zh_lzh_sigtyp_trf-0.1.0: Update SIGTYP pipeline

.gitattributes

@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+parser/model filter=lfs diff=lfs merge=lfs -text
+transformer/model filter=lfs diff=lfs merge=lfs -text
+zh_lzh_sigtyp_trf-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,103 @@
+---
+tags:
+- spacy
+- token-classification
+language:
+- zh
+model-index:
+- name: zh_lzh_sigtyp_trf
+  results:
+  - task:
+      name: TAG
+      type: token-classification
+    metrics:
+    - name: TAG (XPOS) Accuracy
+      type: accuracy
+      value: 0.7418288567
+  - task:
+      name: POS
+      type: token-classification
+    metrics:
+    - name: POS (UPOS) Accuracy
+      type: accuracy
+      value: 0.794490103
+  - task:
+      name: MORPH
+      type: token-classification
+    metrics:
+    - name: Morph (UFeats) Accuracy
+      type: accuracy
+      value: 0.823496743
+  - task:
+      name: LEMMA
+      type: token-classification
+    metrics:
+    - name: Lemma Accuracy
+      type: accuracy
+      value: 0.941164414
+  - task:
+      name: UNLABELED_DEPENDENCIES
+      type: token-classification
+    metrics:
+    - name: Unlabeled Attachment Score (UAS)
+      type: f_score
+      value: 0.8227824679
+  - task:
+      name: LABELED_DEPENDENCIES
+      type: token-classification
+    metrics:
+    - name: Labeled Attachment Score (LAS)
+      type: f_score
+      value: 0.7687085041
+  - task:
+      name: SENTS
+      type: token-classification
+    metrics:
+    - name: Sentences F-Score
+      type: f_score
+      value: 0.9942116231
+---
+| Feature | Description |
+| --- | --- |
+| **Name** | `zh_lzh_sigtyp_trf` |
+| **Version** | `0.1.0` |
+| **spaCy** | `>=3.6.1,<3.7.0` |
+| **Default Pipeline** | `transformer`, `parser`, `trainable_lemmatizer`, `tagger`, `morphologizer` |
+| **Components** | `transformer`, `parser`, `trainable_lemmatizer`, `tagger`, `morphologizer` |
+| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
+| **Sources** | n/a |
+| **License** | n/a |
+| **Author** | [n/a]() |
+
+### Label Scheme
+
+<details>
+
+<summary>View label scheme (272 labels for 3 components)</summary>
+
+| Component | Labels |
+| --- | --- |
+| **`parser`** | `ROOT`, `acl`, `advcl`, `advmod`, `amod`, `aux`, `case`, `cc`, `ccomp`, `clf`, `compound`, `compound:redup`, `conj`, `cop`, `csubj`, `csubj:outer`, `dep`, `det`, `discourse`, `discourse:sp`, `dislocated`, `expl`, `fixed`, `flat`, `flat:foreign`, `flat:vv`, `iobj`, `list`, `mark`, `nmod`, `nsubj`, `nsubj:outer`, `nummod`, `obj`, `obl`, `obl:lmod`, `obl:tmod`, `parataxis`, `vocative`, `xcomp` |
+| **`tagger`** | `n,代名詞,人称,他__Person=1\|PronType=Prs`, `n,代名詞,人称,他__Person=2\|PronType=Prs`, `n,代名詞,人称,他__Person=3\|PronType=Prs`, `n,代名詞,人称,他__PronType=Prs`, `n,代名詞,人称,他__PronType=Prs\|Reflex=Yes`, `n,代名詞,人称,止格__Person=1\|PronType=Prs`, `n,代名詞,人称,止格__Person=2\|PronType=Prs`, `n,代名詞,人称,止格__Person=3\|PronType=Prs`, `n,代名詞,人称,起格__Person=1\|PronType=Prs`, `n,代名詞,人称,起格__Person=2\|PronType=Prs`, `n,代名詞,人称,起格__Person=3\|PronType=Prs`, `n,代名詞,人称,起格__PronType=Prs`, `n,代名詞,指示,*__PronType=Dem`, `n,代名詞,疑問,*__PronType=Int`, `n,名詞,不可譲,属性`, `n,名詞,不可譲,疾病`, `n,名詞,不可譲,身体`, `n,名詞,主体,動物`, `n,名詞,主体,国名__Case=Loc\|NameType=Nat`, `n,名詞,主体,書物`, `n,名詞,主体,機関`, `n,名詞,主体,神仏`, `n,名詞,主体,集団`, `n,名詞,人,その他の人名__NameType=Prs`, `n,名詞,人,人`, `n,名詞,人,名__NameType=Giv`, `n,名詞,人,姓氏__NameType=Sur`, `n,名詞,人,役割`, `n,名詞,人,複合的人名__NameType=Prs`, `n,名詞,人,関係`, `n,名詞,制度,儀礼`, `n,名詞,制度,場__Case=Loc`, `n,名詞,可搬,乗り物`, `n,名詞,可搬,伝達`, `n,名詞,可搬,成果物`, `n,名詞,可搬,糧食`, `n,名詞,可搬,道具`, `n,名詞,固定物,地名__Case=Loc\|NameType=Geo`, `n,名詞,固定物,地形__Case=Loc`, `n,名詞,固定物,建造物__Case=Loc`, `n,名詞,固定物,樹木`, `n,名詞,固定物,関係__Case=Loc`, `n,名詞,外観,人`, `n,名詞,天象,天文`, `n,名詞,天象,怪異`, `n,名詞,天象,気象`, `n,名詞,度量衡,*__NounType=Clf`, `n,名詞,思考,*`, `n,名詞,思考,思考`, `n,名詞,描写,形質`, `n,名詞,描写,態度`, `n,名詞,数量,*`, `n,名詞,時,*__Case=Tem`, `n,名詞,行為,*`, `n,数詞,干支,*__NumType=Ord`, `n,数詞,数,*`, `n,数詞,数字,*`, `p,助詞,句末,*`, `p,助詞,句頭,*`, `p,助詞,接続,並列`, `p,助詞,接続,体言化`, `p,助詞,接続,属格`, `p,助詞,提示,*`, `p,感嘆詞,*,*`, `p,接尾辞,*,*`, `s,文字,*,*`, `s,記号,一般,*`, `s,記号,括弧開,*`, `s,記号,読点,*`, `v,前置詞,基盤,*`, `v,前置詞,源泉,*`, `v,前置詞,経由,*`, `v,前置詞,関係,*`, `v,副詞,判断,推定`, `v,副詞,判断,確定`, `v,副詞,判断,逆接`, `v,副詞,否定,体言否定__Polarity=Neg`, `v,副詞,否定,有界__Polarity=Neg`, `v,副詞,否定,無界__Polarity=Neg`, `v,副詞,否定,禁止__Polarity=Neg`, `v,副詞,描写,*`, `v,副詞,時相,変化__AdvType=Tim`, `v,副詞,時相,完了__AdvType=Tim\|Aspect=Perf`, `v,副詞,時相,将来__AdvType=Tim\|Tense=Fut`, `v,副詞,時相,恒常__AdvType=Tim`, `v,副詞,��相,現在__AdvType=Tim\|Tense=Pres`, `v,副詞,時相,終局__AdvType=Tim`, `v,副詞,時相,継起__AdvType=Tim`, `v,副詞,時相,緊接__AdvType=Tim`, `v,副詞,時相,過去__AdvType=Tim\|Tense=Past`, `v,副詞,疑問,原因__AdvType=Cau`, `v,副詞,疑問,反語`, `v,副詞,疑問,所在`, `v,副詞,程度,やや高度__AdvType=Deg\|Degree=Cmp`, `v,副詞,程度,極度__AdvType=Deg\|Degree=Sup`, `v,副詞,程度,軽度__AdvType=Deg\|Degree=Pos`, `v,副詞,範囲,共同`, `v,副詞,範囲,総括`, `v,副詞,範囲,限定`, `v,副詞,頻度,偶発`, `v,副詞,頻度,重複`, `v,副詞,頻度,頻繁`, `v,助動詞,受動,*__Voice=Pass`, `v,助動詞,可能,*__Mood=Pot`, `v,助動詞,必要,*__Mood=Nec`, `v,助動詞,願望,*__Mood=Des`, `v,動詞,変化,制度`, `v,動詞,変化,制度__VerbForm=Conv`, `v,動詞,変化,制度__VerbForm=Part`, `v,動詞,変化,性質`, `v,動詞,変化,性質__VerbForm=Conv`, `v,動詞,変化,性質__VerbForm=Part`, `v,動詞,変化,生物`, `v,動詞,変化,生物__VerbForm=Conv`, `v,動詞,変化,生物__VerbForm=Part`, `v,動詞,存在,存在`, `v,動詞,存在,存在__Polarity=Neg`, `v,動詞,存在,存在__Polarity=Neg\|VerbForm=Conv`, `v,動詞,存在,存在__Polarity=Neg\|VerbForm=Part`, `v,動詞,存在,存在__VerbForm=Conv`, `v,動詞,存在,存在__VerbForm=Part`, `v,動詞,存在,存在__VerbType=Cop`, `v,動詞,描写,境遇__Degree=Pos`, `v,動詞,描写,境遇__Degree=Pos\|VerbForm=Conv`, `v,動詞,描写,境遇__Degree=Pos\|VerbForm=Part`, `v,動詞,描写,形質__Degree=Pos`, `v,動詞,描写,形質__Degree=Pos\|VerbForm=Conv`, `v,動詞,描写,形質__Degree=Pos\|VerbForm=Part`, `v,動詞,描写,態度__Degree=Pos`, `v,動詞,描写,態度__Degree=Pos\|VerbForm=Conv`, `v,動詞,描写,態度__Degree=Pos\|VerbForm=Part`, `v,動詞,描写,量__Degree=Pos`, `v,動詞,描写,量__Degree=Pos\|VerbForm=Conv`, `v,動詞,描写,量__Degree=Pos\|VerbForm=Part`, `v,動詞,行為,交流`, `v,動詞,行為,交流__VerbForm=Conv`, `v,動詞,行為,交流__VerbForm=Part`, `v,動詞,行為,伝達`, `v,動詞,行為,伝達__VerbForm=Conv`, `v,動詞,行為,伝達__VerbForm=Part`, `v,動詞,行為,使役`, `v,動詞,行為,使役__VerbForm=Conv`, `v,動詞,行為,使役__VerbForm=Part`, `v,動詞,行為,儀礼`, `v,動詞,行為,儀礼__VerbForm=Conv`, `v,動詞,行為,儀礼__VerbForm=Part`, `v,動詞,行為,分類__Degree=Equ`, `v,動詞,行為,分類__Degree=Equ\|VerbForm=Conv`, `v,動詞,行為,分類__Degree=Equ\|VerbForm=Part`, `v,動詞,行為,動作`, `v,動詞,行為,動作__VerbForm=Conv`, `v,動詞,行為,動作__VerbForm=Part`, `v,動詞,行為,姿勢`, `v,動詞,行為,姿勢__VerbForm=Conv`, `v,動詞,行為,姿勢__VerbForm=Part`, `v,動詞,行為,役割`, `v,動詞,行為,役割__VerbForm=Conv`, `v,動詞,行為,役割__VerbForm=Part`, `v,動詞,行為,得失`, `v,動詞,行為,得失__VerbForm=Conv`, `v,動詞,行為,得失__VerbForm=Part`, `v,動詞,行為,態度`, `v,動詞,行為,態度__VerbForm=Conv`, `v,動詞,行為,態度__VerbForm=Part`, `v,動詞,行為,生産`, `v,動詞,行為,生産__VerbForm=Conv`, `v,動詞,行為,生産__VerbForm=Part`, `v,動詞,行為,移動`, `v,動詞,行為,移動__VerbForm=Conv`, `v,動詞,行為,移動__VerbForm=Part`, `v,動詞,行為,設置`, `v,動詞,行為,設置__VerbForm=Conv`, `v,動詞,行為,設置__VerbForm=Part`, `v,動詞,行為,飲食`, `v,動詞,行為,飲食__VerbForm=Conv`, `v,動詞,行為,飲食__VerbForm=Part` |
+| **`morphologizer`** | `POS=VERB`, `Case=Loc\|POS=NOUN`, `POS=VERB\|Polarity=Neg`, `POS=VERB\|VerbForm=Part`, `POS=NOUN`, `POS=ADV`, `AdvType=Tim\|POS=ADV\|Tense=Fut`, `POS=PRON\|Person=3\|PronType=Prs`, `POS=PART`, `POS=NUM`, `POS=CCONJ`, `Case=Tem\|POS=NOUN`, `Degree=Pos\|POS=VERB\|VerbForm=Part`, `Degree=Pos\|POS=VERB`, `NameType=Giv\|POS=PROPN`, `POS=PRON\|Person=2\|PronType=Prs`, `POS=SCONJ`, `POS=ADV\|Polarity=Neg`, `POS=PRON\|PronType=Dem`, `POS=AUX\|VerbType=Cop`, `NameType=Sur\|POS=PROPN`, `Mood=Pot\|POS=AUX`, `POS=ADV\|VerbForm=Conv`, `POS=ADP`, `NameType=Prs\|POS=PROPN`, `AdvType=Tim\|POS=ADV`, `POS=PRON\|Person=1\|PronType=Prs`, `Degree=Pos\|POS=ADV\|VerbForm=Conv`, `Case=Loc\|NameType=Nat\|POS=PROPN`, `POS=INTJ`, `AdvType=Tim\|Aspect=Perf\|POS=ADV`, `POS=PRON\|PronType=Int`, `Case=Loc\|NameType=Geo\|POS=PROPN`, `AdvType=Cau\|POS=ADV`, `POS=PRON\|PronType=Prs\|Reflex=Yes`, `Mood=Des\|POS=AUX`, `Degree=Equ\|POS=VERB`, `AdvType=Tim\|POS=ADV\|Tense=Past`, `POS=PRON\|PronType=Prs`, `POS=SYM`, `AdvType=Deg\|Degree=Cmp\|POS=ADV`, `POS=AUX\|Voice=Pass`, `NounType=Clf\|POS=NOUN`, `POS=ADV\|Polarity=Neg\|VerbForm=Conv`, `NumType=Ord\|POS=NUM`, `POS=VERB\|Polarity=Neg\|VerbForm=Part`, `Degree=Equ\|POS=ADV\|VerbForm=Conv`, `AdvType=Tim\|POS=ADV\|Tense=Pres`, `Mood=Nec\|POS=AUX`, `AdvType=Deg\|Degree=Sup\|POS=ADV`, `Degree=Equ\|POS=VERB\|VerbForm=Part`, `AdvType=Deg\|Degree=Pos\|POS=ADV`, `Degree=Equ\|POS=ADP`, `POS=PUNCT`, `POS=PROPN`, `Degree=Pos\|POS=NOUN` |
+
+</details>
+
+### Accuracy
+
+| Type | Score |
+| --- | --- |
+| `DEP_UAS` | 82.28 |
+| `DEP_LAS` | 76.87 |
+| `SENTS_P` | 99.26 |
+| `SENTS_R` | 99.58 |
+| `SENTS_F` | 99.42 |
+| `LEMMA_ACC` | 94.12 |
+| `TAG_ACC` | 74.18 |
+| `POS_ACC` | 79.45 |
+| `MORPH_ACC` | 82.35 |
+| `TRANSFORMER_LOSS` | 3455711.53 |
+| `PARSER_LOSS` | 1091508.57 |
+| `TRAINABLE_LEMMATIZER_LOSS` | 103471.04 |
+| `TAGGER_LOSS` | 2743935.00 |
+| `MORPHOLOGIZER_LOSS` | 2387347.18 |

config.cfg

@@ -0,0 +1,216 @@
+[paths]
+train = "corpus/train/lzh_train.spacy"
+dev = "corpus/dev/lzh_valid.spacy"
+vectors = null
+init_tok2vec = null
+
+[system]
+gpu_allocator = "pytorch"
+seed = 42
+
+[nlp]
+lang = "zh"
+pipeline = ["transformer","parser","trainable_lemmatizer","tagger","morphologizer"]
+batch_size = 128
+disabled = []
+before_creation = null
+after_creation = null
+after_pipeline_creation = null
+
+[nlp.tokenizer]
+@tokenizers = "spacy.zh.ChineseTokenizer"
+segmenter = "char"
+
+[components]
+
+[components.morphologizer]
+factory = "morphologizer"
+extend = false
+label_smoothing = 0.0
+overwrite = true
+scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
+
+[components.morphologizer.model]
+@architectures = "spacy.Tagger.v2"
+nO = null
+normalize = false
+
+[components.morphologizer.model.tok2vec]
+@architectures = "spacy-transformers.TransformerListener.v1"
+grad_factor = 1.0
+pooling = {"@layers":"reduce_mean.v1"}
+upstream = "*"
+
+[components.parser]
+factory = "parser"
+learn_tokens = false
+min_action_freq = 30
+moves = null
+scorer = {"@scorers":"spacy.parser_scorer.v1"}
+update_with_oracle_cut_size = 100
+
+[components.parser.model]
+@architectures = "spacy.TransitionBasedParser.v2"
+state_type = "parser"
+extra_state_tokens = false
+hidden_width = 128
+maxout_pieces = 3
+use_upper = false
+nO = null
+
+[components.parser.model.tok2vec]
+@architectures = "spacy-transformers.TransformerListener.v1"
+grad_factor = 1.0
+pooling = {"@layers":"reduce_mean.v1"}
+upstream = "*"
+
+[components.tagger]
+factory = "tagger"
+label_smoothing = 0.0
+neg_prefix = "!"
+overwrite = false
+scorer = {"@scorers":"spacy.tagger_scorer.v1"}
+
+[components.tagger.model]
+@architectures = "spacy.Tagger.v2"
+nO = null
+normalize = false
+
+[components.tagger.model.tok2vec]
+@architectures = "spacy-transformers.TransformerListener.v1"
+grad_factor = 1.0
+pooling = {"@layers":"reduce_mean.v1"}
+upstream = "*"
+
+[components.trainable_lemmatizer]
+factory = "trainable_lemmatizer"
+backoff = "orth"
+min_tree_freq = 3
+overwrite = false
+scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
+top_k = 1
+
+[components.trainable_lemmatizer.model]
+@architectures = "spacy.Tagger.v2"
+nO = null
+normalize = false
+
+[components.trainable_lemmatizer.model.tok2vec]
+@architectures = "spacy-transformers.TransformerListener.v1"
+grad_factor = 1.0
+pooling = {"@layers":"reduce_mean.v1"}
+upstream = "*"
+
+[components.transformer]
+factory = "transformer"
+max_batch_items = 4096
+set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
+
+[components.transformer.model]
+@architectures = "spacy-transformers.TransformerModel.v3"
+name = "ljvmiranda921/LiBERTus-base"
+mixed_precision = false
+
+[components.transformer.model.get_spans]
+@span_getters = "spacy-transformers.strided_spans.v1"
+window = 128
+stride = 96
+
+[components.transformer.model.grad_scaler_config]
+
+[components.transformer.model.tokenizer_config]
+use_fast = true
+
+[components.transformer.model.transformer_config]
+
+[corpora]
+
+[corpora.dev]
+@readers = "spacy.Corpus.v1"
+path = ${paths.dev}
+max_length = 0
+gold_preproc = false
+limit = 0
+augmenter = null
+
+[corpora.train]
+@readers = "spacy.Corpus.v1"
+path = ${paths.train}
+max_length = 0
+gold_preproc = false
+limit = 0
+augmenter = null
+
+[training]
+accumulate_gradient = 3
+dev_corpus = "corpora.dev"
+train_corpus = "corpora.train"
+seed = ${system.seed}
+gpu_allocator = ${system.gpu_allocator}
+dropout = 0.1
+patience = 1600
+max_epochs = 0
+max_steps = 20000
+eval_frequency = 200
+frozen_components = []
+annotating_components = []
+before_to_disk = null
+before_update = null
+
+[training.batcher]
+@batchers = "spacy.batch_by_padded.v1"
+discard_oversize = true
+size = 2000
+buffer = 256
+get_length = null
+
+[training.logger]
+@loggers = "spacy.ConsoleLogger.v3"
+console_output = true
+progress_bar = "eval"
+output_file = null
+
+[training.optimizer]
+@optimizers = "Adam.v1"
+beta1 = 0.9
+beta2 = 0.999
+L2_is_weight_decay = true
+L2 = 0.01
+grad_clip = 1.0
+use_averages = false
+eps = 0.00000001
+
+[training.optimizer.learn_rate]
+@schedules = "warmup_linear.v1"
+warmup_steps = 250
+total_steps = 20000
+initial_rate = 0.00005
+
+[training.score_weights]
+dep_uas = 0.09
+dep_las = 0.09
+dep_las_per_type = null
+sents_p = null
+sents_r = null
+sents_f = 0.0
+lemma_acc = 0.17
+tag_acc = 0.17
+pos_acc = 0.25
+morph_acc = 0.25
+morph_per_feat = null
+
+[pretraining]
+
+[initialize]
+vectors = ${paths.vectors}
+init_tok2vec = ${paths.init_tok2vec}
+vocab_data = null
+lookups = null
+before_init = null
+after_init = null
+
+[initialize.components]
+
+[initialize.tokenizer]
+pkuseg_model = null
+pkuseg_user_dict = "default"

meta.json

@@ -0,0 +1,621 @@
+{
+  "lang":"zh",
+  "name":"lzh_sigtyp_trf",
+  "version":"0.1.0",
+  "description":"",
+  "author":"",
+  "email":"",
+  "url":"",
+  "license":"",
+  "spacy_version":">=3.6.1,<3.7.0",
+  "spacy_git_version":"458bc5f45",
+  "vectors":{
+    "width":0,
+    "vectors":0,
+    "keys":0,
+    "name":null
+  },
+  "labels":{
+    "transformer":[
+
+    ],
+    "parser":[
+      "ROOT",
+      "acl",
+      "advcl",
+      "advmod",
+      "amod",
+      "aux",
+      "case",
+      "cc",
+      "ccomp",
+      "clf",
+      "compound",
+      "compound:redup",
+      "conj",
+      "cop",
+      "csubj",
+      "csubj:outer",
+      "dep",
+      "det",
+      "discourse",
+      "discourse:sp",
+      "dislocated",
+      "expl",
+      "fixed",
+      "flat",
+      "flat:foreign",
+      "flat:vv",
+      "iobj",
+      "list",
+      "mark",
+      "nmod",
+      "nsubj",
+      "nsubj:outer",
+      "nummod",
+      "obj",
+      "obl",
+      "obl:lmod",
+      "obl:tmod",
+      "parataxis",
+      "vocative",
+      "xcomp"
+    ],
+    "tagger":[
+      "n,\u4ee3\u540d\u8a5e,\u4eba\u79f0,\u4ed6__Person=1|PronType=Prs",
+      "n,\u4ee3\u540d\u8a5e,\u4eba\u79f0,\u4ed6__Person=2|PronType=Prs",
+      "n,\u4ee3\u540d\u8a5e,\u4eba\u79f0,\u4ed6__Person=3|PronType=Prs",
+      "n,\u4ee3\u540d\u8a5e,\u4eba\u79f0,\u4ed6__PronType=Prs",
+      "n,\u4ee3\u540d\u8a5e,\u4eba\u79f0,\u4ed6__PronType=Prs|Reflex=Yes",
+      "n,\u4ee3\u540d\u8a5e,\u4eba\u79f0,\u6b62\u683c__Person=1|PronType=Prs",
+      "n,\u4ee3\u540d\u8a5e,\u4eba\u79f0,\u6b62\u683c__Person=2|PronType=Prs",
+      "n,\u4ee3\u540d\u8a5e,\u4eba\u79f0,\u6b62\u683c__Person=3|PronType=Prs",
+      "n,\u4ee3\u540d\u8a5e,\u4eba\u79f0,\u8d77\u683c__Person=1|PronType=Prs",
+      "n,\u4ee3\u540d\u8a5e,\u4eba\u79f0,\u8d77\u683c__Person=2|PronType=Prs",
+      "n,\u4ee3\u540d\u8a5e,\u4eba\u79f0,\u8d77\u683c__Person=3|PronType=Prs",
+      "n,\u4ee3\u540d\u8a5e,\u4eba\u79f0,\u8d77\u683c__PronType=Prs",
+      "n,\u4ee3\u540d\u8a5e,\u6307\u793a,*__PronType=Dem",
+      "n,\u4ee3\u540d\u8a5e,\u7591\u554f,*__PronType=Int",
+      "n,\u540d\u8a5e,\u4e0d\u53ef\u8b72,\u5c5e\u6027",
+      "n,\u540d\u8a5e,\u4e0d\u53ef\u8b72,\u75be\u75c5",
+      "n,\u540d\u8a5e,\u4e0d\u53ef\u8b72,\u8eab\u4f53",
+      "n,\u540d\u8a5e,\u4e3b\u4f53,\u52d5\u7269",
+      "n,\u540d\u8a5e,\u4e3b\u4f53,\u56fd\u540d__Case=Loc|NameType=Nat",
+      "n,\u540d\u8a5e,\u4e3b\u4f53,\u66f8\u7269",
+      "n,\u540d\u8a5e,\u4e3b\u4f53,\u6a5f\u95a2",
+      "n,\u540d\u8a5e,\u4e3b\u4f53,\u795e\u4ecf",
+      "n,\u540d\u8a5e,\u4e3b\u4f53,\u96c6\u56e3",
+      "n,\u540d\u8a5e,\u4eba,\u305d\u306e\u4ed6\u306e\u4eba\u540d__NameType=Prs",
+      "n,\u540d\u8a5e,\u4eba,\u4eba",
+      "n,\u540d\u8a5e,\u4eba,\u540d__NameType=Giv",
+      "n,\u540d\u8a5e,\u4eba,\u59d3\u6c0f__NameType=Sur",
+      "n,\u540d\u8a5e,\u4eba,\u5f79\u5272",
+      "n,\u540d\u8a5e,\u4eba,\u8907\u5408\u7684\u4eba\u540d__NameType=Prs",
+      "n,\u540d\u8a5e,\u4eba,\u95a2\u4fc2",
+      "n,\u540d\u8a5e,\u5236\u5ea6,\u5100\u793c",
+      "n,\u540d\u8a5e,\u5236\u5ea6,\u5834__Case=Loc",
+      "n,\u540d\u8a5e,\u53ef\u642c,\u4e57\u308a\u7269",
+      "n,\u540d\u8a5e,\u53ef\u642c,\u4f1d\u9054",
+      "n,\u540d\u8a5e,\u53ef\u642c,\u6210\u679c\u7269",
+      "n,\u540d\u8a5e,\u53ef\u642c,\u7ce7\u98df",
+      "n,\u540d\u8a5e,\u53ef\u642c,\u9053\u5177",
+      "n,\u540d\u8a5e,\u56fa\u5b9a\u7269,\u5730\u540d__Case=Loc|NameType=Geo",
+      "n,\u540d\u8a5e,\u56fa\u5b9a\u7269,\u5730\u5f62__Case=Loc",
+      "n,\u540d\u8a5e,\u56fa\u5b9a\u7269,\u5efa\u9020\u7269__Case=Loc",
+      "n,\u540d\u8a5e,\u56fa\u5b9a\u7269,\u6a39\u6728",
+      "n,\u540d\u8a5e,\u56fa\u5b9a\u7269,\u95a2\u4fc2__Case=Loc",
+      "n,\u540d\u8a5e,\u5916\u89b3,\u4eba",
+      "n,\u540d\u8a5e,\u5929\u8c61,\u5929\u6587",
+      "n,\u540d\u8a5e,\u5929\u8c61,\u602a\u7570",
+      "n,\u540d\u8a5e,\u5929\u8c61,\u6c17\u8c61",
+      "n,\u540d\u8a5e,\u5ea6\u91cf\u8861,*__NounType=Clf",
+      "n,\u540d\u8a5e,\u601d\u8003,*",
+      "n,\u540d\u8a5e,\u601d\u8003,\u601d\u8003",
+      "n,\u540d\u8a5e,\u63cf\u5199,\u5f62\u8cea",
+      "n,\u540d\u8a5e,\u63cf\u5199,\u614b\u5ea6",
+      "n,\u540d\u8a5e,\u6570\u91cf,*",
+      "n,\u540d\u8a5e,\u6642,*__Case=Tem",
+      "n,\u540d\u8a5e,\u884c\u70ba,*",
+      "n,\u6570\u8a5e,\u5e72\u652f,*__NumType=Ord",
+      "n,\u6570\u8a5e,\u6570,*",
+      "n,\u6570\u8a5e,\u6570\u5b57,*",
+      "p,\u52a9\u8a5e,\u53e5\u672b,*",
+      "p,\u52a9\u8a5e,\u53e5\u982d,*",
+      "p,\u52a9\u8a5e,\u63a5\u7d9a,\u4e26\u5217",
+      "p,\u52a9\u8a5e,\u63a5\u7d9a,\u4f53\u8a00\u5316",
+      "p,\u52a9\u8a5e,\u63a5\u7d9a,\u5c5e\u683c",
+      "p,\u52a9\u8a5e,\u63d0\u793a,*",
+      "p,\u611f\u5606\u8a5e,*,*",
+      "p,\u63a5\u5c3e\u8f9e,*,*",
+      "s,\u6587\u5b57,*,*",
+      "s,\u8a18\u53f7,\u4e00\u822c,*",
+      "s,\u8a18\u53f7,\u62ec\u5f27\u958b,*",
+      "s,\u8a18\u53f7,\u8aad\u70b9,*",
+      "v,\u524d\u7f6e\u8a5e,\u57fa\u76e4,*",
+      "v,\u524d\u7f6e\u8a5e,\u6e90\u6cc9,*",
+      "v,\u524d\u7f6e\u8a5e,\u7d4c\u7531,*",
+      "v,\u524d\u7f6e\u8a5e,\u95a2\u4fc2,*",
+      "v,\u526f\u8a5e,\u5224\u65ad,\u63a8\u5b9a",
+      "v,\u526f\u8a5e,\u5224\u65ad,\u78ba\u5b9a",
+      "v,\u526f\u8a5e,\u5224\u65ad,\u9006\u63a5",
+      "v,\u526f\u8a5e,\u5426\u5b9a,\u4f53\u8a00\u5426\u5b9a__Polarity=Neg",
+      "v,\u526f\u8a5e,\u5426\u5b9a,\u6709\u754c__Polarity=Neg",
+      "v,\u526f\u8a5e,\u5426\u5b9a,\u7121\u754c__Polarity=Neg",
+      "v,\u526f\u8a5e,\u5426\u5b9a,\u7981\u6b62__Polarity=Neg",
+      "v,\u526f\u8a5e,\u63cf\u5199,*",
+      "v,\u526f\u8a5e,\u6642\u76f8,\u5909\u5316__AdvType=Tim",
+      "v,\u526f\u8a5e,\u6642\u76f8,\u5b8c\u4e86__AdvType=Tim|Aspect=Perf",
+      "v,\u526f\u8a5e,\u6642\u76f8,\u5c06\u6765__AdvType=Tim|Tense=Fut",
+      "v,\u526f\u8a5e,\u6642\u76f8,\u6052\u5e38__AdvType=Tim",
+      "v,\u526f\u8a5e,\u6642\u76f8,\u73fe\u5728__AdvType=Tim|Tense=Pres",
+      "v,\u526f\u8a5e,\u6642\u76f8,\u7d42\u5c40__AdvType=Tim",
+      "v,\u526f\u8a5e,\u6642\u76f8,\u7d99\u8d77__AdvType=Tim",
+      "v,\u526f\u8a5e,\u6642\u76f8,\u7dca\u63a5__AdvType=Tim",
+      "v,\u526f\u8a5e,\u6642\u76f8,\u904e\u53bb__AdvType=Tim|Tense=Past",
+      "v,\u526f\u8a5e,\u7591\u554f,\u539f\u56e0__AdvType=Cau",
+      "v,\u526f\u8a5e,\u7591\u554f,\u53cd\u8a9e",
+      "v,\u526f\u8a5e,\u7591\u554f,\u6240\u5728",
+      "v,\u526f\u8a5e,\u7a0b\u5ea6,\u3084\u3084\u9ad8\u5ea6__AdvType=Deg|Degree=Cmp",
+      "v,\u526f\u8a5e,\u7a0b\u5ea6,\u6975\u5ea6__AdvType=Deg|Degree=Sup",
+      "v,\u526f\u8a5e,\u7a0b\u5ea6,\u8efd\u5ea6__AdvType=Deg|Degree=Pos",
+      "v,\u526f\u8a5e,\u7bc4\u56f2,\u5171\u540c",
+      "v,\u526f\u8a5e,\u7bc4\u56f2,\u7dcf\u62ec",
+      "v,\u526f\u8a5e,\u7bc4\u56f2,\u9650\u5b9a",
+      "v,\u526f\u8a5e,\u983b\u5ea6,\u5076\u767a",
+      "v,\u526f\u8a5e,\u983b\u5ea6,\u91cd\u8907",
+      "v,\u526f\u8a5e,\u983b\u5ea6,\u983b\u7e41",
+      "v,\u52a9\u52d5\u8a5e,\u53d7\u52d5,*__Voice=Pass",
+      "v,\u52a9\u52d5\u8a5e,\u53ef\u80fd,*__Mood=Pot",
+      "v,\u52a9\u52d5\u8a5e,\u5fc5\u8981,*__Mood=Nec",
+      "v,\u52a9\u52d5\u8a5e,\u9858\u671b,*__Mood=Des",
+      "v,\u52d5\u8a5e,\u5909\u5316,\u5236\u5ea6",
+      "v,\u52d5\u8a5e,\u5909\u5316,\u5236\u5ea6__VerbForm=Conv",
+      "v,\u52d5\u8a5e,\u5909\u5316,\u5236\u5ea6__VerbForm=Part",
+      "v,\u52d5\u8a5e,\u5909\u5316,\u6027\u8cea",
+      "v,\u52d5\u8a5e,\u5909\u5316,\u6027\u8cea__VerbForm=Conv",
+      "v,\u52d5\u8a5e,\u5909\u5316,\u6027\u8cea__VerbForm=Part",
+      "v,\u52d5\u8a5e,\u5909\u5316,\u751f\u7269",
+      "v,\u52d5\u8a5e,\u5909\u5316,\u751f\u7269__VerbForm=Conv",
+      "v,\u52d5\u8a5e,\u5909\u5316,\u751f\u7269__VerbForm=Part",
+      "v,\u52d5\u8a5e,\u5b58\u5728,\u5b58\u5728",
+      "v,\u52d5\u8a5e,\u5b58\u5728,\u5b58\u5728__Polarity=Neg",
+      "v,\u52d5\u8a5e,\u5b58\u5728,\u5b58\u5728__Polarity=Neg|VerbForm=Conv",
+      "v,\u52d5\u8a5e,\u5b58\u5728,\u5b58\u5728__Polarity=Neg|VerbForm=Part",
+      "v,\u52d5\u8a5e,\u5b58\u5728,\u5b58\u5728__VerbForm=Conv",
+      "v,\u52d5\u8a5e,\u5b58\u5728,\u5b58\u5728__VerbForm=Part",
+      "v,\u52d5\u8a5e,\u5b58\u5728,\u5b58\u5728__VerbType=Cop",
+      "v,\u52d5\u8a5e,\u63cf\u5199,\u5883\u9047__Degree=Pos",
+      "v,\u52d5\u8a5e,\u63cf\u5199,\u5883\u9047__Degree=Pos|VerbForm=Conv",
+      "v,\u52d5\u8a5e,\u63cf\u5199,\u5883\u9047__Degree=Pos|VerbForm=Part",
+      "v,\u52d5\u8a5e,\u63cf\u5199,\u5f62\u8cea__Degree=Pos",
+      "v,\u52d5\u8a5e,\u63cf\u5199,\u5f62\u8cea__Degree=Pos|VerbForm=Conv",
+      "v,\u52d5\u8a5e,\u63cf\u5199,\u5f62\u8cea__Degree=Pos|VerbForm=Part",
+      "v,\u52d5\u8a5e,\u63cf\u5199,\u614b\u5ea6__Degree=Pos",
+      "v,\u52d5\u8a5e,\u63cf\u5199,\u614b\u5ea6__Degree=Pos|VerbForm=Conv",
+      "v,\u52d5\u8a5e,\u63cf\u5199,\u614b\u5ea6__Degree=Pos|VerbForm=Part",
+      "v,\u52d5\u8a5e,\u63cf\u5199,\u91cf__Degree=Pos",
+      "v,\u52d5\u8a5e,\u63cf\u5199,\u91cf__Degree=Pos|VerbForm=Conv",
+      "v,\u52d5\u8a5e,\u63cf\u5199,\u91cf__Degree=Pos|VerbForm=Part",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u4ea4\u6d41",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u4ea4\u6d41__VerbForm=Conv",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u4ea4\u6d41__VerbForm=Part",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u4f1d\u9054",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u4f1d\u9054__VerbForm=Conv",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u4f1d\u9054__VerbForm=Part",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u4f7f\u5f79",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u4f7f\u5f79__VerbForm=Conv",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u4f7f\u5f79__VerbForm=Part",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u5100\u793c",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u5100\u793c__VerbForm=Conv",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u5100\u793c__VerbForm=Part",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u5206\u985e__Degree=Equ",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u5206\u985e__Degree=Equ|VerbForm=Conv",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u5206\u985e__Degree=Equ|VerbForm=Part",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u52d5\u4f5c",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u52d5\u4f5c__VerbForm=Conv",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u52d5\u4f5c__VerbForm=Part",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u59ff\u52e2",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u59ff\u52e2__VerbForm=Conv",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u59ff\u52e2__VerbForm=Part",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u5f79\u5272",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u5f79\u5272__VerbForm=Conv",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u5f79\u5272__VerbForm=Part",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u5f97\u5931",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u5f97\u5931__VerbForm=Conv",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u5f97\u5931__VerbForm=Part",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u614b\u5ea6",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u614b\u5ea6__VerbForm=Conv",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u614b\u5ea6__VerbForm=Part",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u751f\u7523",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u751f\u7523__VerbForm=Conv",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u751f\u7523__VerbForm=Part",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u79fb\u52d5",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u79fb\u52d5__VerbForm=Conv",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u79fb\u52d5__VerbForm=Part",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u8a2d\u7f6e",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u8a2d\u7f6e__VerbForm=Conv",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u8a2d\u7f6e__VerbForm=Part",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u98f2\u98df",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u98f2\u98df__VerbForm=Conv",
+      "v,\u52d5\u8a5e,\u884c\u70ba,\u98f2\u98df__VerbForm=Part"
+    ],
+    "morphologizer":[
+      "POS=VERB",
+      "Case=Loc|POS=NOUN",
+      "POS=VERB|Polarity=Neg",
+      "POS=VERB|VerbForm=Part",
+      "POS=NOUN",
+      "POS=ADV",
+      "AdvType=Tim|POS=ADV|Tense=Fut",
+      "POS=PRON|Person=3|PronType=Prs",
+      "POS=PART",
+      "POS=NUM",
+      "POS=CCONJ",
+      "Case=Tem|POS=NOUN",
+      "Degree=Pos|POS=VERB|VerbForm=Part",
+      "Degree=Pos|POS=VERB",
+      "NameType=Giv|POS=PROPN",
+      "POS=PRON|Person=2|PronType=Prs",
+      "POS=SCONJ",
+      "POS=ADV|Polarity=Neg",
+      "POS=PRON|PronType=Dem",
+      "POS=AUX|VerbType=Cop",
+      "NameType=Sur|POS=PROPN",
+      "Mood=Pot|POS=AUX",
+      "POS=ADV|VerbForm=Conv",
+      "POS=ADP",
+      "NameType=Prs|POS=PROPN",
+      "AdvType=Tim|POS=ADV",
+      "POS=PRON|Person=1|PronType=Prs",
+      "Degree=Pos|POS=ADV|VerbForm=Conv",
+      "Case=Loc|NameType=Nat|POS=PROPN",
+      "POS=INTJ",
+      "AdvType=Tim|Aspect=Perf|POS=ADV",
+      "POS=PRON|PronType=Int",
+      "Case=Loc|NameType=Geo|POS=PROPN",
+      "AdvType=Cau|POS=ADV",
+      "POS=PRON|PronType=Prs|Reflex=Yes",
+      "Mood=Des|POS=AUX",
+      "Degree=Equ|POS=VERB",
+      "AdvType=Tim|POS=ADV|Tense=Past",
+      "POS=PRON|PronType=Prs",
+      "POS=SYM",
+      "AdvType=Deg|Degree=Cmp|POS=ADV",
+      "POS=AUX|Voice=Pass",
+      "NounType=Clf|POS=NOUN",
+      "POS=ADV|Polarity=Neg|VerbForm=Conv",
+      "NumType=Ord|POS=NUM",
+      "POS=VERB|Polarity=Neg|VerbForm=Part",
+      "Degree=Equ|POS=ADV|VerbForm=Conv",
+      "AdvType=Tim|POS=ADV|Tense=Pres",
+      "Mood=Nec|POS=AUX",
+      "AdvType=Deg|Degree=Sup|POS=ADV",
+      "Degree=Equ|POS=VERB|VerbForm=Part",
+      "AdvType=Deg|Degree=Pos|POS=ADV",
+      "Degree=Equ|POS=ADP",
+      "POS=PUNCT",
+      "POS=PROPN",
+      "Degree=Pos|POS=NOUN"
+    ]
+  },
+  "pipeline":[
+    "transformer",
+    "parser",
+    "trainable_lemmatizer",
+    "tagger",
+    "morphologizer"
+  ],
+  "components":[
+    "transformer",
+    "parser",
+    "trainable_lemmatizer",
+    "tagger",
+    "morphologizer"
+  ],
+  "disabled":[
+
+  ],
+  "performance":{
+    "dep_uas":0.8227824679,
+    "dep_las":0.7687085041,
+    "dep_las_per_type":{
+      "obl:lmod":{
+        "p":0.7175438596,
+        "r":0.7574074074,
+        "f":0.7369369369
+      },
+      "root":{
+        "p":0.8506410997,
+        "r":0.8538961039,
+        "f":0.8522654939
+      },
+      "obj":{
+        "p":0.7886742612,
+        "r":0.8133832794,
+        "f":0.800838223
+      },
+      "nsubj":{
+        "p":0.7697419859,
+        "r":0.7765726681,
+        "f":0.7731422401
+      },
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+    "parser_loss":10915.0856971908,
+    "trainable_lemmatizer_loss":1034.7104087231,
+    "tagger_loss":27439.3499745419,
+    "morphologizer_loss":23873.4718287597
+  },
+  "requirements":[
+    "spacy-transformers>=1.3.4,<1.4.0"
+  ]
+}

morphologizer/cfg

@@ -0,0 +1,121 @@
+{
+  "extend":false,
+  "label_smoothing":0.0,
+  "labels_morph":{
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+    "Case=Loc|POS=NOUN":"Case=Loc",
+    "POS=VERB|Polarity=Neg":"Polarity=Neg",
+    "POS=VERB|VerbForm=Part":"VerbForm=Part",
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+    "POS=ADV":"",
+    "AdvType=Tim|POS=ADV|Tense=Fut":"AdvType=Tim|Tense=Fut",
+    "POS=PRON|Person=3|PronType=Prs":"Person=3|PronType=Prs",
+    "POS=PART":"",
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+    "POS=CCONJ":"",
+    "Case=Tem|POS=NOUN":"Case=Tem",
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+    "Degree=Pos|POS=VERB":"Degree=Pos",
+    "NameType=Giv|POS=PROPN":"NameType=Giv",
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+    "Case=Loc|NameType=Nat|POS=PROPN":96,
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+}

parser/cfg

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+}

parser/model

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+size 1088787

parser/moves

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tagger/cfg

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+{
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+    "n,\u540d\u8a5e,\u884c\u70ba,*",
+    "n,\u6570\u8a5e,\u5e72\u652f,*__NumType=Ord",
+    "n,\u6570\u8a5e,\u6570,*",
+    "n,\u6570\u8a5e,\u6570\u5b57,*",
+    "p,\u52a9\u8a5e,\u53e5\u672b,*",
+    "p,\u52a9\u8a5e,\u53e5\u982d,*",
+    "p,\u52a9\u8a5e,\u63a5\u7d9a,\u4e26\u5217",
+    "p,\u52a9\u8a5e,\u63a5\u7d9a,\u4f53\u8a00\u5316",
+    "p,\u52a9\u8a5e,\u63a5\u7d9a,\u5c5e\u683c",
+    "p,\u52a9\u8a5e,\u63d0\u793a,*",
+    "p,\u611f\u5606\u8a5e,*,*",
+    "p,\u63a5\u5c3e\u8f9e,*,*",
+    "s,\u6587\u5b57,*,*",
+    "s,\u8a18\u53f7,\u4e00\u822c,*",
+    "s,\u8a18\u53f7,\u62ec\u5f27\u958b,*",
+    "s,\u8a18\u53f7,\u8aad\u70b9,*",
+    "v,\u524d\u7f6e\u8a5e,\u57fa\u76e4,*",
+    "v,\u524d\u7f6e\u8a5e,\u6e90\u6cc9,*",
+    "v,\u524d\u7f6e\u8a5e,\u7d4c\u7531,*",
+    "v,\u524d\u7f6e\u8a5e,\u95a2\u4fc2,*",
+    "v,\u526f\u8a5e,\u5224\u65ad,\u63a8\u5b9a",
+    "v,\u526f\u8a5e,\u5224\u65ad,\u78ba\u5b9a",
+    "v,\u526f\u8a5e,\u5224\u65ad,\u9006\u63a5",
+    "v,\u526f\u8a5e,\u5426\u5b9a,\u4f53\u8a00\u5426\u5b9a__Polarity=Neg",
+    "v,\u526f\u8a5e,\u5426\u5b9a,\u6709\u754c__Polarity=Neg",
+    "v,\u526f\u8a5e,\u5426\u5b9a,\u7121\u754c__Polarity=Neg",
+    "v,\u526f\u8a5e,\u5426\u5b9a,\u7981\u6b62__Polarity=Neg",
+    "v,\u526f\u8a5e,\u63cf\u5199,*",
+    "v,\u526f\u8a5e,\u6642\u76f8,\u5909\u5316__AdvType=Tim",
+    "v,\u526f\u8a5e,\u6642\u76f8,\u5b8c\u4e86__AdvType=Tim|Aspect=Perf",
+    "v,\u526f\u8a5e,\u6642\u76f8,\u5c06\u6765__AdvType=Tim|Tense=Fut",
+    "v,\u526f\u8a5e,\u6642\u76f8,\u6052\u5e38__AdvType=Tim",
+    "v,\u526f\u8a5e,\u6642\u76f8,\u73fe\u5728__AdvType=Tim|Tense=Pres",
+    "v,\u526f\u8a5e,\u6642\u76f8,\u7d42\u5c40__AdvType=Tim",
+    "v,\u526f\u8a5e,\u6642\u76f8,\u7d99\u8d77__AdvType=Tim",
+    "v,\u526f\u8a5e,\u6642\u76f8,\u7dca\u63a5__AdvType=Tim",
+    "v,\u526f\u8a5e,\u6642\u76f8,\u904e\u53bb__AdvType=Tim|Tense=Past",
+    "v,\u526f\u8a5e,\u7591\u554f,\u539f\u56e0__AdvType=Cau",
+    "v,\u526f\u8a5e,\u7591\u554f,\u53cd\u8a9e",
+    "v,\u526f\u8a5e,\u7591\u554f,\u6240\u5728",
+    "v,\u526f\u8a5e,\u7a0b\u5ea6,\u3084\u3084\u9ad8\u5ea6__AdvType=Deg|Degree=Cmp",
+    "v,\u526f\u8a5e,\u7a0b\u5ea6,\u6975\u5ea6__AdvType=Deg|Degree=Sup",
+    "v,\u526f\u8a5e,\u7a0b\u5ea6,\u8efd\u5ea6__AdvType=Deg|Degree=Pos",
+    "v,\u526f\u8a5e,\u7bc4\u56f2,\u5171\u540c",
+    "v,\u526f\u8a5e,\u7bc4\u56f2,\u7dcf\u62ec",
+    "v,\u526f\u8a5e,\u7bc4\u56f2,\u9650\u5b9a",
+    "v,\u526f\u8a5e,\u983b\u5ea6,\u5076\u767a",
+    "v,\u526f\u8a5e,\u983b\u5ea6,\u91cd\u8907",
+    "v,\u526f\u8a5e,\u983b\u5ea6,\u983b\u7e41",
+    "v,\u52a9\u52d5\u8a5e,\u53d7\u52d5,*__Voice=Pass",
+    "v,\u52a9\u52d5\u8a5e,\u53ef\u80fd,*__Mood=Pot",
+    "v,\u52a9\u52d5\u8a5e,\u5fc5\u8981,*__Mood=Nec",
+    "v,\u52a9\u52d5\u8a5e,\u9858\u671b,*__Mood=Des",
+    "v,\u52d5\u8a5e,\u5909\u5316,\u5236\u5ea6",
+    "v,\u52d5\u8a5e,\u5909\u5316,\u5236\u5ea6__VerbForm=Conv",
+    "v,\u52d5\u8a5e,\u5909\u5316,\u5236\u5ea6__VerbForm=Part",
+    "v,\u52d5\u8a5e,\u5909\u5316,\u6027\u8cea",
+    "v,\u52d5\u8a5e,\u5909\u5316,\u6027\u8cea__VerbForm=Conv",
+    "v,\u52d5\u8a5e,\u5909\u5316,\u6027\u8cea__VerbForm=Part",
+    "v,\u52d5\u8a5e,\u5909\u5316,\u751f\u7269",
+    "v,\u52d5\u8a5e,\u5909\u5316,\u751f\u7269__VerbForm=Conv",
+    "v,\u52d5\u8a5e,\u5909\u5316,\u751f\u7269__VerbForm=Part",
+    "v,\u52d5\u8a5e,\u5b58\u5728,\u5b58\u5728",
+    "v,\u52d5\u8a5e,\u5b58\u5728,\u5b58\u5728__Polarity=Neg",
+    "v,\u52d5\u8a5e,\u5b58\u5728,\u5b58\u5728__Polarity=Neg|VerbForm=Conv",
+    "v,\u52d5\u8a5e,\u5b58\u5728,\u5b58\u5728__Polarity=Neg|VerbForm=Part",
+    "v,\u52d5\u8a5e,\u5b58\u5728,\u5b58\u5728__VerbForm=Conv",
+    "v,\u52d5\u8a5e,\u5b58\u5728,\u5b58\u5728__VerbForm=Part",
+    "v,\u52d5\u8a5e,\u5b58\u5728,\u5b58\u5728__VerbType=Cop",
+    "v,\u52d5\u8a5e,\u63cf\u5199,\u5883\u9047__Degree=Pos",
+    "v,\u52d5\u8a5e,\u63cf\u5199,\u5883\u9047__Degree=Pos|VerbForm=Conv",
+    "v,\u52d5\u8a5e,\u63cf\u5199,\u5883\u9047__Degree=Pos|VerbForm=Part",
+    "v,\u52d5\u8a5e,\u63cf\u5199,\u5f62\u8cea__Degree=Pos",
+    "v,\u52d5\u8a5e,\u63cf\u5199,\u5f62\u8cea__Degree=Pos|VerbForm=Conv",
+    "v,\u52d5\u8a5e,\u63cf\u5199,\u5f62\u8cea__Degree=Pos|VerbForm=Part",
+    "v,\u52d5\u8a5e,\u63cf\u5199,\u614b\u5ea6__Degree=Pos",
+    "v,\u52d5\u8a5e,\u63cf\u5199,\u614b\u5ea6__Degree=Pos|VerbForm=Conv",
+    "v,\u52d5\u8a5e,\u63cf\u5199,\u614b\u5ea6__Degree=Pos|VerbForm=Part",
+    "v,\u52d5\u8a5e,\u63cf\u5199,\u91cf__Degree=Pos",
+    "v,\u52d5\u8a5e,\u63cf\u5199,\u91cf__Degree=Pos|VerbForm=Conv",
+    "v,\u52d5\u8a5e,\u63cf\u5199,\u91cf__Degree=Pos|VerbForm=Part",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u4ea4\u6d41",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u4ea4\u6d41__VerbForm=Conv",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u4ea4\u6d41__VerbForm=Part",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u4f1d\u9054",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u4f1d\u9054__VerbForm=Conv",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u4f1d\u9054__VerbForm=Part",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u4f7f\u5f79",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u4f7f\u5f79__VerbForm=Conv",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u4f7f\u5f79__VerbForm=Part",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u5100\u793c",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u5100\u793c__VerbForm=Conv",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u5100\u793c__VerbForm=Part",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u5206\u985e__Degree=Equ",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u5206\u985e__Degree=Equ|VerbForm=Conv",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u5206\u985e__Degree=Equ|VerbForm=Part",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u52d5\u4f5c",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u52d5\u4f5c__VerbForm=Conv",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u52d5\u4f5c__VerbForm=Part",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u59ff\u52e2",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u59ff\u52e2__VerbForm=Conv",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u59ff\u52e2__VerbForm=Part",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u5f79\u5272",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u5f79\u5272__VerbForm=Conv",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u5f79\u5272__VerbForm=Part",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u5f97\u5931",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u5f97\u5931__VerbForm=Conv",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u5f97\u5931__VerbForm=Part",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u614b\u5ea6",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u614b\u5ea6__VerbForm=Conv",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u614b\u5ea6__VerbForm=Part",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u751f\u7523",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u751f\u7523__VerbForm=Conv",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u751f\u7523__VerbForm=Part",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u79fb\u52d5",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u79fb\u52d5__VerbForm=Conv",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u79fb\u52d5__VerbForm=Part",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u8a2d\u7f6e",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u8a2d\u7f6e__VerbForm=Conv",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u8a2d\u7f6e__VerbForm=Part",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u98f2\u98df",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u98f2\u98df__VerbForm=Conv",
+    "v,\u52d5\u8a5e,\u884c\u70ba,\u98f2\u98df__VerbForm=Part"
+  ],
+  "neg_prefix":"!",
+  "overwrite":false
+}

tokenizer/cfg

@@ -0,0 +1,3 @@
+{
+  "segmenter":"char"
+}

trainable_lemmatizer/cfg

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+{
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+    93
+  ]
+}

transformer/cfg

@@ -0,0 +1,3 @@
+{
+  "max_batch_items":4096
+}

transformer/model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:91c6e14d642ad93df7d91b57babdc479e88a38c97ec1c2d2c2589cf52acaf646
+size 508592662

vocab/key2row

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vocab/lookups.bin

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+oid sha256:76be8b528d0075f7aae98d6fa57a6d3c83ae480a8469e668d7b0af968995ac71
+size 1

vocab/vectors.cfg

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+{
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+}

zh_lzh_sigtyp_trf-any-py3-none-any.whl

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