A Compact and Language-Sensitive Multilingual Translation Method | |
Wang,Yining1,3; Zhou,Long1,3; Zhang,Jiajun1,3; Zhai,Feifei4; Xu,Jingfang4; Zong,Chengqing1,2,3 | |
2019-07 | |
会议日期 | July 28 - August 2, 2019 |
会议地点 | Florence, Italy |
英文摘要 | Multilingual neural machine translation (Multi-NMT) with one encoder-decoder model has made remarkable progress due to its simple deployment. However, this multilingual translation paradigm does not make full use of language commonality and parameter sharing between encoder and decoder. Furthermore, this kind of paradigm cannot outperform the individual models trained on bilingual corpus in most cases. In this paper, we propose a compact and language-sensitive |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/39233] |
专题 | 模式识别国家重点实验室_自然语言处理 |
通讯作者 | Zhang,Jiajun |
作者单位 | 1.National Laboratory of Pattern Recognition, CASIA, Beijing, China 2.CAS Center for Excellence in Brain Science and Intelligence Technology, Beijing, China 3.University of Chinese Academy of Sciences, Beijing, China 4.Sogou Inc., Beijing, China |
推荐引用方式 GB/T 7714 | Wang,Yining,Zhou,Long,Zhang,Jiajun,et al. A Compact and Language-Sensitive Multilingual Translation Method[C]. 见:. Florence, Italy. July 28 - August 2, 2019. |
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