ljvmiranda921
commited on
Commit
•
6449426
1
Parent(s):
74d3e12
(calamanCy 0.1.0): Update spaCy pipeline
Browse files- .gitattributes +7 -0
- README.md +36 -0
- config.cfg +220 -0
- meta.json +192 -0
- morphologizer/cfg +178 -0
- morphologizer/model +0 -0
- ner/cfg +13 -0
- ner/model +3 -0
- ner/moves +1 -0
- parser/cfg +13 -0
- parser/model +3 -0
- parser/moves +1 -0
- tagger/cfg +29 -0
- tagger/model +0 -0
- tl_calamancy_lg-any-py3-none-any.whl +3 -0
- tok2vec/cfg +3 -0
- tok2vec/model +3 -0
- tokenizer +3 -0
- vocab/key2row +3 -0
- vocab/lookups.bin +3 -0
- vocab/strings.json +3 -0
- vocab/vectors +3 -0
- vocab/vectors.cfg +3 -0
.gitattributes
CHANGED
@@ -33,3 +33,10 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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ner/model filter=lfs diff=lfs merge=lfs -text
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parser/model filter=lfs diff=lfs merge=lfs -text
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tl_calamancy_lg-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
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tok2vec/model filter=lfs diff=lfs merge=lfs -text
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vocab/key2row filter=lfs diff=lfs merge=lfs -text
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vocab/strings.json filter=lfs diff=lfs merge=lfs -text
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vocab/vectors filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
@@ -0,0 +1,36 @@
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---
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tags:
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- spacy
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- token-classification
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language:
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- tl
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license: cc-by-sa-3.0
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---
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calamanCy: Tagalog NLP pipelines in spaCy
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| Feature | Description |
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| --- | --- |
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| **Name** | `tl_calamancy_lg` |
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| **Version** | `0.1.0` |
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| **spaCy** | `>=3.5.0` |
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| **Default Pipeline** | `tok2vec`, `tagger`, `morphologizer`, `parser`, `ner` |
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| **Components** | `tok2vec`, `tagger`, `morphologizer`, `parser`, `ner` |
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| **Vectors** | 714435 keys, 714435 unique vectors (300 dimensions) |
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| **Sources** | [TLUnified dataset](https://aclanthology.org/2022.lrec-1.703/) (Jan Christian Blaise Cruz and Charibeth Cheng)<br />[UD_Tagalog-TRG](https://universaldependencies.org/treebanks/tl_trg/index.html) (Stephanie Samson, Daniel Zeman, and Mary Ann C. Tan)<br />[UD_Tagalog-Ugnayan](https://universaldependencies.org/treebanks/tl_ugnayan/index.html) (Angelina Aquino) |
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| **License** | `CC BY-SA 3.0` |
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| **Author** | [Lester James V. Miranda](https://github.com/ljvmiranda921/calamanCy) |
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### Label Scheme
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<details>
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<summary>View label scheme (120 labels for 4 components)</summary>
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| Component | Labels |
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| --- | --- |
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| **`tagger`** | `ADJ`, `ADJ_PART`, `ADP`, `ADV`, `ADV_PART`, `AUX`, `CCONJ`, `DET`, `DET_ADP`, `DET_PART`, `INTJ`, `NOUN`, `NOUN_PART`, `NUM`, `NUM_PART`, `PART`, `PRON`, `PRON_PART`, `PROPN`, `PUNCT`, `SCONJ`, `VERB`, `VERB_PART` |
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| **`morphologizer`** | `Aspect=Perf\|Mood=Ind\|POS=VERB\|Voice=Act`, `Case=Nom\|POS=ADP`, `POS=NOUN`, `POS=PUNCT`, `Aspect=Perf\|Mood=Ind\|POS=VERB\|Voice=Pass`, `Case=Gen\|POS=ADP`, `Case=Gen\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Aspect=Imp\|Mood=Ind\|POS=VERB\|Voice=Act`, `POS=ADV\|PronType=Dem`, `Foreign=Yes\|POS=NOUN`, `Degree=Pos\|POS=ADJ`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Deixis=Med\|Number=Sing\|POS=PRON\|PronType=Dem`, `Gender=Masc\|POS=PROPN`, `Case=Gen\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Degree=Pos\|Link=Yes\|POS=ADJ`, `POS=ADP`, `Case=Dat\|POS=ADP`, `POS=VERB\|Polarity=Pos`, `Aspect=Hab\|POS=VERB`, `POS=SCONJ`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Aspect=Prosp\|Mood=Ind\|POS=VERB\|Voice=Act`, `POS=ADV`, `POS=PART\|Polarity=Neg`, `Aspect=Imp\|Mood=Ind\|POS=VERB\|Voice=Pass`, `Aspect=Perf\|Mood=Ind\|POS=VERB\|Voice=Lfoc`, `POS=PROPN`, `Case=Nom\|Deixis=Prox\|Number=Sing\|POS=PRON\|PronType=Dem`, `Gender=Masc\|POS=NOUN`, `Gender=Fem\|POS=NOUN`, `Degree=Pos\|Gender=Fem\|POS=ADJ`, `Gender=Fem\|POS=PROPN`, `Case=Nom\|Clusivity=In\|Number=Dual\|POS=PRON\|Person=1\|PronType=Prs`, `Number=Plur\|POS=DET\|PronType=Ind`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `POS=PRON\|PronType=Prs\|Reflex=Yes`, `Gender=Masc\|POS=DET\|PronType=Emp`, `Case=Nom\|POS=PRON\|PronType=Int`, `Link=Yes\|POS=NOUN`, `POS=PART\|PartType=Int`, `POS=INTJ\|Polarity=Pos`, `Link=Yes\|POS=PART\|PartType=Int`, `POS=VERB\|Polarity=Neg`, `Degree=Pos\|POS=ADJ\|PronType=Int`, `Case=Gen\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Perf\|Mood=Ind\|POS=VERB\|PronType=Int\|Voice=Act`, `Case=Nom\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Aspect=Perf\|Mood=Ind\|POS=VERB\|PronType=Int\|Voice=Pass`, `Aspect=Perf\|Mood=Ind\|POS=VERB\|Voice=Ifoc`, `POS=ADV\|PronType=Int`, `Aspect=Prog\|Mood=Ind\|POS=VERB\|Voice=Act`, `POS=PART\|PartType=Nfh`, `Deixis=Remt\|POS=ADV\|PronType=Dem`, `Aspect=Imp\|Mood=Pot\|POS=VERB\|Voice=Act`, `Link=Yes\|POS=VERB\|Polarity=Pos`, `Link=Yes\|POS=VERB\|Polarity=Neg`, `POS=PART\|PartType=Des`, `Mood=Imp\|POS=AUX\|Polarity=Neg`, `Case=Nom\|Link=Yes\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Case=Nom\|Link=Yes\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Aspect=Prog\|Mood=Ind\|POS=VERB\|Voice=Pass`, `Aspect=Prog\|Mood=Ind\|POS=VERB\|Voice=Lfoc`, `Aspect=Prog\|Mood=Ind\|POS=VERB\|Voice=Bfoc`, `POS=DET\|PronType=Tot`, `Case=Dat\|Link=Yes\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Link=Yes\|POS=PRON\|PronType=Prs\|Reflex=Yes`, `Mood=Imp\|POS=VERB\|Voice=Act`, `Case=Dat\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Mood=Imp\|POS=VERB\|Voice=Lfoc`, `Case=Gen\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Mood=Imp\|POS=VERB\|Voice=Pass`, `Case=Gen\|Clusivity=In\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Aspect=Hab\|POS=VERB\|Voice=Pass`, `Gender=Masc\|Link=Yes\|POS=PROPN`, `Case=Gen\|Link=Yes\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Link=Yes\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `POS=ADJ`, `POS=PART`, `POS=PRON`, `POS=VERB`, `POS=INTJ`, `POS=CCONJ`, `POS=NUM`, `POS=DET` |
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| **`parser`** | `ROOT`, `advmod`, `case`, `dep`, `nmod`, `nsubj`, `obj`, `obl`, `punct` |
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| **`ner`** | `LOC`, `ORG`, `PER` |
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</details>
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config.cfg
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[paths]
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parser_model = "training/parser_tagger_lg/model-best"
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ner_model = "training/ner_lg/model-best"
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train = null
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dev = null
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vectors = null
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init_tok2vec = null
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[system]
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seed = 0
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gpu_allocator = null
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[nlp]
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lang = "tl"
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pipeline = ["tok2vec","tagger","morphologizer","parser","ner"]
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tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
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disabled = []
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before_creation = null
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after_creation = null
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after_pipeline_creation = null
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batch_size = 1000
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[components]
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[components.morphologizer]
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factory = "morphologizer"
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extend = false
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overwrite = true
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scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
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[components.morphologizer.model]
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@architectures = "spacy.Tagger.v1"
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nO = null
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[components.morphologizer.model.tok2vec]
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@architectures = "spacy.Tok2VecListener.v1"
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width = 96
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upstream = "*"
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[components.ner]
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factory = "ner"
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incorrect_spans_key = null
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moves = null
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scorer = {"@scorers":"spacy.ner_scorer.v1"}
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update_with_oracle_cut_size = 100
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[components.ner.model]
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@architectures = "spacy.TransitionBasedParser.v2"
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state_type = "ner"
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extra_state_tokens = false
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hidden_width = 64
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maxout_pieces = 2
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use_upper = true
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nO = null
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[components.ner.model.tok2vec]
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@architectures = "spacy.Tok2Vec.v2"
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[components.ner.model.tok2vec.embed]
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@architectures = "spacy.MultiHashEmbed.v2"
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width = 256
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attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
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rows = [5000,2500,2500,2500]
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include_static_vectors = true
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[components.ner.model.tok2vec.encode]
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@architectures = "spacy.MaxoutWindowEncoder.v2"
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width = 256
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depth = 8
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window_size = 1
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maxout_pieces = 3
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[components.parser]
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factory = "parser"
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learn_tokens = false
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min_action_freq = 30
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moves = null
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scorer = {"@scorers":"spacy.parser_scorer.v1"}
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update_with_oracle_cut_size = 100
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[components.parser.model]
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@architectures = "spacy.TransitionBasedParser.v2"
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state_type = "parser"
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extra_state_tokens = false
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hidden_width = 128
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maxout_pieces = 3
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use_upper = true
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nO = null
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[components.parser.model.tok2vec]
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@architectures = "spacy.Tok2VecListener.v1"
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width = 96
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upstream = "*"
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[components.tagger]
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factory = "tagger"
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neg_prefix = "!"
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overwrite = false
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scorer = {"@scorers":"spacy.tagger_scorer.v1"}
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[components.tagger.model]
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@architectures = "spacy.Tagger.v1"
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nO = null
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[components.tagger.model.tok2vec]
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@architectures = "spacy.Tok2VecListener.v1"
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width = 96
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upstream = "*"
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[components.tok2vec]
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factory = "tok2vec"
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[components.tok2vec.model]
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@architectures = "spacy.Tok2Vec.v2"
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[components.tok2vec.model.embed]
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@architectures = "spacy.MultiHashEmbed.v1"
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width = 96
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attrs = ["LOWER","PREFIX","SUFFIX","SHAPE"]
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rows = [5000,2500,2500,2500]
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include_static_vectors = false
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[components.tok2vec.model.encode]
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@architectures = "spacy.MaxoutWindowEncoder.v2"
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width = 96
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depth = 4
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window_size = 1
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maxout_pieces = 3
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[corpora]
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[corpora.dev]
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@readers = "spacy.Corpus.v1"
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path = ${paths.dev}
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gold_preproc = false
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max_length = 0
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limit = 0
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augmenter = null
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[corpora.train]
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@readers = "spacy.Corpus.v1"
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path = ${paths.train}
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gold_preproc = false
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max_length = 0
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limit = 0
|
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augmenter = null
|
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[training]
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seed = ${system.seed}
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gpu_allocator = ${system.gpu_allocator}
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dropout = 0.1
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accumulate_gradient = 1
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patience = 1600
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max_epochs = 0
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max_steps = 20000
|
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eval_frequency = 200
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frozen_components = []
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annotating_components = []
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dev_corpus = "corpora.dev"
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train_corpus = "corpora.train"
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before_to_disk = null
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before_update = null
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[training.batcher]
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@batchers = "spacy.batch_by_words.v1"
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discard_oversize = false
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167 |
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tolerance = 0.2
|
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get_length = null
|
169 |
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[training.batcher.size]
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@schedules = "compounding.v1"
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start = 100
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stop = 1000
|
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compound = 1.001
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t = 0.0
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[training.logger]
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@loggers = "spacy.ConsoleLogger.v1"
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progress_bar = false
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[training.optimizer]
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@optimizers = "Adam.v1"
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beta1 = 0.9
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184 |
+
beta2 = 0.999
|
185 |
+
L2_is_weight_decay = true
|
186 |
+
L2 = 0.01
|
187 |
+
grad_clip = 1.0
|
188 |
+
use_averages = false
|
189 |
+
eps = 0.00000001
|
190 |
+
learn_rate = 0.001
|
191 |
+
|
192 |
+
[training.score_weights]
|
193 |
+
tag_acc = 0.26
|
194 |
+
pos_acc = 0.12
|
195 |
+
morph_acc = 0.12
|
196 |
+
morph_per_feat = null
|
197 |
+
dep_uas = 0.12
|
198 |
+
dep_las = 0.12
|
199 |
+
dep_las_per_type = null
|
200 |
+
sents_p = null
|
201 |
+
sents_r = null
|
202 |
+
sents_f = 0.0
|
203 |
+
ents_f = 0.26
|
204 |
+
ents_p = 0.0
|
205 |
+
ents_r = 0.0
|
206 |
+
ents_per_type = null
|
207 |
+
|
208 |
+
[pretraining]
|
209 |
+
|
210 |
+
[initialize]
|
211 |
+
vectors = ${paths.parser_model}
|
212 |
+
init_tok2vec = ${paths.init_tok2vec}
|
213 |
+
vocab_data = null
|
214 |
+
lookups = null
|
215 |
+
before_init = null
|
216 |
+
after_init = null
|
217 |
+
|
218 |
+
[initialize.components]
|
219 |
+
|
220 |
+
[initialize.tokenizer]
|
meta.json
ADDED
@@ -0,0 +1,192 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"lang":"tl",
|
3 |
+
"name":"calamancy_lg",
|
4 |
+
"version":"0.1.0",
|
5 |
+
"description":"calamanCy: Tagalog NLP pipelines in spaCy",
|
6 |
+
"author":"Lester James V. Miranda",
|
7 |
+
"email":"ljvmiranda@gmail.com",
|
8 |
+
"url":"https://github.com/ljvmiranda921/calamanCy",
|
9 |
+
"license":"CC BY-SA 3.0",
|
10 |
+
"spacy_version":">=3.5.0",
|
11 |
+
"spacy_git_version":"Unknown",
|
12 |
+
"vectors":{
|
13 |
+
"width":300,
|
14 |
+
"vectors":714435,
|
15 |
+
"keys":714435,
|
16 |
+
"name":"tl_pipeline.vectors"
|
17 |
+
},
|
18 |
+
"labels":{
|
19 |
+
"tok2vec":[
|
20 |
+
|
21 |
+
],
|
22 |
+
"tagger":[
|
23 |
+
"ADJ",
|
24 |
+
"ADJ_PART",
|
25 |
+
"ADP",
|
26 |
+
"ADV",
|
27 |
+
"ADV_PART",
|
28 |
+
"AUX",
|
29 |
+
"CCONJ",
|
30 |
+
"DET",
|
31 |
+
"DET_ADP",
|
32 |
+
"DET_PART",
|
33 |
+
"INTJ",
|
34 |
+
"NOUN",
|
35 |
+
"NOUN_PART",
|
36 |
+
"NUM",
|
37 |
+
"NUM_PART",
|
38 |
+
"PART",
|
39 |
+
"PRON",
|
40 |
+
"PRON_PART",
|
41 |
+
"PROPN",
|
42 |
+
"PUNCT",
|
43 |
+
"SCONJ",
|
44 |
+
"VERB",
|
45 |
+
"VERB_PART"
|
46 |
+
],
|
47 |
+
"morphologizer":[
|
48 |
+
"Aspect=Perf|Mood=Ind|POS=VERB|Voice=Act",
|
49 |
+
"Case=Nom|POS=ADP",
|
50 |
+
"POS=NOUN",
|
51 |
+
"POS=PUNCT",
|
52 |
+
"Aspect=Perf|Mood=Ind|POS=VERB|Voice=Pass",
|
53 |
+
"Case=Gen|POS=ADP",
|
54 |
+
"Case=Gen|Number=Sing|POS=PRON|Person=1|PronType=Prs",
|
55 |
+
"Aspect=Imp|Mood=Ind|POS=VERB|Voice=Act",
|
56 |
+
"POS=ADV|PronType=Dem",
|
57 |
+
"Foreign=Yes|POS=NOUN",
|
58 |
+
"Degree=Pos|POS=ADJ",
|
59 |
+
"Case=Nom|Number=Sing|POS=PRON|Person=3|PronType=Prs",
|
60 |
+
"Case=Nom|Deixis=Med|Number=Sing|POS=PRON|PronType=Dem",
|
61 |
+
"Gender=Masc|POS=PROPN",
|
62 |
+
"Case=Gen|Number=Sing|POS=PRON|Person=3|PronType=Prs",
|
63 |
+
"Degree=Pos|Link=Yes|POS=ADJ",
|
64 |
+
"POS=ADP",
|
65 |
+
"Case=Dat|POS=ADP",
|
66 |
+
"POS=VERB|Polarity=Pos",
|
67 |
+
"Aspect=Hab|POS=VERB",
|
68 |
+
"POS=SCONJ",
|
69 |
+
"Case=Nom|Number=Sing|POS=PRON|Person=1|PronType=Prs",
|
70 |
+
"Aspect=Prosp|Mood=Ind|POS=VERB|Voice=Act",
|
71 |
+
"POS=ADV",
|
72 |
+
"POS=PART|Polarity=Neg",
|
73 |
+
"Aspect=Imp|Mood=Ind|POS=VERB|Voice=Pass",
|
74 |
+
"Aspect=Perf|Mood=Ind|POS=VERB|Voice=Lfoc",
|
75 |
+
"POS=PROPN",
|
76 |
+
"Case=Nom|Deixis=Prox|Number=Sing|POS=PRON|PronType=Dem",
|
77 |
+
"Gender=Masc|POS=NOUN",
|
78 |
+
"Gender=Fem|POS=NOUN",
|
79 |
+
"Degree=Pos|Gender=Fem|POS=ADJ",
|
80 |
+
"Gender=Fem|POS=PROPN",
|
81 |
+
"Case=Nom|Clusivity=In|Number=Dual|POS=PRON|Person=1|PronType=Prs",
|
82 |
+
"Number=Plur|POS=DET|PronType=Ind",
|
83 |
+
"Case=Nom|Number=Plur|POS=PRON|Person=3|PronType=Prs",
|
84 |
+
"POS=PRON|PronType=Prs|Reflex=Yes",
|
85 |
+
"Gender=Masc|POS=DET|PronType=Emp",
|
86 |
+
"Case=Nom|POS=PRON|PronType=Int",
|
87 |
+
"Link=Yes|POS=NOUN",
|
88 |
+
"POS=PART|PartType=Int",
|
89 |
+
"POS=INTJ|Polarity=Pos",
|
90 |
+
"Link=Yes|POS=PART|PartType=Int",
|
91 |
+
"POS=VERB|Polarity=Neg",
|
92 |
+
"Degree=Pos|POS=ADJ|PronType=Int",
|
93 |
+
"Case=Gen|Number=Plur|POS=PRON|Person=3|PronType=Prs",
|
94 |
+
"Aspect=Perf|Mood=Ind|POS=VERB|PronType=Int|Voice=Act",
|
95 |
+
"Case=Nom|Number=Sing|POS=PRON|Person=2|PronType=Prs",
|
96 |
+
"Aspect=Perf|Mood=Ind|POS=VERB|PronType=Int|Voice=Pass",
|
97 |
+
"Aspect=Perf|Mood=Ind|POS=VERB|Voice=Ifoc",
|
98 |
+
"POS=ADV|PronType=Int",
|
99 |
+
"Aspect=Prog|Mood=Ind|POS=VERB|Voice=Act",
|
100 |
+
"POS=PART|PartType=Nfh",
|
101 |
+
"Deixis=Remt|POS=ADV|PronType=Dem",
|
102 |
+
"Aspect=Imp|Mood=Pot|POS=VERB|Voice=Act",
|
103 |
+
"Link=Yes|POS=VERB|Polarity=Pos",
|
104 |
+
"Link=Yes|POS=VERB|Polarity=Neg",
|
105 |
+
"POS=PART|PartType=Des",
|
106 |
+
"Mood=Imp|POS=AUX|Polarity=Neg",
|
107 |
+
"Case=Nom|Link=Yes|Number=Plur|POS=PRON|Person=2|PronType=Prs",
|
108 |
+
"Case=Nom|Link=Yes|Number=Sing|POS=PRON|Person=3|PronType=Prs",
|
109 |
+
"Aspect=Prog|Mood=Ind|POS=VERB|Voice=Pass",
|
110 |
+
"Aspect=Prog|Mood=Ind|POS=VERB|Voice=Lfoc",
|
111 |
+
"Aspect=Prog|Mood=Ind|POS=VERB|Voice=Bfoc",
|
112 |
+
"POS=DET|PronType=Tot",
|
113 |
+
"Case=Dat|Link=Yes|Number=Sing|POS=PRON|Person=3|PronType=Prs",
|
114 |
+
"Link=Yes|POS=PRON|PronType=Prs|Reflex=Yes",
|
115 |
+
"Mood=Imp|POS=VERB|Voice=Act",
|
116 |
+
"Case=Dat|Number=Sing|POS=PRON|Person=3|PronType=Prs",
|
117 |
+
"Mood=Imp|POS=VERB|Voice=Lfoc",
|
118 |
+
"Case=Gen|Number=Sing|POS=PRON|Person=2|PronType=Prs",
|
119 |
+
"Mood=Imp|POS=VERB|Voice=Pass",
|
120 |
+
"Case=Gen|Clusivity=In|Number=Plur|POS=PRON|Person=1|PronType=Prs",
|
121 |
+
"Aspect=Hab|POS=VERB|Voice=Pass",
|
122 |
+
"Gender=Masc|Link=Yes|POS=PROPN",
|
123 |
+
"Case=Gen|Link=Yes|Number=Sing|POS=PRON|Person=3|PronType=Prs",
|
124 |
+
"Case=Gen|Link=Yes|Number=Sing|POS=PRON|Person=1|PronType=Prs",
|
125 |
+
"POS=ADJ",
|
126 |
+
"POS=PART",
|
127 |
+
"POS=PRON",
|
128 |
+
"POS=VERB",
|
129 |
+
"POS=INTJ",
|
130 |
+
"POS=CCONJ",
|
131 |
+
"POS=NUM",
|
132 |
+
"POS=DET"
|
133 |
+
],
|
134 |
+
"parser":[
|
135 |
+
"ROOT",
|
136 |
+
"advmod",
|
137 |
+
"case",
|
138 |
+
"dep",
|
139 |
+
"nmod",
|
140 |
+
"nsubj",
|
141 |
+
"obj",
|
142 |
+
"obl",
|
143 |
+
"punct"
|
144 |
+
],
|
145 |
+
"ner":[
|
146 |
+
"LOC",
|
147 |
+
"ORG",
|
148 |
+
"PER"
|
149 |
+
]
|
150 |
+
},
|
151 |
+
"pipeline":[
|
152 |
+
"tok2vec",
|
153 |
+
"tagger",
|
154 |
+
"morphologizer",
|
155 |
+
"parser",
|
156 |
+
"ner"
|
157 |
+
],
|
158 |
+
"components":[
|
159 |
+
"tok2vec",
|
160 |
+
"tagger",
|
161 |
+
"morphologizer",
|
162 |
+
"parser",
|
163 |
+
"ner"
|
164 |
+
],
|
165 |
+
"disabled":[
|
166 |
+
|
167 |
+
],
|
168 |
+
"parent_package":"spacy",
|
169 |
+
"requirements":[
|
170 |
+
"spacy-transformers>=1.2.0"
|
171 |
+
],
|
172 |
+
"sources":[
|
173 |
+
{
|
174 |
+
"name":"TLUnified dataset",
|
175 |
+
"license":"GNU GPL 3.0",
|
176 |
+
"author":"Jan Christian Blaise Cruz and Charibeth Cheng",
|
177 |
+
"url":"https://aclanthology.org/2022.lrec-1.703/"
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"name":"UD_Tagalog-TRG",
|
181 |
+
"license":"CC BY-SA 3.0",
|
182 |
+
"author":"Stephanie Samson, Daniel Zeman, and Mary Ann C. Tan",
|
183 |
+
"url":"https://universaldependencies.org/treebanks/tl_trg/index.html"
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"name":"UD_Tagalog-Ugnayan",
|
187 |
+
"license":"CC BY-NC-SA 4.0",
|
188 |
+
"author":"Angelina Aquino",
|
189 |
+
"url":"https://universaldependencies.org/treebanks/tl_ugnayan/index.html"
|
190 |
+
}
|
191 |
+
]
|
192 |
+
}
|
morphologizer/cfg
ADDED
@@ -0,0 +1,178 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"extend":false,
|
3 |
+
"labels_morph":{
|
4 |
+
"Aspect=Perf|Mood=Ind|POS=VERB|Voice=Act":"Aspect=Perf|Mood=Ind|Voice=Act",
|
5 |
+
"Case=Nom|POS=ADP":"Case=Nom",
|
6 |
+
"POS=NOUN":"",
|
7 |
+
"POS=PUNCT":"",
|
8 |
+
"Aspect=Perf|Mood=Ind|POS=VERB|Voice=Pass":"Aspect=Perf|Mood=Ind|Voice=Pass",
|
9 |
+
"Case=Gen|POS=ADP":"Case=Gen",
|
10 |
+
"Case=Gen|Number=Sing|POS=PRON|Person=1|PronType=Prs":"Case=Gen|Number=Sing|Person=1|PronType=Prs",
|
11 |
+
"Aspect=Imp|Mood=Ind|POS=VERB|Voice=Act":"Aspect=Imp|Mood=Ind|Voice=Act",
|
12 |
+
"POS=ADV|PronType=Dem":"PronType=Dem",
|
13 |
+
"Foreign=Yes|POS=NOUN":"Foreign=Yes",
|
14 |
+
"Degree=Pos|POS=ADJ":"Degree=Pos",
|
15 |
+
"Case=Nom|Number=Sing|POS=PRON|Person=3|PronType=Prs":"Case=Nom|Number=Sing|Person=3|PronType=Prs",
|
16 |
+
"Case=Nom|Deixis=Med|Number=Sing|POS=PRON|PronType=Dem":"Case=Nom|Deixis=Med|Number=Sing|PronType=Dem",
|
17 |
+
"Gender=Masc|POS=PROPN":"Gender=Masc",
|
18 |
+
"Case=Gen|Number=Sing|POS=PRON|Person=3|PronType=Prs":"Case=Gen|Number=Sing|Person=3|PronType=Prs",
|
19 |
+
"Degree=Pos|Link=Yes|POS=ADJ":"Degree=Pos|Link=Yes",
|
20 |
+
"POS=ADP":"",
|
21 |
+
"Case=Dat|POS=ADP":"Case=Dat",
|
22 |
+
"POS=VERB|Polarity=Pos":"Polarity=Pos",
|
23 |
+
"Aspect=Hab|POS=VERB":"Aspect=Hab",
|
24 |
+
"POS=SCONJ":"",
|
25 |
+
"Case=Nom|Number=Sing|POS=PRON|Person=1|PronType=Prs":"Case=Nom|Number=Sing|Person=1|PronType=Prs",
|
26 |
+
"Aspect=Prosp|Mood=Ind|POS=VERB|Voice=Act":"Aspect=Prosp|Mood=Ind|Voice=Act",
|
27 |
+
"POS=ADV":"",
|
28 |
+
"POS=PART|Polarity=Neg":"Polarity=Neg",
|
29 |
+
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|
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tagger/cfg
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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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|
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|
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|
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|
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|
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vocab/key2row
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vocab/strings.json
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vocab/vectors
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vocab/vectors.cfg
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{
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