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18 lines
1.3 KiB
Python
18 lines
1.3 KiB
Python
"""
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Example sentences to test spaCy and its language models.
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>>> from spacy.lang.kmr.examples import sentences
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>>> docs = nlp.pipe(sentences)
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"""
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sentences = [
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"Berê mirovan her tim li geşedana pêşerojê ye", # People's gaze is always on the development of the future
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"Kawa Nemir di 14 salan de Ulysses wergerand Kurmancî.", # Kawa Nemir translated Ulysses into Kurmanji in 14 years.
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"Mem Ararat hunermendekî Kurd yê bi nav û deng e.", # Mem Ararat is a famous Kurdish artist
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"Firat Cewerî 40 sal e pirtûkên Kurdî dinivîsîne.", # Firat Ceweri has been writing Kurdish books for 40 years
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"Rojnamegerê ciwan nûçeyeke balkêş li ser rewşa aborî nivîsand", # The young journalist wrote an interesting news article about the economic situation
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"Sektora çandiniyê beşeke giring a belavkirina gaza serayê li seranserê cîhanê pêk tîne", # The agricultural sector constitutes an important part of greenhouse gas emissions worldwide
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"Xwendekarên jêhatî di pêşbaziya matematîkê de serkeftî bûn", # Talented students succeeded in the mathematics competition
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"Ji ber ji tunebûnê bavê min xwişkeke min nedan xwendin ew ji min re bû derd û kulek.", # Because of poverty, my father didn't send my sister to school, which became a pain and sorrow for me
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]
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