XMU Neural Machine Translation Systems for WAT 2017
Boli Wang, Zhixing Tan, Jinming Hu, Yidong Chen, Xiaodong Shi
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.- Anthology ID:
- W17-5707
- Volume:
- Proceedings of the 4th Workshop on Asian Translation (WAT2017)
- Month:
- November
- Year:
- 2017
- Address:
- Taipei, Taiwan
- Editors:
- Toshiaki Nakazawa, Isao Goto
- Venue:
- WAT
- SIG:
- Publisher:
- Asian Federation of Natural Language Processing
- Note:
- Pages:
- 95–98
- Language:
- URL:
- https://aclanthology.org/W17-5707
- DOI:
- Cite (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.
- Cite (Informal):
- XMU Neural Machine Translation Systems for WAT 2017 (Wang et al., WAT 2017)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-5/W17-5707.pdf