<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="gebre-etal-2014-unsupervised">
    <titleInfo>
        <title>Unsupervised Feature Learning for Visual Sign Language Identification</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Binyam</namePart>
        <namePart type="given">Gebrekidan</namePart>
        <namePart type="family">Gebre</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Onno</namePart>
        <namePart type="family">Crasborn</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Peter</namePart>
        <namePart type="family">Wittenburg</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Sebastian</namePart>
        <namePart type="family">Drude</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Tom</namePart>
        <namePart type="family">Heskes</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2014-06</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Kristina</namePart>
            <namePart type="family">Toutanova</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Hua</namePart>
            <namePart type="family">Wu</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Baltimore, Maryland</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <identifier type="citekey">gebre-etal-2014-unsupervised</identifier>
    <identifier type="doi">10.3115/v1/P14-2061</identifier>
    <location>
        <url>https://aclanthology.org/P14-2061/</url>
    </location>
    <part>
        <date>2014-06</date>
        <extent unit="page">
            <start>370</start>
            <end>376</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Unsupervised Feature Learning for Visual Sign Language Identification
%A Gebre, Binyam Gebrekidan
%A Crasborn, Onno
%A Wittenburg, Peter
%A Drude, Sebastian
%A Heskes, Tom
%Y Toutanova, Kristina
%Y Wu, Hua
%S Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2014
%8 June
%I Association for Computational Linguistics
%C Baltimore, Maryland
%F gebre-etal-2014-unsupervised
%R 10.3115/v1/P14-2061
%U https://aclanthology.org/P14-2061/
%U https://doi.org/10.3115/v1/P14-2061
%P 370-376

Markdown (Informal)

[Unsupervised Feature Learning for Visual Sign Language Identification](https://aclanthology.org/P14-2061/) (Gebre et al., ACL 2014)

• Unsupervised Feature Learning for Visual Sign Language Identification (Gebre et al., ACL 2014)

ACL

• Binyam Gebrekidan Gebre, Onno Crasborn, Peter Wittenburg, Sebastian Drude, and Tom Heskes. 2014. Unsupervised Feature Learning for Visual Sign Language Identification. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 370–376, Baltimore, Maryland. Association for Computational Linguistics.