spaCy/spacy/lang/en/__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
981 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 .syntax_iterators import SYNTAX_ITERATORS
from .punctuation import TOKENIZER_INFIXES
from .lemmatizer import EnglishLemmatizer
from ...language import Language
class EnglishDefaults(Language.Defaults):
tokenizer_exceptions = TOKENIZER_EXCEPTIONS
infixes = TOKENIZER_INFIXES
lex_attr_getters = LEX_ATTRS
syntax_iterators = SYNTAX_ITERATORS
stop_words = STOP_WORDS
class English(Language):
lang = "en"
Defaults = EnglishDefaults
@English.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 EnglishLemmatizer(nlp.vocab, model, name, mode=mode)
__all__ = ["English"]