<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="chung-etal-2011-scfg">
    <titleInfo>
        <title>SCFG latent annotation for machine translation</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Tagyoung</namePart>
        <namePart type="family">Chung</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Licheng</namePart>
        <namePart type="family">Fang</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Daniel</namePart>
        <namePart type="family">Gildea</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2011-dec&quot; 8-9&quot;</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 8th International Workshop on Spoken Language Translation: Evaluation Campaign</title>
        </titleInfo>
        <originInfo>
            <place>
                <placeTerm type="text">San Francisco, California</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>We discuss learning latent annotations for synchronous context-free grammars (SCFG) for the purpose of improving machine translation. We show that learning annotations for nonterminals results in not only more accurate translation, but also faster SCFG decoding.</abstract>
    <identifier type="citekey">chung-etal-2011-scfg</identifier>
    <location>
        <url>https://aclanthology.org/2011.iwslt-evaluation.20</url>
    </location>
    <part>
        <date>2011-dec&quot; 8-9&quot;</date>
        <extent unit="page">
            <start>151</start>
            <end>158</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T SCFG latent annotation for machine translation
%A Chung, Tagyoung
%A Fang, Licheng
%A Gildea, Daniel
%S Proceedings of the 8th International Workshop on Spoken Language Translation: Evaluation Campaign
%D 2011
%8 dec" 8 9"
%C San Francisco, California
%F chung-etal-2011-scfg
%X We discuss learning latent annotations for synchronous context-free grammars (SCFG) for the purpose of improving machine translation. We show that learning annotations for nonterminals results in not only more accurate translation, but also faster SCFG decoding.
%U https://aclanthology.org/2011.iwslt-evaluation.20
%P 151-158

Markdown (Informal)

[SCFG latent annotation for machine translation](https://aclanthology.org/2011.iwslt-evaluation.20) (Chung et al., IWSLT 2011)

• SCFG latent annotation for machine translation (Chung et al., IWSLT 2011)

ACL

• Tagyoung Chung, Licheng Fang, and Daniel Gildea. 2011. SCFG latent annotation for machine translation. In Proceedings of the 8th International Workshop on Spoken Language Translation: Evaluation Campaign, pages 151–158, San Francisco, California.