@inproceedings{qian-etal-2021-volctrans,
title = "The Volctrans {GLAT} System: Non-autoregressive Translation Meets {WMT}21",
author = "Qian, Lihua and
Zhou, Yi and
Zheng, Zaixiang and
Zhu, Yaoming and
Lin, Zehui and
Feng, Jiangtao and
Cheng, Shanbo and
Li, Lei and
Wang, Mingxuan and
Zhou, Hao",
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-1.17",
pages = "187--196",
abstract = "This paper describes the Volctrans{'} submission to the WMT21 news translation shared task for German-{\textgreater}English translation. We build a parallel (i.e., non-autoregressive) translation system using the Glancing Transformer, which enables fast and accurate parallel decoding in contrast to the currently prevailing autoregressive models. To the best of our knowledge, this is the first parallel translation system that can be scaled to such a practical scenario like WMT competition. More importantly, our parallel translation system achieves the best BLEU score (35.0) on German-{\textgreater}English translation task, outperforming all strong autoregressive counterparts.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="qian-etal-2021-volctrans">
<titleInfo>
<title>The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21</title>
</titleInfo>
<name type="personal">
<namePart type="given">Lihua</namePart>
<namePart type="family">Qian</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Yi</namePart>
<namePart type="family">Zhou</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Zaixiang</namePart>
<namePart type="family">Zheng</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Yaoming</namePart>
<namePart type="family">Zhu</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Zehui</namePart>
<namePart type="family">Lin</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Jiangtao</namePart>
<namePart type="family">Feng</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Shanbo</namePart>
<namePart type="family">Cheng</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Lei</namePart>
<namePart type="family">Li</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Mingxuan</namePart>
<namePart type="family">Wang</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Hao</namePart>
<namePart type="family">Zhou</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2021-nov</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the Sixth Conference on Machine Translation</title>
</titleInfo>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Online</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>This paper describes the Volctrans’ submission to the WMT21 news translation shared task for German-\textgreaterEnglish translation. We build a parallel (i.e., non-autoregressive) translation system using the Glancing Transformer, which enables fast and accurate parallel decoding in contrast to the currently prevailing autoregressive models. To the best of our knowledge, this is the first parallel translation system that can be scaled to such a practical scenario like WMT competition. More importantly, our parallel translation system achieves the best BLEU score (35.0) on German-\textgreaterEnglish translation task, outperforming all strong autoregressive counterparts.</abstract>
<identifier type="citekey">qian-etal-2021-volctrans</identifier>
<location>
<url>https://aclanthology.org/2021.wmt-1.17</url>
</location>
<part>
<date>2021-nov</date>
<extent unit="page">
<start>187</start>
<end>196</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21
%A Qian, Lihua
%A Zhou, Yi
%A Zheng, Zaixiang
%A Zhu, Yaoming
%A Lin, Zehui
%A Feng, Jiangtao
%A Cheng, Shanbo
%A Li, Lei
%A Wang, Mingxuan
%A Zhou, Hao
%S Proceedings of the Sixth Conference on Machine Translation
%D 2021
%8 nov
%I Association for Computational Linguistics
%C Online
%F qian-etal-2021-volctrans
%X This paper describes the Volctrans’ submission to the WMT21 news translation shared task for German-\textgreaterEnglish translation. We build a parallel (i.e., non-autoregressive) translation system using the Glancing Transformer, which enables fast and accurate parallel decoding in contrast to the currently prevailing autoregressive models. To the best of our knowledge, this is the first parallel translation system that can be scaled to such a practical scenario like WMT competition. More importantly, our parallel translation system achieves the best BLEU score (35.0) on German-\textgreaterEnglish translation task, outperforming all strong autoregressive counterparts.
%U https://aclanthology.org/2021.wmt-1.17
%P 187-196
Markdown (Informal)
[The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21](https://aclanthology.org/2021.wmt-1.17) (Qian et al., WMT 2021)
ACL
- Lihua Qian, Yi Zhou, Zaixiang Zheng, Yaoming Zhu, Zehui Lin, Jiangtao Feng, Shanbo Cheng, Lei Li, Mingxuan Wang, and Hao Zhou. 2021. The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21. In Proceedings of the Sixth Conference on Machine Translation, pages 187–196, Online. Association for Computational Linguistics.