<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="guo-etal-2021-istics">
    <titleInfo>
        <title>ISTIC’s Triangular Machine Translation System for WMT2021</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Hangcheng</namePart>
        <namePart type="family">Guo</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Wenbin</namePart>
        <namePart type="family">Liu</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Yanqing</namePart>
        <namePart type="family">He</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Tian</namePart>
        <namePart type="family">Lan</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Hongjiao</namePart>
        <namePart type="family">Xu</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Zhenfeng</namePart>
        <namePart type="family">Wu</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">You</namePart>
        <namePart type="family">Pan</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 ISTIC’s submission to the Triangular Machine Translation Task of Russian-to-Chinese machine translation for WMT’ 2021. In order to fully utilize the provided corpora and promote the translation performance from Russian to Chinese, the pivot method is used in our system which pipelines the Russian-to-English translator and the English-to-Chinese translator to form a Russian-to-Chinese translator. Our system is based on the Transformer architecture and several effective strategies are adopted to improve the quality of translation, including corpus filtering, data pre-processing, system combination and model ensemble.</abstract>
    <identifier type="citekey">guo-etal-2021-istics</identifier>
    <location>
        <url>https://aclanthology.org/2021.wmt-1.36</url>
    </location>
    <part>
        <date>2021-nov</date>
        <extent unit="page">
            <start>320</start>
            <end>324</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T ISTIC’s Triangular Machine Translation System for WMT2021
%A Guo, Hangcheng
%A Liu, Wenbin
%A He, Yanqing
%A Lan, Tian
%A Xu, Hongjiao
%A Wu, Zhenfeng
%A Pan, You
%S Proceedings of the Sixth Conference on Machine Translation
%D 2021
%8 nov
%I Association for Computational Linguistics
%C Online
%F guo-etal-2021-istics
%X This paper describes the ISTIC’s submission to the Triangular Machine Translation Task of Russian-to-Chinese machine translation for WMT’ 2021. In order to fully utilize the provided corpora and promote the translation performance from Russian to Chinese, the pivot method is used in our system which pipelines the Russian-to-English translator and the English-to-Chinese translator to form a Russian-to-Chinese translator. Our system is based on the Transformer architecture and several effective strategies are adopted to improve the quality of translation, including corpus filtering, data pre-processing, system combination and model ensemble.
%U https://aclanthology.org/2021.wmt-1.36
%P 320-324

Markdown (Informal)

[ISTIC’s Triangular Machine Translation System for WMT2021](https://aclanthology.org/2021.wmt-1.36) (Guo et al., WMT 2021)

• ISTIC’s Triangular Machine Translation System for WMT2021 (Guo et al., WMT 2021)

ACL

• Hangcheng Guo, Wenbin Liu, Yanqing He, Tian Lan, Hongjiao Xu, Zhenfeng Wu, and You Pan. 2021. ISTIC’s Triangular Machine Translation System for WMT2021. In Proceedings of the Sixth Conference on Machine Translation, pages 320–324, Online. Association for Computational Linguistics.