mirror of https://github.com/explosion/spaCy.git
37 lines
1.3 KiB
Python
37 lines
1.3 KiB
Python
# coding: utf8
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from __future__ import unicode_literals
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from pathlib import Path
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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 ..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, load_language_data
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# Lemma data source:
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# http://st2.zargan.com/duyuru/Zargan_Linguistic_Resources_for_Turkish.html - Bilgin, O. (2016). Biçimbilimsel Bakımdan Karmaşık Türkçe Kelimelerin İşlenmesinde Frekans Etkileri (yayınlanmamış yüksek lisans tezi). Boğaziçi Üniversitesi, İstanbul. Erişim: http://st2.zargan.com/public/resources/turkish/frequency_effects_in_turkish.pdf
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class TurkishDefaults(Language.Defaults):
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lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
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lex_attr_getters[LANG] = lambda text: "tr"
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lex_attr_getters[NORM] = add_lookups(
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Language.Defaults.lex_attr_getters[NORM], BASE_NORMS
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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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lemma_path = Path(__file__).parent / "lemmas.json"
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lemma_lookup = load_language_data(lemma_path)
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class Turkish(Language):
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lang = "tr"
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Defaults = TurkishDefaults
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__all__ = ["Turkish"]
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