<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="semmar-laib-2017-building">
    <titleInfo>
        <title>Building Multiword Expressions Bilingual Lexicons for Domain Adaptation of an Example-Based Machine Translation System</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Nasredine</namePart>
        <namePart type="family">Semmar</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Mariama</namePart>
        <namePart type="family">Laib</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2017-09</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Ruslan</namePart>
            <namePart type="family">Mitkov</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Galia</namePart>
            <namePart type="family">Angelova</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>INCOMA Ltd.</publisher>
            <place>
                <placeTerm type="text">Varna, Bulgaria</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>We describe in this paper a hybrid ap-proach to build automatically bilingual lexicons of Multiword Expressions (MWEs) from parallel corpora. We more specifically investigate the impact of using a domain-specific bilingual lexicon of MWEs on domain adaptation of an Example-Based Machine Translation (EBMT) system. We conducted experiments on the English-French language pair and two kinds of texts: in-domain texts from Europarl (European Parliament proceedings) and out-of-domain texts from Emea (European Medicines Agency documents) and Ecb (European Central Bank corpus). The obtained results indicate that integrating domain-specific bilingual lexicons of MWEs improves translation quality of the EBMT system when texts to translate are related to the specific domain and induces a relatively slight deterioration of translation quality when translating general-purpose texts.</abstract>
    <identifier type="citekey">semmar-laib-2017-building</identifier>
    <identifier type="doi">10.26615/978-954-452-049-6_085</identifier>
    <part>
        <date>2017-09</date>
        <extent unit="page">
            <start>661</start>
            <end>670</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Building Multiword Expressions Bilingual Lexicons for Domain Adaptation of an Example-Based Machine Translation System
%A Semmar, Nasredine
%A Laib, Mariama
%Y Mitkov, Ruslan
%Y Angelova, Galia
%S Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017
%D 2017
%8 September
%I INCOMA Ltd.
%C Varna, Bulgaria
%F semmar-laib-2017-building
%X We describe in this paper a hybrid ap-proach to build automatically bilingual lexicons of Multiword Expressions (MWEs) from parallel corpora. We more specifically investigate the impact of using a domain-specific bilingual lexicon of MWEs on domain adaptation of an Example-Based Machine Translation (EBMT) system. We conducted experiments on the English-French language pair and two kinds of texts: in-domain texts from Europarl (European Parliament proceedings) and out-of-domain texts from Emea (European Medicines Agency documents) and Ecb (European Central Bank corpus). The obtained results indicate that integrating domain-specific bilingual lexicons of MWEs improves translation quality of the EBMT system when texts to translate are related to the specific domain and induces a relatively slight deterioration of translation quality when translating general-purpose texts.
%R 10.26615/978-954-452-049-6_085
%U https://doi.org/10.26615/978-954-452-049-6_085
%P 661-670

Markdown (Informal)

[Building Multiword Expressions Bilingual Lexicons for Domain Adaptation of an Example-Based Machine Translation System](https://doi.org/10.26615/978-954-452-049-6_085) (Semmar & Laib, RANLP 2017)

• Building Multiword Expressions Bilingual Lexicons for Domain Adaptation of an Example-Based Machine Translation System (Semmar & Laib, RANLP 2017)

ACL

• Nasredine Semmar and Mariama Laib. 2017. Building Multiword Expressions Bilingual Lexicons for Domain Adaptation of an Example-Based Machine Translation System. In Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017, pages 661–670, Varna, Bulgaria. INCOMA Ltd..