mirror of https://github.com/explosion/spaCy.git
55 lines
1.2 KiB
Python
55 lines
1.2 KiB
Python
from typing import Set, Dict, Callable, Any
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from thinc.api import Config
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from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
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from .punctuation import TOKENIZER_INFIXES
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from .lex_attrs import LEX_ATTRS
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from .stop_words import STOP_WORDS
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from ...language import Language
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from ...util import registry
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DEFAULT_CONFIG = """
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[nlp]
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lang = "lb"
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stop_words = {"@language_data": "spacy.lb.stop_words"}
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lex_attr_getters = {"@language_data": "spacy.lb.lex_attr_getters"}
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[nlp.lemmatizer]
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@lemmatizers = "spacy.Lemmatizer.v1"
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[nlp.lemmatizer.data]
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@language_data = "spacy-lookups-data"
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lang = ${nlp:lang}
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tables = ["lemma_lookup"]
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[nlp.vocab_data]
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@language_data = "spacy-lookups-data"
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lang = ${nlp:lang}
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tables = ["lexeme_norm"]
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"""
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@registry.language_data("spacy.lb.stop_words")
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def stop_words() -> Set[str]:
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return STOP_WORDS
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@registry.language_data("spacy.lb.lex_attr_getters")
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def lex_attr_getters() -> Dict[int, Callable[[str], Any]]:
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return LEX_ATTRS
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class LuxembourgishDefaults(Language.Defaults):
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tokenizer_exceptions = TOKENIZER_EXCEPTIONS
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infixes = TOKENIZER_INFIXES
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class Luxembourgish(Language):
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lang = "lb"
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Defaults = LuxembourgishDefaults
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default_config = Config().from_str(DEFAULT_CONFIG)
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__all__ = ["Luxembourgish"]
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