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 UkrainianLemmatizer
from ...language import Language
class UkrainianDefaults(Language.Defaults):
tokenizer_exceptions = TOKENIZER_EXCEPTIONS
lex_attr_getters = LEX_ATTRS
stop_words = STOP_WORDS
class Ukrainian(Language):
lang = "uk"
Defaults = UkrainianDefaults
@Ukrainian.factory(
"lemmatizer",
assigns=["token.lemma"],
default_config={"model": None, "mode": "pymorphy2"},
default_score_weights={"lemma_acc": 1.0},
)
def make_lemmatizer(
nlp: Language, model: Optional[Model], name: str, mode: str, overwrite: bool = False
):
return UkrainianLemmatizer(nlp.vocab, model, name, mode=mode, overwrite=overwrite)
__all__ = ["Ukrainian"]
