<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="peng-etal-2014-learning">
    <titleInfo>
        <title>Learning Polylingual Topic Models from Code-Switched Social Media Documents</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Nanyun</namePart>
        <namePart type="family">Peng</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Yiming</namePart>
        <namePart type="family">Wang</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Mark</namePart>
        <namePart type="family">Dredze</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">peng-etal-2014-learning</identifier>
    <identifier type="doi">10.3115/v1/P14-2110</identifier>
    <location>
        <url>https://aclanthology.org/P14-2110</url>
    </location>
    <part>
        <date>2014-06</date>
        <extent unit="page">
            <start>674</start>
            <end>679</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Learning Polylingual Topic Models from Code-Switched Social Media Documents
%A Peng, Nanyun
%A Wang, Yiming
%A Dredze, Mark
%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 peng-etal-2014-learning
%R 10.3115/v1/P14-2110
%U https://aclanthology.org/P14-2110
%U https://doi.org/10.3115/v1/P14-2110
%P 674-679

Markdown (Informal)

[Learning Polylingual Topic Models from Code-Switched Social Media Documents](https://aclanthology.org/P14-2110) (Peng et al., ACL 2014)

• Learning Polylingual Topic Models from Code-Switched Social Media Documents (Peng et al., ACL 2014)

ACL

• Nanyun Peng, Yiming Wang, and Mark Dredze. 2014. Learning Polylingual Topic Models from Code-Switched Social Media Documents. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 674–679, Baltimore, Maryland. Association for Computational Linguistics.