mirror of https://github.com/explosion/spaCy.git
54 lines
1.8 KiB
Python
54 lines
1.8 KiB
Python
# -*- coding: utf-8 -*-
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from __future__ import unicode_literals
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from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
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from .tag_map_general import TAG_MAP
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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 .lemmatizer import LEMMA_RULES, LEMMA_INDEX, LEMMA_EXC
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from .lemmatizer.lemmatizer import GreekLemmatizer
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from .syntax_iterators import SYNTAX_ITERATORS
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from .punctuation import TOKENIZER_PREFIXES, TOKENIZER_SUFFIXES, TOKENIZER_INFIXES
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from ..tokenizer_exceptions import BASE_EXCEPTIONS
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from .norm_exceptions import NORM_EXCEPTIONS
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from ..norm_exceptions import BASE_NORMS
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from ...language import Language
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from ...attrs import LANG, NORM
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from ...util import update_exc, add_lookups
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class GreekDefaults(Language.Defaults):
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lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
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lex_attr_getters.update(LEX_ATTRS)
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lex_attr_getters[LANG] = lambda text: "el" # ISO code
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lex_attr_getters[NORM] = add_lookups(
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Language.Defaults.lex_attr_getters[NORM], BASE_NORMS, NORM_EXCEPTIONS
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)
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tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
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stop_words = STOP_WORDS
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tag_map = TAG_MAP
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prefixes = TOKENIZER_PREFIXES
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suffixes = TOKENIZER_SUFFIXES
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infixes = TOKENIZER_INFIXES
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syntax_iterators = SYNTAX_ITERATORS
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@classmethod
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def create_lemmatizer(cls, nlp=None):
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lemma_rules = LEMMA_RULES
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lemma_index = LEMMA_INDEX
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lemma_exc = LEMMA_EXC
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return GreekLemmatizer(
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index=lemma_index, exceptions=lemma_exc, rules=lemma_rules
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)
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class Greek(Language):
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lang = "el" # ISO code
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Defaults = GreekDefaults # set Defaults to custom language defaults
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# set default export – this allows the language class to be lazy-loaded
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__all__ = ["Greek"]
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