Knowledge Commons of Institute of Automation,CAS
A Compact and Language-Sensitive Multilingual Translation Method | |
Wang,Yining1,2; Zhou,Long1,2; Zhang,Jiajun1,2; Zhai,Feifei4; Xu,Jingfang4; Zong,Chengqing1,2,3 | |
2019-07 | |
会议名称 | Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics |
会议日期 | July 28 - August 2, 2019 |
会议地点 | Florence, Italy |
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 |
收录类别 | EI |
七大方向——子方向分类 | 自然语言处理 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/39233 |
专题 | 多模态人工智能系统全国重点实验室_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.University of Chinese Academy of Sciences, Beijing, China 3.CAS Center for Excellence in Brain Science and Intelligence Technology, Beijing, China 4.Sogou Inc., Beijing, China |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
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],2019. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
A Compact and Langua(1048KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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