spaCy/spacy/lang/fr/__init__.py

55 lines
1.6 KiB
Python

# coding: utf8
from __future__ import unicode_literals
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS, TOKEN_MATCH
from .punctuation import TOKENIZER_SUFFIXES, TOKENIZER_INFIXES
from .tag_map import TAG_MAP
from .stop_words import STOP_WORDS
from .lex_attrs import LEX_ATTRS
from .lemmatizer import LEMMA_RULES, LEMMA_INDEX, LEMMA_EXC, LOOKUP
from .lemmatizer.lemmatizer import FrenchLemmatizer
from .syntax_iterators import SYNTAX_ITERATORS
from ..tokenizer_exceptions import BASE_EXCEPTIONS
from ..norm_exceptions import BASE_NORMS
from ...language import Language
from ...attrs import LANG, NORM
from ...util import update_exc, add_lookups
class FrenchDefaults(Language.Defaults):
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
lex_attr_getters.update(LEX_ATTRS)
lex_attr_getters[LANG] = lambda text: "fr"
lex_attr_getters[NORM] = add_lookups(
Language.Defaults.lex_attr_getters[NORM], BASE_NORMS
)
tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
tag_map = TAG_MAP
stop_words = STOP_WORDS
infixes = TOKENIZER_INFIXES
suffixes = TOKENIZER_SUFFIXES
token_match = TOKEN_MATCH
syntax_iterators = SYNTAX_ITERATORS
@classmethod
def create_lemmatizer(cls, nlp=None):
lemma_rules = LEMMA_RULES
lemma_index = LEMMA_INDEX
lemma_exc = LEMMA_EXC
lemma_lookup = LOOKUP
return FrenchLemmatizer(
index=lemma_index,
exceptions=lemma_exc,
rules=lemma_rules,
lookup=lemma_lookup,
)
class French(Language):
lang = "fr"
Defaults = FrenchDefaults
__all__ = ["French"]