Improved Neural Machine Translation with Chinese Phonologic Features

摘要：

　　Chinese phonologic features play an important role not only in the sentence pronunciation but also in the construction of a native Chinese sentence.To improve the machine translation performance,in this paper we propose a novel phonology-aware neural machine translation(PA-NMT)model where Chinese phonologic features are leveraged for translation tasks with Chinese as the target.A separate recurrent neural network(RNN)is constructed in NMT framework to exploit Chinese phonologic features to help facilitate the generation of more native Chinese expressions.We conduct experiments on two translation tasks: English-to-Chinese and Japanese-to-Chinese tasks.Experimental results show that the proposed method significantly outperforms state-of-the-art baselines on these two tasks.

关键词： Neural Machine Translation Chinese phonology

作者: Jian Yang Shuangzhi Wu Dongdong Zhang Zhoujun Li Ming Zhou

作者单位: Beihang University,Beijing,China Harbin Institute of Technology,Harbin,China Microsoft Researcher Asian,Beijing,China

会议类型: 国际会议

会议名称: 2018自然语言处理与中文计算国际会议(NLPCC2018)

会议地点: 呼和浩特

会议语种:英文

页码: 303-315

在线出版日期: 2018-08-26（万方平台首次上网日期，不代表论文的发表时间）