<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="niehues-waibel-2012-detailed">
    <titleInfo>
        <title>Detailed Analysis of Different Strategies for Phrase Table Adaptation in SMT</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Jan</namePart>
        <namePart type="family">Niehues</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Alex</namePart>
        <namePart type="family">Waibel</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2012-oct&quot; 28-&quot;nov&quot; 1&quot;</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Research Papers</title>
        </titleInfo>
        <originInfo>
            <publisher>Association for Machine Translation in the Americas</publisher>
            <place>
                <placeTerm type="text">San Diego, California, USA</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>This paper gives a detailed analysis of different approaches to adapt a statistical machine translation system towards a target domain using small amounts of parallel in-domain data. Therefore, we investigate the differences between the approaches addressing adaptation on the two main steps of building a translation model: The candidate selection and the phrase scoring. For the latter step we characterized the differences by four key aspects. We performed experiments on two different tasks of speech translation and analyzed the influence of the different aspects on the overall translation quality. On both tasks we could show significant improvements by using the presented adaptation techniques.</abstract>
    <identifier type="citekey">niehues-waibel-2012-detailed</identifier>
    <location>
        <url>https://aclanthology.org/2012.amta-papers.19</url>
    </location>
    <part>
        <date>2012-oct&quot; 28-&quot;nov&quot; 1&quot;</date>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Detailed Analysis of Different Strategies for Phrase Table Adaptation in SMT
%A Niehues, Jan
%A Waibel, Alex
%S Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Research Papers
%D 2012
%8 oct" 28 "nov" 1"
%I Association for Machine Translation in the Americas
%C San Diego, California, USA
%F niehues-waibel-2012-detailed
%X This paper gives a detailed analysis of different approaches to adapt a statistical machine translation system towards a target domain using small amounts of parallel in-domain data. Therefore, we investigate the differences between the approaches addressing adaptation on the two main steps of building a translation model: The candidate selection and the phrase scoring. For the latter step we characterized the differences by four key aspects. We performed experiments on two different tasks of speech translation and analyzed the influence of the different aspects on the overall translation quality. On both tasks we could show significant improvements by using the presented adaptation techniques.
%U https://aclanthology.org/2012.amta-papers.19

Markdown (Informal)

[Detailed Analysis of Different Strategies for Phrase Table Adaptation in SMT](https://aclanthology.org/2012.amta-papers.19) (Niehues & Waibel, AMTA 2012)

• Detailed Analysis of Different Strategies for Phrase Table Adaptation in SMT (Niehues & Waibel, AMTA 2012)

ACL

• Jan Niehues and Alex Waibel. 2012. Detailed Analysis of Different Strategies for Phrase Table Adaptation in SMT. In Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Research Papers, San Diego, California, USA. Association for Machine Translation in the Americas.