OPPO’s Machine Translation Systems for WMT20

Tingxun Shi, Shiyu Zhao, Xiaopu Li, Xiaoxue Wang, Qian Zhang, Di Ai, Dawei Dang, Xue Zhengshan, Jie Hao


Abstract
In this paper we demonstrate our (OPPO’s) machine translation systems for the WMT20 Shared Task on News Translation for all the 22 language pairs. We will give an overview of the common aspects across all the systems firstly, including two parts: the data preprocessing part will show how the data are preprocessed and filtered, and the system part will show our models architecture and the techniques we followed. Detailed information, such as training hyperparameters and the results generated by each technique will be depicted in the corresponding subsections. Our final submissions ranked top in 6 directions (English Czech, English Russian, French German and Tamil English), third in 2 directions (English German, English Japanese), and fourth in 2 directions (English Pashto and and English Tamil).
Anthology ID:
2020.wmt-1.30
Volume:
Proceedings of the Fifth Conference on Machine Translation
Month:
November
Year:
2020
Address:
Online
Venue:
WMT
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
282–292
Language:
URL:
https://aclanthology.org/2020.wmt-1.30
DOI:
Bibkey:
Cite (ACL):
Tingxun Shi, Shiyu Zhao, Xiaopu Li, Xiaoxue Wang, Qian Zhang, Di Ai, Dawei Dang, Xue Zhengshan, and Jie Hao. 2020. OPPO’s Machine Translation Systems for WMT20. In Proceedings of the Fifth Conference on Machine Translation, pages 282–292, Online. Association for Computational Linguistics.
Cite (Informal):
OPPO’s Machine Translation Systems for WMT20 (Shi et al., WMT 2020)
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PDF:
https://preview.aclanthology.org/author-url/2020.wmt-1.30.pdf
Video:
 https://slideslive.com/38939558