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Automatic Summarization

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Natural Language Processing of Semitic Languages

Abstract

This chapter addresses automatic summarization of Semitic languages. After a presentation of the theoretical background and current challenges of automatic summarization, we present different approaches suggested to cope with these challenges. The main approaches dealing with Semitic languages (mainly Arabic, Hebrew, Maltese and Amharic) are then discussed. Finally, a case study of a specific Arabic automatic summarization system is presented.

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Notes

  1. 1.

    http://www.nlpir.nist.gov/projects/duc/ http://www.nist.gov/tac/

  2. 2.

    http://www.daralhayat.com

  3. 3.

    http://www.qamus.org:80/transliteration.htm

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Authors and Affiliations

  1. ANLP Research Group, MIRACL Laboratory, FSEGS, University of Sfax, 1088, 3018, Sfax, Tunisia

    Lamia Hadrich Belguith, Mariem Ellouze, Maher Jaoua & Fatma Kallel Jaoua

  2. LPL Laboratory, 5 avenue Pasteur, CP 13100, Aix-en-Provence, France

    Mohamed Hedi Maaloul & Philippe Blache

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  1. Lamia Hadrich Belguith
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  2. Mariem Ellouze
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  3. Mohamed Hedi Maaloul
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  4. Maher Jaoua
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Correspondence to Lamia Hadrich Belguith .

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    Imed Zitouni

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Belguith, L.H., Ellouze, M., Maaloul, M.H., Jaoua, M., Jaoua, F.K., Blache, P. (2014). Automatic Summarization. In: Zitouni, I. (eds) Natural Language Processing of Semitic Languages. Theory and Applications of Natural Language Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45358-8_12

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