<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="fujii-ishikawa-2000-applying">
    <titleInfo>
        <title>Applying machine translation to two-stage cross-language information retrieval</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Atsushi</namePart>
        <namePart type="family">Fujii</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Tetsuya</namePart>
        <namePart type="family">Ishikawa</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2000-oct&quot; 10-14&quot;</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Fourth Conference of the Association for Machine Translation in the Americas: Technical Papers</title>
        </titleInfo>
        <originInfo>
            <publisher>Springer</publisher>
            <place>
                <placeTerm type="text">Cuernavaca, Mexico</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>Cross-language information retrieval (CLIR), where queries and documents are in different languages, needs a translation of queries and/or documents, so as to standardize both of them into a common representation. For this purpose, the use of machine translation is an effective approach. However, computational cost is prohibitive in translating large-scale document collections. To resolve this problem, we propose a two-stage CLIR method. First, we translate a given query into the document language, and retrieve a limited number of foreign documents. Second, we machine translate only those documents into the user language, and re-rank them based on the translation result. We also show the effectiveness of our method by way of experiments using Japanese queries and English technical documents.</abstract>
    <identifier type="citekey">fujii-ishikawa-2000-applying</identifier>
    <location>
        <url>https://link.springer.com/chapter/10.1007/3-540-39965-8_2</url>
    </location>
    <part>
        <date>2000-oct&quot; 10-14&quot;</date>
        <extent unit="page">
            <start>13</start>
            <end>24</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Applying machine translation to two-stage cross-language information retrieval
%A Fujii, Atsushi
%A Ishikawa, Tetsuya
%S Proceedings of the Fourth Conference of the Association for Machine Translation in the Americas: Technical Papers
%D 2000
%8 oct" 10 14"
%I Springer
%C Cuernavaca, Mexico
%F fujii-ishikawa-2000-applying
%X Cross-language information retrieval (CLIR), where queries and documents are in different languages, needs a translation of queries and/or documents, so as to standardize both of them into a common representation. For this purpose, the use of machine translation is an effective approach. However, computational cost is prohibitive in translating large-scale document collections. To resolve this problem, we propose a two-stage CLIR method. First, we translate a given query into the document language, and retrieve a limited number of foreign documents. Second, we machine translate only those documents into the user language, and re-rank them based on the translation result. We also show the effectiveness of our method by way of experiments using Japanese queries and English technical documents.
%U https://link.springer.com/chapter/10.1007/3-540-39965-8_2
%P 13-24

Markdown (Informal)

[Applying machine translation to two-stage cross-language information retrieval](https://link.springer.com/chapter/10.1007/3-540-39965-8_2) (Fujii & Ishikawa, AMTA 2000)

• Applying machine translation to two-stage cross-language information retrieval (Fujii & Ishikawa, AMTA 2000)

ACL

• Atsushi Fujii and Tetsuya Ishikawa. 2000. Applying machine translation to two-stage cross-language information retrieval. In Proceedings of the Fourth Conference of the Association for Machine Translation in the Americas: Technical Papers, pages 13–24, Cuernavaca, Mexico. Springer.