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        <title>Exploiting Wikipedia as a Knowledge Base for the Extraction of Linguistic Resources: Application on Arabic-French Comparable Corpora and Bilingual Lexicons</title>
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    <name type="personal">
        <namePart type="given">Rahma</namePart>
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    <name type="personal">
        <namePart type="given">Fatiha</namePart>
        <namePart type="family">Sadat</namePart>
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    <name type="personal">
        <namePart type="given">Lamia</namePart>
        <namePart type="family">Hadrich Belguith</namePart>
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        <dateIssued>2012-nov 1</dateIssued>
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            <title>Fourth Workshop on Computational Approaches to Arabic-Script-based Languages</title>
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            <namePart type="given">Ali</namePart>
            <namePart type="family">Farghaly</namePart>
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        <name type="personal">
            <namePart type="given">Farhad</namePart>
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    <abstract>We present simple and effective methods for extracting comparable corpora and bilingual lexicons from Wikipedia. We shall exploit the large scale and the structure of Wikipedia articles to extract two resources that will be very useful for natural language applications. We build a comparable corpus from Wikipedia using categories as topic restrictions and we extract bilingual lexicons from inter-language links aligned with statistical method or a combined statistical and linguistic method.</abstract>
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            <start>72</start>
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%0 Conference Proceedings
%T Exploiting Wikipedia as a Knowledge Base for the Extraction of Linguistic Resources: Application on Arabic-French Comparable Corpora and Bilingual Lexicons
%A Sellami, Rahma
%A Sadat, Fatiha
%A Hadrich Belguith, Lamia
%Y Farghaly, Ali
%Y Oroumchian, Farhad
%S Fourth Workshop on Computational Approaches to Arabic-Script-based Languages
%D 2012
%8 nov 1
%I Association for Machine Translation in the Americas
%C San Diego, California, USA
%F sellami-etal-2012-exploiting
%X We present simple and effective methods for extracting comparable corpora and bilingual lexicons from Wikipedia. We shall exploit the large scale and the structure of Wikipedia articles to extract two resources that will be very useful for natural language applications. We build a comparable corpus from Wikipedia using categories as topic restrictions and we extract bilingual lexicons from inter-language links aligned with statistical method or a combined statistical and linguistic method.
%U https://aclanthology.org/2012.amta-caas14.10/
%P 72-79

Markdown (Informal)

[Exploiting Wikipedia as a Knowledge Base for the Extraction of Linguistic Resources: Application on Arabic-French Comparable Corpora and Bilingual Lexicons](https://aclanthology.org/2012.amta-caas14.10/) (Sellami et al., AMTA 2012)

• Exploiting Wikipedia as a Knowledge Base for the Extraction of Linguistic Resources: Application on Arabic-French Comparable Corpora and Bilingual Lexicons (Sellami et al., AMTA 2012)

ACL

• Rahma Sellami, Fatiha Sadat, and Lamia Hadrich Belguith. 2012. Exploiting Wikipedia as a Knowledge Base for the Extraction of Linguistic Resources: Application on Arabic-French Comparable Corpora and Bilingual Lexicons. In Fourth Workshop on Computational Approaches to Arabic-Script-based Languages, pages 72–79, San Diego, California, USA. Association for Machine Translation in the Americas.