@inproceedings{wang-etal-2017-xmu-neural,
title = "{XMU} Neural Machine Translation Systems for {WAT} 2017",
author = "Wang, Boli and
Tan, Zhixing and
Hu, Jinming and
Chen, Yidong and
Shi, Xiaodong",
editor = "Nakazawa, Toshiaki and
Goto, Isao",
booktitle = "Proceedings of the 4th Workshop on {A}sian Translation ({WAT}2017)",
month = nov,
year = "2017",
address = "Taipei, Taiwan",
publisher = "Asian Federation of Natural Language Processing",
url = "https://aclanthology.org/W17-5707/",
pages = "95--98",
abstract = "This paper describes the Neural Machine Translation systems of Xiamen University for the shared translation tasks of WAT 2017. Our systems are based on the Encoder-Decoder framework with attention. We participated in three subtasks. We experimented subword segmentation, synthetic training data and model ensembling. Experiments show that all these methods can give substantial improvements."
}
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<abstract>This paper describes the Neural Machine Translation systems of Xiamen University for the shared translation tasks of WAT 2017. Our systems are based on the Encoder-Decoder framework with attention. We participated in three subtasks. We experimented subword segmentation, synthetic training data and model ensembling. Experiments show that all these methods can give substantial improvements.</abstract>
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%0 Conference Proceedings
%T XMU Neural Machine Translation Systems for WAT 2017
%A Wang, Boli
%A Tan, Zhixing
%A Hu, Jinming
%A Chen, Yidong
%A Shi, Xiaodong
%Y Nakazawa, Toshiaki
%Y Goto, Isao
%S Proceedings of the 4th Workshop on Asian Translation (WAT2017)
%D 2017
%8 November
%I Asian Federation of Natural Language Processing
%C Taipei, Taiwan
%F wang-etal-2017-xmu-neural
%X This paper describes the Neural Machine Translation systems of Xiamen University for the shared translation tasks of WAT 2017. Our systems are based on the Encoder-Decoder framework with attention. We participated in three subtasks. We experimented subword segmentation, synthetic training data and model ensembling. Experiments show that all these methods can give substantial improvements.
%U https://aclanthology.org/W17-5707/
%P 95-98
Markdown (Informal)
[XMU Neural Machine Translation Systems for WAT 2017](https://aclanthology.org/W17-5707/) (Wang et al., WAT 2017)
ACL
- Boli Wang, Zhixing Tan, Jinming Hu, Yidong Chen, and Xiaodong Shi. 2017. XMU Neural Machine Translation Systems for WAT 2017. In Proceedings of the 4th Workshop on Asian Translation (WAT2017), pages 95–98, Taipei, Taiwan. Asian Federation of Natural Language Processing.