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Adaptation of a Term Extractor to Arabic Specialised Texts: First Experiments and Limits

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Computational Linguistics and Intelligent Text Processing (CICLing 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9623))

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Abstract

In this paper, we present an adaptation to Modern Standard Arabic of a French and English term extractor. The goal of this work is to reduce the lack of resources and NLP tools for Arabic language in specialised domains. The adaptation firstly focuses on the description of extraction processes similar to those already defined for French and English while considering the morpho-syntactic specificity of Arabic. Agglutination phenomena are further taken into account in the term extraction process. The current state of the adapted system was evaluated on a medical text corpus. 400 maximal candidate terms were examined, among which 288 were correct (72% precision). An error analysis shows that term extraction errors are first due to Part-of-Speech tagging errors and the difficulties induced by non-diacritised texts, then to remaining agglutination phenomena.

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Notes

  1. 1.

    http://search.cpan.org/~thhamon/Lingua-YaTeA/.

  2. 2.

    noun-m-s-g-d: defined singular masculine noun in genitive case. noun-f-s-n-c: constructed singular feminine noun in nominative case.

  3. 3.

    http://www.nlm.nih.gov/medlineplus/languages/all_healthtopics.html.

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Authors and Affiliations

  1. LIMSI, CNRS, Université Paris-Saclay, 91405, Orsay, France

    Wafa Neifar, Thierry Hamon & Pierre Zweigenbaum

  2. MIRACL Laboratory, Sfax University, B.P-3018, Sfax, Tunisia

    Wafa Neifar, Mariem Ellouze Khemakhem & Lamia Hadrich Belguith

  3. Université Paris 13, Sorbonne Paris Cité, 93430, Villetaneuse, France

    Thierry Hamon

Authors
  1. Wafa Neifar
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  2. Thierry Hamon
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  3. Pierre Zweigenbaum
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  4. Mariem Ellouze Khemakhem
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  5. Lamia Hadrich Belguith
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Correspondence to Thierry Hamon .

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Editors and Affiliations

  1. CIC, Instituto Politécnico Nacional, Mexico City, Mexico

    Alexander Gelbukh

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Neifar, W., Hamon, T., Zweigenbaum, P., Khemakhem, M.E., Belguith, L.H. (2018). Adaptation of a Term Extractor to Arabic Specialised Texts: First Experiments and Limits. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2016. Lecture Notes in Computer Science(), vol 9623. Springer, Cham. https://doi.org/10.1007/978-3-319-75477-2_16

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  • DOI: https://doi.org/10.1007/978-3-319-75477-2_16

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