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75 lines
2.0 KiB
Python
75 lines
2.0 KiB
Python
from typing import Set, Dict, Callable, Any, Pattern
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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 .lemmatizer import FrenchLemmatizer, is_base_form
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from .syntax_iterators import noun_chunks
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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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lang = "fr"
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stop_words = {"@language_data": "spacy.fr.stop_words"}
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lex_attr_getters = {"@language_data": "spacy.fr.lex_attr_getters"}
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get_noun_chunks = {"@language_data": "spacy.fr.get_noun_chunks"}
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[nlp.tokenizer]
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@tokenizers = "spacy.Tokenizer.v1"
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token_match = {"@language_data": "spacy.fr.token_match"}
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[nlp.lemmatizer]
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@lemmatizers = "spacy.FrenchLemmatizer.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_rules", "lemma_index", "lemma_exc", "lemma_lookup"]
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"""
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@registry.lemmatizers("spacy.FrenchLemmatizer.v1")
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def create_french_lemmatizer(data: Dict[str, dict] = {}) -> FrenchLemmatizer:
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return FrenchLemmatizer(data=data, is_base_form=is_base_form)
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@registry.language_data("spacy.fr.token_match")
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def token_match() -> Pattern:
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return TOKEN_MATCH
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@registry.language_data("spacy.fr.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.fr.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.language_data("spacy.fr.get_noun_chunks")
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def get_noun_chunks() -> Callable:
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return noun_chunks
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class FrenchDefaults(Language.Defaults):
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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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class French(Language):
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lang = "fr"
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Defaults = FrenchDefaults
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default_config = Config().from_str(DEFAULT_CONFIG)
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__all__ = ["French"]
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