Three-level morphological analyzer for arabic verbs and particles

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

*Corresponding author for this work

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: Sept 1 2004Sept 3 2004

Publication series

NameProceedings of the Eighth IASTED International Conference on Artificial Intelligence and Soft Computing

Other

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

Keywords

  • Arabic processing
  • Computational linguistics
  • Morphological analysis

ASJC Scopus subject areas

  • General Engineering

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