mirror of https://github.com/explosion/spaCy.git
53 lines
1.4 KiB
Python
53 lines
1.4 KiB
Python
from typing import Callable
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from thinc.api import Config
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from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS, TOKEN_MATCH
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from .punctuation import TOKENIZER_PREFIXES, TOKENIZER_INFIXES
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from .punctuation import TOKENIZER_SUFFIXES
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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 SYNTAX_ITERATORS
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from .lemmatizer import FrenchLemmatizer, is_base_form
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from ...lookups import load_lookups
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from ...language import Language
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from ...util import registry
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DEFAULT_CONFIG = """
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[nlp]
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[nlp.lemmatizer]
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@lemmatizers = "spacy.fr.FrenchLemmatizer"
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"""
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@registry.lemmatizers("spacy.fr.FrenchLemmatizer")
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def create_lemmatizer() -> Callable[[Language], FrenchLemmatizer]:
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tables = ["lemma_rules", "lemma_index", "lemma_exc", "lemma_lookup"]
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def lemmatizer_factory(nlp: Language) -> FrenchLemmatizer:
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lookups = load_lookups(lang=nlp.lang, tables=tables)
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return FrenchLemmatizer(lookups=lookups, is_base_form=is_base_form)
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return lemmatizer_factory
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class FrenchDefaults(Language.Defaults):
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config = Config().from_str(DEFAULT_CONFIG)
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tokenizer_exceptions = TOKENIZER_EXCEPTIONS
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prefixes = TOKENIZER_PREFIXES
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infixes = TOKENIZER_INFIXES
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suffixes = TOKENIZER_SUFFIXES
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token_match = TOKEN_MATCH
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lex_attr_getters = LEX_ATTRS
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syntax_iterators = SYNTAX_ITERATORS
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stop_words = STOP_WORDS
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class French(Language):
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lang = "fr"
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Defaults = FrenchDefaults
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__all__ = ["French"]
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