mirror of
https://github.com/explosion/spaCy.git
synced 2024-09-21 11:29:13 +03:00
36 lines
891 B
Python
36 lines
891 B
Python
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"]
|