Web-based arabic morphological analyzer

Jawad Berri, Hamza Zidoum, Yacine Atif

Research output: Contribution to journalArticle

2 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)389-400
Number of pages12
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2004
Publication statusPublished - 2001

Keywords

  • Exception rule
  • Matching algorithm
  • Morphological analyzer
  • Object-oriented model

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Web-based arabic morphological analyzer'. Together they form a unique fingerprint.

  • Cite this