mirror of
https://github.com/explosion/spaCy.git
synced 2024-12-27 18:36:36 +03:00
39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
from typing import Optional
|
|
from thinc.api import Model
|
|
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
|
|
from .stop_words import STOP_WORDS
|
|
from .lex_attrs import LEX_ATTRS
|
|
from .lemmatizer import SpanishLemmatizer
|
|
from .syntax_iterators import SYNTAX_ITERATORS
|
|
from .punctuation import TOKENIZER_INFIXES, TOKENIZER_SUFFIXES
|
|
from ...language import Language
|
|
|
|
|
|
class SpanishDefaults(Language.Defaults):
|
|
tokenizer_exceptions = TOKENIZER_EXCEPTIONS
|
|
infixes = TOKENIZER_INFIXES
|
|
suffixes = TOKENIZER_SUFFIXES
|
|
lex_attr_getters = LEX_ATTRS
|
|
syntax_iterators = SYNTAX_ITERATORS
|
|
stop_words = STOP_WORDS
|
|
|
|
|
|
class Spanish(Language):
|
|
lang = "es"
|
|
Defaults = SpanishDefaults
|
|
|
|
|
|
@Spanish.factory(
|
|
"lemmatizer",
|
|
assigns=["token.lemma"],
|
|
default_config={"model": None, "mode": "rule", "overwrite": False},
|
|
default_score_weights={"lemma_acc": 1.0},
|
|
)
|
|
def make_lemmatizer(
|
|
nlp: Language, model: Optional[Model], name: str, mode: str, overwrite: bool
|
|
):
|
|
return SpanishLemmatizer(nlp.vocab, model, name, mode=mode, overwrite=overwrite)
|
|
|
|
|
|
__all__ = ["Spanish"]
|