<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="soricut-etal-2002-using">
    <titleInfo>
        <title>Using a large monolingual corpus to improve translation accuracy</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Radu</namePart>
        <namePart type="family">Soricut</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Kevin</namePart>
        <namePart type="family">Knight</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Daniel</namePart>
        <namePart type="family">Marcu</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2002-oct 8-12</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 5th Conference of the Association for Machine Translation in the Americas: Technical Papers</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Stephen</namePart>
            <namePart type="given">D</namePart>
            <namePart type="family">Richardson</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Springer</publisher>
            <place>
                <placeTerm type="text">Tiburon, USA</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>The existence of a phrase in a large monolingual corpus is very useful information, and so is its frequency. We introduce an alternative approach to automatic translation of phrases/sentences that operationalizes this observation. We use a statistical machine translation system to produce alternative translations and a large monolingual corpus to (re)rank these translations. Our results show that this combination yields better translations, especially when translating out-of-domain phrases/sentences. Our approach can be also used to automatically construct parallel corpora from monolingual resources.</abstract>
    <identifier type="citekey">soricut-etal-2002-using</identifier>
    <location>
        <url>https://aclanthology.org/2002.amta-papers.16/</url>
    </location>
    <part>
        <date>2002-oct 8-12</date>
        <extent unit="page">
            <start>155</start>
            <end>164</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Using a large monolingual corpus to improve translation accuracy
%A Soricut, Radu
%A Knight, Kevin
%A Marcu, Daniel
%Y Richardson, Stephen D.
%S Proceedings of the 5th Conference of the Association for Machine Translation in the Americas: Technical Papers
%D 2002
%8 oct 8 12
%I Springer
%C Tiburon, USA
%F soricut-etal-2002-using
%X The existence of a phrase in a large monolingual corpus is very useful information, and so is its frequency. We introduce an alternative approach to automatic translation of phrases/sentences that operationalizes this observation. We use a statistical machine translation system to produce alternative translations and a large monolingual corpus to (re)rank these translations. Our results show that this combination yields better translations, especially when translating out-of-domain phrases/sentences. Our approach can be also used to automatically construct parallel corpora from monolingual resources.
%U https://aclanthology.org/2002.amta-papers.16/
%P 155-164

Markdown (Informal)

[Using a large monolingual corpus to improve translation accuracy](https://aclanthology.org/2002.amta-papers.16/) (Soricut et al., AMTA 2002)

• Using a large monolingual corpus to improve translation accuracy (Soricut et al., AMTA 2002)

ACL

• Radu Soricut, Kevin Knight, and Daniel Marcu. 2002. Using a large monolingual corpus to improve translation accuracy. In Proceedings of the 5th Conference of the Association for Machine Translation in the Americas: Technical Papers, pages 155–164, Tiburon, USA. Springer.