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@@ -16,7 +16,15 @@ Multilingual Pre-trained Language Model, such as mBERT, XLM-R, provide multiling
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  We have seen rapid progress on building multilingual PLMs in recent year.
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  However, there is a lack of contributions on building PLMs on Chines minority languages, which hinders researchers from building powerful NLP systems.
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- To address the absence of Chinese minority PLMs, Joint Laboratory of HIT and iFLYTEK Research (HFL) proposes CINO (Chinese-miNOrity pre-trained language model), which is built on XLM-R with additional pre-training using Chinese minority corpus, such as Tibetan, Mongolian (Uighur form), Uyghur, Kazakh (Arabic form), Korean, Zhuang, Cantonese, etc.
 
 
 
 
 
 
 
 
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  Please read our GitHub repository for more details (Chinese): https://github.com/ymcui/Chinese-Minority-PLM
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  We have seen rapid progress on building multilingual PLMs in recent year.
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  However, there is a lack of contributions on building PLMs on Chines minority languages, which hinders researchers from building powerful NLP systems.
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+ To address the absence of Chinese minority PLMs, Joint Laboratory of HIT and iFLYTEK Research (HFL) proposes CINO (Chinese-miNOrity pre-trained language model), which is built on XLM-R with additional pre-training using Chinese minority corpus, such as
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+ - Chinese,中文(zh)
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+ - Tibetan,藏语(bo)
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+ - Mongolian (Uighur form),蒙语(mn)
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+ - Uyghur,维吾尔语(ug)
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+ - Kazakh (Arabic form),哈萨克语(kk)
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+ - Korean,朝鲜语(ko)
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+ - Zhuang,壮语
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+ - Cantonese,粤语(yue)
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  Please read our GitHub repository for more details (Chinese): https://github.com/ymcui/Chinese-Minority-PLM
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