@inproceedings{yang-etal-2021-hw,
title = "{HW}-{TSC}{'}s Submissions to the {WMT}21 Biomedical Translation Task",
author = "Yang, Hao and
Wu, Zhanglin and
Yu, Zhengzhe and
Chen, Xiaoyu and
Wei, Daimeng and
Li, Zongyao and
Shang, Hengchao and
Wang, Minghan and
Guo, Jiaxin and
Lei, Lizhi and
Xu, Chuanfei and
Zhang, Min and
Qin, Ying",
booktitle = "Proceedings of the Sixth Conference on Machine Translation",
month = nov,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.wmt-1.90",
pages = "879--884",
abstract = "This paper describes the submission of Huawei Translation Service Center (HW-TSC) to WMT21 biomedical translation task in two language pairs: Chinese↔English and German↔English (Our registered team name is HuaweiTSC). Technical details are introduced in this paper, including model framework, data pre-processing method and model enhancement strategies. In addition, using the wmt20 OK-aligned biomedical test set, we compare and analyze system performances under different strategies. On WMT21 biomedical translation task, Our systems in English→Chinese and English→German directions get the highest BLEU scores among all submissions according to the official evaluation results.",
}
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<abstract>This paper describes the submission of Huawei Translation Service Center (HW-TSC) to WMT21 biomedical translation task in two language pairs: Chinese↔English and German↔English (Our registered team name is HuaweiTSC). Technical details are introduced in this paper, including model framework, data pre-processing method and model enhancement strategies. In addition, using the wmt20 OK-aligned biomedical test set, we compare and analyze system performances under different strategies. On WMT21 biomedical translation task, Our systems in English→Chinese and English→German directions get the highest BLEU scores among all submissions according to the official evaluation results.</abstract>
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%0 Conference Proceedings
%T HW-TSC’s Submissions to the WMT21 Biomedical Translation Task
%A Yang, Hao
%A Wu, Zhanglin
%A Yu, Zhengzhe
%A Chen, Xiaoyu
%A Wei, Daimeng
%A Li, Zongyao
%A Shang, Hengchao
%A Wang, Minghan
%A Guo, Jiaxin
%A Lei, Lizhi
%A Xu, Chuanfei
%A Zhang, Min
%A Qin, Ying
%S Proceedings of the Sixth Conference on Machine Translation
%D 2021
%8 nov
%I Association for Computational Linguistics
%C Online
%F yang-etal-2021-hw
%X This paper describes the submission of Huawei Translation Service Center (HW-TSC) to WMT21 biomedical translation task in two language pairs: Chinese↔English and German↔English (Our registered team name is HuaweiTSC). Technical details are introduced in this paper, including model framework, data pre-processing method and model enhancement strategies. In addition, using the wmt20 OK-aligned biomedical test set, we compare and analyze system performances under different strategies. On WMT21 biomedical translation task, Our systems in English→Chinese and English→German directions get the highest BLEU scores among all submissions according to the official evaluation results.
%U https://aclanthology.org/2021.wmt-1.90
%P 879-884
Markdown (Informal)
[HW-TSC’s Submissions to the WMT21 Biomedical Translation Task](https://aclanthology.org/2021.wmt-1.90) (Yang et al., WMT 2021)
ACL
- Hao Yang, Zhanglin Wu, Zhengzhe Yu, Xiaoyu Chen, Daimeng Wei, Zongyao Li, Hengchao Shang, Minghan Wang, Jiaxin Guo, Lizhi Lei, Chuanfei Xu, Min Zhang, and Ying Qin. 2021. HW-TSC’s Submissions to the WMT21 Biomedical Translation Task. In Proceedings of the Sixth Conference on Machine Translation, pages 879–884, Online. Association for Computational Linguistics.