Web-Based Arabic Morphological Analyzer

  • Authors:
  • Jawad Berri;Hamza Zidoum;Yacine Atif

  • Affiliations:
  • -;-;-

  • Venue:
  • CICLing '01 Proceedings of the Second International Conference on Computational Linguistics and Intelligent Text Processing
  • Year:
  • 2001

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Abstract

This paper presents an Arabic morphological analyzer1 that is a component of an architecture which can process unrestricted text from Internet. The morphological analyzer uses an object-oriented model to represent the morphological rules for verbs and nouns, a matching algorithm to isolate the affixes and the root of a given word-form, and a linguistic knowledge base consisting in lists of words. The morphological rules fall into two categories: the regular morphological rules of the Arabic grammar and the exception rules that represent the language exceptions. The representation and the implementation of these rules and the matching algorithm are discussed in this paper.