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README.md ADDED
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+ Check style on English text (currently passive text).
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+
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+ | Feature | Description |
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+ | --- | --- |
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+ | **Name** | `en_stylecheck` |
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+ | **Version** | `0.0.1` |
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+ | **spaCy** | `>=3.1.1,<3.2.0` |
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+ | **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner`, `entity_ruler`, `stylecheck` |
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+ | **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner`, `stylecheck` |
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+ | **Vectors** | 684830 keys, 20000 unique vectors (300 dimensions) |
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+ | **Sources** | n/a |
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+ | **License** | `MIT` |
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+ | **Author** | [Explosion](https://explosion.ai) |
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+
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+ ### Label Scheme
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+
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+ <details>
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+
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+ <summary>View label scheme (115 labels for 5 components)</summary>
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+
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+ | Component | Labels |
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+ | --- | --- |
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+ | **`tagger`** | `$`, `''`, `,`, `-LRB-`, `-RRB-`, `.`, `:`, `ADD`, `AFX`, `CC`, `CD`, `DT`, `EX`, `FW`, `HYPH`, `IN`, `JJ`, `JJR`, `JJS`, `LS`, `MD`, `NFP`, `NN`, `NNP`, `NNPS`, `NNS`, `PDT`, `POS`, `PRP`, `PRP$`, `RB`, `RBR`, `RBS`, `RP`, `SYM`, `TO`, `UH`, `VB`, `VBD`, `VBG`, `VBN`, `VBP`, `VBZ`, `WDT`, `WP`, `WP$`, `WRB`, `XX`, ```` |
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+ | **`parser`** | `ROOT`, `acl`, `acomp`, `advcl`, `advmod`, `agent`, `amod`, `appos`, `attr`, `aux`, `auxpass`, `case`, `cc`, `ccomp`, `compound`, `conj`, `csubj`, `csubjpass`, `dative`, `dep`, `det`, `dobj`, `expl`, `intj`, `mark`, `meta`, `neg`, `nmod`, `npadvmod`, `nsubj`, `nsubjpass`, `nummod`, `oprd`, `parataxis`, `pcomp`, `pobj`, `poss`, `preconj`, `predet`, `prep`, `prt`, `punct`, `quantmod`, `relcl`, `xcomp` |
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+ | **`senter`** | `I`, `S` |
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+ | **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |
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+ | **`entity_ruler`** | `PASSIVE` |
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+
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+ </details>
attribute_ruler/patterns ADDED
Binary file (16 kB). View file
 
config.cfg ADDED
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+ [paths]
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+ train = "corpus/en-core-web/train.spacy"
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+ dev = "corpus/en-core-web/dev.spacy"
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+ vectors = "corpus/en_vectors"
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+ raw = null
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+ init_tok2vec = null
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+ vocab_data = null
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+
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+ [system]
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+ gpu_allocator = null
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+ seed = 0
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+
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+ [nlp]
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+ lang = "en"
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+ pipeline = ["tok2vec","tagger","parser","senter","attribute_ruler","lemmatizer","ner","stylecheck"]
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+ disabled = ["senter"]
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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 = 256
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+ tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
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+
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+ [components]
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+
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+ [components.attribute_ruler]
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+ factory = "attribute_ruler"
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+ validate = false
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+
29
+ [components.lemmatizer]
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+ factory = "lemmatizer"
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+ mode = "rule"
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+ model = null
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+ overwrite = false
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+
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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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+ update_with_oracle_cut_size = 100
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+
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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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+
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+ [components.ner.model.tok2vec]
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+ @architectures = "spacy.Tok2Vec.v2"
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+
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+ [components.ner.model.tok2vec.embed]
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+ @architectures = "spacy.MultiHashEmbed.v2"
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+ width = 96
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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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+
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+ [components.ner.model.tok2vec.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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+
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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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+ update_with_oracle_cut_size = 100
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+
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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 = 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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+
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+ [components.parser.model.tok2vec]
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+ @architectures = "spacy.Tok2VecListener.v1"
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+ width = ${components.tok2vec.model.encode:width}
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+ upstream = "tok2vec"
87
+
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+ [components.senter]
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+ factory = "senter"
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+
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+ [components.senter.model]
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+ @architectures = "spacy.Tagger.v1"
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+ nO = null
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+
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+ [components.senter.model.tok2vec]
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+ @architectures = "spacy.Tok2Vec.v2"
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+
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+ [components.senter.model.tok2vec.embed]
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+ @architectures = "spacy.MultiHashEmbed.v2"
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+ width = 16
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+ attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
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+ rows = [1000,500,500,500]
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+ include_static_vectors = true
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+
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+ [components.senter.model.tok2vec.encode]
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+ @architectures = "spacy.MaxoutWindowEncoder.v2"
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+ width = 16
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+ depth = 2
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+ window_size = 1
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+ maxout_pieces = 2
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+
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+ [components.stylecheck]
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+ factory = "stylecheck"
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+
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+ [components.tagger]
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+ factory = "tagger"
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+
118
+ [components.tagger.model]
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+ @architectures = "spacy.Tagger.v1"
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+ nO = null
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+
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+ [components.tagger.model.tok2vec]
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+ @architectures = "spacy.Tok2VecListener.v1"
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+ width = ${components.tok2vec.model.encode:width}
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+ upstream = "tok2vec"
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+
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+ [components.tok2vec]
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+ factory = "tok2vec"
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+
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+ [components.tok2vec.model]
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+ @architectures = "spacy.Tok2Vec.v2"
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+
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+ [components.tok2vec.model.embed]
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+ @architectures = "spacy.MultiHashEmbed.v2"
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+ width = ${components.tok2vec.model.encode:width}
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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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+
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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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+
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+ [corpora]
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+
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+ [corpora.dev]
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+ @readers = "spacy.Corpus.v1"
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+ limit = 0
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+ max_length = 0
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+ path = ${paths:dev}
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+ gold_preproc = false
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+ augmenter = null
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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 = 5000
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+ gold_preproc = false
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+ limit = 0
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+
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+ [corpora.train.augmenter]
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+ @augmenters = "spacy.orth_variants.v1"
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+ level = 0.2
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+ lower = 0.5
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+
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+ [corpora.train.augmenter.orth_variants]
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+ @readers = "srsly.read_json.v1"
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+ path = "assets/orth_variants.json"
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+
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+ [training]
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+ train_corpus = "corpora.train"
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+ dev_corpus = "corpora.dev"
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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 = 5000
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+ max_epochs = 0
182
+ max_steps = 0
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+ eval_frequency = 1000
184
+ frozen_components = []
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+ before_to_disk = null
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+ annotating_components = []
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+
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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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+ tolerance = 0.2
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+ get_length = null
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+
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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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+
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+ [training.logger]
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+ @loggers = "spacy.WandbLogger.v1"
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+ project_name = "spacy-v3.0.0a2"
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+ remove_config_values = []
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+
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+ [training.optimizer]
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+ @optimizers = "Adam.v1"
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+ beta1 = 0.9
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+ beta2 = 0.999
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+ L2_is_weight_decay = true
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+ L2 = 0.01
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+ grad_clip = 1.0
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+ use_averages = true
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+ eps = 0.00000001
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+ learn_rate = 0.001
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+
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+ [training.score_weights]
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+ tag_acc = 0.16
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+ dep_uas = 0.0
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+ dep_las = 0.16
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+ dep_las_per_type = null
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+ sents_p = null
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+ sents_r = null
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+ sents_f = 0.02
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+ lemma_acc = 0.33
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+ ents_f = 0.33
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+ ents_p = 0.0
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+ ents_r = 0.0
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+ ents_per_type = null
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+
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+ [pretraining]
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+
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+ [initialize]
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+ vocab_data = ${paths.vocab_data}
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+ vectors = ${paths.vectors}
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+ init_tok2vec = ${paths.init_tok2vec}
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+ before_init = null
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+ after_init = null
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+
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+ [initialize.components]
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+
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+ [initialize.components.ner]
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+
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+ [initialize.components.ner.labels]
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+ @readers = "spacy.read_labels.v1"
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+ path = "corpus/labels/ner.json"
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+ require = false
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+
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+ [initialize.components.parser]
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+
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+ [initialize.components.parser.labels]
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+ @readers = "spacy.read_labels.v1"
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+ path = "corpus/labels/parser.json"
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+ require = false
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+
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+ [initialize.components.tagger]
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+
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+ [initialize.components.tagger.labels]
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+ @readers = "spacy.read_labels.v1"
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+ path = "corpus/labels/tagger.json"
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+ require = false
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+
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+ [initialize.lookups]
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+ @misc = "spacy.LookupsDataLoader.v1"
265
+ lang = ${nlp.lang}
266
+ tables = ["lexeme_norm"]
267
+
268
+ [initialize.tokenizer]
entity_ruler/cfg ADDED
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+ {
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+ "overwrite":false,
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+ "phrase_matcher_attr":null,
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+ "ent_id_sep":"||"
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+ }
entity_ruler/patterns.jsonl ADDED
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+ {"label":"PASSIVE","pattern":[{"DEP":"auxpass"},{"DEP":"neg","TAG":"RB","OP":"*"},{"DEP":"HYPH","OP":"*"},{"DEP":"advmod","TAG":"RB","OP":"*"},{"TAG":"VBN","LEMMA":{"NOT_IN":["associate","involve","exhaust","base","lead","stun","overrate","fill","bear","complicate","reserve","complicate"]}}]}
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+ {"label":"PASSIVE","pattern":[{"DEP":{"IN":["attr","nsubjpass","appos"]}},{"TAG":"RB","DEP":"advmod","OP":"*"},{"DEP":"PUNCT","OP":"*"},{"TAG":"VBN","DEP":"acl","LEMMA":{"NOT_IN":["associate","involve","exhaust","base","lead","stun","overrate","fill","bear","complicate","reserve","complicate"]}}]}
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+ {"label":"PASSIVE","pattern":[{"DEP":"cc"},{"DEP":"advmod","TAG":"VBN","OP":"*","LEMMA":{"NOT_IN":["pre"]}},{"DEP":"conj","TAG":"VBN","LEMMA":{"NOT_IN":["associate","involve","exhaust","base","lead","stun","overrate","fill","bear","complicate","reserve","complicate"]}},{"DEP":"pobj","OP":"!"}]}
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+ {"label":"PASSIVE","pattern":[{"DEP":"advcl","TAG":"VBN"},{"DEP":"agent","TAG":"IN"},{"OP":"*"},{"DEP":"pobj","TAG":"NN"}]}
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+ {"label":"PASSIVE","pattern":[{"DEP":"nsubj"},{"DEP":"ROOT"},{"DEP":"attr","TAG":"VBN","LEMMA":{"NOT_IN":["associate","involve","exhaust","base","lead","stun","overrate","fill","bear","complicate","reserve","complicate"]}},{"DEP":"prep","TAG":"IN","OP":"*"}]}
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+ {"label":"PASSIVE","pattern":[{"LEMMA":{"IN":["associate","involve","exhaust","base","lead","stun","overrate","fill","bear","complicate","reserve","complicate"]}},{"LOWER":"by"}]}
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meta.json ADDED
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+ {
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+ "lang":"en",
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+ "name":"stylecheck",
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+ "version":"0.0.1",
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+ "description":"Check style on English text (currently passive text).",
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+ "author":"Explosion",
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+ "email":"[email protected]",
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+ "url":"https://explosion.ai",
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+ "license":"MIT",
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+ "spacy_version":">=3.1.1,<3.2.0",
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+ "spacy_git_version":"caba63b74",
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+ "vectors":{
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+ "width":300,
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+ "vectors":20000,
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+ "keys":684830,
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+ "name":"en_vectors"
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+ },
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+ "labels":{
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+ "tok2vec":[
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+
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+ ],
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+ "tagger":[
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+ "$",
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+ "''",
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+ ",",
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+ "-LRB-",
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+ "-RRB-",
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+ ".",
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+ ":",
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+ "ADD",
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+ "AFX",
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+ "CC",
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+ "CD",
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+ "DT",
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+ "EX",
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+ "FW",
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+ "HYPH",
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+ "IN",
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+ "JJ",
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+ "JJR",
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+ "JJS",
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+ "LS",
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+ "MD",
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+ "NFP",
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+ "NN",
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+ "NNP",
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+ "NNPS",
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+ "NNS",
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+ "PDT",
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+ "POS",
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+ "PRP",
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+ "PRP$",
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+ "RB",
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+ "RBR",
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+ "RBS",
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+ "RP",
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+ "SYM",
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+ "TO",
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+ "UH",
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+ "VB",
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+ "VBD",
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+ "VBG",
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+ "VBN",
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+ "VBP",
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+ "VBZ",
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+ "WDT",
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+ "WP",
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+ "WP$",
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+ "WRB",
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+ "XX",
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+ "``"
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+ ],
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+ "parser":[
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+ "ROOT",
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+ "acl",
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+ "acomp",
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+ "advcl",
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+ "advmod",
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+ "agent",
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+ "amod",
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+ "appos",
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+ "attr",
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+ "aux",
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+ "auxpass",
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+ "case",
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+ "cc",
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+ "ccomp",
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+ "compound",
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+ "conj",
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+ "csubj",
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+ "csubjpass",
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+ "dative",
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+ "dep",
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+ "det",
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+ "dobj",
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+ "expl",
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+ "intj",
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+ "mark",
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+ "meta",
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+ "neg",
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+ "nmod",
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+ "npadvmod",
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+ "nsubj",
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+ "nsubjpass",
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+ "nummod",
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+ "oprd",
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+ "parataxis",
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+ "pcomp",
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+ "pobj",
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+ "poss",
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+ "preconj",
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+ "predet",
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+ "prep",
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+ "prt",
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+ "punct",
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+ "quantmod",
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+ "relcl",
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+ "xcomp"
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+ ],
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+ "senter":[
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+ "I",
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+ "S"
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+ ],
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+ "attribute_ruler":[
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+
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+ ],
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+ "lemmatizer":[
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+ ],
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+ "ner":[
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+ "CARDINAL",
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+ "DATE",
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+ "EVENT",
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+ "FAC",
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+ "GPE",
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+ "LANGUAGE",
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+ "LAW",
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+ "LOC",
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+ "MONEY",
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+ "NORP",
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+ "ORDINAL",
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+ "ORG",
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+ "PERCENT",
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+ "PERSON",
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+ "PRODUCT",
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+ "QUANTITY",
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+ "TIME",
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+ "WORK_OF_ART"
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+ ],
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+ "entity_ruler":[
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+ "PASSIVE"
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+ ]
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+ },
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+ "pipeline":[
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+ "tok2vec",
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+ "tagger",
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+ "parser",
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+ "attribute_ruler",
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+ "lemmatizer",
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+ "ner",
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+ "entity_ruler",
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+ "stylecheck"
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+ ],
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+ "components":[
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+ "tok2vec",
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+ "tagger",
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+ "parser",
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+ "senter",
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+ "attribute_ruler",
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+ "lemmatizer",
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+ "ner",
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+ "stylecheck"
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+ ],
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+ "disabled":[
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+ ],
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+ "_sourced_vectors_hashes":{
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+
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+ },
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+ "author_email":"[email protected]",
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+ "performance":{
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+
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+ },
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+ "pipeline_tag":"token-classification",
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+ "requirements":[
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+
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+ ]
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+ }
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