<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="ferrero-etal-2017-deep">
    <titleInfo>
        <title>Deep Investigation of Cross-Language Plagiarism Detection Methods</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Jérémy</namePart>
        <namePart type="family">Ferrero</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Laurent</namePart>
        <namePart type="family">Besacier</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Didier</namePart>
        <namePart type="family">Schwab</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Frédéric</namePart>
        <namePart type="family">Agnès</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2017-08</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 10th Workshop on Building and Using Comparable Corpora</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Serge</namePart>
            <namePart type="family">Sharoff</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Pierre</namePart>
            <namePart type="family">Zweigenbaum</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Reinhard</namePart>
            <namePart type="family">Rapp</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Vancouver, Canada</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>This paper is a deep investigation of cross-language plagiarism detection methods on a new recently introduced open dataset, which contains parallel and comparable collections of documents with multiple characteristics (different genres, languages and sizes of texts). We investigate cross-language plagiarism detection methods for 6 language pairs on 2 granularities of text units in order to draw robust conclusions on the best methods while deeply analyzing correlations across document styles and languages.</abstract>
    <identifier type="citekey">ferrero-etal-2017-deep</identifier>
    <identifier type="doi">10.18653/v1/W17-2502</identifier>
    <location>
        <url>https://aclanthology.org/W17-2502</url>
    </location>
    <part>
        <date>2017-08</date>
        <extent unit="page">
            <start>6</start>
            <end>15</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Deep Investigation of Cross-Language Plagiarism Detection Methods
%A Ferrero, Jérémy
%A Besacier, Laurent
%A Schwab, Didier
%A Agnès, Frédéric
%Y Sharoff, Serge
%Y Zweigenbaum, Pierre
%Y Rapp, Reinhard
%S Proceedings of the 10th Workshop on Building and Using Comparable Corpora
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, Canada
%F ferrero-etal-2017-deep
%X This paper is a deep investigation of cross-language plagiarism detection methods on a new recently introduced open dataset, which contains parallel and comparable collections of documents with multiple characteristics (different genres, languages and sizes of texts). We investigate cross-language plagiarism detection methods for 6 language pairs on 2 granularities of text units in order to draw robust conclusions on the best methods while deeply analyzing correlations across document styles and languages.
%R 10.18653/v1/W17-2502
%U https://aclanthology.org/W17-2502
%U https://doi.org/10.18653/v1/W17-2502
%P 6-15

Markdown (Informal)

[Deep Investigation of Cross-Language Plagiarism Detection Methods](https://aclanthology.org/W17-2502) (Ferrero et al., BUCC 2017)

• Deep Investigation of Cross-Language Plagiarism Detection Methods (Ferrero et al., BUCC 2017)

ACL

• Jérémy Ferrero, Laurent Besacier, Didier Schwab, and Frédéric Agnès. 2017. Deep Investigation of Cross-Language Plagiarism Detection Methods. In Proceedings of the 10th Workshop on Building and Using Comparable Corpora, pages 6–15, Vancouver, Canada. Association for Computational Linguistics.