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53 lines
1.3 KiB
Python
53 lines
1.3 KiB
Python
from typing import Set, 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 .punctuation import TOKENIZER_PREFIXES, TOKENIZER_INFIXES
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from .punctuation import TOKENIZER_SUFFIXES
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from .stop_words import STOP_WORDS
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from .syntax_iterators import noun_chunks
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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 = "nb"
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stop_words = {"@language_data": "spacy.nb.stop_words"}
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get_noun_chunks = {"@language_data": "spacy.nb.get_noun_chunks"}
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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", "lemma_rules", "lemma_exc"]
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"""
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@registry.language_data("spacy.nb.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.nb.get_noun_chunks")
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def get_noun_chunks() -> Callable:
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return noun_chunks
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class NorwegianDefaults(Language.Defaults):
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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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class Norwegian(Language):
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lang = "nb"
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Defaults = NorwegianDefaults
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default_config = Config().from_str(DEFAULT_CONFIG)
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__all__ = ["Norwegian"]
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