spaCy/spacy/lang/fr/__init__.py

63 lines
1.8 KiB
Python

from typing import Set, Dict, Callable, Any
from thinc.api import Config
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS, TOKEN_MATCH
from .punctuation import TOKENIZER_PREFIXES, TOKENIZER_INFIXES
from .punctuation import TOKENIZER_SUFFIXES
from .stop_words import STOP_WORDS
from .lex_attrs import LEX_ATTRS
from .lemmatizer import FrenchLemmatizer, is_base_form
from .syntax_iterators import SYNTAX_ITERATORS
from ..tokenizer_exceptions import BASE_EXCEPTIONS
from ...language import Language
from ...util import update_exc, registry
DEFAULT_CONFIG = """
[nlp]
lang = "fr"
stop_words = {"@language_data": "spacy.fr.stop_words"}
lex_attr_getters = {"@language_data": "spacy.fr.lex_attr_getters"}
[nlp.lemmatizer]
@lemmatizers = "spacy.FrenchLemmatizer.v1"
[nlp.lemmatizer.data]
@language_data = "spacy-lookups-data"
lang = ${nlp:lang}
tables = ["lemma_rules", "lemma_index", "lemma_exc", "lemma_lookup"]
"""
@registry.lemmatizers("spacy.FrenchLemmatizer.v1")
def create_french_lemmatizer(data: Dict[str, dict] = {}) -> FrenchLemmatizer:
return FrenchLemmatizer(data=data, is_base_form=is_base_form)
@registry.language_data("spacy.fr.stop_words")
def stop_words() -> Set[str]:
return STOP_WORDS
@registry.language_data("spacy.fr.lex_attr_getters")
def lex_attr_getters() -> Dict[int, Callable[[str], Any]]:
return LEX_ATTRS
class FrenchDefaults(Language.Defaults):
tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
prefixes = TOKENIZER_PREFIXES
infixes = TOKENIZER_INFIXES
suffixes = TOKENIZER_SUFFIXES
token_match = TOKEN_MATCH
syntax_iterators = SYNTAX_ITERATORS
class French(Language):
lang = "fr"
Defaults = FrenchDefaults
default_config = Config().from_str(DEFAULT_CONFIG)
__all__ = ["French"]