<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="chen-wang-2023-sjtu">
    <titleInfo>
        <title>SJTU-MTLAB’s Submission to the WMT23 Word-Level Auto Completion Task</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Xingyu</namePart>
        <namePart type="family">Chen</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Rui</namePart>
        <namePart type="family">Wang</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2023-12</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Eighth Conference on Machine Translation</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Philipp</namePart>
            <namePart type="family">Koehn</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Barry</namePart>
            <namePart type="family">Haddow</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Tom</namePart>
            <namePart type="family">Kocmi</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Christof</namePart>
            <namePart type="family">Monz</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Singapore</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>Word-level auto-completion (WLAC) plays a crucial role in Computer-Assisted Translation. In this paper, we describe the SJTU-MTLAB’s submission to the WMT23 WLAC task. We propose a joint method to incorporate the machine translation task to the WLAC task. The proposed approach is general and can be applied to various encoder-based architectures. Through extensive experiments, we demonstrate that our approach can greatly improve performance, while maintaining significantly small model sizes.</abstract>
    <identifier type="citekey">chen-wang-2023-sjtu</identifier>
    <identifier type="doi">10.18653/v1/2023.wmt-1.77</identifier>
    <location>
        <url>https://aclanthology.org/2023.wmt-1.77</url>
    </location>
    <part>
        <date>2023-12</date>
        <extent unit="page">
            <start>872</start>
            <end>876</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T SJTU-MTLAB’s Submission to the WMT23 Word-Level Auto Completion Task
%A Chen, Xingyu
%A Wang, Rui
%Y Koehn, Philipp
%Y Haddow, Barry
%Y Kocmi, Tom
%Y Monz, Christof
%S Proceedings of the Eighth Conference on Machine Translation
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F chen-wang-2023-sjtu
%X Word-level auto-completion (WLAC) plays a crucial role in Computer-Assisted Translation. In this paper, we describe the SJTU-MTLAB’s submission to the WMT23 WLAC task. We propose a joint method to incorporate the machine translation task to the WLAC task. The proposed approach is general and can be applied to various encoder-based architectures. Through extensive experiments, we demonstrate that our approach can greatly improve performance, while maintaining significantly small model sizes.
%R 10.18653/v1/2023.wmt-1.77
%U https://aclanthology.org/2023.wmt-1.77
%U https://doi.org/10.18653/v1/2023.wmt-1.77
%P 872-876

Markdown (Informal)

[SJTU-MTLAB’s Submission to the WMT23 Word-Level Auto Completion Task](https://aclanthology.org/2023.wmt-1.77) (Chen & Wang, WMT 2023)

• SJTU-MTLAB’s Submission to the WMT23 Word-Level Auto Completion Task (Chen & Wang, WMT 2023)

ACL

• Xingyu Chen and Rui Wang. 2023. SJTU-MTLAB’s Submission to the WMT23 Word-Level Auto Completion Task. In Proceedings of the Eighth Conference on Machine Translation, pages 872–876, Singapore. Association for Computational Linguistics.