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https://github.com/explosion/spaCy.git
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e2b70df012
* Use isort with Black profile * isort all the things * Fix import cycles as a result of import sorting * Add DOCBIN_ALL_ATTRS type definition * Add isort to requirements * Remove isort from build dependencies check * Typo
56 lines
1.3 KiB
Python
56 lines
1.3 KiB
Python
from typing import Callable, Optional
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from thinc.api import Model
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from ...language import BaseDefaults, Language
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from ..tokenizer_exceptions import BASE_EXCEPTIONS
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from .lemmatizer import PolishLemmatizer
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from .lex_attrs import LEX_ATTRS
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from .punctuation import TOKENIZER_INFIXES, TOKENIZER_PREFIXES, TOKENIZER_SUFFIXES
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from .stop_words import STOP_WORDS
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TOKENIZER_EXCEPTIONS = {
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exc: val for exc, val in BASE_EXCEPTIONS.items() if not exc.endswith(".")
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}
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class PolishDefaults(BaseDefaults):
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tokenizer_exceptions = TOKENIZER_EXCEPTIONS
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prefixes = TOKENIZER_PREFIXES
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infixes = TOKENIZER_INFIXES
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suffixes = TOKENIZER_SUFFIXES
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lex_attr_getters = LEX_ATTRS
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stop_words = STOP_WORDS
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class Polish(Language):
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lang = "pl"
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Defaults = PolishDefaults
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@Polish.factory(
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"lemmatizer",
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assigns=["token.lemma"],
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default_config={
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"model": None,
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"mode": "pos_lookup",
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"overwrite": False,
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"scorer": {"@scorers": "spacy.lemmatizer_scorer.v1"},
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},
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default_score_weights={"lemma_acc": 1.0},
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)
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def make_lemmatizer(
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nlp: Language,
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model: Optional[Model],
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name: str,
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mode: str,
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overwrite: bool,
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scorer: Optional[Callable],
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):
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return PolishLemmatizer(
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nlp.vocab, model, name, mode=mode, overwrite=overwrite, scorer=scorer
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)
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__all__ = ["Polish"]
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