mirror of
https://github.com/explosion/spaCy.git
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27 lines
1.3 KiB
Python
27 lines
1.3 KiB
Python
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# coding: utf8
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from __future__ import unicode_literals
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"""
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Example sentences to test spaCy and its language models.
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>>> from spacy.lang.yo.examples import sentences
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>>> docs = nlp.pipe(sentences)
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"""
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# 1. https://yo.wikipedia.org/wiki/Wikipedia:%C3%80y%E1%BB%8Dk%C3%A0_p%C3%A0t%C3%A0k%C3%AC
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# 2.https://yo.wikipedia.org/wiki/Oj%C3%BAew%C3%A9_%C3%80k%E1%BB%8D%CC%81k%E1%BB%8D%CC%81
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# 3. https://www.bbc.com/yoruba
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sentences = [
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"Ìjọba Tanzania fi Ajìjàgbara Ọmọ Orílẹ̀-èdèe Uganda sí àtìmọ́lé",
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"Olúṣẹ́gun Ọbásanjọ́, tí ó jẹ́ Ààrẹ ìjọba ológun àná (láti ọdún 1976 sí 1979), tí ó sì tún ṣe Ààrẹ ìjọba alágbádá tí ìbò gbé wọlé (ní ọdún 1999 sí 2007), kúndùn láti máa bu ẹnu àtẹ́ lu àwọn "
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"ètò ìjọba Ààrẹ orílẹ̀-èdè Nàìjíríà tí ó jẹ tẹ̀lé e.",
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"Akin Alabi rán ẹnu mọ́ agbárá Adárí Òsìsẹ̀, àwọn ọmọ Nàìjíríà dẹnu bò ó",
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"Ta ló leè dúró s'ẹ́gbẹ̀ẹ́ Okunnu láì rẹ́rìín?",
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"Dídarapọ̀ mọ́n ìpolongo",
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"Bi a se n so, omobinrin ni oruko ni ojo kejo bee naa ni omokunrin ni oruko ni ojo kesan.",
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"Oríṣìíríṣìí nǹkan ló le yọrí sí orúkọ tí a sọ ọmọ",
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"Gbogbo won ni won ni oriki ti won",
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]
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