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        <title>Huawei’s Submissions to the WMT20 Biomedical Translation Task</title>
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            <title>Proceedings of the Fifth Conference on Machine Translation</title>
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    <abstract>This paper describes Huawei’s submissions to the WMT20 biomedical translation shared task. Apart from experimenting with finetuning on domain-specific bitexts, we explore effects of in-domain dictionaries on enhancing cross-domain neural machine translation performance. We utilize a transfer learning strategy through pre-trained machine translation models and extensive scope of engineering endeavors. Four of our ten submissions achieve state-of-the-art performance according to the official automatic evaluation results, namely translation directions on English\textless-\textgreaterFrench, English-\textgreaterGerman and English-\textgreaterItalian.</abstract>
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%0 Conference Proceedings
%T Huawei’s Submissions to the WMT20 Biomedical Translation Task
%A Peng, Wei
%A Liu, Jianfeng
%A Wang, Minghan
%A Li, Liangyou
%A Meng, Xupeng
%A Yang, Hao
%A Liu, Qun
%S Proceedings of the Fifth Conference on Machine Translation
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F peng-etal-2020-huaweis
%X This paper describes Huawei’s submissions to the WMT20 biomedical translation shared task. Apart from experimenting with finetuning on domain-specific bitexts, we explore effects of in-domain dictionaries on enhancing cross-domain neural machine translation performance. We utilize a transfer learning strategy through pre-trained machine translation models and extensive scope of engineering endeavors. Four of our ten submissions achieve state-of-the-art performance according to the official automatic evaluation results, namely translation directions on English\textless-\textgreaterFrench, English-\textgreaterGerman and English-\textgreaterItalian.
%U https://aclanthology.org/2020.wmt-1.93
%P 857-861

Markdown (Informal)

[Huawei’s Submissions to the WMT20 Biomedical Translation Task](https://aclanthology.org/2020.wmt-1.93) (Peng et al., WMT 2020)

• Huawei’s Submissions to the WMT20 Biomedical Translation Task (Peng et al., WMT 2020)

ACL

• Wei Peng, Jianfeng Liu, Minghan Wang, Liangyou Li, Xupeng Meng, Hao Yang, and Qun Liu. 2020. Huawei’s Submissions to the WMT20 Biomedical Translation Task. In Proceedings of the Fifth Conference on Machine Translation, pages 857–861, Online. Association for Computational Linguistics.