spaCy/spacy/lang/ga/__init__.py

from typing import Optional

from thinc.api import Model

from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
from .stop_words import STOP_WORDS
from ...language import Language, BaseDefaults
from .lemmatizer import IrishLemmatizer


class IrishDefaults(BaseDefaults):
    tokenizer_exceptions = TOKENIZER_EXCEPTIONS
    stop_words = STOP_WORDS


class Irish(Language):
    lang = "ga"
    Defaults = IrishDefaults


@Irish.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 IrishLemmatizer(nlp.vocab, model, name, mode=mode, overwrite=overwrite)


__all__ = ["Irish"]