spaCy/spacy/lang/it/__init__.py

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"]