<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="williems-etal-2018-samsung">
    <titleInfo>
        <title>Samsung and University of Edinburgh’s System for the IWSLT 2018 Low Resource MT Task</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Philip</namePart>
        <namePart type="family">Williams</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Marcin</namePart>
        <namePart type="family">Chochowski</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Pawel</namePart>
        <namePart type="family">Przybysz</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Rico</namePart>
        <namePart type="family">Sennrich</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Barry</namePart>
        <namePart type="family">Haddow</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Alexandra</namePart>
        <namePart type="family">Birch</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2018-oct 29-30</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 15th International Conference on Spoken Language Translation</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Marco</namePart>
            <namePart type="family">Turchi</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Jan</namePart>
            <namePart type="family">Niehues</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Marcello</namePart>
            <namePart type="family">Frederico</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>International Conference on Spoken Language Translation</publisher>
            <place>
                <placeTerm type="text">Brussels</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>This paper describes the joint submission to the IWSLT 2018 Low Resource MT task by Samsung R&amp;D Institute, Poland, and the University of Edinburgh. We focused on supplementing the very limited in-domain Basque-English training data with out-of-domain data, with synthetic data, and with data for other language pairs. We also experimented with a variety of model architectures and features, which included the development of extensions to the Nematus toolkit. Our submission was ultimately produced by a system combination in which we reranked translations from our strongest individual system using multiple weaker systems.</abstract>
    <identifier type="citekey">williems-etal-2018-samsung</identifier>
    <location>
        <url>https://aclanthology.org/2018.iwslt-1.17</url>
    </location>
    <part>
        <date>2018-oct 29-30</date>
        <extent unit="page">
            <start>118</start>
            <end>123</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Samsung and University of Edinburgh’s System for the IWSLT 2018 Low Resource MT Task
%A Williams, Philip
%A Chochowski, Marcin
%A Przybysz, Pawel
%A Sennrich, Rico
%A Haddow, Barry
%A Birch, Alexandra
%Y Turchi, Marco
%Y Niehues, Jan
%Y Frederico, Marcello
%S Proceedings of the 15th International Conference on Spoken Language Translation
%D 2018
%8 oct 29 30
%I International Conference on Spoken Language Translation
%C Brussels
%F williems-etal-2018-samsung
%X This paper describes the joint submission to the IWSLT 2018 Low Resource MT task by Samsung R&D Institute, Poland, and the University of Edinburgh. We focused on supplementing the very limited in-domain Basque-English training data with out-of-domain data, with synthetic data, and with data for other language pairs. We also experimented with a variety of model architectures and features, which included the development of extensions to the Nematus toolkit. Our submission was ultimately produced by a system combination in which we reranked translations from our strongest individual system using multiple weaker systems.
%U https://aclanthology.org/2018.iwslt-1.17
%P 118-123

Markdown (Informal)

[Samsung and University of Edinburgh’s System for the IWSLT 2018 Low Resource MT Task](https://aclanthology.org/2018.iwslt-1.17) (Williams et al., IWSLT 2018)

• Samsung and University of Edinburgh’s System for the IWSLT 2018 Low Resource MT Task (Williams et al., IWSLT 2018)

ACL

• Philip Williams, Marcin Chochowski, Pawel Przybysz, Rico Sennrich, Barry Haddow, and Alexandra Birch. 2018. Samsung and University of Edinburgh’s System for the IWSLT 2018 Low Resource MT Task. In Proceedings of the 15th International Conference on Spoken Language Translation, pages 118–123, Brussels. International Conference on Spoken Language Translation.