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        <title>Findings of the 2018 Conference on Machine Translation (WMT18)</title>
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    <name type="personal">
        <namePart type="given">Ondřej</namePart>
        <namePart type="family">Bojar</namePart>
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    <name type="personal">
        <namePart type="given">Christian</namePart>
        <namePart type="family">Federmann</namePart>
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    <name type="personal">
        <namePart type="given">Mark</namePart>
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    <name type="personal">
        <namePart type="given">Yvette</namePart>
        <namePart type="family">Graham</namePart>
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            <roleTerm authority="marcrelator" type="text">author</roleTerm>
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    <name type="personal">
        <namePart type="given">Barry</namePart>
        <namePart type="family">Haddow</namePart>
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    <name type="personal">
        <namePart type="given">Matthias</namePart>
        <namePart type="family">Huck</namePart>
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            <roleTerm authority="marcrelator" type="text">author</roleTerm>
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    <name type="personal">
        <namePart type="given">Philipp</namePart>
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    <name type="personal">
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        <dateIssued>2018-10</dateIssued>
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            <title>Proceedings of the Third Conference on Machine Translation: Shared Task Papers</title>
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    <abstract>This paper presents the results of the premier shared task organized alongside the Conference on Machine Translation (WMT) 2018. Participants were asked to build machine translation systems for any of 7 language pairs in both directions, to be evaluated on a test set of news stories. The main metric for this task is human judgment of translation quality. This year, we also opened up the task to additional test sets to probe specific aspects of translation.</abstract>
    <identifier type="citekey">bojar-etal-2018-findings</identifier>
    <identifier type="doi">10.18653/v1/W18-6401</identifier>
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        <date>2018-10</date>
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            <start>272</start>
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%0 Conference Proceedings
%T Findings of the 2018 Conference on Machine Translation (WMT18)
%A Bojar, Ondřej
%A Federmann, Christian
%A Fishel, Mark
%A Graham, Yvette
%A Haddow, Barry
%A Huck, Matthias
%A Koehn, Philipp
%A Monz, Christof
%S Proceedings of the Third Conference on Machine Translation: Shared Task Papers
%D 2018
%8 October
%I Association for Computational Linguistics
%C Belgium, Brussels
%F bojar-etal-2018-findings
%X This paper presents the results of the premier shared task organized alongside the Conference on Machine Translation (WMT) 2018. Participants were asked to build machine translation systems for any of 7 language pairs in both directions, to be evaluated on a test set of news stories. The main metric for this task is human judgment of translation quality. This year, we also opened up the task to additional test sets to probe specific aspects of translation.
%R 10.18653/v1/W18-6401
%U https://aclanthology.org/W18-6401
%U https://doi.org/10.18653/v1/W18-6401
%P 272-303

Markdown (Informal)

[Findings of the 2018 Conference on Machine Translation (WMT18)](https://aclanthology.org/W18-6401) (Bojar et al., WMT 2018)

• Findings of the 2018 Conference on Machine Translation (WMT18) (Bojar et al., WMT 2018)

ACL

• Ondřej Bojar, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Philipp Koehn, and Christof Monz. 2018. Findings of the 2018 Conference on Machine Translation (WMT18). In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 272–303, Belgium, Brussels. Association for Computational Linguistics.