mirror of https://github.com/explosion/spaCy.git
36 lines
952 B
Python
36 lines
952 B
Python
from typing import Optional
|
|
from thinc.api import Model
|
|
|
|
from .stop_words import STOP_WORDS
|
|
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
|
|
from .punctuation import TOKENIZER_PREFIXES, TOKENIZER_INFIXES
|
|
from ...language import Language
|
|
from .lemmatizer import ItalianLemmatizer
|
|
|
|
|
|
class ItalianDefaults(Language.Defaults):
|
|
tokenizer_exceptions = TOKENIZER_EXCEPTIONS
|
|
stop_words = STOP_WORDS
|
|
prefixes = TOKENIZER_PREFIXES
|
|
infixes = TOKENIZER_INFIXES
|
|
|
|
|
|
class Italian(Language):
|
|
lang = "it"
|
|
Defaults = ItalianDefaults
|
|
|
|
|
|
@Italian.factory(
|
|
"lemmatizer",
|
|
assigns=["token.lemma"],
|
|
default_config={"model": None, "mode": "pos_lookup", "overwrite": False},
|
|
default_score_weights={"lemma_acc": 1.0},
|
|
)
|
|
def make_lemmatizer(
|
|
nlp: Language, model: Optional[Model], name: str, mode: str, overwrite: bool
|
|
):
|
|
return ItalianLemmatizer(nlp.vocab, model, name, mode=mode, overwrite=overwrite)
|
|
|
|
|
|
__all__ = ["Italian"]
|