【作者单位】a School of Information Science and Technology, Tibet University, No. 10 Zangda, Tibet, China; b School of Computer Science, Fudan University, 825 Zhangheng Road, Shanghai, China
【年份】2017
【卷号】Vol.10565
【页码】472-480
【ISSN】0302-9743
【摘要】 As a minority language, Tibetan has received relatively little attention in the field of natural language processing , especially in current various neural network models. In this paper, we investigate three end-to-end neural models for Tibetan text ...
