@inproceedings{shi-etal-2020-oppos,
title = "{OPPO}{'}s Machine Translation Systems for {WMT}20",
author = "Shi, Tingxun and
Zhao, Shiyu and
Li, Xiaopu and
Wang, Xiaoxue and
Zhang, Qian and
Ai, Di and
Dang, Dawei and
Zhengshan, Xue and
Hao, Jie",
booktitle = "Proceedings of the Fifth Conference on Machine Translation",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.wmt-1.30",
pages = "282--292",
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 $\leftrightarrow$ Czech, English $\leftrightarrow$ Russian, French $\rightarrow$ German and Tamil $\rightarrow$ English), third in 2 directions (English $\rightarrow$ German, English $\rightarrow$ Japanese), and fourth in 2 directions (English $\rightarrow$ Pashto and and English $\rightarrow$ Tamil).",
}
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<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 $\leftrightarrow$ Czech, English $\leftrightarrow$ Russian, French $\rightarrow$ German and Tamil $\rightarrow$ English), third in 2 directions (English $\rightarrow$ German, English $\rightarrow$ Japanese), and fourth in 2 directions (English $\rightarrow$ Pashto and and English $\rightarrow$ Tamil).</abstract>
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%0 Conference Proceedings
%T OPPO’s Machine Translation Systems for WMT20
%A Shi, Tingxun
%A Zhao, Shiyu
%A Li, Xiaopu
%A Wang, Xiaoxue
%A Zhang, Qian
%A Ai, Di
%A Dang, Dawei
%A Zhengshan, Xue
%A Hao, Jie
%S Proceedings of the Fifth Conference on Machine Translation
%D 2020
%8 nov
%I Association for Computational Linguistics
%C Online
%F shi-etal-2020-oppos
%X 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 $\leftrightarrow$ Czech, English $\leftrightarrow$ Russian, French $\rightarrow$ German and Tamil $\rightarrow$ English), third in 2 directions (English $\rightarrow$ German, English $\rightarrow$ Japanese), and fourth in 2 directions (English $\rightarrow$ Pashto and and English $\rightarrow$ Tamil).
%U https://aclanthology.org/2020.wmt-1.30
%P 282-292
Markdown (Informal)
[OPPO’s Machine Translation Systems for WMT20](https://aclanthology.org/2020.wmt-1.30) (Shi et al., WMT 2020)
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.