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50 lines
1.3 KiB
Python
50 lines
1.3 KiB
Python
from typing import Callable
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from thinc.api import Config
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from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
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from .stop_words import STOP_WORDS
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from .lex_attrs import LEX_ATTRS
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from .syntax_iterators import SYNTAX_ITERATORS
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from .lemmatizer import is_base_form
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from .punctuation import TOKENIZER_INFIXES
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from ...language import Language
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from ...lemmatizer import Lemmatizer
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from ...lookups import load_lookups
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from ...util import registry
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DEFAULT_CONFIG = """
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[nlp]
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[nlp.lemmatizer]
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@lemmatizers = "spacy.en.EnglishLemmatizer"
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"""
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@registry.lemmatizers("spacy.en.EnglishLemmatizer")
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def create_lemmatizer() -> Callable[[Language], Lemmatizer]:
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tables = ["lemma_lookup", "lemma_rules", "lemma_exc", "lemma_index"]
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def lemmatizer_factory(nlp: Language) -> Lemmatizer:
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lookups = load_lookups(lang=nlp.lang, tables=tables)
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return Lemmatizer(lookups=lookups, is_base_form=is_base_form)
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return lemmatizer_factory
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class EnglishDefaults(Language.Defaults):
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config = Config().from_str(DEFAULT_CONFIG)
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tokenizer_exceptions = TOKENIZER_EXCEPTIONS
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infixes = TOKENIZER_INFIXES
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lex_attr_getters = LEX_ATTRS
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syntax_iterators = SYNTAX_ITERATORS
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stop_words = STOP_WORDS
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class English(Language):
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lang = "en"
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Defaults = EnglishDefaults
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__all__ = ["English"]
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