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Study and Resolution of Arabic Lexical Ambiguity Through Transduction on Text Automaton

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Automatic Processing of Natural-Language Electronic Texts with NooJ (NooJ 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 607))

Abstract

Lexical analysis can be a way to remove ambiguities in the Arabic language. So, their resolution is an important task in several domains of Natural Language Processing (NLP). In this context, this paper is inscribed. Our proposed resolution method is based essentially on the use of transducers on text automata. Indeed, these transducers specify the lexical rules of the Arabic language allowing corpus disambiguation. In order to achieve our resolution method, different types of lexical ambiguities are identified and studied. Then, an appropriate set of rules is proposed. After that, we represent all specified rules in NooJ. In addition, we present experimentation with NooJ platform conducted through various linguistic resources to obtain disambiguated syntactic structures suitable for the analysis. The results obtained are ambitious and can be improved by adding other rules and heuristics.

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Author information

Authors and Affiliations

  1. Higher Institute of Computer and Communication Technologies of Hammam Sousse, Miracl Laboratory, Sousse, Tunisia

    Nadia Ghezaiel

  2. Faculty of Sciences of Sfax, Miracl Laboratory, University of Sfax, Sfax, Tunisia

    Kais Haddar

Authors
  1. Nadia Ghezaiel
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  2. Kais Haddar
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Corresponding author

Correspondence to Nadia Ghezaiel .

Editor information

Editors and Affiliations

  1. United Institute of Informatics Problems , Minsk, Belarus

    Tatsiana Okrut

  2. United Institute of Informatics Problems , Minsk, Belarus

    Yuras Hetsevich

  3. Université de Franche-Comté , Paris, France

    Max Silberztein

  4. United Institute of Informatics Problems , Minsk, Belarus

    Hanna Stanislavenka

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© 2016 Springer International Publishing Switzerland

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Ghezaiel, N., Haddar, K. (2016). Study and Resolution of Arabic Lexical Ambiguity Through Transduction on Text Automaton. In: Okrut, T., Hetsevich, Y., Silberztein, M., Stanislavenka, H. (eds) Automatic Processing of Natural-Language Electronic Texts with NooJ. NooJ 2015. Communications in Computer and Information Science, vol 607. Springer, Cham. https://doi.org/10.1007/978-3-319-42471-2_11

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  • DOI: https://doi.org/10.1007/978-3-319-42471-2_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42470-5

  • Online ISBN: 978-3-319-42471-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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