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Cross Language Search

Search cliassical CN with modern ZH

  • In some cases, Classical Chinese feels like another language, I even trained 2 translation models (1 and 2) to prove this point.
  • That's why, when people wants to be savvy about their words, we choose to quote our ancestors. It's exactly like westerners like to quote Latin or Shakespeare, the difference is we have a much bigger pool to choose.
  • This model helps you find text within ancient Chinese literature, but you can search with modern Chinese

跨语种搜索

博古搜今

  • 我不记得是谁, 哪个朝代,我只记得大概这么一个事儿,我就能模糊找到原文
  • 我不记得原文, 但是我只记得原文想表达的现代汉语意思, 希望能找出来引用一下。
  • 我在写文章, 有个观点, 我想碰运气看看古人有没有提过同样类似的说法。
  • 我只是想更有效率地阅读古文

推荐的使用通道如下,当然, cosine距离搜索相关的框架和引擎很多, 大家自己看着适用的选

装包

pip install -Uqq unpackai
pip install -Uqq SentenceTransformer

搜索语句的函数

from unpackai.interp import CosineSearch
from sentence_transformers import SentenceTransformer
import pandas as pd
import numpy as np

TAG = "raynardj/xlsearch-cross-lang-search-zh-vs-classicical-cn"
encoder = SentenceTransformer(TAG)

# all_lines is a list of all your sentences
# all_lines 是一个你所有句子的列表, 可以是一本书, 按照句子分割, 也可以是很多很多书
all_lines = ["句子1","句子2",...]
vec = encoder.encode(all_lines, batch_size=32, show_progress_bar=True)

# consine距离搜索器
cosine = CosineSearch(vec)

def search(text):
    enc = encoder.encode(text) # encode the search key
    order = cosine(enc) # distance array
    sentence_df = pd.DataFrame({"sentence":np.array(all_lines)[order[:5]]})
    return sentence_df

将史记打成句子以后, 搜索效果是这样的:

>>> search("他是一个很慷慨的人")
sentence
0	季布者,楚人也。为气任侠,有名於楚。
1	董仲舒为人廉直。
2	大将军为人仁善退让,以和柔自媚於上,然天下未有称也。
3	勃为人木彊敦厚,高帝以为可属大事。
4	石奢者,楚昭王相也。坚直廉正,无所阿避。
>>> search("进入军营,必须缓缓牵着马骑")
sentence
0	壁门士吏谓从属车骑曰:将军约,军中不得驱驰。
1	起之为将,与士卒最下者同衣食。卧不设席,行不骑乘,亲裹赢粮,与士卒分劳苦。
2	既出,沛公留车骑,独骑一马,与樊哙等四人步从,从间道山下归走霸上军,而使张良谢项羽。
3	顷之,上行出中渭桥,有一人从穚下走出,乘舆马惊。
4	元狩四年春,上令大将军青、骠骑将军去病将各五万骑,步兵转者踵军数十万,而敢力战深入之士皆属骠骑。

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