mirror of https://github.com/explosion/spaCy.git
51 lines
1.5 KiB
Python
51 lines
1.5 KiB
Python
from typing import Optional
|
|
from thinc.api import Model
|
|
from .lemmatizer import MacedonianLemmatizer
|
|
from .stop_words import STOP_WORDS
|
|
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
|
|
from .lex_attrs import LEX_ATTRS
|
|
from ..tokenizer_exceptions import BASE_EXCEPTIONS
|
|
|
|
from ...language import Language
|
|
from ...attrs import LANG
|
|
from ...util import update_exc
|
|
from ...lookups import Lookups
|
|
|
|
|
|
class MacedonianDefaults(Language.Defaults):
|
|
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
|
|
lex_attr_getters[LANG] = lambda text: "mk"
|
|
|
|
# Optional: replace flags with custom functions, e.g. like_num()
|
|
lex_attr_getters.update(LEX_ATTRS)
|
|
|
|
# Merge base exceptions and custom tokenizer exceptions
|
|
tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
|
|
stop_words = STOP_WORDS
|
|
|
|
@classmethod
|
|
def create_lemmatizer(cls, nlp=None, lookups=None):
|
|
if lookups is None:
|
|
lookups = Lookups()
|
|
return MacedonianLemmatizer(lookups)
|
|
|
|
|
|
class Macedonian(Language):
|
|
lang = "mk"
|
|
Defaults = MacedonianDefaults
|
|
|
|
|
|
@Macedonian.factory(
|
|
"lemmatizer",
|
|
assigns=["token.lemma"],
|
|
default_config={"model": None, "mode": "rule", "overwrite": False},
|
|
default_score_weights={"lemma_acc": 1.0},
|
|
)
|
|
def make_lemmatizer(
|
|
nlp: Language, model: Optional[Model], name: str, mode: str, overwrite: bool
|
|
):
|
|
return MacedonianLemmatizer(nlp.vocab, model, name, mode=mode, overwrite=overwrite)
|
|
|
|
|
|
__all__ = ["Macedonian"]
|