mirror of https://github.com/explosion/spaCy.git
74 lines
2.4 KiB
Python
74 lines
2.4 KiB
Python
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# coding: utf8
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from __future__ import unicode_literals
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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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# uncomment if files are available
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# from .norm_exceptions import NORM_EXCEPTIONS
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from .tag_map import TAG_MAP
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# from .morph_rules import MORPH_RULES
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# uncomment if lookup-based lemmatizer is available
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from .lemmatizer import LOOKUP
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# from ...lemmatizerlookup import Lemmatizer
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from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
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from ..tokenizer_exceptions import BASE_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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def _return_tl(_):
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return 'tl'
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# Create a Language subclass
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# Documentation: https://spacy.io/docs/usage/adding-languages
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# This file should be placed in spacy/lang/xx (ISO code of language).
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# Before submitting a pull request, make sure the remove all comments from the
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# language data files, and run at least the basic tokenizer tests. Simply add the
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# language ID to the list of languages in spacy/tests/conftest.py to include it
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# in the basic tokenizer sanity tests. You can optionally add a fixture for the
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# language's tokenizer and add more specific tests. For more info, see the
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# tests documentation: https://github.com/explosion/spaCy/tree/master/spacy/tests
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class TagalogDefaults(Language.Defaults):
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lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
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lex_attr_getters[LANG] = _return_tl # ISO code
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# add more norm exception dictionaries here
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lex_attr_getters[NORM] = add_lookups(Language.Defaults.lex_attr_getters[NORM], BASE_NORMS)
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# overwrite functions for lexical attributes
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lex_attr_getters.update(LEX_ATTRS)
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# add custom tokenizer exceptions to base exceptions
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tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
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# add stop words
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stop_words = STOP_WORDS
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# if available: add tag map
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# tag_map = dict(TAG_MAP)
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# if available: add morph rules
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# morph_rules = dict(MORPH_RULES)
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# if available: add lookup lemmatizer
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# @classmethod
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# def create_lemmatizer(cls, nlp=None):
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# return Lemmatizer(LOOKUP)
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class Tagalog(Language):
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lang = 'tl' # ISO code
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Defaults = TagalogDefaults # 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__ = ['Tagalog']
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