Three-level morphological analyzer for arabic verbs and particles

Fatima T. Al-Raisi, Anisa M. Al-Hafeedh, Salha M. Al-Farsi, Hamza Z. Zidoum

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a Three-level Morphological Analyzer (MA). Our approach consists of mimicking morphology processing carried out by a human linguist expert. Hence, a great emphasis is put on the analysis and representation of Arabic linguistic rules. This step is very crucial in order to come up with a reliable MA. In the Three-level MA, surface words (tokens) undergo stemming to produce corresponding stems. Roots are then generated from resultant stems. A multi-affix approach is considered when stemming tokens. The stemming algorithm performs iterative light stemming which strips a part of the prefix/suffix. Indeed, from the linguistic point of view, a prefix/suffix is not just one string of characters. It is rather a combination of letters that may represent a number of distinct entities. Light stemming helps extracting information from each prefix/suffix by considering each separately. The root generating algorithm identifies the form of a stem, wherefrom, it extracts the root. The root generating algorithm manipulates deviated stems for unified treatment purposes. The MA is equipped with a comprehensive coverage lexicon to ensure correctness of results.

Original languageEnglish
Title of host publicationProceedings of the Eighth IASTED International Conference on Artificial Intelligence and Soft Computing
EditorsA.P. Pobil
Pages41-47
Number of pages7
Publication statusPublished - 2004
EventProceedings of the Eighth IASTED International Conference on Atificial Intelligence and Soft Computing - Marbella, Spain
Duration: Sep 1 2004Sep 3 2004

Other

OtherProceedings of the Eighth IASTED International Conference on Atificial Intelligence and Soft Computing
CountrySpain
CityMarbella
Period9/1/049/3/04

Keywords

  • Arabic processing
  • Computational linguistics
  • Morphological analysis

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Al-Raisi, F. T., Al-Hafeedh, A. M., Al-Farsi, S. M., & Zidoum, H. Z. (2004). Three-level morphological analyzer for arabic verbs and particles. In A. P. Pobil (Ed.), Proceedings of the Eighth IASTED International Conference on Artificial Intelligence and Soft Computing (pp. 41-47)