<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="berard-etal-2020-naver">
    <titleInfo>
        <title>Naver Labs Europe’s Participation in the Robustness, Chat, and Biomedical Tasks at WMT 2020</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Alexandre</namePart>
        <namePart type="family">Berard</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Ioan</namePart>
        <namePart type="family">Calapodescu</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Vassilina</namePart>
        <namePart type="family">Nikoulina</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Jerin</namePart>
        <namePart type="family">Philip</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2020-nov</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Fifth 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 Naver Labs Europe’s participation in the Robustness, Chat, and Biomedical Translation tasks at WMT 2020. We propose a bidirectional German-English model that is multi-domain, robust to noise, and which can translate entire documents (or bilingual dialogues) at once. We use the same ensemble of such models as our primary submission to all three tasks and achieve competitive results. We also experiment with language model pre-training techniques and evaluate their impact on robustness to noise and out-of-domain translation. For German, Spanish, Italian, and French to English translation in the Biomedical Task, we also submit our recently released multilingual Covid19NMT model.</abstract>
    <identifier type="citekey">berard-etal-2020-naver</identifier>
    <location>
        <url>https://aclanthology.org/2020.wmt-1.57</url>
    </location>
    <part>
        <date>2020-nov</date>
        <extent unit="page">
            <start>462</start>
            <end>472</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Naver Labs Europe’s Participation in the Robustness, Chat, and Biomedical Tasks at WMT 2020
%A Berard, Alexandre
%A Calapodescu, Ioan
%A Nikoulina, Vassilina
%A Philip, Jerin
%S Proceedings of the Fifth Conference on Machine Translation
%D 2020
%8 nov
%I Association for Computational Linguistics
%C Online
%F berard-etal-2020-naver
%X This paper describes Naver Labs Europe’s participation in the Robustness, Chat, and Biomedical Translation tasks at WMT 2020. We propose a bidirectional German-English model that is multi-domain, robust to noise, and which can translate entire documents (or bilingual dialogues) at once. We use the same ensemble of such models as our primary submission to all three tasks and achieve competitive results. We also experiment with language model pre-training techniques and evaluate their impact on robustness to noise and out-of-domain translation. For German, Spanish, Italian, and French to English translation in the Biomedical Task, we also submit our recently released multilingual Covid19NMT model.
%U https://aclanthology.org/2020.wmt-1.57
%P 462-472

Markdown (Informal)

[Naver Labs Europe’s Participation in the Robustness, Chat, and Biomedical Tasks at WMT 2020](https://aclanthology.org/2020.wmt-1.57) (Berard et al., WMT 2020)

• Naver Labs Europe’s Participation in the Robustness, Chat, and Biomedical Tasks at WMT 2020 (Berard et al., WMT 2020)

ACL

• Alexandre Berard, Ioan Calapodescu, Vassilina Nikoulina, and Jerin Philip. 2020. Naver Labs Europe’s Participation in the Robustness, Chat, and Biomedical Tasks at WMT 2020. In Proceedings of the Fifth Conference on Machine Translation, pages 462–472, Online. Association for Computational Linguistics.