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"]