from typing import Optional
from thinc.api import Model
from .stop_words import STOP_WORDS
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
from .lex_attrs import LEX_ATTRS
from .lemmatizer import RussianLemmatizer
from ...language import Language
class RussianDefaults(Language.Defaults):
tokenizer_exceptions = TOKENIZER_EXCEPTIONS
lex_attr_getters = LEX_ATTRS
stop_words = STOP_WORDS
class Russian(Language):
lang = "ru"
Defaults = RussianDefaults
@Russian.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 RussianLemmatizer(nlp.vocab, model, name, mode=mode, overwrite=overwrite)
__all__ = ["Russian"]
