ "ㄐㄩ2"
+ ],
+ "𦺗": [
+ "ㄕㄨ1"
+ ],
+ "𦺘": [
+ "ㄐㄧㄢ3"
+ ],
+ "𦺙": [
+ "ㄌㄧ2"
+ ],
+ "𦺛": [
+ "ㄔㄨㄢ4"
+ ],
+ "𦺜": [
+ "ㄌㄠ4",
+ "ㄌㄠ2"
+ ],
+ "𦺞": [
+ "ㄏㄜ4"
+ ],
+ "𦺟": [
+ "ㄏㄨ2"
+ ],
+ "𦺠": [
+ "ㄍㄨ1"
+ ],
+ "𦺡": [
+ "ㄓㄤ3"
+ ],
+ "𦺢": [
+ "ㄐㄧㄝ2"
+ ],
+ "𦺣": [
+ "ㄒㄧㄤ4"
+ ],
+ "𦺥": [
+ "ㄉㄨ1"
+ ],
+ "𦺦": [
+ "ㄏㄢ2"
+ ],
+ "𦺧": [
+ "ㄐㄧㄚ2"
+ ],
+ "𦺨": [
+ "ㄒㄧㄤ4"
+ ],
+ "𦺩": [
+ "ㄐㄧ2"
+ ],
+ "𦺪": [
+ "ㄕㄨ3"
+ ],
+ "𦺫": [
+ "ㄌㄤ4"
+ ],
+ "𦺬": [
+ "ㄐㄧ1"
+ ],
+ "𦺭": [
+ "ㄕㄢ1"
+ ],
+ "𦺰": [
+ "ㄊㄠ1",
+ "ㄊㄧㄠ2"
+ ],
+ "𦺱": [
+ "ㄗ1"
+ ],
+ "𦺲": [
+ "ㄕㄨㄢ4"
+ ],
+ "𦺴": [
+ "ㄐㄧ2"
+ ],
+ "𦺵": [
+ "ㄔㄨ4"
+ ],
+ "𦺶": [
+ "ㄐㄧ4"
+ ],
+ "𦺷": [
+ "ㄕㄣ1"
+ ],
+ "𦺸": [
+ "ㄌㄧㄣ4",
+ "ㄌㄧㄣ2"
+ ],
+ "𦺹": [
+ "ㄌㄧㄠ2"
+ ],
+ "𦺻": [
+ "ㄙㄢ3"
+ ],
+ "𦺽": [
+ "ㄢ3"
+ ],
+ "𦺾": [
+ "ㄖㄨㄢ3"
+ ],
+ "𦻀": [
+ "ㄊㄧ2",
+ "ㄊㄞ2"
+ ],
+ "𦻁": [
+ "ㄉㄢ4"
+ ],
+ "𦻃": [
+ "ㄏㄨㄢ2"
+ ],
+ "𦻅": [
+ "ㄙㄚ4"
+ ],
+ "𦼆": [
+ "ㄖㄨㄟ2"
+ ],
+ "𦼇": [
+ "ㄨ1"
+ ],
+ "𦼈": [
+ "ㄐㄩ4"
+ ],
+ "𦼉": [
+ "ㄏㄨㄢ2"
+ ],
+ "𦼊": [
+ "ㄌㄥ2"
+ ],
+ "𦼋": [
+ "ㄌㄨ4"
+ ],
+ "𦼎": [
+ "ㄊㄢ1"
+ ],
+ "𦼏": [
+ "ㄗㄥ1"
+ ],
+ "𦼓": [
+ "ㄑㄧㄢ2"
+ ],
+ "𦼗": [
+ "ㄒㄧ1"
+ ],
+ "𦼡": [
+ "ㄘ3"
+ ],
+ "𦼢": [
+ "ㄕㄜ2"
+ ],
+ "𦼧": [
+ "ㄙㄚ4"
+ ],
+ "𦼪": [
+ "ㄇㄠ4"
+ ],
+ "𦼫": [
+ "ㄑㄩ2"
+ ],
+ "𦼭": [
+ "ㄅㄛ2"
+ ],
+ "𦼮": [
+ "ㄍㄢ3",
+ "ㄍㄢ4"
+ ],
+ "𦼰": [
+ "ㄑㄧㄝ4",
+ "ㄏㄜ2"
+ ],
+ "𦼱": [
+ "ㄐㄩㄢ4"
+ ],
+ "𦼲": [
+ "ㄉㄤ1"
+ ],
+ "𦼳": [
+ "ㄔㄤ2"
+ ],
+ "𦼴": [
+ "ㄧㄤ2"
+ ],
+ "𦼵": [
+ "ㄏㄜ2"
+ ],
+ "𦼷": [
+ "ㄐㄧ1"
+ ],
+ "𦼹": [
+ "ㄅㄧㄥ3"
+ ],
+ "𦼻": [
+ "ㄇㄟ2"
+ ],
+ "𦼿": [
+ "ㄉㄨㄣ1"
+ ],
+ "𦽀": [
+ "ㄠ3"
+ ],
+ "𦽁": [
+ "ㄐㄧㄥ1"
+ ],
+ "𦽂": [
+ "ㄌㄨ4"
+ ],
+ "𦽃": [
+ "ㄇㄧㄢ4"
+ ],
+ "𦽄": [
+ "ㄉㄧㄢ4"
+ ],
+ "𦽅": [
+ "ㄏㄜ4"
+ ],
+ "𦽇": [
+ "ㄐㄧㄢ1"
+ ],
+ "𦽊": [
+ "ㄏㄨㄚ2"
+ ],
+ "𦽋": [
+ "ㄍㄡ1"
+ ],
+ "𦽎": [
+ "ㄌㄨ4"
+ ],
+ "𦽏": [
+ "ㄈㄨ2"
+ ],
+ "𦽐": [
+ "ㄏㄨㄟ3"
+ ],
+ "𦽒": [
+ "ㄗㄟ2"
+ ],
+ "𦽔": [
+ "ㄐㄧㄣ4"
+ ],
+ "𦽕": [
+ "ㄙ1"
+ ],
+ "𦽖": [
+ "ㄑㄩㄣ1"
+ ],
+ "𦽜": [
+ "ㄉㄢ4"
+ ],
+ "𦽞": [
+ "ㄨㄢ4"
+ ],
+ "𦽟": [
+ "ㄅㄧㄢ3"
+ ],
+ "𦽤": [
+ "ㄐㄧㄚ2"
+ ],
+ "𦽫": [
+ "ㄉㄢ3"
+ ],
+ "𦽬": [
+ "ㄐㄧㄡ1"
+ ],
+ "𦽭": [
+ "ㄒㄧㄢ2"
+ ],
+ "𦽮": [
+ "ㄅㄛ2"
+ ],
+ "𦾏": [
+ "ㄒㄧㄚ2"
+ ],
+ "𦾑": [
+ "ㄅㄧㄠ1"
+ ],
+ "𦾕": [
+ "ㄆㄛ4"
+ ],
+ "𦾘": [
+ "ㄙㄠ3"
+ ],
+ "𦾙": [
+ "ㄅㄟ4"
+ ],
+ "𦾚": [
+ "ㄕㄚ4"
+ ],
+ "𦾛": [
+ "ㄨㄟ3"
+ ],
+ "𦾝": [
+ "ㄘㄤ1"
+ ],
+ "𦾞": [
+ "ㄌㄨ4"
+ ],
+ "𦾩": [
+ "ㄉㄢ4"
+ ],
+ "𦾫": [
+ "ㄍㄨ3"
+ ],
+ "𦾬": [
+ "ㄗㄚ1"
+ ],
+ "𦾭": [
+ "ㄅㄤ3"
+ ],
+ "𦾮": [
+ "ㄍㄢ4",
+ "ㄍㄢ3"
+ ],
+ "𦾱": [
+ "ㄔㄠ1"
+ ],
+ "𦾲": [
+ "ㄐㄧ4"
+ ],
+ "𦾳": [
+ "ㄌㄧㄝ1"
+ ],
+ "𦾵": [
+ "ㄑㄩㄥ2"
+ ],
+ "𦾶": [
+ "ㄐㄧㄢ4"
+ ],
+ "𦾷": [
+ "ㄌㄨ4"
+ ],
+ "𦾸": [
+ "ㄉㄨㄢ1"
+ ],
+ "𦾹": [
+ "ㄙㄨㄢ1"
+ ],
+ "𦾺": [
+ "ㄧㄠ2"
+ ],
+ "𦾻": [
+ "ㄧㄣ3"
+ ],
+ "𦾽": [
+ "ㄊㄚ4"
+ ],
+ "𦾾": [
+ "ㄧㄠ2"
+ ],
+ "𦾿": [
+ "ㄐㄧㄥ1"
+ ],
+ "𦿀": [
+ "ㄔㄨ2"
+ ],
+ "𦿁": [
+ "ㄈㄨ2"
+ ],
+ "𦿂": [
+ "ㄩㄢ2"
+ ],
+ "𦿃": [
+ "ㄕㄠ3"
+ ],
+ "𦿅": [
+ "ㄅㄧㄥ4"
+ ],
+ "𦿆": [
+ "ㄉㄤ4"
+ ],
+ "𦿇": [
+ "ㄕ4"
+ ],
+ "𦿊": [
+ "ㄌㄨ2"
+ ],
+ "𦿋": [
+ "ㄑㄧㄝ4"
+ ],
+ "𦿌": [
+ "ㄌㄨㄛ2"
+ ],
+ "𦿍": [
+ "ㄆㄛ4"
+ ],
+ "𦿏": [
+ "ㄇㄥ2",
+ "ㄇㄥ4"
+ ],
+ "𦿐": [
+ "ㄐㄧㄝ2"
+ ],
+ "𦿓": [
+ "ㄐㄧ1"
+ ],
+ "𦿖": [
+ "ㄌㄨ4"
+ ],
+ "𧀄": [
+ "ㄔㄤ4"
+ ],
+ "𧀅": [
+ "ㄇㄧㄝ4",
+ "ㄇㄛ4"
+ ],
+ "𧀆": [
+ "ㄇㄥ2"
+ ],
+ "𧀇": [
+ "ㄐㄧㄢ3"
+ ],
+ "𧀊": [
+ "ㄘㄞ3"
+ ],
+ "𧀌": [
+ "ㄙㄨ4"
+ ],
+ "𧀔": [
+ "ㄏㄜ4"
+ ],
+ "𧀕": [
+ "ㄙㄚ4"
+ ],
+ "𧀗": [
+ "ㄗ1"
+ ],
+ "𧀘": [
+ "ㄎㄥ1"
+ ],
+ "𧀙": [
+ "ㄍㄥ3"
+ ],
+ "𧀚": [
+ "ㄙ1"
+ ],
+ "𧀠": [
+ "ㄊㄧ2"
+ ],
+ "𧀡": [
+ "ㄓㄢ4"
+ ],
+ "𧀢": [
+ "ㄒㄧㄝ4"
+ ],
+ "𧀣": [
+ "ㄕㄨㄟ2"
+ ],
+ "𧀤": [
+ "ㄔ3"
+ ],
+ "𧀥": [
+ "ㄧㄡ1"
+ ],
+ "𧀦": [
+ "ㄌㄨ3"
+ ],
+ "𧀧": [
+ "ㄇㄥ4"
+ ],
+ "𧀨": [
+ "ㄌㄧㄝ4"
+ ],
+ "𧀩": [
+ "ㄙ4"
+ ],
+ "𧀬": [
+ "ㄒㄧ1"
+ ],
+ "𧀭": [
+ "ㄈㄢ2"
+ ],
+ "𧀮": [
+ "ㄈㄨ1"
+ ],
+ "𧀯": [
+ "ㄕㄣ3"
+ ],
+ "𧀰": [
+ "ㄊㄧ2"
+ ],
+ "𧀱": [
+ "ㄔㄞ4"
+ ],
+ "𧀲": [
+ "ㄩㄝ4"
+ ],
+ "𧀴": [
+ "ㄈㄨ1"
+ ],
+ "𧀵": [
+ "ㄐㄧㄢ4",
+ "ㄕㄢ3"
+ ],
+ "𧀶": [
+ "ㄉㄧ4"
+ ],
+ "𧀹": [
+ "ㄓㄜ4"
+ ],
+ "𧀺": [
+ "ㄒㄧㄝ2"
+ ],
+ "𧀻": [
+ "ㄉㄢ1"
+ ],
+ "𧀿": [
+ "ㄓ2"
+ ],
+ "𧁃": [
+ "ㄒㄩ4"
+ ],
+ "𧁈": [
+ "ㄋㄧㄝ4"
+ ],
+ "𧁉": [
+ "ㄈㄢ4"
+ ],
+ "𧁊": [
+ "ㄇㄥ2"
+ ],
+ "𧁋": [
+ "ㄇㄧㄣ3"
+ ],
+ "𧁾": [
+ "ㄌㄡ2"
+ ],
+ "𧁿": [
+ "ㄉㄨ2",
+ "ㄕㄨ3"
+ ],
+ "𧂁": [
+ "ㄓㄢ4"
+ ],
+ "𧂂": [
+ "ㄐㄧㄢ4"
+ ],
+ "𧂃": [
+ "ㄏㄢ4"
+ ],
+ "𧂄": [
+ "ㄉㄢ4"
+ ],
+ "𧂅": [
+ "ㄙㄣ1"
+ ],
+ "𧂆": [
+ "ㄐㄧㄢ4"
+ ],
+ "𧂇": [
+ "ㄊㄢ2",
+ "ㄒㄩㄣ2"
+ ],
+ "𧂈": [
+ "ㄐㄧㄠ3"
+ ],
+ "𧂉": [
+ "ㄆㄛ2"
+ ],
+ "𧂋": [
+ "ㄆㄧㄥ2"
+ ],
+ "𧂍": [
+ "ㄓㄨㄢ4",
+ "ㄙㄨㄣ1"
+ ],
+ "𧂏": [
+ "ㄌㄧㄠ2"
+ ],
+ "𧂐": [
+ "ㄗ4"
+ ],
+ "𧂒": [
+ "ㄓㄨㄛ2"
+ ],
+ "𧂔": [
+ "ㄏㄨ4"
+ ],
+ "𧂙": [
+ "ㄒㄧ4"
+ ],
+ "𧂛": [
+ "ㄇㄥ2"
+ ],
+ "𧂜": [
+ "ㄐㄩ4"
+ ],
+ "𧂝": [
+ "ㄇㄧㄝ4"
+ ],
+ "𧂞": [
+ "ㄒㄧㄢ2"
+ ],
+ "𧂠": [
+ "ㄎㄨㄟ4"
+ ],
+ "𧂡": [
+ "ㄇㄥ2"
+ ],
+ "𧂢": [
+ "ㄐㄧㄢ1"
+ ],
+ "𧂦": [
+ "ㄋㄡ2"
+ ],
+ "𧂨": [
+ "ㄉㄧ4"
+ ],
+ "𧂩": [
+ "ㄙㄠ1"
+ ],
+ "𧃏": [
+ "ㄔㄨ4"
+ ],
+ "𧃐": [
+ "ㄓ2"
+ ],
+ "𧃑": [
+ "ㄑㄧㄢ2"
+ ],
+ "𧃒": [
+ "ㄌㄩ3"
+ ],
+ "𧃔": [
+ "ㄓㄨㄛ2"
+ ],
+ "𧃘": [
+ "ㄗㄨㄛ4"
+ ],
+ "𧃙": [
+ "ㄏㄢ2"
+ ],
+ "𧃚": [
+ "ㄙㄨㄟ3"
+ ],
+ "𧃛": [
+ "ㄍㄡ4"
+ ],
+ "𧃝": [
+ "ㄔㄡ3"
+ ],
+ "𧃞": [
+ "ㄐㄧ4"
+ ],
+ "𧃟": [
+ "ㄧ4"
+ ],
+ "𧃠": [
+ "ㄩ2"
+ ],
+ "𧃨": [
+ "ㄋㄡ2"
+ ],
+ "𧃩": [
+ "ㄋㄧ3"
+ ],
+ "𧃪": [
+ "ㄖㄨㄛ4"
+ ],
+ "𧃮": [
+ "ㄌㄧㄣ2"
+ ],
+ "𧃱": [
+ "ㄋㄧㄥ2"
+ ],
+ "𧄍": [
+ "ㄑㄧㄠ2"
+ ],
+ "𧄎": [
+ "ㄧㄠ2"
+ ],
+ "𧄏": [
+ "ㄈㄨ4"
+ ],
+ "𧄐": [
+ "ㄕㄨㄤ1"
+ ],
+ "𧄑": [
+ "ㄎㄨㄟ4"
+ ],
+ "𧄒": [
+ "ㄑㄩ2"
+ ],
+ "𧄓": [
+ "ㄉㄨㄥ3"
+ ],
+ "𧄔": [
+ "ㄕㄨ3"
+ ],
+ "𧄚": [
+ "ㄌㄧ2"
+ ],
+ "𧄛": [
+ "ㄐㄩ2"
+ ],
+ "𧄜": [
+ "ㄖㄨㄟ3"
+ ],
+ "𧄠": [
+ "ㄓㄚ2"
+ ],
+ "𧄤": [
+ "ㄒㄧㄠ1"
+ ],
+ "𧄸": [
+ "ㄇㄣ2",
+ "ㄨㄟ3"
+ ],
+ "𧄹": [
+ "ㄕ2"
+ ],
+ "𧄺": [
+ "ㄉㄧㄢ1"
+ ],
+ "𧄻": [
+ "ㄌㄧ4"
+ ],
+ "𧄼": [
+ "ㄉㄥ4",
+ "ㄊㄥ2"
+ ],
+ "𧄽": [
+ "ㄗㄢ4",
+ "ㄗㄚ1"
+ ],
+ "𧄿": [
+ "ㄌㄨㄛ2"
+ ],
+ "𧅀": [
+ "ㄘㄢ2"
+ ],
+ "𧅃": [
+ "ㄠ1"
+ ],
+ "𧅆": [
+ "ㄐㄧㄢ3"
+ ],
+ "𧅈": [
+ "ㄉㄧㄠ4"
+ ],
+ "𧅋": [
+ "ㄧㄥ2"
+ ],
+ "𧅖": [
+ "ㄧ4"
+ ],
+ "𧅗": [
+ "ㄉㄤ3"
+ ],
+ "𧅘": [
+ "ㄋㄡ2"
+ ],
+ "𧅚": [
+ "ㄩㄝ4"
+ ],
+ "𧅮": [
+ "ㄌㄧ3"
+ ],
+ "𧅯": [
+ "ㄌㄧ2"
+ ],
+ "𧅰": [
+ "ㄏㄨ4"
+ ],
+ "𧅲": [
+ "ㄧㄡ4"
+ ],
+ "𧅺": [
+ "ㄋㄤ4"
+ ],
+ "𧆂": [
+ "ㄔㄣ4"
+ ],
+ "𧆉": [
+ "ㄈㄥ1"
+ ],
+ "𧆊": [
+ "ㄅㄧㄝ1"
+ ],
+ "𧆏": [
+ "ㄇㄢ3"
+ ],
+ "𧆐": [
+ "ㄍㄢ4"
+ ],
+ "𧆑": [
+ "ㄏㄨㄛ4",
+ "ㄙㄨㄟ3"
+ ],
+ "𧆓": [
+ "ㄘㄨ1"
+ ],
+ "𧆕": [
+ "ㄧㄡ3"
+ ],
+ "𧆘": [
+ "ㄧㄡ4"
+ ],
+ "𧆜": [
+ "ㄒㄩ1"
+ ],
+ "𧆡": [
+ "ㄒㄩ4"
+ ],
+ "𧆢": [
+ "ㄏㄨ3"
+ ],
+ "𧆣": [
+ "ㄌㄨ2"
+ ],
+ "𧆥": [
+ "ㄒㄧㄚ2"
+ ],
+ "𧆦": [
+ "ㄧ4"
+ ],
+ "𧆮": [
+ "ㄏㄨ3"
+ ],
+ "𧆯": [
+ "ㄏㄨ4"
+ ],
+ "𧆰": [
+ "ㄗ3"
+ ],
+ "𧆷": [
+ "ㄍㄨㄥ1"
+ ],
+ "𧆸": [
+ "ㄊㄨㄟ1"
+ ],
+ "𧆹": [
+ "ㄨ1"
+ ],
+ "𧆺": [
+ "ㄌㄧㄥ2"
+ ],
+ "𧆻": [
+ "ㄍㄨ1"
+ ],
+ "𧆼": [
+ "ㄓㄨㄥ1",
+ "ㄉㄨㄥ1"
+ ],
+ "𧇄": [
+ "ㄌㄨ2"
+ ],
+ "𧇈": [
+ "ㄗㄨ4"
+ ],
+ "𧇌": [
+ "ㄊㄨㄥ2"
+ ],
+ "𧇍": [
+ "ㄒㄧㄚ1"
+ ],
+ "𧇎": [
+ "ㄏㄜ2"
+ ],
+ "𧇓": [
+ "ㄩㄝ4"
+ ],
+ "𧇙": [
+ "ㄋㄢ2"
+ ],
+ "𧇚": [
+ "ㄅㄛ2"
+ ],
+ "𧇛": [
+ "ㄏㄨ1"
+ ],
+ "𧇜": [
+ "ㄑㄧ4"
+ ],
+ "𧇝": [
+ "ㄕㄨ2"
+ ],
+ "𧇞": [
+ "ㄑㄧㄤ1"
+ ],
+ "𧇟": [
+ "ㄓㄡ1"
+ ],
+ "𧇠": [
+ "ㄧㄠ4"
+ ],
+ "𧇡": [
+ "ㄍㄨ1"
+ ],
+ "𧇥": [
+ "ㄅㄢ1"
+ ],
+ "𧇦": [
+ "ㄎㄢ3"
+ ],
+ "𧇮": [
+ "ㄏㄜ2"
+ ],
+ "𧇯": [
+ "ㄐㄧ4"
+ ],
+ "𧇰": [
+ "ㄏㄨ2"
+ ],
+ "𧇱": [
+ "ㄧㄢ2"
+ ],
+ "𧇶": [
+ "ㄔㄨㄣ1"
+ ],
+ "𧇷": [
+ "ㄉㄧㄥ3"
+ ],
+ "𧇸": [
+ "ㄑㄧㄡ1"
+ ],
+ "𧇹": [
+ "ㄏㄡ2"
+ ],
+ "𧇼": [
+ "ㄏㄠ4"
+ ],
+ "𧇿": [
+ "ㄗㄨ4"
+ ],
+ "𧈁": [
+ "ㄒㄧㄢ2"
+ ],
+ "𧈄": [
+ "ㄒㄧㄚ4"
+ ],
+ "𧈅": [
+ "ㄒㄧ4"
+ ],
+ "𧈈": [
+ "ㄙㄜ4",
+ "ㄒㄧ4"
+ ],
+ "𧈌": [
+ "ㄍㄜ2"
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+ "ㄒㄧ4"
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+ "ㄍㄜ2"
+ ],
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+ "ㄌㄩ3"
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+ "𧈖": [
+ "ㄍㄜ2"
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+ "ㄎㄜ4"
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+ "ㄕㄡ4"
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+ "ㄓㄨ4"
+ ],
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+ "ㄊㄥ2"
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+ "ㄧㄚ4"
+ ],
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+ "ㄋㄧ4"
+ ],
+ "𧈦": [
+ "ㄌㄨㄛ4"
+ ],
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+ "ㄙㄨㄟ1",
+ "ㄇㄥ2"
+ ],
+ "𧈪": [
+ "ㄔㄢ3"
+ ],
+ "𧈭": [
+ "ㄨ4"
+ ],
+ "𧈯": [
+ "ㄩ1"
+ ],
+ "𧈹": [
+ "ㄗㄠ3"
+ ],
+ "𧈻": [
+ "ㄧ4"
+ ],
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+ "ㄒㄧ1",
+ "ㄐㄧ2"
+ ],
+ "𧈽": [
+ "ㄏㄨㄥ2"
+ ],
+ "𧈾": [
+ "ㄑㄩㄢ2"
+ ],
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+ "ㄨㄤ3"
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+ "ㄔ3"
+ ],
+ "𧉁": [
+ "ㄒㄧ4"
+ ],
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+ "ㄊㄧㄢ3"
+ ],
+ "𧉃": [
+ "ㄩㄣ3"
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+ "𧉅": [
+ "ㄧ1"
+ ],
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+ "ㄐㄧ2"
+ ],
+ "𧉇": [
+ "ㄏㄨㄟ1"
+ ],
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+ "ㄈㄡ2",
+ "ㄈㄨ2"
+ ],
+ "𧉊": [
+ "ㄈㄨ3"
+ ],
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+ "ㄐㄧ2"
+ ],
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+ "ㄒㄩㄢ2"
+ ],
+ "𧉑": [
+ "ㄊㄞ4"
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+ "𧉓": [
+ "ㄉㄨ4"
+ ],
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+ "ㄩㄢ2"
+ ],
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+ "ㄉㄧ4"
+ ],
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+ "ㄓㄨ3"
+ ],
+ "𧉟": [
+ "ㄊㄞ1"
+ ],
+ "𧉡": [
+ "ㄖㄨㄥ3"
+ ],
+ "𧉢": [
+ "ㄒㄩㄝ2"
+ ],
+ "𧉣": [
+ "ㄩ4"
+ ],
+ "𧉤": [
+ "ㄈㄢ4"
+ ],
+ "𧉥": [
+ "ㄅㄟ3"
+ ],
+ "𧉧": [
+ "ㄑㄩ3",
+ "ㄐㄧㄝ2"
+ ],
+ "𧉩": [
+ "ㄅㄨ4"
+ ],
+ "𧉪": [
+ "ㄐㄧㄚ1"
+ ],
+ "𧉫": [
+ "ㄓㄚ2"
+ ],
+ "𧉭": [
+ "ㄋㄨ3"
+ ],
+ "𧉮": [
+ "ㄕㄜ2",
+ "ㄧㄢ2",
+ "ㄧ2"
+ ],
+ "𧉲": [
+ "ㄌㄧ4"
+ ],
+ "𧊄": [
+ "ㄍㄨㄟ3"
+ ],
+ "𧊅": [
+ "ㄍㄨㄞ3"
+ ],
+ "𧊇": [
+ "ㄉㄞ4",
+ "ㄉㄜ2"
+ ],
+ "𧊏": [
+ "ㄍㄞ1"
+ ],
+ "𧊒": [
+ "ㄘ4"
+ ],
+ "𧊔": [
+ "ㄧㄢ3"
+ ],
+ "𧊕": [
+ "ㄙㄨㄥ1"
+ ],
+ "𧊖": [
+ "ㄕ4"
+ ],
+ "𧊘": [
+ "ㄎㄨ4"
+ ],
+ "𧊙": [
+ "ㄓ3"
+ ],
+ "𧊚": [
+ "ㄊㄨㄥ2"
+ ],
+ "𧊛": [
+ "ㄑㄩ2"
+ ],
+ "𧊜": [
+ "ㄜ4"
+ ],
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+ "ㄒㄧㄥ2"
+ ],
+ "𧊟": [
+ "ㄖㄨ2"
+ ],
+ "𧊠": [
+ "ㄩ2",
+ "ㄕㄨ1"
+ ],
+ "𧊣": [
+ "ㄧ4"
+ ],
+ "𧊤": [
+ "ㄧ4"
+ ],
+ "𧊥": [
+ "ㄒㄩ4"
+ ],
+ "𧊦": [
+ "ㄈㄡ3"
+ ],
+ "𧊧": [
+ "ㄍㄜ2",
+ "ㄜ4"
+ ],
+ "𧊬": [
+ "ㄏㄜ2"
+ ],
+ "𧊭": [
+ "ㄧㄣ1"
+ ],
+ "𧊯": [
+ "ㄏㄨㄥ4"
+ ],
+ "𧊱": [
+ "ㄉㄨㄛ3"
+ ],
+ "𧊽": [
+ "ㄒㄧㄥ2"
+ ],
+ "𧊾": [
+ "ㄈㄢ2"
+ ],
+ "𧋉": [
+ "ㄑㄧ1"
+ ],
+ "𧋊": [
+ "ㄕㄚ1",
+ "ㄕㄨㄛ1"
+ ],
+ "𧋌": [
+ "ㄉㄨ4"
+ ],
+ "𧋍": [
+ "ㄉㄧ4",
+ "ㄒㄩㄝ2"
+ ],
+ "𧋎": [
+ "ㄌㄧ2"
+ ],
+ "𧋏": [
+ "ㄧ4"
+ ],
+ "𧋐": [
+ "ㄒㄧ2"
+ ],
+ "𧋑": [
+ "ㄍㄥ3"
+ ],
+ "𧋒": [
+ "ㄊㄨㄥ2",
+ "ㄕ4"
+ ],
+ "𧋓": [
+ "ㄎㄠ4"
+ ],
+ "𧋔": [
+ "ㄏㄨㄥ4"
+ ],
+ "𧋕": [
+ "ㄎㄨㄣ4"
+ ],
+ "𧋖": [
+ "ㄋㄧㄝ4"
+ ],
+ "𧋗": [
+ "ㄔ2"
+ ],
+ "𧋘": [
+ "ㄊㄧ2"
+ ],
+ "𧋚": [
+ "ㄊㄨㄥ2"
+ ],
+ "𧋠": [
+ "ㄌㄧ2",
+ "ㄌㄧ3"
+ ],
+ "𧋡": [
+ "ㄋㄚ4"
+ ],
+ "𧋱": [
+ "ㄓㄢ1"
+ ],
+ "𧋲": [
+ "ㄅㄟ3"
+ ],
+ "𧌁": [
+ "ㄊㄧㄠ2"
+ ],
+ "𧌃": [
+ "ㄗㄚ1"
+ ],
+ "𧌄": [
+ "ㄜ4",
+ "ㄧㄝ4"
+ ],
+ "𧌅": [
+ "ㄕㄡ4"
+ ],
+ "𧌆": [
+ "ㄎㄨㄥ1"
+ ],
+ "𧌇": [
+ "ㄆㄥ2"
+ ],
+ "𧌈": [
+ "ㄈㄨ4"
+ ],
+ "𧌉": [
+ "ㄌㄨ4"
+ ],
+ "𧌊": [
+ "ㄒㄧㄝ4"
+ ],
+ "𧌋": [
+ "ㄒㄧㄝ4"
+ ],
+ "𧌌": [
+ "ㄒㄧㄡ1"
+ ],
+ "𧌍": [
+ "ㄌㄨ4"
+ ],
+ "𧌎": [
+ "ㄊㄧㄢ3"
+ ],
+ "𧌏": [
+ "ㄊㄚ4"
+ ],
+ "𧌐": [
+ "ㄘ4"
+ ],
+ "𧌑": [
+ "ㄑㄩ1"
+ ],
+ "𧌓": [
+ "ㄈㄨ4"
+ ],
+ "𧌔": [
+ "ㄓ1"
+ ],
+ "𧌖": [
+ "ㄒㄧㄝ4",
+ "ㄕㄜ4"
+ ],
+ "𧌗": [
+ "ㄗㄡ3"
+ ],
+ "𧌘": [
+ "ㄈㄟ4"
+ ],
+ "𧌙": [
+ "ㄇㄧㄣ2"
+ ],
+ "𧌚": [
+ "ㄒㄧㄥ1"
+ ],
+ "𧌝": [
+ "ㄊㄨㄥ2"
+ ],
+ "𧌞": [
+ "ㄑㄧ2"
+ ],
+ "𧌠": [
+ "ㄆㄧㄠ1"
+ ],
+ "𧌢": [
+ "ㄙㄨㄟ4"
+ ],
+ "𧌣": [
+ "ㄦ3"
+ ],
+ "𧌧": [
+ "ㄏㄨ3"
+ ],
+ "𧌻": [
+ "ㄙㄨㄥ1"
+ ],
+ "𧌽": [
+ "ㄅㄧㄝ1"
+ ],
+ "𧌾": [
+ "ㄉㄧㄥ1"
+ ],
+ "𧌿": [
+ "ㄅㄢ3"
+ ],
+ "𧍀": [
+ "ㄕ1",
+ "ㄌㄧ3"
+ ],
+ "𧍁": [
+ "ㄒㄧㄝ4"
+ ],
+ "𧍂": [
+ "ㄒㄧㄠ2"
+ ],
+ "𧍃": [
+ "ㄈㄟ3"
+ ],
+ "𧍒": [
+ "ㄔㄨㄢ3",
+ "ㄔㄨㄞ3"
+ ],
+ "𧍓": [
+ "ㄕㄨㄞ4"
+ ],
+ "𧍔": [
+ "ㄧㄠ1"
+ ],
+ "𧍕": [
+ "ㄐㄩㄝ2"
+ ],
+ "𧍖": [
+ "ㄕㄥ3",
+ "ㄋㄧㄥ4"
+ ],
+ "𧍘": [
+ "ㄧㄡ1"
+ ],
+ "𧍙": [
+ "ㄈㄢ4"
+ ],
+ "𧍜": [
+ "ㄎㄨㄟ2"
+ ],
+ "𧍝": [
+ "ㄉㄧ4"
+ ],
+ "𧍟": [
+ "ㄇㄠ2"
+ ],
+ "𧍠": [
+ "ㄐㄧㄝ2"
+ ],
+ "𧍢": [
+ "ㄧㄢ2",
+ "ㄧㄣ3"
+ ],
+ "𧍥": [
+ "ㄨㄟ1"
+ ],
+ "𧍨": [
+ "ㄙㄤ1"
+ ],
+ "𧍩": [
+ "ㄐㄧㄝ2"
+ ],
+ "𧍪": [
+ "ㄩ2"
+ ],
+ "𧍫": [
+ "ㄨㄟ4"
+ ],
+ "𧍬": [
+ "ㄜ4"
+ ],
+ "𧍭": [
+ "ㄑㄩㄢ2"
+ ],
+ "𧍮": [
+ "ㄐㄩㄥ3"
+ ],
+ "𧍯": [
+ "ㄈㄥ2"
+ ],
+ "𧍰": [
+ "ㄌㄨㄥ2"
+ ],
+ "𧍱": [
+ "ㄉㄧㄝ2"
+ ],
+ "𧍲": [
+ "ㄆㄧㄢ2"
+ ],
+ "𧍴": [
+ "ㄌㄧㄢ4"
+ ],
+ "𧍵": [
+ "ㄏㄨ2"
+ ],
+ "𧍶": [
+ "ㄌㄩ4"
+ ],
+ "𧍿": [
+ "ㄉㄧㄢ4"
+ ],
+ "𧎃": [
+ "ㄘㄨㄟ4"
+ ],
+ "𧎄": [
+ "ㄇㄡ2",
+ "ㄨ4"
+ ],
+ "𧎕": [
+ "ㄨㄤ2"
+ ],
+ "𧎖": [
+ "ㄐㄩㄢ1"
+ ],
+ "𧎗": [
+ "ㄎㄜ1"
+ ],
+ "𧎘": [
+ "ㄧㄢ2"
+ ],
+ "𧎙": [
+ "ㄐㄧㄠ3"
+ ],
+ "𧎡": [
+ "ㄍㄨㄥ1"
+ ],
+ "𧎣": [
+ "ㄖㄨㄥ2"
+ ],
+ "𧎤": [
+ "ㄙㄨㄣ1"
+ ],
+ "𧎥": [
+ "ㄕㄢ4"
+ ],
+ "𧎨": [
+ "ㄔ2"
+ ],
+ "𧎪": [
+ "ㄑㄧ2"
+ ],
+ "𧎫": [
+ "ㄙㄨㄛ3"
+ ],
+ "𧎭": [
+ "ㄧㄝ4"
+ ],
+ "𧎮": [
+ "ㄗㄠ3"
+ ],
+ "𧎯": [
+ "ㄑㄩㄝ1"
+ ],
+ "𧎰": [
+ "ㄓㄢ3"
+ ],
+ "𧎱": [
+ "ㄅㄚ1"
+ ],
+ "𧎲": [
+ "ㄗㄨ2"
+ ],
+ "𧎳": [
+ "ㄙㄨㄛ3"
+ ],
+ "𧎴": [
+ "ㄓㄜ2"
+ ],
+ "𧎵": [
+ "ㄒㄧ4"
+ ],
+ "𧎷": [
+ "ㄔㄨ3"
+ ],
+ "𧎸": [
+ "ㄐㄧㄠ3"
+ ],
+ "𧎹": [
+ "ㄗㄨㄟ4"
+ ],
+ "𧎺": [
+ "ㄍㄜ1"
+ ],
+ "𧎻": [
+ "ㄨ4",
+ "ㄇㄡ2"
+ ],
+ "𧎾": [
+ "ㄌㄩㄝ4"
+ ],
+ "𧎿": [
+ "ㄐㄧ2"
+ ],
+ "𧏂": [
+ "ㄒㄧㄝ2"
+ ],
+ "𧏃": [
+ "ㄒㄧㄝ2"
+ ],
+ "𧏆": [
+ "ㄉㄡ3"
+ ],
+ "𧏋": [
+ "ㄑㄧㄡ1"
+ ],
+ "𧏑": [
+ "ㄆㄧㄥ2"
+ ],
+ "𧏓": [
+ "ㄌㄧㄡ2"
+ ],
+ "𧏥": [
+ "ㄐㄧㄝ2"
+ ],
+ "𧏧": [
+ "ㄏㄨㄟ4"
+ ],
+ "𧏫": [
+ "ㄕㄚ4"
+ ],
+ "𧏸": [
+ "ㄓ2"
+ ],
+ "𧏹": [
+ "ㄞ4"
+ ],
+ "𧏺": [
+ "ㄒㄩ4",
+ "ㄡ4"
+ ],
+ "𧏻": [
+ "ㄅㄧ4"
+ ],
+ "𧏽": [
+ "ㄧㄝ1"
+ ],
+ "𧏾": [
+ "ㄋㄧ4"
+ ],
+ "𧏿": [
+ "ㄓㄨ2"
+ ],
+ "𧐁": [
+ "ㄙㄨ4"
+ ],
+ "𧐃": [
+ "ㄒㄧㄝ2"
+ ],
+ "𧐄": [
+ "ㄩ4",
+ "ㄩ2"
+ ],
+ "𧐅": [
+ "ㄑㄩ1"
+ ],
+ "𧐈": [
+ "ㄗㄨ2"
+ ],
+ "𧐉": [
+ "ㄓ1"
+ ],
+ "𧐊": [
+ "ㄓㄤ1"
+ ],
+ "𧐋": [
+ "ㄌㄩㄝ4"
+ ],
+ "𧐌": [
+ "ㄨㄟ3"
+ ],
+ "𧐍": [
+ "ㄔㄨㄥ1"
+ ],
+ "𧐎": [
+ "ㄇㄧ4"
+ ],
+ "𧐐": [
+ "ㄐㄧ1"
+ ],
+ "𧐒": [
+ "ㄙㄨ4"
+ ],
+ "𧐓": [
+ "ㄧㄝ3"
+ ],
+ "𧐔": [
+ "ㄒㄧ2",
+ "ㄧ4"
+ ],
+ "𧐕": [
+ "ㄊㄨㄢ2"
+ ],
+ "𧐖": [
+ "ㄌㄧㄢ2",
+ "ㄌㄧㄢ4"
+ ],
+ "𧐗": [
+ "ㄒㄩㄢ2"
+ ],
+ "𧐙": [
+ "ㄨ4"
+ ],
+ "𧐟": [
+ "ㄇㄠ2"
+ ],
+ "𧐬": [
+ "ㄏㄨㄥ2"
+ ],
+ "𧐯": [
+ "ㄌㄩㄝ4"
+ ],
+ "𧐰": [
+ "ㄉㄨ2"
+ ],
+ "𧐱": [
+ "ㄘㄨㄥ2"
+ ],
+ "𧐲": [
+ "ㄔㄢ2"
+ ],
+ "𧐳": [
+ "ㄌㄨ4"
+ ],
+ "𧐴": [
+ "ㄙㄨ4"
+ ],
+ "𧑀": [
+ "ㄌㄩㄝ4"
+ ],
+ "𧑆": [
+ "ㄓㄨㄥ1"
+ ],
+ "𧑇": [
+ "ㄌㄧ2"
+ ],
+ "𧑈": [
+ "ㄈㄟ4"
+ ],
+ "𧑊": [
+ "ㄐㄧㄥ3"
+ ],
+ "𧑋": [
+ "ㄎㄨㄟ4"
+ ],
+ "𧑌": [
+ "ㄧ4"
+ ],
+ "𧑍": [
+ "ㄏㄨㄚ2"
+ ],
+ "𧑎": [
+ "ㄘㄨㄟ4"
+ ],
+ "𧑐": [
+ "ㄩ4"
+ ],
+ "𧑑": [
+ "ㄅㄥ3"
+ ],
+ "𧑒": [
+ "ㄊㄨㄣ1"
+ ],
+ "𧑓": [
+ "ㄕㄨ3"
+ ],
+ "𧑔": [
+ "ㄉㄞ4"
+ ],
+ "𧑕": [
+ "ㄨ1"
+ ],
+ "𧑖": [
+ "ㄘ4"
+ ],
+ "𧑗": [
+ "ㄋㄧㄥ4"
+ ],
+ "𧑘": [
+ "ㄉㄤ4"
+ ],
+ "𧑙": [
+ "ㄗㄨ2"
+ ],
+ "𧑚": [
+ "ㄏㄢ2"
+ ],
+ "𧑜": [
+ "ㄆㄧ2"
+ ],
+ "𧑝": [
+ "ㄔㄨㄢ4"
+ ],
+ "𧑠": [
+ "ㄉㄨ4"
+ ],
+ "𧑡": [
+ "ㄆㄚ2"
+ ],
+ "𧑤": [
+ "ㄓㄨ1"
+ ],
+ "𧑦": [
+ "ㄒㄧㄝ2"
+ ],
+ "𧑧": [
+ "ㄓㄜ2"
+ ],
+ "𧑨": [
+ "ㄑㄧㄝ4"
+ ],
+ "𧑩": [
+ "ㄒㄩㄢ1"
+ ],
+ "𧑫": [
+ "ㄙㄠ4"
+ ],
+ "𧒀": [
+ "ㄅㄧ4"
+ ],
+ "𧒂": [
+ "ㄈㄨ4"
+ ],
+ "𧒈": [
+ "ㄌㄧ4"
+ ],
+ "𧒎": [
+ "ㄜ2"
+ ],
+ "𧒐": [
+ "ㄧㄝ1"
+ ],
+ "𧒑": [
+ "ㄕㄨ3"
+ ],
+ "𧒓": [
+ "ㄙㄜ4"
+ ],
+ "𧒕": [
+ "ㄑㄧ1"
+ ],
+ "𧒖": [
+ "ㄍㄨㄛ4"
+ ],
+ "𧒗": [
+ "ㄙㄜ4"
+ ],
+ "𧒙": [
+ "ㄈㄨ4"
+ ],
+ "𧒚": [
+ "ㄇㄠ2"
+ ],
+ "𧒜": [
+ "ㄌㄟ2"
+ ],
+ "𧒝": [
+ "ㄓㄢ1"
+ ],
+ "𧒨": [
+ "ㄔㄞ4"
+ ],
+ "𧒭": [
+ "ㄨㄟ4"
+ ],
+ "𧒽": [
+ "ㄌㄟ2"
+ ],
+ "𧒿": [
+ "ㄗㄟ2"
+ ],
+ "𧓀": [
+ "ㄧㄥ1"
+ ],
+ "𧓁": [
+ "ㄞ4"
+ ],
+ "𧓂": [
+ "ㄒㄧㄝ1"
+ ],
+ "𧓄": [
+ "ㄅㄧ4"
+ ],
+ "𧓋": [
+ "ㄔㄢ2"
+ ],
+ "𧓎": [
+ "ㄆㄧ2",
+ "ㄅㄧ1"
+ ],
+ "𧓏": [
+ "ㄘㄨㄥ2"
+ ],
+ "𧓐": [
+ "ㄌㄧㄝ4"
+ ],
+ "𧓑": [
+ "ㄑㄧ2"
+ ],
+ "𧓓": [
+ "ㄐㄧ4"
+ ],
+ "𧓔": [
+ "ㄐㄧㄥ1"
+ ],
+ "𧓕": [
+ "ㄉㄨㄥ1"
+ ],
+ "𧓖": [
+ "ㄈㄟ2"
+ ],
+ "𧓗": [
+ "ㄧ2"
+ ],
+ "𧓘": [
+ "ㄊㄨㄢ2"
+ ],
+ "𧓨": [
+ "ㄇㄥ3"
+ ],
+ "𧓩": [
+ "ㄘㄢ2"
+ ],
+ "𧓪": [
+ "ㄧㄚ2"
+ ],
+ "𧓲": [
+ "ㄧㄤ3"
+ ],
+ "𧓴": [
+ "ㄊㄧㄥ2"
+ ],
+ "𧓸": [
+ "ㄓ2"
+ ],
+ "𧓺": [
+ "ㄒㄧㄝ4"
+ ],
+ "𧓻": [
+ "ㄌㄩ4"
+ ],
+ "𧓽": [
+ "ㄌㄧ4",
+ "ㄔㄞ4"
+ ],
+ "𧓿": [
+ "ㄇㄠ2"
+ ],
+ "𧔂": [
+ "ㄒㄧㄚ2"
+ ],
+ "𧔅": [
+ "ㄙㄡ4"
+ ],
+ "𧔖": [
+ "ㄙㄨ1"
+ ],
+ "𧔗": [
+ "ㄒㄩㄝ4"
+ ],
+ "𧔝": [
+ "ㄌㄧ4"
+ ],
+ "𧔞": [
+ "ㄩㄢ2"
+ ],
+ "𧔡": [
+ "ㄓㄢ3"
+ ],
+ "𧔣": [
+ "ㄊㄚ4"
+ ],
+ "𧔤": [
+ "ㄒㄩㄢ2"
+ ],
+ "𧔥": [
+ "ㄨㄟ4"
+ ],
+ "𧔦": [
+ "ㄧㄝ4"
+ ],
+ "𧔧": [
+ "ㄆㄤ2"
+ ],
+ "𧔨": [
+ "ㄇㄠ2"
+ ],
+ "𧔩": [
+ "ㄊㄧ2"
+ ],
+ "𧔪": [
+ "ㄆㄧㄣ2"
+ ],
+ "𧔬": [
+ "ㄉㄨ4"
+ ],
+ "𧔭": [
+ "ㄑㄧㄡ2"
+ ],
+ "𧔮": [
+ "ㄧ3"
+ ],
+ "𧔳": [
+ "ㄊㄨㄛ2"
+ ],
+ "𧔴": [
+ "ㄔㄞ4"
+ ],
+ "𧔷": [
+ "ㄐㄧㄣ4"
+ ],
+ "𧔼": [
+ "ㄜ2"
+ ],
+ "𧕃": [
+ "ㄔㄢ2"
+ ],
+ "𧕄": [
+ "ㄧㄥ1"
+ ],
+ "𧕅": [
+ "ㄌㄧㄥ2"
+ ],
+ "𧕇": [
+ "ㄒㄧㄢ3"
+ ],
+ "𧕉": [
+ "ㄑㄧ1"
+ ],
+ "𧕋": [
+ "ㄩㄝ4"
+ ],
+ "𧕌": [
+ "ㄌㄩㄝ4"
+ ],
+ "𧕍": [
+ "ㄧㄥ2"
+ ],
+ "𧕎": [
+ "ㄑㄩ2"
+ ],
+ "𧕒": [
+ "ㄈㄟ3"
+ ],
+ "𧕓": [
+ "ㄗ1"
+ ],
+ "𧕙": [
+ "ㄑㄧㄥ1"
+ ],
+ "𧕝": [
+ "ㄋㄧㄥ2"
+ ],
+ "𧕞": [
+ "ㄨㄟ4"
+ ],
+ "𧕟": [
+ "ㄕㄨㄤ1"
+ ],
+ "𧕡": [
+ "ㄈㄨ4"
+ ],
+ "𧕤": [
+ "ㄇㄛ4"
+ ],
+ "𧕥": [
+ "ㄇㄛ4"
+ ],
+ "𧕦": [
+ "ㄊㄨㄛ2"
+ ],
+ "𧕧": [
+ "ㄔㄞ4"
+ ],
+ "𧕨": [
+ "ㄗㄤ4"
+ ],
+ "𧕮": [
+ "ㄌㄧ2"
+ ],
+ "𧕯": [
+ "ㄌㄧ2",
+ "ㄕ1"
+ ],
+ "𧕱": [
+ "ㄒㄧㄚ2"
+ ],
+ "𧕲": [
+ "ㄐㄩㄢ3"
+ ],
+ "𧕴": [
+ "ㄋㄢ2"
+ ],
+ "𧕵": [
+ "ㄇㄧ4"
+ ],
+ "𧕸": [
+ "ㄏㄨㄤ2"
+ ],
+ "𧕺": [
+ "ㄕㄨㄤ1"
+ ],
+ "𧕼": [
+ "ㄒㄩ3"
+ ],
+ "𧕿": [
+ "ㄈㄟ3"
+ ],
+ "𧖁": [
+ "ㄒㄧㄝ4",
+ "ㄨㄣ2"
+ ],
+ "𧖆": [
+ "ㄊㄚ4"
+ ],
+ "𧖇": [
+ "ㄩㄥ3"
+ ],
+ "𧖉": [
+ "ㄓㄢ3"
+ ],
+ "𧖑": [
+ "ㄑㄧㄤ2"
+ ],
+ "𧖒": [
+ "ㄋㄤ2"
+ ],
+ "𧖔": [
+ "ㄌㄧㄣ4"
+ ],
+ "𧖘": [
+ "ㄌㄨㄢ2"
+ ],
+ "𧖙": [
+ "ㄒㄧㄢ3"
+ ],
+ "𧖚": [
+ "ㄈㄨ2"
+ ],
+ "𧖜": [
+ "ㄌㄧㄥ2"
+ ],
+ "𧖠": [
+ "ㄙㄠ1"
+ ],
+ "𧖢": [
+ "ㄏㄨㄟ4"
+ ],
+ "𧖨": [
+ "ㄊㄧㄥ2"
+ ],
+ "𧖪": [
+ "ㄑㄧㄥ2"
+ ],
+ "𧖬": [
+ "ㄏㄨㄤ1"
+ ],
+ "𧖮": [
+ "ㄢ4"
+ ],
+ "𧖵": [
+ "ㄇㄢ3"
+ ],
+ "𧖷": [
+ "ㄋㄧ4",
+ "ㄋㄩ4"
+ ],
+ "𧖻": [
+ "ㄍㄨㄛ2"
+ ],
+ "𧖼": [
+ "ㄡ3"
+ ],
+ "𧖿": [
+ "ㄒㄧㄤ4"
+ ],
+ "𧗁": [
+ "ㄐㄧㄣ1"
+ ],
+ "𧗆": [
+ "ㄓㄥ1"
+ ],
+ "𧗈": [
+ "ㄋㄨ2"
+ ],
+ "𧗋": [
+ "ㄙㄢ4"
+ ],
+ "𧗌": [
+ "ㄏㄨ4"
+ ],
+ "𧗎": [
+ "ㄗㄨ2"
+ ],
+ "𧗏": [
+ "ㄏㄨㄟ3"
+ ],
+ "𧗒": [
+ "ㄐㄧ1"
+ ],
+ "𧗖": [
+ "ㄧㄝ4"
+ ],
+ "𧗦": [
+ "ㄒㄧㄥ2"
+ ],
+ "𧗩": [
+ "ㄌㄚ4"
+ ],
+ "𧗪": [
+ "ㄩ4",
+ "ㄑㄩ2"
+ ],
+ "𧗫": [
+ "ㄐㄩㄝ2"
+ ],
+ "𧗱": [
+ "ㄕㄨ4",
+ "ㄩ4"
+ ],
+ "𧗲": [
+ "ㄓㄥ1"
+ ],
+ "𧗴": [
+ "ㄩㄥ3"
+ ],
+ "𧗶": [
+ "ㄍㄜ1"
+ ],
+ "𧗸": [
+ "ㄐㄧㄢ4"
+ ],
+ "𧗹": [
+ "ㄒㄧㄣ4",
+ "ㄒㄧㄢ1"
+ ],
+ "𧗼": [
+ "ㄏㄨㄟ1"
+ ],
+ "𧗿": [
+ "ㄕㄨㄞ4"
+ ],
+ "𧘂": [
+ "ㄔㄨㄥ1"
+ ],
+ "𧘃": [
+ "ㄏㄤ2"
+ ],
+ "𧘈": [
+ "ㄌㄧㄠ3"
+ ],
+ "𧘍": [
+ "ㄐㄧㄤ1"
+ ],
+ "𧘏": [
+ "ㄍㄨㄥ1"
+ ],
+ "𧘑": [
+ "ㄓㄨㄛ2",
+ "ㄅㄠ4"
+ ],
+ "𧘗": [
+ "ㄑㄧ3"
+ ],
+ "𧘜": [
+ "ㄑㄧㄢ1"
+ ],
+ "𧘞": [
+ "ㄉㄡ3"
+ ],
+ "𧘟": [
+ "ㄆㄛ1",
+ "ㄅㄛ1"
+ ],
+ "𧘢": [
+ "ㄏㄨ4"
+ ],
+ "𧘥": [
+ "ㄋㄧㄡ3"
+ ],
+ "𧘧": [
+ "ㄑㄧ4"
+ ],
+ "𧘨": [
+ "ㄉㄧㄠ1"
+ ],
+ "𧘩": [
+ "ㄉㄧㄠ1"
+ ],
+ "𧘫": [
+ "ㄌㄧ4"
+ ],
+ "𧘮": [
+ "ㄒㄩㄥ1"
+ ],
+ "𧘽": [
+ "ㄋㄚ2"
+ ],
+ "𧘿": [
+ "ㄓㄥ1"
+ ],
+ "𧙀": [
+ "ㄌㄚ4"
+ ],
+ "𧙁": [
+ "ㄓ4",
+ "ㄗ1",
+ "ㄐㄧ4",
+ "ㄆㄧ1"
+ ],
+ "𧙃": [
+ "ㄜ3"
+ ],
+ "𧙄": [
+ "ㄅㄛ1"
+ ],
+ "𧙅": [
+ "ㄆㄛ1"
+ ],
+ "𧙆": [
+ "ㄒㄩ1"
+ ],
+ "𧙇": [
+ "ㄩㄥ4",
+ "ㄉㄢ3"
+ ],
+ "𧙈": [
+ "ㄘ2"
+ ],
+ "𧙉": [
+ "ㄌㄧ4"
+ ],
+ "𧙌": [
+ "ㄆㄠ2"
+ ],
+ "𧙏": [
+ "ㄒㄧㄡ4",
+ "ㄧㄡ3"
+ ],
+ "𧙛": [
+ "ㄆㄨ4"
+ ],
+ "𧙝": [
+ "ㄔㄜ2"
+ ],
+ "𧙞": [
+ "ㄑㄧ4"
+ ],
+ "𧙡": [
+ "ㄧ4"
+ ],
+ "𧙣": [
+ "ㄊㄧ2"
+ ],
+ "𧙤": [
+ "ㄉㄨㄛ3"
+ ],
+ "𧙥": [
+ "ㄌㄨㄥ2",
+ "ㄊㄨㄥ3"
+ ],
+ "𧙧": [
+ "ㄐㄧㄢ4"
+ ],
+ "𧙭": [
+ "ㄓㄢ4"
+ ],
+ "𧙮": [
+ "ㄩㄢ4"
+ ],
+ "𧙶": [
+ "ㄩ2"
+ ],
+ "𧙸": [
+ "ㄍㄥ1"
+ ],
+ "𧙺": [
+ "ㄏㄡ4"
+ ],
+ "𧙾": [
+ "ㄑㄧ3"
+ ],
+ "𧚀": [
+ "ㄇㄨ4"
+ ],
+ "𧚁": [
+ "ㄏㄨㄢ4"
+ ],
+ "𧚂": [
+ "ㄌㄨㄥ4"
+ ],
+ "𧚃": [
+ "ㄒㄧ4"
+ ],
+ "𧚄": [
+ "ㄜ2"
+ ],
+ "𧚅": [
+ "ㄌㄤ3"
+ ],
+ "𧚆": [
+ "ㄈㄟ4"
+ ],
+ "𧚇": [
+ "ㄨㄢ3",
+ "ㄨㄣ4"
+ ],
+ "𧚉": [
+ "ㄘㄨㄣ1"
+ ],
+ "𧚋": [
+ "ㄆㄥ2"
+ ],
+ "𧚏": [
+ "ㄘㄨㄛ4"
+ ],
+ "𧚐": [
+ "ㄨㄥ1"
+ ],
+ "𧚡": [
+ "ㄍㄠ3"
+ ],
+ "𧚥": [
+ "ㄘㄨㄟ4"
+ ],
+ "𧚨": [
+ "ㄑㄧ4",
+ "ㄕㄚ4",
+ "ㄑㄧㄝ4"
+ ],
+ "𧚩": [
+ "ㄌㄧ2"
+ ],
+ "𧚪": [
+ "ㄑㄧㄝ4"
+ ],
+ "𧚫": [
+ "ㄑㄧㄢ4",
+ "ㄐㄧㄥ1"
+ ],
+ "𧚬": [
+ "ㄎㄨㄥ1"
+ ],
+ "𧚭": [
+ "ㄅㄥ3"
+ ],
+ "𧚯": [
+ "ㄕㄡ4"
+ ],
+ "𧚷": [
+ "ㄨㄟ1"
+ ],
+ "𧛄": [
+ "ㄕㄢ1"
+ ],
+ "𧛏": [
+ "ㄗ1"
+ ],
+ "𧛒": [
+ "ㄊㄧ4"
+ ],
+ "𧛓": [
+ "ㄑㄧㄢ1"
+ ],
+ "𧛔": [
+ "ㄉㄨ2"
+ ],
+ "𧛗": [
+ "ㄊㄨ2"
+ ],
+ "𧛚": [
+ "ㄨㄟ1"
+ ],
+ "𧛞": [
+ "ㄏㄨ2"
+ ],
+ "𧛟": [
+ "ㄒㄧㄥ1"
+ ],
+ "𧛡": [
+ "ㄕㄢ1"
+ ],
+ "𧛢": [
+ "ㄓ3"
+ ],
+ "𧛧": [
+ "ㄔ3"
+ ],
+ "𧛸": [
+ "ㄓㄡ4"
+ ],
+ "𧛹": [
+ "ㄨㄥ1"
+ ],
+ "𧛺": [
+ "ㄔ2"
+ ],
+ "𧛻": [
+ "ㄙㄨㄛ3"
+ ],
+ "𧛼": [
+ "ㄒㄧㄝ4"
+ ],
+ "𧛾": [
+ "ㄎㄜ4"
+ ],
+ "𧜁": [
+ "ㄕㄞ4",
+ "ㄕㄚ1",
+ "ㄕㄞ3"
+ ],
+ "𧜂": [
+ "ㄕ1"
+ ],
+ "𧜃": [
+ "ㄕㄡ4"
+ ],
+ "𧜅": [
+ "ㄐㄧㄝ4"
+ ],
+ "𧜉": [
+ "ㄍㄠ3"
+ ],
+ "𧜊": [
+ "ㄌㄩ3"
+ ],
+ "𧜔": [
+ "ㄒㄧㄝ4"
+ ],
+ "𧜚": [
+ "ㄓ3"
+ ],
+ "𧜞": [
+ "ㄇㄢ2",
+ "ㄇㄢ4"
+ ],
+ "𧜠": [
+ "ㄕㄨㄞ4"
+ ],
+ "𧜡": [
+ "ㄎㄜ4"
+ ],
+ "𧜣": [
+ "ㄉㄧㄠ3"
+ ],
+ "𧜤": [
+ "ㄧ1"
+ ],
+ "𧜦": [
+ "ㄙㄨ4"
+ ],
+ "𧜧": [
+ "ㄔㄨㄤ1"
+ ],
+ "𧜱": [
+ "ㄘㄨㄟ4"
+ ],
+ "𧜲": [
+ "ㄊㄨㄛ4"
+ ],
+ "𧜵": [
+ "ㄒㄧㄝ4"
+ ],
+ "𧜽": [
+ "ㄒㄩㄢ2"
+ ],
+ "𧝂": [
+ "ㄏㄜ4"
+ ],
+ "𧝃": [
+ "ㄐㄩㄝ2"
+ ],
+ "𧝆": [
+ "ㄊㄧ4"
+ ],
+ "𧝇": [
+ "ㄈㄟ4"
+ ],
+ "𧝉": [
+ "ㄓ3"
+ ],
+ "𧝊": [
+ "ㄕ4"
+ ],
+ "𧝋": [
+ "ㄊㄨㄟ2"
+ ],
+ "𧝎": [
+ "ㄔㄨㄥ1",
+ "ㄔㄨㄤ2",
+ "ㄔㄨㄥ2"
+ ],
+ "𧝐": [
+ "ㄊㄧ4"
+ ],
+ "𧝑": [
+ "ㄓㄢ4"
+ ],
+ "𧝒": [
+ "ㄏㄥ2"
+ ],
+ "𧝔": [
+ "ㄑㄩ2"
+ ],
+ "𧝕": [
+ "ㄨㄟ2"
+ ],
+ "𧝗": [
+ "ㄉㄨㄣ1"
+ ],
+ "𧝘": [
+ "ㄅㄠ4"
+ ],
+ "𧝜": [
+ "ㄌㄧㄠ2"
+ ],
+ "𧝤": [
+ "ㄙ1"
+ ],
+ "𧝪": [
+ "ㄅㄧㄠ3"
+ ],
+ "𧝫": [
+ "ㄒㄧㄝ4"
+ ],
+ "𧝬": [
+ "ㄅㄧㄝ2",
+ "ㄅㄧ4"
+ ],
+ "𧝮": [
+ "ㄘㄨㄥ3"
+ ],
+ "𧝲": [
+ "ㄐㄩ4"
+ ],
+ "𧝳": [
+ "ㄏㄜ2"
+ ],
+ "𧝷": [
+ "ㄎㄨㄟ4"
+ ],
+ "𧝸": [
+ "ㄩㄥ1"
+ ],
+ "𧞀": [
+ "ㄕㄨ4"
+ ],
+ "𧞍": [
+ "ㄋㄧㄝ4"
+ ],
+ "𧞏": [
+ "ㄩ2"
+ ],
+ "𧞐": [
+ "ㄓㄨㄛ2"
+ ],
+ "𧞑": [
+ "ㄇㄥ2"
+ ],
+ "𧞒": [
+ "ㄏㄨ2"
+ ],
+ "𧞕": [
+ "ㄌㄧㄝ4"
+ ],
+ "𧞝": [
+ "ㄐㄧㄝ1"
+ ],
+ "𧞞": [
+ "ㄒㄩㄥ2"
+ ],
+ "𧞣": [
+ "ㄧㄢ3"
+ ],
+ "𧞩": [
+ "ㄐㄧㄝ2"
+ ],
+ "𧞪": [
+ "ㄌㄚ4",
+ "ㄌㄧㄝ2"
+ ],
+ "𧞫": [
+ "ㄕㄨ4"
+ ],
+ "𧞬": [
+ "ㄐㄧㄝ2"
+ ],
+ "𧞭": [
+ "ㄌㄟ2"
+ ],
+ "𧞰": [
+ "ㄗㄨ2"
+ ],
+ "𧞲": [
+ "ㄕ4"
+ ],
+ "𧞸": [
+ "ㄨㄟ2",
+ "ㄙㄨㄟ4"
+ ],
+ "𧞹": [
+ "ㄉㄨ1"
+ ],
+ "𧞺": [
+ "ㄙㄨ4"
+ ],
+ "𧟃": [
+ "ㄒㄧㄝ2"
+ ],
+ "𧟄": [
+ "ㄖㄤ2"
+ ],
+ "𧟌": [
+ "ㄌㄨㄛ4"
+ ],
+ "𧟑": [
+ "ㄑㄧㄢ1"
+ ],
+ "𧟘": [
+ "ㄋㄤ4"
+ ],
+ "𧟙": [
+ "ㄌㄧㄥ2"
+ ],
+ "𧟜": [
+ "ㄐㄧ4"
+ ],
+ "𧟠": [
+ "ㄇㄧㄥ4"
+ ],
+ "𧟣": [
+ "ㄍㄨ3"
+ ],
+ "𧟨": [
+ "ㄒㄩㄢ2"
+ ],
+ "𧟬": [
+ "ㄒㄩ1"
+ ],
+ "𧟱": [
+ "ㄅㄛ2"
+ ],
+ "𧟼": [
+ "ㄨㄟ1"
+ ],
+ "𧠂": [
+ "ㄎㄨ1"
+ ],
+ "𧠆": [
+ "ㄨㄢ3"
+ ],
+ "𧠈": [
+ "ㄔㄚ4"
+ ],
+ "𧠊": [
+ "ㄇㄠ4"
+ ],
+ "𧠋": [
+ "ㄎㄜ4"
+ ],
+ "𧠎": [
+ "ㄘ4"
+ ],
+ "𧠒": [
+ "ㄒㄧㄢ4"
+ ],
+ "𧠓": [
+ "ㄇㄛ4"
+ ],
+ "𧠚": [
+ "ㄏㄨㄣ1"
+ ],
+ "𧠛": [
+ "ㄔㄢ4"
+ ],
+ "𧠜": [
+ "ㄕ1"
+ ],
+ "𧠝": [
+ "ㄓㄣ3"
+ ],
+ "𧠞": [
+ "ㄜ4"
+ ],
+ "𧠟": [
+ "ㄇㄧ2"
+ ],
+ "𧠡": [
+ "ㄕ1"
+ ],
+ "𧠢": [
+ "ㄑㄩ1"
+ ],
+ "𧠣": [
+ "ㄕㄨ1"
+ ],
+ "𧠥": [
+ "ㄘ1"
+ ],
+ "𧠦": [
+ "ㄧㄢ3"
+ ],
+ "𧠩": [
+ "ㄏㄨ1"
+ ],
+ "𧠪": [
+ "ㄑㄧ1"
+ ],
+ "𧠫": [
+ "ㄓ4",
+ "ㄉㄧ2",
+ "ㄔ4"
+ ],
+ "𧠬": [
+ "ㄏㄨㄤ1"
+ ],
+ "𧠴": [
+ "ㄓ3"
+ ],
+ "𧠶": [
+ "ㄧㄡ3"
+ ],
+ "𧠼": [
+ "ㄍㄠ4"
+ ],
+ "𧠽": [
+ "ㄧㄠ3"
+ ],
+ "𧠾": [
+ "ㄆㄡ1"
+ ],
+ "𧡇": [
+ "ㄧ2"
+ ],
+ "𧡈": [
+ "ㄔㄥ4"
+ ],
+ "𧡉": [
+ "ㄐㄧ4"
+ ],
+ "𧡋": [
+ "ㄞ3",
+ "ㄧㄚ2"
+ ],
+ "𧡍": [
+ "ㄉㄨㄥ4"
+ ],
+ "𧡏": [
+ "ㄙㄨㄟ4"
+ ],
+ "𧡑": [
+ "ㄐㄧㄡ4"
+ ],
+ "𧡘": [
+ "ㄑㄧ4",
+ "ㄑㄧㄣ1"
+ ],
+ "𧡙": [
+ "ㄌㄧㄢ2"
+ ],
+ "𧡚": [
+ "ㄒㄩㄢ3"
+ ],
+ "𧡜": [
+ "ㄌㄧㄠ3"
+ ],
+ "𧡡": [
+ "ㄩㄣ4"
+ ],
+ "𧡢": [
+ "ㄒㄩㄢ3"
+ ],
+ "𧡣": [
+ "ㄘㄡ2"
+ ],
+ "𧡤": [
+ "ㄆㄧㄢ1"
+ ],
+ "𧡦": [
+ "ㄎㄨㄟ2"
+ ],
+ "𧡨": [
+ "ㄊㄧ2"
+ ],
+ "𧡩": [
+ "ㄏㄨㄢ3"
+ ],
+ "𧡪": [
+ "ㄉㄢ1",
+ "ㄉㄢ4"
+ ],
+ "𧡫": [
+ "ㄍㄨㄟ4",
+ "ㄎㄨㄟ4"
+ ],
+ "𧡬": [
+ "ㄔㄣ1"
+ ],
+ "𧡮": [
+ "ㄕㄤ3"
+ ],
+ "𧡯": [
+ "ㄐㄧ4"
+ ],
+ "𧡴": [
+ "ㄌㄧㄢ4"
+ ],
+ "𧡵": [
+ "ㄎㄢ1"
+ ],
+ "𧡶": [
+ "ㄕㄥ4"
+ ],
+ "𧡸": [
+ "ㄉㄡ1"
+ ],
+ "𧡹": [
+ "ㄧㄡ2"
+ ],
+ "𧡺": [
+ "ㄑㄧ2"
+ ],
+ "𧡼": [
+ "ㄒㄧㄠ3"
+ ],
+ "𧢂": [
+ "ㄧ4"
+ ],
+ "𧢃": [
+ "ㄌㄡ2"
+ ],
+ "𧢆": [
+ "ㄔㄨㄤ1"
+ ],
+ "𧢋": [
+ "ㄌㄠ4"
+ ],
+ "𧢌": [
+ "ㄍㄠ1"
+ ],
+ "𧢐": [
+ "ㄗㄥ1"
+ ],
+ "𧢒": [
+ "ㄨㄟ2",
+ "ㄨㄟ3"
+ ],
+ "𧢖": [
+ "ㄐㄧㄢ1"
+ ],
+ "𧢛": [
+ "ㄧㄥ1"
+ ],
+ "𧢜": [
+ "ㄈㄢ2"
+ ],
+ "𧢝": [
+ "ㄌㄧ4"
+ ],
+ "𧢞": [
+ "ㄑㄧㄢ1"
+ ],
+ "𧢢": [
+ "ㄧㄠ4"
+ ],
+ "𧢦": [
+ "ㄎㄨㄟ1",
+ "ㄎㄨㄟ2",
+ "ㄍㄨㄟ4"
+ ],
+ "𧢧": [
+ "ㄨㄟ2"
+ ],
+ "𧢩": [
+ "ㄑㄩㄝ4"
+ ],
+ "𧢬": [
+ "ㄒㄧㄠ3"
+ ],
+ "𧢭": [
+ "ㄑㄩㄝ4"
+ ],
+ "𧢰": [
+ "ㄏㄨ1"
+ ],
+ "𧢵": [
+ "ㄉㄨㄛ1"
+ ],
+ "𧢶": [
+ "ㄔㄨ4"
+ ],
+ "𧢹": [
+ "ㄕㄣ1",
+ "ㄐㄧㄣ1"
+ ],
+ "𧢼": [
+ "ㄓㄨㄛ2"
+ ],
+ "𧢽": [
+ "ㄜ2"
+ ],
+ "𧢾": [
+ "ㄐㄧ4"
+ ],
+ "𧣁": [
+ "ㄊㄢ2"
+ ],
+ "𧣃": [
+ "ㄆㄚ1"
+ ],
+ "𧣋": [
+ "ㄐㄧㄝ4"
+ ],
+ "𧣌": [
+ "ㄑㄧㄠ4"
+ ],
+ "𧣑": [
+ "ㄑㄧㄢ2"
+ ],
+ "𧣒": [
+ "ㄐㄩ4"
+ ],
+ "𧣕": [
+ "ㄑㄧㄡ2"
+ ],
+ "𧣖": [
+ "ㄊㄨㄛ2"
+ ],
+ "𧣚": [
+ "ㄋㄨㄛ4"
+ ],
+ "𧣛": [
+ "ㄙ4"
+ ],
+ "𧣟": [
+ "ㄧ2"
+ ],
+ "𧣡": [
+ "ㄍㄨ3"
+ ],
+ "𧣢": [
+ "ㄏㄨㄣ4"
+ ],
+ "𧣣": [
+ "ㄆㄚ2"
+ ],
+ "𧣤": [
+ "ㄗ1"
+ ],
+ "𧣦": [
+ "ㄐㄧㄠ1"
+ ],
+ "𧣩": [
+ "ㄒㄧ3"
+ ],
+ "𧣪": [
+ "ㄕㄠ3",
+ "ㄕㄠ4"
+ ],
+ "𧣬": [
+ "ㄧ2"
+ ],
+ "𧣭": [
+ "ㄓ4"
+ ],
+ "𧣵": [
+ "ㄌㄨㄣ4"
+ ],
+ "𧣷": [
+ "ㄓㄡ1"
+ ],
+ "𧣸": [
+ "ㄐㄩㄝ2"
+ ],
+ "𧣹": [
+ "ㄊㄢ2"
+ ],
+ "𧣺": [
+ "ㄋㄨㄛ4",
+ "ㄔㄨㄛ4"
+ ],
+ "𧣻": [
+ "ㄐㄩ4"
+ ],
+ "𧣼": [
+ "ㄏㄨ2"
+ ],
+ "𧣾": [
+ "ㄓ4"
+ ],
+ "𧤃": [
+ "ㄅㄧ1"
+ ],
+ "𧤍": [
+ "ㄔ4",
+ "ㄊㄧ4"
+ ],
+ "𧤎": [
+ "ㄒㄩㄢ1"
+ ],
+ "𧤏": [
+ "ㄐㄧ2"
+ ],
+ "𧤐": [
+ "ㄍㄨㄚ3"
+ ],
+ "𧤑": [
+ "ㄐㄩ2"
+ ],
+ "𧤒": [
+ "ㄨㄛ4"
+ ],
+ "𧤓": [
+ "ㄊㄨㄛ2"
+ ],
+ "𧤕": [
+ "ㄑㄧㄡ2"
+ ],
+ "𧤖": [
+ "ㄨㄟ1"
+ ],
+ "𧤗": [
+ "ㄉㄨㄢ1"
+ ],
+ "𧤙": [
+ "ㄕㄡ4"
+ ],
+ "𧤛": [
+ "ㄓㄣ3"
+ ],
+ "𧤜": [
+ "ㄋㄜ4",
+ "ㄌㄧ4"
+ ],
+ "𧤟": [
+ "ㄒㄧ4"
+ ],
+ "𧤠": [
+ "ㄓㄜ2"
+ ],
+ "𧤡": [
+ "ㄓ4"
+ ],
+ "𧤣": [
+ "ㄋㄚ2"
+ ],
+ "𧤨": [
+ "ㄐㄧㄢ1"
+ ],
+ "𧤮": [
+ "ㄧㄠ2"
+ ],
+ "𧤯": [
+ "ㄍㄨㄛ2",
+ "ㄩㄝ4"
+ ],
+ "𧤲": [
+ "ㄉㄧ3"
+ ],
+ "𧤴": [
+ "ㄏㄨㄛ4"
+ ],
+ "𧤵": [
+ "ㄐㄧㄥ1"
+ ],
+ "𧤼": [
+ "ㄐㄩㄝ2"
+ ],
+ "𧤽": [
+ "ㄩㄝ4",
+ "ㄐㄧㄢ4"
+ ],
+ "𧥄": [
+ "ㄐㄧ2"
+ ],
+ "𧥆": [
+ "ㄙㄨ4"
+ ],
+ "𧥈": [
+ "ㄐㄧㄢ1"
+ ],
+ "𧥊": [
+ "ㄎㄨㄣ1"
+ ],
+ "𧥋": [
+ "ㄨㄛ4"
+ ],
+ "𧥌": [
+ "ㄎㄨㄤ4"
+ ],
+ "𧥍": [
+ "ㄅㄧㄠ1"
+ ],
+ "𧥎": [
+ "ㄐㄩㄝ2"
+ ],
+ "𧥑": [
+ "ㄅㄧ4"
+ ],
+ "𧥓": [
+ "ㄔㄢ2"
+ ],
+ "𧥕": [
+ "ㄗ1"
+ ],
+ "𧥖": [
+ "ㄌㄧ2",
+ "ㄕ3"
+ ],
+ "𧥚": [
+ "ㄈㄛ2"
+ ],
+ "𧥛": [
+ "ㄑㄧㄢ3"
+ ],
+ "𧥜": [
+ "ㄧㄢ3"
+ ],
+ "𧥞": [
+ "ㄊㄢ4"
+ ],
+ "𧥟": [
+ "ㄇㄛ4"
+ ],
+ "𧥣": [
+ "ㄎㄡ4"
+ ],
+ "𧥤": [
+ "ㄒㄧ1",
+ "ㄒㄧㄝ1"
+ ],
+ "𧥮": [
+ "ㄏㄨ4",
+ "ㄉㄧ3"
+ ],
+ "𧥯": [
+ "ㄏㄨ4"
+ ],
+ "𧥱": [
+ "ㄈㄨ2"
+ ],
+ "𧥴": [
+ "ㄧㄤ4"
+ ],
+ "𧥵": [
+ "ㄍㄨㄛ4"
+ ],
+ "𧥷": [
+ "ㄖㄣ2"
+ ],
+ "𧥸": [
+ "ㄧㄣ4"
+ ],
+ "𧥹": [
+ "ㄈㄥ1"
+ ],
+ "𧥺": [
+ "ㄐㄩㄣ4",
+ "ㄩㄣ4"
+ ],
+ "𧥼": [
+ "ㄩㄣ2"
+ ],
+ "𧥿": [
+ "ㄒㄩㄣ4"
+ ],
+ "𧦁": [
+ "ㄒㄧ4"
+ ],
+ "𧦎": [
+ "ㄒㄧㄚ1"
+ ],
+ "𧦑": [
+ "ㄏㄤ2"
+ ],
+ "𧦚": [
+ "ㄏㄨ4",
+ "ㄉㄧ3"
+ ],
+ "𧦝": [
+ "ㄏㄨ1",
+ "ㄏㄠ4"
+ ],
+ "𧦞": [
+ "ㄆㄨ4"
+ ],
+ "𧦟": [
+ "ㄈㄢ1"
+ ],
+ "𧦤": [
+ "ㄐㄧㄚ1"
+ ],
+ "𧦧": [
+ "ㄧ2",
+ "ㄊㄨㄛ1"
+ ],
+ "𧦭": [
+ "ㄊㄨㄛ1",
+ "ㄒㄧ1"
+ ],
+ "𧦮": [
+ "ㄋㄚ2"
+ ],
+ "𧦸": [
+ "ㄧㄣ2"
+ ],
+ "𧦹": [
+ "ㄧㄣ4"
+ ],
+ "𧧃": [
+ "ㄐㄧ4"
+ ],
+ "𧧄": [
+ "ㄨㄤ4"
+ ],
+ "𧧅": [
+ "ㄕ4",
+ "ㄐㄧㄢ4"
+ ],
+ "𧧆": [
+ "ㄉㄨㄟ1"
+ ],
+ "𧧇": [
+ "ㄉㄨㄛ4"
+ ],
+ "𧧉": [
+ "ㄊㄨㄛ2"
+ ],
+ "𧧊": [
+ "ㄨㄚ1"
+ ],
+ "𧧋": [
+ "ㄌㄧ4"
+ ],
+ "𧧏": [
+ "ㄖㄜ4",
+ "ㄖㄜ3"
+ ],
+ "𧧒": [
+ "ㄘ4"
+ ],
+ "𧧓": [
+ "ㄒㄩ4"
+ ],
+ "𧧔": [
+ "ㄓㄡ1"
+ ],
+ "𧧕": [
+ "ㄗ4"
+ ],
+ "𧧜": [
+ "ㄨㄤ3"
+ ],
+ "𧧝": [
+ "ㄧㄚ3"
+ ],
+ "𧧟": [
+ "ㄐㄧ4"
+ ],
+ "𧧠": [
+ "ㄔㄠ3"
+ ],
+ "𧧩": [
+ "ㄐㄧ2"
+ ],
+ "𧧵": [
+ "ㄕㄢ3"
+ ],
+ "𧧶": [
+ "ㄊㄨ2"
+ ],
+ "𧧸": [
+ "ㄅㄧㄝ2"
+ ],
+ "𧧹": [
+ "ㄒㄧ4"
+ ],
+ "𧧺": [
+ "ㄆㄧ1"
+ ],
+ "𧧻": [
+ "ㄓㄚ4"
+ ],
+ "𧧾": [
+ "ㄏㄨㄟ4"
+ ],
+ "𧨀": [
+ "ㄙㄨㄛ1",
+ "ㄗㄨㄛ4"
+ ],
+ "𧨂": [
+ "ㄏㄜ4"
+ ],
+ "𧨄": [
+ "ㄩㄝ1"
+ ],
+ "𧨆": [
+ "ㄨ1",
+ "ㄏㄨㄤ3"
+ ],
+ "𧨈": [
+ "ㄌㄧㄥ2",
+ "ㄨ1"
+ ],
+ "𧨊": [
+ "ㄓㄚ4"
+ ],
+ "𧨋": [
+ "ㄏㄨㄚ2"
+ ],
+ "𧨗": [
+ "ㄔㄢ2"
+ ],
+ "𧨟": [
+ "ㄜ4"
+ ],
+ "𧨡": [
+ "ㄔㄣ2"
+ ],
+ "𧨧": [
+ "ㄙㄨㄟ4"
+ ],
+ "𧨩": [
+ "ㄊㄧㄢ3"
+ ],
+ "𧨰": [
+ "ㄓ4"
+ ],
+ "𧨱": [
+ "ㄊㄧ4"
+ ],
+ "𧨲": [
+ "ㄠ1"
+ ],
+ "𧨳": [
+ "ㄓㄨㄛ2"
+ ],
+ "𧨴": [
+ "ㄗ4"
+ ],
+ "𧨵": [
+ "ㄎㄜ1"
+ ],
+ "𧨷": [
+ "ㄙㄜ4"
+ ],
+ "𧨸": [
+ "ㄊㄧㄢ2"
+ ],
+ "𧨹": [
+ "ㄌㄨ4"
+ ],
+ "𧨾": [
+ "ㄕㄢ2"
+ ],
+ "𧨿": [
+ "ㄓㄚ3"
+ ],
+ "𧩃": [
+ "ㄔㄨㄥ1"
+ ],
+ "𧩅": [
+ "ㄧㄢ4"
+ ],
+ "𧩒": [
+ "ㄇㄨ3"
+ ],
+ "𧩓": [
+ "ㄏㄨ1"
+ ],
+ "𧩚": [
+ "ㄔ1"
+ ],
+ "𧩝": [
+ "ㄙㄨ4"
+ ],
+ "𧩣": [
+ "ㄋㄠ3"
+ ],
+ "𧩦": [
+ "ㄐㄧ2"
+ ],
+ "𧩧": [
+ "ㄉㄨㄛ2"
+ ],
+ "𧩨": [
+ "ㄏㄡ4"
+ ],
+ "𧩪": [
+ "ㄘㄨㄥ4"
+ ],
+ "𧩫": [
+ "ㄓㄚ1",
+ "ㄔㄚ4"
+ ],
+ "𧩬": [
+ "ㄧㄣ2"
+ ],
+ "𧩮": [
+ "ㄒㄧㄠ3",
+ "ㄙㄡ3",
+ "ㄙㄡ4"
+ ],
+ "𧩰": [
+ "ㄅㄧㄢ4"
+ ],
+ "𧩱": [
+ "ㄅㄥ4"
+ ],
+ "𧩲": [
+ "ㄌㄚ4"
+ ],
+ "𧩴": [
+ "ㄔ1",
+ "ㄔ4"
+ ],
+ "𧩶": [
+ "ㄑㄧㄚ4"
+ ],
+ "𧩸": [
+ "ㄢ1"
+ ],
+ "𧩹": [
+ "ㄕ1",
+ "ㄧ3"
+ ],
+ "𧩼": [
+ "ㄔ4",
+ "ㄓ3"
+ ],
+ "𧪅": [
+ "ㄋㄨ4"
+ ],
+ "𧪇": [
+ "ㄐㄧ4"
+ ],
+ "𧪓": [
+ "ㄡ3"
+ ],
+ "𧪕": [
+ "ㄒㄧㄚ1"
+ ],
+ "𧪘": [
+ "ㄔㄞ4",
+ "ㄘㄨㄛ3",
+ "ㄐㄧㄝ1"
+ ],
+ "𧪚": [
+ "ㄞ2"
+ ],
+ "𧪝": [
+ "ㄕㄥ4"
+ ],
+ "𧪞": [
+ "ㄏㄜ2",
+ "ㄍㄜ2"
+ ],
+ "𧪠": [
+ "ㄐㄧ2"
+ ],
+ "𧪡": [
+ "ㄔ1"
+ ],
+ "𧪢": [
+ "ㄒㄧ4"
+ ],
+ "𧪣": [
+ "ㄓㄥ1"
+ ],
+ "𧪦": [
+ "ㄊㄚ1"
+ ],
+ "𧪨": [
+ "ㄇㄚ4"
+ ],
+ "𧪫": [
+ "ㄆㄧ1"
+ ],
+ "𧪮": [
+ "ㄒㄩ1",
+ "ㄏㄨㄚ2"
+ ],
+ "𧪯": [
+ "ㄑㄧㄢ3"
+ ],
+ "𧪹": [
+ "ㄒㄧㄚ4"
+ ],
+ "𧫊": [
+ "ㄩ4"
+ ],
+ "𧫑": [
+ "ㄐㄧㄝ2"
+ ],
+ "𧫒": [
+ "ㄒㄧㄚ4"
+ ],
+ "𧫓": [
+ "ㄌㄨ3"
+ ],
+ "𧫕": [
+ "ㄑㄧㄝ4"
+ ],
+ "𧫗": [
+ "ㄔㄚ4"
+ ],
+ "𧫛": [
+ "ㄧㄤ4"
+ ],
+ "𧫜": [
+ "ㄐㄧ4"
+ ],
+ "𧫝": [
+ "ㄕㄚ3"
+ ],
+ "𧫞": [
+ "ㄌㄡ4"
+ ],
+ "𧫠": [
+ "ㄐㄧ1"
+ ],
+ "𧫡": [
+ "ㄓ4"
+ ],
+ "𧫢": [
+ "ㄨㄤ4"
+ ],
+ "𧫤": [
+ "ㄅㄧ4"
+ ],
+ "𧫥": [
+ "ㄢ1"
+ ],
+ "𧫦": [
+ "ㄧ1"
+ ],
+ "𧫧": [
+ "ㄢ1",
+ "ㄢ4"
+ ],
+ "𧫬": [
+ "ㄌㄧ2"
+ ],
+ "𧫹": [
+ "ㄒㄧㄢ1"
+ ],
+ "𧫾": [
+ "ㄐㄧㄡ4"
+ ],
+ "𧫿": [
+ "ㄊㄢ3"
+ ],
+ "𧬁": [
+ "ㄏㄠ4"
+ ],
+ "𧬂": [
+ "ㄏㄜ4"
+ ],
+ "𧬅": [
+ "ㄓㄚ1"
+ ],
+ "𧬆": [
+ "ㄓㄢ3"
+ ],
+ "𧬇": [
+ "ㄧ4"
+ ],
+ "𧬈": [
+ "ㄒㄧ4"
+ ],
+ "𧬊": [
+ "ㄒㄧ4",
+ "ㄙ2"
+ ],
+ "𧬋": [
+ "ㄈㄚ4"
+ ],
+ "𧬌": [
+ "ㄧㄢ2"
+ ],
+ "𧬏": [
+ "ㄇㄨ3"
+ ],
+ "𧬕": [
+ "ㄍㄨ1"
+ ],
+ "𧬞": [
+ "ㄩㄣ2"
+ ],
+ "𧬤": [
+ "ㄓㄨㄥ4"
+ ],
+ "𧬦": [
+ "ㄔㄢ3"
+ ],
+ "𧬧": [
+ "ㄔㄨㄤ2"
+ ],
+ "𧬨": [
+ "ㄏㄨㄟ4"
+ ],
+ "𧬩": [
+ "ㄗㄚ2"
+ ],
+ "𧬪": [
+ "ㄍㄨㄣ4"
+ ],
+ "𧬫": [
+ "ㄐㄧㄢ3"
+ ],
+ "𧬬": [
+ "ㄧㄚ2"
+ ],
+ "𧬰": [
+ "ㄒㄧㄤ4",
+ "ㄒㄧㄤ3"
+ ],
+ "𧬱": [
+ "ㄏㄜ4"
+ ],
+ "𧭃": [
+ "ㄉㄢ4"
+ ],
+ "𧭇": [
+ "ㄇㄧㄢ2"
+ ],
+ "𧭈": [
+ "ㄋㄧㄥ2",
+ "ㄋㄧㄥ4"
+ ],
+ "𧭊": [
+ "ㄇㄥ2"
+ ],
+ "𧭌": [
+ "ㄌㄧㄝ4"
+ ],
+ "𧭍": [
+ "ㄓㄡ4"
+ ],
+ "𧭎": [
+ "ㄆㄨ1"
+ ],
+ "𧭏": [
+ "ㄊㄞ1"
+ ],
+ "𧭓": [
+ "ㄧㄥ2"
+ ],
+ "𧭔": [
+ "ㄊㄥ2"
+ ],
+ "𧭕": [
+ "ㄍㄨㄛ2"
+ ],
+ "𧭚": [
+ "ㄑㄧㄤ2"
+ ],
+ "𧭜": [
+ "ㄌㄩ4"
+ ],
+ "𧭝": [
+ "ㄙㄚ4"
+ ],
+ "𧭞": [
+ "ㄌㄧㄝ4"
+ ],
+ "𧭟": [
+ "ㄔ2"
+ ],
+ "𧭠": [
+ "ㄒㄧㄝ3"
+ ],
+ "𧭣": [
+ "ㄍㄨㄛ2"
+ ],
+ "𧭤": [
+ "ㄅㄠ4",
+ "ㄅㄠ2"
+ ],
+ "𧭥": [
+ "ㄌㄨㄛ4"
+ ],
+ "𧭦": [
+ "ㄐㄩㄢ4",
+ "ㄒㄩㄢ1"
+ ],
+ "𧭪": [
+ "ㄜ4"
+ ],
+ "𧭳": [
+ "ㄏㄜ2"
+ ],
+ "𧭵": [
+ "ㄇㄟ4"
+ ],
+ "𧭸": [
+ "ㄒㄧㄝ4"
+ ],
+ "𧭹": [
+ "ㄆㄧㄣ2"
+ ],
+ "𧭻": [
+ "ㄏㄢ1"
+ ],
+ "𧭼": [
+ "ㄔㄣ4"
+ ],
+ "𧭽": [
+ "ㄕㄢ4"
+ ],
+ "𧭾": [
+ "ㄏㄨㄟ4"
+ ],
+ "𧮆": [
+ "ㄧㄥ1"
+ ],
+ "𧮈": [
+ "ㄐㄧㄢ3"
+ ],
+ "𧮍": [
+ "ㄢ1"
+ ],
+ "𧮑": [
+ "ㄊㄚ4"
+ ],
+ "𧮒": [
+ "ㄧ1"
+ ],
+ "𧮓": [
+ "ㄊㄨㄟ2"
+ ],
+ "𧮗": [
+ "ㄌㄧㄡ2"
+ ],
+ "𧮙": [
+ "ㄗㄨㄛ2"
+ ],
+ "𧮛": [
+ "ㄌㄧ2"
+ ],
+ "𧮝": [
+ "ㄆㄧㄣ2"
+ ],
+ "𧮞": [
+ "ㄒㄩㄝ4"
+ ],
+ "𧮠": [
+ "ㄋㄣ4"
+ ],
+ "𧮡": [
+ "ㄉㄡ4"
+ ],
+ "𧮤": [
+ "ㄌㄢ3"
+ ],
+ "𧮪": [
+ "ㄓㄢ1"
+ ],
+ "𧮫": [
+ "ㄐㄩㄝ2"
+ ],
+ "𧮬": [
+ "ㄓㄣ1",
+ "ㄐㄩㄝ2"
+ ],
+ "𧮭": [
+ "ㄐㄧ2"
+ ],
+ "𧮮": [
+ "ㄑㄧㄢ1"
+ ],
+ "𧮰": [
+ "ㄏㄢ1"
+ ],
+ "𧮱": [
+ "ㄈㄣ2"
+ ],
+ "𧮳": [
+ "ㄏㄢ1"
+ ],
+ "𧮴": [
+ "ㄏㄨㄥ2"
+ ],
+ "𧮵": [
+ "ㄏㄜ2"
+ ],
+ "𧮶": [
+ "ㄏㄡ2"
+ ],
+ "𧮺": [
+ "ㄓㄢ4"
+ ],
+ "𧮻": [
+ "ㄔㄡ2",
+ "ㄒㄧㄠ1"
+ ],
+ "𧮼": [
+ "ㄊㄞ4"
+ ],
+ "𧮽": [
+ "ㄑㄧㄢ4"
+ ],
+ "𧮿": [
+ "ㄕㄜ4"
+ ],
+ "𧯀": [
+ "ㄧㄥ1"
+ ],
+ "𧯃": [
+ "ㄑㄧㄣ1"
+ ],
+ "𧯆": [
+ "ㄏㄨㄛ4"
+ ],
+ "𧯈": [
+ "ㄒㄧ4"
+ ],
+ "𧯉": [
+ "ㄏㄜ4"
+ ],
+ "𧯊": [
+ "ㄒㄧ4"
+ ],
+ "𧯋": [
+ "ㄒㄧㄚ1"
+ ],
+ "𧯌": [
+ "ㄏㄠ1"
+ ],
+ "𧯍": [
+ "ㄌㄠ4"
+ ],
+ "𧯏": [
+ "ㄌㄧ4"
+ ],
+ "𧯒": [
+ "ㄔㄥ1"
+ ],
+ "𧯖": [
+ "ㄐㄩㄣ4"
+ ],
+ "𧯗": [
+ "ㄒㄧ1"
+ ],
+ "𧯘": [
+ "ㄏㄢ3"
+ ],
+ "𧯞": [
+ "ㄉㄡ4",
+ "ㄉㄡ1"
+ ],
+ "𧯠": [
+ "ㄉㄡ1"
+ ],
+ "𧯡": [
+ "ㄨㄢ1",
+ "ㄩㄝ4"
+ ],
+ "𧯤": [
+ "ㄉㄡ1"
+ ],
+ "𧯥": [
+ "ㄗㄞ4"
+ ],
+ "𧯦": [
+ "ㄐㄩㄢ4"
+ ],
+ "𧯨": [
+ "ㄌㄡ3"
+ ],
+ "𧯩": [
+ "ㄔㄨ4"
+ ],
+ "𧯫": [
+ "ㄓㄥ1"
+ ],
+ "𧯯": [
+ "ㄑㄧ2"
+ ],
+ "𧯰": [
+ "ㄎㄢ4"
+ ],
+ "𧯱": [
+ "ㄏㄨㄛ4",
+ "ㄩ4"
+ ],
+ "𧯲": [
+ "ㄌㄞ2"
+ ],
+ "𧯺": [
+ "ㄍㄞ1"
+ ],
+ "𧯼": [
+ "ㄕㄡ4"
+ ],
+ "𧯾": [
+ "ㄉㄨㄥ1"
+ ],
+ "𧰃": [
+ "ㄌㄡ2"
+ ],
+ "𧰄": [
+ "ㄊㄨㄢ1"
+ ],
+ "𧰇": [
+ "ㄩ2"
+ ],
+ "𧰈": [
+ "ㄨ4"
+ ],
+ "𧰊": [
+ "ㄊㄧㄢ2"
+ ],
+ "𧰒": [
+ "ㄍㄨㄛ2"
+ ],
+ "𧰘": [
+ "ㄊㄢ2"
+ ],
+ "𧰙": [
+ "ㄑㄧ2"
+ ],
+ "𧰠": [
+ "ㄌㄧㄝ4"
+ ],
+ "𧰡": [
+ "ㄌㄧ4"
+ ],
+ "𧰣": [
+ "ㄒㄩㄣ1"
+ ],
+ "𧰨": [
+ "ㄍㄥ4"
+ ],
+ "𧰩": [
+ "ㄊㄧㄥ1"
+ ],
+ "𧰪": [
+ "ㄏㄢ4"
+ ],
+ "𧰫": [
+ "ㄔㄨ4"
+ ],
+ "𧰭": [
+ "ㄊㄨㄣ2"
+ ],
+ "𧰯": [
+ "ㄒㄩㄥ2"
+ ],
+ "𧰰": [
+ "ㄧㄡ2"
+ ],
+ "𧰱": [
+ "ㄇㄛ4"
+ ],
+ "𧰲": [
+ "ㄔ3"
+ ],
+ "𧰴": [
+ "ㄏㄨ3"
+ ],
+ "𧰵": [
+ "ㄉㄨ1",
+ "ㄉㄨ2",
+ "ㄓㄨㄛ2"
+ ],
+ "𧰷": [
+ "ㄇㄨ3"
+ ],
+ "𧰹": [
+ "ㄋㄚ4"
+ ],
+ "𧰻": [
+ "ㄌㄧㄥ2"
+ ],
+ "𧰿": [
+ "ㄞ4"
+ ],
+ "𧱀": [
+ "ㄒㄧㄢ1"
+ ],
+ "𧱄": [
+ "ㄎㄢ3"
+ ],
+ "𧱅": [
+ "ㄙ4"
+ ],
+ "𧱆": [
+ "ㄙㄢ1"
+ ],
+ "𧱊": [
+ "ㄧ4"
+ ],
+ "𧱏": [
+ "ㄧ4"
+ ],
+ "𧱐": [
+ "ㄒㄧㄠ4",
+ "ㄒㄧㄠ1"
+ ],
+ "𧱒": [
+ "ㄓ1",
+ "ㄓㄨㄛ1"
+ ],
+ "𧱓": [
+ "ㄉㄡ4"
+ ],
+ "𧱘": [
+ "ㄇㄞ4"
+ ],
+ "𧱜": [
+ "ㄌㄨㄣ2"
+ ],
+ "𧱝": [
+ "ㄐㄩㄝ2",
+ "ㄐㄩㄣ4"
+ ],
+ "𧱡": [
+ "ㄑㄧㄤ1"
+ ],
+ "𧱢": [
+ "ㄌㄧㄥ2"
+ ],
+ "𧱩": [
+ "ㄆㄧㄢ2"
+ ],
+ "𧱪": [
+ "ㄘㄡ4"
+ ],
+ "𧱫": [
+ "ㄉㄨㄛ4"
+ ],
+ "𧱬": [
+ "ㄩ3"
+ ],
+ "𧱰": [
+ "ㄓㄨㄛ1"
+ ],
+ "𧱲": [
+ "ㄒㄧ4"
+ ],
+ "𧱳": [
+ "ㄏㄨㄞ4"
+ ],
+ "𧱴": [
+ "ㄇㄧㄥ2"
+ ],
+ "𧱵": [
+ "ㄊㄤ2"
+ ],
+ "𧱹": [
+ "ㄆㄨ1"
+ ],
+ "𧱻": [
+ "ㄇㄧ4"
+ ],
+ "𧱼": [
+ "ㄇㄢ2"
+ ],
+ "𧱾": [
+ "ㄍㄨㄞ1"
+ ],
+ "𧲀": [
+ "ㄑㄧㄢ1"
+ ],
+ "𧲂": [
+ "ㄌㄧㄣ2"
+ ],
+ "𧲃": [
+ "ㄇㄧㄣ3"
+ ],
+ "𧲄": [
+ "ㄨㄟ3"
+ ],
+ "𧲅": [
+ "ㄘㄥ2"
+ ],
+ "𧲇": [
+ "ㄏㄨ4"
+ ],
+ "𧲈": [
+ "ㄙㄨㄟ2"
+ ],
+ "𧲋": [
+ "ㄐㄩ4"
+ ],
+ "𧲌": [
+ "ㄕㄚ4"
+ ],
+ "𧲍": [
+ "ㄇㄥ2"
+ ],
+ "𧲗": [
+ "ㄨㄟ2"
+ ],
+ "𧲘": [
+ "ㄒㄧ1"
+ ],
+ "𧲙": [
+ "ㄌㄧㄥ4"
+ ],
+ "𧲜": [
+ "ㄅㄧ4"
+ ],
+ "𧲝": [
+ "ㄨㄟ4"
+ ],
+ "𧲡": [
+ "ㄌㄧ4"
+ ],
+ "𧲢": [
+ "ㄓㄜ2"
+ ],
+ "𧲤": [
+ "ㄩㄥ2"
+ ],
+ "𧲥": [
+ "ㄏㄨ2"
+ ],
+ "𧲦": [
+ "ㄨㄢ2",
+ "ㄏㄜ2"
+ ],
+ "𧲧": [
+ "ㄅㄚ1"
+ ],
+ "𧲨": [
+ "ㄐㄧㄢ1"
+ ],
+ "𧲭": [
+ "ㄗㄨㄛ3"
+ ],
+ "𧲮": [
+ "ㄓㄢ3"
+ ],
+ "𧲯": [
+ "ㄅㄛ1"
+ ],
+ "𧲰": [
+ "ㄑㄧㄡ1",
+ "ㄔㄨ1"
+ ],
+ "𧲱": [
+ "ㄧㄤ1"
+ ],
+ "𧲴": [
+ "ㄉㄨㄥ1"
+ ],
+ "𧲵": [
+ "ㄑㄩ2"
+ ],
+ "𧲺": [
+ "ㄆㄧ2"
+ ],
+ "𧲻": [
+ "ㄓㄞ3"
+ ],
+ "𧲾": [
+ "ㄕㄢ1"
+ ],
+ "𧲿": [
+ "ㄍㄡ4"
+ ],
+ "𧳀": [
+ "ㄅㄧㄠ4",
+ "ㄋㄠ3"
+ ],
+ "𧳁": [
+ "ㄧ2"
+ ],
+ "𧳂": [
+ "ㄈㄨ2"
+ ],
+ "𧳄": [
+ "ㄒㄧㄣ4"
+ ],
+ "𧳅": [
+ "ㄕ4",
+ "ㄕ3"
+ ],
+ "𧳆": [
+ "ㄊㄨㄥ1",
+ "ㄊㄨㄥ2"
+ ],
+ "𧳉": [
+ "ㄉㄧㄥ1"
+ ],
+ "𧳌": [
+ "ㄊㄨ1"
+ ],
+ "𧳍": [
+ "ㄒㄧㄠ1"
+ ],
+ "𧳎": [
+ "ㄨ2"
+ ],
+ "𧳏": [
+ "ㄆㄟ2"
+ ],
+ "𧳐": [
+ "ㄏㄨㄟ1",
+ "ㄒㄧ1"
+ ],
+ "𧳕": [
+ "ㄌㄞ2"
+ ],
+ "𧳙": [
+ "ㄙ4"
+ ],
+ "𧳚": [
+ "ㄘㄨㄟ3"
+ ],
+ "𧳛": [
+ "ㄕㄚ4"
+ ],
+ "𧳜": [
+ "ㄓㄡ3"
+ ],
+ "𧳝": [
+ "ㄓㄠ4"
+ ],
+ "𧳞": [
+ "ㄨㄟ2"
+ ],
+ "𧳟": [
+ "ㄌㄞ2"
+ ],
+ "𧳠": [
+ "ㄅㄧ4",
+ "ㄅㄧ3"
+ ],
+ "𧳣": [
+ "ㄉㄨㄥ3"
+ ],
+ "𧳦": [
+ "ㄋㄠ3"
+ ],
+ "𧳧": [
+ "ㄒㄧㄝ1"
+ ],
+ "𧳨": [
+ "ㄖㄠ3"
+ ],
+ "𧳩": [
+ "ㄊㄨㄢ4"
+ ],
+ "𧳪": [
+ "ㄨㄟ4"
+ ],
+ "𧳫": [
+ "ㄧㄡ2",
+ "ㄐㄧㄡ1",
+ "ㄑㄧㄡ2",
+ "ㄧㄡ4"
+ ],
+ "𧳬": [
+ "ㄇㄟ2"
+ ],
+ "𧳭": [
+ "ㄩㄢ2"
+ ],
+ "𧳮": [
+ "ㄓㄨㄥ4"
+ ],
+ "𧳶": [
+ "ㄙㄡ1"
+ ],
+ "𧳸": [
+ "ㄍㄨ2"
+ ],
+ "𧳹": [
+ "ㄕㄠ4"
+ ],
+ "𧳻": [
+ "ㄓㄠ3"
+ ],
+ "𧳼": [
+ "ㄆㄧ2"
+ ],
+ "𧳿": [
+ "ㄊㄨㄥ1"
+ ],
+ "𧴁": [
+ "ㄔ1"
+ ],
+ "𧴂": [
+ "ㄆㄥ2"
+ ],
+ "𧴃": [
+ "ㄔㄢ2"
+ ],
+ "𧴄": [
+ "ㄩㄥ1"
+ ],
+ "𧴅": [
+ "ㄕㄨㄤ3"
+ ],
+ "𧴇": [
+ "ㄨ3"
+ ],
+ "𧴉": [
+ "ㄆㄧ2"
+ ],
+ "𧴊": [
+ "ㄏㄨㄢ4"
+ ],
+ "𧴌": [
+ "ㄈㄨ2"
+ ],
+ "𧴎": [
+ "ㄅㄧㄠ4"
+ ],
+ "𧴓": [
+ "ㄋㄠ2"
+ ],
+ "𧴕": [
+ "ㄅㄧㄠ4"
+ ],
+ "𧴖": [
+ "ㄨㄟ4"
+ ],
+ "𧴗": [
+ "ㄩㄥ1"
+ ],
+ "𧴙": [
+ "ㄋㄠ3"
+ ],
+ "𧴚": [
+ "ㄍㄨㄞ4"
+ ],
+ "𧴠": [
+ "ㄌㄧ4"
+ ],
+ "𧴢": [
+ "ㄒㄧㄣ4"
+ ],
+ "𧴣": [
+ "ㄧㄢ2"
+ ],
+ "𧴤": [
+ "ㄆㄛ4"
+ ],
+ "𧴥": [
+ "ㄆㄟ2"
+ ],
+ "𧴪": [
+ "ㄙㄨㄛ3"
+ ],
+ "𧴬": [
+ "ㄖㄣ4"
+ ],
+ "𧴭": [
+ "ㄕㄢ3"
+ ],
+ "𧴲": [
+ "ㄙㄨㄛ3"
+ ],
+ "𧴸": [
+ "ㄉㄢ1"
+ ],
+ "𧴺": [
+ "ㄇㄣ4"
+ ],
+ "𧵃": [
+ "ㄕㄡ3"
+ ],
+ "𧵈": [
+ "ㄍㄡ4"
+ ],
+ "𧵊": [
+ "ㄏㄢ1",
+ "ㄏㄢ4",
+ "ㄊㄢ4"
+ ],
+ "𧵋": [
+ "ㄕ4"
+ ],
+ "𧵌": [
+ "ㄧㄤ3"
+ ],
+ "𧵎": [
+ "ㄍㄨ3"
+ ],
+ "𧵛": [
+ "ㄎㄜ1"
+ ],
+ "𧵞": [
+ "ㄐㄩ1"
+ ],
+ "𧵠": [
+ "ㄆㄞ4"
+ ],
+ "𧵡": [
+ "ㄘㄜ4"
+ ],
+ "𧵢": [
+ "ㄅㄠ1"
+ ],
+ "𧵣": [
+ "ㄒㄩㄥ1",
+ "ㄇㄧㄣ2"
+ ],
+ "𧵤": [
+ "ㄘㄞ2",
+ "ㄓㄨ4"
+ ],
+ "𧵧": [
+ "ㄌㄧㄣ3"
+ ],
+ "𧵨": [
+ "ㄞ4"
+ ],
+ "𧵬": [
+ "ㄇㄧ4",
+ "ㄕㄣ4"
+ ],
+ "𧵭": [
+ "ㄌㄞ3"
+ ],
+ "𧵱": [
+ "ㄒㄧㄠ1"
+ ],
+ "𧵳": [
+ "ㄕㄜ2"
+ ],
+ "𧵻": [
+ "ㄏㄨㄛ2"
+ ],
+ "𧵼": [
+ "ㄋㄧ4"
+ ],
+ "𧶄": [
+ "ㄓㄥ4"
+ ],
+ "𧶆": [
+ "ㄌㄧㄣ4"
+ ],
+ "𧶇": [
+ "ㄓㄚ2"
+ ],
+ "𧶊": [
+ "ㄩㄣ2"
+ ],
+ "𧶍": [
+ "ㄒㄩ4"
+ ],
+ "𧶔": [
+ "ㄔㄥ2"
+ ],
+ "𧶕": [
+ "ㄨㄛ3"
+ ],
+ "𧶖": [
+ "ㄒㄧ1"
+ ],
+ "𧶙": [
+ "ㄅㄟ4"
+ ],
+ "𧶜": [
+ "ㄕㄤ1",
+ "ㄕㄤ3"
+ ],
+ "𧶠": [
+ "ㄩ4"
+ ],
+ "𧶡": [
+ "ㄇㄧ4"
+ ],
+ "𧶲": [
+ "ㄉㄨㄢ3",
+ "ㄓㄨㄢ4"
+ ],
+ "𧶵": [
+ "ㄔㄚ4"
+ ],
+ "𧶶": [
+ "ㄈㄢ4"
+ ],
+ "𧶷": [
+ "ㄗㄜ2"
+ ],
+ "𧶸": [
+ "ㄔㄥ4"
+ ],
+ "𧶺": [
+ "ㄊㄧㄥ2"
+ ],
+ "𧷅": [
+ "ㄧ2"
+ ],
+ "𧷋": [
+ "ㄧㄠ1"
+ ],
+ "𧷎": [
+ "ㄎㄨ1"
+ ],
+ "𧷐": [
+ "ㄈㄣ2"
+ ],
+ "𧷑": [
+ "ㄒㄧㄝ2"
+ ],
+ "𧷒": [
+ "ㄔㄥ4"
+ ],
+ "𧷛": [
+ "ㄎㄨㄟ4"
+ ],
+ "𧷟": [
+ "ㄅㄧㄣ1"
+ ],
+ "𧷡": [
+ "ㄌㄡ2",
+ "ㄌㄡ4"
+ ],
+ "𧷥": [
+ "ㄧ4"
+ ],
+ "𧷦": [
+ "ㄇㄧ4"
+ ],
+ "𧷧": [
+ "ㄒㄧㄝ4"
+ ],
+ "𧷱": [
+ "ㄍㄨㄟ1"
+ ],
+ "𧷳": [
+ "ㄌㄨㄛ2"
+ ],
+ "𧷶": [
+ "ㄕㄢ4"
+ ],
+ "𧷾": [
+ "ㄐㄩ2"
+ ],
+ "𧷿": [
+ "ㄉㄨ1"
+ ],
+ "𧸂": [
+ "ㄒㄧㄢ1"
+ ],
+ "𧸅": [
+ "ㄓ3"
+ ],
+ "𧸈": [
+ "ㄅㄧㄣ4"
+ ],
+ "𧸕": [
+ "ㄓ3"
+ ],
+ "𧸖": [
+ "ㄓㄨㄢ4",
+ "ㄌㄧㄢ2"
+ ],
+ "𧸗": [
+ "ㄒㄩㄝ2"
+ ],
+ "𧸘": [
+ "ㄌㄧㄢ4",
+ "ㄅㄧㄢ3",
+ "ㄐㄧㄢ3"
+ ],
+ "𧸙": [
+ "ㄙㄨㄟ4"
+ ],
+ "𧸦": [
+ "ㄌㄢ4"
+ ],
+ "𧸧": [
+ "ㄐㄩ4"
+ ],
+ "𧸨": [
+ "ㄇㄧㄢ2"
+ ],
+ "𧸩": [
+ "ㄒㄩㄣ4"
+ ],
+ "𧸪": [
+ "ㄓㄢ4"
+ ],
+ "𧸫": [
+ "ㄍㄨㄣ4"
+ ],
+ "𧸲": [
+ "ㄓ4"
+ ],
+ "𧸽": [
+ "ㄨㄟ4"
+ ],
+ "𧸾": [
+ "ㄑㄩㄢ3",
+ "ㄒㄩㄢ4"
+ ],
+ "𧸿": [
+ "ㄔㄞ4"
+ ],
+ "𧹈": [
+ "ㄖㄥ2"
+ ],
+ "𧹊": [
+ "ㄩㄝ4"
+ ],
+ "𧹌": [
+ "ㄗ1"
+ ],
+ "𧹐": [
+ "ㄌㄨㄛ4"
+ ],
+ "𧹑": [
+ "ㄍㄨㄟ4"
+ ],
+ "𧹓": [
+ "ㄔㄥ2"
+ ],
+ "𧹕": [
+ "ㄐㄩ1"
+ ],
+ "𧹖": [
+ "ㄊㄧㄢ3"
+ ],
+ "𧹗": [
+ "ㄨㄢ4"
+ ],
+ "𧹛": [
+ "ㄓ1"
+ ],
+ "𧹞": [
+ "ㄋㄢ3",
+ "ㄋㄧㄢ3"
+ ],
+ "𧹣": [
+ "ㄏㄢ1"
+ ],
+ "𧹨": [
+ "ㄒㄧ1"
+ ],
+ "𧹩": [
+ "ㄌㄧㄣ2"
+ ],
+ "𧹬": [
+ "ㄧㄢ1"
+ ],
+ "𧹭": [
+ "ㄒㄩ4"
+ ],
+ "𧹲": [
+ "ㄏㄨ4"
+ ],
+ "𧹳": [
+ "ㄍㄢ4"
+ ],
+ "𧹴": [
+ "ㄒㄩ4",
+ "ㄏㄨㄛ4"
+ ],
+ "𧹶": [
+ "ㄒㄧ4"
+ ],
+ "𧹺": [
+ "ㄘㄨㄟ4"
+ ],
+ "𧹽": [
+ "ㄒㄧ4"
+ ],
+ "𧹾": [
+ "ㄏㄨ2"
+ ],
+ "𧺅": [
+ "ㄧㄢ1"
+ ],
+ "𧺎": [
+ "ㄧ4"
+ ],
+ "𧺏": [
+ "ㄔ2"
+ ],
+ "𧺐": [
+ "ㄐㄩㄝ2"
+ ],
+ "𧺒": [
+ "ㄗㄨ2"
+ ],
+ "𧺜": [
+ "ㄐㄧㄠ4"
+ ],
+ "𧺝": [
+ "ㄧ4"
+ ],
+ "𧺟": [
+ "ㄊㄢ3"
+ ],
+ "𧺠": [
+ "ㄔ4"
+ ],
+ "𧺡": [
+ "ㄅㄚ2"
+ ],
+ "𧺢": [
+ "ㄊㄡ4",
+ "ㄧ4"
+ ],
+ "𧺣": [
+ "ㄗㄨㄥ1"
+ ],
+ "𧺤": [
+ "ㄑㄧㄡ2",
+ "ㄐㄩ1"
+ ],
+ "𧺧": [
+ "ㄔ4"
+ ],
+ "𧺨": [
+ "ㄒㄧ3"
+ ],
+ "𧺰": [
+ "ㄋㄧ4"
+ ],
+ "𧺲": [
+ "ㄘㄨ1"
+ ],
+ "𧺴": [
+ "ㄨ3"
+ ],
+ "𧺶": [
+ "ㄔㄨ4"
+ ],
+ "𧺷": [
+ "ㄙㄨ1"
+ ],
+ "𧺸": [
+ "ㄩㄥ2"
+ ],
+ "𧺹": [
+ "ㄐㄩ3"
+ ],
+ "𧺺": [
+ "ㄅㄚ2"
+ ],
+ "𧺼": [
+ "ㄘ3"
+ ],
+ "𧺽": [
+ "ㄉㄧ4"
+ ],
+ "𧺾": [
+ "ㄆㄢ3"
+ ],
+ "𧺿": [
+ "ㄔ4",
+ "ㄧ4"
+ ],
+ "𧻁": [
+ "ㄑㄧㄡ3"
+ ],
+ "𧻃": [
+ "ㄧㄢ2",
+ "ㄑㄩ4"
+ ],
+ "𧻍": [
+ "ㄓㄞ3"
+ ],
+ "𧻒": [
+ "ㄒㄧㄢ4"
+ ],
+ "𧻓": [
+ "ㄅㄥ4"
+ ],
+ "𧻔": [
+ "ㄎㄨㄤ1"
+ ],
+ "𧻕": [
+ "ㄑㄧ4"
+ ],
+ "𧻖": [
+ "ㄓㄡ1"
+ ],
+ "𧻗": [
+ "ㄐㄩ2"
+ ],
+ "𧻘": [
+ "ㄑㄧㄝ4"
+ ],
+ "𧻙": [
+ "ㄇㄛ4",
+ "ㄆㄛ4"
+ ],
+ "𧻚": [
+ "ㄩㄢ2"
+ ],
+ "𧻜": [
+ "ㄍㄨㄟ4",
+ "ㄎㄨㄟ3"
+ ],
+ "𧻝": [
+ "ㄗㄨㄟ1"
+ ],
+ "𧻧": [
+ "ㄑㄧㄝ4"
+ ],
+ "𧻰": [
+ "ㄏㄨ2",
+ "ㄗㄠ4"
+ ],
+ "𧻱": [
+ "ㄑㄧㄡ2"
+ ],
+ "𧻲": [
+ "ㄏㄞ2",
+ "ㄎㄨㄟ1"
+ ],
+ "𧻳": [
+ "ㄈㄨ4"
+ ],
+ "𧻴": [
+ "ㄌㄤ4"
+ ],
+ "𧻵": [
+ "ㄕㄚ4"
+ ],
+ "𧻶": [
+ "ㄒㄧ1"
+ ],
+ "𧻷": [
+ "ㄅㄨ1"
+ ],
+ "𧻸": [
+ "ㄕ4"
+ ],
+ "𧻹": [
+ "ㄩㄥ3"
+ ],
+ "𧻺": [
+ "ㄍㄨㄤ1",
+ "ㄎㄨㄤ1"
+ ],
+ "𧻼": [
+ "ㄋㄧㄝ4"
+ ],
+ "𧻿": [
+ "ㄏㄡ3"
+ ],
+ "𧼊": [
+ "ㄇㄧ4"
+ ],
+ "𧼎": [
+ "ㄜ4"
+ ],
+ "𧼏": [
+ "ㄒㄧㄢ2"
+ ],
+ "𧼐": [
+ "ㄩㄣ3",
+ "ㄑㄩㄣ1"
+ ],
+ "𧼑": [
+ "ㄒㄩ4"
+ ],
+ "𧼒": [
+ "ㄑㄧㄣ3"
+ ],
+ "𧼓": [
+ "ㄉㄨㄥ1"
+ ],
+ "𧼔": [
+ "ㄌㄥ2"
+ ],
+ "𧼕": [
+ "ㄑㄧ4"
+ ],
+ "𧼖": [
+ "ㄌㄢ2"
+ ],
+ "𧼗": [
+ "ㄈㄨ2"
+ ],
+ "𧼘": [
+ "ㄑㄧ3"
+ ],
+ "𧼙": [
+ "ㄔㄨㄥ3"
+ ],
+ "𧼜": [
+ "ㄘㄨ4"
+ ],
+ "𧼟": [
+ "ㄇㄛ4"
+ ],
+ "𧼠": [
+ "ㄅㄟ1"
+ ],
+ "𧼤": [
+ "ㄉㄠ4"
+ ],
+ "𧼨": [
+ "ㄐㄧㄝ2",
+ "ㄐㄩㄝ2"
+ ],
+ "𧼩": [
+ "ㄔㄨㄥ4",
+ "ㄉㄨㄥ4"
+ ],
+ "𧼪": [
+ "ㄔ4"
+ ],
+ "𧼫": [
+ "ㄩ4"
+ ],
+ "𧼬": [
+ "ㄘㄨㄟ1"
+ ],
+ "𧼭": [
+ "ㄙㄨ4",
+ "ㄙㄡ1",
+ "ㄙㄡ3",
+ "ㄑㄧㄡ4"
+ ],
+ "𧼮": [
+ "ㄊㄧ4"
+ ],
+ "𧼯": [
+ "ㄕㄨ4",
+ "ㄩ2"
+ ],
+ "𧼰": [
+ "ㄓㄚ2"
+ ],
+ "𧼱": [
+ "ㄈㄨ2",
+ "ㄅㄧ2"
+ ],
+ "𧼳": [
+ "ㄔㄜ4"
+ ],
+ "𧼴": [
+ "ㄈㄛ2",
+ "ㄓ4"
+ ],
+ "𧼵": [
+ "ㄏㄡ2"
+ ],
+ "𧼶": [
+ "ㄓㄚ2"
+ ],
+ "𧽄": [
+ "ㄐㄧㄝ2"
+ ],
+ "𧽅": [
+ "ㄓㄚ2"
+ ],
+ "𧽆": [
+ "ㄓㄢ1"
+ ],
+ "𧽉": [
+ "ㄧㄢ3"
+ ],
+ "𧽊": [
+ "ㄏㄞ2"
+ ],
+ "𧽋": [
+ "ㄨ3"
+ ],
+ "𧽌": [
+ "ㄏㄨㄚ2"
+ ],
+ "𧽍": [
+ "ㄉㄧㄢ1",
+ "ㄉㄧㄢ4"
+ ],
+ "𧽎": [
+ "ㄧㄠ2"
+ ],
+ "𧽏": [
+ "ㄙㄡ1"
+ ],
+ "𧽐": [
+ "ㄑㄧㄢ1"
+ ],
+ "𧽑": [
+ "ㄐㄧ2"
+ ],
+ "𧽒": [
+ "ㄒㄩㄥ4"
+ ],
+ "𧽓": [
+ "ㄑㄧ4"
+ ],
+ "𧽔": [
+ "ㄐㄩㄣ1"
+ ],
+ "𧽖": [
+ "ㄏㄞ2"
+ ],
+ "𧽞": [
+ "ㄧㄢ3"
+ ],
+ "𧽟": [
+ "ㄐㄧㄝ2"
+ ],
+ "𧽠": [
+ "ㄘㄨㄟ1"
+ ],
+ "𧽢": [
+ "ㄊㄨㄢ2"
+ ],
+ "𧽣": [
+ "ㄓㄤ1"
+ ],
+ "𧽤": [
+ "ㄆㄧㄠ1"
+ ],
+ "𧽥": [
+ "ㄌㄨ4"
+ ],
+ "𧽦": [
+ "ㄓ1"
+ ],
+ "𧽧": [
+ "ㄔㄨ4"
+ ],
+ "𧽨": [
+ "ㄇㄧ4"
+ ],
+ "𧽩": [
+ "ㄑㄧㄤ1"
+ ],
+ "𧽫": [
+ "ㄌㄧㄢ4"
+ ],
+ "𧽲": [
+ "ㄌㄧ4"
+ ],
+ "𧽶": [
+ "ㄜ2"
+ ],
+ "𧽷": [
+ "ㄙㄨ4"
+ ],
+ "𧽸": [
+ "ㄐㄩㄝ2",
+ "ㄍㄨㄟ4"
+ ],
+ "𧽻": [
+ "ㄐㄩ2"
+ ],
+ "𧽼": [
+ "ㄊㄢ2"
+ ],
+ "𧽽": [
+ "ㄌㄧㄠ2"
+ ],
+ "𧽾": [
+ "ㄙㄢ1",
+ "ㄘㄨㄣ2"
+ ],
+ "𧽿": [
+ "ㄉㄨㄥ4"
+ ],
+ "𧾁": [
+ "ㄗㄚ2"
+ ],
+ "𧾂": [
+ "ㄓ2"
+ ],
+ "𧾆": [
+ "ㄒㄩㄢ4"
+ ],
+ "𧾇": [
+ "ㄌㄧㄥ2"
+ ],
+ "𧾊": [
+ "ㄉㄥ1"
+ ],
+ "𧾍": [
+ "ㄓㄢ1",
+ "ㄓㄢ4",
+ "ㄔㄢ2"
+ ],
+ "𧾎": [
+ "ㄒㄩㄢ1"
+ ],
+ "𧾏": [
+ "ㄑㄧㄣ3"
+ ],
+ "𧾐": [
+ "ㄐㄧㄠ4"
+ ],
+ "𧾑": [
+ "ㄆㄧ4"
+ ],
+ "𧾔": [
+ "ㄏㄢ3"
+ ],
+ "𧾚": [
+ "ㄩ2"
+ ],
+ "𧾛": [
+ "ㄍㄨㄛ2"
+ ],
+ "𧾝": [
+ "ㄒㄩㄣ2"
+ ],
+ "𧾠": [
+ "ㄒㄩㄣ2"
+ ],
+ "𧾡": [
+ "ㄔㄢ2"
+ ],
+ "𧾢": [
+ "ㄐㄧㄝ2",
+ "ㄐㄧ2"
+ ],
+ "𧾣": [
+ "ㄐㄩ2"
+ ],
+ "𧾤": [
+ "ㄧㄢ3"
+ ],
+ "𧾥": [
+ "ㄉㄨ2"
+ ],
+ "𧾧": [
+ "ㄏㄨㄥ4"
+ ],
+ "𧾨": [
+ "ㄒㄧㄢ4",
+ "ㄒㄧㄢ3"
+ ],
+ "𧾩": [
+ "ㄒㄩㄣ2",
+ "ㄒㄩㄢ4"
+ ],
+ "𧾮": [
+ "ㄌㄧㄥ2"
+ ],
+ "𧾯": [
+ "ㄐㄧㄝ2"
+ ],
+ "𧾰": [
+ "ㄧ4"
+ ],
+ "𧾱": [
+ "ㄑㄩ2"
+ ],
+ "𧾲": [
+ "ㄍㄢ1"
+ ],
+ "𧾳": [
+ "ㄈㄥ1"
+ ],
+ "𧾵": [
+ "ㄐㄩㄝ2"
+ ],
+ "𧾶": [
+ "ㄑㄩ1"
+ ],
+ "𧾻": [
+ "ㄐㄧㄡ4"
+ ],
+ "𧾽": [
+ "ㄐㄧ4"
+ ],
+ "𧾾": [
+ "ㄐㄧ3"
+ ],
+ "𧿅": [
+ "ㄒㄧ2"
+ ],
+ "𧿆": [
+ "ㄆㄤ1"
+ ],
+ "𧿈": [
+ "ㄎㄨㄤ4"
+ ],
+ "𧿉": [
+ "ㄎㄨ4",
+ "ㄨ4"
+ ],
+ "𧿋": [
+ "ㄎㄨ4"
+ ],
+ "𧿌": [
+ "ㄓㄚ4"
+ ],
+ "𧿏": [
+ "ㄅㄚ4"
+ ],
+ "𧿒": [
+ "ㄔㄣ3"
+ ],
+ "𧿓": [
+ "ㄏㄨ4"
+ ],
+ "𧿔": [
+ "ㄋㄨ4"
+ ],
+ "𧿕": [
+ "ㄜ2"
+ ],
+ "𧿖": [
+ "ㄒㄩㄥ1"
+ ],
+ "𧿗": [
+ "ㄉㄨㄣ3"
+ ],
+ "𧿘": [
+ "ㄕㄥ1"
+ ],
+ "𧿙": [
+ "ㄨㄢ2"
+ ],
+ "𧿚": [
+ "ㄈㄣ1"
+ ],
+ "𧿝": [
+ "ㄒㄧ1"
+ ],
+ "𧿞": [
+ "ㄗ1"
+ ],
+ "𧿠": [
+ "ㄏㄨ4",
+ "ㄉㄧ4"
+ ],
+ "𧿥": [
+ "ㄅㄧㄝ2"
+ ],
+ "𧿧": [
+ "ㄊㄨㄛ4"
+ ],
+ "𧿨": [
+ "ㄅㄢ3"
+ ],
+ "𧿩": [
+ "ㄍㄜ2"
+ ],
+ "𧿫": [
+ "ㄎㄜ1"
+ ],
+ "𧿲": [
+ "ㄓㄨㄟ4",
+ "ㄅㄛ2"
+ ],
+ "𧿳": [
+ "ㄈㄨ2",
+ "ㄈㄟ4"
+ ],
+ "𧿴": [
+ "ㄇㄛ4"
+ ],
+ "𧿵": [
+ "ㄐㄧㄚ2"
+ ],
+ "𧿶": [
+ "ㄊㄨㄛ2"
+ ],
+ "𧿷": [
+ "ㄩ4"
+ ],
+ "𧿹": [
+ "ㄇㄨ3"
+ ],
+ "𧿺": [
+ "ㄐㄩㄝ2"
+ ],
+ "𧿻": [
+ "ㄐㄩ2"
+ ],
+ "𧿼": [
+ "ㄍㄨㄚ1"
+ ],
+ "𧿽": [
+ "ㄆㄛ3"
+ ],
+ "𨀀": [
+ "ㄋㄧ3",
+ "ㄋㄧㄢ3"
+ ],
+ "𨀄": [
+ "ㄨㄚ3"
+ ],
+ "𨀅": [
+ "ㄧㄢ3"
+ ],
+ "𨀔": [
+ "ㄔㄡ3"
+ ],
+ "𨀕": [
+ "ㄎㄨㄤ1"
+ ],
+ "𨀖": [
+ "ㄏㄞ4"
+ ],
+ "𨀘": [
+ "ㄒㄧㄤ2"
+ ],
+ "𨀙": [
+ "ㄒㄧ1"
+ ],
+ "𨀛": [
+ "ㄘㄨㄣ2"
+ ],
+ "𨀜": [
+ "ㄊㄨㄥ1"
+ ],
+ "𨀝": [
+ "ㄖㄨㄛ4"
+ ],
+ "𨀟": [
+ "ㄉㄨㄛ2"
+ ],
+ "𨀠": [
+ "ㄔㄜ4"
+ ],
+ "𨀤": [
+ "ㄌㄟ4"
+ ],
+ "𨀥": [
+ "ㄗ1"
+ ],
+ "𨀧": [
+ "ㄓㄥ3"
+ ],
+ "𨀨": [
+ "ㄗㄨㄛ3"
+ ],
+ "𨀫": [
+ "ㄎㄤ1"
+ ],
+ "𨀬": [
+ "ㄗㄞ4"
+ ],
+ "𨀮": [
+ "ㄩㄢ1",
+ "ㄒㄩㄢ1"
+ ],
+ "𨀯": [
+ "ㄑㄩㄥ2"
+ ],
+ "𨀳": [
+ "ㄈㄚ2"
+ ],
+ "𨀴": [
+ "ㄒㄩㄣ2"
+ ],
+ "𨀶": [
+ "ㄐㄧ4"
+ ],
+ "𨀸": [
+ "ㄔㄚ1"
+ ],
+ "𨁀": [
+ "ㄕㄨ1",
+ "ㄔㄡ1"
+ ],
+ "𨁁": [
+ "ㄒㄩㄢ4"
+ ],
+ "𨁂": [
+ "ㄒㄧㄝ2"
+ ],
+ "𨁃": [
+ "ㄊㄧ1"
+ ],
+ "𨁄": [
+ "ㄏㄢ4"
+ ],
+ "𨁅": [
+ "ㄒㄧㄢ1"
+ ],
+ "𨁆": [
+ "ㄕㄢ1"
+ ],
+ "𨁇": [
+ "ㄊㄨㄣ4"
+ ],
+ "𨁈": [
+ "ㄏㄤ2",
+ "ㄍㄥ1"
+ ],
+ "𨁉": [
+ "ㄎㄨㄣ3"
+ ],
+ "𨁊": [
+ "ㄘㄣ2"
+ ],
+ "𨁋": [
+ "ㄉㄡ1"
+ ],
+ "𨁌": [
+ "ㄋㄨㄛ2"
+ ],
+ "𨁍": [
+ "ㄧㄢ4"
+ ],
+ "𨁎": [
+ "ㄔㄥ2",
+ "ㄐㄧㄥ4"
+ ],
+ "𨁏": [
+ "ㄆㄨ1"
+ ],
+ "𨁐": [
+ "ㄑㄧ4"
+ ],
+ "𨁑": [
+ "ㄩㄝ4"
+ ],
+ "𨁒": [
+ "ㄈㄨ1"
+ ],
+ "𨁗": [
+ "ㄊㄧㄥ3"
+ ],
+ "𨁟": [
+ "ㄨㄛ3"
+ ],
+ "𨁠": [
+ "ㄕㄥ1"
+ ],
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+ ],
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+ "ㄨㄟ4"
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+ "ㄊㄚ4"
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+ "ㄎㄠ4"
+ ],
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+ "ㄧㄢ3"
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+ "ㄒㄧㄝ4"
+ ],
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+ "ㄐㄧ3"
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+ "ㄔㄠ2"
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+ ],
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+ ],
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+ "ㄘㄢ2"
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+ ],
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+ "ㄧㄢ3"
+ ],
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+ "ㄙㄚ4"
+ ],
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+ "ㄔㄚ4"
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+ ],
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+ "𨆎": [
+ "ㄗㄟ2"
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+ "𨆙": [
+ "ㄙㄜ4"
+ ],
+ "𨆧": [
+ "ㄓ4"
+ ],
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+ "ㄊㄨㄟ2"
+ ],
+ "𨆪": [
+ "ㄑㄧㄥ1"
+ ],
+ "𨆬": [
+ "ㄔㄨㄛ4"
+ ],
+ "𨆰": [
+ "ㄊㄚ4",
+ "ㄉㄚ4"
+ ],
+ "𨆱": [
+ "ㄅㄧㄥ4"
+ ],
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+ "ㄨㄣ3"
+ ],
+ "𨆵": [
+ "ㄆㄛ3"
+ ],
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+ "ㄇㄛ2"
+ ],
+ "𨆾": [
+ "ㄘㄚ1"
+ ],
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+ ],
+ "𨇃": [
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+ "ㄗㄨㄢ1"
+ ],
+ "𨇄": [
+ "ㄖㄠ3"
+ ],
+ "𨇅": [
+ "ㄅㄠ4"
+ ],
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+ "ㄌㄞ4"
+ ],
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+ "ㄋㄧㄢ3"
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+ "𨇎": [
+ "ㄌㄧ2"
+ ],
+ "𨇕": [
+ "ㄐㄧㄠ3"
+ ],
+ "𨇖": [
+ "ㄌㄨ2"
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+ "𨇗": [
+ "ㄌㄧ4"
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+ "ㄌㄨㄥ2"
+ ],
+ "𨇙": [
+ "ㄍㄨㄟ4"
+ ],
+ "𨇝": [
+ "ㄔㄢ3"
+ ],
+ "𨇤": [
+ "ㄒㄧㄢ1"
+ ],
+ "𨇦": [
+ "ㄔㄢ4"
+ ],
+ "𨇨": [
+ "ㄒㄧㄝ4"
+ ],
+ "𨇩": [
+ "ㄓㄢ4"
+ ],
+ "𨇯": [
+ "ㄕㄨㄤ1"
+ ],
+ "𨇻": [
+ "ㄇㄧ3"
+ ],
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+ "ㄌㄨㄢ2"
+ ],
+ "𨇽": [
+ "ㄌㄨㄛ4"
+ ],
+ "𨈀": [
+ "ㄉㄧㄢ1"
+ ],
+ "𨈈": [
+ "ㄉㄧㄝ2"
+ ],
+ "𨈊": [
+ "ㄨㄢ1"
+ ],
+ "𨈋": [
+ "ㄩㄝ4"
+ ],
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+ "ㄌㄨㄢ2"
+ ],
+ "𨈎": [
+ "ㄌㄨㄢ2"
+ ],
+ "𨈓": [
+ "ㄌㄥ2"
+ ],
+ "𨈕": [
+ "ㄨㄞ3"
+ ],
+ "𨈖": [
+ "ㄉㄧㄣ4"
+ ],
+ "𨈗": [
+ "ㄋㄣ4"
+ ],
+ "𨈘": [
+ "ㄕㄠ3"
+ ],
+ "𨈙": [
+ "ㄒㄧㄝ4",
+ "ㄓ1"
+ ],
+ "𨈚": [
+ "ㄆㄧ2"
+ ],
+ "𨈥": [
+ "ㄇㄠ2"
+ ],
+ "𨈧": [
+ "ㄧㄣ3"
+ ],
+ "𨈩": [
+ "ㄅㄛ2"
+ ],
+ "𨈫": [
+ "ㄓㄨ4"
+ ],
+ "𨈮": [
+ "ㄔㄨㄥ1"
+ ],
+ "𨈶": [
+ "ㄇㄨ3"
+ ],
+ "𨈷": [
+ "ㄊㄨㄛ2"
+ ],
+ "𨈹": [
+ "ㄊㄨㄥ3"
+ ],
+ "𨈺": [
+ "ㄧㄝ2"
+ ],
+ "𨉁": [
+ "ㄏㄨㄤ4"
+ ],
+ "𨉃": [
+ "ㄖㄣ4"
+ ],
+ "𨉅": [
+ "ㄧㄝ4"
+ ],
+ "𨉋": [
+ "ㄊㄨㄛ1"
+ ],
+ "𨉖": [
+ "ㄗㄨㄢ1"
+ ],
+ "𨉗": [
+ "ㄩ4"
+ ],
+ "𨉚": [
+ "ㄚ1"
+ ],
+ "𨉜": [
+ "ㄓㄡ1"
+ ],
+ "𨉝": [
+ "ㄨㄢ1"
+ ],
+ "𨉡": [
+ "ㄉㄨㄛ3"
+ ],
+ "𨉢": [
+ "ㄓㄨㄥ4"
+ ],
+ "𨉣": [
+ "ㄏㄚ1"
+ ],
+ "𨉤": [
+ "ㄏㄨㄤ2"
+ ],
+ "𨉥": [
+ "ㄇㄧㄢ4",
+ "ㄊㄧ3"
+ ],
+ "𨉩": [
+ "ㄔㄨㄣ1"
+ ],
+ "𨉪": [
+ "ㄑㄧㄝ4"
+ ],
+ "𨉫": [
+ "ㄍㄨㄥ1",
+ "ㄑㄩㄥ1"
+ ],
+ "𨉬": [
+ "ㄊㄧㄥ2"
+ ],
+ "𨉭": [
+ "ㄇㄟ2"
+ ],
+ "𨉱": [
+ "ㄊㄤ4"
+ ],
+ "𨉴": [
+ "ㄖㄨㄥ2"
+ ],
+ "𨉷": [
+ "ㄖㄨㄥ2"
+ ],
+ "𨉸": [
+ "ㄑㄧ2"
+ ],
+ "𨉹": [
+ "ㄍㄨㄛ2"
+ ],
+ "𨉽": [
+ "ㄒㄧㄤ4"
+ ],
+ "𨉾": [
+ "ㄊㄧㄢ2"
+ ],
+ "𨊅": [
+ "ㄒㄧㄠ1"
+ ],
+ "𨊈": [
+ "ㄓㄢ1"
+ ],
+ "𨊉": [
+ "ㄘㄨㄟ4"
+ ],
+ "𨊔": [
+ "ㄌㄢ2"
+ ],
+ "𨊘": [
+ "ㄕㄣ1",
+ "ㄑㄩ1"
+ ],
+ "𨊚": [
+ "ㄌㄟ3"
+ ],
+ "𨊛": [
+ "ㄌㄧ4"
+ ],
+ "𨊝": [
+ "ㄔㄢ1"
+ ],
+ "𨊞": [
+ "ㄋㄧㄝ4"
+ ],
+ "𨊟": [
+ "ㄌㄨㄢ2"
+ ],
+ "𨊡": [
+ "ㄊㄧㄥ1"
+ ],
+ "𨊢": [
+ "ㄏㄨㄟ4",
+ "ㄕㄠ2"
+ ],
+ "𨊧": [
+ "ㄍㄨㄥ1"
+ ],
+ "𨊰": [
+ "ㄑㄧ4"
+ ],
+ "𨊱": [
+ "ㄩ2"
+ ],
+ "𨊳": [
+ "ㄒㄧㄣ1"
+ ],
+ "𨊸": [
+ "ㄩㄝ4"
+ ],
+ "𨊹": [
+ "ㄅㄚ1"
+ ],
+ "𨊺": [
+ "ㄉㄞ4"
+ ],
+ "𨊻": [
+ "ㄐㄧ1"
+ ],
+ "𨊼": [
+ "ㄒㄩㄢ4"
+ ],
+ "𨊿": [
+ "ㄐㄩㄝ2"
+ ],
+ "𨋀": [
+ "ㄋㄧㄡ3"
+ ],
+ "𨋈": [
+ "ㄉㄨ4"
+ ],
+ "𨋉": [
+ "ㄐㄧ2"
+ ],
+ "𨋐": [
+ "ㄆㄚ1"
+ ],
+ "𨋑": [
+ "ㄍㄨㄥ3"
+ ],
+ "𨋒": [
+ "ㄅㄣ4"
+ ],
+ "𨋔": [
+ "ㄎㄥ1",
+ "ㄐㄩ2"
+ ],
+ "𨋕": [
+ "ㄧㄤ4",
+ "ㄤ3"
+ ],
+ "𨋖": [
+ "ㄌㄧㄡ3"
+ ],
+ "𨋗": [
+ "ㄋㄧ2"
+ ],
+ "𨋘": [
+ "ㄓㄚ4"
+ ],
+ "𨋙": [
+ "ㄧㄣ4"
+ ],
+ "𨋚": [
+ "ㄋㄧㄢ3",
+ "ㄖㄨㄢ3"
+ ],
+ "𨋛": [
+ "ㄆㄠ4"
+ ],
+ "𨋝": [
+ "ㄍㄨㄥ1"
+ ],
+ "𨋞": [
+ "ㄅㄨ4"
+ ],
+ "𨋟": [
+ "ㄏㄜ2"
+ ],
+ "𨋠": [
+ "ㄖㄨㄥ3"
+ ],
+ "𨋡": [
+ "ㄍㄨㄟ4"
+ ],
+ "𨋥": [
+ "ㄅㄧ4"
+ ],
+ "𨋦": [
+ "ㄒㄧ1"
+ ],
+ "𨋧": [
+ "ㄐㄩ2"
+ ],
+ "𨋨": [
+ "ㄏㄨㄣ2"
+ ],
+ "𨋩": [
+ "ㄅㄧ4",
+ "ㄈㄨ2"
+ ],
+ "𨋫": [
+ "ㄊㄧㄠ1"
+ ],
+ "𨋬": [
+ "ㄓㄥ3",
+ "ㄔㄥ4"
+ ],
+ "𨋮": [
+ "ㄏㄨㄥ1",
+ "ㄔㄨㄣ1"
+ ],
+ "𨋯": [
+ "ㄧ4"
+ ],
+ "𨋰": [
+ "ㄘ4"
+ ],
+ "𨋲": [
+ "ㄅㄧㄥ4"
+ ],
+ "𨋷": [
+ "ㄍㄨㄥ1"
+ ],
+ "𨋺": [
+ "ㄈㄚ2"
+ ],
+ "𨋽": [
+ "ㄧㄤ2"
+ ],
+ "𨋾": [
+ "ㄒㄩ3"
+ ],
+ "𨌁": [
+ "ㄏㄨㄥ1"
+ ],
+ "𨌄": [
+ "ㄗㄤ4"
+ ],
+ "𨌅": [
+ "ㄔㄞ2"
+ ],
+ "𨌆": [
+ "ㄏㄨㄥ2"
+ ],
+ "𨌈": [
+ "ㄊㄧㄢ2"
+ ],
+ "𨌌": [
+ "ㄓ1"
+ ],
+ "𨌍": [
+ "ㄒㄧㄥ1"
+ ],
+ "𨌎": [
+ "ㄒㄩ2"
+ ],
+ "𨌑": [
+ "ㄓㄣ4"
+ ],
+ "𨌔": [
+ "ㄨㄢ3",
+ "ㄨㄢ4"
+ ],
+ "𨌘": [
+ "ㄐㄩㄣ4"
+ ],
+ "𨌝": [
+ "ㄨㄛ4",
+ "ㄏㄨㄛ4"
+ ],
+ "𨌠": [
+ "ㄌㄨ4"
+ ],
+ "𨌢": [
+ "ㄓㄥ1"
+ ],
+ "𨌣": [
+ "ㄖㄨㄥ3"
+ ],
+ "𨌤": [
+ "ㄔㄥ2",
+ "ㄔㄥ4"
+ ],
+ "𨌥": [
+ "ㄈㄨ2"
+ ],
+ "𨌧": [
+ "ㄜ4"
+ ],
+ "𨌨": [
+ "ㄊㄠ1"
+ ],
+ "𨌩": [
+ "ㄊㄤ2"
+ ],
+ "𨌫": [
+ "ㄐㄩㄢ1"
+ ],
+ "𨌬": [
+ "ㄔㄠ4"
+ ],
+ "𨌭": [
+ "ㄊㄚ4"
+ ],
+ "𨌮": [
+ "ㄉㄧ3"
+ ],
+ "𨌰": [
+ "ㄗㄨㄥ1"
+ ],
+ "𨌳": [
+ "ㄎㄥ1"
+ ],
+ "𨌴": [
+ "ㄊㄨㄟ1"
+ ],
+ "𨌶": [
+ "ㄎㄥ1"
+ ],
+ "𨍅": [
+ "ㄖㄨㄥ3"
+ ],
+ "𨍆": [
+ "ㄩㄣ1"
+ ],
+ "𨍇": [
+ "ㄏㄜ2"
+ ],
+ "𨍈": [
+ "ㄗㄨㄥ3"
+ ],
+ "𨍉": [
+ "ㄘㄨㄥ1",
+ "ㄗㄨㄥ3"
+ ],
+ "𨍊": [
+ "ㄑㄧㄡ1"
+ ],
+ "𨍎": [
+ "ㄇㄨ4"
+ ],
+ "𨍏": [
+ "ㄉㄨㄛ2"
+ ],
+ "𨍐": [
+ "ㄒㄩ3"
+ ],
+ "𨍑": [
+ "ㄎㄥ1"
+ ],
+ "𨍒": [
+ "ㄒㄧㄢ4",
+ "ㄐㄧㄢ4"
+ ],
+ "𨍛": [
+ "ㄉㄨ2"
+ ],
+ "𨍜": [
+ "ㄎㄢ3"
+ ],
+ "𨍞": [
+ "ㄧㄥ1"
+ ],
+ "𨍢": [
+ "ㄗ1"
+ ],
+ "𨍧": [
+ "ㄏㄨㄤ2"
+ ],
+ "𨍩": [
+ "ㄆㄥ2"
+ ],
+ "𨍫": [
+ "ㄌㄧ4"
+ ],
+ "𨍭": [
+ "ㄅㄛ2",
+ "ㄆㄛ4"
+ ],
+ "𨍮": [
+ "ㄍㄜ2",
+ "ㄌㄧ4"
+ ],
+ "𨍯": [
+ "ㄐㄩ2"
+ ],
+ "𨍰": [
+ "ㄎㄜ1"
+ ],
+ "𨍲": [
+ "ㄏㄨ2",
+ "ㄍㄨㄣ3"
+ ],
+ "𨍳": [
+ "ㄧㄠ2"
+ ],
+ "𨍴": [
+ "ㄊㄤ2"
+ ],
+ "𨍶": [
+ "ㄑㄩㄥ2"
+ ],
+ "𨍷": [
+ "ㄖㄨㄥ3"
+ ],
+ "𨍸": [
+ "ㄌㄧㄡ3"
+ ],
+ "𨍹": [
+ "ㄏㄨㄟ4"
+ ],
+ "𨍺": [
+ "ㄐㄧ1"
+ ],
+ "𨎉": [
+ "ㄓ4"
+ ],
+ "𨎋": [
+ "ㄊㄤ2",
+ "ㄔㄥ1"
+ ],
+ "𨎌": [
+ "ㄓ3"
+ ],
+ "𨎍": [
+ "ㄎㄤ1",
+ "ㄌㄧㄤ2"
+ ],
+ "𨎔": [
+ "ㄧㄤ4"
+ ],
+ "𨎖": [
+ "ㄊㄤ3",
+ "ㄔㄤ3"
+ ],
+ "𨎗": [
+ "ㄏㄨㄥ1"
+ ],
+ "𨎛": [
+ "ㄌㄧㄤ2"
+ ],
+ "𨎝": [
+ "ㄘㄠ2"
+ ],
+ "𨎡": [
+ "ㄋㄞ3"
+ ],
+ "𨎢": [
+ "ㄗㄨㄥ3"
+ ],
+ "𨎤": [
+ "ㄉㄥ4"
+ ],
+ "𨎦": [
+ "ㄐㄧㄠ1"
+ ],
+ "𨎧": [
+ "ㄆㄥ2"
+ ],
+ "𨎩": [
+ "ㄍㄨㄤ1"
+ ],
+ "𨎪": [
+ "ㄦ2"
+ ],
+ "𨎫": [
+ "ㄐㄧㄢ4"
+ ],
+ "𨎬": [
+ "ㄐㄧㄠ4"
+ ],
+ "𨎭": [
+ "ㄋㄨㄛ2"
+ ],
+ "𨎮": [
+ "ㄗㄠ3"
+ ],
+ "𨎳": [
+ "ㄆㄥ2"
+ ],
+ "𨎴": [
+ "ㄉㄤ1"
+ ],
+ "𨎶": [
+ "ㄑㄩ2"
+ ],
+ "𨎷": [
+ "ㄌㄧㄢ2"
+ ],
+ "𨎸": [
+ "ㄇㄨ4"
+ ],
+ "𨎹": [
+ "ㄌㄢ3"
+ ],
+ "𨎾": [
+ "ㄈㄣ2"
+ ],
+ "𨏂": [
+ "ㄏㄨㄣ2",
+ "ㄒㄩㄢ1"
+ ],
+ "𨏆": [
+ "ㄎㄨㄤ1"
+ ],
+ "𨏈": [
+ "ㄧㄣ3"
+ ],
+ "𨏉": [
+ "ㄕㄨㄢ4"
+ ],
+ "𨏊": [
+ "ㄐㄧㄢ4"
+ ],
+ "𨏒": [
+ "ㄌㄨㄛ4",
+ "ㄌㄟ2"
+ ],
+ "𨏔": [
+ "ㄌㄨ4",
+ "ㄉㄨ2"
+ ],
+ "𨏚": [
+ "ㄍㄜ2"
+ ],
+ "𨏛": [
+ "ㄖㄤ3",
+ "ㄋㄧㄢ3"
+ ],
+ "𨏞": [
+ "ㄆㄧㄣ2"
+ ],
+ "𨏠": [
+ "ㄌㄨㄥ2"
+ ],
+ "𨏤": [
+ "ㄓㄣ3"
+ ],
+ "𨏥": [
+ "ㄒㄧㄢ4"
+ ],
+ "𨏨": [
+ "ㄌㄧㄣ4"
+ ],
+ "𨏩": [
+ "ㄌㄧㄢ2"
+ ],
+ "𨏪": [
+ "ㄕㄢ1"
+ ],
+ "𨏫": [
+ "ㄅㄛ2"
+ ],
+ "𨏬": [
+ "ㄌㄧ4"
+ ],
+ "𨏳": [
+ "ㄒㄧㄝ2"
+ ],
+ "𨏴": [
+ "ㄍㄜ2"
+ ],
+ "𨏵": [
+ "ㄇㄧㄣ3"
+ ],
+ "𨏶": [
+ "ㄌㄧㄢ2"
+ ],
+ "𨏹": [
+ "ㄐㄩㄝ2"
+ ],
+ "𨏺": [
+ "ㄓㄡ1"
+ ],
+ "𨏿": [
+ "ㄎㄜ1"
+ ],
+ "𨐁": [
+ "ㄉㄧㄝ2"
+ ],
+ "𨐃": [
+ "ㄓㄜ2"
+ ],
+ "𨐅": [
+ "ㄕㄨ1"
+ ],
+ "𨐆": [
+ "ㄐㄧ1"
+ ],
+ "𨐇": [
+ "ㄌㄨㄥ2"
+ ],
+ "𨐈": [
+ "ㄍㄨㄤ1"
+ ],
+ "𨐉": [
+ "ㄗㄠ3"
+ ],
+ "𨐊": [
+ "ㄒㄧㄢ4"
+ ],
+ "𨐋": [
+ "ㄑㄧㄢ1"
+ ],
+ "𨐍": [
+ "ㄕㄣ1"
+ ],
+ "𨐐": [
+ "ㄧㄣ3"
+ ],
+ "𨐑": [
+ "ㄐㄧㄝ4"
+ ],
+ "𨐔": [
+ "ㄕㄣ1"
+ ],
+ "𨐕": [
+ "ㄕㄣ1",
+ "ㄘ2"
+ ],
+ "𨐖": [
+ "ㄙㄚ3"
+ ],
+ "𨐛": [
+ "ㄒㄧ4"
+ ],
+ "𨐡": [
+ "ㄎㄨ4"
+ ],
+ "𨐣": [
+ "ㄑㄩ2"
+ ],
+ "𨐥": [
+ "ㄍㄜ2"
+ ],
+ "𨐦": [
+ "ㄅㄢ4"
+ ],
+ "𨐨": [
+ "ㄅㄧ4"
+ ],
+ "𨐩": [
+ "ㄑㄧㄢ1"
+ ],
+ "𨐰": [
+ "ㄅㄧㄣ1"
+ ],
+ "𨐱": [
+ "ㄅㄢ4"
+ ],
+ "𨐳": [
+ "ㄗㄨㄛ4"
+ ],
+ "𨐴": [
+ "ㄆㄧ4"
+ ],
+ "𨐶": [
+ "ㄏㄨㄛ4"
+ ],
+ "𨐾": [
+ "ㄅㄢ4",
+ "ㄅㄧㄢ4"
+ ],
+ "𨑊": [
+ "ㄋㄨㄥ2"
+ ],
+ "𨑌": [
+ "ㄔㄣ2"
+ ],
+ "𨑎": [
+ "ㄆㄥ1"
+ ],
+ "𨑑": [
+ "ㄈㄨ3"
+ ],
+ "𨑒": [
+ "ㄊㄨ2"
+ ],
+ "𨑜": [
+ "ㄆㄧ3"
+ ],
+ "𨑝": [
+ "ㄆㄛ4"
+ ],
+ "𨑠": [
+ "ㄔ3"
+ ],
+ "𨑣": [
+ "ㄒㄩㄝ4"
+ ],
+ "𨑤": [
+ "ㄑㄧ4"
+ ],
+ "𨑥": [
+ "ㄨ4"
+ ],
+ "𨑨": [
+ "ㄓ4"
+ ],
+ "𨑩": [
+ "ㄉㄧ4"
+ ],
+ "𨑪": [
+ "ㄘㄨㄥ1"
+ ],
+ "𨑫": [
+ "ㄧㄡ2"
+ ],
+ "𨑹": [
+ "ㄘㄨㄥ1"
+ ],
+ "𨑼": [
+ "ㄉㄧ4"
+ ],
+ "𨑽": [
+ "ㄓㄨㄛ2"
+ ],
+ "𨑿": [
+ "ㄗㄡ3"
+ ],
+ "𨒀": [
+ "ㄘㄨㄥ2"
+ ],
+ "𨒃": [
+ "ㄆㄢ4"
+ ],
+ "𨒄": [
+ "ㄧㄢ3"
+ ],
+ "𨒅": [
+ "ㄑㄧ4"
+ ],
+ "𨒆": [
+ "ㄖㄨㄥ3"
+ ],
+ "𨒇": [
+ "ㄐㄧㄚ2"
+ ],
+ "𨒉": [
+ "ㄓ4",
+ "ㄓㄨㄟ4",
+ "ㄙㄨㄟ4"
+ ],
+ "𨒊": [
+ "ㄑㄧㄡ2"
+ ],
+ "𨒋": [
+ "ㄩㄝ4"
+ ],
+ "𨒍": [
+ "ㄕ4"
+ ],
+ "𨒑": [
+ "ㄏㄠ2"
+ ],
+ "𨒙": [
+ "ㄊㄨㄛ1",
+ "ㄏㄡ4"
+ ],
+ "𨒜": [
+ "ㄅㄧㄝ2"
+ ],
+ "𨒞": [
+ "ㄎㄢ4"
+ ],
+ "𨒢": [
+ "ㄔㄨㄛ4"
+ ],
+ "𨒤": [
+ "ㄘ3"
+ ],
+ "𨒦": [
+ "ㄧㄣ3"
+ ],
+ "𨒧": [
+ "ㄕ4"
+ ],
+ "𨒨": [
+ "ㄏㄞ4"
+ ],
+ "𨒩": [
+ "ㄖㄨㄢ3"
+ ],
+ "𨒫": [
+ "ㄧㄤ2",
+ "ㄋㄧ4"
+ ],
+ "𨒬": [
+ "ㄔ1"
+ ],
+ "𨒮": [
+ "ㄘ1"
+ ],
+ "𨒱": [
+ "ㄍㄨㄥ1"
+ ],
+ "𨒲": [
+ "ㄇㄧ2",
+ "ㄒㄩㄝ4"
+ ],
+ "𨒴": [
+ "ㄐㄧ3"
+ ],
+ "𨒼": [
+ "ㄍㄣ4"
+ ],
+ "𨒽": [
+ "ㄗㄠ4",
+ "ㄙㄨㄛ1"
+ ],
+ "𨓁": [
+ "ㄅㄥ3"
+ ],
+ "𨓇": [
+ "ㄒㄧㄣ3"
+ ],
+ "𨓈": [
+ "ㄎㄨㄛ4"
+ ],
+ "𨓊": [
+ "ㄉㄧㄝ2"
+ ],
+ "𨓍": [
+ "ㄊㄧㄥ2"
+ ],
+ "𨓚": [
+ "ㄕㄨㄟ4"
+ ],
+ "𨓞": [
+ "ㄉㄞ4"
+ ],
+ "𨓦": [
+ "ㄌㄧ3"
+ ],
+ "𨓨": [
+ "ㄩㄥ3"
+ ],
+ "𨓩": [
+ "ㄐㄧㄠ1"
+ ],
+ "𨓬": [
+ "ㄊㄚ2"
+ ],
+ "𨓭": [
+ "ㄑㄩ3",
+ "ㄘㄡ4"
+ ],
+ "𨓮": [
+ "ㄧㄣ2"
+ ],
+ "𨓯": [
+ "ㄩㄢ1"
+ ],
+ "𨓰": [
+ "ㄐㄧㄝ2"
+ ],
+ "𨓲": [
+ "ㄑㄧㄢ1"
+ ],
+ "𨓳": [
+ "ㄧㄠ1"
+ ],
+ "𨓴": [
+ "ㄧㄚ4"
+ ],
+ "𨓷": [
+ "ㄑㄧㄥ1"
+ ],
+ "𨓿": [
+ "ㄆㄟ2"
+ ],
+ "𨔗": [
+ "ㄐㄧㄚ1"
+ ],
+ "𨔙": [
+ "ㄊㄡ4"
+ ],
+ "𨔛": [
+ "ㄊㄧ1"
+ ],
+ "𨔡": [
+ "ㄉㄨㄣ4",
+ "ㄊㄨㄣ2",
+ "ㄔㄨㄢ4",
+ "ㄔㄨㄢ2"
+ ],
+ "𨔢": [
+ "ㄔㄢ3"
+ ],
+ "𨔣": [
+ "ㄐㄧㄚ1",
+ "ㄐㄧㄚ4"
+ ],
+ "𨔤": [
+ "ㄔ4"
+ ],
+ "𨔥": [
+ "ㄐㄧㄢ1",
+ "ㄐㄧㄣ1"
+ ],
+ "𨔦": [
+ "ㄕㄨ4"
+ ],
+ "𨔯": [
+ "ㄊㄚ4"
+ ],
+ "𨕕": [
+ "ㄓ1"
+ ],
+ "𨕗": [
+ "ㄩㄢ2"
+ ],
+ "𨕚": [
+ "ㄏㄨ1"
+ ],
+ "𨕜": [
+ "ㄌㄧㄝ4"
+ ],
+ "𨕠": [
+ "ㄗㄜ2"
+ ],
+ "𨕢": [
+ "ㄔㄨ4"
+ ],
+ "𨕦": [
+ "ㄑㄧㄡ4"
+ ],
+ "𨕧": [
+ "ㄅㄥ1"
+ ],
+ "𨕹": [
+ "ㄏㄨㄢ2"
+ ],
+ "𨕺": [
+ "ㄎㄨㄚ1"
+ ],
+ "𨕻": [
+ "ㄕㄥ1"
+ ],
+ "𨕽": [
+ "ㄐㄧㄝ2"
+ ],
+ "𨕿": [
+ "ㄨㄤ3"
+ ],
+ "𨖃": [
+ "ㄏㄨ1"
+ ],
+ "𨖊": [
+ "ㄗㄜ2",
+ "ㄐㄧ1"
+ ],
+ "𨖋": [
+ "ㄗㄢ3",
+ "ㄓ4"
+ ],
+ "𨖌": [
+ "ㄧㄤ4"
+ ],
+ "𨖎": [
+ "ㄔ3"
+ ],
+ "𨖏": [
+ "ㄐㄧㄡ4"
+ ],
+ "𨖚": [
+ "ㄌㄧㄠ2"
+ ],
+ "𨖛": [
+ "ㄩ1"
+ ],
+ "𨖠": [
+ "ㄅㄧㄢ3",
+ "ㄅㄧㄢ4"
+ ],
+ "𨖢": [
+ "ㄎㄨㄤ2"
+ ],
+ "𨖬": [
+ "ㄔㄡ4"
+ ],
+ "𨖭": [
+ "ㄧㄚ2"
+ ],
+ "𨖮": [
+ "ㄓㄨㄛ2"
+ ],
+ "𨖰": [
+ "ㄑㄧㄝ4"
+ ],
+ "𨖱": [
+ "ㄒㄧㄢ4"
+ ],
+ "𨖳": [
+ "ㄩㄢ1"
+ ],
+ "𨖴": [
+ "ㄨ3"
+ ],
+ "𨖵": [
+ "ㄐㄧㄠ3"
+ ],
+ "𨖶": [
+ "ㄒㄧㄤ4"
+ ],
+ "𨖷": [
+ "ㄕㄚ4"
+ ],
+ "𨖹": [
+ "ㄓ4"
+ ],
+ "𨖼": [
+ "ㄔㄨㄥ4"
+ ],
+ "𨖾": [
+ "ㄅㄧㄢ1"
+ ],
+ "𨖿": [
+ "ㄨㄟ1"
+ ],
+ "𨗓": [
+ "ㄉㄠ4"
+ ],
+ "𨗝": [
+ "ㄩ4",
+ "ㄐㄩ2"
+ ],
+ "𨗞": [
+ "ㄊㄨㄟ2"
+ ],
+ "𨗡": [
+ "ㄔㄠ4"
+ ],
+ "𨗥": [
+ "ㄏㄨㄟ4"
+ ],
+ "𨗦": [
+ "ㄑㄧㄢ3"
+ ],
+ "𨗨": [
+ "ㄨㄟ3"
+ ],
+ "𨗰": [
+ "ㄧㄡ2"
+ ],
+ "𨗼": [
+ "ㄉㄧ4",
+ "ㄉㄞ4"
+ ],
+ "𨗾": [
+ "ㄉㄚ4"
+ ],
+ "𨘁": [
+ "ㄧㄡ2"
+ ],
+ "𨘂": [
+ "ㄐㄧㄡ4"
+ ],
+ "𨘃": [
+ "ㄊㄨㄟ2"
+ ],
+ "𨘄": [
+ "ㄗㄢ3"
+ ],
+ "𨘇": [
+ "ㄏㄨㄟ4"
+ ],
+ "𨘉": [
+ "ㄕㄚ4"
+ ],
+ "𨘌": [
+ "ㄏㄨㄛ4"
+ ],
+ "𨘔": [
+ "ㄧㄠ2"
+ ],
+ "𨘙": [
+ "ㄒㄧㄢ4"
+ ],
+ "𨘞": [
+ "ㄒㄧㄢ4"
+ ],
+ "𨘬": [
+ "ㄉㄧ4"
+ ],
+ "𨘮": [
+ "ㄐㄧㄡ4"
+ ],
+ "𨘲": [
+ "ㄏㄨㄟ4"
+ ],
+ "𨘴": [
+ "ㄎㄠ4"
+ ],
+ "𨘵": [
+ "ㄧㄡ2"
+ ],
+ "𨘸": [
+ "ㄌㄧ4"
+ ],
+ "𨘼": [
+ "ㄔㄨㄢ2"
+ ],
+ "𨘾": [
+ "ㄔ2"
+ ],
+ "𨙀": [
+ "ㄏㄨㄛ4"
+ ],
+ "𨙂": [
+ "ㄧㄡ2"
+ ],
+ "𨙄": [
+ "ㄩㄝ4"
+ ],
+ "𨙎": [
+ "ㄊㄚ4"
+ ],
+ "𨙏": [
+ "ㄗㄢ4"
+ ],
+ "𨙓": [
+ "ㄋㄧㄝ4"
+ ],
+ "𨙔": [
+ "ㄓㄨ4"
+ ],
+ "𨙡": [
+ "ㄒㄧㄢ3"
+ ],
+ "𨙩": [
+ "ㄕ2"
+ ],
+ "𨙫": [
+ "ㄎㄡ3"
+ ],
+ "𨙬": [
+ "ㄑㄧ3"
+ ],
+ "𨙭": [
+ "ㄊㄨ3"
+ ],
+ "𨙮": [
+ "ㄈㄢ2"
+ ],
+ "𨙯": [
+ "ㄘㄨㄣ1"
+ ],
+ "𨙲": [
+ "ㄊㄨㄣ2",
+ "ㄘㄨㄣ1"
+ ],
+ "𨙳": [
+ "ㄔㄚ1"
+ ],
+ "𨙴": [
+ "ㄘㄞ2",
+ "ㄗㄞ4"
+ ],
+ "𨙵": [
+ "ㄒㄧㄤ4"
+ ],
+ "𨙶": [
+ "ㄆㄟ4"
+ ],
+ "𨙷": [
+ "ㄐㄧㄥ3"
+ ],
+ "𨙸": [
+ "ㄑㄧ2",
+ "ㄓ1"
+ ],
+ "𨙹": [
+ "ㄕㄠ3"
+ ],
+ "𨙺": [
+ "ㄋㄧㄡ3"
+ ],
+ "𨙻": [
+ "ㄋㄚ4"
+ ],
+ "𨙽": [
+ "ㄑㄧㄣ2"
+ ],
+ "𨚍": [
+ "ㄅㄧ4",
+ "ㄅㄟ4"
+ ],
+ "𨚓": [
+ "ㄅㄧ4",
+ "ㄈㄟ4",
+ "ㄈㄨ2"
+ ],
+ "𨚔": [
+ "ㄅㄠ1"
+ ],
+ "𨚕": [
+ "ㄅㄧㄢ4"
+ ],
+ "𨚖": [
+ "ㄗ1"
+ ],
+ "𨚗": [
+ "ㄋㄚ4"
+ ],
+ "𨚘": [
+ "ㄨㄟ4"
+ ],
+ "𨚙": [
+ "ㄏㄠ2"
+ ],
+ "𨚡": [
+ "ㄐㄧㄣ3"
+ ],
+ "𨚣": [
+ "ㄓㄥ4"
+ ],
+ "𨚧": [
+ "ㄑㄧㄝ2"
+ ],
+ "𨚮": [
+ "ㄏㄠ4"
+ ],
+ "𨚯": [
+ "ㄊㄨㄥ2"
+ ],
+ "𨚰": [
+ "ㄗㄠ3"
+ ],
+ "𨚱": [
+ "ㄕㄥ4"
+ ],
+ "𨚲": [
+ "ㄘㄨㄣ2"
+ ],
+ "𨚳": [
+ "ㄏㄨㄤ1"
+ ],
+ "𨚴": [
+ "ㄖㄨ2"
+ ],
+ "𨚵": [
+ "ㄗㄞ4"
+ ],
+ "𨚶": [
+ "ㄋㄧㄢ2"
+ ],
+ "𨚾": [
+ "ㄒㄧㄢ1"
+ ],
+ "𨛈": [
+ "ㄑㄩㄢ2"
+ ],
+ "𨛉": [
+ "ㄐㄧ4"
+ ],
+ "𨛊": [
+ "ㄧㄣ2"
+ ],
+ "𨛋": [
+ "ㄌㄧ3"
+ ],
+ "𨛌": [
+ "ㄇㄤ2"
+ ],
+ "𨛍": [
+ "ㄕㄠ4"
+ ],
+ "𨛎": [
+ "ㄏㄢ4"
+ ],
+ "𨛏": [
+ "ㄘㄨㄛ4"
+ ],
+ "𨛐": [
+ "ㄐㄩㄣ4"
+ ],
+ "𨛑": [
+ "ㄐㄧ4"
+ ],
+ "𨛒": [
+ "ㄅㄨ4"
+ ],
+ "𨛓": [
+ "ㄌㄨㄥ4"
+ ],
+ "𨛔": [
+ "ㄈㄡ3"
+ ],
+ "𨛕": [
+ "ㄧㄡ2"
+ ],
+ "𨛖": [
+ "ㄎㄨㄞ4"
+ ],
+ "𨛜": [
+ "ㄒㄧㄤ4"
+ ],
+ "𨛡": [
+ "ㄩㄣ2"
+ ],
+ "𨛣": [
+ "ㄑㄧㄣ2"
+ ],
+ "𨛤": [
+ "ㄏㄨㄟ2"
+ ],
+ "𨛥": [
+ "ㄆㄨ2"
+ ],
+ "𨛫": [
+ "ㄌㄧ2"
+ ],
+ "𨛬": [
+ "ㄆㄟ2"
+ ],
+ "𨛭": [
+ "ㄕㄨ1",
+ "ㄕㄜ4"
+ ],
+ "𨛮": [
+ "ㄐㄩ1"
+ ],
+ "𨛯": [
+ "ㄧ2"
+ ],
+ "𨛰": [
+ "ㄓㄥ1"
+ ],
+ "𨛱": [
+ "ㄔㄨㄥ2"
+ ],
+ "𨛳": [
+ "ㄒㄧ2",
+ "ㄐㄧ2"
+ ],
+ "𨛵": [
+ "ㄏㄨ3"
+ ],
+ "𨛶": [
+ "ㄖㄡ2",
+ "ㄕㄡ4"
+ ],
+ "𨜌": [
+ "ㄏㄨㄢ4"
+ ],
+ "𨜍": [
+ "ㄑㄧㄠ4"
+ ],
+ "𨜎": [
+ "ㄓ1"
+ ],
+ "𨜏": [
+ "ㄧㄥ2"
+ ],
+ "𨜐": [
+ "ㄒㄧ3"
+ ],
+ "𨜑": [
+ "ㄑㄧㄠ1"
+ ],
+ "𨜒": [
+ "ㄐㄧ4"
+ ],
+ "𨜓": [
+ "ㄓㄥ1"
+ ],
+ "𨜔": [
+ "ㄏㄨㄤ2"
+ ],
+ "𨜖": [
+ "ㄩ2"
+ ],
+ "𨜗": [
+ "ㄗㄡ1"
+ ],
+ "𨜘": [
+ "ㄇㄟ2"
+ ],
+ "𨜜": [
+ "ㄕㄥ3"
+ ],
+ "𨜩": [
+ "ㄑㄩㄢ2"
+ ],
+ "𨜰": [
+ "ㄐㄧㄤ1"
+ ],
+ "𨜱": [
+ "ㄏㄜ2"
+ ],
+ "𨜳": [
+ "ㄊㄨㄥ2"
+ ],
+ "𨜴": [
+ "ㄏㄜ2"
+ ],
+ "𨜵": [
+ "ㄨㄣ1"
+ ],
+ "𨜶": [
+ "ㄧ4"
+ ],
+ "𨜷": [
+ "ㄆㄤ2"
+ ],
+ "𨜺": [
+ "ㄨㄥ1"
+ ],
+ "𨜻": [
+ "ㄑㄧㄢ2"
+ ],
+ "𨜼": [
+ "ㄌㄧ4"
+ ],
+ "𨜽": [
+ "ㄧ2"
+ ],
+ "𨜾": [
+ "ㄔㄨㄤ4"
+ ],
+ "𨜿": [
+ "ㄒㄩ4"
+ ],
+ "𨝀": [
+ "ㄨㄟ3"
+ ],
+ "𨝆": [
+ "ㄍㄜ1"
+ ],
+ "𨝈": [
+ "ㄩ3"
+ ],
+ "𨝋": [
+ "ㄓㄞ4"
+ ],
+ "𨝌": [
+ "ㄍㄢ1"
+ ],
+ "𨝍": [
+ "ㄑㄧㄢ1"
+ ],
+ "𨝎": [
+ "ㄎㄤ1"
+ ],
+ "𨝏": [
+ "ㄌㄧ2"
+ ],
+ "𨝐": [
+ "ㄕㄣ1"
+ ],
+ "𨝑": [
+ "ㄍㄨㄢ4"
+ ],
+ "𨝓": [
+ "ㄆㄧㄠ2"
+ ],
+ "𨝖": [
+ "ㄌㄧ2"
+ ],
+ "𨝘": [
+ "ㄏㄨ3"
+ ],
+ "𨝛": [
+ "ㄊㄨ2"
+ ],
+ "𨝜": [
+ "ㄕㄨㄣ4"
+ ],
+ "𨝞": [
+ "ㄏㄨ4"
+ ],
+ "𨝟": [
+ "ㄌㄧ2"
+ ],
+ "𨝢": [
+ "ㄌㄡ4"
+ ],
+ "𨝦": [
+ "ㄉㄤ4"
+ ],
+ "𨝨": [
+ "ㄗㄨㄛ4"
+ ],
+ "𨝩": [
+ "ㄕㄢ1"
+ ],
+ "𨝫": [
+ "ㄕㄜ4",
+ "ㄒㄧ4"
+ ],
+ "𨝭": [
+ "ㄈㄥ2"
+ ],
+ "𨝮": [
+ "ㄐㄩ4",
+ "ㄗㄡ1"
+ ],
+ "𨝯": [
+ "ㄊㄨㄥ2"
+ ],
+ "𨝰": [
+ "ㄐㄧㄠ3"
+ ],
+ "𨝱": [
+ "ㄑㄧㄠ2"
+ ],
+ "𨝲": [
+ "ㄍㄠ1",
+ "ㄏㄠ4"
+ ],
+ "𨝳": [
+ "ㄗ1"
+ ],
+ "𨝴": [
+ "ㄏㄨㄤ2"
+ ],
+ "𨝵": [
+ "ㄕㄢ1"
+ ],
+ "𨝸": [
+ "ㄊㄢ2"
+ ],
+ "𨞌": [
+ "ㄊㄨㄛ1"
+ ],
+ "𨞎": [
+ "ㄌㄧㄥ4"
+ ],
+ "𨞐": [
+ "ㄔㄥ2"
+ ],
+ "𨞑": [
+ "ㄨㄥ4"
+ ],
+ "𨞒": [
+ "ㄗㄨㄛ2"
+ ],
+ "𨞓": [
+ "ㄩ4"
+ ],
+ "𨞕": [
+ "ㄓㄨ2",
+ "ㄔㄨ4"
+ ],
+ "𨞗": [
+ "ㄑㄩㄣ2"
+ ],
+ "𨞘": [
+ "ㄒㄧ3"
+ ],
+ "𨞙": [
+ "ㄑㄩ2"
+ ],
+ "𨞛": [
+ "ㄍㄜ2"
+ ],
+ "𨞢": [
+ "ㄑㄧ1"
+ ],
+ "𨞣": [
+ "ㄒㄩ1"
+ ],
+ "𨞨": [
+ "ㄍㄞ4"
+ ],
+ "𨞩": [
+ "ㄑㄩㄝ4"
+ ],
+ "𨞪": [
+ "ㄔㄡ2",
+ "ㄕㄡ4"
+ ],
+ "𨞫": [
+ "ㄇㄥ2"
+ ],
+ "𨞲": [
+ "ㄕㄣ1"
+ ],
+ "𨞳": [
+ "ㄑㄩ2"
+ ],
+ "𨞶": [
+ "ㄑㄧㄠ1"
+ ],
+ "𨞷": [
+ "ㄘㄢ2"
+ ],
+ "𨞺": [
+ "ㄌㄧ4"
+ ],
+ "𨞼": [
+ "ㄨㄢ4"
+ ],
+ "𨞽": [
+ "ㄌㄟ2"
+ ],
+ "𨞾": [
+ "ㄒㄧㄥ1"
+ ],
+ "𨞿": [
+ "ㄌㄤ2"
+ ],
+ "𨟂": [
+ "ㄕ4"
+ ],
+ "𨟃": [
+ "ㄓㄥ1"
+ ],
+ "𨟄": [
+ "ㄈㄢ2"
+ ],
+ "𨟊": [
+ "ㄓ4"
+ ],
+ "𨟏": [
+ "ㄧㄣ2"
+ ],
+ "𨟑": [
+ "ㄌㄧ4"
+ ],
+ "𨟖": [
+ "ㄇㄛ2"
+ ],
+ "𨟗": [
+ "ㄨㄟ3"
+ ],
+ "𨟙": [
+ "ㄧㄥ1"
+ ],
+ "𨟚": [
+ "ㄖㄤ2"
+ ],
+ "𨟠": [
+ "ㄑㄩㄢ1",
+ "ㄑㄩㄝ4",
+ "ㄐㄩㄝ2"
+ ],
+ "𨟥": [
+ "ㄌㄨㄛ3"
+ ],
+ "𨟲": [
+ "ㄉㄞ4"
+ ],
+ "𨟴": [
+ "ㄧㄣ4"
+ ],
+ "𨟵": [
+ "ㄅㄧ3"
+ ],
+ "𨟶": [
+ "ㄍㄜ1"
+ ],
+ "𨟸": [
+ "ㄨㄣ4"
+ ],
+ "𨟹": [
+ "ㄧㄢ3"
+ ],
+ "𨟺": [
+ "ㄇㄧㄢ3"
+ ],
+ "𨟼": [
+ "ㄍㄤ3"
+ ],
+ "𨟽": [
+ "ㄑㄧㄡ2"
+ ],
+ "𨟾": [
+ "ㄓ1"
+ ],
+ "𨠋": [
+ "ㄍㄨ1"
+ ],
+ "𨠌": [
+ "ㄊㄨㄥ2"
+ ],
+ "𨠎": [
+ "ㄌㄧㄥ2"
+ ],
+ "𨠏": [
+ "ㄊㄧ2"
+ ],
+ "𨠐": [
+ "ㄘ2"
+ ],
+ "𨠑": [
+ "ㄧ2",
+ "ㄊㄨㄛ2"
+ ],
+ "𨠒": [
+ "ㄈㄢ4"
+ ],
+ "𨠓": [
+ "ㄆㄛ1"
+ ],
+ "𨠔": [
+ "ㄅㄧ4"
+ ],
+ "𨠖": [
+ "ㄅㄠ4"
+ ],
+ "𨠟": [
+ "ㄆㄥ1"
+ ],
+ "𨠡": [
+ "ㄙㄨㄢ1"
+ ],
+ "𨠤": [
+ "ㄙㄨㄥ1",
+ "ㄋㄨㄥ2"
+ ],
+ "𨠥": [
+ "ㄨㄟ2"
+ ],
+ "𨠦": [
+ "ㄒㄧㄠ2"
+ ],
+ "𨠬": [
+ "ㄏㄠ4"
+ ],
+ "𨠭": [
+ "ㄧㄢ3"
+ ],
+ "𨠶": [
+ "ㄧ2"
+ ],
+ "𨠷": [
+ "ㄗㄠ1"
+ ],
+ "𨠸": [
+ "ㄧㄥ3"
+ ],
+ "𨠹": [
+ "ㄋㄢ3"
+ ],
+ "𨠿": [
+ "ㄗㄚ1"
+ ],
+ "𨡁": [
+ "ㄊㄧㄢ3"
+ ],
+ "𨡂": [
+ "ㄒㄧ1"
+ ],
+ "𨡃": [
+ "ㄐㄧㄠ4"
+ ],
+ "𨡄": [
+ "ㄧㄢ2"
+ ],
+ "𨡌": [
+ "ㄋㄟ2"
+ ],
+ "𨡍": [
+ "ㄊㄢ3"
+ ],
+ "𨡎": [
+ "ㄧㄢ4"
+ ],
+ "𨡏": [
+ "ㄊㄧㄢ3"
+ ],
+ "𨡐": [
+ "ㄓ4"
+ ],
+ "𨡑": [
+ "ㄔㄡ1",
+ "ㄔㄡ2"
+ ],
+ "𨡒": [
+ "ㄊㄠ2"
+ ],
+ "𨡗": [
+ "ㄓㄚ4"
+ ],
+ "𨡞": [
+ "ㄇㄧㄢ3"
+ ],
+ "𨡡": [
+ "ㄨ3"
+ ],
+ "𨡢": [
+ "ㄧㄣ3"
+ ],
+ "𨡣": [
+ "ㄧㄢ4"
+ ],
+ "𨡤": [
+ "ㄌㄠ3"
+ ],
+ "𨡩": [
+ "ㄆㄛ1"
+ ],
+ "𨡫": [
+ "ㄏㄨㄣ4"
+ ],
+ "𨡬": [
+ "ㄏㄞ3"
+ ],
+ "𨡭": [
+ "ㄇㄨ2"
+ ],
+ "𨡮": [
+ "ㄘㄨㄥ1"
+ ],
+ "𨡱": [
+ "ㄎㄨ4",
+ "ㄉㄧㄥ3"
+ ],
+ "𨡲": [
+ "ㄔㄡ1"
+ ],
+ "𨡴": [
+ "ㄧㄡ3"
+ ],
+ "𨡸": [
+ "ㄓㄨㄛ2"
+ ],
+ "𨡻": [
+ "ㄙㄡ1"
+ ],
+ "𨢂": [
+ "ㄧㄣ4"
+ ],
+ "𨢅": [
+ "ㄗㄨㄟ4"
+ ],
+ "𨢆": [
+ "ㄙㄤ1"
+ ],
+ "𨢇": [
+ "ㄌㄧㄡ4"
+ ],
+ "𨢈": [
+ "ㄏㄢ4"
+ ],
+ "𨢉": [
+ "ㄨㄟ4"
+ ],
+ "𨢊": [
+ "ㄇㄥ2"
+ ],
+ "𨢋": [
+ "ㄏㄨ2"
+ ],
+ "𨢌": [
+ "ㄌㄧ4"
+ ],
+ "𨢎": [
+ "ㄇㄧ4",
+ "ㄧㄣ1"
+ ],
+ "𨢐": [
+ "ㄅㄤ1"
+ ],
+ "𨢑": [
+ "ㄐㄧㄢ3"
+ ],
+ "𨢜": [
+ "ㄑㄩㄝ4"
+ ],
+ "𨢠": [
+ "ㄇㄥ2"
+ ],
+ "𨢢": [
+ "ㄇㄨ2"
+ ],
+ "𨢣": [
+ "ㄏㄨㄥ3"
+ ],
+ "𨢤": [
+ "ㄏㄨ4"
+ ],
+ "𨢥": [
+ "ㄇㄧ2"
+ ],
+ "𨢦": [
+ "ㄕㄞ4",
+ "ㄓㄚ4"
+ ],
+ "𨢩": [
+ "ㄕㄤ1"
+ ],
+ "𨢪": [
+ "ㄔㄠ4"
+ ],
+ "𨢬": [
+ "ㄓㄨㄛ2",
+ "ㄊㄨ2"
+ ],
+ "𨢮": [
+ "ㄓ1"
+ ],
+ "𨢯": [
+ "ㄋㄧㄢ4"
+ ],
+ "𨢵": [
+ "ㄐㄧ4"
+ ],
+ "𨢸": [
+ "ㄎㄜ1"
+ ],
+ "𨢹": [
+ "ㄓㄥ1"
+ ],
+ "𨢿": [
+ "ㄉㄢ1"
+ ],
+ "𨣀": [
+ "ㄌㄧㄠ3"
+ ],
+ "𨣁": [
+ "ㄓㄢ3"
+ ],
+ "𨣂": [
+ "ㄍㄨㄥ3"
+ ],
+ "𨣃": [
+ "ㄌㄠ2",
+ "ㄌㄠ4"
+ ],
+ "𨣄": [
+ "ㄏㄨㄚ1"
+ ],
+ "𨣅": [
+ "ㄔㄨㄞ4"
+ ],
+ "𨣇": [
+ "ㄐㄧㄢ3"
+ ],
+ "𨣈": [
+ "ㄎㄨㄟ4"
+ ],
+ "𨣍": [
+ "ㄕㄜ1"
+ ],
+ "𨣔": [
+ "ㄔㄣ3"
+ ],
+ "𨣕": [
+ "ㄊㄢ3"
+ ],
+ "𨣗": [
+ "ㄏㄨ2"
+ ],
+ "𨣘": [
+ "ㄇㄥ2"
+ ],
+ "𨣙": [
+ "ㄆㄠ4"
+ ],
+ "𨣚": [
+ "ㄓㄢ3"
+ ],
+ "𨣛": [
+ "ㄔㄤ2"
+ ],
+ "𨣝": [
+ "ㄍㄢ3",
+ "ㄐㄧㄢ3"
+ ],
+ "𨣠": [
+ "ㄧ4"
+ ],
+ "𨣢": [
+ "ㄙㄨㄟ4"
+ ],
+ "𨣦": [
+ "ㄒㄩ4"
+ ],
+ "𨣧": [
+ "ㄐㄧ4"
+ ],
+ "𨣨": [
+ "ㄌㄢ4"
+ ],
+ "𨣬": [
+ "ㄧ2"
+ ],
+ "𨣯": [
+ "ㄇㄧ4"
+ ],
+ "𨣱": [
+ "ㄇㄧㄝ4"
+ ],
+ "𨣵": [
+ "ㄘㄨㄢ2"
+ ],
+ "𨣸": [
+ "ㄌㄢ3"
+ ],
+ "𨣻": [
+ "ㄧㄢ1",
+ "ㄧㄢ3"
+ ],
+ "𨣾": [
+ "ㄇㄧ2"
+ ],
+ "𨤂": [
+ "ㄩㄥ3"
+ ],
+ "𨤃": [
+ "ㄘㄤ2",
+ "ㄗㄚ1"
+ ],
+ "𨤄": [
+ "ㄐㄧㄢ3"
+ ],
+ "𨤇": [
+ "ㄙㄡ1",
+ "ㄗㄠ1"
+ ],
+ "𨤎": [
+ "ㄧㄢ2"
+ ],
+ "𨤑": [
+ "ㄐㄩㄢ4"
+ ],
+ "𨤕": [
+ "ㄜ4"
+ ],
+ "𨤘": [
+ "ㄈㄣ4"
+ ],
+ "𨤚": [
+ "ㄈㄣ4"
+ ],
+ "𨤡": [
+ "ㄍㄨㄤ4"
+ ],
+ "𨤢": [
+ "ㄇㄞ2"
+ ],
+ "𨤤": [
+ "ㄌㄧㄝ3"
+ ],
+ "𨤩": [
+ "ㄔㄨㄥ1"
+ ],
+ "𨤫": [
+ "ㄌㄧ2"
+ ],
+ "𨤱": [
+ "ㄓ2"
+ ],
+ "𨤴": [
+ "ㄒㄧㄝ4"
+ ],
+ "𨤷": [
+ "ㄔㄡ2"
+ ],
+ "𨤹": [
+ "ㄐㄧ2"
+ ],
+ "𨤽": [
+ "ㄆㄧ1"
+ ],
+ "𨥂": [
+ "ㄐㄧㄝ2"
+ ],
+ "𨥇": [
+ "ㄓㄡ3",
+ "ㄓㄨ4"
+ ],
+ "𨥍": [
+ "ㄒㄩㄥ1"
+ ],
+ "𨥑": [
+ "ㄎㄨㄤ4",
+ "ㄍㄨㄥ3"
+ ],
+ "𨥙": [
+ "ㄐㄧㄥ3"
+ ],
+ "𨥛": [
+ "ㄏㄨ4"
+ ],
+ "𨥞": [
+ "ㄑㄧㄢ2"
+ ],
+ "𨥣": [
+ "ㄘㄣ2"
+ ],
+ "𨥦": [
+ "ㄑㄧ2"
+ ],
+ "𨥧": [
+ "ㄨㄢ3",
+ "ㄈㄢ4",
+ "ㄅㄧㄢ1"
+ ],
+ "𨥨": [
+ "ㄇㄠ2"
+ ],
+ "𨥪": [
+ "ㄉㄡ3"
+ ],
+ "𨥴": [
+ "ㄎㄡ3"
+ ],
+ "𨥶": [
+ "ㄉㄞ4"
+ ],
+ "𨥸": [
+ "ㄋㄠ2"
+ ],
+ "𨥺": [
+ "ㄏㄨㄥ2"
+ ],
+ "𨦂": [
+ "ㄌㄞ3"
+ ],
+ "𨦃": [
+ "ㄉㄨㄛ3",
+ "ㄉㄨㄛ4"
+ ],
+ "𨦄": [
+ "ㄑㄧㄢ1"
+ ],
+ "𨦆": [
+ "ㄧㄣ2"
+ ],
+ "𨦖": [
+ "ㄌㄡ4"
+ ],
+ "𨦗": [
+ "ㄏㄨㄟ1"
+ ],
+ "𨦛": [
+ "ㄈㄨ4"
+ ],
+ "𨦜": [
+ "ㄇㄠ2"
+ ],
+ "𨦞": [
+ "ㄓㄡ1"
+ ],
+ "𨦡": [
+ "ㄩㄥ2",
+ "ㄧㄤ2"
+ ],
+ "𨦭": [
+ "ㄌㄠ2"
+ ],
+ "𨦮": [
+ "ㄐㄧ2"
+ ],
+ "𨦯": [
+ "ㄧ4"
+ ],
+ "𨦰": [
+ "ㄌㄧㄡ2"
+ ],
+ "𨦱": [
+ "ㄘㄨㄥ1"
+ ],
+ "𨦳": [
+ "ㄋㄢ3"
+ ],
+ "𨧀": [
+ "ㄉㄨ4"
+ ],
+ "𨧐": [
+ "ㄊㄨㄣ1"
+ ],
+ "𨧑": [
+ "ㄒㄧㄤ4"
+ ],
+ "𨧕": [
+ "ㄅㄧㄢ4"
+ ],
+ "𨧖": [
+ "ㄔㄨㄤ2"
+ ],
+ "𨧗": [
+ "ㄨ4"
+ ],
+ "𨧙": [
+ "ㄐㄩ1"
+ ],
+ "𨧥": [
+ "ㄒㄧㄝ1"
+ ],
+ "𨧦": [
+ "ㄆㄧ1"
+ ],
+ "𨧧": [
+ "ㄓㄨㄛ2"
+ ],
+ "𨧨": [
+ "ㄖㄨㄟ4",
+ "ㄓㄨㄟ4"
+ ],
+ "𨧪": [
+ "ㄙㄠ4"
+ ],
+ "𨧫": [
+ "ㄗ4"
+ ],
+ "𨧭": [
+ "ㄓㄥ4"
+ ],
+ "𨧰": [
+ "ㄗㄨ2"
+ ],
+ "𨧱": [
+ "ㄑㄩ1"
+ ],
+ "𨧳": [
+ "ㄔ4"
+ ],
+ "𨧵": [
+ "ㄓ4"
+ ],
+ "𨨏": [
+ "ㄅㄛ1"
+ ],
+ "𨨗": [
+ "ㄑㄩㄢ4"
+ ],
+ "𨨘": [
+ "ㄑㄧㄢ1"
+ ],
+ "𨨙": [
+ "ㄧㄚ1"
+ ],
+ "𨨚": [
+ "ㄔㄠ4"
+ ],
+ "𨨛": [
+ "ㄏㄜ2"
+ ],
+ "𨨜": [
+ "ㄖㄨ3"
+ ],
+ "𨨠": [
+ "ㄐㄩ1"
+ ],
+ "𨨡": [
+ "ㄨ4"
+ ],
+ "𨨬": [
+ "ㄔ4"
+ ],
+ "𨨭": [
+ "ㄎㄨㄤ4",
+ "ㄍㄨㄥ3"
+ ],
+ "𨨯": [
+ "ㄘㄡ4",
+ "ㄓㄡ4"
+ ],
+ "𨨰": [
+ "ㄖㄨㄢ4"
+ ],
+ "𨨱": [
+ "ㄎㄨㄛ4"
+ ],
+ "𨨲": [
+ "ㄔ2"
+ ],
+ "𨨳": [
+ "ㄗㄨ2"
+ ],
+ "𨨴": [
+ "ㄐㄧㄠ1"
+ ],
+ "𨨶": [
+ "ㄩ2"
+ ],
+ "𨨷": [
+ "ㄊㄨ2"
+ ],
+ "𨨸": [
+ "ㄇㄥ2"
+ ],
+ "𨨹": [
+ "ㄉㄚ1"
+ ],
+ "𨨺": [
+ "ㄕㄨㄛ4",
+ "ㄒㄩㄝ1"
+ ],
+ "𨩥": [
+ "ㄈㄥ1"
+ ],
+ "𨩦": [
+ "ㄍㄡ3"
+ ],
+ "𨩧": [
+ "ㄉㄨㄥ1"
+ ],
+ "𨩨": [
+ "ㄔㄚ3"
+ ],
+ "𨩩": [
+ "ㄇㄠ4"
+ ],
+ "𨩪": [
+ "ㄔㄢ3"
+ ],
+ "𨩫": [
+ "ㄅㄧㄢ1"
+ ],
+ "𨩬": [
+ "ㄩ4"
+ ],
+ "𨩯": [
+ "ㄨㄢ2"
+ ],
+ "𨩰": [
+ "ㄗㄨ2"
+ ],
+ "𨩲": [
+ "ㄗ1"
+ ],
+ "𨩴": [
+ "ㄔㄨㄢ1"
+ ],
+ "𨩵": [
+ "ㄨㄢ3"
+ ],
+ "𨩶": [
+ "ㄨㄚ1"
+ ],
+ "𨩸": [
+ "ㄑㄩㄢ1",
+ "ㄐㄩㄢ1"
+ ],
+ "𨩻": [
+ "ㄨㄢ3"
+ ],
+ "𨩽": [
+ "ㄒㄧㄚ4"
+ ],
+ "𨪄": [
+ "ㄧㄥ4"
+ ],
+ "𨪅": [
+ "ㄐㄧㄢ4"
+ ],
+ "𨪈": [
+ "ㄨㄟ3"
+ ],
+ "𨪉": [
+ "ㄊㄧ2"
+ ],
+ "𨪊": [
+ "ㄙㄠ1"
+ ],
+ "𨪌": [
+ "ㄑㄧ2"
+ ],
+ "𨪍": [
+ "ㄕㄚ1"
+ ],
+ "𨪎": [
+ "ㄩ4"
+ ],
+ "𨪏": [
+ "ㄐㄧ2"
+ ],
+ "𨪐": [
+ "ㄉㄡ4",
+ "ㄊㄡ1"
+ ],
+ "𨪑": [
+ "ㄔㄢ3"
+ ],
+ "𨪒": [
+ "ㄊㄨㄢ2"
+ ],
+ "𨪕": [
+ "ㄌㄧㄡ2"
+ ],
+ "𨪗": [
+ "ㄓㄨㄟ4"
+ ],
+ "𨪳": [
+ "ㄖㄨㄢ4"
+ ],
+ "𨪶": [
+ "ㄧㄢ4"
+ ],
+ "𨪷": [
+ "ㄍㄨ3"
+ ],
+ "𨪹": [
+ "ㄌㄧ4"
+ ],
+ "𨪺": [
+ "ㄔㄚ1"
+ ],
+ "𨪾": [
+ "ㄉㄧ4"
+ ],
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+ "ㄌㄧㄡ2"
+ ],
+ "𨫀": [
+ "ㄓㄢ3"
+ ],
+ "𨫁": [
+ "ㄆㄛ1"
+ ],
+ "𨫒": [
+ "ㄌㄡ4"
+ ],
+ "𨫔": [
+ "ㄓ4",
+ "ㄒㄧㄝ4"
+ ],
+ "𨬁": [
+ "ㄌㄧㄢ2"
+ ],
+ "𨬅": [
+ "ㄌㄨㄛ3"
+ ],
+ "𨬍": [
+ "ㄉㄨㄛ4",
+ "ㄉㄨㄟ4"
+ ],
+ "𨬐": [
+ "ㄐㄩㄝ2"
+ ],
+ "𨬑": [
+ "ㄌㄧ4"
+ ],
+ "𨬒": [
+ "ㄌㄢ2"
+ ],
+ "𨬔": [
+ "ㄖㄨㄢ4"
+ ],
+ "𨬕": [
+ "ㄍㄨ1"
+ ],
+ "𨬖": [
+ "ㄔㄢ2"
+ ],
+ "𨬗": [
+ "ㄒㄩ1"
+ ],
+ "𨬚": [
+ "ㄓ3"
+ ],
+ "𨭁": [
+ "ㄒㄩㄝ4"
+ ],
+ "𨭂": [
+ "ㄅㄛ1"
+ ],
+ "𨭃": [
+ "ㄔㄥ1"
+ ],
+ "𨭅": [
+ "ㄓㄨ4"
+ ],
+ "𨭆": [
+ "ㄏㄟ1"
+ ],
+ "𨭉": [
+ "ㄅㄢ1"
+ ],
+ "𨭎": [
+ "ㄒㄧ3"
+ ],
+ "𨭓": [
+ "ㄉㄧㄝ2"
+ ],
+ "𨭖": [
+ "ㄓㄢ3"
+ ],
+ "𨭗": [
+ "ㄍㄨㄛ2"
+ ],
+ "𨭚": [
+ "ㄅㄧㄠ1"
+ ],
+ "𨭛": [
+ "ㄌㄚ4",
+ "ㄍㄜ3"
+ ],
+ "𨭺": [
+ "ㄐㄧㄣ1"
+ ],
+ "𨮂": [
+ "ㄍㄞ3"
+ ],
+ "𨮒": [
+ "ㄇㄥ4"
+ ],
+ "𨮔": [
+ "ㄩ4"
+ ],
+ "𨮪": [
+ "ㄒㄧ3"
+ ],
+ "𨮬": [
+ "ㄆㄧㄠ1"
+ ],
+ "𨮭": [
+ "ㄙ1"
+ ],
+ "𨮴": [
+ "ㄉㄥ4"
+ ],
+ "𨮸": [
+ "ㄔㄨㄛ1"
+ ],
+ "𨮹": [
+ "ㄉㄧ2"
+ ],
+ "𨮺": [
+ "ㄐㄧ1"
+ ],
+ "𨮻": [
+ "ㄔㄢ2"
+ ],
+ "𨮿": [
+ "ㄓㄨㄛ2"
+ ],
+ "𨯓": [
+ "ㄘㄞ4"
+ ],
+ "𨯞": [
+ "ㄐㄧㄤ4"
+ ],
+ "𨯲": [
+ "ㄊㄡ2"
+ ],
+ "𨯽": [
+ "ㄌㄧ2"
+ ],
+ "𨰂": [
+ "ㄑㄧㄢ4"
+ ],
+ "𨰆": [
+ "ㄔㄨㄛ1"
+ ],
+ "𨰏": [
+ "ㄊㄚ4"
+ ],
+ "𨰑": [
+ "ㄉㄧㄠ4"
+ ],
+ "𨰓": [
+ "ㄐㄧㄢ3"
+ ],
+ "𨰛": [
+ "ㄓ3"
+ ],
+ "𨰜": [
+ "ㄐㄩㄝ2"
+ ],
+ "𨰞": [
+ "ㄇㄛ2"
+ ],
+ "𨰠": [
+ "ㄌㄨㄛ2"
+ ],
+ "𨰦": [
+ "ㄅㄠ3"
+ ],
+ "𨰭": [
+ "ㄗㄨㄢ3"
+ ],
+ "𨰵": [
+ "ㄓㄜ1"
+ ],
+ "𨰸": [
+ "ㄩ2"
+ ],
+ "𨰻": [
+ "ㄅㄠ3"
+ ],
+ "𨰾": [
+ "ㄇㄚ3"
+ ],
+ "𨰿": [
+ "ㄒㄧ4"
+ ],
+ "𨱀": [
+ "ㄏㄨ4"
+ ],
+ "𨱁": [
+ "ㄧ4"
+ ],
+ "𨱂": [
+ "ㄜ2"
+ ],
+ "𨱃": [
+ "ㄍㄨ1"
+ ],
+ "𨱄": [
+ "ㄊㄨ2"
+ ],
+ "𨱅": [
+ "ㄓㄣ1"
+ ],
+ "𨱇": [
+ "ㄑㄧㄡ2"
+ ],
+ "𨱈": [
+ "ㄙㄨ4"
+ ],
+ "𨱉": [
+ "ㄌㄧㄤ4"
+ ],
+ "𨱊": [
+ "ㄑㄩ1"
+ ],
+ "𨱋": [
+ "ㄌㄧㄥ2"
+ ],
+ "𨱌": [
+ "ㄍㄨㄢ4"
+ ],
+ "𨱍": [
+ "ㄌㄤ2"
+ ],
+ "𨱎": [
+ "ㄊㄡ1"
+ ],
+ "𨱏": [
+ "ㄉㄚ1"
+ ],
+ "𨱐": [
+ "ㄌㄡ4"
+ ],
+ "𨱑": [
+ "ㄏㄨㄤ2"
+ ],
+ "𨱒": [
+ "ㄕㄡ4"
+ ],
+ "𨱓": [
+ "ㄐㄧㄠ1"
+ ],
+ "𨱔": [
+ "ㄗㄨㄣ1"
+ ],
+ "𨱕": [
+ "ㄍㄞ3"
+ ],
+ "𨱖": [
+ "ㄨㄟ2"
+ ],
+ "𨱙": [
+ "ㄎㄨㄣ1"
+ ],
+ "𨱚": [
+ "ㄉㄨㄢ4"
+ ],
+ "𨱛": [
+ "ㄙㄨㄥ1"
+ ],
+ "𨱜": [
+ "ㄑㄧ2"
+ ],
+ "𨱝": [
+ "ㄧㄤ3"
+ ],
+ "𨱡": [
+ "ㄕ4"
+ ],
+ "𨱣": [
+ "ㄍㄞ3"
+ ],
+ "𨱦": [
+ "ㄉㄠ4"
+ ],
+ "𨱧": [
+ "ㄧㄠ3",
+ "ㄠ3"
+ ],
+ "𨱫": [
+ "ㄑㄧㄢ2"
+ ],
+ "𨱭": [
+ "ㄕㄠ1"
+ ],
+ "𨱮": [
+ "ㄔㄤ2"
+ ],
+ "𨱯": [
+ "ㄇㄧㄡ3"
+ ],
+ "𨱱": [
+ "ㄇㄛ2"
+ ],
+ "𨱵": [
+ "ㄋㄠ3"
+ ],
+ "𨱸": [
+ "ㄘㄨㄥ1"
+ ],
+ "𨱺": [
+ "ㄋㄧㄝ4"
+ ],
+ "𨱻": [
+ "ㄓㄠ1"
+ ],
+ "𨱼": [
+ "ㄘㄣ2"
+ ],
+ "𨱿": [
+ "ㄙㄨㄥ1"
+ ],
+ "𨲀": [
+ "ㄋㄧㄝ4"
+ ],
+ "𨲁": [
+ "ㄘ4"
+ ],
+ "𨲄": [
+ "ㄐㄩㄣ4"
+ ],
+ "𨲆": [
+ "ㄕㄠ1"
+ ],
+ "𨲈": [
+ "ㄓㄨ2"
+ ],
+ "𨲉": [
+ "ㄉㄨㄛ3",
+ "ㄊㄨㄛ3",
+ "ㄕㄥ4"
+ ],
+ "𨲊": [
+ "ㄢ4"
+ ],
+ "𨲋": [
+ "ㄅㄧ1"
+ ],
+ "𨲎": [
+ "ㄊㄧ4"
+ ],
+ "𨲐": [
+ "ㄆㄧ3"
+ ],
+ "𨲑": [
+ "ㄒㄧㄚ2"
+ ],
+ "𨲒": [
+ "ㄑㄧㄡ2"
+ ],
+ "𨲓": [
+ "ㄕㄥ3"
+ ],
+ "𨲗": [
+ "ㄊㄤ1"
+ ],
+ "𨲛": [
+ "ㄇㄢ2",
+ "ㄇㄧㄢ2"
+ ],
+ "𨲜": [
+ "ㄆㄧㄢ1"
+ ],
+ "𨲞": [
+ "ㄊㄧ4"
+ ],
+ "𨲟": [
+ "ㄖㄨㄥ2"
+ ],
+ "𨲧": [
+ "ㄘㄨㄥ1"
+ ],
+ "𨲪": [
+ "ㄐㄧ1"
+ ],
+ "𨲫": [
+ "ㄈㄥ2"
+ ],
+ "𨲬": [
+ "ㄨ4"
+ ],
+ "𨲭": [
+ "ㄐㄧㄠ4"
+ ],
+ "𨲮": [
+ "ㄌㄠ2"
+ ],
+ "𨲯": [
+ "ㄗㄥ1"
+ ],
+ "𨲰": [
+ "ㄆㄥ2"
+ ],
+ "𨲱": [
+ "ㄘㄢ3"
+ ],
+ "𨲳": [
+ "ㄋㄨㄥ2"
+ ],
+ "𨲵": [
+ "ㄔㄢ3"
+ ],
+ "𨲾": [
+ "ㄇㄢ2",
+ "ㄇㄧㄢ2"
+ ],
+ "𨲿": [
+ "ㄍㄨㄟ4"
+ ],
+ "𨳀": [
+ "ㄋㄧㄠ4"
+ ],
+ "𨳁": [
+ "ㄔㄨㄥ1"
+ ],
+ "𨳂": [
+ "ㄔㄢ4"
+ ],
+ "𨳆": [
+ "ㄋㄤ4"
+ ],
+ "𨳉": [
+ "ㄒㄧㄚ1"
+ ],
+ "𨳊": [
+ "ㄐㄧㄡ1"
+ ],
+ "𨳋": [
+ "ㄐㄧ3"
+ ],
+ "𨳌": [
+ "ㄓㄣ4"
+ ],
+ "𨳑": [
+ "ㄊㄧㄥ3"
+ ],
+ "𨳔": [
+ "ㄇㄣ2"
+ ],
+ "𨳕": [
+ "ㄩㄝ4"
+ ],
+ "𨳗": [
+ "ㄓㄨㄥ1"
+ ],
+ "𨳘": [
+ "ㄊㄨㄣ2"
+ ],
+ "𨳙": [
+ "ㄖㄨㄟ4"
+ ],
+ "𨳚": [
+ "ㄒㄧㄝ4",
+ "ㄈㄣ1"
+ ],
+ "𨳛": [
+ "ㄒㄧ1"
+ ],
+ "𨳝": [
+ "ㄊㄧㄥ3",
+ "ㄖㄨㄣ4"
+ ],
+ "𨳞": [
+ "ㄋㄧㄡ3"
+ ],
+ "𨳠": [
+ "ㄨㄤ3"
+ ],
+ "𨳡": [
+ "ㄐㄧㄢ1",
+ "ㄍㄨㄢ1"
+ ],
+ "𨳣": [
+ "ㄈㄣ1"
+ ],
+ "𨳲": [
+ "ㄅㄧㄢ4",
+ "ㄅㄧ4"
+ ],
+ "𨳷": [
+ "ㄧ2"
+ ],
+ "𨳺": [
+ "ㄉㄧㄝ2"
+ ],
+ "𨳻": [
+ "ㄐㄧ1"
+ ],
+ "𨳼": [
+ "ㄍㄢ3"
+ ],
+ "𨳿": [
+ "ㄐㄧㄢ1",
+ "ㄒㄧ4",
+ "ㄇㄚ3"
+ ],
+ "𨴀": [
+ "ㄐㄩㄥ1"
+ ],
+ "𨴆": [
+ "ㄎㄞ1"
+ ],
+ "𨴊": [
+ "ㄑㄩㄝ4",
+ "ㄍㄨㄢ1"
+ ],
+ "𨴌": [
+ "ㄋㄢ2"
+ ],
+ "𨴍": [
+ "ㄇㄡ2"
+ ],
+ "𨴎": [
+ "ㄒㄩ4"
+ ],
+ "𨴏": [
+ "ㄙㄨㄥ3"
+ ],
+ "𨴐": [
+ "ㄕㄣ4"
+ ],
+ "𨴑": [
+ "ㄎㄨㄤ1"
+ ],
+ "𨴒": [
+ "ㄑㄩㄝ4"
+ ],
+ "𨴓": [
+ "ㄨㄟ2"
+ ],
+ "𨴗": [
+ "ㄉㄧㄝ2"
+ ],
+ "𨴘": [
+ "ㄋㄢ2"
+ ],
+ "𨴚": [
+ "ㄖㄨㄛ4"
+ ],
+ "𨴛": [
+ "ㄍㄨㄥ1"
+ ],
+ "𨴜": [
+ "ㄉㄡ4",
+ "ㄧㄡ4"
+ ],
+ "𨴞": [
+ "ㄋㄧㄢ3"
+ ],
+ "𨴡": [
+ "ㄔㄠ1"
+ ],
+ "𨴢": [
+ "ㄏㄜ2"
+ ],
+ "𨴣": [
+ "ㄧㄢ4"
+ ],
+ "𨴩": [
+ "ㄊㄨ2"
+ ],
+ "𨴪": [
+ "ㄅㄨ3"
+ ],
+ "𨴬": [
+ "ㄏㄨ2"
+ ],
+ "𨴭": [
+ "ㄩㄥ3"
+ ],
+ "𨴯": [
+ "ㄕ3"
+ ],
+ "𨴰": [
+ "ㄔㄨ4"
+ ],
+ "𨴹": [
+ "ㄒㄧㄠ1"
+ ],
+ "𨴺": [
+ "ㄇㄣ2"
+ ],
+ "𨴻": [
+ "ㄌㄧ3"
+ ],
+ "𨴼": [
+ "ㄊㄧ2"
+ ],
+ "𨴾": [
+ "ㄐㄧㄢ1"
+ ],
+ "𨵂": [
+ "ㄓ3"
+ ],
+ "𨵃": [
+ "ㄍㄨㄚ1",
+ "ㄈㄨ3",
+ "ㄩㄝ4"
+ ],
+ "𨵄": [
+ "ㄍㄨㄢ3"
+ ],
+ "𨵆": [
+ "ㄑㄧ4"
+ ],
+ "𨵈": [
+ "ㄈㄟ1"
+ ],
+ "𨵉": [
+ "ㄩ3"
+ ],
+ "𨵊": [
+ "ㄓㄜ2"
+ ],
+ "𨵋": [
+ "ㄨㄟ3"
+ ],
+ "𨵌": [
+ "ㄜ3"
+ ],
+ "𨵍": [
+ "ㄔㄢ1"
+ ],
+ "𨵎": [
+ "ㄒㄧ1",
+ "ㄑㄧ2"
+ ],
+ "𨵐": [
+ "ㄍㄨ3"
+ ],
+ "𨵗": [
+ "ㄑㄩㄝ4"
+ ],
+ "𨵘": [
+ "ㄏㄨㄟ4"
+ ],
+ "𨵚": [
+ "ㄒㄧㄝ2"
+ ],
+ "𨵛": [
+ "ㄧㄥ1"
+ ],
+ "𨵝": [
+ "ㄊㄚ4"
+ ],
+ "𨵞": [
+ "ㄨㄞ1"
+ ],
+ "𨵟": [
+ "ㄈㄨ2"
+ ],
+ "𨵠": [
+ "ㄐㄧㄝ4"
+ ],
+ "𨵡": [
+ "ㄆㄧ4"
+ ],
+ "𨵥": [
+ "ㄕㄥ3"
+ ],
+ "𨵦": [
+ "ㄩ2"
+ ],
+ "𨵧": [
+ "ㄎㄨㄚ1"
+ ],
+ "𨵩": [
+ "ㄆㄧ4"
+ ],
+ "𨵪": [
+ "ㄒㄧㄝ2"
+ ],
+ "𨵫": [
+ "ㄋㄩㄝ4"
+ ],
+ "𨵬": [
+ "ㄒㄧㄢ4"
+ ],
+ "𨵭": [
+ "ㄐㄧㄢ4"
+ ],
+ "𨵮": [
+ "ㄒㄩ4"
+ ],
+ "𨵰": [
+ "ㄅㄧ4"
+ ],
+ "𨵴": [
+ "ㄋㄢ2"
+ ],
+ "𨵶": [
+ "ㄌㄧㄤ2"
+ ],
+ "𨵸": [
+ "ㄆㄧㄢ2"
+ ],
+ "𨵼": [
+ "ㄐㄧㄥ4"
+ ],
+ "𨶀": [
+ "ㄊㄚ3"
+ ],
+ "𨶁": [
+ "ㄧㄢ4"
+ ],
+ "𨶂": [
+ "ㄞ4"
+ ],
+ "𨶅": [
+ "ㄒㄧㄠ1"
+ ],
+ "𨶆": [
+ "ㄑㄧㄤ1"
+ ],
+ "𨶇": [
+ "ㄨ3"
+ ],
+ "𨶈": [
+ "ㄊㄤ2"
+ ],
+ "𨶊": [
+ "ㄐㄩㄣ4"
+ ],
+ "𨶐": [
+ "ㄎㄨㄛ4"
+ ],
+ "𨶗": [
+ "ㄌㄤ4"
+ ],
+ "𨶙": [
+ "ㄋㄥ3"
+ ],
+ "𨶜": [
+ "ㄉㄡ4",
+ "ㄉㄡ3"
+ ],
+ "𨶝": [
+ "ㄕㄨ2"
+ ],
+ "𨶟": [
+ "ㄐㄧㄠ3"
+ ],
+ "𨶠": [
+ "ㄋㄧㄝ4"
+ ],
+ "𨶢": [
+ "ㄩ2"
+ ],
+ "𨶨": [
+ "ㄘㄜ4"
+ ],
+ "𨶪": [
+ "ㄐㄧㄠ3",
+ "ㄌㄧㄡ2"
+ ],
+ "𨶬": [
+ "ㄏㄨㄚ4"
+ ],
+ "𨶭": [
+ "ㄨㄣ2"
+ ],
+ "𨶮": [
+ "ㄧㄝ1"
+ ],
+ "𨶯": [
+ "ㄜ2"
+ ],
+ "𨶰": [
+ "ㄍㄨㄤ1"
+ ],
+ "𨶱": [
+ "ㄏㄨㄚ1"
+ ],
+ "𨶲": [
+ "ㄐㄧㄠ1"
+ ],
+ "𨶺": [
+ "ㄌㄟ4"
+ ],
+ "𨶼": [
+ "ㄕㄤ1"
+ ],
+ "𨶽": [
+ "ㄩㄥ4"
+ ],
+ "𨶿": [
+ "ㄉㄥ1"
+ ],
+ "𨷀": [
+ "ㄍㄨㄢ1"
+ ],
+ "𨷁": [
+ "ㄋㄧㄡ2"
+ ],
+ "𨷃": [
+ "ㄙㄨㄟ4"
+ ],
+ "𨷄": [
+ "ㄒㄧㄤ4"
+ ],
+ "𨷆": [
+ "ㄙㄚ4"
+ ],
+ "𨷇": [
+ "ㄔㄤ1"
+ ],
+ "𨷎": [
+ "ㄖㄨㄣ4"
+ ],
+ "𨷐": [
+ "ㄩㄣ1"
+ ],
+ "𨷒": [
+ "ㄈㄣ1"
+ ],
+ "𨷓": [
+ "ㄐㄧㄢ4"
+ ],
+ "𨷔": [
+ "ㄒㄩ4"
+ ],
+ "𨷘": [
+ "ㄒㄧ4"
+ ],
+ "𨷙": [
+ "ㄕㄨ2"
+ ],
+ "𨷥": [
+ "ㄒㄧㄝ2"
+ ],
+ "𨷦": [
+ "ㄌㄧ4"
+ ],
+ "𨷩": [
+ "ㄊㄡ2"
+ ],
+ "𨷬": [
+ "ㄇㄧ3"
+ ],
+ "𨷭": [
+ "ㄔㄢ2"
+ ],
+ "𨷮": [
+ "ㄏㄨㄛ1"
+ ],
+ "𨷱": [
+ "ㄓㄨㄢ3"
+ ],
+ "𨷲": [
+ "ㄩㄝ4"
+ ],
+ "𨷻": [
+ "ㄌㄢ2"
+ ],
+ "𨷽": [
+ "ㄧㄢ2"
+ ],
+ "𨷾": [
+ "ㄉㄤ4"
+ ],
+ "𨷿": [
+ "ㄒㄧㄤ4"
+ ],
+ "𨸀": [
+ "ㄩㄝ4"
+ ],
+ "𨸁": [
+ "ㄊㄧㄥ3"
+ ],
+ "𨸂": [
+ "ㄅㄥ1"
+ ],
+ "𨸃": [
+ "ㄙㄢ4"
+ ],
+ "𨸄": [
+ "ㄒㄧㄢ4"
+ ],
+ "𨸅": [
+ "ㄉㄧㄝ2"
+ ],
+ "𨸆": [
+ "ㄆㄧ4"
+ ],
+ "𨸇": [
+ "ㄆㄧㄢ2"
+ ],
+ "𨸉": [
+ "ㄊㄚ3"
+ ],
+ "𨸋": [
+ "ㄐㄧㄠ1"
+ ],
+ "𨸌": [
+ "ㄧㄝ1"
+ ],
+ "𨸎": [
+ "ㄩㄝ4"
+ ],
+ "𨸐": [
+ "ㄖㄥ2"
+ ],
+ "𨸑": [
+ "ㄑㄧㄠ3"
+ ],
+ "𨸒": [
+ "ㄑㄧ2"
+ ],
+ "𨸓": [
+ "ㄉㄧㄠ1"
+ ],
+ "𨸔": [
+ "ㄑㄧ2",
+ "ㄨㄟ2"
+ ],
+ "𨸗": [
+ "ㄏㄢ4"
+ ],
+ "𨸘": [
+ "ㄩㄢ2"
+ ],
+ "𨸙": [
+ "ㄧㄡ2"
+ ],
+ "𨸚": [
+ "ㄐㄧ2"
+ ],
+ "𨸛": [
+ "ㄍㄞ4"
+ ],
+ "𨸜": [
+ "ㄏㄞ1"
+ ],
+ "𨸝": [
+ "ㄕ4"
+ ],
+ "𨸟": [
+ "ㄑㄩ1"
+ ],
+ "𨸩": [
+ "ㄨㄣ4"
+ ],
+ "𨸬": [
+ "ㄓㄣ4"
+ ],
+ "𨸭": [
+ "ㄆㄛ1"
+ ],
+ "𨸮": [
+ "ㄧㄢ2",
+ "ㄩㄣ3"
+ ],
+ "𨸯": [
+ "ㄍㄨ1"
+ ],
+ "𨸰": [
+ "ㄐㄩ2"
+ ],
+ "𨸱": [
+ "ㄊㄧㄢ4",
+ "ㄋㄧㄢ3"
+ ],
+ "𨸷": [
+ "ㄜ4"
+ ],
+ "𨸺": [
+ "ㄧㄚ1"
+ ],
+ "𨸻": [
+ "ㄌㄧㄣ4"
+ ],
+ "𨸼": [
+ "ㄅㄧ4"
+ ],
+ "𨹀": [
+ "ㄗ3"
+ ],
+ "𨹁": [
+ "ㄏㄨㄥ2"
+ ],
+ "𨹃": [
+ "ㄉㄨㄛ3",
+ "ㄉㄨㄛ4"
+ ],
+ "𨹅": [
+ "ㄉㄨㄟ4"
+ ],
+ "𨹆": [
+ "ㄒㄩㄢ4"
+ ],
+ "𨹈": [
+ "ㄕㄢ3",
+ "ㄧㄤ2"
+ ],
+ "𨹊": [
+ "ㄕㄢ3"
+ ],
+ "𨹋": [
+ "ㄧㄠ2"
+ ],
+ "𨹌": [
+ "ㄖㄢ3"
+ ],
+ "𨹔": [
+ "ㄊㄨㄛ2"
+ ],
+ "𨹗": [
+ "ㄅㄧㄥ1"
+ ],
+ "𨹘": [
+ "ㄒㄩ4"
+ ],
+ "𨹙": [
+ "ㄊㄨㄣ1"
+ ],
+ "𨹚": [
+ "ㄔㄥ2"
+ ],
+ "𨹜": [
+ "ㄉㄡ4"
+ ],
+ "𨹝": [
+ "ㄧ4",
+ "ㄧㄚ4"
+ ],
+ "𨹡": [
+ "ㄔㄜ4"
+ ],
+ "𨹵": [
+ "ㄐㄩㄢ3"
+ ],
+ "𨹶": [
+ "ㄐㄧ1"
+ ],
+ "𨹸": [
+ "ㄓㄠ4"
+ ],
+ "𨹹": [
+ "ㄅㄥ1",
+ "ㄅㄥ4"
+ ],
+ "𨹻": [
+ "ㄊㄧㄢ3"
+ ],
+ "𨺀": [
+ "ㄆㄥ1"
+ ],
+ "𨺅": [
+ "ㄈㄨ4"
+ ],
+ "𨺖": [
+ "ㄊㄨㄛ3"
+ ],
+ "𨺘": [
+ "ㄒㄧㄢ2"
+ ],
+ "𨺙": [
+ "ㄋㄧ4"
+ ],
+ "𨺚": [
+ "ㄌㄨㄥ2"
+ ],
+ "𨺝": [
+ "ㄓㄨㄛ2"
+ ],
+ "𨺟": [
+ "ㄓㄥ1"
+ ],
+ "𨺠": [
+ "ㄕㄨㄣ3"
+ ],
+ "𨺡": [
+ "ㄗㄨㄥ1"
+ ],
+ "𨺢": [
+ "ㄈㄥ1"
+ ],
+ "𨺣": [
+ "ㄉㄨㄢ4"
+ ],
+ "𨺤": [
+ "ㄆㄧ4"
+ ],
+ "𨺥": [
+ "ㄧㄢ3"
+ ],
+ "𨺦": [
+ "ㄙㄡ3"
+ ],
+ "𨺧": [
+ "ㄑㄧㄡ2"
+ ],
+ "𨺨": [
+ "ㄜ4"
+ ],
+ "𨺩": [
+ "ㄑㄧㄢ2"
+ ],
+ "𨺫": [
+ "ㄑㄧㄢ3"
+ ],
+ "𨺭": [
+ "ㄘㄚ1"
+ ],
+ "𨺮": [
+ "ㄒㄩㄣ4"
+ ],
+ "𨺵": [
+ "ㄓㄨㄟ4"
+ ],
+ "𨺸": [
+ "ㄇㄠ3"
+ ],
+ "𨺹": [
+ "ㄐㄧㄠ3"
+ ],
+ "𨺿": [
+ "ㄓㄢ3"
+ ],
+ "𨻀": [
+ "ㄆㄧ2",
+ "ㄅㄧ1"
+ ],
+ "𨻁": [
+ "ㄒㄧ1"
+ ],
+ "𨻂": [
+ "ㄧㄢ4"
+ ],
+ "𨻃": [
+ "ㄈㄟ4"
+ ],
+ "𨻄": [
+ "ㄋㄧㄝ4"
+ ],
+ "𨻆": [
+ "ㄓ4"
+ ],
+ "𨻈": [
+ "ㄙㄨㄛ3"
+ ],
+ "𨻊": [
+ "ㄧ4"
+ ],
+ "𨻌": [
+ "ㄌㄟ3"
+ ],
+ "𨻍": [
+ "ㄒㄩ4"
+ ],
+ "𨻏": [
+ "ㄧ4"
+ ],
+ "𨻒": [
+ "ㄨㄟ1"
+ ],
+ "𨻕": [
+ "ㄐㄧ1"
+ ],
+ "𨻖": [
+ "ㄔㄣ1"
+ ],
+ "𨻗": [
+ "ㄉㄧㄝ2"
+ ],
+ "𨻣": [
+ "ㄩㄢ2"
+ ],
+ "𨻥": [
+ "ㄒㄧ2"
+ ],
+ "𨻧": [
+ "ㄌㄧㄡ2"
+ ],
+ "𨻨": [
+ "ㄙㄨㄛ3"
+ ],
+ "𨻱": [
+ "ㄅㄥ1"
+ ],
+ "𨻲": [
+ "ㄒㄧㄚ4"
+ ],
+ "𨻳": [
+ "ㄧㄢ4",
+ "ㄧㄢ1"
+ ],
+ "𨻵": [
+ "ㄘㄨㄟ1",
+ "ㄗㄨㄟ1",
+ "ㄉㄨㄟ4"
+ ],
+ "𨻷": [
+ "ㄎㄤ1"
+ ],
+ "𨻺": [
+ "ㄑㄧㄥ1"
+ ],
+ "𨻻": [
+ "ㄌㄡ2"
+ ],
+ "𨻼": [
+ "ㄅㄧ1"
+ ],
+ "𨼈": [
+ "ㄓㄢ4"
+ ],
+ "𨼉": [
+ "ㄘㄨㄢ4"
+ ],
+ "𨼊": [
+ "ㄨ2"
+ ],
+ "𨼋": [
+ "ㄒㄩ1"
+ ],
+ "𨼌": [
+ "ㄔㄣ1"
+ ],
+ "𨼍": [
+ "ㄏㄠ2"
+ ],
+ "𨼎": [
+ "ㄐㄩㄝ2"
+ ],
+ "𨼐": [
+ "ㄔㄣ4"
+ ],
+ "𨼑": [
+ "ㄔㄚ2"
+ ],
+ "𨼒": [
+ "ㄔㄢ3"
+ ],
+ "𨼓": [
+ "ㄓ2"
+ ],
+ "𨼔": [
+ "ㄒㄩㄣ2"
+ ],
+ "𨼣": [
+ "ㄍㄜ2"
+ ],
+ "𨼤": [
+ "ㄔㄣ2"
+ ],
+ "𨼥": [
+ "ㄧㄝ4",
+ "ㄍㄜ2"
+ ],
+ "𨼪": [
+ "ㄔㄨ3"
+ ],
+ "𨼫": [
+ "ㄑㄩ2"
+ ],
+ "𨼬": [
+ "ㄒㄧㄝ4"
+ ],
+ "𨼮": [
+ "ㄓㄢ4"
+ ],
+ "𨼯": [
+ "ㄎㄣ3"
+ ],
+ "𨼱": [
+ "ㄐㄩㄝ2"
+ ],
+ "𨼽": [
+ "ㄑㄩ2"
+ ],
+ "𨼿": [
+ "ㄇㄥ2"
+ ],
+ "𨽀": [
+ "ㄧㄝ4"
+ ],
+ "𨽁": [
+ "ㄗㄡ1",
+ "ㄘㄨㄥ2"
+ ],
+ "𨽂": [
+ "ㄆㄨ2"
+ ],
+ "𨽄": [
+ "ㄕ4"
+ ],
+ "𨽉": [
+ "ㄕㄨ3"
+ ],
+ "𨽊": [
+ "ㄔㄢ2"
+ ],
+ "𨽍": [
+ "ㄉㄨ2"
+ ],
+ "𨽏": [
+ "ㄍㄨㄛ1"
+ ],
+ "𨽐": [
+ "ㄌㄨ4",
+ "ㄧㄤ2"
+ ],
+ "𨽑": [
+ "ㄧㄢ1"
+ ],
+ "𨽖": [
+ "ㄋㄧㄠ3"
+ ],
+ "𨽗": [
+ "ㄅㄧㄣ1",
+ "ㄆㄧㄣ2"
+ ],
+ "𨽟": [
+ "ㄊㄨㄟ2"
+ ],
+ "𨽦": [
+ "ㄋㄧ4"
+ ],
+ "𨽧": [
+ "ㄏㄨㄢ1"
+ ],
+ "𨽨": [
+ "ㄑㄧㄢ2"
+ ],
+ "𨽯": [
+ "ㄒㄧㄚ4"
+ ],
+ "𨽲": [
+ "ㄌㄧㄥ2"
+ ],
+ "𨽷": [
+ "ㄌㄧㄢ2"
+ ],
+ "𨽹": [
+ "ㄧ4",
+ "ㄌㄧ4"
+ ],
+ "𨽻": [
+ "ㄌㄧ4"
+ ],
+ "𨽼": [
+ "ㄙ4"
+ ],
+ "𨽿": [
+ "ㄉㄞ4"
+ ],
+ "𨾂": [
+ "ㄨㄟ4"
+ ],
+ "𨾅": [
+ "ㄘ4"
+ ],
+ "𨾉": [
+ "ㄐㄧㄡ3"
+ ],
+ "𨾊": [
+ "ㄏㄨㄥ2"
+ ],
+ "𨾌": [
+ "ㄩ2"
+ ],
+ "𨾎": [
+ "ㄎㄨㄟ2"
+ ],
+ "𨾒": [
+ "ㄏㄤ2"
+ ],
+ "𨾓": [
+ "ㄍㄜ1",
+ "ㄧ4"
+ ],
+ "𨾔": [
+ "ㄈㄤ4"
+ ],
+ "𨾗": [
+ "ㄎㄨㄟ2",
+ "ㄒㄧㄝ2"
+ ],
+ "𨾚": [
+ "ㄍㄨㄟ1",
+ "ㄈㄨ1"
+ ],
+ "𨾛": [
+ "ㄔ3",
+ "ㄑㄧ2"
+ ],
+ "𨾞": [
+ "ㄐㄧㄡ3"
+ ],
+ "𨾡": [
+ "ㄙㄨㄟ1",
+ "ㄏㄨㄤ3"
+ ],
+ "𨾤": [
+ "ㄉㄧㄝ2"
+ ],
+ "𨾬": [
+ "ㄙㄨㄟ3"
+ ],
+ "𨾰": [
+ "ㄑㄧㄣ2"
+ ],
+ "𨾴": [
+ "ㄍㄨㄟ1"
+ ],
+ "𨾻": [
+ "ㄓㄨㄟ1"
+ ],
+ "𨾾": [
+ "ㄊㄧㄠ4"
+ ],
+ "𨿁": [
+ "ㄩㄝ4"
+ ],
+ "𨿇": [
+ "ㄗㄨㄟ3"
+ ],
+ "𨿏": [
+ "ㄨ2"
+ ],
+ "𨿐": [
+ "ㄘㄨㄟ3"
+ ],
+ "𨿛": [
+ "ㄓ4",
+ "ㄒㄧ1"
+ ],
+ "𨿠": [
+ "ㄕㄨㄟ4"
+ ],
+ "𨿢": [
+ "ㄉㄨㄥ1"
+ ],
+ "𨿭": [
+ "ㄨㄟ2"
+ ],
+ "𨿿": [
+ "ㄔㄨㄥ3"
+ ],
+ "𩀋": [
+ "ㄖㄨㄣ2"
+ ],
+ "𩀖": [
+ "ㄐㄧ2"
+ ],
+ "𩀜": [
+ "ㄉㄧㄠ1"
+ ],
+ "𩀞": [
+ "ㄘㄤ1"
+ ],
+ "𩀠": [
+ "ㄎㄡ4",
+ "ㄍㄨ3"
+ ],
+ "𩀣": [
+ "ㄨㄟ2"
+ ],
+ "𩀧": [
+ "ㄘㄢ2"
+ ],
+ "𩀪": [
+ "ㄇㄚ2"
+ ],
+ "𩀫": [
+ "ㄡ4"
+ ],
+ "𩀲": [
+ "ㄙㄢ3"
+ ],
+ "𩀶": [
+ "ㄨㄟ2",
+ "ㄏㄨㄟ1",
+ "ㄇㄧ2"
+ ],
+ "𩀼": [
+ "ㄙㄢ3"
+ ],
+ "𩀿": [
+ "ㄐㄧㄣ1"
+ ],
+ "𩁌": [
+ "ㄨㄟ2"
+ ],
+ "𩁞": [
+ "ㄘㄞ4"
+ ],
+ "𩁟": [
+ "ㄌㄧ2"
+ ],
+ "𩁯": [
+ "ㄩㄝ4"
+ ],
+ "𩁴": [
+ "ㄩㄣ1"
+ ],
+ "𩁷": [
+ "ㄔㄥ1"
+ ],
+ "𩁺": [
+ "ㄕㄢ1"
+ ],
+ "𩂂": [
+ "ㄏㄨ1"
+ ],
+ "𩂃": [
+ "ㄕㄞ4"
+ ],
+ "𩂄": [
+ "ㄊㄨㄣ2"
+ ],
+ "𩂆": [
+ "ㄈㄡ3",
+ "ㄈㄨ4"
+ ],
+ "𩂈": [
+ "ㄑㄧㄣ4"
+ ],
+ "𩂉": [
+ "ㄒㄩ1",
+ "ㄔㄣ1"
+ ],
+ "𩂍": [
+ "ㄔㄨㄢ1"
+ ],
+ "𩂎": [
+ "ㄈㄨ4"
+ ],
+ "𩂒": [
+ "ㄧ4",
+ "ㄞ4"
+ ],
+ "𩂓": [
+ "ㄉㄨㄥ1"
+ ],
+ "𩂔": [
+ "ㄈㄨ2"
+ ],
+ "𩂕": [
+ "ㄈㄨ2"
+ ],
+ "𩂖": [
+ "ㄗㄜ2"
+ ],
+ "𩂗": [
+ "ㄆㄨ4"
+ ],
+ "𩂙": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩂝": [
+ "ㄕㄞ4",
+ "ㄧㄥ1"
+ ],
+ "𩂞": [
+ "ㄆㄠ4"
+ ],
+ "𩂢": [
+ "ㄧㄣ2",
+ "ㄞ2"
+ ],
+ "𩂣": [
+ "ㄌㄨㄛ4"
+ ],
+ "𩂤": [
+ "ㄏㄨㄚ4"
+ ],
+ "𩂥": [
+ "ㄧㄣ4"
+ ],
+ "𩂦": [
+ "ㄅㄥ4"
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+ "𩂧": [
+ "ㄩ1"
+ ],
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+ "ㄕㄜ4"
+ ],
+ "𩂪": [
+ "ㄒㄧㄝ4"
+ ],
+ "𩂫": [
+ "ㄔㄨ3"
+ ],
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+ "ㄕㄜ4"
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+ "ㄉㄧㄢ4"
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+ "ㄧ4"
+ ],
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+ "ㄔㄜ4"
+ ],
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+ "ㄍㄥ3"
+ ],
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+ "ㄌㄨㄥ2"
+ ],
+ "𩂾": [
+ "ㄆㄧㄥ2"
+ ],
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+ "ㄩㄣ3"
+ ],
+ "𩃀": [
+ "ㄧㄢ4"
+ ],
+ "𩃁": [
+ "ㄇㄛ4"
+ ],
+ "𩃃": [
+ "ㄙㄨㄟ1"
+ ],
+ "𩃋": [
+ "ㄐㄧㄥ4"
+ ],
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+ "ㄙㄨㄥ4"
+ ],
+ "𩃎": [
+ "ㄆㄤ2"
+ ],
+ "𩃐": [
+ "ㄧㄚ2"
+ ],
+ "𩃑": [
+ "ㄙㄜ4"
+ ],
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+ "ㄉㄨㄛ3"
+ ],
+ "𩃕": [
+ "ㄔㄨㄤ2"
+ ],
+ "𩃖": [
+ "ㄒㄧㄝ4"
+ ],
+ "𩃘": [
+ "ㄊㄨㄢ2"
+ ],
+ "𩃙": [
+ "ㄍㄨㄥ1"
+ ],
+ "𩃚": [
+ "ㄒㄩㄢ4"
+ ],
+ "𩃜": [
+ "ㄌㄚ1"
+ ],
+ "𩃞": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩃠": [
+ "ㄉㄞ4"
+ ],
+ "𩃡": [
+ "ㄓㄚ2"
+ ],
+ "𩃬": [
+ "ㄧㄣ1"
+ ],
+ "𩃭": [
+ "ㄙㄨㄥ1"
+ ],
+ "𩃯": [
+ "ㄩ3"
+ ],
+ "𩃰": [
+ "ㄊㄨㄛ2"
+ ],
+ "𩃱": [
+ "ㄊㄨㄛ2"
+ ],
+ "𩃴": [
+ "ㄅㄚ4"
+ ],
+ "𩃵": [
+ "ㄖㄢ3"
+ ],
+ "𩃶": [
+ "ㄅㄛ2"
+ ],
+ "𩃷": [
+ "ㄉㄞ4"
+ ],
+ "𩃹": [
+ "ㄓㄚ2",
+ "ㄓㄚ3"
+ ],
+ "𩃺": [
+ "ㄏㄡ2"
+ ],
+ "𩃾": [
+ "ㄏㄨㄟ3"
+ ],
+ "𩄅": [
+ "ㄌㄨ2"
+ ],
+ "𩄊": [
+ "ㄌㄧㄥ4"
+ ],
+ "𩄋": [
+ "ㄖㄨ2"
+ ],
+ "𩄕": [
+ "ㄉㄢ4"
+ ],
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+ "ㄇㄥ2"
+ ],
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+ "ㄒㄧㄚ4"
+ ],
+ "𩄘": [
+ "ㄨㄥ3"
+ ],
+ "𩄙": [
+ "ㄏㄢ2"
+ ],
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+ "ㄗ1"
+ ],
+ "𩄛": [
+ "ㄓㄣ4"
+ ],
+ "𩄜": [
+ "ㄙㄜ4"
+ ],
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+ "ㄘㄨㄛ2"
+ ],
+ "𩄞": [
+ "ㄌㄧ4"
+ ],
+ "𩄠": [
+ "ㄉㄧㄢ1"
+ ],
+ "𩄡": [
+ "ㄌㄧㄢ2"
+ ],
+ "𩄢": [
+ "ㄍㄡ4"
+ ],
+ "𩄦": [
+ "ㄆㄥ2"
+ ],
+ "𩄪": [
+ "ㄧㄥ1"
+ ],
+ "𩄬": [
+ "ㄏㄡ4"
+ ],
+ "𩄮": [
+ "ㄉㄨㄟ4"
+ ],
+ "𩄯": [
+ "ㄨ4"
+ ],
+ "𩄷": [
+ "ㄆㄧㄠ4"
+ ],
+ "𩄸": [
+ "ㄏㄜ4"
+ ],
+ "𩄺": [
+ "ㄌㄨㄥ2"
+ ],
+ "𩄻": [
+ "ㄇㄛ4"
+ ],
+ "𩄼": [
+ "ㄈㄟ3"
+ ],
+ "𩄽": [
+ "ㄌㄩ3"
+ ],
+ "𩄾": [
+ "ㄗㄜ2"
+ ],
+ "𩄿": [
+ "ㄅㄛ2"
+ ],
+ "𩅀": [
+ "ㄉㄧㄢ4",
+ "ㄓ2"
+ ],
+ "𩅁": [
+ "ㄇㄤ3"
+ ],
+ "𩅃": [
+ "ㄓㄨㄤ4",
+ "ㄔㄨㄥ2"
+ ],
+ "𩅄": [
+ "ㄌㄨ4"
+ ],
+ "𩅅": [
+ "ㄆㄤ1"
+ ],
+ "𩅆": [
+ "ㄉㄨㄟ4"
+ ],
+ "𩅇": [
+ "ㄅㄨ4"
+ ],
+ "𩅌": [
+ "ㄔㄣ1"
+ ],
+ "𩅍": [
+ "ㄇㄢ4"
+ ],
+ "𩅖": [
+ "ㄒㄧ1"
+ ],
+ "𩅝": [
+ "ㄢ3"
+ ],
+ "𩅞": [
+ "ㄓㄨㄥ1",
+ "ㄔㄨㄥ4"
+ ],
+ "𩅠": [
+ "ㄋㄢ4"
+ ],
+ "𩅡": [
+ "ㄊㄨㄛ4"
+ ],
+ "𩅢": [
+ "ㄏㄜ2"
+ ],
+ "𩅥": [
+ "ㄉㄨㄟ4"
+ ],
+ "𩅦": [
+ "ㄨㄢ1",
+ "ㄉㄢ1"
+ ],
+ "𩅧": [
+ "ㄓㄨㄥ1"
+ ],
+ "𩅨": [
+ "ㄘㄣ2",
+ "ㄕㄣ4"
+ ],
+ "𩅩": [
+ "ㄌㄧ4"
+ ],
+ "𩅪": [
+ "ㄕㄨㄤ1"
+ ],
+ "𩅮": [
+ "ㄘㄣ2"
+ ],
+ "𩅰": [
+ "ㄙ1"
+ ],
+ "𩅲": [
+ "ㄉㄨㄟ4"
+ ],
+ "𩅴": [
+ "ㄏㄨㄣ1"
+ ],
+ "𩅼": [
+ "ㄐㄧㄢ1",
+ "ㄐㄧㄢ4"
+ ],
+ "𩅽": [
+ "ㄋㄨㄥ2"
+ ],
+ "𩅾": [
+ "ㄉㄢ4"
+ ],
+ "𩅿": [
+ "ㄈㄨ4"
+ ],
+ "𩆀": [
+ "ㄏㄨㄛ4"
+ ],
+ "𩆁": [
+ "ㄏㄨㄟ4",
+ "ㄨㄟ4"
+ ],
+ "𩆂": [
+ "ㄘ2"
+ ],
+ "𩆄": [
+ "ㄩㄥ3"
+ ],
+ "𩆅": [
+ "ㄙㄚ4"
+ ],
+ "𩆆": [
+ "ㄊㄧㄥ2"
+ ],
+ "𩆎": [
+ "ㄌㄧㄡ4"
+ ],
+ "𩆑": [
+ "ㄙㄨㄢ1"
+ ],
+ "𩆒": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩆓": [
+ "ㄇㄢ2",
+ "ㄇㄢ4"
+ ],
+ "𩆔": [
+ "ㄉㄧㄢ4"
+ ],
+ "𩆘": [
+ "ㄆㄠ1"
+ ],
+ "𩆚": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩆝": [
+ "ㄌㄧ4"
+ ],
+ "𩆟": [
+ "ㄋㄡ2"
+ ],
+ "𩆣": [
+ "ㄌㄧㄝ4"
+ ],
+ "𩆤": [
+ "ㄕㄢ3"
+ ],
+ "𩆦": [
+ "ㄈㄟ4"
+ ],
+ "𩆫": [
+ "ㄕㄢ3"
+ ],
+ "𩆮": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩆯": [
+ "ㄓㄢ4",
+ "ㄐㄧㄢ1"
+ ],
+ "𩆱": [
+ "ㄅㄧㄣ1"
+ ],
+ "𩆲": [
+ "ㄌㄧ2"
+ ],
+ "𩆵": [
+ "ㄙ1",
+ "ㄒㄧㄢ4"
+ ],
+ "𩆶": [
+ "ㄖㄤ2"
+ ],
+ "𩆷": [
+ "ㄐㄧㄢ1"
+ ],
+ "𩆸": [
+ "ㄓㄨㄛ2"
+ ],
+ "𩆻": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩆼": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩆽": [
+ "ㄇㄥ4"
+ ],
+ "𩆿": [
+ "ㄕㄨㄤ1"
+ ],
+ "𩇄": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩇇": [
+ "ㄏㄨㄣ4"
+ ],
+ "𩇎": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩇏": [
+ "ㄐㄧㄢ1"
+ ],
+ "𩇐": [
+ "ㄑㄩ2"
+ ],
+ "𩇔": [
+ "ㄋㄨㄥ2"
+ ],
+ "𩇕": [
+ "ㄐㄧㄥ4"
+ ],
+ "𩇖": [
+ "ㄔㄣ1"
+ ],
+ "𩇜": [
+ "ㄓㄣ1",
+ "ㄔㄥ4",
+ "ㄔㄥ1"
+ ],
+ "𩇝": [
+ "ㄑㄧㄥ4"
+ ],
+ "𩇟": [
+ "ㄑㄧㄥ4"
+ ],
+ "𩇠": [
+ "ㄜ4",
+ "ㄧㄢ3"
+ ],
+ "𩇣": [
+ "ㄙㄜ4"
+ ],
+ "𩇩": [
+ "ㄅㄟ4"
+ ],
+ "𩇫": [
+ "ㄈㄟ1"
+ ],
+ "𩇮": [
+ "ㄈㄟ4"
+ ],
+ "𩇯": [
+ "ㄈㄟ2"
+ ],
+ "𩇴": [
+ "ㄈㄤ1"
+ ],
+ "𩇵": [
+ "ㄎㄨ3"
+ ],
+ "𩇺": [
+ "ㄗㄚ2"
+ ],
+ "𩇻": [
+ "ㄏㄨㄟ4"
+ ],
+ "𩇽": [
+ "ㄈㄟ2"
+ ],
+ "𩈁": [
+ "ㄉㄨㄟ4"
+ ],
+ "𩈆": [
+ "ㄆㄚ1"
+ ],
+ "𩈇": [
+ "ㄋㄧㄡ3"
+ ],
+ "𩈈": [
+ "ㄆㄤ4"
+ ],
+ "𩈉": [
+ "ㄉㄢ4"
+ ],
+ "𩈊": [
+ "ㄉㄢ1",
+ "ㄉㄢ4"
+ ],
+ "𩈋": [
+ "ㄞ4"
+ ],
+ "𩈍": [
+ "ㄊㄧㄢ3"
+ ],
+ "𩈎": [
+ "ㄔㄠ3"
+ ],
+ "𩈏": [
+ "ㄠ3",
+ "ㄧㄡ3"
+ ],
+ "𩈐": [
+ "ㄇㄟ4"
+ ],
+ "𩈑": [
+ "ㄋㄢ3"
+ ],
+ "𩈔": [
+ "ㄅㄛ4"
+ ],
+ "𩈕": [
+ "ㄩ4",
+ "ㄔ4"
+ ],
+ "𩈖": [
+ "ㄒㄧㄢ1",
+ "ㄏㄢ1"
+ ],
+ "𩈗": [
+ "ㄇㄞ4"
+ ],
+ "𩈚": [
+ "ㄆㄧㄥ1"
+ ],
+ "𩈜": [
+ "ㄉㄨㄟ1"
+ ],
+ "𩈞": [
+ "ㄉㄠ4"
+ ],
+ "𩈡": [
+ "ㄒㄧㄥ4"
+ ],
+ "𩈢": [
+ "ㄋㄧ4",
+ "ㄋㄩ4"
+ ],
+ "𩈣": [
+ "ㄏㄢ1"
+ ],
+ "𩈤": [
+ "ㄔㄨ4"
+ ],
+ "𩈥": [
+ "ㄕㄨㄚ3"
+ ],
+ "𩈦": [
+ "ㄇㄢ3"
+ ],
+ "𩈬": [
+ "ㄨㄢ4"
+ ],
+ "𩈭": [
+ "ㄧ4"
+ ],
+ "𩈮": [
+ "ㄉㄧㄠ4"
+ ],
+ "𩈯": [
+ "ㄧㄢ1"
+ ],
+ "𩈱": [
+ "ㄨㄛ4"
+ ],
+ "𩈲": [
+ "ㄙㄨㄢ4"
+ ],
+ "𩈴": [
+ "ㄢ3"
+ ],
+ "𩈵": [
+ "ㄌㄢ2"
+ ],
+ "𩈶": [
+ "ㄋㄢ3"
+ ],
+ "𩈸": [
+ "ㄑㄧㄡ3"
+ ],
+ "𩈹": [
+ "ㄇㄧㄢ4"
+ ],
+ "𩈺": [
+ "ㄋㄨㄛ3"
+ ],
+ "𩈻": [
+ "ㄘㄢ2"
+ ],
+ "𩈼": [
+ "ㄘㄢ3"
+ ],
+ "𩉀": [
+ "ㄌㄢ4"
+ ],
+ "𩉁": [
+ "ㄊㄧㄢ3"
+ ],
+ "𩉂": [
+ "ㄧㄝ4"
+ ],
+ "𩉄": [
+ "ㄋㄧㄢ3"
+ ],
+ "𩉆": [
+ "ㄕㄨㄚ3"
+ ],
+ "𩉋": [
+ "ㄘ2"
+ ],
+ "𩉍": [
+ "ㄐㄧㄢ3"
+ ],
+ "𩉐": [
+ "ㄍㄢ4"
+ ],
+ "𩉔": [
+ "ㄐㄧㄢ4"
+ ],
+ "𩉕": [
+ "ㄍㄨㄛ2"
+ ],
+ "𩉗": [
+ "ㄓㄢ1"
+ ],
+ "𩉙": [
+ "ㄌㄨㄛ3"
+ ],
+ "𩉜": [
+ "ㄐㄧ1",
+ "ㄏㄤ4"
+ ],
+ "𩉝": [
+ "ㄍㄨㄟ4"
+ ],
+ "𩉡": [
+ "ㄐㄧㄚ2"
+ ],
+ "𩉢": [
+ "ㄐㄧ3"
+ ],
+ "𩉥": [
+ "ㄒㄩㄢ4"
+ ],
+ "𩉧": [
+ "ㄈㄥ1"
+ ],
+ "𩉫": [
+ "ㄅㄧ4"
+ ],
+ "𩉬": [
+ "ㄑㄧ2",
+ "ㄔ2"
+ ],
+ "𩉯": [
+ "ㄩㄢ2"
+ ],
+ "𩉰": [
+ "ㄤ4"
+ ],
+ "𩉱": [
+ "ㄉㄧ1"
+ ],
+ "𩉴": [
+ "ㄜ4"
+ ],
+ "𩉵": [
+ "ㄈㄣ2"
+ ],
+ "𩉸": [
+ "ㄐㄩ4"
+ ],
+ "𩉹": [
+ "ㄋㄧ3"
+ ],
+ "𩉺": [
+ "ㄊㄨㄛ2"
+ ],
+ "𩉼": [
+ "ㄕㄣ1"
+ ],
+ "𩉽": [
+ "ㄈㄨ2"
+ ],
+ "𩉾": [
+ "ㄒㄧㄚ2"
+ ],
+ "𩉿": [
+ "ㄑㄩ2"
+ ],
+ "𩊀": [
+ "ㄆㄛ4"
+ ],
+ "𩊁": [
+ "ㄨㄢ3"
+ ],
+ "𩊂": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩊃": [
+ "ㄇㄚ4"
+ ],
+ "𩊄": [
+ "ㄓㄡ4"
+ ],
+ "𩊅": [
+ "ㄅㄠ4"
+ ],
+ "𩊇": [
+ "ㄩ4"
+ ],
+ "𩊌": [
+ "ㄅㄥ3"
+ ],
+ "𩊍": [
+ "ㄇㄞ4"
+ ],
+ "𩊏": [
+ "ㄐㄧㄚ1"
+ ],
+ "𩊑": [
+ "ㄧㄤ3"
+ ],
+ "𩊓": [
+ "ㄎㄨㄚ3",
+ "ㄎㄨ4"
+ ],
+ "𩊔": [
+ "ㄐㄧㄠ4"
+ ],
+ "𩊖": [
+ "ㄅㄧㄥ3"
+ ],
+ "𩊚": [
+ "ㄌㄨㄛ4"
+ ],
+ "𩊛": [
+ "ㄍㄨㄟ3"
+ ],
+ "𩊜": [
+ "ㄉㄨㄛ4"
+ ],
+ "𩊝": [
+ "ㄓ4"
+ ],
+ "𩊡": [
+ "ㄓㄣ4"
+ ],
+ "𩊢": [
+ "ㄜ4"
+ ],
+ "𩊣": [
+ "ㄓㄨ1"
+ ],
+ "𩊤": [
+ "ㄅㄚ2"
+ ],
+ "𩊨": [
+ "ㄓㄣ4"
+ ],
+ "𩊩": [
+ "ㄈㄥ1",
+ "ㄈㄥ2"
+ ],
+ "𩊪": [
+ "ㄉㄡ4"
+ ],
+ "𩊫": [
+ "ㄋㄧㄢ3"
+ ],
+ "𩊬": [
+ "ㄅㄨ4"
+ ],
+ "𩊭": [
+ "ㄉㄨㄟ4"
+ ],
+ "𩊮": [
+ "ㄕㄚ1",
+ "ㄙㄨㄛ1"
+ ],
+ "𩊯": [
+ "ㄙㄜ4"
+ ],
+ "𩊰": [
+ "ㄅㄧ4"
+ ],
+ "𩊴": [
+ "ㄓ4"
+ ],
+ "𩊵": [
+ "ㄓㄜ2"
+ ],
+ "𩊶": [
+ "ㄅㄨ4"
+ ],
+ "𩊺": [
+ "ㄐㄩㄝ2"
+ ],
+ "𩊻": [
+ "ㄒㄩㄣ4"
+ ],
+ "𩊿": [
+ "ㄒㄧ4"
+ ],
+ "𩋁": [
+ "ㄓㄨㄛ2"
+ ],
+ "𩋂": [
+ "ㄅㄞ4"
+ ],
+ "𩋃": [
+ "ㄧㄠ2",
+ "ㄊㄠ2"
+ ],
+ "𩋄": [
+ "ㄔㄡ3"
+ ],
+ "𩋅": [
+ "ㄊㄚ4"
+ ],
+ "𩋆": [
+ "ㄑㄧㄢ1"
+ ],
+ "𩋈": [
+ "ㄋㄠ4"
+ ],
+ "𩋉": [
+ "ㄩ4"
+ ],
+ "𩋊": [
+ "ㄜ4"
+ ],
+ "𩋋": [
+ "ㄐㄧㄢ1"
+ ],
+ "𩋌": [
+ "ㄧ4"
+ ],
+ "𩋍": [
+ "ㄒㄧㄠ1"
+ ],
+ "𩋏": [
+ "ㄋㄧㄝ4"
+ ],
+ "𩋒": [
+ "ㄅㄧㄥ1"
+ ],
+ "𩋗": [
+ "ㄍㄨㄛ3"
+ ],
+ "𩋘": [
+ "ㄒㄧㄝ2"
+ ],
+ "𩋙": [
+ "ㄉㄧㄠ4"
+ ],
+ "𩋜": [
+ "ㄐㄩ1"
+ ],
+ "𩋝": [
+ "ㄙㄨㄛ3"
+ ],
+ "𩋞": [
+ "ㄉㄧㄝ2"
+ ],
+ "𩋟": [
+ "ㄈㄨ2",
+ "ㄈㄨ4"
+ ],
+ "𩋠": [
+ "ㄇㄧㄢ3"
+ ],
+ "𩋡": [
+ "ㄕ4"
+ ],
+ "𩋢": [
+ "ㄒㄩㄢ4",
+ "ㄩㄣ4"
+ ],
+ "𩋣": [
+ "ㄊㄧ2"
+ ],
+ "𩋤": [
+ "ㄩ4"
+ ],
+ "𩋧": [
+ "ㄒㄧㄝ2",
+ "ㄎㄞ4"
+ ],
+ "𩋨": [
+ "ㄈㄨ2"
+ ],
+ "𩋩": [
+ "ㄓ4"
+ ],
+ "𩋪": [
+ "ㄋㄧ3"
+ ],
+ "𩋫": [
+ "ㄒㄩㄢ4"
+ ],
+ "𩋬": [
+ "ㄧㄤ2"
+ ],
+ "𩋮": [
+ "ㄈㄥ3",
+ "ㄅㄤ1"
+ ],
+ "𩋯": [
+ "ㄗㄨㄥ4"
+ ],
+ "𩋰": [
+ "ㄓㄡ4"
+ ],
+ "𩋱": [
+ "ㄒㄩㄢ1"
+ ],
+ "𩋵": [
+ "ㄓㄨ1"
+ ],
+ "𩋷": [
+ "ㄌㄚ5"
+ ],
+ "𩋹": [
+ "ㄧㄥ4"
+ ],
+ "𩋺": [
+ "ㄍㄠ4"
+ ],
+ "𩋻": [
+ "ㄎㄨㄛ4"
+ ],
+ "𩋽": [
+ "ㄜ2"
+ ],
+ "𩋾": [
+ "ㄨㄟ2",
+ "ㄨㄟ3",
+ "ㄒㄩㄝ1"
+ ],
+ "𩋿": [
+ "ㄇㄟ2"
+ ],
+ "𩌃": [
+ "ㄏㄨㄞ2",
+ "ㄍㄨㄟ4"
+ ],
+ "𩌄": [
+ "ㄔㄡ3",
+ "ㄓㄡ1"
+ ],
+ "𩌆": [
+ "ㄙㄨㄛ3"
+ ],
+ "𩌇": [
+ "ㄊㄚ4"
+ ],
+ "𩌈": [
+ "ㄙㄨㄛ3"
+ ],
+ "𩌉": [
+ "ㄊㄚ4"
+ ],
+ "𩌊": [
+ "ㄒㄩㄝ4"
+ ],
+ "𩌌": [
+ "ㄍㄨㄥ3"
+ ],
+ "𩌍": [
+ "ㄐㄧㄚ3"
+ ],
+ "𩌏": [
+ "ㄅㄛ2",
+ "ㄈㄨ2",
+ "ㄅㄨ4",
+ "ㄈㄨ4"
+ ],
+ "𩌐": [
+ "ㄊㄚ4"
+ ],
+ "𩌑": [
+ "ㄩㄢ3"
+ ],
+ "𩌘": [
+ "ㄊㄚ4"
+ ],
+ "𩌝": [
+ "ㄔㄨㄟ2"
+ ],
+ "𩌠": [
+ "ㄒㄩㄥ1"
+ ],
+ "𩌡": [
+ "ㄏㄜ2",
+ "ㄐㄩㄝ1"
+ ],
+ "𩌢": [
+ "ㄙㄨㄛ1"
+ ],
+ "𩌧": [
+ "ㄇㄛ4"
+ ],
+ "𩌨": [
+ "ㄔㄨㄥ2"
+ ],
+ "𩌩": [
+ "ㄙㄨㄟ1"
+ ],
+ "𩌪": [
+ "ㄗㄜ2"
+ ],
+ "𩌫": [
+ "ㄌㄨ4"
+ ],
+ "𩌬": [
+ "ㄓㄤ1"
+ ],
+ "𩌭": [
+ "ㄌㄨㄛ4"
+ ],
+ "𩌮": [
+ "ㄒㄩ4"
+ ],
+ "𩌯": [
+ "ㄐㄧㄢ1"
+ ],
+ "𩌰": [
+ "ㄕㄢ1"
+ ],
+ "𩌲": [
+ "ㄒㄩ4"
+ ],
+ "𩌾": [
+ "ㄐㄧㄤ3"
+ ],
+ "𩍂": [
+ "ㄅㄠ4"
+ ],
+ "𩍃": [
+ "ㄇㄞ2"
+ ],
+ "𩍅": [
+ "ㄊㄨㄥ2"
+ ],
+ "𩍆": [
+ "ㄒㄧ4"
+ ],
+ "𩍉": [
+ "ㄖㄨㄥ2"
+ ],
+ "𩍋": [
+ "ㄕㄥ2"
+ ],
+ "𩍌": [
+ "ㄓㄡ4"
+ ],
+ "𩍎": [
+ "ㄐㄧㄢ1"
+ ],
+ "𩍏": [
+ "ㄈㄨ4"
+ ],
+ "𩍐": [
+ "ㄉㄥ4"
+ ],
+ "𩍓": [
+ "ㄩㄥ1"
+ ],
+ "𩍔": [
+ "ㄐㄩ1",
+ "ㄑㄩ1"
+ ],
+ "𩍖": [
+ "ㄧ4"
+ ],
+ "𩍗": [
+ "ㄅㄤ1"
+ ],
+ "𩍙": [
+ "ㄙㄜ4"
+ ],
+ "𩍚": [
+ "ㄙㄨㄟ4"
+ ],
+ "𩍜": [
+ "ㄉㄨㄛ2"
+ ],
+ "𩍝": [
+ "ㄒㄧㄝ4"
+ ],
+ "𩍡": [
+ "ㄏㄨㄢ2"
+ ],
+ "𩍥": [
+ "ㄖㄨ3"
+ ],
+ "𩍦": [
+ "ㄋㄧ3"
+ ],
+ "𩍧": [
+ "ㄓㄡ4"
+ ],
+ "𩍨": [
+ "ㄍㄨㄟ4"
+ ],
+ "𩍪": [
+ "ㄌㄨㄛ4"
+ ],
+ "𩍲": [
+ "ㄓ1",
+ "ㄔㄢ4"
+ ],
+ "𩍳": [
+ "ㄒㄩ4"
+ ],
+ "𩍵": [
+ "ㄓ1"
+ ],
+ "𩍷": [
+ "ㄐㄩㄝ2"
+ ],
+ "𩍸": [
+ "ㄐㄩ1"
+ ],
+ "𩍻": [
+ "ㄩㄢ2"
+ ],
+ "𩍼": [
+ "ㄌㄨ2"
+ ],
+ "𩍿": [
+ "ㄅㄛ2",
+ "ㄈㄨ4"
+ ],
+ "𩎂": [
+ "ㄖㄨㄥ2"
+ ],
+ "𩎃": [
+ "ㄒㄧㄝ4"
+ ],
+ "𩎉": [
+ "ㄒㄧ3"
+ ],
+ "𩎊": [
+ "ㄌㄨㄛ2"
+ ],
+ "𩎎": [
+ "ㄍㄜ2"
+ ],
+ "𩎑": [
+ "ㄗㄨㄢ1"
+ ],
+ "𩎒": [
+ "ㄏㄢ4",
+ "ㄐㄧㄢ1"
+ ],
+ "𩎔": [
+ "ㄐㄧㄠ1"
+ ],
+ "𩎕": [
+ "ㄙㄚ3"
+ ],
+ "𩎖": [
+ "ㄑㄧㄣ2",
+ "ㄑㄧㄢ2"
+ ],
+ "𩎗": [
+ "ㄑㄩㄣ1"
+ ],
+ "𩎘": [
+ "ㄆㄠ2"
+ ],
+ "𩎙": [
+ "ㄩㄝ4"
+ ],
+ "𩎚": [
+ "ㄔㄜ4"
+ ],
+ "𩎛": [
+ "ㄈㄨ2"
+ ],
+ "𩎜": [
+ "ㄆㄟ1"
+ ],
+ "𩎟": [
+ "ㄇㄟ4",
+ "ㄇㄛ4",
+ "ㄨㄚ4"
+ ],
+ "𩎢": [
+ "ㄊㄠ1"
+ ],
+ "𩎤": [
+ "ㄎㄣ1"
+ ],
+ "𩎥": [
+ "ㄒㄧ4"
+ ],
+ "𩎫": [
+ "ㄉㄨㄛ4"
+ ],
+ "𩎭": [
+ "ㄧ4"
+ ],
+ "𩎰": [
+ "ㄙㄨㄟ4"
+ ],
+ "𩎲": [
+ "ㄒㄧㄚ2"
+ ],
+ "𩎳": [
+ "ㄐㄩㄢ1"
+ ],
+ "𩎵": [
+ "ㄨㄟ2"
+ ],
+ "𩎷": [
+ "ㄧ4"
+ ],
+ "𩎹": [
+ "ㄩ4"
+ ],
+ "𩎻": [
+ "ㄅㄞ4"
+ ],
+ "𩎼": [
+ "ㄊㄨㄛ2"
+ ],
+ "𩎽": [
+ "ㄊㄚ4"
+ ],
+ "𩎾": [
+ "ㄆㄠ2"
+ ],
+ "𩏂": [
+ "ㄅㄧㄥ3",
+ "ㄅㄧ4"
+ ],
+ "𩏅": [
+ "ㄩㄣ4"
+ ],
+ "𩏆": [
+ "ㄩㄣ4"
+ ],
+ "𩏇": [
+ "ㄉㄨㄢ4"
+ ],
+ "𩏈": [
+ "ㄖㄨㄢ3"
+ ],
+ "𩏉": [
+ "ㄨㄟ2"
+ ],
+ "𩏏": [
+ "ㄨㄟ2"
+ ],
+ "𩏐": [
+ "ㄍㄨㄟ4",
+ "ㄨㄟ3"
+ ],
+ "𩏒": [
+ "ㄉㄚ2"
+ ],
+ "𩏓": [
+ "ㄒㄧㄚ2"
+ ],
+ "𩏖": [
+ "ㄏㄨㄣ4"
+ ],
+ "𩏗": [
+ "ㄐㄩㄢ3"
+ ],
+ "𩏘": [
+ "ㄙㄨㄟ1"
+ ],
+ "𩏚": [
+ "ㄙㄨㄟ4"
+ ],
+ "𩏝": [
+ "ㄌㄡ2"
+ ],
+ "𩏞": [
+ "ㄅㄞ4"
+ ],
+ "𩏟": [
+ "ㄩ4"
+ ],
+ "𩏠": [
+ "ㄓㄥ4"
+ ],
+ "𩏡": [
+ "ㄍㄨㄟ4"
+ ],
+ "𩏣": [
+ "ㄎㄨㄟ1"
+ ],
+ "𩏤": [
+ "ㄍㄠ1"
+ ],
+ "𩏥": [
+ "ㄉㄢ1"
+ ],
+ "𩏩": [
+ "ㄒㄧㄢ3"
+ ],
+ "𩏪": [
+ "ㄓㄞ2"
+ ],
+ "𩏫": [
+ "ㄙㄜ4"
+ ],
+ "𩏭": [
+ "ㄎㄜ1"
+ ],
+ "𩏮": [
+ "ㄅㄨ3"
+ ],
+ "𩏯": [
+ "ㄅㄛ2"
+ ],
+ "𩏲": [
+ "ㄙㄨㄟ4"
+ ],
+ "𩏴": [
+ "ㄩ4"
+ ],
+ "𩏵": [
+ "ㄅㄨ3",
+ "ㄅㄨ4"
+ ],
+ "𩏶": [
+ "ㄐㄧㄡ1"
+ ],
+ "𩏷": [
+ "ㄐㄧㄡ1",
+ "ㄐㄧㄠ4"
+ ],
+ "𩏹": [
+ "ㄐㄩㄢ4"
+ ],
+ "𩏺": [
+ "ㄐㄩㄝ2"
+ ],
+ "𩏼": [
+ "ㄋㄚ4"
+ ],
+ "𩏽": [
+ "ㄓㄞ2"
+ ],
+ "𩏾": [
+ "ㄊㄠ1"
+ ],
+ "𩏿": [
+ "ㄨㄟ3"
+ ],
+ "𩐀": [
+ "ㄒㄧㄚ2"
+ ],
+ "𩐁": [
+ "ㄒㄧㄝ4"
+ ],
+ "𩐅": [
+ "ㄙㄚ4"
+ ],
+ "𩐆": [
+ "ㄐㄧ1"
+ ],
+ "𩐉": [
+ "ㄒㄧㄝ4"
+ ],
+ "𩐌": [
+ "ㄉㄨㄟ4"
+ ],
+ "𩐍": [
+ "ㄗ3"
+ ],
+ "𩐘": [
+ "ㄩㄢ3"
+ ],
+ "𩐙": [
+ "ㄑㄧㄣ4"
+ ],
+ "𩐚": [
+ "ㄈㄨ2"
+ ],
+ "𩐛": [
+ "ㄆㄥ2"
+ ],
+ "𩐜": [
+ "ㄆㄠ2"
+ ],
+ "𩐞": [
+ "ㄧㄣ4"
+ ],
+ "𩐠": [
+ "ㄏㄨㄥ1"
+ ],
+ "𩐡": [
+ "ㄗㄨ2"
+ ],
+ "𩐣": [
+ "ㄍㄨㄥ1"
+ ],
+ "𩐤": [
+ "ㄉㄨㄥ4"
+ ],
+ "𩐥": [
+ "ㄏㄜ1"
+ ],
+ "𩐦": [
+ "ㄨㄛ4"
+ ],
+ "𩐨": [
+ "ㄆㄤ1"
+ ],
+ "𩐫": [
+ "ㄙㄨ4"
+ ],
+ "𩐬": [
+ "ㄎㄢ3"
+ ],
+ "𩐭": [
+ "ㄋㄧㄝ4"
+ ],
+ "𩐮": [
+ "ㄏㄠ2"
+ ],
+ "𩐯": [
+ "ㄈㄥ4"
+ ],
+ "𩐰": [
+ "ㄜ4"
+ ],
+ "𩐱": [
+ "ㄧㄝ4"
+ ],
+ "𩐴": [
+ "ㄊㄧㄥ2"
+ ],
+ "𩐵": [
+ "ㄉㄨㄥ4"
+ ],
+ "𩐶": [
+ "ㄓㄜ2"
+ ],
+ "𩐷": [
+ "ㄙㄤ1"
+ ],
+ "𩐻": [
+ "ㄇㄛ4"
+ ],
+ "𩐼": [
+ "ㄙㄨ4"
+ ],
+ "𩐾": [
+ "ㄌㄜ4"
+ ],
+ "𩑀": [
+ "ㄆㄨ3"
+ ],
+ "𩑁": [
+ "ㄜ2"
+ ],
+ "𩑂": [
+ "ㄓㄨㄛ2"
+ ],
+ "𩑃": [
+ "ㄧㄝ4"
+ ],
+ "𩑇": [
+ "ㄒㄧㄤ1"
+ ],
+ "𩑈": [
+ "ㄍㄨㄤ4"
+ ],
+ "𩑉": [
+ "ㄖㄣ3"
+ ],
+ "𩑊": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩑍": [
+ "ㄠ4"
+ ],
+ "𩑐": [
+ "ㄔㄞ1"
+ ],
+ "𩑒": [
+ "ㄉㄨㄛ2"
+ ],
+ "𩑓": [
+ "ㄑㄩㄥ2"
+ ],
+ "𩑔": [
+ "ㄎㄨ1",
+ "ㄧㄚ4"
+ ],
+ "𩑕": [
+ "ㄒㄩ1"
+ ],
+ "𩑖": [
+ "ㄏㄨㄢ2"
+ ],
+ "𩑗": [
+ "ㄧㄠ1"
+ ],
+ "𩑘": [
+ "ㄓㄣ4"
+ ],
+ "𩑙": [
+ "ㄊㄧㄥ3"
+ ],
+ "𩑚": [
+ "ㄅㄥ3",
+ "ㄌㄟ4"
+ ],
+ "𩑝": [
+ "ㄤ2"
+ ],
+ "𩑟": [
+ "ㄎㄢ1",
+ "ㄑㄧㄢ1"
+ ],
+ "𩑡": [
+ "ㄎㄨ1",
+ "ㄍㄣ3"
+ ],
+ "𩑢": [
+ "ㄆㄟ2",
+ "ㄅㄞ1"
+ ],
+ "𩑣": [
+ "ㄧㄡ4"
+ ],
+ "𩑤": [
+ "ㄠ3"
+ ],
+ "𩑥": [
+ "ㄇㄣ2"
+ ],
+ "𩑦": [
+ "ㄇㄛ4"
+ ],
+ "𩑬": [
+ "ㄈㄨ3",
+ "ㄍㄨㄟ1"
+ ],
+ "𩑭": [
+ "ㄑㄧㄥ1"
+ ],
+ "𩑮": [
+ "ㄌㄚ4"
+ ],
+ "𩑯": [
+ "ㄉㄡ3"
+ ],
+ "𩑰": [
+ "ㄊㄢ3"
+ ],
+ "𩑳": [
+ "ㄑㄧㄢ3"
+ ],
+ "𩑴": [
+ "ㄧㄠ4"
+ ],
+ "𩑵": [
+ "ㄨㄟ4"
+ ],
+ "𩑶": [
+ "ㄏㄨ2",
+ "ㄎㄨ1"
+ ],
+ "𩑷": [
+ "ㄇㄛ4"
+ ],
+ "𩑸": [
+ "ㄏㄜ1"
+ ],
+ "𩑹": [
+ "ㄒㄩㄢ4"
+ ],
+ "𩑻": [
+ "ㄅㄧ4",
+ "ㄆㄛ2"
+ ],
+ "𩑼": [
+ "ㄆㄛ1"
+ ],
+ "𩑾": [
+ "ㄉㄧ1"
+ ],
+ "𩒀": [
+ "ㄓㄣ3"
+ ],
+ "𩒂": [
+ "ㄕ1"
+ ],
+ "𩒃": [
+ "ㄎㄢ3"
+ ],
+ "𩒄": [
+ "ㄘㄜ4"
+ ],
+ "𩒇": [
+ "ㄒㄩ1"
+ ],
+ "𩒈": [
+ "ㄓㄣ3"
+ ],
+ "𩒊": [
+ "ㄓㄨ3"
+ ],
+ "𩒏": [
+ "ㄏㄨㄟ4"
+ ],
+ "𩒐": [
+ "ㄔ3"
+ ],
+ "𩒓": [
+ "ㄏㄨㄥ3"
+ ],
+ "𩒔": [
+ "ㄋㄡ2"
+ ],
+ "𩒕": [
+ "ㄋㄧㄝ4",
+ "ㄆㄛ4",
+ "ㄜ4"
+ ],
+ "𩒖": [
+ "ㄧㄢ4"
+ ],
+ "𩒘": [
+ "ㄔㄨㄥ3"
+ ],
+ "𩒙": [
+ "ㄈㄨ3",
+ "ㄍㄨㄟ4"
+ ],
+ "𩒚": [
+ "ㄍㄨㄤ1"
+ ],
+ "𩒛": [
+ "ㄑㄧ1"
+ ],
+ "𩒝": [
+ "ㄍㄣ3"
+ ],
+ "𩒞": [
+ "ㄊㄧㄥ3"
+ ],
+ "𩒢": [
+ "ㄊㄢ3"
+ ],
+ "𩒣": [
+ "ㄑㄧㄢ3"
+ ],
+ "𩒦": [
+ "ㄐㄧㄡ4",
+ "ㄒㄧㄣ4"
+ ],
+ "𩒧": [
+ "ㄒㄩ1"
+ ],
+ "𩒨": [
+ "ㄑㄧ3"
+ ],
+ "𩒪": [
+ "ㄓㄣ4"
+ ],
+ "𩒮": [
+ "ㄑㄧㄡ2"
+ ],
+ "𩒰": [
+ "ㄜ3"
+ ],
+ "𩒳": [
+ "ㄏㄨㄟ4"
+ ],
+ "𩒴": [
+ "ㄏㄨㄥ4"
+ ],
+ "𩒵": [
+ "ㄑㄧㄥ3"
+ ],
+ "𩒷": [
+ "ㄔㄜ1",
+ "ㄖㄨㄥ3"
+ ],
+ "𩒺": [
+ "ㄈㄨ4"
+ ],
+ "𩒼": [
+ "ㄏㄨㄥ1"
+ ],
+ "𩒽": [
+ "ㄒㄧ1"
+ ],
+ "𩒾": [
+ "ㄨ2"
+ ],
+ "𩒿": [
+ "ㄇㄤ2"
+ ],
+ "𩓂": [
+ "ㄊㄧ1"
+ ],
+ "𩓅": [
+ "ㄏㄨㄥ1"
+ ],
+ "𩓐": [
+ "ㄅㄛ2"
+ ],
+ "𩓒": [
+ "ㄑㄧㄣ3"
+ ],
+ "𩓓": [
+ "ㄍㄣ3"
+ ],
+ "𩓖": [
+ "ㄈㄨ2"
+ ],
+ "𩓗": [
+ "ㄎㄨㄟ3"
+ ],
+ "𩓝": [
+ "ㄅㄧㄝ2"
+ ],
+ "𩓞": [
+ "ㄐㄧㄥ4"
+ ],
+ "𩓟": [
+ "ㄎㄢ3"
+ ],
+ "𩓠": [
+ "ㄍㄨㄟ1"
+ ],
+ "𩓢": [
+ "ㄍㄠ3"
+ ],
+ "𩓣": [
+ "ㄒㄩ1"
+ ],
+ "𩓤": [
+ "ㄢ4"
+ ],
+ "𩓥": [
+ "ㄩㄝ4"
+ ],
+ "𩓦": [
+ "ㄨ4"
+ ],
+ "𩓧": [
+ "ㄧ2"
+ ],
+ "𩓨": [
+ "ㄐㄧㄥ1"
+ ],
+ "𩓪": [
+ "ㄌㄨ4"
+ ],
+ "𩓫": [
+ "ㄑㄩㄢ2"
+ ],
+ "𩓬": [
+ "ㄊㄨㄟ2"
+ ],
+ "𩓮": [
+ "ㄐㄧ4"
+ ],
+ "𩓺": [
+ "ㄐㄩㄥ3"
+ ],
+ "𩓻": [
+ "ㄐㄩㄝ2"
+ ],
+ "𩓼": [
+ "ㄆㄧㄝ1"
+ ],
+ "𩓽": [
+ "ㄎㄨㄣ1"
+ ],
+ "𩔀": [
+ "ㄨㄞ4"
+ ],
+ "𩔁": [
+ "ㄏㄨㄟ4"
+ ],
+ "𩔂": [
+ "ㄉㄨㄣ4"
+ ],
+ "𩔃": [
+ "ㄩㄢ3"
+ ],
+ "𩔄": [
+ "ㄐㄧㄝ2"
+ ],
+ "𩔆": [
+ "ㄍㄨㄟ4"
+ ],
+ "𩔇": [
+ "ㄍㄠ3"
+ ],
+ "𩔈": [
+ "ㄆㄛ4"
+ ],
+ "𩔉": [
+ "ㄇㄣ2",
+ "ㄇㄧㄣ2",
+ "ㄏㄨㄣ1"
+ ],
+ "𩔊": [
+ "ㄓㄨㄢ4"
+ ],
+ "𩔋": [
+ "ㄏㄤ4"
+ ],
+ "𩔔": [
+ "ㄩㄥ2"
+ ],
+ "𩔕": [
+ "ㄑㄧㄡ2"
+ ],
+ "𩔗": [
+ "ㄌㄟ4"
+ ],
+ "𩔘": [
+ "ㄤ2"
+ ],
+ "𩔙": [
+ "ㄆㄧ3",
+ "ㄒㄧㄣ4"
+ ],
+ "𩔚": [
+ "ㄨㄥ1",
+ "ㄨㄥ3"
+ ],
+ "𩔝": [
+ "ㄑㄧㄣ4"
+ ],
+ "𩔟": [
+ "ㄑㄧㄣ3"
+ ],
+ "𩔠": [
+ "ㄇㄧㄝ4"
+ ],
+ "𩔡": [
+ "ㄉㄡ1"
+ ],
+ "𩔢": [
+ "ㄇㄧ2"
+ ],
+ "𩔣": [
+ "ㄓㄢ1"
+ ],
+ "𩔥": [
+ "ㄑㄧㄥ3"
+ ],
+ "𩔦": [
+ "ㄧ2"
+ ],
+ "𩔮": [
+ "ㄅㄢ1"
+ ],
+ "𩔱": [
+ "ㄐㄩㄢ1"
+ ],
+ "𩔳": [
+ "ㄗㄜ2"
+ ],
+ "𩔴": [
+ "ㄒㄩ4"
+ ],
+ "𩔵": [
+ "ㄌㄢ2"
+ ],
+ "𩔶": [
+ "ㄇㄚ2"
+ ],
+ "𩔷": [
+ "ㄇㄚ2"
+ ],
+ "𩔸": [
+ "ㄡ1"
+ ],
+ "𩔹": [
+ "ㄅㄟ1"
+ ],
+ "𩔻": [
+ "ㄆㄡ2"
+ ],
+ "𩔼": [
+ "ㄒㄩ4"
+ ],
+ "𩕀": [
+ "ㄠ4"
+ ],
+ "𩕆": [
+ "ㄏㄨㄥ3"
+ ],
+ "𩕉": [
+ "ㄏㄨㄥ3"
+ ],
+ "𩕊": [
+ "ㄓㄢ3"
+ ],
+ "𩕌": [
+ "ㄙㄣ3"
+ ],
+ "𩕍": [
+ "ㄍㄠ3",
+ "ㄏㄠ2"
+ ],
+ "𩕏": [
+ "ㄆㄛ2",
+ "ㄈㄢ2"
+ ],
+ "𩕐": [
+ "ㄌㄧㄠ4"
+ ],
+ "𩕕": [
+ "ㄨㄞ4"
+ ],
+ "𩕖": [
+ "ㄒㄩㄢ1"
+ ],
+ "𩕜": [
+ "ㄎㄨㄟ2"
+ ],
+ "𩕟": [
+ "ㄜ4"
+ ],
+ "𩕠": [
+ "ㄏㄢ4"
+ ],
+ "𩕡": [
+ "ㄙㄜ4"
+ ],
+ "𩕤": [
+ "ㄉㄢ4"
+ ],
+ "𩕪": [
+ "ㄒㄩㄢ1"
+ ],
+ "𩕬": [
+ "ㄜ4"
+ ],
+ "𩕭": [
+ "ㄍㄞ4"
+ ],
+ "𩕯": [
+ "ㄉㄠ1"
+ ],
+ "𩕱": [
+ "ㄇㄥ3"
+ ],
+ "𩕲": [
+ "ㄧ1"
+ ],
+ "𩕳": [
+ "ㄋㄧㄥ3"
+ ],
+ "𩕵": [
+ "ㄆㄧㄣ2"
+ ],
+ "𩕹": [
+ "ㄘㄤ1"
+ ],
+ "𩕾": [
+ "ㄩㄢ4"
+ ],
+ "𩖀": [
+ "ㄜ4"
+ ],
+ "𩖁": [
+ "ㄋㄧㄝ4",
+ "ㄧㄚ2"
+ ],
+ "𩖄": [
+ "ㄧㄣ3"
+ ],
+ "𩖇": [
+ "ㄑㄧㄠ1"
+ ],
+ "𩖉": [
+ "ㄏㄨㄥ1"
+ ],
+ "𩖊": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩖌": [
+ "ㄔㄢ1"
+ ],
+ "𩖍": [
+ "ㄧㄥ3"
+ ],
+ "𩖒": [
+ "ㄍㄨㄢ1"
+ ],
+ "𩖔": [
+ "ㄋㄧㄠ3"
+ ],
+ "𩖕": [
+ "ㄒㄩ1"
+ ],
+ "𩖖": [
+ "ㄊㄢ2"
+ ],
+ "𩖗": [
+ "ㄐㄧㄣ4"
+ ],
+ "𩖛": [
+ "ㄆㄥ2"
+ ],
+ "𩖝": [
+ "ㄌㄧㄠ2"
+ ],
+ "𩖠": [
+ "ㄅㄟ4"
+ ],
+ "𩖣": [
+ "ㄒㄧㄣ2",
+ "ㄅㄚ2"
+ ],
+ "𩖤": [
+ "ㄊㄨㄣ2"
+ ],
+ "𩖥": [
+ "ㄔㄠ1"
+ ],
+ "𩖦": [
+ "ㄍㄢ1"
+ ],
+ "𩖨": [
+ "ㄏㄨ1"
+ ],
+ "𩖩": [
+ "ㄨㄤ3"
+ ],
+ "𩖬": [
+ "ㄈㄨ2"
+ ],
+ "𩖭": [
+ "ㄆㄟ4"
+ ],
+ "𩖯": [
+ "ㄋㄠ2"
+ ],
+ "𩖰": [
+ "ㄒㄩㄣ2",
+ "ㄒㄧㄣ2"
+ ],
+ "𩖱": [
+ "ㄒㄩㄝ4"
+ ],
+ "𩖴": [
+ "ㄌㄧㄡ3"
+ ],
+ "𩖵": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩖶": [
+ "ㄒㄩㄝ4"
+ ],
+ "𩖷": [
+ "ㄑㄩ1"
+ ],
+ "𩖸": [
+ "ㄏㄠ2"
+ ],
+ "𩖹": [
+ "ㄧ2"
+ ],
+ "𩖺": [
+ "ㄏㄢ4"
+ ],
+ "𩖼": [
+ "ㄈㄨ2"
+ ],
+ "𩖽": [
+ "ㄅㄚ2"
+ ],
+ "𩖾": [
+ "ㄧ2"
+ ],
+ "𩗀": [
+ "ㄅㄛ2"
+ ],
+ "𩗄": [
+ "ㄏㄨㄥ1"
+ ],
+ "𩗅": [
+ "ㄌㄧ4"
+ ],
+ "𩗉": [
+ "ㄙㄚ4"
+ ],
+ "𩗊": [
+ "ㄒㄧ1"
+ ],
+ "𩗎": [
+ "ㄕ4"
+ ],
+ "𩗏": [
+ "ㄆㄧㄠ1"
+ ],
+ "𩗐": [
+ "ㄏㄨㄚ4"
+ ],
+ "𩗑": [
+ "ㄧ2"
+ ],
+ "𩗒": [
+ "ㄅㄛ2"
+ ],
+ "𩗓": [
+ "ㄅㄛ2"
+ ],
+ "𩗔": [
+ "ㄋㄟ3"
+ ],
+ "𩗕": [
+ "ㄑㄧㄡ2"
+ ],
+ "𩗘": [
+ "ㄨㄟ3"
+ ],
+ "𩗙": [
+ "ㄔㄜ4"
+ ],
+ "𩗚": [
+ "ㄧㄡ2"
+ ],
+ "𩗜": [
+ "ㄨㄟ4"
+ ],
+ "𩗝": [
+ "ㄏㄨㄟ3"
+ ],
+ "𩗞": [
+ "ㄙㄚ4"
+ ],
+ "𩗢": [
+ "ㄏㄨㄥ4"
+ ],
+ "𩗣": [
+ "ㄙㄡ1"
+ ],
+ "𩗤": [
+ "ㄏㄢ4"
+ ],
+ "𩗥": [
+ "ㄆㄠ2"
+ ],
+ "𩗧": [
+ "ㄈㄤ2"
+ ],
+ "𩗩": [
+ "ㄌㄧㄡ2"
+ ],
+ "𩗪": [
+ "ㄓㄡ4"
+ ],
+ "𩗫": [
+ "ㄆㄧ2"
+ ],
+ "𩗭": [
+ "ㄌㄧ4"
+ ],
+ "𩗰": [
+ "ㄔㄨㄟ2"
+ ],
+ "𩗱": [
+ "ㄒㄧ1"
+ ],
+ "𩗲": [
+ "ㄓㄥ1"
+ ],
+ "𩗴": [
+ "ㄅㄥ4"
+ ],
+ "𩗵": [
+ "ㄓㄥ1"
+ ],
+ "𩗶": [
+ "ㄙㄨㄟ4"
+ ],
+ "𩗷": [
+ "ㄧㄢ3"
+ ],
+ "𩗼": [
+ "ㄑㄧㄥ1"
+ ],
+ "𩗽": [
+ "ㄨ4"
+ ],
+ "𩗾": [
+ "ㄌㄧㄤ3"
+ ],
+ "𩘀": [
+ "ㄓㄠ4"
+ ],
+ "𩘁": [
+ "ㄌㄧㄤ2"
+ ],
+ "𩘅": [
+ "ㄐㄧㄝ1"
+ ],
+ "𩘇": [
+ "ㄏㄨㄥ1"
+ ],
+ "𩘈": [
+ "ㄧㄡ1"
+ ],
+ "𩘊": [
+ "ㄌㄚ4"
+ ],
+ "𩘋": [
+ "ㄏㄡ4"
+ ],
+ "𩘍": [
+ "ㄩㄢ4"
+ ],
+ "𩘎": [
+ "ㄏㄨㄥ2"
+ ],
+ "𩘏": [
+ "ㄧㄝ4"
+ ],
+ "𩘑": [
+ "ㄧㄥ3",
+ "ㄧㄥ1"
+ ],
+ "𩘒": [
+ "ㄒㄩㄢ3",
+ "ㄐㄩㄢ1"
+ ],
+ "𩘓": [
+ "ㄧㄡ2"
+ ],
+ "𩘘": [
+ "ㄑㄩㄢ2"
+ ],
+ "𩘜": [
+ "ㄊㄤ2"
+ ],
+ "𩘝": [
+ "ㄙㄨㄛ3"
+ ],
+ "𩘟": [
+ "ㄌㄧ4"
+ ],
+ "𩘠": [
+ "ㄙㄡ1"
+ ],
+ "𩘡": [
+ "ㄌㄧ4"
+ ],
+ "𩘤": [
+ "ㄩ4"
+ ],
+ "𩘧": [
+ "ㄧ4"
+ ],
+ "𩘭": [
+ "ㄒㄧㄡ1"
+ ],
+ "𩘮": [
+ "ㄠ2"
+ ],
+ "𩘯": [
+ "ㄊㄨㄢ2"
+ ],
+ "𩘰": [
+ "ㄙㄨ4"
+ ],
+ "𩘱": [
+ "ㄕㄨㄞ4"
+ ],
+ "𩘳": [
+ "ㄩ4"
+ ],
+ "𩘵": [
+ "ㄈㄥ1"
+ ],
+ "𩘹": [
+ "ㄙㄨ4"
+ ],
+ "𩘺": [
+ "ㄊㄨㄟ2"
+ ],
+ "𩘻": [
+ "ㄩ4"
+ ],
+ "𩘼": [
+ "ㄓㄥ1"
+ ],
+ "𩘽": [
+ "ㄓㄥ1"
+ ],
+ "𩘿": [
+ "ㄊㄠ2"
+ ],
+ "𩙄": [
+ "ㄌㄧㄡ2"
+ ],
+ "𩙆": [
+ "ㄔㄥ2"
+ ],
+ "𩙇": [
+ "ㄙㄨㄟ2"
+ ],
+ "𩙈": [
+ "ㄙㄠ1"
+ ],
+ "𩙏": [
+ "ㄍㄨ3"
+ ],
+ "𩙐": [
+ "ㄈㄥ1"
+ ],
+ "𩙑": [
+ "ㄌㄧㄝ4"
+ ],
+ "𩙒": [
+ "ㄆㄧㄠ1",
+ "ㄆㄧㄠ4"
+ ],
+ "𩙖": [
+ "ㄌㄧ4"
+ ],
+ "𩙘": [
+ "ㄌㄨㄥ2"
+ ],
+ "𩙙": [
+ "ㄔㄨ1"
+ ],
+ "𩙚": [
+ "ㄒㄧㄠ1"
+ ],
+ "𩙛": [
+ "ㄏㄨㄥ1"
+ ],
+ "𩙜": [
+ "ㄒㄧㄝ4"
+ ],
+ "𩙝": [
+ "ㄕㄜ4"
+ ],
+ "𩙠": [
+ "ㄌㄨㄥ2"
+ ],
+ "𩙡": [
+ "ㄏㄡ1"
+ ],
+ "𩙢": [
+ "ㄒㄩㄢ2",
+ "ㄕ1"
+ ],
+ "𩙣": [
+ "ㄈㄥ1"
+ ],
+ "𩙥": [
+ "ㄅㄚ2"
+ ],
+ "𩙦": [
+ "ㄅㄛ2"
+ ],
+ "𩙧": [
+ "ㄊㄠ2"
+ ],
+ "𩙨": [
+ "ㄙㄨ4"
+ ],
+ "𩙩": [
+ "ㄓㄠ4"
+ ],
+ "𩙪": [
+ "ㄅㄧㄠ1"
+ ],
+ "𩙫": [
+ "ㄙㄡ1"
+ ],
+ "𩙬": [
+ "ㄊㄨㄟ2"
+ ],
+ "𩙭": [
+ "ㄙㄨㄛ3"
+ ],
+ "𩙮": [
+ "ㄒㄧㄠ1"
+ ],
+ "𩙯": [
+ "ㄏㄥ2"
+ ],
+ "𩙰": [
+ "ㄙㄠ1"
+ ],
+ "𩙲": [
+ "ㄈㄟ1"
+ ],
+ "𩙷": [
+ "ㄋㄧㄡ4"
+ ],
+ "𩙸": [
+ "ㄇㄤ3"
+ ],
+ "𩙽": [
+ "ㄏㄨㄢ2",
+ "ㄒㄩㄢ1"
+ ],
+ "𩙾": [
+ "ㄓ1"
+ ],
+ "𩚂": [
+ "ㄧ4"
+ ],
+ "𩚄": [
+ "ㄩ4"
+ ],
+ "𩚇": [
+ "ㄧ2"
+ ],
+ "𩚈": [
+ "ㄩㄝ1"
+ ],
+ "𩚉": [
+ "ㄔ2"
+ ],
+ "𩚕": [
+ "ㄧㄣ3",
+ "ㄑㄧㄤ1"
+ ],
+ "𩚖": [
+ "ㄋㄧㄡ4"
+ ],
+ "𩚗": [
+ "ㄖㄨㄥ3"
+ ],
+ "𩚛": [
+ "ㄋㄚ4"
+ ],
+ "𩚣": [
+ "ㄊㄧㄢ2"
+ ],
+ "𩚥": [
+ "ㄅㄚ1"
+ ],
+ "𩚪": [
+ "ㄦ3"
+ ],
+ "𩚫": [
+ "ㄓㄥ1"
+ ],
+ "𩚬": [
+ "ㄜ4"
+ ],
+ "𩚭": [
+ "ㄆㄡ2"
+ ],
+ "𩚮": [
+ "ㄐㄧ1",
+ "ㄋㄧ4"
+ ],
+ "𩚯": [
+ "ㄋㄧ2"
+ ],
+ "𩚱": [
+ "ㄐㄩㄥ3"
+ ],
+ "𩚲": [
+ "ㄐㄧㄚ2"
+ ],
+ "𩚵": [
+ "ㄍㄢ1"
+ ],
+ "𩚹": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩚻": [
+ "ㄗㄨㄟ4"
+ ],
+ "𩚾": [
+ "ㄅㄟ4"
+ ],
+ "𩛅": [
+ "ㄕㄨ1"
+ ],
+ "𩛆": [
+ "ㄧ3"
+ ],
+ "𩛇": [
+ "ㄆㄞ1"
+ ],
+ "𩛋": [
+ "ㄋㄠ3"
+ ],
+ "𩛌": [
+ "ㄕ4"
+ ],
+ "𩛎": [
+ "ㄇㄢ3"
+ ],
+ "𩛏": [
+ "ㄕ4"
+ ],
+ "𩛑": [
+ "ㄊㄧ2"
+ ],
+ "𩛘": [
+ "ㄍㄨㄥ1"
+ ],
+ "𩛝": [
+ "ㄌㄟ4"
+ ],
+ "𩛞": [
+ "ㄅㄠ3",
+ "ㄋㄟ3",
+ "ㄆㄧㄠ3"
+ ],
+ "𩛟": [
+ "ㄩㄢ1",
+ "ㄇㄢ2"
+ ],
+ "𩛠": [
+ "ㄗㄨㄛ1"
+ ],
+ "𩛡": [
+ "ㄌㄤ2",
+ "ㄋㄤ2"
+ ],
+ "𩛢": [
+ "ㄒㄧㄡ1"
+ ],
+ "𩛥": [
+ "ㄗㄞ4"
+ ],
+ "𩛦": [
+ "ㄔㄥ4"
+ ],
+ "𩛧": [
+ "ㄐㄧㄢ1"
+ ],
+ "𩛨": [
+ "ㄇㄠ4"
+ ],
+ "𩛩": [
+ "ㄐㄧㄚ2"
+ ],
+ "𩛪": [
+ "ㄩ4"
+ ],
+ "𩛭": [
+ "ㄩ4"
+ ],
+ "𩛮": [
+ "ㄧ2"
+ ],
+ "𩛲": [
+ "ㄇㄤ1"
+ ],
+ "𩛳": [
+ "ㄗㄞ4",
+ "ㄘㄢ1"
+ ],
+ "𩛵": [
+ "ㄓㄨㄟ4"
+ ],
+ "𩛶": [
+ "ㄊㄧ2"
+ ],
+ "𩛹": [
+ "ㄒㄧ4"
+ ],
+ "𩛺": [
+ "ㄐㄩ2"
+ ],
+ "𩛻": [
+ "ㄗㄢ4",
+ "ㄗㄨㄢ3",
+ "ㄓㄢ1"
+ ],
+ "𩛼": [
+ "ㄌㄨ4"
+ ],
+ "𩛽": [
+ "ㄊㄠ2"
+ ],
+ "𩜀": [
+ "ㄓㄨㄟ4",
+ "ㄉㄨㄟ1"
+ ],
+ "𩜁": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩜃": [
+ "ㄐㄩ4"
+ ],
+ "𩜆": [
+ "ㄐㄧ1"
+ ],
+ "𩜇": [
+ "ㄐㄩㄢ3",
+ "ㄐㄩㄢ4"
+ ],
+ "𩜊": [
+ "ㄗ1"
+ ],
+ "𩜌": [
+ "ㄩㄝ1"
+ ],
+ "𩜍": [
+ "ㄉㄨㄥ1"
+ ],
+ "𩜒": [
+ "ㄋㄤ3"
+ ],
+ "𩜖": [
+ "ㄔㄨㄥ2"
+ ],
+ "𩜟": [
+ "ㄤ4"
+ ],
+ "𩜣": [
+ "ㄍㄥ1"
+ ],
+ "𩜥": [
+ "ㄅㄛ1"
+ ],
+ "𩜦": [
+ "ㄉㄧㄥ4"
+ ],
+ "𩜧": [
+ "ㄨㄟ3"
+ ],
+ "𩜬": [
+ "ㄑㄩㄢ2"
+ ],
+ "𩜭": [
+ "ㄎㄜ1"
+ ],
+ "𩜰": [
+ "ㄆㄧ4"
+ ],
+ "𩜱": [
+ "ㄎㄢ3",
+ "ㄙㄢ3"
+ ],
+ "𩜲": [
+ "ㄈㄨ2"
+ ],
+ "𩜳": [
+ "ㄩㄥ3"
+ ],
+ "𩜵": [
+ "ㄊㄨㄢ2"
+ ],
+ "𩜶": [
+ "ㄊㄡ3"
+ ],
+ "𩜷": [
+ "ㄧㄡ4",
+ "ㄋㄧㄡ4"
+ ],
+ "𩜸": [
+ "ㄧㄠ1"
+ ],
+ "𩜺": [
+ "ㄧㄝ1"
+ ],
+ "𩜽": [
+ "ㄧㄢ4"
+ ],
+ "𩝈": [
+ "ㄒㄧㄢ2"
+ ],
+ "𩝊": [
+ "ㄊㄧ2"
+ ],
+ "𩝌": [
+ "ㄙㄨㄟ4"
+ ],
+ "𩝐": [
+ "ㄘ2"
+ ],
+ "𩝔": [
+ "ㄒㄩ3"
+ ],
+ "𩝕": [
+ "ㄨ4"
+ ],
+ "𩝖": [
+ "ㄘㄢ1"
+ ],
+ "𩝗": [
+ "ㄩ4"
+ ],
+ "𩝚": [
+ "ㄔㄢ3"
+ ],
+ "𩝛": [
+ "ㄒㄧㄚ2"
+ ],
+ "𩝝": [
+ "ㄎㄠ4",
+ "ㄍㄠ1"
+ ],
+ "𩝞": [
+ "ㄘㄤ1"
+ ],
+ "𩝟": [
+ "ㄔㄚ1"
+ ],
+ "𩝠": [
+ "ㄑㄧㄡ3"
+ ],
+ "𩝣": [
+ "ㄉㄚ1"
+ ],
+ "𩝥": [
+ "ㄙㄨ4"
+ ],
+ "𩝨": [
+ "ㄏㄨㄚ1"
+ ],
+ "𩝷": [
+ "ㄨ1"
+ ],
+ "𩝸": [
+ "ㄩㄢ1"
+ ],
+ "𩝽": [
+ "ㄐㄧㄤ4"
+ ],
+ "𩝾": [
+ "ㄒㄧㄤ3"
+ ],
+ "𩝿": [
+ "ㄓㄞ1"
+ ],
+ "𩞀": [
+ "ㄙㄢ3",
+ "ㄔㄣ3",
+ "ㄘㄢ4"
+ ],
+ "𩞁": [
+ "ㄇㄛ2",
+ "ㄇㄧ2"
+ ],
+ "𩞃": [
+ "ㄕㄤ3",
+ "ㄒㄧㄤ3"
+ ],
+ "𩞄": [
+ "ㄘㄠ2"
+ ],
+ "𩞅": [
+ "ㄙㄨㄟ1"
+ ],
+ "𩞆": [
+ "ㄔㄨㄤ2"
+ ],
+ "𩞇": [
+ "ㄇㄧ2"
+ ],
+ "𩞈": [
+ "ㄓㄨ2"
+ ],
+ "𩞉": [
+ "ㄔㄨㄥ2"
+ ],
+ "𩞊": [
+ "ㄐㄧ4"
+ ],
+ "𩞋": [
+ "ㄔㄨㄥ2"
+ ],
+ "𩞙": [
+ "ㄌㄧㄢ2"
+ ],
+ "𩞞": [
+ "ㄏㄞ4"
+ ],
+ "𩞤": [
+ "ㄉㄨㄣ1"
+ ],
+ "𩞥": [
+ "ㄒㄧㄤ3"
+ ],
+ "𩞦": [
+ "ㄔㄥ1"
+ ],
+ "𩞧": [
+ "ㄕㄤ3"
+ ],
+ "𩞨": [
+ "ㄌㄧ4"
+ ],
+ "𩞩": [
+ "ㄏㄨㄤ2"
+ ],
+ "𩞬": [
+ "ㄉㄥ4"
+ ],
+ "𩞯": [
+ "ㄌㄧㄤ2"
+ ],
+ "𩞶": [
+ "ㄗㄚ1"
+ ],
+ "𩞺": [
+ "ㄏㄨㄛ4"
+ ],
+ "𩞻": [
+ "ㄌㄧㄣ2"
+ ],
+ "𩞾": [
+ "ㄉㄨ2",
+ "ㄧ4"
+ ],
+ "𩞿": [
+ "ㄏㄢ4"
+ ],
+ "𩟀": [
+ "ㄩㄥ1",
+ "ㄩㄥ3"
+ ],
+ "𩟁": [
+ "ㄩㄢ4",
+ "ㄒㄩㄢ4"
+ ],
+ "𩟂": [
+ "ㄍㄨㄛ4"
+ ],
+ "𩟃": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩟅": [
+ "ㄌㄧㄢ3"
+ ],
+ "𩟇": [
+ "ㄠ4"
+ ],
+ "𩟈": [
+ "ㄉㄤ1"
+ ],
+ "𩟉": [
+ "ㄧ4"
+ ],
+ "𩟊": [
+ "ㄋㄨㄥ2"
+ ],
+ "𩟋": [
+ "ㄕㄢ4"
+ ],
+ "𩟍": [
+ "ㄒㄧㄣ4"
+ ],
+ "𩟐": [
+ "ㄉㄚ2"
+ ],
+ "𩟑": [
+ "ㄩ4"
+ ],
+ "𩟒": [
+ "ㄘㄢ1"
+ ],
+ "𩟓": [
+ "ㄨㄛ4"
+ ],
+ "𩟔": [
+ "ㄔㄚ2"
+ ],
+ "𩟕": [
+ "ㄅㄛ2"
+ ],
+ "𩟗": [
+ "ㄐㄧㄢ3"
+ ],
+ "𩟞": [
+ "ㄇㄥ2"
+ ],
+ "𩟟": [
+ "ㄨㄟ3"
+ ],
+ "𩟠": [
+ "ㄇㄛ2"
+ ],
+ "𩟥": [
+ "ㄕㄨㄟ4",
+ "ㄐㄩㄢ3"
+ ],
+ "𩟦": [
+ "ㄐㄧㄝ2"
+ ],
+ "𩟧": [
+ "ㄕㄨㄛ4"
+ ],
+ "𩟨": [
+ "ㄏㄨㄛ4"
+ ],
+ "𩟫": [
+ "ㄔㄨㄛ4"
+ ],
+ "𩟭": [
+ "ㄌㄨㄥ2"
+ ],
+ "𩟮": [
+ "ㄏㄨㄞ4"
+ ],
+ "𩟰": [
+ "ㄊㄨㄛ1"
+ ],
+ "𩟳": [
+ "ㄩ2"
+ ],
+ "𩟶": [
+ "ㄔㄢ4",
+ "ㄐㄧㄝ2"
+ ],
+ "𩟷": [
+ "ㄩㄥ1"
+ ],
+ "𩟸": [
+ "ㄏㄨㄛ4"
+ ],
+ "𩟺": [
+ "ㄌㄢ3"
+ ],
+ "𩟿": [
+ "ㄋㄚ4"
+ ],
+ "𩠀": [
+ "ㄅㄚ1"
+ ],
+ "𩠁": [
+ "ㄍㄢ1"
+ ],
+ "𩠂": [
+ "ㄧ3"
+ ],
+ "𩠃": [
+ "ㄐㄧㄚ2"
+ ],
+ "𩠅": [
+ "ㄉㄚ2"
+ ],
+ "𩠆": [
+ "ㄉㄧㄥ4"
+ ],
+ "𩠇": [
+ "ㄒㄩㄣ4"
+ ],
+ "𩠈": [
+ "ㄖㄣ3"
+ ],
+ "𩠉": [
+ "ㄐㄩㄢ3"
+ ],
+ "𩠊": [
+ "ㄊㄨㄢ2"
+ ],
+ "𩠋": [
+ "ㄒㄩ3"
+ ],
+ "𩠌": [
+ "ㄙㄨㄥ4"
+ ],
+ "𩠎": [
+ "ㄘㄠ2"
+ ],
+ "𩠏": [
+ "ㄔㄥ1"
+ ],
+ "𩠑": [
+ "ㄉㄧㄥ3"
+ ],
+ "𩠚": [
+ "ㄏㄞ2"
+ ],
+ "𩠟": [
+ "ㄨ3"
+ ],
+ "𩠦": [
+ "ㄑㄧ3",
+ "ㄕㄡ3"
+ ],
+ "𩠨": [
+ "ㄐㄧ1",
+ "ㄑㄧ3"
+ ],
+ "𩠮": [
+ "ㄎㄨㄟ2"
+ ],
+ "𩠯": [
+ "ㄨㄟ2"
+ ],
+ "𩠶": [
+ "ㄕㄡ3"
+ ],
+ "𩠷": [
+ "ㄈㄨ2"
+ ],
+ "𩠹": [
+ "ㄊㄨㄢ2"
+ ],
+ "𩠻": [
+ "ㄅㄧㄝ2",
+ "ㄏㄢ1"
+ ],
+ "𩠽": [
+ "ㄊㄢ2"
+ ],
+ "𩠾": [
+ "ㄏㄤ1"
+ ],
+ "𩠿": [
+ "ㄆㄧㄝ1"
+ ],
+ "𩡃": [
+ "ㄩ2"
+ ],
+ "𩡄": [
+ "ㄊㄢ2",
+ "ㄒㄧㄤ1"
+ ],
+ "𩡌": [
+ "ㄒㄧㄤ1"
+ ],
+ "𩡎": [
+ "ㄒㄧㄡ1"
+ ],
+ "𩡓": [
+ "ㄨㄥ3"
+ ],
+ "𩡔": [
+ "ㄏㄞ4"
+ ],
+ "𩡕": [
+ "ㄆㄥ2"
+ ],
+ "𩡝": [
+ "ㄊㄢ2"
+ ],
+ "𩡟": [
+ "ㄅㄧㄝ2"
+ ],
+ "𩡠": [
+ "ㄒㄧㄤ1"
+ ],
+ "𩡣": [
+ "ㄧ3"
+ ],
+ "𩡦": [
+ "ㄆㄧㄠ2"
+ ],
+ "𩡧": [
+ "ㄏㄨㄢ2"
+ ],
+ "𩡨": [
+ "ㄇㄨ3"
+ ],
+ "𩡩": [
+ "ㄅㄚ1"
+ ],
+ "𩡫": [
+ "ㄈㄢ4"
+ ],
+ "𩡯": [
+ "ㄉㄧㄥ1"
+ ],
+ "𩡷": [
+ "ㄈㄣ1",
+ "ㄈㄟ4"
+ ],
+ "𩡺": [
+ "ㄐㄧㄝ4"
+ ],
+ "𩡾": [
+ "ㄙㄨㄛ2"
+ ],
+ "𩢄": [
+ "ㄨㄢ4"
+ ],
+ "𩢅": [
+ "ㄍㄜ1"
+ ],
+ "𩢈": [
+ "ㄈㄣ1"
+ ],
+ "𩢊": [
+ "ㄊㄨㄛ2"
+ ],
+ "𩢌": [
+ "ㄨㄣ2"
+ ],
+ "𩢍": [
+ "ㄍㄨㄚ1"
+ ],
+ "𩢎": [
+ "ㄉㄨㄛ1"
+ ],
+ "𩢐": [
+ "ㄓㄜ2"
+ ],
+ "𩢑": [
+ "ㄘ3"
+ ],
+ "𩢒": [
+ "ㄧㄠ3"
+ ],
+ "𩢔": [
+ "ㄅㄢ4"
+ ],
+ "𩢕": [
+ "ㄅㄨ4"
+ ],
+ "𩢖": [
+ "ㄇㄛ4"
+ ],
+ "𩢘": [
+ "ㄆㄛ3"
+ ],
+ "𩢛": [
+ "ㄍㄜ2"
+ ],
+ "𩢞": [
+ "ㄌㄧㄡ2"
+ ],
+ "𩢡": [
+ "ㄖㄢ3"
+ ],
+ "𩢨": [
+ "ㄍㄢ1"
+ ],
+ "𩢪": [
+ "ㄏㄨ2"
+ ],
+ "𩢫": [
+ "ㄇㄡ2"
+ ],
+ "𩢮": [
+ "ㄒㄧㄡ1"
+ ],
+ "𩢯": [
+ "ㄏㄨㄤ1"
+ ],
+ "𩢰": [
+ "ㄈㄨ2"
+ ],
+ "𩢱": [
+ "ㄏㄨㄟ2"
+ ],
+ "𩢳": [
+ "ㄑㄩ2"
+ ],
+ "𩢴": [
+ "ㄐㄧㄝ2",
+ "ㄐㄧ2"
+ ],
+ "𩢵": [
+ "ㄊㄨㄛ1"
+ ],
+ "𩢶": [
+ "ㄩ2"
+ ],
+ "𩢷": [
+ "ㄇㄛ4"
+ ],
+ "𩢸": [
+ "ㄓㄡ1"
+ ],
+ "𩢹": [
+ "ㄐㄧㄡ4"
+ ],
+ "𩢻": [
+ "ㄕㄨ2"
+ ],
+ "𩢼": [
+ "ㄎㄨㄤ1"
+ ],
+ "𩢽": [
+ "ㄑㄩㄥ2"
+ ],
+ "𩢾": [
+ "ㄌㄧㄝ4"
+ ],
+ "𩢿": [
+ "ㄈㄨ4"
+ ],
+ "𩣊": [
+ "ㄒㄩ4"
+ ],
+ "𩣖": [
+ "ㄌㄧㄣ4"
+ ],
+ "𩣘": [
+ "ㄋㄧㄝ4"
+ ],
+ "𩣚": [
+ "ㄆㄧ1",
+ "ㄅㄧ3"
+ ],
+ "𩣜": [
+ "ㄈㄨ4"
+ ],
+ "𩣝": [
+ "ㄅㄨ4"
+ ],
+ "𩣞": [
+ "ㄧ4",
+ "ㄙㄚ4"
+ ],
+ "𩣡": [
+ "ㄅㄛ2"
+ ],
+ "𩣣": [
+ "ㄜ2",
+ "ㄜ3"
+ ],
+ "𩣩": [
+ "ㄓㄜ2"
+ ],
+ "𩣫": [
+ "ㄌㄧ4"
+ ],
+ "𩣮": [
+ "ㄊㄨ4"
+ ],
+ "𩣯": [
+ "ㄉㄚ2"
+ ],
+ "𩣱": [
+ "ㄌㄨ4"
+ ],
+ "𩣲": [
+ "ㄧㄢ1"
+ ],
+ "𩣳": [
+ "ㄉㄨㄥ1"
+ ],
+ "𩣴": [
+ "ㄑㄧㄝ4"
+ ],
+ "𩣵": [
+ "ㄨㄢ3",
+ "ㄨㄛ4"
+ ],
+ "𩣶": [
+ "ㄇㄧㄥ3"
+ ],
+ "𩣷": [
+ "ㄗㄨㄟ1",
+ "ㄓㄨ4"
+ ],
+ "𩣸": [
+ "ㄈㄨ4"
+ ],
+ "𩣹": [
+ "ㄑㄩ1"
+ ],
+ "𩣺": [
+ "ㄅㄣ1"
+ ],
+ "𩣻": [
+ "ㄠ3"
+ ],
+ "𩣼": [
+ "ㄑㄧㄤ1"
+ ],
+ "𩤁": [
+ "ㄑㄩㄣ1"
+ ],
+ "𩤈": [
+ "ㄑㄩㄝ4"
+ ],
+ "𩤉": [
+ "ㄏㄨㄚ2",
+ "ㄊㄠ2"
+ ],
+ "𩤊": [
+ "ㄒㄧㄢ4",
+ "ㄐㄧㄢ4"
+ ],
+ "𩤋": [
+ "ㄎㄨㄣ4"
+ ],
+ "𩤏": [
+ "ㄘㄨㄟ4"
+ ],
+ "𩤒": [
+ "ㄧ2"
+ ],
+ "𩤖": [
+ "ㄔ1",
+ "ㄦ2"
+ ],
+ "𩤗": [
+ "ㄗㄨㄥ4"
+ ],
+ "𩤘": [
+ "ㄋㄠ3"
+ ],
+ "𩤙": [
+ "ㄔㄥ2"
+ ],
+ "𩤚": [
+ "ㄉㄨㄢ1"
+ ],
+ "𩤛": [
+ "ㄩㄥ2"
+ ],
+ "𩤜": [
+ "ㄓㄜ3"
+ ],
+ "𩤞": [
+ "ㄊㄢ4"
+ ],
+ "𩤟": [
+ "ㄧㄤ2"
+ ],
+ "𩤠": [
+ "ㄒㄧㄝ2"
+ ],
+ "𩤡": [
+ "ㄒㄩㄢ1"
+ ],
+ "𩤣": [
+ "ㄉㄨㄢ4"
+ ],
+ "𩤤": [
+ "ㄕㄨㄚ3"
+ ],
+ "𩤥": [
+ "ㄒㄧㄢ2"
+ ],
+ "𩤦": [
+ "ㄒㄧㄢ2"
+ ],
+ "𩤩": [
+ "ㄜ2"
+ ],
+ "𩤲": [
+ "ㄌㄚ1"
+ ],
+ "𩤸": [
+ "ㄨㄟ4"
+ ],
+ "𩤹": [
+ "ㄧㄡ1"
+ ],
+ "𩤺": [
+ "ㄩ2"
+ ],
+ "𩤽": [
+ "ㄊㄧ1"
+ ],
+ "𩤿": [
+ "ㄐㄧㄣ1"
+ ],
+ "𩥁": [
+ "ㄊㄤ2"
+ ],
+ "𩥂": [
+ "ㄑㄧ2"
+ ],
+ "𩥄": [
+ "ㄉㄧㄢ1"
+ ],
+ "𩥅": [
+ "ㄊㄠ1"
+ ],
+ "𩥆": [
+ "ㄌㄩ4"
+ ],
+ "𩥇": [
+ "ㄓㄢ4"
+ ],
+ "𩥈": [
+ "ㄨㄣ1"
+ ],
+ "𩥉": [
+ "ㄐㄧ4"
+ ],
+ "𩥊": [
+ "ㄠ1",
+ "ㄐㄧㄠ1"
+ ],
+ "𩥋": [
+ "ㄡ4",
+ "ㄉㄨ2"
+ ],
+ "𩥌": [
+ "ㄑㄧㄚ4"
+ ],
+ "𩥐": [
+ "ㄕ1"
+ ],
+ "𩥑": [
+ "ㄊㄚ3"
+ ],
+ "𩥔": [
+ "ㄇㄛ4"
+ ],
+ "𩥘": [
+ "ㄧㄡ2"
+ ],
+ "𩥠": [
+ "ㄓㄚ2"
+ ],
+ "𩥣": [
+ "ㄧㄠ2"
+ ],
+ "𩥫": [
+ "ㄔㄨㄥ1"
+ ],
+ "𩥬": [
+ "ㄌㄧ2"
+ ],
+ "𩥭": [
+ "ㄩ2"
+ ],
+ "𩥮": [
+ "ㄔㄢ3"
+ ],
+ "𩥯": [
+ "ㄧ1"
+ ],
+ "𩥲": [
+ "ㄔ4"
+ ],
+ "𩥴": [
+ "ㄌㄧ2"
+ ],
+ "𩥽": [
+ "ㄊㄨ2"
+ ],
+ "𩥿": [
+ "ㄗㄨ2"
+ ],
+ "𩦂": [
+ "ㄒㄧㄢ2"
+ ],
+ "𩦇": [
+ "ㄒㄧ4"
+ ],
+ "𩦉": [
+ "ㄅㄧㄝ2"
+ ],
+ "𩦊": [
+ "ㄏㄢ2",
+ "ㄑㄧㄢ1"
+ ],
+ "𩦋": [
+ "ㄑㄧ2"
+ ],
+ "𩦌": [
+ "ㄙㄤ1",
+ "ㄕㄨㄤ1"
+ ],
+ "𩦎": [
+ "ㄈㄟ1",
+ "ㄈㄟ3"
+ ],
+ "𩦐": [
+ "ㄕㄢ4",
+ "ㄏㄨㄛ1"
+ ],
+ "𩦘": [
+ "ㄏㄨㄢ1"
+ ],
+ "𩦠": [
+ "ㄅㄤ4"
+ ],
+ "𩦡": [
+ "ㄩ2"
+ ],
+ "𩦢": [
+ "ㄩ2"
+ ],
+ "𩦤": [
+ "ㄐㄧ2"
+ ],
+ "𩦱": [
+ "ㄎㄨㄞ3"
+ ],
+ "𩦲": [
+ "ㄗㄨㄥ1"
+ ],
+ "𩦹": [
+ "ㄒㄧㄢ4"
+ ],
+ "𩦺": [
+ "ㄇㄥ2"
+ ],
+ "𩧃": [
+ "ㄌㄧ4"
+ ],
+ "𩧄": [
+ "ㄓ4"
+ ],
+ "𩧅": [
+ "ㄈㄢ2"
+ ],
+ "𩧆": [
+ "ㄌㄧㄝ4",
+ "ㄌㄚ4"
+ ],
+ "𩧇": [
+ "ㄘㄞ4"
+ ],
+ "𩧈": [
+ "ㄉㄨ2"
+ ],
+ "𩧉": [
+ "ㄍㄨㄤ1"
+ ],
+ "𩧊": [
+ "ㄒㄩㄥ4"
+ ],
+ "𩧋": [
+ "ㄌㄧ2"
+ ],
+ "𩧌": [
+ "ㄑㄧ4"
+ ],
+ "𩧏": [
+ "ㄐㄩㄝ2"
+ ],
+ "𩧐": [
+ "ㄊㄨㄛ1"
+ ],
+ "𩧒": [
+ "ㄐㄩ4"
+ ],
+ "𩧓": [
+ "ㄒㄧㄠ1"
+ ],
+ "𩧘": [
+ "ㄑㄩ2"
+ ],
+ "𩧜": [
+ "ㄓㄨㄢ3"
+ ],
+ "𩧡": [
+ "ㄐㄩㄝ2"
+ ],
+ "𩧦": [
+ "ㄐㄧㄝ4"
+ ],
+ "𩧨": [
+ "ㄓㄡ4"
+ ],
+ "𩧩": [
+ "ㄒㄧㄢ4"
+ ],
+ "𩧪": [
+ "ㄌㄨㄥ2"
+ ],
+ "𩧫": [
+ "ㄧㄤ3"
+ ],
+ "𩧬": [
+ "ㄖㄢ3"
+ ],
+ "𩧭": [
+ "ㄧ4"
+ ],
+ "𩧮": [
+ "ㄌㄧㄝ4"
+ ],
+ "𩧯": [
+ "ㄅㄛ1"
+ ],
+ "𩧰": [
+ "ㄏㄨㄣ2"
+ ],
+ "𩧱": [
+ "ㄐㄧ4"
+ ],
+ "𩧲": [
+ "ㄉㄨㄥ4"
+ ],
+ "𩧳": [
+ "ㄓㄡ1"
+ ],
+ "𩧴": [
+ "ㄑㄩㄢ1"
+ ],
+ "𩧵": [
+ "ㄐㄧㄝ2"
+ ],
+ "𩧺": [
+ "ㄐㄩ2"
+ ],
+ "𩧼": [
+ "ㄅㄣ1"
+ ],
+ "𩧿": [
+ "ㄅㄧ1"
+ ],
+ "𩨀": [
+ "ㄍㄜ2"
+ ],
+ "𩨁": [
+ "ㄔㄨㄣ3"
+ ],
+ "𩨃": [
+ "ㄑㄧㄢ2"
+ ],
+ "𩨄": [
+ "ㄙㄡ1"
+ ],
+ "𩨅": [
+ "ㄨㄟ4"
+ ],
+ "𩨆": [
+ "ㄔㄥ2"
+ ],
+ "𩨇": [
+ "ㄌㄡ2"
+ ],
+ "𩨈": [
+ "ㄩ2"
+ ],
+ "𩨉": [
+ "ㄌㄚ1"
+ ],
+ "𩨊": [
+ "ㄑㄧㄢ2"
+ ],
+ "𩨋": [
+ "ㄉㄧㄢ1"
+ ],
+ "𩨌": [
+ "ㄊㄚ3"
+ ],
+ "𩨍": [
+ "ㄓㄢ4"
+ ],
+ "𩨏": [
+ "ㄈㄢ2"
+ ],
+ "𩨐": [
+ "ㄌㄧㄝ4"
+ ],
+ "𩨑": [
+ "ㄊㄧㄥ1"
+ ],
+ "𩨒": [
+ "ㄐㄧ1"
+ ],
+ "𩨓": [
+ "ㄑㄧㄢ1"
+ ],
+ "𩨔": [
+ "ㄏㄨ2",
+ "ㄏㄨㄚ2"
+ ],
+ "𩨗": [
+ "ㄩ2"
+ ],
+ "𩨘": [
+ "ㄑㄧ4",
+ "ㄍㄜ1"
+ ],
+ "𩨙": [
+ "ㄩ2"
+ ],
+ "𩨚": [
+ "ㄨㄚ1"
+ ],
+ "𩨜": [
+ "ㄅㄚ4"
+ ],
+ "𩨝": [
+ "ㄑㄧ2"
+ ],
+ "𩨞": [
+ "ㄙㄚ3"
+ ],
+ "𩨟": [
+ "ㄑㄧㄠ1"
+ ],
+ "𩨠": [
+ "ㄧㄚ4"
+ ],
+ "𩨡": [
+ "ㄒㄧㄢ3",
+ "ㄙㄢ3"
+ ],
+ "𩨨": [
+ "ㄘ1"
+ ],
+ "𩨩": [
+ "ㄈㄢ4"
+ ],
+ "𩨫": [
+ "ㄎㄨㄣ3"
+ ],
+ "𩨬": [
+ "ㄍㄨㄣ3"
+ ],
+ "𩨭": [
+ "ㄑㄩㄝ1"
+ ],
+ "𩨮": [
+ "ㄜ4"
+ ],
+ "𩨯": [
+ "ㄑㄩㄥ2"
+ ],
+ "𩨲": [
+ "ㄇㄚ4"
+ ],
+ "𩨳": [
+ "ㄎㄨ1",
+ "ㄉㄨ1"
+ ],
+ "𩨴": [
+ "ㄧㄠ3"
+ ],
+ "𩨷": [
+ "ㄑㄩㄝ1"
+ ],
+ "𩨸": [
+ "ㄔㄨ1"
+ ],
+ "𩨹": [
+ "ㄐㄧㄚ3"
+ ],
+ "𩨻": [
+ "ㄓㄨ3"
+ ],
+ "𩨽": [
+ "ㄉㄨㄟ1"
+ ],
+ "𩨾": [
+ "ㄨㄚ2"
+ ],
+ "𩩀": [
+ "ㄋㄠ3"
+ ],
+ "𩩄": [
+ "ㄧㄢ2"
+ ],
+ "𩩅": [
+ "ㄊㄨㄥ2"
+ ],
+ "𩩋": [
+ "ㄒㄧㄥ2",
+ "ㄐㄧㄥ4"
+ ],
+ "𩩌": [
+ "ㄍㄨㄣ3"
+ ],
+ "𩩍": [
+ "ㄆㄧㄥ1"
+ ],
+ "𩩑": [
+ "ㄩ3"
+ ],
+ "𩩒": [
+ "ㄏㄜ4"
+ ],
+ "𩩔": [
+ "ㄓㄨㄛ2"
+ ],
+ "𩩗": [
+ "ㄕㄜ1"
+ ],
+ "𩩘": [
+ "ㄩ3"
+ ],
+ "𩩛": [
+ "ㄐㄧ4"
+ ],
+ "𩩝": [
+ "ㄑㄧㄤ1"
+ ],
+ "𩩞": [
+ "ㄕㄨㄟ4"
+ ],
+ "𩩟": [
+ "ㄔㄨㄛ4"
+ ],
+ "𩩠": [
+ "ㄗㄨ2"
+ ],
+ "𩩡": [
+ "ㄌㄥ2"
+ ],
+ "𩩢": [
+ "ㄋㄧ2"
+ ],
+ "𩩤": [
+ "ㄨㄚ1"
+ ],
+ "𩩥": [
+ "ㄓㄚ2"
+ ],
+ "𩩧": [
+ "ㄉㄢ4"
+ ],
+ "𩩮": [
+ "ㄉㄨ4"
+ ],
+ "𩩯": [
+ "ㄅㄧㄢ4"
+ ],
+ "𩩰": [
+ "ㄐㄧㄝ1",
+ "ㄏㄞ2"
+ ],
+ "𩩱": [
+ "ㄑㄧㄚ4"
+ ],
+ "𩩲": [
+ "ㄏㄜ2"
+ ],
+ "𩩳": [
+ "ㄔㄨㄥ4"
+ ],
+ "𩩴": [
+ "ㄧㄢ2"
+ ],
+ "𩩶": [
+ "ㄧㄢ4"
+ ],
+ "𩩺": [
+ "ㄙㄨㄥ2"
+ ],
+ "𩩻": [
+ "ㄊㄥ2"
+ ],
+ "𩩼": [
+ "ㄧㄠ3"
+ ],
+ "𩩾": [
+ "ㄎㄠ1"
+ ],
+ "𩪀": [
+ "ㄓㄨㄟ1"
+ ],
+ "𩪁": [
+ "ㄍㄨㄟ4"
+ ],
+ "𩪂": [
+ "ㄞ2"
+ ],
+ "𩪃": [
+ "ㄏㄞ4"
+ ],
+ "𩪈": [
+ "ㄙㄨㄛ3"
+ ],
+ "𩪉": [
+ "ㄒㄩ4"
+ ],
+ "𩪊": [
+ "ㄅㄧㄠ1"
+ ],
+ "𩪌": [
+ "ㄈㄥ4"
+ ],
+ "𩪍": [
+ "ㄑㄩ1",
+ "ㄕㄨ1"
+ ],
+ "𩪎": [
+ "ㄇㄤ3"
+ ],
+ "𩪐": [
+ "ㄍㄨㄛ2"
+ ],
+ "𩪖": [
+ "ㄅㄧ4"
+ ],
+ "𩪗": [
+ "ㄐㄩㄝ2"
+ ],
+ "𩪘": [
+ "ㄔㄨㄤ2"
+ ],
+ "𩪛": [
+ "ㄆㄨ2"
+ ],
+ "𩪟": [
+ "ㄧ4"
+ ],
+ "𩪢": [
+ "ㄑㄧㄢ1"
+ ],
+ "𩪣": [
+ "ㄧ4"
+ ],
+ "𩪤": [
+ "ㄜ4"
+ ],
+ "𩪥": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩪧": [
+ "ㄅㄧ4"
+ ],
+ "𩪭": [
+ "ㄏㄨㄛ4"
+ ],
+ "𩪮": [
+ "ㄇㄛ3",
+ "ㄇㄛ2"
+ ],
+ "𩪱": [
+ "ㄒㄩㄣ1"
+ ],
+ "𩪴": [
+ "ㄧㄢ4"
+ ],
+ "𩪸": [
+ "ㄌㄧ4"
+ ],
+ "𩪺": [
+ "ㄊㄢ2"
+ ],
+ "𩪾": [
+ "ㄌㄨㄢ2"
+ ],
+ "𩫀": [
+ "ㄎㄞ4"
+ ],
+ "𩫁": [
+ "ㄇㄠ4"
+ ],
+ "𩫂": [
+ "ㄒㄧㄠ1"
+ ],
+ "𩫇": [
+ "ㄞ3"
+ ],
+ "𩫊": [
+ "ㄊㄚ3"
+ ],
+ "𩫍": [
+ "ㄇㄟ4"
+ ],
+ "𩫏": [
+ "ㄍㄨㄛ1",
+ "ㄩㄥ1"
+ ],
+ "𩫓": [
+ "ㄍㄠ3"
+ ],
+ "𩫔": [
+ "ㄋㄠ2"
+ ],
+ "𩫕": [
+ "ㄏㄠ2"
+ ],
+ "𩫠": [
+ "ㄑㄩㄝ1"
+ ],
+ "𩫥": [
+ "ㄘㄠ2"
+ ],
+ "𩫦": [
+ "ㄙㄠ4"
+ ],
+ "𩫫": [
+ "ㄆㄧ2"
+ ],
+ "𩫲": [
+ "ㄒㄧㄝ1"
+ ],
+ "𩫳": [
+ "ㄒㄧㄠ1"
+ ],
+ "𩫴": [
+ "ㄐㄩ2"
+ ],
+ "𩫹": [
+ "ㄔㄥ2"
+ ],
+ "𩫺": [
+ "ㄋㄠ3"
+ ],
+ "𩬀": [
+ "ㄋㄟ4"
+ ],
+ "𩬍": [
+ "ㄇㄨ3"
+ ],
+ "𩬏": [
+ "ㄕㄠ1"
+ ],
+ "𩬑": [
+ "ㄉㄧㄢ1",
+ "ㄔㄢ1"
+ ],
+ "𩬔": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩬖": [
+ "ㄓㄣ3"
+ ],
+ "𩬗": [
+ "ㄧㄠ3"
+ ],
+ "𩬙": [
+ "ㄈㄨ4",
+ "ㄈㄨ1"
+ ],
+ "𩬚": [
+ "ㄑㄧㄢ2",
+ "ㄍㄢ4"
+ ],
+ "𩬛": [
+ "ㄑㄩㄥ2"
+ ],
+ "𩬜": [
+ "ㄐㄩ2"
+ ],
+ "𩬝": [
+ "ㄅㄧㄥ4",
+ "ㄈㄤ3"
+ ],
+ "𩬞": [
+ "ㄇㄠ2",
+ "ㄇㄢ2",
+ "ㄇㄧㄢ2"
+ ],
+ "𩬟": [
+ "ㄓㄚ4"
+ ],
+ "𩬠": [
+ "ㄊㄞ1"
+ ],
+ "𩬤": [
+ "ㄔㄨㄥ1"
+ ],
+ "𩬫": [
+ "ㄓㄞ3"
+ ],
+ "𩬭": [
+ "ㄕ1"
+ ],
+ "𩬮": [
+ "ㄩㄥ4"
+ ],
+ "𩬰": [
+ "ㄑㄩㄥ2"
+ ],
+ "𩬱": [
+ "ㄉㄠ4"
+ ],
+ "𩬲": [
+ "ㄊㄧ4"
+ ],
+ "𩬳": [
+ "ㄓㄨㄟ3"
+ ],
+ "𩬵": [
+ "ㄧㄣ4"
+ ],
+ "𩬷": [
+ "ㄋㄠ3"
+ ],
+ "𩬸": [
+ "ㄅㄛ1"
+ ],
+ "𩬹": [
+ "ㄎㄨㄤ1"
+ ],
+ "𩬺": [
+ "ㄓ3"
+ ],
+ "𩬻": [
+ "ㄉㄨㄛ3"
+ ],
+ "𩬼": [
+ "ㄘㄨㄥ1"
+ ],
+ "𩬽": [
+ "ㄅㄠ3"
+ ],
+ "𩭇": [
+ "ㄌㄧ2"
+ ],
+ "𩭊": [
+ "ㄐㄩ2"
+ ],
+ "𩭋": [
+ "ㄨㄣ2",
+ "ㄎㄨㄣ1"
+ ],
+ "𩭌": [
+ "ㄌㄧㄝ4"
+ ],
+ "𩭏": [
+ "ㄨㄛ3"
+ ],
+ "𩭐": [
+ "ㄕ3"
+ ],
+ "𩭑": [
+ "ㄋㄧㄠ3"
+ ],
+ "𩭒": [
+ "ㄇㄤ2"
+ ],
+ "𩭓": [
+ "ㄐㄧㄡ1"
+ ],
+ "𩭘": [
+ "ㄒㄧㄡ1"
+ ],
+ "𩭝": [
+ "ㄨㄛ3"
+ ],
+ "𩭟": [
+ "ㄉㄠ4"
+ ],
+ "𩭡": [
+ "ㄒㄧ1"
+ ],
+ "𩭢": [
+ "ㄢ4"
+ ],
+ "𩭣": [
+ "ㄉㄚ2"
+ ],
+ "𩭤": [
+ "ㄗㄨㄥ3",
+ "ㄗㄨㄥ1"
+ ],
+ "𩭥": [
+ "ㄏㄢ4"
+ ],
+ "𩭦": [
+ "ㄔㄨㄟ2"
+ ],
+ "𩭧": [
+ "ㄅㄧ1",
+ "ㄅㄢ1"
+ ],
+ "𩭩": [
+ "ㄉㄨㄥ4"
+ ],
+ "𩭫": [
+ "ㄓㄤ3"
+ ],
+ "𩭯": [
+ "ㄧㄚ1"
+ ],
+ "𩭲": [
+ "ㄉㄧ2"
+ ],
+ "𩭳": [
+ "ㄏㄨㄛ1"
+ ],
+ "𩭷": [
+ "ㄇㄧㄣ2"
+ ],
+ "𩭺": [
+ "ㄈㄨ4"
+ ],
+ "𩭼": [
+ "ㄅㄠ3"
+ ],
+ "𩭽": [
+ "ㄎㄜ4"
+ ],
+ "𩭾": [
+ "ㄇㄠ2"
+ ],
+ "𩭿": [
+ "ㄖㄜ4"
+ ],
+ "𩮀": [
+ "ㄗㄨㄥ1",
+ "ㄗㄨㄥ3",
+ "ㄙㄨㄥ1"
+ ],
+ "𩮁": [
+ "ㄑㄧㄚ4"
+ ],
+ "𩮂": [
+ "ㄒㄧㄚ1"
+ ],
+ "𩮃": [
+ "ㄙㄡ1"
+ ],
+ "𩮄": [
+ "ㄒㄧㄡ1"
+ ],
+ "𩮅": [
+ "ㄋㄚ4"
+ ],
+ "𩮉": [
+ "ㄇㄢ2",
+ "ㄇㄧㄢ2"
+ ],
+ "𩮎": [
+ "ㄓㄚ1"
+ ],
+ "𩮏": [
+ "ㄔㄢ2"
+ ],
+ "𩮐": [
+ "ㄕㄜ4"
+ ],
+ "𩮑": [
+ "ㄨㄛ3"
+ ],
+ "𩮖": [
+ "ㄞ2"
+ ],
+ "𩮗": [
+ "ㄅㄤ4",
+ "ㄆㄥ2",
+ "ㄈㄤ3"
+ ],
+ "𩮘": [
+ "ㄏㄠ1"
+ ],
+ "𩮚": [
+ "ㄙㄠ1"
+ ],
+ "𩮛": [
+ "ㄙㄨㄛ3"
+ ],
+ "𩮜": [
+ "ㄊㄧ4"
+ ],
+ "𩮝": [
+ "ㄧㄚ4"
+ ],
+ "𩮟": [
+ "ㄅㄧㄥ4"
+ ],
+ "𩮠": [
+ "ㄖㄨㄥ2"
+ ],
+ "𩮫": [
+ "ㄕㄚ1"
+ ],
+ "𩮬": [
+ "ㄨㄥ3"
+ ],
+ "𩮯": [
+ "ㄠ2"
+ ],
+ "𩮱": [
+ "ㄓㄨㄤ1"
+ ],
+ "𩮳": [
+ "ㄆㄧㄠ4",
+ "ㄆㄧㄠ3",
+ "ㄆㄧㄝ1"
+ ],
+ "𩮴": [
+ "ㄙㄨㄟ1",
+ "ㄘㄨㄟ3"
+ ],
+ "𩮵": [
+ "ㄧ1"
+ ],
+ "𩮶": [
+ "ㄙㄡ1"
+ ],
+ "𩮷": [
+ "ㄉㄡ1"
+ ],
+ "𩮸": [
+ "ㄙㄡ1",
+ "ㄋㄚ4"
+ ],
+ "𩮹": [
+ "ㄌㄨㄛ2"
+ ],
+ "𩯃": [
+ "ㄈㄟ4",
+ "ㄅㄧ4"
+ ],
+ "𩯄": [
+ "ㄗㄨㄣ4"
+ ],
+ "𩯆": [
+ "ㄋㄠ4"
+ ],
+ "𩯇": [
+ "ㄉㄥ1"
+ ],
+ "𩯈": [
+ "ㄓ2"
+ ],
+ "𩯉": [
+ "ㄘㄨㄛ1"
+ ],
+ "𩯊": [
+ "ㄌㄧㄠ2"
+ ],
+ "𩯋": [
+ "ㄐㄧ3"
+ ],
+ "𩯌": [
+ "ㄅㄛ1"
+ ],
+ "𩯍": [
+ "ㄘㄨㄥ2"
+ ],
+ "𩯎": [
+ "ㄔㄥ2"
+ ],
+ "𩯏": [
+ "ㄅㄨ3"
+ ],
+ "𩯑": [
+ "ㄙㄢ1"
+ ],
+ "𩯒": [
+ "ㄗㄢ4"
+ ],
+ "𩯘": [
+ "ㄐㄧㄠ4"
+ ],
+ "𩯛": [
+ "ㄧㄠ4"
+ ],
+ "𩯜": [
+ "ㄌㄨ3"
+ ],
+ "𩯞": [
+ "ㄘㄢ4"
+ ],
+ "𩯨": [
+ "ㄋㄧ3"
+ ],
+ "𩯰": [
+ "ㄐㄧㄝ2",
+ "ㄐㄧ4"
+ ],
+ "𩯱": [
+ "ㄆㄨ2"
+ ],
+ "𩯲": [
+ "ㄓㄨㄤ4"
+ ],
+ "𩯳": [
+ "ㄗㄢ4",
+ "ㄗㄨㄢ3",
+ "ㄗㄚ1"
+ ],
+ "𩯺": [
+ "ㄌㄧ4"
+ ],
+ "𩯽": [
+ "ㄌㄚ4"
+ ],
+ "𩰀": [
+ "ㄔㄨㄥ1"
+ ],
+ "𩰃": [
+ "ㄓㄢ4"
+ ],
+ "𩰍": [
+ "ㄅㄧㄢ4"
+ ],
+ "𩰎": [
+ "ㄨㄥ1"
+ ],
+ "𩰓": [
+ "ㄏㄨㄥ4"
+ ],
+ "𩰗": [
+ "ㄆㄧㄣ1"
+ ],
+ "𩰙": [
+ "ㄙㄜ4"
+ ],
+ "𩰞": [
+ "ㄋㄧ3"
+ ],
+ "𩰟": [
+ "ㄈㄣ1"
+ ],
+ "𩰠": [
+ "ㄒㄩ3"
+ ],
+ "𩰢": [
+ "ㄕ3"
+ ],
+ "𩰤": [
+ "ㄐㄩ4"
+ ],
+ "𩰨": [
+ "ㄐㄩㄝ2"
+ ],
+ "𩰪": [
+ "ㄩ4"
+ ],
+ "𩰬": [
+ "ㄍㄨㄛ1",
+ "ㄨㄞ1"
+ ],
+ "𩰭": [
+ "ㄍㄨㄛ1"
+ ],
+ "𩰯": [
+ "ㄏㄨ2"
+ ],
+ "𩰲": [
+ "ㄌㄧ4",
+ "ㄈㄟ4"
+ ],
+ "𩰳": [
+ "ㄒㄧㄝ2"
+ ],
+ "𩰴": [
+ "ㄦ2"
+ ],
+ "𩰵": [
+ "ㄩㄢ2"
+ ],
+ "𩰶": [
+ "ㄏㄞ2",
+ "ㄅㄣ4"
+ ],
+ "𩰹": [
+ "ㄐㄧㄥ4"
+ ],
+ "𩰻": [
+ "ㄎㄜ4"
+ ],
+ "𩰽": [
+ "ㄗㄨㄥ1"
+ ],
+ "𩰾": [
+ "ㄈㄟ4"
+ ],
+ "𩱀": [
+ "ㄆㄥ1"
+ ],
+ "𩱁": [
+ "ㄍㄥ1"
+ ],
+ "𩱃": [
+ "ㄐㄧㄢ1"
+ ],
+ "𩱄": [
+ "ㄋㄧ2"
+ ],
+ "𩱆": [
+ "ㄒㄧㄢ2"
+ ],
+ "𩱇": [
+ "ㄌㄧ4"
+ ],
+ "𩱈": [
+ "ㄔㄠ3"
+ ],
+ "𩱊": [
+ "ㄦ2",
+ "ㄒㄧㄢ4"
+ ],
+ "𩱋": [
+ "ㄍㄥ1",
+ "ㄆㄥ1"
+ ],
+ "𩱌": [
+ "ㄩ4"
+ ],
+ "𩱍": [
+ "ㄏㄨ2"
+ ],
+ "𩱎": [
+ "ㄈㄟ4"
+ ],
+ "𩱏": [
+ "ㄠ2"
+ ],
+ "𩱓": [
+ "ㄦ3"
+ ],
+ "𩱘": [
+ "ㄎㄜ4"
+ ],
+ "𩱙": [
+ "ㄎㄨ4"
+ ],
+ "𩱚": [
+ "ㄅㄛ2"
+ ],
+ "𩱝": [
+ "ㄧㄝ4"
+ ],
+ "𩱞": [
+ "ㄐㄧㄠ4"
+ ],
+ "𩱦": [
+ "ㄔㄠ3"
+ ],
+ "𩱧": [
+ "ㄍㄥ1"
+ ],
+ "𩱨": [
+ "ㄖㄨ4"
+ ],
+ "𩱪": [
+ "ㄩㄝ4"
+ ],
+ "𩱬": [
+ "ㄌㄧㄣ2"
+ ],
+ "𩱱": [
+ "ㄩ4"
+ ],
+ "𩱲": [
+ "ㄩㄝ4"
+ ],
+ "𩱳": [
+ "ㄓㄞ1"
+ ],
+ "𩱴": [
+ "ㄒㄧㄠ1"
+ ],
+ "𩱷": [
+ "ㄇㄧㄝ4"
+ ],
+ "𩱻": [
+ "ㄍㄨㄟ3"
+ ],
+ "𩱼": [
+ "ㄐㄧㄡ1"
+ ],
+ "𩱾": [
+ "ㄊㄨㄛ4"
+ ],
+ "𩲁": [
+ "ㄒㄧ2"
+ ],
+ "𩲂": [
+ "ㄨㄟ3"
+ ],
+ "𩲃": [
+ "ㄓㄨㄛ2"
+ ],
+ "𩲄": [
+ "ㄨㄟ4"
+ ],
+ "𩲅": [
+ "ㄎㄨㄟ2"
+ ],
+ "𩲈": [
+ "ㄇㄟ4",
+ "ㄨㄟ2"
+ ],
+ "𩲊": [
+ "ㄏㄠ4"
+ ],
+ "𩲋": [
+ "ㄏㄤ1"
+ ],
+ "𩲌": [
+ "ㄈㄤ1"
+ ],
+ "𩲍": [
+ "ㄋㄧㄡ2"
+ ],
+ "𩲎": [
+ "ㄧㄡ4"
+ ],
+ "𩲏": [
+ "ㄏㄨㄚ4"
+ ],
+ "𩲒": [
+ "ㄌㄤ4"
+ ],
+ "𩲠": [
+ "ㄓㄨ2"
+ ],
+ "𩲡": [
+ "ㄍㄨㄟ3"
+ ],
+ "𩲢": [
+ "ㄅㄧ4",
+ "ㄇㄟ4"
+ ],
+ "𩲣": [
+ "ㄐㄧㄚ3"
+ ],
+ "𩲤": [
+ "ㄊㄧㄠ2"
+ ],
+ "𩲦": [
+ "ㄌㄩ4"
+ ],
+ "𩲧": [
+ "ㄎㄨㄥ3"
+ ],
+ "𩲨": [
+ "ㄗㄨㄟ3"
+ ],
+ "𩲩": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩲪": [
+ "ㄑㄧ2"
+ ],
+ "𩲬": [
+ "ㄓㄨ2"
+ ],
+ "𩲱": [
+ "ㄍㄨ3"
+ ],
+ "𩲲": [
+ "ㄗㄨ4"
+ ],
+ "𩲴": [
+ "ㄧㄤ1"
+ ],
+ "𩲵": [
+ "ㄙㄨ1"
+ ],
+ "𩲷": [
+ "ㄎㄨㄟ2"
+ ],
+ "𩲹": [
+ "ㄔㄤ1"
+ ],
+ "𩲻": [
+ "ㄧㄠ2"
+ ],
+ "𩲾": [
+ "ㄩ4"
+ ],
+ "𩳅": [
+ "ㄕㄨ1"
+ ],
+ "𩳆": [
+ "ㄌㄞ4"
+ ],
+ "𩳇": [
+ "ㄧ4"
+ ],
+ "𩳈": [
+ "ㄉㄡ1"
+ ],
+ "𩳌": [
+ "ㄨ2"
+ ],
+ "𩳍": [
+ "ㄧㄥ3"
+ ],
+ "𩳎": [
+ "ㄈㄨ2"
+ ],
+ "𩳏": [
+ "ㄓㄨㄢ4"
+ ],
+ "𩳐": [
+ "ㄈㄨ3"
+ ],
+ "𩳒": [
+ "ㄙㄨ4"
+ ],
+ "𩳓": [
+ "ㄌㄧ3"
+ ],
+ "𩳔": [
+ "ㄧㄠ4"
+ ],
+ "𩳕": [
+ "ㄊㄨㄟ4",
+ "ㄊㄧ4"
+ ],
+ "𩳝": [
+ "ㄍㄨㄟ4"
+ ],
+ "𩳡": [
+ "ㄌㄩ4"
+ ],
+ "𩳢": [
+ "ㄧㄢ4"
+ ],
+ "𩳣": [
+ "ㄑㄧ2"
+ ],
+ "𩳤": [
+ "ㄌㄤ4",
+ "ㄔㄤ1"
+ ],
+ "𩳥": [
+ "ㄓㄨ2"
+ ],
+ "𩳧": [
+ "ㄍㄨㄟ3"
+ ],
+ "𩳨": [
+ "ㄏㄨ1"
+ ],
+ "𩳯": [
+ "ㄐㄧㄥ1"
+ ],
+ "𩳲": [
+ "ㄔ3"
+ ],
+ "𩳵": [
+ "ㄐㄩ2"
+ ],
+ "𩳶": [
+ "ㄓㄚ2"
+ ],
+ "𩳸": [
+ "ㄇㄧㄠ2"
+ ],
+ "𩴀": [
+ "ㄓㄨ1"
+ ],
+ "𩴁": [
+ "ㄍㄢ1"
+ ],
+ "𩴂": [
+ "ㄒㄩㄥ1"
+ ],
+ "𩴃": [
+ "ㄐㄧ2"
+ ],
+ "𩴇": [
+ "ㄕㄞ4"
+ ],
+ "𩴈": [
+ "ㄇㄟ4"
+ ],
+ "𩴉": [
+ "ㄩㄣ4"
+ ],
+ "𩴍": [
+ "ㄕㄡ4"
+ ],
+ "𩴐": [
+ "ㄌㄩ4"
+ ],
+ "𩴑": [
+ "ㄧㄡ4"
+ ],
+ "𩴒": [
+ "ㄐㄧㄤ4"
+ ],
+ "𩴓": [
+ "ㄋㄨㄛ2"
+ ],
+ "𩴘": [
+ "ㄐㄩ4"
+ ],
+ "𩴙": [
+ "ㄧㄡ4"
+ ],
+ "𩴜": [
+ "ㄧ4"
+ ],
+ "𩴝": [
+ "ㄊㄥ2"
+ ],
+ "𩴞": [
+ "ㄨㄟ2"
+ ],
+ "𩴟": [
+ "ㄔㄜ3"
+ ],
+ "𩴠": [
+ "ㄌㄧㄣ4"
+ ],
+ "𩴡": [
+ "ㄍㄨ4"
+ ],
+ "𩴣": [
+ "ㄌㄧ4"
+ ],
+ "𩴤": [
+ "ㄌㄧㄠ4"
+ ],
+ "𩴧": [
+ "ㄐㄧㄠ1"
+ ],
+ "𩴨": [
+ "ㄧㄤ2"
+ ],
+ "𩴩": [
+ "ㄅㄧㄠ1"
+ ],
+ "𩴪": [
+ "ㄑㄧ2"
+ ],
+ "𩴮": [
+ "ㄧ4"
+ ],
+ "𩴱": [
+ "ㄅㄧㄣ1"
+ ],
+ "𩴲": [
+ "ㄇㄥ2"
+ ],
+ "𩴳": [
+ "ㄔㄚ4"
+ ],
+ "𩴵": [
+ "ㄍㄢ1"
+ ],
+ "𩴹": [
+ "ㄑㄩ2"
+ ],
+ "𩴺": [
+ "ㄉㄧ2"
+ ],
+ "𩴻": [
+ "ㄌㄟ2"
+ ],
+ "𩵀": [
+ "ㄌㄧㄥ2"
+ ],
+ "𩵄": [
+ "ㄏㄨㄢ1"
+ ],
+ "𩵅": [
+ "ㄑㄩ2"
+ ],
+ "𩵇": [
+ "ㄌㄨㄛ2"
+ ],
+ "𩵉": [
+ "ㄎㄨㄟ2"
+ ],
+ "𩵍": [
+ "ㄑㄧㄡ2"
+ ],
+ "𩵎": [
+ "ㄩ3",
+ "ㄩ2"
+ ],
+ "𩵏": [
+ "ㄏㄨㄚ4"
+ ],
+ "𩵓": [
+ "ㄌㄟ4"
+ ],
+ "𩵕": [
+ "ㄖㄣ4",
+ "ㄉㄠ1"
+ ],
+ "𩵖": [
+ "ㄒㄧㄠ3"
+ ],
+ "𩵗": [
+ "ㄙ4"
+ ],
+ "𩵚": [
+ "ㄉㄨ4"
+ ],
+ "𩵛": [
+ "ㄅㄧㄝ1"
+ ],
+ "𩵠": [
+ "ㄋㄧㄡ2",
+ "ㄨㄟ3"
+ ],
+ "𩵢": [
+ "ㄏㄜ4",
+ "ㄗㄚ1"
+ ],
+ "𩵣": [
+ "ㄆㄟ1"
+ ],
+ "𩵥": [
+ "ㄈㄟ4"
+ ],
+ "𩵦": [
+ "ㄇㄨ4"
+ ],
+ "𩵩": [
+ "ㄈㄨ1"
+ ],
+ "𩵬": [
+ "ㄏㄨ2"
+ ],
+ "𩵭": [
+ "ㄨㄤ2"
+ ],
+ "𩵮": [
+ "ㄕㄚ1",
+ "ㄒㄧㄠ3"
+ ],
+ "𩵰": [
+ "ㄐㄧㄠ1",
+ "ㄑㄧㄡ1"
+ ],
+ "𩵱": [
+ "ㄨ3"
+ ],
+ "𩵹": [
+ "ㄈㄨ4"
+ ],
+ "𩶁": [
+ "ㄅㄧㄥ3"
+ ],
+ "𩶂": [
+ "ㄓㄨ4"
+ ],
+ "𩶄": [
+ "ㄓㄨ2"
+ ],
+ "𩶅": [
+ "ㄔ1"
+ ],
+ "𩶇": [
+ "ㄕㄣ3"
+ ],
+ "𩶈": [
+ "ㄏㄨ1"
+ ],
+ "𩶉": [
+ "ㄅㄨ1"
+ ],
+ "𩶎": [
+ "ㄖㄢ3"
+ ],
+ "𩶖": [
+ "ㄇㄨ4"
+ ],
+ "𩶘": [
+ "ㄌㄧ4"
+ ],
+ "𩶛": [
+ "ㄐㄧㄚ1"
+ ],
+ "𩶞": [
+ "ㄇㄚ4",
+ "ㄏㄤ2"
+ ],
+ "𩶡": [
+ "ㄇㄥ2"
+ ],
+ "𩶢": [
+ "ㄇㄡ2"
+ ],
+ "𩶣": [
+ "ㄓㄡ1"
+ ],
+ "𩶤": [
+ "ㄒㄧㄢ3"
+ ],
+ "𩶥": [
+ "ㄏㄨㄟ3",
+ "ㄏㄨㄥ2"
+ ],
+ "𩶦": [
+ "ㄍㄨㄞ4"
+ ],
+ "𩶧": [
+ "ㄐㄧㄡ4"
+ ],
+ "𩶩": [
+ "ㄇㄨ4"
+ ],
+ "𩶫": [
+ "ㄖㄨ4",
+ "ㄒㄩㄝ4"
+ ],
+ "𩶭": [
+ "ㄨ2"
+ ],
+ "𩶯": [
+ "ㄖㄨ2"
+ ],
+ "𩶱": [
+ "ㄓㄚ4"
+ ],
+ "𩷁": [
+ "ㄋㄨㄛ3"
+ ],
+ "𩷂": [
+ "ㄒㄧㄝ2"
+ ],
+ "𩷄": [
+ "ㄐㄧㄤ4"
+ ],
+ "𩷋": [
+ "ㄌㄧ3"
+ ],
+ "𩷌": [
+ "ㄕㄨ1"
+ ],
+ "𩷍": [
+ "ㄧ4"
+ ],
+ "𩷎": [
+ "ㄉㄧ2"
+ ],
+ "𩷏": [
+ "ㄑㄧㄥ2"
+ ],
+ "𩷐": [
+ "ㄐㄩ2"
+ ],
+ "𩷓": [
+ "ㄓ4"
+ ],
+ "𩷕": [
+ "ㄌㄤ2"
+ ],
+ "𩷖": [
+ "ㄅㄨ4"
+ ],
+ "𩷗": [
+ "ㄎㄨㄤ2"
+ ],
+ "𩷘": [
+ "ㄧ4"
+ ],
+ "𩷚": [
+ "ㄅㄛ2"
+ ],
+ "𩷧": [
+ "ㄔ4"
+ ],
+ "𩷭": [
+ "ㄐㄧㄤ4"
+ ],
+ "𩷯": [
+ "ㄨㄛ4"
+ ],
+ "𩷰": [
+ "ㄒㄩㄣ4"
+ ],
+ "𩷵": [
+ "ㄊㄨㄣ1"
+ ],
+ "𩷶": [
+ "ㄇㄤ2"
+ ],
+ "𩷸": [
+ "ㄈㄤ2"
+ ],
+ "𩷹": [
+ "ㄓㄨㄛ2"
+ ],
+ "𩷻": [
+ "ㄑㄧㄚ4"
+ ],
+ "𩷽": [
+ "ㄊㄚ3"
+ ],
+ "𩷾": [
+ "ㄑㄧ2"
+ ],
+ "𩸀": [
+ "ㄆㄥ4"
+ ],
+ "𩸁": [
+ "ㄅㄧㄝ1"
+ ],
+ "𩸂": [
+ "ㄈㄣ4",
+ "ㄆㄣ4"
+ ],
+ "𩸃": [
+ "ㄊㄨ4"
+ ],
+ "𩸄": [
+ "ㄏㄨㄚ4"
+ ],
+ "𩸇": [
+ "ㄜ4"
+ ],
+ "𩸋": [
+ "ㄜ4",
+ "ㄧㄚ1"
+ ],
+ "𩸎": [
+ "ㄉㄧㄥ4"
+ ],
+ "𩸐": [
+ "ㄖㄨ2"
+ ],
+ "𩸖": [
+ "ㄜ4"
+ ],
+ "𩸞": [
+ "ㄧㄢ4",
+ "ㄑㄧ2"
+ ],
+ "𩸟": [
+ "ㄙ4"
+ ],
+ "𩸥": [
+ "ㄧㄥ2"
+ ],
+ "𩸦": [
+ "ㄋㄧ2"
+ ],
+ "𩸧": [
+ "ㄋㄧ2"
+ ],
+ "𩸨": [
+ "ㄧ2"
+ ],
+ "𩸹": [
+ "ㄇㄧ2"
+ ],
+ "𩸾": [
+ "ㄧㄝ2"
+ ],
+ "𩸿": [
+ "ㄆㄛ1"
+ ],
+ "𩹀": [
+ "ㄘㄡ4"
+ ],
+ "𩹂": [
+ "ㄨㄟ4"
+ ],
+ "𩹄": [
+ "ㄏㄞ4"
+ ],
+ "𩹅": [
+ "ㄧㄥ1"
+ ],
+ "𩹇": [
+ "ㄊㄧㄥ2"
+ ],
+ "𩹈": [
+ "ㄓ4"
+ ],
+ "𩹉": [
+ "ㄈㄟ1"
+ ],
+ "𩹊": [
+ "ㄧㄡ2"
+ ],
+ "𩹍": [
+ "ㄎㄨㄟ2"
+ ],
+ "𩹎": [
+ "ㄢ4"
+ ],
+ "𩹏": [
+ "ㄅㄚ4"
+ ],
+ "𩹑": [
+ "ㄏㄢ4"
+ ],
+ "𩹞": [
+ "ㄋㄢ2"
+ ],
+ "𩹟": [
+ "ㄋㄞ4"
+ ],
+ "𩹢": [
+ "ㄐㄧㄥ1"
+ ],
+ "𩹥": [
+ "ㄨㄟ1"
+ ],
+ "𩹱": [
+ "ㄔㄨ4"
+ ],
+ "𩹳": [
+ "ㄙㄨㄛ3"
+ ],
+ "𩹴": [
+ "ㄊㄠ1"
+ ],
+ "𩹵": [
+ "ㄑㄧ2"
+ ],
+ "𩹶": [
+ "ㄊㄤ2"
+ ],
+ "𩹷": [
+ "ㄨㄟ3"
+ ],
+ "𩹸": [
+ "ㄍㄢ3"
+ ],
+ "𩹺": [
+ "ㄍㄜ2"
+ ],
+ "𩹼": [
+ "ㄏㄢ4"
+ ],
+ "𩹾": [
+ "ㄋㄚ4"
+ ],
+ "𩹿": [
+ "ㄍㄜ2"
+ ],
+ "𩺄": [
+ "ㄓㄥ1"
+ ],
+ "𩺗": [
+ "ㄊㄚ3",
+ "ㄉㄚ2"
+ ],
+ "𩺛": [
+ "ㄙ1"
+ ],
+ "𩺝": [
+ "ㄋㄧ4"
+ ],
+ "𩺞": [
+ "ㄙㄤ3"
+ ],
+ "𩺫": [
+ "ㄒㄧㄝ2"
+ ],
+ "𩺯": [
+ "ㄗㄨ2"
+ ],
+ "𩺰": [
+ "ㄩ2",
+ "ㄨ2"
+ ],
+ "𩺱": [
+ "ㄋㄧ4"
+ ],
+ "𩺲": [
+ "ㄑㄧ1"
+ ],
+ "𩺵": [
+ "ㄕㄣ1"
+ ],
+ "𩺼": [
+ "ㄅㄨ1"
+ ],
+ "𩻋": [
+ "ㄎㄨㄣ1"
+ ],
+ "𩻌": [
+ "ㄌㄧ2"
+ ],
+ "𩻎": [
+ "ㄍㄨㄚ1"
+ ],
+ "𩻖": [
+ "ㄧㄢ3"
+ ],
+ "𩻗": [
+ "ㄅㄨ4"
+ ],
+ "𩻘": [
+ "ㄐㄧㄢ4"
+ ],
+ "𩻚": [
+ "ㄨ2"
+ ],
+ "𩻛": [
+ "ㄘㄣ2",
+ "ㄐㄧㄣ1"
+ ],
+ "𩻜": [
+ "ㄌㄧㄣ2"
+ ],
+ "𩻝": [
+ "ㄓㄨㄢ4"
+ ],
+ "𩻟": [
+ "ㄏㄨㄟ1"
+ ],
+ "𩻡": [
+ "ㄊㄨㄥ2"
+ ],
+ "𩻢": [
+ "ㄓㄚ3"
+ ],
+ "𩻤": [
+ "ㄏㄟ1"
+ ],
+ "𩻧": [
+ "ㄍㄨㄛ3"
+ ],
+ "𩻱": [
+ "ㄐㄧㄥ3"
+ ],
+ "𩻵": [
+ "ㄉㄧㄝ2"
+ ],
+ "𩻷": [
+ "ㄧㄥ2"
+ ],
+ "𩻼": [
+ "ㄓ4"
+ ],
+ "𩼂": [
+ "ㄨㄟ3"
+ ],
+ "𩼄": [
+ "ㄐㄧ4"
+ ],
+ "𩼅": [
+ "ㄖㄨㄥ3"
+ ],
+ "𩼈": [
+ "ㄠ4",
+ "ㄧㄡ3"
+ ],
+ "𩼉": [
+ "ㄉㄤ1",
+ "ㄏㄢ1"
+ ],
+ "𩼊": [
+ "ㄌㄨㄛ2"
+ ],
+ "𩼋": [
+ "ㄧㄝ4"
+ ],
+ "𩼌": [
+ "ㄨㄟ1"
+ ],
+ "𩼒": [
+ "ㄑㄧㄤ2"
+ ],
+ "𩼙": [
+ "ㄍㄜ2"
+ ],
+ "𩼚": [
+ "ㄐㄧ4"
+ ],
+ "𩼦": [
+ "ㄗㄡ4"
+ ],
+ "𩼨": [
+ "ㄧ2"
+ ],
+ "𩼫": [
+ "ㄓㄚ3"
+ ],
+ "𩼭": [
+ "ㄌㄧㄝ4"
+ ],
+ "𩼴": [
+ "ㄧㄝ4"
+ ],
+ "𩼼": [
+ "ㄓㄢ1"
+ ],
+ "𩽀": [
+ "ㄔㄡ2"
+ ],
+ "𩽁": [
+ "ㄅㄧㄠ1"
+ ],
+ "𩽆": [
+ "ㄒㄩ4"
+ ],
+ "𩽇": [
+ "ㄧㄡ1"
+ ],
+ "𩽍": [
+ "ㄒㄧㄝ4"
+ ],
+ "𩽎": [
+ "ㄨㄟ2"
+ ],
+ "𩽏": [
+ "ㄌㄧ4"
+ ],
+ "𩽛": [
+ "ㄅㄛ2"
+ ],
+ "𩽜": [
+ "ㄐㄧㄢ3"
+ ],
+ "𩽝": [
+ "ㄔㄢ2"
+ ],
+ "𩽞": [
+ "ㄎㄨㄣ1"
+ ],
+ "𩽡": [
+ "ㄑㄧㄥ2"
+ ],
+ "𩽧": [
+ "ㄕㄨㄤ1"
+ ],
+ "𩽨": [
+ "ㄒㄧ1"
+ ],
+ "𩽩": [
+ "ㄑㄩ2"
+ ],
+ "𩽰": [
+ "ㄌㄨㄛ2"
+ ],
+ "𩽳": [
+ "ㄉㄤ3"
+ ],
+ "𩽴": [
+ "ㄋㄧㄢ2"
+ ],
+ "𩽵": [
+ "ㄌㄧ3"
+ ],
+ "𩽷": [
+ "ㄅㄚ4"
+ ],
+ "𩽹": [
+ "ㄜ4"
+ ],
+ "𩽺": [
+ "ㄈㄨ1"
+ ],
+ "𩽻": [
+ "ㄈㄨ4"
+ ],
+ "𩽼": [
+ "ㄏㄨㄣ3"
+ ],
+ "𩽽": [
+ "ㄓㄚ4"
+ ],
+ "𩽾": [
+ "ㄢ1"
+ ],
+ "𩾁": [
+ "ㄑㄧㄡ2"
+ ],
+ "𩾂": [
+ "ㄔㄡ2"
+ ],
+ "𩾃": [
+ "ㄇㄧㄢ3"
+ ],
+ "𩾄": [
+ "ㄒㄩㄣ4"
+ ],
+ "𩾅": [
+ "ㄊㄨ4"
+ ],
+ "𩾆": [
+ "ㄋㄧ2"
+ ],
+ "𩾇": [
+ "ㄏㄨ5"
+ ],
+ "𩾈": [
+ "ㄕㄨ1"
+ ],
+ "𩾊": [
+ "ㄒㄩ1"
+ ],
+ "𩾋": [
+ "ㄓㄨㄥ4"
+ ],
+ "𩾌": [
+ "ㄎㄤ1"
+ ],
+ "𩾒": [
+ "ㄒㄧㄠ1"
+ ],
+ "𩾓": [
+ "ㄒㄧㄠ1"
+ ],
+ "𩾔": [
+ "ㄘ4"
+ ],
+ "𩾕": [
+ "ㄔ4"
+ ],
+ "𩾗": [
+ "ㄉㄧㄠ1",
+ "ㄐㄧㄠ1"
+ ],
+ "𩾘": [
+ "ㄧ4"
+ ],
+ "𩾚": [
+ "ㄉㄧㄥ1"
+ ],
+ "𩾝": [
+ "ㄏㄢ4",
+ "ㄧㄢ4"
+ ],
+ "𩾞": [
+ "ㄨㄢ2"
+ ],
+ "𩾠": [
+ "ㄧ3"
+ ],
+ "𩾡": [
+ "ㄅㄠ4"
+ ],
+ "𩾢": [
+ "ㄧ4",
+ "ㄩㄢ1"
+ ],
+ "𩾧": [
+ "ㄒㄩㄣ4"
+ ],
+ "𩾬": [
+ "ㄒㄧㄤ2"
+ ],
+ "𩾳": [
+ "ㄅㄧ2"
+ ],
+ "𩾶": [
+ "ㄐㄧㄝ2"
+ ],
+ "𩾷": [
+ "ㄍㄜ1"
+ ],
+ "𩾸": [
+ "ㄗㄜ4",
+ "ㄧㄢ4"
+ ],
+ "𩾺": [
+ "ㄓㄣ4"
+ ],
+ "𩾻": [
+ "ㄏㄨ2"
+ ],
+ "𩾼": [
+ "ㄒㄧ1"
+ ],
+ "𩾽": [
+ "ㄒㄧㄣ1"
+ ],
+ "𩾾": [
+ "ㄒㄧㄠ1",
+ "ㄐㄧㄠ1"
+ ],
+ "𩾿": [
+ "ㄈㄨ4"
+ ],
+ "𩿀": [
+ "ㄓㄨㄥ4"
+ ],
+ "𩿂": [
+ "ㄇㄠ4"
+ ],
+ "𩿃": [
+ "ㄒㄧㄣ1"
+ ],
+ "𩿄": [
+ "ㄑㄧㄤ1"
+ ],
+ "𩿈": [
+ "ㄈㄣ2",
+ "ㄈㄣ1"
+ ],
+ "𩿉": [
+ "ㄅㄢ1"
+ ],
+ "𩿊": [
+ "ㄏㄨㄢ1"
+ ],
+ "𩿑": [
+ "ㄐㄧㄠ1"
+ ],
+ "𩿓": [
+ "ㄅㄠ4"
+ ],
+ "𩿔": [
+ "ㄧㄚ1"
+ ],
+ "𩿕": [
+ "ㄧㄠ2"
+ ],
+ "𩿛": [
+ "ㄒㄧ4"
+ ],
+ "𩿝": [
+ "ㄐㄩ4"
+ ],
+ "𩿟": [
+ "ㄑㄩ4"
+ ],
+ "𩿠": [
+ "ㄩㄝ4"
+ ],
+ "𩿡": [
+ "ㄊㄞ2"
+ ],
+ "𩿢": [
+ "ㄊㄡ3"
+ ],
+ "𩿣": [
+ "ㄇㄛ4"
+ ],
+ "𩿤": [
+ "ㄓㄚ2"
+ ],
+ "𩿥": [
+ "ㄑㄩ2"
+ ],
+ "𩿧": [
+ "ㄈㄨ1"
+ ],
+ "𩿩": [
+ "ㄑㄩ2",
+ "ㄉㄨㄛ2"
+ ],
+ "𩿪": [
+ "ㄔ4"
+ ],
+ "𩿬": [
+ "ㄧㄡ2"
+ ],
+ "𩿷": [
+ "ㄊㄧ2"
+ ],
+ "𩿺": [
+ "ㄨㄚ1"
+ ],
+ "𩿽": [
+ "ㄊㄨㄛ2"
+ ],
+ "𩿿": [
+ "ㄔㄨ2"
+ ],
+ "𪀁": [
+ "ㄍㄜ1"
+ ],
+ "𪀈": [
+ "ㄩㄢ1"
+ ],
+ "𪀉": [
+ "ㄍㄜ1",
+ "ㄎㄜ3"
+ ],
+ "𪀊": [
+ "ㄑㄩ2"
+ ],
+ "𪀏": [
+ "ㄐㄩ4",
+ "ㄐㄧㄡ1"
+ ],
+ "𪀒": [
+ "ㄉㄧㄝ2"
+ ],
+ "𪀓": [
+ "ㄧ2"
+ ],
+ "𪀔": [
+ "ㄕ1"
+ ],
+ "𪀕": [
+ "ㄧ4"
+ ],
+ "𪀗": [
+ "ㄍㄨㄟ3"
+ ],
+ "𪀘": [
+ "ㄐㄧㄤ4"
+ ],
+ "𪀚": [
+ "ㄙㄨㄥ1"
+ ],
+ "𪀛": [
+ "ㄑㄩㄥ2"
+ ],
+ "𪀝": [
+ "ㄜ4",
+ "ㄩㄢ1"
+ ],
+ "𪀞": [
+ "ㄏㄨㄤ1"
+ ],
+ "𪀟": [
+ "ㄏㄨㄟ2"
+ ],
+ "𪀠": [
+ "ㄒㄩㄣ2"
+ ],
+ "𪀣": [
+ "ㄐㄩ2"
+ ],
+ "𪀥": [
+ "ㄓㄞ2"
+ ],
+ "𪀦": [
+ "ㄔ4"
+ ],
+ "𪀧": [
+ "ㄌㄠ3"
+ ],
+ "𪀩": [
+ "ㄑㄧ2",
+ "ㄉㄢ4",
+ "ㄔㄨ2"
+ ],
+ "𪀪": [
+ "ㄒㄧㄡ1"
+ ],
+ "𪀬": [
+ "ㄏㄨㄟ1"
+ ],
+ "𪀭": [
+ "ㄊㄨㄥ2"
+ ],
+ "𪀺": [
+ "ㄈㄨ4"
+ ],
+ "𪀽": [
+ "ㄒㄩㄣ2",
+ "ㄒㄧㄣ1"
+ ],
+ "𪀾": [
+ "ㄐㄧㄝ2"
+ ],
+ "𪀿": [
+ "ㄇㄧ3"
+ ],
+ "𪁀": [
+ "ㄩ4"
+ ],
+ "𪁈": [
+ "ㄓㄨㄤ1",
+ "ㄓㄨㄤ4"
+ ],
+ "𪁉": [
+ "ㄐㄧㄠ1"
+ ],
+ "𪁊": [
+ "ㄓ4",
+ "ㄓㄜ2"
+ ],
+ "𪁋": [
+ "ㄔㄥ2"
+ ],
+ "𪁍": [
+ "ㄐㄧㄝ2"
+ ],
+ "𪁎": [
+ "ㄒㄧㄠ1"
+ ],
+ "𪁏": [
+ "ㄔㄣ2"
+ ],
+ "𪁐": [
+ "ㄌㄧ2"
+ ],
+ "𪁑": [
+ "ㄩㄝ4"
+ ],
+ "𪁓": [
+ "ㄓ4"
+ ],
+ "𪁔": [
+ "ㄌㄠ2"
+ ],
+ "𪁕": [
+ "ㄨㄛ4"
+ ],
+ "𪁖": [
+ "ㄑㄩ2"
+ ],
+ "𪁘": [
+ "ㄨㄤ1"
+ ],
+ "𪁚": [
+ "ㄧ1"
+ ],
+ "𪁛": [
+ "ㄧ4"
+ ],
+ "𪁜": [
+ "ㄌㄤ2"
+ ],
+ "𪁞": [
+ "ㄊㄡ2"
+ ],
+ "𪁟": [
+ "ㄢ1",
+ "ㄏㄢ4"
+ ],
+ "𪁠": [
+ "ㄐㄩㄝ2"
+ ],
+ "𪁡": [
+ "ㄧㄢ4"
+ ],
+ "𪁥": [
+ "ㄐㄩ4"
+ ],
+ "𪁧": [
+ "ㄓㄣ4",
+ "ㄔㄣ2"
+ ],
+ "𪁩": [
+ "ㄓ4",
+ "ㄊㄧ2"
+ ],
+ "𪁪": [
+ "ㄇㄤ3"
+ ],
+ "𪁮": [
+ "ㄒㄧㄡ4"
+ ],
+ "𪁱": [
+ "ㄔㄨㄤ2"
+ ],
+ "𪁲": [
+ "ㄔㄨ1"
+ ],
+ "𪁸": [
+ "ㄑㄧㄤ1"
+ ],
+ "𪁹": [
+ "ㄈㄟ1"
+ ],
+ "𪁺": [
+ "ㄔㄤ2",
+ "ㄔㄤ3"
+ ],
+ "𪁼": [
+ "ㄇㄧㄢ2"
+ ],
+ "𪁽": [
+ "ㄙㄨ4"
+ ],
+ "𪁾": [
+ "ㄠ3",
+ "ㄨㄛ4"
+ ],
+ "𪂀": [
+ "ㄈㄨ3"
+ ],
+ "𪂄": [
+ "ㄨㄟ4"
+ ],
+ "𪂅": [
+ "ㄓ1"
+ ],
+ "𪂆": [
+ "ㄇㄧㄣ2"
+ ],
+ "𪂇": [
+ "ㄔㄤ1"
+ ],
+ "𪂈": [
+ "ㄧㄢ2"
+ ],
+ "𪂉": [
+ "ㄩ4"
+ ],
+ "𪂋": [
+ "ㄈㄨ4"
+ ],
+ "𪂌": [
+ "ㄊㄚ4"
+ ],
+ "𪂍": [
+ "ㄐㄧ3"
+ ],
+ "𪂏": [
+ "ㄈㄟ4"
+ ],
+ "𪂒": [
+ "ㄏㄨ2"
+ ],
+ "𪂓": [
+ "ㄐㄩ1"
+ ],
+ "𪂕": [
+ "ㄩ3"
+ ],
+ "𪂛": [
+ "ㄑㄧ2"
+ ],
+ "𪂜": [
+ "ㄇㄟ2"
+ ],
+ "𪂟": [
+ "ㄅㄧㄝ1"
+ ],
+ "𪂠": [
+ "ㄍㄨㄛ3"
+ ],
+ "𪂤": [
+ "ㄇㄧㄥ4"
+ ],
+ "𪂦": [
+ "ㄨㄢ3",
+ "ㄩㄢ1"
+ ],
+ "𪂧": [
+ "ㄨㄢ3"
+ ],
+ "𪂴": [
+ "ㄐㄧㄥ1"
+ ],
+ "𪂵": [
+ "ㄩ4"
+ ],
+ "𪂶": [
+ "ㄒㄧㄢ2"
+ ],
+ "𪂹": [
+ "ㄔㄨㄣ1"
+ ],
+ "𪂺": [
+ "ㄐㄧ2"
+ ],
+ "𪂼": [
+ "ㄒㄧㄤ1"
+ ],
+ "𪂽": [
+ "ㄆㄣ2"
+ ],
+ "𪂾": [
+ "ㄈㄨ4"
+ ],
+ "𪃂": [
+ "ㄌㄧㄡ2"
+ ],
+ "𪃄": [
+ "ㄙㄞ1"
+ ],
+ "𪃅": [
+ "ㄒㄩㄝ1"
+ ],
+ "𪃆": [
+ "ㄗㄡ4"
+ ],
+ "𪃈": [
+ "ㄐㄧㄝ2"
+ ],
+ "𪃋": [
+ "ㄓㄢ1",
+ "ㄐㄧㄢ1"
+ ],
+ "𪃍": [
+ "ㄩ2"
+ ],
+ "𪃎": [
+ "ㄩ2"
+ ],
+ "𪃏": [
+ "ㄇㄟ2"
+ ],
+ "𪃐": [
+ "ㄇㄧㄠ3"
+ ],
+ "𪃑": [
+ "ㄇㄠ4"
+ ],
+ "𪃒": [
+ "ㄉㄨㄛ2"
+ ],
+ "𪃓": [
+ "ㄈㄨ4"
+ ],
+ "𪃛": [
+ "ㄐㄧㄢ4"
+ ],
+ "𪃦": [
+ "ㄇㄧㄠ2"
+ ],
+ "𪃨": [
+ "ㄠ1"
+ ],
+ "𪃭": [
+ "ㄎㄜ4"
+ ],
+ "𪃶": [
+ "ㄏㄡ2"
+ ],
+ "𪃺": [
+ "ㄍㄡ4"
+ ],
+ "𪃼": [
+ "ㄒㄧ1"
+ ],
+ "𪃾": [
+ "ㄖㄨㄥ2"
+ ],
+ "𪃿": [
+ "ㄍㄜ1"
+ ],
+ "𪄀": [
+ "ㄆㄢ2"
+ ],
+ "𪄁": [
+ "ㄩㄢ2"
+ ],
+ "𪄂": [
+ "ㄒㄧㄚ4"
+ ],
+ "𪄅": [
+ "ㄕㄚ1"
+ ],
+ "𪄆": [
+ "ㄆㄧ1",
+ "ㄆㄧ2"
+ ],
+ "𪄈": [
+ "ㄑㄧㄥ2"
+ ],
+ "𪄉": [
+ "ㄩㄥ1"
+ ],
+ "𪄊": [
+ "ㄑㄩ2"
+ ],
+ "𪄌": [
+ "ㄍㄨㄥ4"
+ ],
+ "𪄎": [
+ "ㄍㄜ2"
+ ],
+ "𪄏": [
+ "ㄒㄧㄢ1"
+ ],
+ "𪄑": [
+ "ㄙㄨ4"
+ ],
+ "𪄕": [
+ "ㄅㄢ1"
+ ],
+ "𪄖": [
+ "ㄑㄧ2"
+ ],
+ "𪄗": [
+ "ㄏㄡ4"
+ ],
+ "𪄛": [
+ "ㄒㄧ1"
+ ],
+ "𪄝": [
+ "ㄨ1"
+ ],
+ "𪄭": [
+ "ㄑㄧ1"
+ ],
+ "𪄮": [
+ "ㄏㄨ4",
+ "ㄍㄨ4"
+ ],
+ "𪄯": [
+ "ㄍㄨㄟ1"
+ ],
+ "𪄱": [
+ "ㄉㄧ2"
+ ],
+ "𪄲": [
+ "ㄕㄤ1"
+ ],
+ "𪄳": [
+ "ㄇㄞ4"
+ ],
+ "𪄴": [
+ "ㄇㄧㄣ3"
+ ],
+ "𪄵": [
+ "ㄐㄧ4"
+ ],
+ "𪄶": [
+ "ㄒㄧ2"
+ ],
+ "𪄷": [
+ "ㄒㄧㄢ1"
+ ],
+ "𪄸": [
+ "ㄐㄧ2"
+ ],
+ "𪄹": [
+ "ㄔㄤ2"
+ ],
+ "𪄺": [
+ "ㄎㄡ4"
+ ],
+ "𪄻": [
+ "ㄔㄨㄥ1",
+ "ㄓㄨㄤ1"
+ ],
+ "𪅂": [
+ "ㄓㄤ1"
+ ],
+ "𪅃": [
+ "ㄆㄧㄠ3",
+ "ㄆㄧㄠ1"
+ ],
+ "𪅄": [
+ "ㄙㄨ4"
+ ],
+ "𪅅": [
+ "ㄌㄩㄝ4"
+ ],
+ "𪅆": [
+ "ㄌㄧ2"
+ ],
+ "𪅇": [
+ "ㄇㄥ4"
+ ],
+ "𪅈": [
+ "ㄔㄨㄥ1"
+ ],
+ "𪅉": [
+ "ㄊㄧㄢ1"
+ ],
+ "𪅋": [
+ "ㄌㄧㄥ2"
+ ],
+ "𪅍": [
+ "ㄔ4"
+ ],
+ "𪅖": [
+ "ㄔㄨㄥ1",
+ "ㄓㄨㄤ1"
+ ],
+ "𪅙": [
+ "ㄔ4"
+ ],
+ "𪅝": [
+ "ㄋㄧㄠ3"
+ ],
+ "𪅟": [
+ "ㄩㄥ2"
+ ],
+ "𪅮": [
+ "ㄇㄧ4"
+ ],
+ "𪅰": [
+ "ㄕㄨ1"
+ ],
+ "𪅲": [
+ "ㄒㄧ4"
+ ],
+ "𪅴": [
+ "ㄜ4"
+ ],
+ "𪅵": [
+ "ㄗ1"
+ ],
+ "𪅸": [
+ "ㄐㄧㄝ2"
+ ],
+ "𪅹": [
+ "ㄐㄧ1"
+ ],
+ "𪅺": [
+ "ㄏㄡ1"
+ ],
+ "𪅻": [
+ "ㄕㄥ4"
+ ],
+ "𪅼": [
+ "ㄌㄧ4"
+ ],
+ "𪅾": [
+ "ㄑㄧ1"
+ ],
+ "𪆀": [
+ "ㄓㄡ1"
+ ],
+ "𪆁": [
+ "ㄙ1"
+ ],
+ "𪆂": [
+ "ㄑㄩ2"
+ ],
+ "𪆋": [
+ "ㄒㄧㄝ2"
+ ],
+ "𪆗": [
+ "ㄙ1"
+ ],
+ "𪆛": [
+ "ㄒㄩ1"
+ ],
+ "𪆠": [
+ "ㄈㄨ4"
+ ],
+ "𪆯": [
+ "ㄋㄨㄥ2"
+ ],
+ "𪆰": [
+ "ㄧㄚ4"
+ ],
+ "𪆱": [
+ "ㄌㄧㄡ2"
+ ],
+ "𪆲": [
+ "ㄐㄧㄚ3",
+ "ㄓㄢ1"
+ ],
+ "𪆳": [
+ "ㄍㄨㄟ1"
+ ],
+ "𪆴": [
+ "ㄎㄨㄟ2"
+ ],
+ "𪆵": [
+ "ㄔ4"
+ ],
+ "𪆶": [
+ "ㄘㄢ4"
+ ],
+ "𪆷": [
+ "ㄔㄨ2"
+ ],
+ "𪆹": [
+ "ㄍㄨㄛ1"
+ ],
+ "𪆻": [
+ "ㄉㄢ3"
+ ],
+ "𪆿": [
+ "ㄐㄧㄢ4"
+ ],
+ "𪇁": [
+ "ㄉㄤ1"
+ ],
+ "𪇂": [
+ "ㄏㄡ4"
+ ],
+ "𪇄": [
+ "ㄎㄡ4",
+ "ㄎㄨ1"
+ ],
+ "𪇆": [
+ "ㄔㄨ4",
+ "ㄉㄨ2"
+ ],
+ "𪇇": [
+ "ㄑㄧㄢ1"
+ ],
+ "𪇈": [
+ "ㄞ4"
+ ],
+ "𪇊": [
+ "ㄆㄧ4"
+ ],
+ "𪇑": [
+ "ㄒㄩㄣ4"
+ ],
+ "𪇒": [
+ "ㄐㄧㄥ1"
+ ],
+ "𪇓": [
+ "ㄇㄥ4"
+ ],
+ "𪇕": [
+ "ㄅㄧㄣ1"
+ ],
+ "𪇖": [
+ "ㄌㄢ2"
+ ],
+ "𪇗": [
+ "ㄍㄨ3"
+ ],
+ "𪇘": [
+ "ㄔㄡ2",
+ "ㄊㄠ2"
+ ],
+ "𪇛": [
+ "ㄩㄥ1"
+ ],
+ "𪇜": [
+ "ㄍㄨㄚ2"
+ ],
+ "𪇝": [
+ "ㄩ2"
+ ],
+ "𪇞": [
+ "ㄓㄡ4"
+ ],
+ "𪇭": [
+ "ㄘㄞ4"
+ ],
+ "𪇯": [
+ "ㄌㄧㄡ2"
+ ],
+ "𪇰": [
+ "ㄅㄨ3"
+ ],
+ "𪇱": [
+ "ㄌㄨㄛ4"
+ ],
+ "𪇲": [
+ "ㄐㄧㄝ2"
+ ],
+ "𪇳": [
+ "ㄓㄣ1"
+ ],
+ "𪇴": [
+ "ㄇㄧㄝ4"
+ ],
+ "𪇵": [
+ "ㄍㄨㄤ3"
+ ],
+ "𪇷": [
+ "ㄐㄧㄚ2"
+ ],
+ "𪇹": [
+ "ㄌㄚ4"
+ ],
+ "𪈀": [
+ "ㄕㄡ4"
+ ],
+ "𪈃": [
+ "ㄍㄨㄛ1"
+ ],
+ "𪈆": [
+ "ㄇㄥ4"
+ ],
+ "𪈇": [
+ "ㄑㄧㄢ2"
+ ],
+ "𪈈": [
+ "ㄌㄞ4"
+ ],
+ "𪈊": [
+ "ㄏㄜ2"
+ ],
+ "𪈋": [
+ "ㄊㄨㄢ2"
+ ],
+ "𪈑": [
+ "ㄏㄨㄟ1"
+ ],
+ "𪈘": [
+ "ㄏㄨㄥ1"
+ ],
+ "𪈜": [
+ "ㄌㄩ3"
+ ],
+ "𪈟": [
+ "ㄐㄧㄚ2"
+ ],
+ "𪈥": [
+ "ㄍㄨㄟ1"
+ ],
+ "𪈨": [
+ "ㄧ1"
+ ],
+ "𪈩": [
+ "ㄏㄨㄢ1"
+ ],
+ "𪈰": [
+ "ㄌㄨㄛ2"
+ ],
+ "𪈴": [
+ "ㄐㄩㄝ2"
+ ],
+ "𪈸": [
+ "ㄍㄨㄢ4"
+ ],
+ "𪈻": [
+ "ㄑㄩㄢ2"
+ ],
+ "𪈼": [
+ "ㄋㄧㄠ3"
+ ],
+ "𪈿": [
+ "ㄇㄢ2"
+ ],
+ "𪉂": [
+ "ㄩㄣ4"
+ ],
+ "𪉃": [
+ "ㄨㄣ2"
+ ],
+ "𪉄": [
+ "ㄔ4"
+ ],
+ "𪉅": [
+ "ㄔ4"
+ ],
+ "𪉆": [
+ "ㄓ1"
+ ],
+ "𪉈": [
+ "ㄘ2"
+ ],
+ "𪉉": [
+ "ㄓㄨㄤ4"
+ ],
+ "𪉊": [
+ "ㄏㄨㄚ2"
+ ],
+ "𪉋": [
+ "ㄐㄧㄝ2"
+ ],
+ "𪉌": [
+ "ㄑㄩ2"
+ ],
+ "𪉍": [
+ "ㄊㄨ1"
+ ],
+ "𪉎": [
+ "ㄇㄧㄣ2"
+ ],
+ "𪉏": [
+ "ㄇㄟ2"
+ ],
+ "𪉐": [
+ "ㄩ2"
+ ],
+ "𪉑": [
+ "ㄠ2"
+ ],
+ "𪉒": [
+ "ㄅㄢ1"
+ ],
+ "𪉔": [
+ "ㄆㄧ1"
+ ],
+ "𪉕": [
+ "ㄓㄣ1"
+ ],
+ "𪉖": [
+ "ㄌㄨ3"
+ ],
+ "𪉗": [
+ "ㄔ4"
+ ],
+ "𪉘": [
+ "ㄊㄡ2"
+ ],
+ "𪉚": [
+ "ㄐㄧㄝ1"
+ ],
+ "𪉜": [
+ "ㄓㄢ1"
+ ],
+ "𪉢": [
+ "ㄐㄧㄣ1"
+ ],
+ "𪉣": [
+ "ㄌㄨ3"
+ ],
+ "𪉦": [
+ "ㄐㄧㄢ4",
+ "ㄐㄧㄢ3",
+ "ㄍㄢ4"
+ ],
+ "𪉧": [
+ "ㄊㄢ4"
+ ],
+ "𪉨": [
+ "ㄔㄤ1"
+ ],
+ "𪉪": [
+ "ㄘ4"
+ ],
+ "𪉭": [
+ "ㄨㄞ1"
+ ],
+ "𪉮": [
+ "ㄘㄡ4"
+ ],
+ "𪉯": [
+ "ㄎㄢ4"
+ ],
+ "𪉱": [
+ "ㄅㄧㄢ4"
+ ],
+ "𪉸": [
+ "ㄨㄣ1"
+ ],
+ "𪉻": [
+ "ㄑㄧㄢ1"
+ ],
+ "𪉿": [
+ "ㄍㄢ4"
+ ],
+ "𪊂": [
+ "ㄏㄨㄟ4"
+ ],
+ "𪊄": [
+ "ㄍㄢ3",
+ "ㄍㄢ4"
+ ],
+ "𪊆": [
+ "ㄐㄧ4"
+ ],
+ "𪊇": [
+ "ㄍㄢ4",
+ "ㄊㄢ4"
+ ],
+ "𪊉": [
+ "ㄏㄨㄞ2"
+ ],
+ "𪊍": [
+ "ㄙ4"
+ ],
+ "𪊐": [
+ "ㄈㄨ1"
+ ],
+ "𪊕": [
+ "ㄆㄧ2"
+ ],
+ "𪊗": [
+ "ㄘㄚ1"
+ ],
+ "𪊜": [
+ "ㄅㄣ4"
+ ],
+ "𪊢": [
+ "ㄕ2",
+ "ㄕ3"
+ ],
+ "𪊥": [
+ "ㄏㄨㄢ2"
+ ],
+ "𪊧": [
+ "ㄍㄨㄟ1"
+ ],
+ "𪊪": [
+ "ㄡ3"
+ ],
+ "𪊳": [
+ "ㄆㄠ2"
+ ],
+ "𪊵": [
+ "ㄧㄥ3"
+ ],
+ "𪊶": [
+ "ㄊㄧㄥ3"
+ ],
+ "𪊷": [
+ "ㄒㄧㄠ4"
+ ],
+ "𪊹": [
+ "ㄓㄨ4"
+ ],
+ "𪊻": [
+ "ㄩ2"
+ ],
+ "𪋁": [
+ "ㄐㄧㄢ4"
+ ],
+ "𪋄": [
+ "ㄑㄩ3"
+ ],
+ "𪋅": [
+ "ㄨㄢ3"
+ ],
+ "𪋆": [
+ "ㄎㄨㄣ1"
+ ],
+ "𪋇": [
+ "ㄓㄨㄟ1"
+ ],
+ "𪋉": [
+ "ㄩ4"
+ ],
+ "𪋊": [
+ "ㄍㄨㄛ3"
+ ],
+ "𪋋": [
+ "ㄆㄧㄥ2"
+ ],
+ "𪋌": [
+ "ㄗㄨㄟ3"
+ ],
+ "𪋍": [
+ "ㄗㄨ2"
+ ],
+ "𪋏": [
+ "ㄓㄨ1"
+ ],
+ "𪋐": [
+ "ㄋㄨㄢ4"
+ ],
+ "𪋑": [
+ "ㄓㄨ1"
+ ],
+ "𪋖": [
+ "ㄆㄧㄠ1"
+ ],
+ "𪋗": [
+ "ㄇㄧ2"
+ ],
+ "𪋜": [
+ "ㄅㄧ4"
+ ],
+ "𪋝": [
+ "ㄙㄨ4"
+ ],
+ "𪋡": [
+ "ㄆㄨ2"
+ ],
+ "𪋢": [
+ "ㄇㄧ2"
+ ],
+ "𪋫": [
+ "ㄧㄝ4"
+ ],
+ "𪋬": [
+ "ㄩ3"
+ ],
+ "𪋮": [
+ "ㄩ4"
+ ],
+ "𪋰": [
+ "ㄓㄨ3"
+ ],
+ "𪋳": [
+ "ㄌㄧㄥ2"
+ ],
+ "𪋺": [
+ "ㄋㄡ4"
+ ],
+ "𪋾": [
+ "ㄌㄧㄥ2"
+ ],
+ "𪌀": [
+ "ㄌㄧㄠ3"
+ ],
+ "𪌂": [
+ "ㄊㄨㄛ1"
+ ],
+ "𪌄": [
+ "ㄅㄧ3"
+ ],
+ "𪌅": [
+ "ㄋㄚ4"
+ ],
+ "𪌆": [
+ "ㄑㄩ2"
+ ],
+ "𪌈": [
+ "ㄆㄧ2"
+ ],
+ "𪌉": [
+ "ㄉㄡ3"
+ ],
+ "𪌊": [
+ "ㄋㄧㄝ4"
+ ],
+ "𪌋": [
+ "ㄊㄨㄣ2"
+ ],
+ "𪌍": [
+ "ㄐㄧ1"
+ ],
+ "𪌏": [
+ "ㄌㄧㄥ2"
+ ],
+ "𪌓": [
+ "ㄎㄨ4"
+ ],
+ "𪌔": [
+ "ㄙㄨ4"
+ ],
+ "𪌘": [
+ "ㄊㄡ3"
+ ],
+ "𪌞": [
+ "ㄋㄞ2"
+ ],
+ "𪌟": [
+ "ㄗㄜ2"
+ ],
+ "𪌢": [
+ "ㄊㄨㄥ3"
+ ],
+ "𪌣": [
+ "ㄍㄜ2"
+ ],
+ "𪌤": [
+ "ㄉㄨㄟ1"
+ ],
+ "𪌧": [
+ "ㄐㄧㄝ2"
+ ],
+ "𪌩": [
+ "ㄊㄧㄢ2"
+ ],
+ "𪌪": [
+ "ㄊㄧㄠ4"
+ ],
+ "𪌫": [
+ "ㄔ2"
+ ],
+ "𪌬": [
+ "ㄑㄩ1",
+ "ㄔㄠ3"
+ ],
+ "𪌮": [
+ "ㄕㄚ1",
+ "ㄙㄨㄛ1"
+ ],
+ "𪌰": [
+ "ㄅㄛ2"
+ ],
+ "𪌱": [
+ "ㄌㄧ2"
+ ],
+ "𪌳": [
+ "ㄌㄨㄛ4"
+ ],
+ "𪌵": [
+ "ㄌㄧㄠ2"
+ ],
+ "𪌶": [
+ "ㄕㄨ4"
+ ],
+ "𪌷": [
+ "ㄉㄥ3"
+ ],
+ "𪌹": [
+ "ㄔ1"
+ ],
+ "𪌺": [
+ "ㄇㄧㄝ4"
+ ],
+ "𪌼": [
+ "ㄊㄠ2"
+ ],
+ "𪌽": [
+ "ㄏㄨㄣ2"
+ ],
+ "𪌿": [
+ "ㄋㄧㄝ2"
+ ],
+ "𪍁": [
+ "ㄐㄩㄣ4"
+ ],
+ "𪍂": [
+ "ㄏㄨ4"
+ ],
+ "𪍄": [
+ "ㄌㄨ4"
+ ],
+ "𪍅": [
+ "ㄧㄝ4"
+ ],
+ "𪍇": [
+ "ㄇㄛ4",
+ "ㄔㄠ3",
+ "ㄇㄞ4"
+ ],
+ "𪍈": [
+ "ㄔㄠ4"
+ ],
+ "𪍌": [
+ "ㄙㄨㄛ4"
+ ],
+ "𪍎": [
+ "ㄎㄜ1"
+ ],
+ "𪍏": [
+ "ㄈㄨ4"
+ ],
+ "𪍑": [
+ "ㄔㄠ3"
+ ],
+ "𪍔": [
+ "ㄙㄨㄛ3"
+ ],
+ "𪍗": [
+ "ㄑㄧㄡ1"
+ ],
+ "𪍛": [
+ "ㄙㄨ4",
+ "ㄒㄧㄝ4"
+ ],
+ "𪍝": [
+ "ㄩㄣ4"
+ ],
+ "𪍟": [
+ "ㄙㄨㄛ3"
+ ],
+ "𪍠": [
+ "ㄎㄨ1"
+ ],
+ "𪍡": [
+ "ㄅㄛ2"
+ ],
+ "𪍣": [
+ "ㄌㄡ3"
+ ],
+ "𪍤": [
+ "ㄇㄛ4"
+ ],
+ "𪍦": [
+ "ㄌㄧㄢ3"
+ ],
+ "𪍧": [
+ "ㄒㄩㄢ4"
+ ],
+ "𪍨": [
+ "ㄙㄨㄛ3"
+ ],
+ "𪍩": [
+ "ㄇㄢ2"
+ ],
+ "𪍪": [
+ "ㄅㄧ4"
+ ],
+ "𪍲": [
+ "ㄊㄧ4"
+ ],
+ "𪍴": [
+ "ㄌㄧㄢ2"
+ ],
+ "𪍵": [
+ "ㄊㄢ2"
+ ],
+ "𪍶": [
+ "ㄕㄢ4"
+ ],
+ "𪍸": [
+ "ㄑㄩ2"
+ ],
+ "𪍹": [
+ "ㄉㄨ2"
+ ],
+ "𪍺": [
+ "ㄏㄨㄢ2",
+ "ㄏㄨㄢ4"
+ ],
+ "𪍻": [
+ "ㄙㄠ4"
+ ],
+ "𪍿": [
+ "ㄎㄨㄤ4"
+ ],
+ "𪎃": [
+ "ㄋㄧㄝ4"
+ ],
+ "𪎅": [
+ "ㄋㄧㄝ4"
+ ],
+ "𪎆": [
+ "ㄌㄨㄛ2"
+ ],
+ "𪎇": [
+ "ㄗㄨㄛ2"
+ ],
+ "𪎈": [
+ "ㄧ4"
+ ],
+ "𪎉": [
+ "ㄒㄧㄢ4"
+ ],
+ "𪎊": [
+ "ㄔㄠ3"
+ ],
+ "𪎋": [
+ "ㄊㄧㄝ4"
+ ],
+ "𪎒": [
+ "ㄕㄨㄛ4"
+ ],
+ "𪎔": [
+ "ㄇㄧ3"
+ ],
+ "𪎗": [
+ "ㄇㄧ2"
+ ],
+ "𪎛": [
+ "ㄨㄢ3"
+ ],
+ "𪎝": [
+ "ㄅㄣ4"
+ ],
+ "𪎞": [
+ "ㄑㄧㄤ1"
+ ],
+ "𪎠": [
+ "ㄇㄛ3"
+ ],
+ "𪎣": [
+ "ㄌㄧㄡ2"
+ ],
+ "𪎤": [
+ "ㄨㄛ4"
+ ],
+ "𪎦": [
+ "ㄇㄟ3"
+ ],
+ "𪎨": [
+ "ㄊㄡ2"
+ ],
+ "𪎫": [
+ "ㄇㄨ3"
+ ],
+ "𪎭": [
+ "ㄇㄟ2"
+ ],
+ "𪎲": [
+ "ㄗㄨㄛ4"
+ ],
+ "𪎴": [
+ "ㄊㄨㄣ2"
+ ],
+ "𪎵": [
+ "ㄎㄤ4"
+ ],
+ "𪎶": [
+ "ㄊㄨㄣ2"
+ ],
+ "𪎺": [
+ "ㄔㄜ4"
+ ],
+ "𪎻": [
+ "ㄓㄥ4"
+ ],
+ "𪎽": [
+ "ㄔㄨㄥ1"
+ ],
+ "𪎾": [
+ "ㄊㄧㄢ1"
+ ],
+ "𪏀": [
+ "ㄓ4"
+ ],
+ "𪏁": [
+ "ㄔㄢ2"
+ ],
+ "𪏂": [
+ "ㄔㄢ2"
+ ],
+ "𪏅": [
+ "ㄑㄧㄥ1"
+ ],
+ "𪏆": [
+ "ㄊㄨㄣ1"
+ ],
+ "𪏇": [
+ "ㄏㄨㄟ3"
+ ],
+ "𪏈": [
+ "ㄑㄩㄝ4"
+ ],
+ "𪏉": [
+ "ㄓㄢ1"
+ ],
+ "𪏊": [
+ "ㄐㄧㄢ1",
+ "ㄇㄧㄢ3"
+ ],
+ "𪏋": [
+ "ㄔㄢ2"
+ ],
+ "𪏍": [
+ "ㄏㄨㄤ2"
+ ],
+ "𪏏": [
+ "ㄏㄨㄟ1"
+ ],
+ "𪏐": [
+ "ㄔ2"
+ ],
+ "𪏒": [
+ "ㄏㄨㄤ2"
+ ],
+ "𪏓": [
+ "ㄏㄥ2"
+ ],
+ "𪏔": [
+ "ㄩㄣ3"
+ ],
+ "𪏖": [
+ "ㄊㄨㄢ1"
+ ],
+ "𪏗": [
+ "ㄅㄧㄢ1"
+ ],
+ "𪏙": [
+ "ㄏㄨㄤ2"
+ ],
+ "𪏚": [
+ "ㄩㄣ3"
+ ],
+ "𪏟": [
+ "ㄇㄛ4"
+ ],
+ "𪏠": [
+ "ㄍㄨㄥ1"
+ ],
+ "𪏢": [
+ "ㄍㄨㄥ1"
+ ],
+ "𪏤": [
+ "ㄍㄨㄟ4"
+ ],
+ "𪏦": [
+ "ㄔㄢ2"
+ ],
+ "𪏨": [
+ "ㄑㄩㄝ4"
+ ],
+ "𪏩": [
+ "ㄖㄨㄟ4"
+ ],
+ "𪏪": [
+ "ㄎㄨㄤ4"
+ ],
+ "𪏫": [
+ "ㄆㄧㄠ4"
+ ],
+ "𪏮": [
+ "ㄖㄨ3"
+ ],
+ "𪏲": [
+ "ㄋㄧㄡ3"
+ ],
+ "𪏳": [
+ "ㄏㄨ4"
+ ],
+ "𪏴": [
+ "ㄐㄧㄣ3"
+ ],
+ "𪏵": [
+ "ㄋㄧ4",
+ "ㄌㄧ2"
+ ],
+ "𪏶": [
+ "ㄅㄠ4"
+ ],
+ "𪏸": [
+ "ㄋㄧ3",
+ "ㄔ1"
+ ],
+ "𪏺": [
+ "ㄅㄧ4"
+ ],
+ "𪏻": [
+ "ㄏㄨ2"
+ ],
+ "𪏼": [
+ "ㄌㄧ2"
+ ],
+ "𪏿": [
+ "ㄓㄨ1"
+ ],
+ "𪐀": [
+ "ㄋㄚ3"
+ ],
+ "𪐂": [
+ "ㄑㄩㄢ3"
+ ],
+ "𪐃": [
+ "ㄈㄥ3"
+ ],
+ "𪐄": [
+ "ㄅㄧ3"
+ ],
+ "𪐅": [
+ "ㄌㄧ2"
+ ],
+ "𪐆": [
+ "ㄅㄧㄝ2"
+ ],
+ "𪐇": [
+ "ㄋㄧㄢ2"
+ ],
+ "𪐈": [
+ "ㄉㄨㄥ3"
+ ],
+ "𪐋": [
+ "ㄌㄧㄢ2"
+ ],
+ "𪐌": [
+ "ㄋㄧ4"
+ ],
+ "𪐍": [
+ "ㄌㄧㄢ2"
+ ],
+ "𪐎": [
+ "ㄇㄚ2"
+ ],
+ "𪐏": [
+ "ㄓㄜ2",
+ "ㄓ2"
+ ],
+ "𪐓": [
+ "ㄐㄧㄚ1"
+ ],
+ "𪐔": [
+ "ㄧ2"
+ ],
+ "𪐖": [
+ "ㄌㄨㄥ3"
+ ],
+ "𪐘": [
+ "ㄧ4",
+ "ㄧㄢ1"
+ ],
+ "𪐝": [
+ "ㄉㄞ4",
+ "ㄊㄞ4"
+ ],
+ "𪐞": [
+ "ㄉㄨ4"
+ ],
+ "𪐣": [
+ "ㄧ3"
+ ],
+ "𪐥": [
+ "ㄊㄞ4"
+ ],
+ "𪐦": [
+ "ㄏㄤ1"
+ ],
+ "𪐧": [
+ "ㄕㄨ4"
+ ],
+ "𪐬": [
+ "ㄨㄢ2"
+ ],
+ "𪐮": [
+ "ㄙㄨ4"
+ ],
+ "𪐯": [
+ "ㄧㄠ3"
+ ],
+ "𪐰": [
+ "ㄦ4"
+ ],
+ "𪐲": [
+ "ㄓㄣ4"
+ ],
+ "𪐺": [
+ "ㄉㄡ4"
+ ],
+ "𪐻": [
+ "ㄐㄧㄢ1"
+ ],
+ "𪐿": [
+ "ㄆㄤ1"
+ ],
+ "𪑀": [
+ "ㄏㄨㄟ1"
+ ],
+ "𪑂": [
+ "ㄔㄚ4"
+ ],
+ "𪑃": [
+ "ㄕㄢ1"
+ ],
+ "𪑄": [
+ "ㄌㄨ2"
+ ],
+ "𪑆": [
+ "ㄩ4"
+ ],
+ "𪑈": [
+ "ㄧㄢ4"
+ ],
+ "𪑉": [
+ "ㄨㄢ3"
+ ],
+ "𪑊": [
+ "ㄑㄧㄠ4"
+ ],
+ "𪑋": [
+ "ㄌㄨㄛ1"
+ ],
+ "𪑌": [
+ "ㄩ4"
+ ],
+ "𪑏": [
+ "ㄊㄨ2"
+ ],
+ "𪑐": [
+ "ㄨㄟ4"
+ ],
+ "𪑒": [
+ "ㄊㄨㄣ4"
+ ],
+ "𪑕": [
+ "ㄏㄨㄣ3"
+ ],
+ "𪑖": [
+ "ㄅㄣ1"
+ ],
+ "𪑗": [
+ "ㄑㄧㄝ4"
+ ],
+ "𪑙": [
+ "ㄐㄧㄣ1",
+ "ㄑㄧㄢ2"
+ ],
+ "𪑚": [
+ "ㄌㄞ2",
+ "ㄌㄧ2"
+ ],
+ "𪑜": [
+ "ㄓ3"
+ ],
+ "𪑝": [
+ "ㄩ2"
+ ],
+ "𪑟": [
+ "ㄘ4"
+ ],
+ "𪑦": [
+ "ㄧㄝ4"
+ ],
+ "𪑧": [
+ "ㄉㄧㄝ2"
+ ],
+ "𪑨": [
+ "ㄔㄚ4"
+ ],
+ "𪑩": [
+ "ㄉㄧㄢ4"
+ ],
+ "𪑪": [
+ "ㄇㄢ2"
+ ],
+ "𪑬": [
+ "ㄉㄥ4"
+ ],
+ "𪑭": [
+ "ㄨㄟ1"
+ ],
+ "𪑮": [
+ "ㄋㄧㄢ3"
+ ],
+ "𪑯": [
+ "ㄌㄟ4"
+ ],
+ "𪑰": [
+ "ㄅㄧㄥ1"
+ ],
+ "𪑱": [
+ "ㄨ1",
+ "ㄨㄛ4"
+ ],
+ "𪑳": [
+ "ㄓㄣ3"
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+ ],
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+ "ㄨㄞ4"
+ ],
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+ "ㄇㄧ4",
+ "ㄧㄢ1"
+ ],
+ "𪑹": [
+ "ㄐㄧㄝ4"
+ ],
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+ "ㄏㄡ2"
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+ "𪑽": [
+ "ㄓㄞ4"
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+ "ㄖㄨ3"
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+ "ㄗ1"
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+ "𪒀": [
+ "ㄆㄢ2"
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+ "𪒂": [
+ "ㄇㄛ4"
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+ "ㄇㄧ4"
+ ],
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+ "ㄑㄧ1"
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+ "ㄇㄛ4"
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+ "ㄓ1"
+ ],
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+ "ㄆㄢ2"
+ ],
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+ "ㄇㄧㄝ4"
+ ],
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+ "ㄌㄨ4"
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+ "𪒑": [
+ "ㄑㄧ1"
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+ "ㄔㄨㄥ1"
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+ "ㄌㄧ2"
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+ "𪒕": [
+ "ㄧ4"
+ ],
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+ "ㄉㄥ4"
+ ],
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+ "ㄘㄨㄛ1"
+ ],
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+ "ㄉㄨㄟ4"
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+ "ㄇㄚ4"
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+ "𪒝": [
+ "ㄧㄢ3"
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+ "𪒟": [
+ "ㄗㄥ4"
+ ],
+ "𪒠": [
+ "ㄧㄢ3",
+ "ㄢ3",
+ "ㄢ4"
+ ],
+ "𪒡": [
+ "ㄉㄨㄟ4",
+ "ㄉㄞ4"
+ ],
+ "𪒢": [
+ "ㄆㄨ1"
+ ],
+ "𪒥": [
+ "ㄩㄝ4"
+ ],
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+ "ㄏㄨㄛ4"
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+ "𪒪": [
+ "ㄇㄞ4"
+ ],
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+ "ㄐㄧㄢ3"
+ ],
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+ "ㄋㄨㄥ2"
+ ],
+ "𪒭": [
+ "ㄑㄧㄣ2"
+ ],
+ "𪒯": [
+ "ㄑㄧㄣ2"
+ ],
+ "𪒲": [
+ "ㄧㄝ4"
+ ],
+ "𪒴": [
+ "ㄊㄞ2"
+ ],
+ "𪒹": [
+ "ㄐㄧㄢ1"
+ ],
+ "𪒼": [
+ "ㄔㄚ2"
+ ],
+ "𪒾": [
+ "ㄉㄢ4"
+ ],
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+ "ㄊㄥ2"
+ ],
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+ "ㄌㄧ4"
+ ],
+ "𪓃": [
+ "ㄋㄧㄤ3"
+ ],
+ "𪓄": [
+ "ㄔㄢ2"
+ ],
+ "𪓅": [
+ "ㄗㄤ1"
+ ],
+ "𪓊": [
+ "ㄩ4"
+ ],
+ "𪓌": [
+ "ㄗㄨㄟ4"
+ ],
+ "𪓍": [
+ "ㄅㄧㄢ1"
+ ],
+ "𪓐": [
+ "ㄔㄨ3"
+ ],
+ "𪓘": [
+ "ㄖㄢ2"
+ ],
+ "𪓚": [
+ "ㄖㄢ2"
+ ],
+ "𪓛": [
+ "ㄧㄤ1"
+ ],
+ "𪓜": [
+ "ㄅㄛ3"
+ ],
+ "𪓡": [
+ "ㄘㄨ4"
+ ],
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+ "ㄇㄧ2"
+ ],
+ "𪓮": [
+ "ㄎㄜ3"
+ ],
+ "𪓰": [
+ "ㄘㄨ4"
+ ],
+ "𪓷": [
+ "ㄒㄧ2"
+ ],
+ "𪓹": [
+ "ㄇㄚ2"
+ ],
+ "𪓻": [
+ "ㄕ1"
+ ],
+ "𪓼": [
+ "ㄉㄧㄢ1"
+ ],
+ "𪓿": [
+ "ㄕ1"
+ ],
+ "𪔂": [
+ "ㄉㄧㄥ3"
+ ],
+ "𪔃": [
+ "ㄐㄩㄥ1"
+ ],
+ "𪔅": [
+ "ㄩㄢ2"
+ ],
+ "𪔆": [
+ "ㄍㄢ1"
+ ],
+ "𪔊": [
+ "ㄏㄨㄟ4"
+ ],
+ "𪔋": [
+ "ㄐㄧ1"
+ ],
+ "𪔍": [
+ "ㄆㄥ2"
+ ],
+ "𪔏": [
+ "ㄉㄥ1"
+ ],
+ "𪔑": [
+ "ㄅㄥ4"
+ ],
+ "𪔔": [
+ "ㄆㄤ1",
+ "ㄆㄥ2"
+ ],
+ "𪔕": [
+ "ㄊㄚ4",
+ "ㄌㄨㄥ2"
+ ],
+ "𪔗": [
+ "ㄩㄢ1"
+ ],
+ "𪔘": [
+ "ㄍㄠ1"
+ ],
+ "𪔙": [
+ "ㄩㄢ1"
+ ],
+ "𪔟": [
+ "ㄐㄧㄚ1"
+ ],
+ "𪔣": [
+ "ㄎㄨㄥ1"
+ ],
+ "𪔦": [
+ "ㄉㄨㄥ4"
+ ],
+ "𪔩": [
+ "ㄒㄧㄢ2"
+ ],
+ "𪔪": [
+ "ㄑㄧ4"
+ ],
+ "𪔬": [
+ "ㄙㄤ1"
+ ],
+ "𪔰": [
+ "ㄧㄣ4"
+ ],
+ "𪔳": [
+ "ㄌㄨㄥ2"
+ ],
+ "𪔶": [
+ "ㄊㄥ1"
+ ],
+ "𪔷": [
+ "ㄌㄨㄥ2"
+ ],
+ "𪔺": [
+ "ㄖㄣ4"
+ ],
+ "𪔽": [
+ "ㄧㄣ4"
+ ],
+ "𪔾": [
+ "ㄆㄧㄥ2"
+ ],
+ "𪔿": [
+ "ㄆㄨ1"
+ ],
+ "𪕀": [
+ "ㄩㄢ2"
+ ],
+ "𪕁": [
+ "ㄖㄨㄥ3",
+ "ㄔㄣ2"
+ ],
+ "𪕃": [
+ "ㄈㄤ1"
+ ],
+ "𪕇": [
+ "ㄏㄤ1"
+ ],
+ "𪕈": [
+ "ㄇㄧ2"
+ ],
+ "𪕉": [
+ "ㄏㄨ2"
+ ],
+ "𪕊": [
+ "ㄗ1"
+ ],
+ "𪕌": [
+ "ㄌㄧㄥ2"
+ ],
+ "𪕍": [
+ "ㄐㄩㄥ1"
+ ],
+ "𪕎": [
+ "ㄖㄨㄥ3"
+ ],
+ "𪕒": [
+ "ㄆㄧㄥ2"
+ ],
+ "𪕓": [
+ "ㄍㄨㄤ1"
+ ],
+ "𪕔": [
+ "ㄦ3"
+ ],
+ "𪕝": [
+ "ㄘㄨ4"
+ ],
+ "𪕞": [
+ "ㄐㄩㄣ4"
+ ],
+ "𪕦": [
+ "ㄒㄧㄡ3"
+ ],
+ "𪕨": [
+ "ㄦ2"
+ ],
+ "𪕩": [
+ "ㄊㄧ4"
+ ],
+ "𪕫": [
+ "ㄧㄤ2"
+ ],
+ "𪕭": [
+ "ㄞ4"
+ ],
+ "𪕮": [
+ "ㄏㄨ2"
+ ],
+ "𪕯": [
+ "ㄒㄧ2",
+ "ㄒㄧㄝ2"
+ ],
+ "𪕱": [
+ "ㄏㄨ2"
+ ],
+ "𪕳": [
+ "ㄙ1"
+ ],
+ "𪕴": [
+ "ㄌㄧ3"
+ ],
+ "𪕶": [
+ "ㄧ4"
+ ],
+ "𪕷": [
+ "ㄍㄨ3"
+ ],
+ "𪕹": [
+ "ㄊㄤ2"
+ ],
+ "𪖀": [
+ "ㄑㄩㄝ4"
+ ],
+ "𪖁": [
+ "ㄗㄨㄥ1"
+ ],
+ "𪖂": [
+ "ㄌㄧ2"
+ ],
+ "𪖄": [
+ "ㄐㄧㄠ4"
+ ],
+ "𪖇": [
+ "ㄈㄢ2"
+ ],
+ "𪖈": [
+ "ㄆㄨ2"
+ ],
+ "𪖉": [
+ "ㄙ1"
+ ],
+ "𪖋": [
+ "ㄐㄧㄝ2"
+ ],
+ "𪖌": [
+ "ㄌㄨ2"
+ ],
+ "𪖍": [
+ "ㄌㄧ4"
+ ],
+ "𪖎": [
+ "ㄔㄢ2"
+ ],
+ "𪖐": [
+ "ㄧㄠ4",
+ "ㄧㄚ4"
+ ],
+ "𪖕": [
+ "ㄏㄨㄟ1"
+ ],
+ "𪖙": [
+ "ㄏㄡ1"
+ ],
+ "𪖚": [
+ "ㄉㄧㄢ1"
+ ],
+ "𪖛": [
+ "ㄑㄧㄡ4"
+ ],
+ "𪖜": [
+ "ㄐㄩㄝ2"
+ ],
+ "𪖞": [
+ "ㄆㄧ4"
+ ],
+ "𪖢": [
+ "ㄎㄨㄟ1"
+ ],
+ "𪖥": [
+ "ㄒㄧ3"
+ ],
+ "𪖦": [
+ "ㄊㄧ1"
+ ],
+ "𪖩": [
+ "ㄒㄩ4"
+ ],
+ "𪖯": [
+ "ㄅㄧㄢ3"
+ ],
+ "𪖲": [
+ "ㄏㄜ1"
+ ],
+ "𪖳": [
+ "ㄌㄧㄢ2"
+ ],
+ "𪖶": [
+ "ㄙㄨ4"
+ ],
+ "𪖷": [
+ "ㄌㄧㄠ4"
+ ],
+ "𪖼": [
+ "ㄐㄧㄣ1"
+ ],
+ "𪗁": [
+ "ㄌㄧ4"
+ ],
+ "𪗂": [
+ "ㄔㄢ2"
+ ],
+ "𪗅": [
+ "ㄑㄧ2"
+ ],
+ "𪗆": [
+ "ㄑㄧ2"
+ ],
+ "𪗉": [
+ "ㄗ1"
+ ],
+ "𪗋": [
+ "ㄗ1"
+ ],
+ "𪗍": [
+ "ㄑㄧ2"
+ ],
+ "𪗏": [
+ "ㄑㄧ2"
+ ],
+ "𪗐": [
+ "ㄗ1"
+ ],
+ "𪗒": [
+ "ㄓㄞ1"
+ ],
+ "𪗓": [
+ "ㄓㄞ1"
+ ],
+ "𪗔": [
+ "ㄆㄚ4"
+ ],
+ "𪗖": [
+ "ㄐㄩ1"
+ ],
+ "𪗙": [
+ "ㄧㄢ3"
+ ],
+ "𪗜": [
+ "ㄏㄤ2"
+ ],
+ "𪗝": [
+ "ㄋㄚ4"
+ ],
+ "𪗤": [
+ "ㄧㄢ3"
+ ],
+ "𪗦": [
+ "ㄓㄢ4"
+ ],
+ "𪗧": [
+ "ㄕ3"
+ ],
+ "𪗨": [
+ "ㄓ2"
+ ],
+ "𪗭": [
+ "ㄓㄚ1"
+ ],
+ "𪗴": [
+ "ㄖㄨㄥ3"
+ ],
+ "𪗵": [
+ "ㄓㄚ1"
+ ],
+ "𪗷": [
+ "ㄧ4"
+ ],
+ "𪗸": [
+ "ㄇㄧㄥ2"
+ ],
+ "𪗹": [
+ "ㄧㄚ2"
+ ],
+ "𪗻": [
+ "ㄓ4"
+ ],
+ "𪗽": [
+ "ㄎㄨㄛ4",
+ "ㄏㄨㄚ2"
+ ],
+ "𪗾": [
+ "ㄒㄧㄚ2"
+ ],
+ "𪘀": [
+ "ㄆㄧㄢ2"
+ ],
+ "𪘁": [
+ "ㄊㄚ4",
+ "ㄒㄧㄚ2"
+ ],
+ "𪘃": [
+ "ㄧ3"
+ ],
+ "𪘆": [
+ "ㄒㄧㄡ1"
+ ],
+ "𪘇": [
+ "ㄓㄞ1"
+ ],
+ "𪘉": [
+ "ㄉㄨㄛ3"
+ ],
+ "𪘊": [
+ "ㄜ4"
+ ],
+ "𪘎": [
+ "ㄧㄣ2",
+ "ㄋㄧㄝ4"
+ ],
+ "𪘐": [
+ "ㄜ4"
+ ],
+ "𪘑": [
+ "ㄙㄨㄢ1"
+ ],
+ "𪘒": [
+ "ㄢ1"
+ ],
+ "𪘓": [
+ "ㄘㄨㄛ2"
+ ],
+ "𪘕": [
+ "ㄊㄨㄛ2"
+ ],
+ "𪘗": [
+ "ㄊㄨㄛ2"
+ ],
+ "𪘘": [
+ "ㄒㄧㄚ2"
+ ],
+ "𪘛": [
+ "ㄔㄨㄛ4"
+ ],
+ "𪘝": [
+ "ㄙㄨㄢ1"
+ ],
+ "𪘥": [
+ "ㄐㄧ4"
+ ],
+ "𪘦": [
+ "ㄑㄧㄢ3"
+ ],
+ "𪘧": [
+ "ㄗㄨ2"
+ ],
+ "𪘨": [
+ "ㄓㄞ1"
+ ],
+ "𪘩": [
+ "ㄩㄣ3",
+ "ㄎㄨㄣ3"
+ ],
+ "𪘪": [
+ "ㄓㄢ4"
+ ],
+ "𪘬": [
+ "ㄧ2",
+ "ㄧㄚ4",
+ "ㄧㄚ2"
+ ],
+ "𪘲": [
+ "ㄧㄚ2",
+ "ㄧ2",
+ "ㄧㄚ4",
+ "ㄘ1"
+ ],
+ "𪘳": [
+ "ㄩㄝ1"
+ ],
+ "𪘹": [
+ "ㄏㄜ2"
+ ],
+ "𪘺": [
+ "ㄑㄧㄚ4"
+ ],
+ "𪘾": [
+ "ㄔㄚ1"
+ ],
+ "𪙃": [
+ "ㄡ2"
+ ],
+ "𪙈": [
+ "ㄏㄨ2"
+ ],
+ "𪙊": [
+ "ㄧㄢ4"
+ ],
+ "𪙌": [
+ "ㄑㄧㄝ4"
+ ],
+ "𪙍": [
+ "ㄅㄛ2"
+ ],
+ "𪙎": [
+ "ㄑㄧㄤ1"
+ ],
+ "𪙏": [
+ "ㄐㄧㄝ4",
+ "ㄐㄧㄚ2"
+ ],
+ "𪙛": [
+ "ㄋㄧ4"
+ ],
+ "𪙞": [
+ "ㄔㄢ3"
+ ],
+ "𪙟": [
+ "ㄑㄧㄣ3"
+ ],
+ "𪙡": [
+ "ㄗㄠ1"
+ ],
+ "𪙤": [
+ "ㄧㄣ3"
+ ],
+ "𪙥": [
+ "ㄒㄧㄝ4"
+ ],
+ "𪙧": [
+ "ㄑㄧ2"
+ ],
+ "𪙨": [
+ "ㄐㄧㄢ4",
+ "ㄐㄧㄢ1"
+ ],
+ "𪙫": [
+ "ㄒㄩ1"
+ ],
+ "𪙭": [
+ "ㄗㄥ4"
+ ],
+ "𪙯": [
+ "ㄜ4"
+ ],
+ "𪙳": [
+ "ㄗㄨ1"
+ ],
+ "𪙴": [
+ "ㄧ3"
+ ],
+ "𪙹": [
+ "ㄓ2"
+ ],
+ "𪙺": [
+ "ㄌㄧ4"
+ ],
+ "𪙽": [
+ "ㄌㄧ4"
+ ],
+ "𪙾": [
+ "ㄧㄣ2"
+ ],
+ "𪚁": [
+ "ㄌㄧㄢ2"
+ ],
+ "𪚃": [
+ "ㄔㄢ2"
+ ],
+ "𪚅": [
+ "ㄐㄩㄝ2"
+ ],
+ "𪚇": [
+ "ㄗㄚ2"
+ ],
+ "𪚎": [
+ "ㄓㄞ1"
+ ],
+ "𪚏": [
+ "ㄆㄧㄢ2"
+ ],
+ "𪚑": [
+ "ㄌㄨㄥ2"
+ ],
+ "𪚓": [
+ "ㄌㄨㄥ2"
+ ],
+ "𪚘": [
+ "ㄌㄨㄥ2"
+ ],
+ "𪚝": [
+ "ㄌㄨㄥ2"
+ ],
+ "𪚠": [
+ "ㄌㄨㄥ2"
+ ],
+ "𪚢": [
+ "ㄇㄤ3"
+ ],
+ "𪚥": [
+ "ㄓㄜ2"
+ ],
+ "𪚬": [
+ "ㄍㄢ4"
+ ],
+ "𪚭": [
+ "ㄍㄡ1"
+ ],
+ "𪚮": [
+ "ㄖㄢ2"
+ ],
+ "𪚯": [
+ "ㄘㄨ4"
+ ],
+ "𪚰": [
+ "ㄐㄧㄠ1"
+ ],
+ "𪚷": [
+ "ㄅㄛ3"
+ ],
+ "𪚹": [
+ "ㄓㄨ4"
+ ],
+ "𪚺": [
+ "ㄑㄧㄡ1"
+ ],
+ "𪚻": [
+ "ㄧㄤ1"
+ ],
+ "𪛀": [
+ "ㄒㄧㄠ4"
+ ],
+ "𪛂": [
+ "ㄏㄨㄟ2"
+ ],
+ "𪛃": [
+ "ㄑㄩ1"
+ ],
+ "𪛈": [
+ "ㄌㄧㄥ2"
+ ],
+ "𪛊": [
+ "ㄧㄣ2"
+ ],
+ "𪛎": [
+ "ㄆㄧ4"
+ ],
+ "𪛒": [
+ "ㄌㄧㄢ2"
+ ],
+ "𪞝": [
+ "ㄉㄨㄛ2"
+ ],
+ "𪟝": [
+ "ㄐㄧ4",
+ "ㄐㄧ1"
+ ],
+ "𪡈": [
+ "ㄅㄞ2"
+ ],
+ "𪡏": [
+ "ㄓㄢ1"
+ ],
+ "𪢮": [
+ "ㄌㄨㄢ2"
+ ],
+ "𪣻": [
+ "ㄌㄡ2"
+ ],
+ "𪤗": [
+ "ㄌㄧㄠ4"
+ ],
+ "𪨊": [
+ "ㄙㄨㄥ2"
+ ],
+ "𪨗": [
+ "ㄐㄩㄝ1"
+ ],
+ "𪨰": [
+ "ㄑㄩ1"
+ ],
+ "𪨶": [
+ "ㄕㄜ1"
+ ],
+ "𪩘": [
+ "ㄧㄢ3"
+ ],
+ "𪪝": [
+ "ㄩㄥ1"
+ ],
+ "𪺹": [
+ "ㄋㄨ3"
+ ],
+ "𪻐": [
+ "ㄘㄨㄥ1"
+ ],
+ "𪾢": [
+ "ㄒㄧㄢ4"
+ ],
+ "𫁡": [
+ "ㄌㄧ4"
+ ],
+ "𫂈": [
+ "ㄈㄟ4"
+ ],
+ "𫂙": [
+ "ㄙㄨ4"
+ ],
+ "𫃜": [
+ "ㄎㄡ4"
+ ],
+ "𫄧": [
+ "ㄧㄢ2"
+ ],
+ "𫄨": [
+ "ㄔ1"
+ ],
+ "𫄷": [
+ "ㄧ4"
+ ],
+ "𫄸": [
+ "ㄒㄩㄣ1"
+ ],
+ "𫇭": [
+ "ㄨㄟ3"
+ ],
+ "𫈰": [
+ "ㄑㄧㄚ4"
+ ],
+ "𫋐": [
+ "ㄍㄨㄥ3"
+ ],
+ "𫌀": [
+ "ㄐㄧ1"
+ ],
+ "𫌨": [
+ "ㄌㄨㄛ2"
+ ],
+ "𫍙": [
+ "ㄧ4"
+ ],
+ "𫍟": [
+ "ㄧ2"
+ ],
+ "𫍢": [
+ "ㄋㄠ2"
+ ],
+ "𫍣": [
+ "ㄊㄨㄥ2"
+ ],
+ "𫍯": [
+ "ㄒㄧㄢ2"
+ ],
+ "𫍰": [
+ "ㄒㄧ3"
+ ],
+ "𫍲": [
+ "ㄒㄧㄠ3"
+ ],
+ "𫍽": [
+ "ㄒㄩㄢ1"
+ ],
+ "𫏋": [
+ "ㄐㄩㄝ1",
+ "ㄑㄧㄠ1"
+ ],
+ "𫐄": [
+ "ㄩㄝ4"
+ ],
+ "𫐆": [
+ "ㄎㄨㄞ4"
+ ],
+ "𫐉": [
+ "ㄌㄧㄥ2"
+ ],
+ "𫐐": [
+ "ㄋㄧ2"
+ ],
+ "𫐓": [
+ "ㄅㄨ4",
+ "ㄖㄡ2"
+ ],
+ "𫑡": [
+ "ㄇㄥ2"
+ ],
+ "𫒶": [
+ "ㄏㄢ2"
+ ],
+ "𫓧": [
+ "ㄈㄨ1"
+ ],
+ "𫓩": [
+ "ㄘㄨㄥ1"
+ ],
+ "𫓯": [
+ "ㄐㄧ1"
+ ],
+ "𫓶": [
+ "ㄒㄩㄢ1"
+ ],
+ "𫓹": [
+ "ㄐㄧ1"
+ ],
+ "𫔍": [
+ "ㄈㄢ2"
+ ],
+ "𫔎": [
+ "ㄐㄩㄝ2"
+ ],
+ "𫔶": [
+ "ㄋㄧㄝ4"
+ ],
+ "𫖮": [
+ "ㄧ3"
+ ],
+ "𫖯": [
+ "ㄈㄨ3"
+ ],
+ "𫖳": [
+ "ㄩㄣ1"
+ ],
+ "𫗠": [
+ "ㄓㄤ1"
+ ],
+ "𫗦": [
+ "ㄅㄨ4"
+ ],
+ "𫗧": [
+ "ㄙㄨ4"
+ ],
+ "𫗮": [
+ "ㄏㄨㄤ2"
+ ],
+ "𫗴": [
+ "ㄓㄢ1"
+ ],
+ "𫘜": [
+ "ㄨㄣ2"
+ ],
+ "𫘝": [
+ "ㄐㄩㄝ2"
+ ],
+ "𫘣": [
+ "ㄏㄢ4"
+ ],
+ "𫘤": [
+ "ㄞ2"
+ ],
+ "𫘦": [
+ "ㄊㄠ2"
+ ],
+ "𫘧": [
+ "ㄌㄨ4"
+ ],
+ "𫘨": [
+ "ㄊㄧ2"
+ ],
+ "𫘪": [
+ "ㄩㄢ2"
+ ],
+ "𫘬": [
+ "ㄒㄧ2"
+ ],
+ "𫚈": [
+ "ㄒㄩ4"
+ ],
+ "𫚉": [
+ "ㄏㄨㄥ2"
+ ],
+ "𫚒": [
+ "ㄈㄨ2"
+ ],
+ "𫚔": [
+ "ㄏㄨㄟ2"
+ ],
+ "𫚕": [
+ "ㄕ1"
+ ],
+ "𫚖": [
+ "ㄘ3"
+ ],
+ "𫚙": [
+ "ㄆㄨ1"
+ ],
+ "𫚭": [
+ "ㄌㄧㄝ4"
+ ],
+ "𫛛": [
+ "ㄓ1"
+ ],
+ "𫛞": [
+ "ㄐㄩㄝ2"
+ ],
+ "𫛢": [
+ "ㄋㄧㄥ2"
+ ],
+ "𫛭": [
+ "ㄎㄨㄤ2"
+ ],
+ "𫛶": [
+ "ㄔ4"
+ ],
+ "𫛸": [
+ "ㄊㄧ2"
+ ],
+ "𫜷": [
+ "ㄕㄡ4"
+ ],
+ "𫜸": [
+ "ㄏㄨㄚ4"
+ ],
+ "𫞩": [
+ "ㄇㄣ2"
+ ],
+ "𫟅": [
+ "ㄌㄧㄤ2"
+ ],
+ "𫟦": [
+ "ㄙㄨㄟ4"
+ ],
+ "𫟷": [
+ "ㄌㄧ4"
+ ],
+ "𫟹": [
+ "ㄏㄨㄥ2"
+ ],
+ "𫟼": [
+ "ㄉㄚ2"
+ ],
+ "𫠆": [
+ "ㄎㄨㄟ3"
+ ],
+ "𫠊": [
+ "ㄒㄩㄢ2"
+ ],
+ "𫠜": [
+ "ㄋㄧ2"
+ ],
+ "𫠥": [
+ "ㄌㄡ4"
+ ],
+ "𫡑": [
+ "ㄧㄣ1"
+ ],
+ "𫢸": [
+ "ㄉㄢ4"
+ ],
+ "𫫇": [
+ "ㄜ3",
+ "ㄜ4"
+ ],
+ "𫭟": [
+ "ㄡ1",
+ "ㄑㄩ1"
+ ],
+ "𫭢": [
+ "ㄌㄨㄣ3"
+ ],
+ "𫭼": [
+ "ㄌㄠ2"
+ ],
+ "𫮃": [
+ "ㄕㄢ4"
+ ],
+ "𫮬": [
+ "ㄐㄧㄤ4"
+ ],
+ "𫰛": [
+ "ㄒㄧㄥ2"
+ ],
+ "𫵷": [
+ "ㄌㄧ4"
+ ],
+ "𫶇": [
+ "ㄉㄧㄝ2"
+ ],
+ "𫷷": [
+ "ㄒㄧㄣ1"
+ ],
+ "𫸩": [
+ "ㄎㄡ1"
+ ],
+ "𫼛": [
+ "ㄉㄧㄠ4"
+ ],
+ "𫽮": [
+ "ㄉㄤ3"
+ ],
+ "𬀩": [
+ "ㄨㄟ3"
+ ],
+ "𬀪": [
+ "ㄒㄧㄢ4"
+ ],
+ "𬀷": [
+ "ㄕㄤ1"
+ ],
+ "𬂩": [
+ "ㄐㄧㄚ1"
+ ],
+ "𬃊": [
+ "ㄓ4"
+ ],
+ "𬆛": [
+ "ㄋㄠ3"
+ ],
+ "𬇕": [
+ "ㄨㄢ4"
+ ],
+ "𬇙": [
+ "ㄆㄟ4",
+ "ㄅㄟ4"
+ ],
+ "𬇹": [
+ "ㄍㄨㄛ2"
+ ],
+ "𬉼": [
+ "ㄡ1",
+ "ㄡ3"
+ ],
+ "𬊈": [
+ "ㄒㄩㄣ2"
+ ],
+ "𬊤": [
+ "ㄔㄢ3"
+ ],
+ "𬌗": [
+ "ㄏㄜ2"
+ ],
+ "𬍛": [
+ "ㄌㄧ4"
+ ],
+ "𬍡": [
+ "ㄉㄤ4"
+ ],
+ "𬍤": [
+ "ㄒㄩㄣ2"
+ ],
+ "𬐚": [
+ "ㄏㄞ3"
+ ],
+ "𬑔": [
+ "ㄓㄨㄥ4"
+ ],
+ "𬑡": [
+ "ㄔㄡ3"
+ ],
+ "𬒈": [
+ "ㄑㄩㄝ4"
+ ],
+ "𬒔": [
+ "ㄍㄥ3"
+ ],
+ "𬒗": [
+ "ㄌㄢ2"
+ ],
+ "𬒘": [
+ "ㄒㄧㄣ4"
+ ],
+ "𬓼": [
+ "ㄊㄨㄟ2"
+ ],
+ "𬕂": [
+ "ㄍㄨㄥ1",
+ "ㄌㄨㄥ3"
+ ],
+ "𬘓": [
+ "ㄒㄩㄣ2"
+ ],
+ "𬘘": [
+ "ㄉㄢ3"
+ ],
+ "𬘡": [
+ "ㄧㄣ1"
+ ],
+ "𬘩": [
+ "ㄊㄧㄥ1"
+ ],
+ "𬘫": [
+ "ㄏㄨㄢ2"
+ ],
+ "𬘬": [
+ "ㄑㄧㄢ4"
+ ],
+ "𬘭": [
+ "ㄌㄧㄣ2",
+ "ㄔㄣ1"
+ ],
+ "𬘯": [
+ "ㄓㄨㄣ3"
+ ],
+ "𬙂": [
+ "ㄧㄢ3"
+ ],
+ "𬙊": [
+ "ㄇㄛ4"
+ ],
+ "𬙋": [
+ "ㄒㄧㄤ1"
+ ],
+ "𬛸": [
+ "ㄋㄧㄝ1"
+ ],
+ "𬜬": [
+ "ㄇㄢ4"
+ ],
+ "𬜯": [
+ "ㄌㄧㄤ3"
+ ],
+ "𬞟": [
+ "ㄆㄧㄣ2"
+ ],
+ "𬟁": [
+ "ㄧ4"
+ ],
+ "𬟽": [
+ "ㄉㄨㄥ1"
+ ],
+ "𬣙": [
+ "ㄒㄩ1"
+ ],
+ "𬣞": [
+ "ㄓㄨ3"
+ ],
+ "𬣡": [
+ "ㄐㄧㄢ4"
+ ],
+ "𬣳": [
+ "ㄏㄣ3"
+ ],
+ "𬤇": [
+ "ㄧㄣ1"
+ ],
+ "𬤊": [
+ "ㄕ4"
+ ],
+ "𬤝": [
+ "ㄏㄨㄟ4"
+ ],
+ "𬤥": [
+ "ㄓㄨㄢ4"
+ ],
+ "𬨂": [
+ "ㄑㄧ2"
+ ],
+ "𬨎": [
+ "ㄧㄡ2"
+ ],
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+ "ㄒㄩㄣ2"
+ ],
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+ "ㄋㄨㄥ2"
+ ],
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+ "ㄧ4"
+ ],
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+ "ㄌㄨㄣ2"
+ ],
+ "𬬮": [
+ "ㄔㄤ3"
+ ],
+ "𬬱": [
+ "ㄐㄧㄣ1"
+ ],
+ "𬬸": [
+ "ㄕㄨ4"
+ ],
+ "𬬹": [
+ "ㄕㄣ2"
+ ],
+ "𬬻": [
+ "ㄌㄨ2"
+ ],
+ "𬬿": [
+ "ㄓㄠ1"
+ ],
+ "𬭁": [
+ "ㄇㄨ3"
+ ],
+ "𬭊": [
+ "ㄉㄨ4"
+ ],
+ "𬭎": [
+ "ㄏㄨㄥ2"
+ ],
+ "𬭚": [
+ "ㄔㄨㄣ2"
+ ],
+ "𬭛": [
+ "ㄅㄛ1"
+ ],
+ "𬭤": [
+ "ㄏㄡ2"
+ ],
+ "𬭩": [
+ "ㄨㄥ1"
+ ],
+ "𬭬": [
+ "ㄨㄟ4",
+ "ㄏㄨㄟ4"
+ ],
+ "𬭯": [
+ "ㄆㄧㄝ3"
+ ],
+ "𬭳": [
+ "ㄒㄧ3"
+ ],
+ "𬭶": [
+ "ㄏㄟ1"
+ ],
+ "𬭸": [
+ "ㄌㄧㄣ2"
+ ],
+ "𬭼": [
+ "ㄙㄨㄟ4"
+ ],
+ "𬮱": [
+ "ㄧㄣ1"
+ ],
+ "𬮿": [
+ "ㄑㄧ2",
+ "ㄍㄞ4"
+ ],
+ "𬯀": [
+ "ㄐㄧ1"
+ ],
+ "𬯎": [
+ "ㄊㄨㄟ2"
+ ],
+ "𬰃": [
+ "ㄇㄨ4"
+ ],
+ "𬱖": [
+ "ㄉㄧ2"
+ ],
+ "𬱟": [
+ "ㄨㄟ3"
+ ],
+ "𬲜": [
+ "ㄔㄥ1"
+ ],
+ "𬳲": [
+ "ㄔㄢ3"
+ ],
+ "𬳵": [
+ "ㄆㄧ1"
+ ],
+ "𬳶": [
+ "ㄐㄩㄥ1"
+ ],
+ "𬳽": [
+ "ㄕㄣ1"
+ ],
+ "𬳿": [
+ "ㄊㄨ2"
+ ],
+ "𬴂": [
+ "ㄈㄟ1"
+ ],
+ "𬴃": [
+ "ㄏㄨㄛ1"
+ ],
+ "𬴊": [
+ "ㄌㄧㄣ2"
+ ],
+ "𬶋": [
+ "ㄐㄩ1"
+ ],
+ "𬶍": [
+ "ㄊㄨㄛ2"
+ ],
+ "𬶏": [
+ "ㄨㄟ2"
+ ],
+ "𬶐": [
+ "ㄓㄠ4"
+ ],
+ "𬶟": [
+ "ㄌㄚ4"
+ ],
+ "𬶠": [
+ "ㄌㄧㄢ4"
+ ],
+ "𬶨": [
+ "ㄐㄧ4"
+ ],
+ "𬶭": [
+ "ㄐㄧ4"
+ ],
+ "𬶮": [
+ "ㄒㄧ3"
+ ],
+ "𬷕": [
+ "ㄅㄨ1",
+ "ㄅㄨ3"
+ ],
+ "𬸘": [
+ "ㄧㄢ3"
+ ],
+ "𬸚": [
+ "ㄩㄝ4"
+ ],
+ "𬸣": [
+ "ㄒㄧㄢ1"
+ ],
+ "𬸦": [
+ "ㄓㄨㄛ2"
+ ],
+ "𬸪": [
+ "ㄈㄢ2"
+ ],
+ "𬹼": [
+ "ㄒㄧㄝ4"
+ ],
+ "𬺈": [
+ "ㄧ3"
+ ],
+ "𬺓": [
+ "ㄔㄨ3"
+ ],
+ "𭀖": [
+ "ㄌㄧ2"
+ ],
+ "灰": [
+ "ㄏㄨㄟ1"
+ ],
+ "𰻝": [
+ "ㄅㄧㄤ2"
+ ],
+ "𰻞": [
+ "ㄅㄧㄤ2"
+ ]
+}
diff --git a/data/G2PWModel/config.py b/data/G2PWModel/config.py
new file mode 100644
index 0000000000000000000000000000000000000000..a2f1a8898625a3197be8c49c143c0075f712c2c0
--- /dev/null
+++ b/data/G2PWModel/config.py
@@ -0,0 +1,19 @@
+manual_seed = 42
+model_source = "bert-base-chinese"
+window_size = 32
+num_workers = 64
+use_mask = True
+use_conditional = True
+param_conditional = {
+ "bias": True,
+ "char-linear": True,
+ "pos-linear": False,
+ "char+pos-second": True,
+}
+
+batch_size = 256
+use_pos = True
+param_pos = {
+ "weight": 0.1,
+ "pos_joint_training": True,
+}
diff --git a/data/G2PWModel/pyproject.toml b/data/G2PWModel/pyproject.toml
new file mode 100644
index 0000000000000000000000000000000000000000..c8825dba448b6e3ad032f10a41d2d4b99abda02c
--- /dev/null
+++ b/data/G2PWModel/pyproject.toml
@@ -0,0 +1,16 @@
+[project]
+name = "pypinyin_G2pW_bv2"
+version = "0.1.0"
+authors = [
+ {name = "Stardust", email = "2225664821@qq.com"},
+]
+description = "pypinyin-G2pW-bv2"
+keywords = ["TTS", "Speech"]
+license = {text = "BSD-3-Clause"}
+classifiers = [
+ "Programming Language :: Python :: 3",
+]
+
+[build-system]
+requires = ["setuptools", "setuptools-scm"]
+build-backend = "setuptools.build_meta"
diff --git a/data/G2PWModel/version b/data/G2PWModel/version
new file mode 100644
index 0000000000000000000000000000000000000000..c0ec837a4402cbea882d273a1aa347f111f37a56
--- /dev/null
+++ b/data/G2PWModel/version
@@ -0,0 +1 @@
+v2.0
diff --git a/data/bert/Erlangshen-MegatronBert-1.3B-Chinese/config.json b/data/bert/Erlangshen-MegatronBert-1.3B-Chinese/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..467c34daf4a643e98041f4c534c6a6d480c0ef7e
--- /dev/null
+++ b/data/bert/Erlangshen-MegatronBert-1.3B-Chinese/config.json
@@ -0,0 +1 @@
+{"vocab_size": 21248, "hidden_size": 2048, "num_hidden_layers": 24, "num_attention_heads": 8, "hidden_act": "gelu_new", "intermediate_size": 8192, "hidden_dropout_prob": 0.1, "attention_probs_dropout_prob": 0.1, "max_position_embeddings": 512, "type_vocab_size": 2, "initializer_range": 0.02, "layer_norm_eps": 1e-12, "gradient_checkpointing": false, "position_embedding_type": "absolute", "use_cache": false, "model_type": "megatron-bert"}
diff --git a/data/bert/Erlangshen-MegatronBert-1.3B-Chinese/vocab.txt b/data/bert/Erlangshen-MegatronBert-1.3B-Chinese/vocab.txt
new file mode 100644
index 0000000000000000000000000000000000000000..66b6d20eebda7da8499e68ef9b1980990c0042cc
--- /dev/null
+++ b/data/bert/Erlangshen-MegatronBert-1.3B-Chinese/vocab.txt
@@ -0,0 +1,21128 @@
+[PAD]
+[unused1]
+[unused2]
+[unused3]
+[unused4]
+[unused5]
+[unused6]
+[unused7]
+[unused8]
+[unused9]
+[unused10]
+[unused11]
+[unused12]
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+[unused14]
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+[unused72]
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+[unused77]
+[unused78]
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+[unused80]
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+[unused83]
+[unused84]
+[unused85]
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+[unused87]
+[unused88]
+[unused89]
+[unused90]
+[unused91]
+[unused92]
+[unused93]
+[unused94]
+[unused95]
+[unused96]
+[unused97]
+[unused98]
+[unused99]
+[UNK]
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diff --git a/data/bert/bert-base-japanese-v3/README.md b/data/bert/bert-base-japanese-v3/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c5b3456719f01801a2f29fef5faa8ee672391adf
--- /dev/null
+++ b/data/bert/bert-base-japanese-v3/README.md
@@ -0,0 +1,53 @@
+---
+license: apache-2.0
+datasets:
+- cc100
+- wikipedia
+language:
+- ja
+widget:
+- text: 東北大学で[MASK]の研究をしています。
+---
+
+# BERT base Japanese (unidic-lite with whole word masking, CC-100 and jawiki-20230102)
+
+This is a [BERT](https://github.com/google-research/bert) model pretrained on texts in the Japanese language.
+
+This version of the model processes input texts with word-level tokenization based on the Unidic 2.1.2 dictionary (available in [unidic-lite](https://pypi.org/project/unidic-lite/) package), followed by the WordPiece subword tokenization.
+Additionally, the model is trained with the whole word masking enabled for the masked language modeling (MLM) objective.
+
+The codes for the pretraining are available at [cl-tohoku/bert-japanese](https://github.com/cl-tohoku/bert-japanese/).
+
+## Model architecture
+
+The model architecture is the same as the original BERT base model; 12 layers, 768 dimensions of hidden states, and 12 attention heads.
+
+## Training Data
+
+The model is trained on the Japanese portion of [CC-100 dataset](https://data.statmt.org/cc-100/) and the Japanese version of Wikipedia.
+For Wikipedia, we generated a text corpus from the [Wikipedia Cirrussearch dump file](https://dumps.wikimedia.org/other/cirrussearch/) as of January 2, 2023.
+The corpus files generated from CC-100 and Wikipedia are 74.3GB and 4.9GB in size and consist of approximately 392M and 34M sentences, respectively.
+
+For the purpose of splitting texts into sentences, we used [fugashi](https://github.com/polm/fugashi) with [mecab-ipadic-NEologd](https://github.com/neologd/mecab-ipadic-neologd) dictionary (v0.0.7).
+
+## Tokenization
+
+The texts are first tokenized by MeCab with the Unidic 2.1.2 dictionary and then split into subwords by the WordPiece algorithm.
+The vocabulary size is 32768.
+
+We used [fugashi](https://github.com/polm/fugashi) and [unidic-lite](https://github.com/polm/unidic-lite) packages for the tokenization.
+
+## Training
+
+We trained the model first on the CC-100 corpus for 1M steps and then on the Wikipedia corpus for another 1M steps.
+For training of the MLM (masked language modeling) objective, we introduced whole word masking in which all of the subword tokens corresponding to a single word (tokenized by MeCab) are masked at once.
+
+For training of each model, we used a v3-8 instance of Cloud TPUs provided by [TPU Research Cloud](https://sites.research.google/trc/about/).
+
+## Licenses
+
+The pretrained models are distributed under the Apache License 2.0.
+
+## Acknowledgments
+
+This model is trained with Cloud TPUs provided by [TPU Research Cloud](https://sites.research.google/trc/about/) program.
diff --git a/data/bert/bert-base-japanese-v3/config.json b/data/bert/bert-base-japanese-v3/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..65a2f332234197516eacda2fd4e50f542d7ed71d
--- /dev/null
+++ b/data/bert/bert-base-japanese-v3/config.json
@@ -0,0 +1,19 @@
+{
+ "architectures": [
+ "BertForPreTraining"
+ ],
+ "attention_probs_dropout_prob": 0.1,
+ "hidden_act": "gelu",
+ "hidden_dropout_prob": 0.1,
+ "hidden_size": 768,
+ "initializer_range": 0.02,
+ "intermediate_size": 3072,
+ "layer_norm_eps": 1e-12,
+ "max_position_embeddings": 512,
+ "model_type": "bert",
+ "num_attention_heads": 12,
+ "num_hidden_layers": 12,
+ "pad_token_id": 0,
+ "type_vocab_size": 2,
+ "vocab_size": 32768
+}
diff --git a/data/bert/bert-base-japanese-v3/vocab.txt b/data/bert/bert-base-japanese-v3/vocab.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d6da954b9799a44137a2bf52f8f26f871004c6c8
--- /dev/null
+++ b/data/bert/bert-base-japanese-v3/vocab.txt
@@ -0,0 +1,32768 @@
+[PAD]
+[UNK]
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+##ーカ
+##の川
+ディラン
+シュレ
+メンフィス
+NSC
+BT
+First
+Les
diff --git a/data/bert/bert-large-japanese-v2/.gitattributes b/data/bert/bert-large-japanese-v2/.gitattributes
new file mode 100644
index 0000000000000000000000000000000000000000..c7d9f3332a950355d5a77d85000f05e6f45435ea
--- /dev/null
+++ b/data/bert/bert-large-japanese-v2/.gitattributes
@@ -0,0 +1,34 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
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+*.onnx filter=lfs diff=lfs merge=lfs -text
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+*.parquet filter=lfs diff=lfs merge=lfs -text
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+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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diff --git a/data/bert/bert-large-japanese-v2/README.md b/data/bert/bert-large-japanese-v2/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..8f0d3f105358a453dd0cc8a64a39eb823c7a2d01
--- /dev/null
+++ b/data/bert/bert-large-japanese-v2/README.md
@@ -0,0 +1,53 @@
+---
+license: apache-2.0
+datasets:
+- cc100
+- wikipedia
+language:
+- ja
+widget:
+- text: 東北大学で[MASK]の研究をしています。
+---
+
+# BERT large Japanese (unidic-lite with whole word masking, CC-100 and jawiki-20230102)
+
+This is a [BERT](https://github.com/google-research/bert) model pretrained on texts in the Japanese language.
+
+This version of the model processes input texts with word-level tokenization based on the Unidic 2.1.2 dictionary (available in [unidic-lite](https://pypi.org/project/unidic-lite/) package), followed by the WordPiece subword tokenization.
+Additionally, the model is trained with the whole word masking enabled for the masked language modeling (MLM) objective.
+
+The codes for the pretraining are available at [cl-tohoku/bert-japanese](https://github.com/cl-tohoku/bert-japanese/).
+
+## Model architecture
+
+The model architecture is the same as the original BERT large model; 24 layers, 1024 dimensions of hidden states, and 16 attention heads.
+
+## Training Data
+
+The model is trained on the Japanese portion of [CC-100 dataset](https://data.statmt.org/cc-100/) and the Japanese version of Wikipedia.
+For Wikipedia, we generated a text corpus from the [Wikipedia Cirrussearch dump file](https://dumps.wikimedia.org/other/cirrussearch/) as of January 2, 2023.
+The corpus files generated from CC-100 and Wikipedia are 74.3GB and 4.9GB in size and consist of approximately 392M and 34M sentences, respectively.
+
+For the purpose of splitting texts into sentences, we used [fugashi](https://github.com/polm/fugashi) with [mecab-ipadic-NEologd](https://github.com/neologd/mecab-ipadic-neologd) dictionary (v0.0.7).
+
+## Tokenization
+
+The texts are first tokenized by MeCab with the Unidic 2.1.2 dictionary and then split into subwords by the WordPiece algorithm.
+The vocabulary size is 32768.
+
+We used [fugashi](https://github.com/polm/fugashi) and [unidic-lite](https://github.com/polm/unidic-lite) packages for the tokenization.
+
+## Training
+
+We trained the model first on the CC-100 corpus for 1M steps and then on the Wikipedia corpus for another 1M steps.
+For training of the MLM (masked language modeling) objective, we introduced whole word masking in which all of the subword tokens corresponding to a single word (tokenized by MeCab) are masked at once.
+
+For training of each model, we used a v3-8 instance of Cloud TPUs provided by [TPU Research Cloud](https://sites.research.google/trc/about/).
+
+## Licenses
+
+The pretrained models are distributed under the Apache License 2.0.
+
+## Acknowledgments
+
+This model is trained with Cloud TPUs provided by [TPU Research Cloud](https://sites.research.google/trc/about/) program.
diff --git a/data/bert/bert-large-japanese-v2/config.json b/data/bert/bert-large-japanese-v2/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..427134b5f21d61f03027cc29526a0ea6369b6059
--- /dev/null
+++ b/data/bert/bert-large-japanese-v2/config.json
@@ -0,0 +1,19 @@
+{
+ "architectures": [
+ "BertForPreTraining"
+ ],
+ "attention_probs_dropout_prob": 0.1,
+ "hidden_act": "gelu",
+ "hidden_dropout_prob": 0.1,
+ "hidden_size": 1024,
+ "initializer_range": 0.02,
+ "intermediate_size": 4096,
+ "layer_norm_eps": 1e-12,
+ "max_position_embeddings": 512,
+ "model_type": "bert",
+ "num_attention_heads": 16,
+ "num_hidden_layers": 24,
+ "pad_token_id": 0,
+ "type_vocab_size": 2,
+ "vocab_size": 32768
+}
diff --git a/data/bert/bert-large-japanese-v2/tokenizer_config.json b/data/bert/bert-large-japanese-v2/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..dfbcc4690aaab4b44570ee05eb7fd09a10e5a7db
--- /dev/null
+++ b/data/bert/bert-large-japanese-v2/tokenizer_config.json
@@ -0,0 +1,10 @@
+{
+ "tokenizer_class": "BertJapaneseTokenizer",
+ "model_max_length": 512,
+ "do_lower_case": false,
+ "word_tokenizer_type": "mecab",
+ "subword_tokenizer_type": "wordpiece",
+ "mecab_kwargs": {
+ "mecab_dic": "unidic_lite"
+ }
+}
diff --git a/data/bert/bert-large-japanese-v2/vocab.txt b/data/bert/bert-large-japanese-v2/vocab.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d6da954b9799a44137a2bf52f8f26f871004c6c8
--- /dev/null
+++ b/data/bert/bert-large-japanese-v2/vocab.txt
@@ -0,0 +1,32768 @@
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+##高田
+##津子
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+もとより
+モンロー
+クイック
+フェンダー
+セナ
+マギ
+千島
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+王太子
+調味
+##テレス
+ローレン
+カリフ
+520
+マダガスカル
+プトレマイオス
+ひる
+セロ
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+御影
+挙動
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+空調
+船首
+高位
+##eration
+##テルン
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+佐川
+喋り
+大隅
+年々
+本誌
+白金
+社民
+細野
+##まつり
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+宮前
+年中
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diff --git a/data/bert/chinese-roberta-wwm-ext-large/.gitattributes b/data/bert/chinese-roberta-wwm-ext-large/.gitattributes
new file mode 100644
index 0000000000000000000000000000000000000000..ae8c63daedbd4206d7d40126955d4e6ab1c80f8f
--- /dev/null
+++ b/data/bert/chinese-roberta-wwm-ext-large/.gitattributes
@@ -0,0 +1,9 @@
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tar.gz filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
diff --git a/data/bert/chinese-roberta-wwm-ext-large/.gitignore b/data/bert/chinese-roberta-wwm-ext-large/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..a8a0dcec4472004b260c13b9ce9cf029f4d66041
--- /dev/null
+++ b/data/bert/chinese-roberta-wwm-ext-large/.gitignore
@@ -0,0 +1 @@
+*.bin
diff --git a/data/bert/chinese-roberta-wwm-ext-large/README.md b/data/bert/chinese-roberta-wwm-ext-large/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..7bce039b7f81ee328fdf8efe3f14409200aacbef
--- /dev/null
+++ b/data/bert/chinese-roberta-wwm-ext-large/README.md
@@ -0,0 +1,57 @@
+---
+language:
+- zh
+tags:
+- bert
+license: "apache-2.0"
+---
+
+# Please use 'Bert' related functions to load this model!
+
+## Chinese BERT with Whole Word Masking
+For further accelerating Chinese natural language processing, we provide **Chinese pre-trained BERT with Whole Word Masking**.
+
+**[Pre-Training with Whole Word Masking for Chinese BERT](https://arxiv.org/abs/1906.08101)**
+Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang, Shijin Wang, Guoping Hu
+
+This repository is developed based on：https://github.com/google-research/bert
+
+You may also interested in,
+- Chinese BERT series: https://github.com/ymcui/Chinese-BERT-wwm
+- Chinese MacBERT: https://github.com/ymcui/MacBERT
+- Chinese ELECTRA: https://github.com/ymcui/Chinese-ELECTRA
+- Chinese XLNet: https://github.com/ymcui/Chinese-XLNet
+- Knowledge Distillation Toolkit - TextBrewer: https://github.com/airaria/TextBrewer
+
+More resources by HFL: https://github.com/ymcui/HFL-Anthology
+
+## Citation
+If you find the technical report or resource is useful, please cite the following technical report in your paper.
+- Primary: https://arxiv.org/abs/2004.13922
+```
+@inproceedings{cui-etal-2020-revisiting,
+ title = "Revisiting Pre-Trained Models for {C}hinese Natural Language Processing",
+ author = "Cui, Yiming and
+ Che, Wanxiang and
+ Liu, Ting and
+ Qin, Bing and
+ Wang, Shijin and
+ Hu, Guoping",
+ booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings",
+ month = nov,
+ year = "2020",
+ address = "Online",
+ publisher = "Association for Computational Linguistics",
+ url = "https://www.aclweb.org/anthology/2020.findings-emnlp.58",
+ pages = "657--668",
+}
+```
+- Secondary: https://arxiv.org/abs/1906.08101
+```
+@article{chinese-bert-wwm,
+ title={Pre-Training with Whole Word Masking for Chinese BERT},
+ author={Cui, Yiming and Che, Wanxiang and Liu, Ting and Qin, Bing and Yang, Ziqing and Wang, Shijin and Hu, Guoping},
+ journal={arXiv preprint arXiv:1906.08101},
+ year={2019}
+ }
+```
\ No newline at end of file
diff --git a/data/bert/chinese-roberta-wwm-ext-large/added_tokens.json b/data/bert/chinese-roberta-wwm-ext-large/added_tokens.json
new file mode 100644
index 0000000000000000000000000000000000000000..9e26dfeeb6e641a33dae4961196235bdb965b21b
--- /dev/null
+++ b/data/bert/chinese-roberta-wwm-ext-large/added_tokens.json
@@ -0,0 +1 @@
+{}
\ No newline at end of file
diff --git a/data/bert/chinese-roberta-wwm-ext-large/config.json b/data/bert/chinese-roberta-wwm-ext-large/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..920741798717df58aa766c378de136df3053b609
--- /dev/null
+++ b/data/bert/chinese-roberta-wwm-ext-large/config.json
@@ -0,0 +1,28 @@
+{
+ "architectures": [
+ "BertForMaskedLM"
+ ],
+ "attention_probs_dropout_prob": 0.1,
+ "bos_token_id": 0,
+ "directionality": "bidi",
+ "eos_token_id": 2,
+ "hidden_act": "gelu",
+ "hidden_dropout_prob": 0.1,
+ "hidden_size": 1024,
+ "initializer_range": 0.02,
+ "intermediate_size": 4096,
+ "layer_norm_eps": 1e-12,
+ "max_position_embeddings": 512,
+ "model_type": "bert",
+ "num_attention_heads": 16,
+ "num_hidden_layers": 24,
+ "output_past": true,
+ "pad_token_id": 0,
+ "pooler_fc_size": 768,
+ "pooler_num_attention_heads": 12,
+ "pooler_num_fc_layers": 3,
+ "pooler_size_per_head": 128,
+ "pooler_type": "first_token_transform",
+ "type_vocab_size": 2,
+ "vocab_size": 21128
+}
diff --git a/data/bert/chinese-roberta-wwm-ext-large/special_tokens_map.json b/data/bert/chinese-roberta-wwm-ext-large/special_tokens_map.json
new file mode 100644
index 0000000000000000000000000000000000000000..e7b0375001f109a6b8873d756ad4f7bbb15fbaa5
--- /dev/null
+++ b/data/bert/chinese-roberta-wwm-ext-large/special_tokens_map.json
@@ -0,0 +1 @@
+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
\ No newline at end of file
diff --git a/data/bert/chinese-roberta-wwm-ext-large/tokenizer.json b/data/bert/chinese-roberta-wwm-ext-large/tokenizer.json
new file mode 100644
index 0000000000000000000000000000000000000000..eba64ab600f7bb029b38ac391b35651e3b55f185
--- /dev/null
+++ b/data/bert/chinese-roberta-wwm-ext-large/tokenizer.json
@@ -0,0 +1 @@
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diff --git a/data/bert/deberta-v2-large-japanese-char-wwm/.gitattributes b/data/bert/deberta-v2-large-japanese-char-wwm/.gitattributes
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diff --git a/data/bert/deberta-v2-large-japanese-char-wwm/README.md b/data/bert/deberta-v2-large-japanese-char-wwm/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..b7317110ce981c229ebd7b3b975545de5f35fa30
--- /dev/null
+++ b/data/bert/deberta-v2-large-japanese-char-wwm/README.md
@@ -0,0 +1,89 @@
+---
+language: ja
+license: cc-by-sa-4.0
+library_name: transformers
+tags:
+ - deberta
+ - deberta-v2
+ - fill-mask
+ - character
+ - wwm
+datasets:
+ - wikipedia
+ - cc100
+ - oscar
+metrics:
+ - accuracy
+mask_token: "[MASK]"
+widget:
+ - text: "京都大学で自然言語処理を[MASK][MASK]する。"
+---
+
+# Model Card for Japanese character-level DeBERTa V2 large
+
+## Model description
+
+This is a Japanese DeBERTa V2 large model pre-trained on Japanese Wikipedia, the Japanese portion of CC-100, and the Japanese portion of OSCAR.
+This model is trained with character-level tokenization and whole word masking.
+
+## How to use
+
+You can use this model for masked language modeling as follows:
+
+```python
+from transformers import AutoTokenizer, AutoModelForMaskedLM
+tokenizer = AutoTokenizer.from_pretrained('ku-nlp/deberta-v2-large-japanese-char-wwm')
+model = AutoModelForMaskedLM.from_pretrained('ku-nlp/deberta-v2-large-japanese-char-wwm')
+
+sentence = '京都大学で自然言語処理を[MASK][MASK]する。'
+encoding = tokenizer(sentence, return_tensors='pt')
+...
+```
+
+You can also fine-tune this model on downstream tasks.
+
+## Tokenization
+
+There is no need to tokenize texts in advance, and you can give raw texts to the tokenizer.
+The texts are tokenized into character-level tokens by [sentencepiece](https://github.com/google/sentencepiece).
+
+## Training data
+
+We used the following corpora for pre-training:
+
+- Japanese Wikipedia (as of 20221020, 3.2GB, 27M sentences, 1.3M documents)
+- Japanese portion of CC-100 (85GB, 619M sentences, 66M documents)
+- Japanese portion of OSCAR (54GB, 326M sentences, 25M documents)
+
+Note that we filtered out documents annotated with "header", "footer", or "noisy" tags in OSCAR.
+Also note that Japanese Wikipedia was duplicated 10 times to make the total size of the corpus comparable to that of CC-100 and OSCAR. As a result, the total size of the training data is 171GB.
+
+## Training procedure
+
+We first segmented texts in the corpora into words using [Juman++ 2.0.0-rc3](https://github.com/ku-nlp/jumanpp/releases/tag/v2.0.0-rc3) for whole word masking.
+Then, we built a sentencepiece model with 22,012 tokens including all characters that appear in the training corpus.
+
+We tokenized raw corpora into character-level subwords using the sentencepiece model and trained the Japanese DeBERTa model using [transformers](https://github.com/huggingface/transformers) library.
+The training took 26 days using 16 NVIDIA A100-SXM4-40GB GPUs.
+
+The following hyperparameters were used during pre-training:
+
+- learning_rate: 1e-4
+- per_device_train_batch_size: 26
+- distributed_type: multi-GPU
+- num_devices: 16
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 3,328
+- max_seq_length: 512
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
+- lr_scheduler_type: linear schedule with warmup (lr = 0 at 300k steps)
+- training_steps: 260,000
+- warmup_steps: 10,000
+
+The accuracy of the trained model on the masked language modeling task was 0.795.
+The evaluation set consists of 5,000 randomly sampled documents from each of the training corpora.
+
+## Acknowledgments
+
+This work was supported by Joint Usage/Research Center for Interdisciplinary Large-scale Information Infrastructures (JHPCN) through General Collaboration Project no. jh221004, "Developing a Platform for Constructing and Sharing of Large-Scale Japanese Language Models".
+For training models, we used the mdx: a platform for the data-driven future.
diff --git a/data/bert/deberta-v2-large-japanese-char-wwm/config.json b/data/bert/deberta-v2-large-japanese-char-wwm/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..9fb6b0ac2ec49b6556e58b5ed9492eb33166714d
--- /dev/null
+++ b/data/bert/deberta-v2-large-japanese-char-wwm/config.json
@@ -0,0 +1,37 @@
+{
+ "architectures": [
+ "DebertaV2ForMaskedLM"
+ ],
+ "attention_head_size": 64,
+ "attention_probs_dropout_prob": 0.1,
+ "conv_act": "gelu",
+ "conv_kernel_size": 3,
+ "hidden_act": "gelu",
+ "hidden_dropout_prob": 0.1,
+ "hidden_size": 1024,
+ "initializer_range": 0.02,
+ "intermediate_size": 4096,
+ "layer_norm_eps": 1e-07,
+ "max_position_embeddings": 512,
+ "max_relative_positions": -1,
+ "model_type": "deberta-v2",
+ "norm_rel_ebd": "layer_norm",
+ "num_attention_heads": 16,
+ "num_hidden_layers": 24,
+ "pad_token_id": 0,
+ "pooler_dropout": 0,
+ "pooler_hidden_act": "gelu",
+ "pooler_hidden_size": 1024,
+ "pos_att_type": [
+ "p2c",
+ "c2p"
+ ],
+ "position_biased_input": false,
+ "position_buckets": 256,
+ "relative_attention": true,
+ "share_att_key": true,
+ "torch_dtype": "float16",
+ "transformers_version": "4.25.1",
+ "type_vocab_size": 0,
+ "vocab_size": 22012
+}
diff --git a/data/bert/deberta-v2-large-japanese-char-wwm/special_tokens_map.json b/data/bert/deberta-v2-large-japanese-char-wwm/special_tokens_map.json
new file mode 100644
index 0000000000000000000000000000000000000000..a8b3208c2884c4efb86e49300fdd3dc877220cdf
--- /dev/null
+++ b/data/bert/deberta-v2-large-japanese-char-wwm/special_tokens_map.json
@@ -0,0 +1,7 @@
+{
+ "cls_token": "[CLS]",
+ "mask_token": "[MASK]",
+ "pad_token": "[PAD]",
+ "sep_token": "[SEP]",
+ "unk_token": "[UNK]"
+}
diff --git a/data/bert/deberta-v2-large-japanese-char-wwm/tokenizer_config.json b/data/bert/deberta-v2-large-japanese-char-wwm/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..8ab2175580e45760875557201e5543019ca3039b
--- /dev/null
+++ b/data/bert/deberta-v2-large-japanese-char-wwm/tokenizer_config.json
@@ -0,0 +1,19 @@
+{
+ "cls_token": "[CLS]",
+ "do_lower_case": false,
+ "do_subword_tokenize": true,
+ "do_word_tokenize": true,
+ "jumanpp_kwargs": null,
+ "mask_token": "[MASK]",
+ "mecab_kwargs": null,
+ "model_max_length": 1000000000000000019884624838656,
+ "never_split": null,
+ "pad_token": "[PAD]",
+ "sep_token": "[SEP]",
+ "special_tokens_map_file": null,
+ "subword_tokenizer_type": "character",
+ "sudachi_kwargs": null,
+ "tokenizer_class": "BertJapaneseTokenizer",
+ "unk_token": "[UNK]",
+ "word_tokenizer_type": "basic"
+}
diff --git a/data/bert/deberta-v2-large-japanese-char-wwm/vocab.txt b/data/bert/deberta-v2-large-japanese-char-wwm/vocab.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ef3652a1877f4c898e6fcb3e605c432c7bcc56b1
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diff --git a/data/bert/deberta-v2-large-japanese/.gitattributes b/data/bert/deberta-v2-large-japanese/.gitattributes
new file mode 100644
index 0000000000000000000000000000000000000000..c7d9f3332a950355d5a77d85000f05e6f45435ea
--- /dev/null
+++ b/data/bert/deberta-v2-large-japanese/.gitattributes
@@ -0,0 +1,34 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
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diff --git a/data/bert/deberta-v2-large-japanese/README.md b/data/bert/deberta-v2-large-japanese/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c32f3b386ccc972dd0e6a0ff265964c10e607863
--- /dev/null
+++ b/data/bert/deberta-v2-large-japanese/README.md
@@ -0,0 +1,111 @@
+---
+language: ja
+license: cc-by-sa-4.0
+library_name: transformers
+tags:
+ - deberta
+ - deberta-v2
+ - fill-mask
+datasets:
+ - wikipedia
+ - cc100
+ - oscar
+metrics:
+ - accuracy
+mask_token: "[MASK]"
+widget:
+ - text: "京都 大学 で 自然 言語 処理 を [MASK] する 。"
+---
+
+# Model Card for Japanese DeBERTa V2 large
+
+## Model description
+
+This is a Japanese DeBERTa V2 large model pre-trained on Japanese Wikipedia, the Japanese portion of CC-100, and the
+Japanese portion of OSCAR.
+
+## How to use
+
+You can use this model for masked language modeling as follows:
+
+```python
+from transformers import AutoTokenizer, AutoModelForMaskedLM
+
+tokenizer = AutoTokenizer.from_pretrained('ku-nlp/deberta-v2-large-japanese')
+model = AutoModelForMaskedLM.from_pretrained('ku-nlp/deberta-v2-large-japanese')
+
+sentence = '京都 大学 で 自然 言語 処理 を [MASK] する 。' # input should be segmented into words by Juman++ in advance
+encoding = tokenizer(sentence, return_tensors='pt')
+...
+```
+
+You can also fine-tune this model on downstream tasks.
+
+## Tokenization
+
+The input text should be segmented into words by [Juman++](https://github.com/ku-nlp/jumanpp) in
+advance. [Juman++ 2.0.0-rc3](https://github.com/ku-nlp/jumanpp/releases/tag/v2.0.0-rc3) was used for pre-training. Each
+word is tokenized into subwords by [sentencepiece](https://github.com/google/sentencepiece).
+
+## Training data
+
+We used the following corpora for pre-training:
+
+- Japanese Wikipedia (as of 20221020, 3.2GB, 27M sentences, 1.3M documents)
+- Japanese portion of CC-100 (85GB, 619M sentences, 66M documents)
+- Japanese portion of OSCAR (54GB, 326M sentences, 25M documents)
+
+Note that we filtered out documents annotated with "header", "footer", or "noisy" tags in OSCAR.
+Also note that Japanese Wikipedia was duplicated 10 times to make the total size of the corpus comparable to that of
+CC-100 and OSCAR. As a result, the total size of the training data is 171GB.
+
+## Training procedure
+
+We first segmented texts in the corpora into words using [Juman++](https://github.com/ku-nlp/jumanpp).
+Then, we built a sentencepiece model with 32000 tokens including words ([JumanDIC](https://github.com/ku-nlp/JumanDIC))
+and subwords induced by the unigram language model of [sentencepiece](https://github.com/google/sentencepiece).
+
+We tokenized the segmented corpora into subwords using the sentencepiece model and trained the Japanese DeBERTa model
+using [transformers](https://github.com/huggingface/transformers) library.
+The training took 36 days using 8 NVIDIA A100-SXM4-40GB GPUs.
+
+The following hyperparameters were used during pre-training:
+
+- learning_rate: 1e-4
+- per_device_train_batch_size: 18
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 2,304
+- max_seq_length: 512
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
+- lr_scheduler_type: linear schedule with warmup
+- training_steps: 300,000
+- warmup_steps: 10,000
+
+The accuracy of the trained model on the masked language modeling task was 0.799.
+The evaluation set consists of 5,000 randomly sampled documents from each of the training corpora.
+
+## Fine-tuning on NLU tasks
+
+We fine-tuned the following models and evaluated them on the dev set of JGLUE.
+We tuned learning rate and training epochs for each model and task
+following [the JGLUE paper](https://www.jstage.jst.go.jp/article/jnlp/30/1/30_63/_pdf/-char/ja).
+
+| Model | MARC-ja/acc | JSTS/pearson | JSTS/spearman | JNLI/acc | JSQuAD/EM | JSQuAD/F1 | JComQA/acc |
+|-------------------------------|-------------|--------------|---------------|----------|-----------|-----------|------------|
+| Waseda RoBERTa base | 0.965 | 0.913 | 0.876 | 0.905 | 0.853 | 0.916 | 0.853 |
+| Waseda RoBERTa large (seq512) | 0.969 | 0.925 | 0.890 | 0.928 | 0.910 | 0.955 | 0.900 |
+| LUKE Japanese base* | 0.965 | 0.916 | 0.877 | 0.912 | - | - | 0.842 |
+| LUKE Japanese large* | 0.965 | 0.932 | 0.902 | 0.927 | - | - | 0.893 |
+| DeBERTaV2 base | 0.970 | 0.922 | 0.886 | 0.922 | 0.899 | 0.951 | 0.873 |
+| DeBERTaV2 large | 0.968 | 0.925 | 0.892 | 0.924 | 0.912 | 0.959 | 0.890 |
+
+*The scores of LUKE are from [the official repository](https://github.com/studio-ousia/luke).
+
+## Acknowledgments
+
+This work was supported by Joint Usage/Research Center for Interdisciplinary Large-scale Information Infrastructures (
+JHPCN) through General Collaboration Project no. jh221004, "Developing a Platform for Constructing and Sharing of
+Large-Scale Japanese Language Models".
+For training models, we used the mdx: a platform for the data-driven future.
diff --git a/data/bert/deberta-v2-large-japanese/config.json b/data/bert/deberta-v2-large-japanese/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..e111e8bb14968db0aa1c99ecd3a2cf80ec0a0d8b
--- /dev/null
+++ b/data/bert/deberta-v2-large-japanese/config.json
@@ -0,0 +1,38 @@
+{
+ "_name_or_path": "configs/deberta_v2_large.json",
+ "architectures": [
+ "DebertaV2ForMaskedLM"
+ ],
+ "attention_head_size": 64,
+ "attention_probs_dropout_prob": 0.1,
+ "conv_act": "gelu",
+ "conv_kernel_size": 3,
+ "hidden_act": "gelu",
+ "hidden_dropout_prob": 0.1,
+ "hidden_size": 1024,
+ "initializer_range": 0.02,
+ "intermediate_size": 4096,
+ "layer_norm_eps": 1e-07,
+ "max_position_embeddings": 512,
+ "max_relative_positions": -1,
+ "model_type": "deberta-v2",
+ "norm_rel_ebd": "layer_norm",
+ "num_attention_heads": 16,
+ "num_hidden_layers": 24,
+ "pad_token_id": 0,
+ "pooler_dropout": 0,
+ "pooler_hidden_act": "gelu",
+ "pooler_hidden_size": 1024,
+ "pos_att_type": [
+ "p2c",
+ "c2p"
+ ],
+ "position_biased_input": false,
+ "position_buckets": 256,
+ "relative_attention": true,
+ "share_att_key": true,
+ "torch_dtype": "float32",
+ "transformers_version": "4.23.1",
+ "type_vocab_size": 0,
+ "vocab_size": 32000
+}
diff --git a/data/bert/deberta-v2-large-japanese/special_tokens_map.json b/data/bert/deberta-v2-large-japanese/special_tokens_map.json
new file mode 100644
index 0000000000000000000000000000000000000000..e5cc7333cad21d1cec0eaded41e64d7eccf8230d
--- /dev/null
+++ b/data/bert/deberta-v2-large-japanese/special_tokens_map.json
@@ -0,0 +1,9 @@
+{
+ "bos_token": "[CLS]",
+ "cls_token": "[CLS]",
+ "eos_token": "[SEP]",
+ "mask_token": "[MASK]",
+ "pad_token": "[PAD]",
+ "sep_token": "[SEP]",
+ "unk_token": "[UNK]"
+}
diff --git a/data/bert/deberta-v2-large-japanese/tokenizer.json b/data/bert/deberta-v2-large-japanese/tokenizer.json
new file mode 100644
index 0000000000000000000000000000000000000000..f5a7e168728d36fe2f0c3950b98b25b097640bf8
--- /dev/null
+++ b/data/bert/deberta-v2-large-japanese/tokenizer.json
@@ -0,0 +1,128169 @@
+{
+ "version": "1.0",
+ "truncation": null,
+ "padding": null,
+ "added_tokens": [
+ {
+ "id": 0,
+ "content": "[PAD]",
+ "single_word": false,
+ "lstrip": false,
+ "rstrip": false,
+ "normalized": false,
+ "special": true
+ },
+ {
+ "id": 1,
+ "content": "[CLS]",
+ "single_word": false,
+ "lstrip": false,
+ "rstrip": false,
+ "normalized": false,
+ "special": true
+ },
+ {
+ "id": 2,
+ "content": "[SEP]",
+ "single_word": false,
+ "lstrip": false,
+ "rstrip": false,
+ "normalized": false,
+ "special": true
+ },
+ {
+ "id": 3,
+ "content": "[UNK]",
+ "single_word": false,
+ "lstrip": false,
+ "rstrip": false,
+ "normalized": false,
+ "special": true
+ },
+ {
+ "id": 4,
+ "content": "[MASK]",
+ "single_word": false,
+ "lstrip": false,
+ "rstrip": false,
+ "normalized": false,
+ "special": true
+ }
+ ],
+ "normalizer": {
+ "type": "Sequence",
+ "normalizers": [
+ {
+ "type": "Strip",
+ "strip_left": true,
+ "strip_right": true
+ },
+ {
+ "type": "Precompiled",
+ "precompiled_charsmap": 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diff --git a/data/bert/deberta-v2-large-japanese/tokenizer_config.json b/data/bert/deberta-v2-large-japanese/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..315361529436022b07ca24990901ed25c851a0cf
--- /dev/null
+++ b/data/bert/deberta-v2-large-japanese/tokenizer_config.json
@@ -0,0 +1,15 @@
+{
+ "bos_token": "[CLS]",
+ "cls_token": "[CLS]",
+ "do_lower_case": false,
+ "eos_token": "[SEP]",
+ "keep_accents": true,
+ "mask_token": "[MASK]",
+ "pad_token": "[PAD]",
+ "sep_token": "[SEP]",
+ "sp_model_kwargs": {},
+ "special_tokens_map_file": null,
+ "split_by_punct": false,
+ "tokenizer_class": "DebertaV2Tokenizer",
+ "unk_token": "[UNK]"
+}
diff --git a/data/bert/deberta-v3-large/.gitattributes b/data/bert/deberta-v3-large/.gitattributes
new file mode 100644
index 0000000000000000000000000000000000000000..957b2579c6ef20995a09efd9a17f8fd90606f5ed
--- /dev/null
+++ b/data/bert/deberta-v3-large/.gitattributes
@@ -0,0 +1,27 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zstandard filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
diff --git a/data/bert/deberta-v3-large/README.md b/data/bert/deberta-v3-large/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..e2ff251e2b40e3405e2dbc2e0687c0adcafe5305
--- /dev/null
+++ b/data/bert/deberta-v3-large/README.md
@@ -0,0 +1,93 @@
+---
+language: en
+tags:
+ - deberta
+ - deberta-v3
+ - fill-mask
+thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
+license: mit
+---
+
+## DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing
+
+[DeBERTa](https://arxiv.org/abs/2006.03654) improves the BERT and RoBERTa models using disentangled attention and enhanced mask decoder. With those two improvements, DeBERTa out perform RoBERTa on a majority of NLU tasks with 80GB training data.
+
+In [DeBERTa V3](https://arxiv.org/abs/2111.09543), we further improved the efficiency of DeBERTa using ELECTRA-Style pre-training with Gradient Disentangled Embedding Sharing. Compared to DeBERTa, our V3 version significantly improves the model performance on downstream tasks. You can find more technique details about the new model from our [paper](https://arxiv.org/abs/2111.09543).
+
+Please check the [official repository](https://github.com/microsoft/DeBERTa) for more implementation details and updates.
+
+The DeBERTa V3 large model comes with 24 layers and a hidden size of 1024. It has 304M backbone parameters with a vocabulary containing 128K tokens which introduces 131M parameters in the Embedding layer. This model was trained using the 160GB data as DeBERTa V2.
+
+
+#### Fine-tuning on NLU tasks
+
+We present the dev results on SQuAD 2.0 and MNLI tasks.
+
+| Model |Vocabulary(K)|Backbone #Params(M)| SQuAD 2.0(F1/EM) | MNLI-m/mm(ACC)|
+|-------------------|----------|-------------------|-----------|----------|
+| RoBERTa-large |50 |304 | 89.4/86.5 | 90.2 |
+| XLNet-large |32 |- | 90.6/87.9 | 90.8 |
+| DeBERTa-large |50 |- | 90.7/88.0 | 91.3 |
+| **DeBERTa-v3-large**|128|304 | **91.5/89.0**| **91.8/91.9**|
+
+
+#### Fine-tuning with HF transformers
+
+```bash
+#!/bin/bash
+
+cd transformers/examples/pytorch/text-classification/
+
+pip install datasets
+export TASK_NAME=mnli
+
+output_dir="ds_results"
+
+num_gpus=8
+
+batch_size=8
+
+python -m torch.distributed.launch --nproc_per_node=${num_gpus} \
+ run_glue.py \
+ --model_name_or_path microsoft/deberta-v3-large \
+ --task_name $TASK_NAME \
+ --do_train \
+ --do_eval \
+ --evaluation_strategy steps \
+ --max_seq_length 256 \
+ --warmup_steps 50 \
+ --per_device_train_batch_size ${batch_size} \
+ --learning_rate 6e-6 \
+ --num_train_epochs 2 \
+ --output_dir $output_dir \
+ --overwrite_output_dir \
+ --logging_steps 1000 \
+ --logging_dir $output_dir
+
+```
+
+### Citation
+
+If you find DeBERTa useful for your work, please cite the following papers:
+
+``` latex
+@misc{he2021debertav3,
+ title={DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing},
+ author={Pengcheng He and Jianfeng Gao and Weizhu Chen},
+ year={2021},
+ eprint={2111.09543},
+ archivePrefix={arXiv},
+ primaryClass={cs.CL}
+}
+```
+
+``` latex
+@inproceedings{
+he2021deberta,
+title={DEBERTA: DECODING-ENHANCED BERT WITH DISENTANGLED ATTENTION},
+author={Pengcheng He and Xiaodong Liu and Jianfeng Gao and Weizhu Chen},
+booktitle={International Conference on Learning Representations},
+year={2021},
+url={https://openreview.net/forum?id=XPZIaotutsD}
+}
+```
diff --git a/data/bert/deberta-v3-large/config.json b/data/bert/deberta-v3-large/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..9d95ab0632a030f501c2e15336123041c556b8a7
--- /dev/null
+++ b/data/bert/deberta-v3-large/config.json
@@ -0,0 +1,22 @@
+{
+ "model_type": "deberta-v2",
+ "attention_probs_dropout_prob": 0.1,
+ "hidden_act": "gelu",
+ "hidden_dropout_prob": 0.1,
+ "hidden_size": 1024,
+ "initializer_range": 0.02,
+ "intermediate_size": 4096,
+ "max_position_embeddings": 512,
+ "relative_attention": true,
+ "position_buckets": 256,
+ "norm_rel_ebd": "layer_norm",
+ "share_att_key": true,
+ "pos_att_type": "p2c|c2p",
+ "layer_norm_eps": 1e-7,
+ "max_relative_positions": -1,
+ "position_biased_input": false,
+ "num_attention_heads": 16,
+ "num_hidden_layers": 24,
+ "type_vocab_size": 0,
+ "vocab_size": 128100
+}
diff --git a/data/bert/deberta-v3-large/generator_config.json b/data/bert/deberta-v3-large/generator_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..97bd497a506de3bf306f52506fab62cdb954a262
--- /dev/null
+++ b/data/bert/deberta-v3-large/generator_config.json
@@ -0,0 +1,22 @@
+{
+ "model_type": "deberta-v2",
+ "attention_probs_dropout_prob": 0.1,
+ "hidden_act": "gelu",
+ "hidden_dropout_prob": 0.1,
+ "hidden_size": 1024,
+ "initializer_range": 0.02,
+ "intermediate_size": 4096,
+ "max_position_embeddings": 512,
+ "relative_attention": true,
+ "position_buckets": 256,
+ "norm_rel_ebd": "layer_norm",
+ "share_att_key": true,
+ "pos_att_type": "p2c|c2p",
+ "layer_norm_eps": 1e-7,
+ "max_relative_positions": -1,
+ "position_biased_input": false,
+ "num_attention_heads": 16,
+ "num_hidden_layers": 12,
+ "type_vocab_size": 0,
+ "vocab_size": 128100
+}
diff --git a/data/bert/deberta-v3-large/tokenizer_config.json b/data/bert/deberta-v3-large/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..acfd94e399c5659e4bed75f91b4ee24b111fc7a6
--- /dev/null
+++ b/data/bert/deberta-v3-large/tokenizer_config.json
@@ -0,0 +1,4 @@
+{
+ "do_lower_case": false,
+ "vocab_type": "spm"
+}
diff --git a/data/bert/vits_chinese_bert/config.json b/data/bert/vits_chinese_bert/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..adb75ff5aaacf4050df7a63916e863f14fb7f644
--- /dev/null
+++ b/data/bert/vits_chinese_bert/config.json
@@ -0,0 +1,19 @@
+{
+ "attention_probs_dropout_prob": 0.1,
+ "directionality": "bidi",
+ "hidden_act": "gelu",
+ "hidden_dropout_prob": 0.1,
+ "hidden_size": 768,
+ "initializer_range": 0.02,
+ "intermediate_size": 3072,
+ "max_position_embeddings": 512,
+ "num_attention_heads": 12,
+ "num_hidden_layers": 12,
+ "pooler_fc_size": 768,
+ "pooler_num_attention_heads": 12,
+ "pooler_num_fc_layers": 3,
+ "pooler_size_per_head": 128,
+ "pooler_type": "first_token_transform",
+ "type_vocab_size": 2,
+ "vocab_size": 21128
+}
diff --git a/data/bert/vits_chinese_bert/vocab.txt b/data/bert/vits_chinese_bert/vocab.txt
new file mode 100644
index 0000000000000000000000000000000000000000..66b6d20eebda7da8499e68ef9b1980990c0042cc
--- /dev/null
+++ b/data/bert/vits_chinese_bert/vocab.txt
@@ -0,0 +1,21128 @@
+[PAD]
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+##👍
+##🔥
+##😂
+##😎
diff --git a/data/emotional/clap-htsat-fused/.gitattributes b/data/emotional/clap-htsat-fused/.gitattributes
new file mode 100644
index 0000000000000000000000000000000000000000..c7d9f3332a950355d5a77d85000f05e6f45435ea
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+*.7z filter=lfs diff=lfs merge=lfs -text
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+*.ckpt filter=lfs diff=lfs merge=lfs -text
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+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
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diff --git a/data/emotional/clap-htsat-fused/README.md b/data/emotional/clap-htsat-fused/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..9153cca1e30833467025c36c0d14d1cd9d4d9c37
--- /dev/null
+++ b/data/emotional/clap-htsat-fused/README.md
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+---
+license: apache-2.0
+---
+# Model card for CLAP
+
+Model card for CLAP: Contrastive Language-Audio Pretraining
+
+
+
+
+# Table of Contents
+
+0. [TL;DR](#TL;DR)
+1. [Model Details](#model-details)
+2. [Usage](#usage)
+3. [Uses](#uses)
+4. [Citation](#citation)
+
+# TL;DR
+
+The abstract of the paper states that:
+
+> Contrastive learning has shown remarkable success in the field of multimodal representation learning. In this paper, we propose a pipeline of contrastive language-audio pretraining to develop an audio representation by combining audio data with natural language descriptions. To accomplish this target, we first release LAION-Audio-630K, a large collection of 633,526 audio-text pairs from different data sources. Second, we construct a contrastive language-audio pretraining model by considering different audio encoders and text encoders. We incorporate the feature fusion mechanism and keyword-to-caption augmentation into the model design to further enable the model to process audio inputs of variable lengths and enhance the performance. Third, we perform comprehensive experiments to evaluate our model across three tasks: text-to-audio retrieval, zero-shot audio classification, and supervised audio classification. The results demonstrate that our model achieves superior performance in text-to-audio retrieval task. In audio classification tasks, the model achieves state-of-the-art performance in the zero-shot setting and is able to obtain performance comparable to models' results in the non-zero-shot setting. LAION-Audio-630K and the proposed model are both available to the public.
+
+
+# Usage
+
+You can use this model for zero shot audio classification or extracting audio and/or textual features.
+
+# Uses
+
+## Perform zero-shot audio classification
+
+### Using `pipeline`
+
+```python
+from datasets import load_dataset
+from transformers import pipeline
+
+dataset = load_dataset("ashraq/esc50")
+audio = dataset["train"]["audio"][-1]["array"]
+
+audio_classifier = pipeline(task="zero-shot-audio-classification", model="laion/clap-htsat-fused")
+output = audio_classifier(audio, candidate_labels=["Sound of a dog", "Sound of vaccum cleaner"])
+print(output)
+>>> [{"score": 0.999, "label": "Sound of a dog"}, {"score": 0.001, "label": "Sound of vaccum cleaner"}]
+```
+
+## Run the model:
+
+You can also get the audio and text embeddings using `ClapModel`
+
+### Run the model on CPU:
+
+```python
+from datasets import load_dataset
+from transformers import ClapModel, ClapProcessor
+
+librispeech_dummy = load_dataset("hf-internal-testing/librispeech_asr_dummy", "clean", split="validation")
+audio_sample = librispeech_dummy[0]
+
+model = ClapModel.from_pretrained("laion/clap-htsat-fused")
+processor = ClapProcessor.from_pretrained("laion/clap-htsat-fused")
+
+inputs = processor(audios=audio_sample["audio"]["array"], return_tensors="pt")
+audio_embed = model.get_audio_features(**inputs)
+```
+
+### Run the model on GPU:
+
+```python
+from datasets import load_dataset
+from transformers import ClapModel, ClapProcessor
+
+librispeech_dummy = load_dataset("hf-internal-testing/librispeech_asr_dummy", "clean", split="validation")
+audio_sample = librispeech_dummy[0]
+
+model = ClapModel.from_pretrained("laion/clap-htsat-fused").to(0)
+processor = ClapProcessor.from_pretrained("laion/clap-htsat-fused")
+
+inputs = processor(audios=audio_sample["audio"]["array"], return_tensors="pt").to(0)
+audio_embed = model.get_audio_features(**inputs)
+```
+
+
+# Citation
+
+If you are using this model for your work, please consider citing the original paper:
+```
+@misc{https://doi.org/10.48550/arxiv.2211.06687,
+ doi = {10.48550/ARXIV.2211.06687},
+
+ url = {https://arxiv.org/abs/2211.06687},
+
+ author = {Wu, Yusong and Chen, Ke and Zhang, Tianyu and Hui, Yuchen and Berg-Kirkpatrick, Taylor and Dubnov, Shlomo},
+
+ keywords = {Sound (cs.SD), Audio and Speech Processing (eess.AS), FOS: Computer and information sciences, FOS: Computer and information sciences, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering},
+
+ title = {Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation},
+
+ publisher = {arXiv},
+
+ year = {2022},
+
+ copyright = {Creative Commons Attribution 4.0 International}
+}
+```
diff --git a/data/emotional/clap-htsat-fused/config.json b/data/emotional/clap-htsat-fused/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..7907d3cde2ed499c697371287e288aa2beded3f9
--- /dev/null
+++ b/data/emotional/clap-htsat-fused/config.json
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+{
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+ ],
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+ "type_vocab_size": 1,
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+ "use_bfloat16": false,
+ "use_cache": true,
+ "vocab_size": 50265
+ },
+ "torch_dtype": "float32",
+ "transformers_version": null
+}
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diff --git a/data/emotional/clap-htsat-fused/preprocessor_config.json b/data/emotional/clap-htsat-fused/preprocessor_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..d439910a3317697a54f06ad5083af1810c27d803
--- /dev/null
+++ b/data/emotional/clap-htsat-fused/preprocessor_config.json
@@ -0,0 +1,22 @@
+{
+ "chunk_length_s": 10,
+ "feature_extractor_type": "ClapFeatureExtractor",
+ "feature_size": 64,
+ "fft_window_size": 1024,
+ "frequency_max": 14000,
+ "frequency_min": 50,
+ "hop_length": 480,
+ "max_length_s": 10,
+ "n_fft": 1024,
+ "nb_frequency_bins": 513,
+ "nb_max_frames": 1000,
+ "nb_max_samples": 480000,
+ "padding": "repeatpad",
+ "padding_side": "right",
+ "padding_value": 0.0,
+ "processor_class": "ClapProcessor",
+ "return_attention_mask": false,
+ "sampling_rate": 48000,
+ "top_db": null,
+ "truncation": "fusion"
+}
diff --git a/data/emotional/clap-htsat-fused/special_tokens_map.json b/data/emotional/clap-htsat-fused/special_tokens_map.json
new file mode 100644
index 0000000000000000000000000000000000000000..d5698132694f4f1bcff08fa7d937b1701812598e
--- /dev/null
+++ b/data/emotional/clap-htsat-fused/special_tokens_map.json
@@ -0,0 +1,15 @@
+{
+ "bos_token": "",
+ "cls_token": "",
+ "eos_token": "",
+ "mask_token": {
+ "content": "",
+ "lstrip": true,
+ "normalized": false,
+ "rstrip": false,
+ "single_word": false
+ },
+ "pad_token": "",
+ "sep_token": "",
+ "unk_token": ""
+}
diff --git a/data/emotional/clap-htsat-fused/tokenizer.json b/data/emotional/clap-htsat-fused/tokenizer.json
new file mode 100644
index 0000000000000000000000000000000000000000..1d192010b9fa42aebf86daf4d585098ab39e7f99
--- /dev/null
+++ b/data/emotional/clap-htsat-fused/tokenizer.json
@@ -0,0 +1,100362 @@
+{
+ "version": "1.0",
+ "truncation": null,
+ "padding": {
+ "strategy": "BatchLongest",
+ "direction": "Right",
+ "pad_to_multiple_of": null,
+ "pad_id": 1,
+ "pad_type_id": 0,
+ "pad_token": ""
+ },
+ "added_tokens": [
+ {
+ "id": 0,
+ "content": "",
+ "single_word": false,
+ "lstrip": false,
+ "rstrip": false,
+ "normalized": false,
+ "special": true
+ },
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+ "normalized": false,
+ "special": true
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+ "special": true
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+ "content": "",
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+ "lstrip": true,
+ "rstrip": false,
+ "normalized": false,
+ "special": true
+ }
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+ "normalizer": null,
+ "pre_tokenizer": {
+ "type": "ByteLevel",
+ "add_prefix_space": false,
+ "trim_offsets": true,
+ "use_regex": true
+ },
+ "post_processor": {
+ "type": "RobertaProcessing",
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+ "",
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+ "trim_offsets": true,
+ "use_regex": true
+ },
+ "model": {
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+ "fuse_unk": false,
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