spaCy/spacy/lang/fa/__init__.py
Ines Montani f0b30aedad
Make lemmatizers use initialize logic (#6182)
* Make lemmatizer use initialize logic and tidy up

* Fix typo

* Raise for uninitialized tables
2020-10-02 15:42:36 +02:00

37 lines
1.0 KiB
Python

from typing import Optional
from thinc.api import Model
from .stop_words import STOP_WORDS
from .lex_attrs import LEX_ATTRS
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
from .punctuation import TOKENIZER_SUFFIXES
from .syntax_iterators import SYNTAX_ITERATORS
from ...language import Language
from ...pipeline import Lemmatizer
class PersianDefaults(Language.Defaults):
tokenizer_exceptions = TOKENIZER_EXCEPTIONS
suffixes = TOKENIZER_SUFFIXES
lex_attr_getters = LEX_ATTRS
syntax_iterators = SYNTAX_ITERATORS
stop_words = STOP_WORDS
writing_system = {"direction": "rtl", "has_case": False, "has_letters": True}
class Persian(Language):
lang = "fa"
Defaults = PersianDefaults
@Persian.factory(
"lemmatizer",
assigns=["token.lemma"],
default_config={"model": None, "mode": "rule"},
default_score_weights={"lemma_acc": 1.0},
)
def make_lemmatizer(nlp: Language, model: Optional[Model], name: str, mode: str):
return Lemmatizer(nlp.vocab, model, name, mode=mode)
__all__ = ["Persian"]