mirror of
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69 lines
1.8 KiB
Python
69 lines
1.8 KiB
Python
from typing import Set, Dict, Callable, Any
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from thinc.api import Config
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from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
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from .stop_words import STOP_WORDS
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from .lex_attrs import LEX_ATTRS
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from .syntax_iterators import noun_chunks
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from .lemmatizer import is_base_form
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from .punctuation import TOKENIZER_INFIXES
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from ...language import Language
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from ...lemmatizer import Lemmatizer
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from ...util import registry
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DEFAULT_CONFIG = """
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[nlp]
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lang = "en"
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stop_words = {"@language_data": "spacy.en.stop_words"}
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lex_attr_getters = {"@language_data": "spacy.en.lex_attr_getters"}
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get_noun_chunks = {"@language_data": "spacy.en.get_noun_chunks"}
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[nlp.lemmatizer]
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@lemmatizers = "spacy.EnglishLemmatizer.v1"
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[nlp.lemmatizer.data]
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@language_data = "spacy-lookups-data"
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lang = ${nlp:lang}
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tables = ["lemma_lookup", "lemma_rules", "lemma_exc", "lemma_index"]
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[nlp.vocab_data]
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@language_data = "spacy-lookups-data"
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lang = ${nlp:lang}
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tables = ["lexeme_norm", "lexeme_cluster", "lexeme_prob", "lexeme_settings", "orth_variants"]
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"""
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@registry.language_data("spacy.en.stop_words")
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def stop_words() -> Set[str]:
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return STOP_WORDS
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@registry.language_data("spacy.en.lex_attr_getters")
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def lex_attr_getters() -> Dict[int, Callable[[str], Any]]:
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return LEX_ATTRS
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@registry.lemmatizers("spacy.EnglishLemmatizer.v1")
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def create_lemmatizer(data: Dict[str, dict] = {}) -> "Lemmatizer":
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return Lemmatizer(data=data, is_base_form=is_base_form)
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@registry.language_data("spacy.en.get_noun_chunks")
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def get_noun_chunks() -> Callable:
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return noun_chunks
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class EnglishDefaults(Language.Defaults):
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tokenizer_exceptions = TOKENIZER_EXCEPTIONS
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infixes = TOKENIZER_INFIXES
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class English(Language):
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lang = "en"
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Defaults = EnglishDefaults
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default_config = Config().from_str(DEFAULT_CONFIG)
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__all__ = ["English"]
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