ljvmiranda921
commited on
Commit
•
e13be7b
1
Parent(s):
cea4452
xx_fro_sigtyp_trf-0.1.0: Update SIGTYP pipeline
Browse files- .gitattributes +4 -0
- README.md +85 -0
- config.cfg +190 -0
- meta.json +359 -0
- parser/cfg +13 -0
- parser/model +3 -0
- parser/moves +1 -0
- tagger/cfg +98 -0
- tagger/model +0 -0
- tokenizer +3 -0
- trainable_lemmatizer/cfg +785 -0
- trainable_lemmatizer/model +3 -0
- trainable_lemmatizer/trees +0 -0
- transformer/cfg +3 -0
- transformer/model +3 -0
- vocab/key2row +1 -0
- vocab/lookups.bin +3 -0
- vocab/strings.json +0 -0
- vocab/vectors +0 -0
- vocab/vectors.cfg +3 -0
- xx_fro_sigtyp_trf-any-py3-none-any.whl +3 -0
.gitattributes
CHANGED
@@ -33,3 +33,7 @@ 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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parser/model filter=lfs diff=lfs merge=lfs -text
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trainable_lemmatizer/model filter=lfs diff=lfs merge=lfs -text
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transformer/model filter=lfs diff=lfs merge=lfs -text
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xx_fro_sigtyp_trf-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
@@ -0,0 +1,85 @@
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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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- multilingual
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model-index:
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- name: xx_fro_sigtyp_trf
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results:
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- task:
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name: TAG
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type: token-classification
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metrics:
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- name: TAG (XPOS) Accuracy
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type: accuracy
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value: 0.8626325088
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- task:
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name: LEMMA
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type: token-classification
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metrics:
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- name: Lemma Accuracy
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type: accuracy
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value: 0.8348421285
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- task:
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name: UNLABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Unlabeled Attachment Score (UAS)
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type: f_score
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value: 0.6967152383
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- task:
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name: LABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Labeled Attachment Score (LAS)
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type: f_score
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value: 0.6162015312
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- task:
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name: SENTS
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type: token-classification
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metrics:
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- name: Sentences F-Score
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type: f_score
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value: 0.8357487923
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---
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| Feature | Description |
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| --- | --- |
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| **Name** | `xx_fro_sigtyp_trf` |
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| **Version** | `0.1.0` |
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| **spaCy** | `>=3.6.1,<3.7.0` |
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| **Default Pipeline** | `transformer`, `parser`, `trainable_lemmatizer`, `tagger` |
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| **Components** | `transformer`, `parser`, `trainable_lemmatizer`, `tagger` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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| **Sources** | n/a |
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| **License** | n/a |
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| **Author** | [n/a]() |
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### Label Scheme
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<details>
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<summary>View label scheme (124 labels for 2 components)</summary>
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| Component | Labels |
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| --- | --- |
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| **`parser`** | `ROOT`, `acl`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `case:det`, `cc`, `cc:nc`, `ccomp`, `conj`, `cop`, `csubj`, `dep`, `det`, `expl`, `flat`, `iobj`, `mark`, `nmod`, `nsubj`, `nummod`, `obj`, `obl`, `obl:advmod`, `parataxis`, `punct`, `vocative`, `xcomp` |
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| **`tagger`** | `ADJcar__NumType=Card`, `ADJind__PronType=Ind`, `ADJord`, `ADJpos__Poss=Yes`, `ADJqua`, `ADJqua__Tense=Past\|VerbForm=Part`, `ADJqua__Tense=Pres\|VerbForm=Part`, `ADVgen`, `ADVgen.PROper`, `ADVgen__PronType=Ind`, `ADVgen__PronType=Prs,Rel`, `ADVgen__PronType=Rel`, `ADVint__PronType=Int`, `ADVneg`, `ADVneg.PROper__Polarity=Neg\|PronType=Prs`, `ADVneg__Polarity=Neg`, `ADVsub`, `CONcoo`, `CONcoo__PronType=Prs,Rel`, `CONsub`, `CONsub.PROper`, `CONsub__PronType=Rel`, `DETcar__NumType=Card`, `DETdef__Definite=Def`, `DETdef__Definite=Def\|PronType=Art`, `DETdef__PronType=Ind`, `DETdef__PronType=Prs`, `DETdem__PronType=Dem`, `DETdem__PronType=Prs`, `DETind__PronType=Ind`, `DETint__PronType=Int`, `DETndf__Definite=Ind`, `DETndf__Definite=Ind\|PronType=Art`, `DETord`, `DETord__NumType=Ord`, `DETpos__Poss=Yes`, `DETrel__PronType=Rel`, `INJ`, `NOMcom`, `NOMcom__Morph=VFin`, `NOMcom__VerbForm=Inf`, `NOMpro`, `PONfbl`, `PONfrt`, `PONpdr`, `PONpga`, `PONpxx`, `PRE`, `PRE.DETdef__Definite=Def\|PronType=Art`, `PRE.PROper`, `PRE.PROper__Definite=Def\|PronType=Art`, `PRE__Morph=VFin`, `PRE__PronType=Dem`, `PREdetdef__PronType=Prs,Rel`, `PROadv`, `PROadv__PronType=Dem`, `PROcar`, `PROcar__NumType=Card`, `PROdem__PronType=Dem`, `PROdem__PronType=Prs,Rel`, `PROimp`, `PROimp__PronType=Prs`, `PROind`, `PROind__PronType=Ind`, `PROind__PronType=Rel`, `PROint__PronType=Int`, `PROord__NumType=Ord`, `PROper`, `PROper.PROper__PronType=Prs`, `PROper__Poss=Yes`, `PROper__PronType=Prs`, `PROpos__Poss=Yes`, `PROpos__Poss=Yes\|PronType=Prs`, `PROrel`, `PROrel__PronType=Prs,Rel`, `PROrel__PronType=Rel`, `RED`, `VERcjg`, `VERcjg__VerbForm=Fin`, `VERcjg__VerbForm=Inf`, `VERinf__VerbForm=Inf`, `VERppa__Tense=Pres\|VerbForm=Part`, `VERppe`, `VERppe__Tense=Past`, `VERppe__Tense=Past\|VerbForm=Part`, `devenir__Tense=Past\|VerbForm=Part`, `devenir__VerbForm=Fin`, `laisser__VerbForm=Fin`, `remanoir__VerbForm=Fin`, `ressembler__VerbForm=Fin`, `sembler__VerbForm=Fin` |
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</details>
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### Accuracy
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| Type | Score |
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| --- | --- |
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| `DEP_UAS` | 69.67 |
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| `DEP_LAS` | 61.62 |
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| `SENTS_P` | 78.82 |
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| `SENTS_R` | 88.95 |
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| `SENTS_F` | 83.57 |
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| `LEMMA_ACC` | 83.48 |
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| `TAG_ACC` | 86.26 |
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| `TRANSFORMER_LOSS` | 44338.10 |
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| `PARSER_LOSS` | 6886.30 |
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| `TRAINABLE_LEMMATIZER_LOSS` | 1446.31 |
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| `TAGGER_LOSS` | 3500.05 |
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config.cfg
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[paths]
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train = "corpus/train/fro_train.spacy"
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dev = "corpus/dev/fro_valid.spacy"
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vectors = null
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init_tok2vec = null
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[system]
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gpu_allocator = "pytorch"
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seed = 42
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[nlp]
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lang = "xx"
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pipeline = ["transformer","parser","trainable_lemmatizer","tagger"]
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batch_size = 128
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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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tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
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[components]
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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 = false
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nO = null
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[components.parser.model.tok2vec]
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@architectures = "spacy-transformers.TransformerListener.v1"
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grad_factor = 1.0
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pooling = {"@layers":"reduce_mean.v1"}
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upstream = "*"
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[components.tagger]
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factory = "tagger"
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label_smoothing = 0.0
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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.v2"
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nO = null
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normalize = false
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[components.tagger.model.tok2vec]
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@architectures = "spacy-transformers.TransformerListener.v1"
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grad_factor = 1.0
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pooling = {"@layers":"reduce_mean.v1"}
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upstream = "*"
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[components.trainable_lemmatizer]
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factory = "trainable_lemmatizer"
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backoff = "orth"
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min_tree_freq = 3
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overwrite = false
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scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
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top_k = 1
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[components.trainable_lemmatizer.model]
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@architectures = "spacy.Tagger.v2"
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nO = null
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normalize = false
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[components.trainable_lemmatizer.model.tok2vec]
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@architectures = "spacy-transformers.TransformerListener.v1"
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grad_factor = 1.0
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pooling = {"@layers":"reduce_mean.v1"}
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upstream = "*"
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[components.transformer]
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factory = "transformer"
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max_batch_items = 4096
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set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
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[components.transformer.model]
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@architectures = "spacy-transformers.TransformerModel.v3"
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name = "ljvmiranda921/LiBERTus-base"
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mixed_precision = false
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[components.transformer.model.get_spans]
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@span_getters = "spacy-transformers.strided_spans.v1"
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window = 128
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stride = 96
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[components.transformer.model.grad_scaler_config]
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[components.transformer.model.tokenizer_config]
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use_fast = true
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[components.transformer.model.transformer_config]
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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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max_length = 0
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111 |
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gold_preproc = false
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112 |
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limit = 0
|
113 |
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augmenter = null
|
114 |
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|
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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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max_length = 0
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gold_preproc = false
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limit = 0
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augmenter = null
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[training]
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accumulate_gradient = 3
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dev_corpus = "corpora.dev"
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train_corpus = "corpora.train"
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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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patience = 1600
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131 |
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max_epochs = 0
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132 |
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max_steps = 20000
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133 |
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eval_frequency = 200
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frozen_components = []
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annotating_components = []
|
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before_to_disk = null
|
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before_update = null
|
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|
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[training.batcher]
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@batchers = "spacy.batch_by_padded.v1"
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discard_oversize = true
|
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size = 2000
|
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buffer = 256
|
144 |
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get_length = null
|
145 |
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|
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[training.logger]
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147 |
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@loggers = "spacy.ConsoleLogger.v3"
|
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console_output = true
|
149 |
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progress_bar = "eval"
|
150 |
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output_file = null
|
151 |
+
|
152 |
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[training.optimizer]
|
153 |
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@optimizers = "Adam.v1"
|
154 |
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beta1 = 0.9
|
155 |
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beta2 = 0.999
|
156 |
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L2_is_weight_decay = true
|
157 |
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L2 = 0.01
|
158 |
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grad_clip = 1.0
|
159 |
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use_averages = false
|
160 |
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eps = 0.00000001
|
161 |
+
|
162 |
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[training.optimizer.learn_rate]
|
163 |
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@schedules = "warmup_linear.v1"
|
164 |
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warmup_steps = 250
|
165 |
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total_steps = 20000
|
166 |
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initial_rate = 0.00005
|
167 |
+
|
168 |
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[training.score_weights]
|
169 |
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dep_uas = 0.17
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170 |
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dep_las = 0.17
|
171 |
+
dep_las_per_type = null
|
172 |
+
sents_p = null
|
173 |
+
sents_r = null
|
174 |
+
sents_f = 0.0
|
175 |
+
lemma_acc = 0.33
|
176 |
+
tag_acc = 0.33
|
177 |
+
|
178 |
+
[pretraining]
|
179 |
+
|
180 |
+
[initialize]
|
181 |
+
vectors = ${paths.vectors}
|
182 |
+
init_tok2vec = ${paths.init_tok2vec}
|
183 |
+
vocab_data = null
|
184 |
+
lookups = null
|
185 |
+
before_init = null
|
186 |
+
after_init = null
|
187 |
+
|
188 |
+
[initialize.components]
|
189 |
+
|
190 |
+
[initialize.tokenizer]
|
meta.json
ADDED
@@ -0,0 +1,359 @@
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|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"lang":"xx",
|
3 |
+
"name":"fro_sigtyp_trf",
|
4 |
+
"version":"0.1.0",
|
5 |
+
"description":"",
|
6 |
+
"author":"",
|
7 |
+
"email":"",
|
8 |
+
"url":"",
|
9 |
+
"license":"",
|
10 |
+
"spacy_version":">=3.6.1,<3.7.0",
|
11 |
+
"spacy_git_version":"458bc5f45",
|
12 |
+
"vectors":{
|
13 |
+
"width":0,
|
14 |
+
"vectors":0,
|
15 |
+
"keys":0,
|
16 |
+
"name":null
|
17 |
+
},
|
18 |
+
"labels":{
|
19 |
+
"transformer":[
|
20 |
+
|
21 |
+
],
|
22 |
+
"parser":[
|
23 |
+
"ROOT",
|
24 |
+
"acl",
|
25 |
+
"acl:relcl",
|
26 |
+
"advcl",
|
27 |
+
"advmod",
|
28 |
+
"amod",
|
29 |
+
"appos",
|
30 |
+
"aux",
|
31 |
+
"aux:pass",
|
32 |
+
"case",
|
33 |
+
"case:det",
|
34 |
+
"cc",
|
35 |
+
"cc:nc",
|
36 |
+
"ccomp",
|
37 |
+
"conj",
|
38 |
+
"cop",
|
39 |
+
"csubj",
|
40 |
+
"dep",
|
41 |
+
"det",
|
42 |
+
"expl",
|
43 |
+
"flat",
|
44 |
+
"iobj",
|
45 |
+
"mark",
|
46 |
+
"nmod",
|
47 |
+
"nsubj",
|
48 |
+
"nummod",
|
49 |
+
"obj",
|
50 |
+
"obl",
|
51 |
+
"obl:advmod",
|
52 |
+
"parataxis",
|
53 |
+
"punct",
|
54 |
+
"vocative",
|
55 |
+
"xcomp"
|
56 |
+
],
|
57 |
+
"tagger":[
|
58 |
+
"ADJcar__NumType=Card",
|
59 |
+
"ADJind__PronType=Ind",
|
60 |
+
"ADJord",
|
61 |
+
"ADJpos__Poss=Yes",
|
62 |
+
"ADJqua",
|
63 |
+
"ADJqua__Tense=Past|VerbForm=Part",
|
64 |
+
"ADJqua__Tense=Pres|VerbForm=Part",
|
65 |
+
"ADVgen",
|
66 |
+
"ADVgen.PROper",
|
67 |
+
"ADVgen__PronType=Ind",
|
68 |
+
"ADVgen__PronType=Prs,Rel",
|
69 |
+
"ADVgen__PronType=Rel",
|
70 |
+
"ADVint__PronType=Int",
|
71 |
+
"ADVneg",
|
72 |
+
"ADVneg.PROper__Polarity=Neg|PronType=Prs",
|
73 |
+
"ADVneg__Polarity=Neg",
|
74 |
+
"ADVsub",
|
75 |
+
"CONcoo",
|
76 |
+
"CONcoo__PronType=Prs,Rel",
|
77 |
+
"CONsub",
|
78 |
+
"CONsub.PROper",
|
79 |
+
"CONsub__PronType=Rel",
|
80 |
+
"DETcar__NumType=Card",
|
81 |
+
"DETdef__Definite=Def",
|
82 |
+
"DETdef__Definite=Def|PronType=Art",
|
83 |
+
"DETdef__PronType=Ind",
|
84 |
+
"DETdef__PronType=Prs",
|
85 |
+
"DETdem__PronType=Dem",
|
86 |
+
"DETdem__PronType=Prs",
|
87 |
+
"DETind__PronType=Ind",
|
88 |
+
"DETint__PronType=Int",
|
89 |
+
"DETndf__Definite=Ind",
|
90 |
+
"DETndf__Definite=Ind|PronType=Art",
|
91 |
+
"DETord",
|
92 |
+
"DETord__NumType=Ord",
|
93 |
+
"DETpos__Poss=Yes",
|
94 |
+
"DETrel__PronType=Rel",
|
95 |
+
"INJ",
|
96 |
+
"NOMcom",
|
97 |
+
"NOMcom__Morph=VFin",
|
98 |
+
"NOMcom__VerbForm=Inf",
|
99 |
+
"NOMpro",
|
100 |
+
"PONfbl",
|
101 |
+
"PONfrt",
|
102 |
+
"PONpdr",
|
103 |
+
"PONpga",
|
104 |
+
"PONpxx",
|
105 |
+
"PRE",
|
106 |
+
"PRE.DETdef__Definite=Def|PronType=Art",
|
107 |
+
"PRE.PROper",
|
108 |
+
"PRE.PROper__Definite=Def|PronType=Art",
|
109 |
+
"PRE__Morph=VFin",
|
110 |
+
"PRE__PronType=Dem",
|
111 |
+
"PREdetdef__PronType=Prs,Rel",
|
112 |
+
"PROadv",
|
113 |
+
"PROadv__PronType=Dem",
|
114 |
+
"PROcar",
|
115 |
+
"PROcar__NumType=Card",
|
116 |
+
"PROdem__PronType=Dem",
|
117 |
+
"PROdem__PronType=Prs,Rel",
|
118 |
+
"PROimp",
|
119 |
+
"PROimp__PronType=Prs",
|
120 |
+
"PROind",
|
121 |
+
"PROind__PronType=Ind",
|
122 |
+
"PROind__PronType=Rel",
|
123 |
+
"PROint__PronType=Int",
|
124 |
+
"PROord__NumType=Ord",
|
125 |
+
"PROper",
|
126 |
+
"PROper.PROper__PronType=Prs",
|
127 |
+
"PROper__Poss=Yes",
|
128 |
+
"PROper__PronType=Prs",
|
129 |
+
"PROpos__Poss=Yes",
|
130 |
+
"PROpos__Poss=Yes|PronType=Prs",
|
131 |
+
"PROrel",
|
132 |
+
"PROrel__PronType=Prs,Rel",
|
133 |
+
"PROrel__PronType=Rel",
|
134 |
+
"RED",
|
135 |
+
"VERcjg",
|
136 |
+
"VERcjg__VerbForm=Fin",
|
137 |
+
"VERcjg__VerbForm=Inf",
|
138 |
+
"VERinf__VerbForm=Inf",
|
139 |
+
"VERppa__Tense=Pres|VerbForm=Part",
|
140 |
+
"VERppe",
|
141 |
+
"VERppe__Tense=Past",
|
142 |
+
"VERppe__Tense=Past|VerbForm=Part",
|
143 |
+
"devenir__Tense=Past|VerbForm=Part",
|
144 |
+
"devenir__VerbForm=Fin",
|
145 |
+
"laisser__VerbForm=Fin",
|
146 |
+
"remanoir__VerbForm=Fin",
|
147 |
+
"ressembler__VerbForm=Fin",
|
148 |
+
"sembler__VerbForm=Fin"
|
149 |
+
]
|
150 |
+
},
|
151 |
+
"pipeline":[
|
152 |
+
"transformer",
|
153 |
+
"parser",
|
154 |
+
"trainable_lemmatizer",
|
155 |
+
"tagger"
|
156 |
+
],
|
157 |
+
"components":[
|
158 |
+
"transformer",
|
159 |
+
"parser",
|
160 |
+
"trainable_lemmatizer",
|
161 |
+
"tagger"
|
162 |
+
],
|
163 |
+
"disabled":[
|
164 |
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|
165 |
+
],
|
166 |
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"performance":{
|
167 |
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"dep_uas":0.6967152383,
|
168 |
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"dep_las":0.6162015312,
|
169 |
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"dep_las_per_type":{
|
170 |
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"advmod":{
|
171 |
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"p":0.7226107226,
|
172 |
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"r":0.6352459016,
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173 |
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"f":0.6761177754
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174 |
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},
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175 |
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"iobj":{
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177 |
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"r":0.641509434,
|
178 |
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"f":0.6634146341
|
179 |
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},
|
180 |
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"root":{
|
181 |
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"p":0.7518248175,
|
182 |
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"r":0.794344473,
|
183 |
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"f":0.7725
|
184 |
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},
|
185 |
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"mark":{
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"p":0.6597938144,
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187 |
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"r":0.5541125541,
|
188 |
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"f":0.6023529412
|
189 |
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},
|
190 |
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"cc:nc":{
|
191 |
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"p":0.8417721519,
|
192 |
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"r":0.7430167598,
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193 |
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"f":0.7893175074
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194 |
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},
|
195 |
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"expl":{
|
196 |
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"p":0.3333333333,
|
197 |
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"r":0.1136363636,
|
198 |
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"f":0.1694915254
|
199 |
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},
|
200 |
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"nsubj":{
|
201 |
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"p":0.7692307692,
|
202 |
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"r":0.6068601583,
|
203 |
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"f":0.6784660767
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204 |
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},
|
205 |
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"case":{
|
206 |
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"p":0.8333333333,
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207 |
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"r":0.7569721116,
|
208 |
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"f":0.7933194154
|
209 |
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},
|
210 |
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"obl":{
|
211 |
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"p":0.5814977974,
|
212 |
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"r":0.4599303136,
|
213 |
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"f":0.513618677
|
214 |
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},
|
215 |
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"ccomp":{
|
216 |
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"p":0.55,
|
217 |
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"r":0.4583333333,
|
218 |
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"f":0.5
|
219 |
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},
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220 |
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"obj":{
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|
222 |
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"f":0.4991896272
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224 |
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},
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225 |
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"aux":{
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226 |
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227 |
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228 |
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"f":0.5892857143
|
229 |
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},
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230 |
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"det":{
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231 |
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232 |
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"f":0.896656535
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},
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"f":0.0810810811
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},
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"f":0.0
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},
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"obl:advmod":{
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|
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},
|
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"requirements":[
|
357 |
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"spacy-transformers>=1.3.3,<1.4.0"
|
358 |
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]
|
359 |
+
}
|
parser/cfg
ADDED
@@ -0,0 +1,13 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
1 |
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{
|
2 |
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"moves":null,
|
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"update_with_oracle_cut_size":100,
|
4 |
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"multitasks":[
|
5 |
+
|
6 |
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],
|
7 |
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"min_action_freq":30,
|
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"learn_tokens":false,
|
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"beam_width":1,
|
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"beam_density":0.0,
|
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"beam_update_prob":0.0,
|
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"incorrect_spans_key":null
|
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}
|
parser/model
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:a3aabf523b69927d6f7324de7ce66f3cce46ea9fb116ec2af1a58642c5b571cb
|
3 |
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size 1113579
|
parser/moves
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
��moves��{"0":{"":23400},"1":{"":11949},"2":{"advmod":3010,"det":2815,"nsubj":2519,"case":2255,"obj":1853,"mark":1670,"obl":1423,"cc:nc":1402,"punct":1170,"cc":953,"aux":761,"iobj":728,"amod":474,"case:det":317,"expl":289,"advcl":246,"cop":238,"obl:advmod":230,"aux:pass":182,"xcomp":154,"vocative":123,"nummod":103,"parataxis":79,"obj||xcomp":63,"nmod||obj":55,"nmod":38,"acl":34,"dep":0},"3":{"punct":3823,"obl":1072,"conj":905,"obj":866,"advmod":795,"advcl":641,"nsubj":577,"acl:relcl":484,"xcomp":399,"ccomp":308,"nmod":302,"acl":248,"amod":228,"flat":161,"aux":152,"iobj":88,"cop":73,"acl:relcl||nsubj":63,"csubj":48,"acl:relcl||obj":45,"conj||obj":42,"appos":42,"acl||obj":39,"parataxis":36,"vocative":34,"conj||nsubj":33,"dep":0},"4":{"ROOT":3113}}�cfg��neg_key�
|
tagger/cfg
ADDED
@@ -0,0 +1,98 @@
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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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|
3 |
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"labels":[
|
4 |
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|
5 |
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|
6 |
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"ADJord",
|
7 |
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|
8 |
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"ADJqua",
|
9 |
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|
10 |
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"ADJqua__Tense=Pres|VerbForm=Part",
|
11 |
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"ADVgen",
|
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"ADVgen.PROper",
|
13 |
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|
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|
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|
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|
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"ADVneg",
|
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|
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|
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|
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|
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|
23 |
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|
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|
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|
26 |
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|
27 |
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|
28 |
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|
29 |
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"DETdef__PronType=Ind",
|
30 |
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|
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|
32 |
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|
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|
34 |
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|
35 |
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|
36 |
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|
37 |
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|
38 |
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|
39 |
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|
40 |
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|
41 |
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|
42 |
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|
43 |
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|
44 |
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|
45 |
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"NOMpro",
|
46 |
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|
47 |
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"PONfrt",
|
48 |
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"PONpdr",
|
49 |
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|
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|
51 |
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|
52 |
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|
53 |
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"PRE.PROper",
|
54 |
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|
55 |
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|
56 |
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|
57 |
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|
58 |
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"PROadv",
|
59 |
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|
60 |
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|
61 |
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"PROcar__NumType=Card",
|
62 |
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"PROdem__PronType=Dem",
|
63 |
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"PROdem__PronType=Prs,Rel",
|
64 |
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"PROimp",
|
65 |
+
"PROimp__PronType=Prs",
|
66 |
+
"PROind",
|
67 |
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"PROind__PronType=Ind",
|
68 |
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|
69 |
+
"PROint__PronType=Int",
|
70 |
+
"PROord__NumType=Ord",
|
71 |
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"PROper",
|
72 |
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|
73 |
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"PROper__Poss=Yes",
|
74 |
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"PROper__PronType=Prs",
|
75 |
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"PROpos__Poss=Yes",
|
76 |
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|
77 |
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"PROrel",
|
78 |
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"PROrel__PronType=Prs,Rel",
|
79 |
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|
80 |
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"RED",
|
81 |
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|
82 |
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|
83 |
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"VERcjg__VerbForm=Inf",
|
84 |
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|
85 |
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|
86 |
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"VERppe",
|
87 |
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|
88 |
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"VERppe__Tense=Past|VerbForm=Part",
|
89 |
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|
90 |
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"devenir__VerbForm=Fin",
|
91 |
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|
92 |
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"remanoir__VerbForm=Fin",
|
93 |
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"ressembler__VerbForm=Fin",
|
94 |
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"sembler__VerbForm=Fin"
|
95 |
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],
|
96 |
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"neg_prefix":"!",
|
97 |
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"overwrite":false
|
98 |
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}
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tagger/model
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tokenizer
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1 |
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3 |
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|
trainable_lemmatizer/cfg
ADDED
@@ -0,0 +1,785 @@
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1 |
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}
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trainable_lemmatizer/model
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|
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vocab/vectors
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vocab/vectors.cfg
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{
|
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|
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|
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