<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="peng-etal-2013-casia">
    <titleInfo>
        <title>The CASIA machine translation system for IWSLT 2013</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Xingyuan</namePart>
        <namePart type="family">Peng</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Xiaoyin</namePart>
        <namePart type="family">Fu</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Wei</namePart>
        <namePart type="family">Wei</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Zhenbiao</namePart>
        <namePart type="family">Chen</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Wei</namePart>
        <namePart type="family">Chen</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Bo</namePart>
        <namePart type="family">Xu</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2013-dec 5-6</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 10th International Workshop on Spoken Language Translation: Evaluation Campaign</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Joy</namePart>
            <namePart type="given">Ying</namePart>
            <namePart type="family">Zhang</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <place>
                <placeTerm type="text">Heidelberg, Germany</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>In this paper, we describe the CASIA statistical machine translation (SMT) system for the IWSLT2013 Evaluation Campaign. We participated in the Chinese-English and English-Chinese translation tasks. For both of these tasks, we used a hierarchical phrase-based (HPB) decoder and made it as our baseline translation system. A number of techniques were proposed to deal with these translation tasks, including parallel sentence extraction, pre-processing, translation model (TM) optimization, language model (LM) interpolation, turning, and post-processing. With these techniques, the translation results were significantly improved compared with that of the baseline system.</abstract>
    <identifier type="citekey">peng-etal-2013-casia</identifier>
    <location>
        <url>https://aclanthology.org/2013.iwslt-evaluation.25</url>
    </location>
    <part>
        <date>2013-dec 5-6</date>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T The CASIA machine translation system for IWSLT 2013
%A Peng, Xingyuan
%A Fu, Xiaoyin
%A Wei, Wei
%A Chen, Zhenbiao
%A Chen, Wei
%A Xu, Bo
%Y Zhang, Joy Ying
%S Proceedings of the 10th International Workshop on Spoken Language Translation: Evaluation Campaign
%D 2013
%8 dec 5 6
%C Heidelberg, Germany
%F peng-etal-2013-casia
%X In this paper, we describe the CASIA statistical machine translation (SMT) system for the IWSLT2013 Evaluation Campaign. We participated in the Chinese-English and English-Chinese translation tasks. For both of these tasks, we used a hierarchical phrase-based (HPB) decoder and made it as our baseline translation system. A number of techniques were proposed to deal with these translation tasks, including parallel sentence extraction, pre-processing, translation model (TM) optimization, language model (LM) interpolation, turning, and post-processing. With these techniques, the translation results were significantly improved compared with that of the baseline system.
%U https://aclanthology.org/2013.iwslt-evaluation.25

Markdown (Informal)

[The CASIA machine translation system for IWSLT 2013](https://aclanthology.org/2013.iwslt-evaluation.25) (Peng et al., IWSLT 2013)

• The CASIA machine translation system for IWSLT 2013 (Peng et al., IWSLT 2013)

ACL

• Xingyuan Peng, Xiaoyin Fu, Wei Wei, Zhenbiao Chen, Wei Chen, and Bo Xu. 2013. The CASIA machine translation system for IWSLT 2013. In Proceedings of the 10th International Workshop on Spoken Language Translation: Evaluation Campaign, Heidelberg, Germany.