@inproceedings{9a215f9048ec49f4a58c0d58c37c2009,
title = "Improved Neural Machine Translation with Chinese Phonologic Features",
abstract = "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.",
keywords = "Chinese phonology, Neural Machine Translation",
author = "Jian Yang and Shuangzhi Wu and Dongdong Zhang and Zhoujun Li and Ming Zhou",
note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; 7th CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2018 ; Conference date: 26-08-2018 Through 30-08-2018",
year = "2018",
doi = "10.1007/978-3-319-99495-6\_26",
language = "英语",
isbn = "9783319994949",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "303--315",
editor = "Dongyan Zhao and Sujian Li and Min Zhang and Vincent Ng and Hongying Zan",
booktitle = "Natural Language Processing and Chinese Computing - 7th CCF International Conference, NLPCC 2018, Proceedings",
address = "德国",
}