GENESTEM: A novel approach for an Arabic stemmer using genetic algorithms

Anas Boubas, Leena Lulu, Boumediene Belkhouche, Saad Harous

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

6 Citations (Scopus)

Abstract

We use genetic algorithms and pattern matching to generate a morphological analyzer for Arabic verbs. Our approach consisted of developing general verb patterns and then applying these patterns to derive morphological rules. Except for some rare ambiguous cases, the resulting morphological analyzer is capable of recognizing all instances of verbs.

Original languageEnglish
Title of host publication2011 International Conference on Innovations in Information Technology, IIT 2011
Pages77-82
Number of pages6
DOIs
Publication statusPublished - Jul 11 2011
Event2011 International Conference on Innovations in Information Technology, IIT 2011 - Abu Dhabi, United Arab Emirates
Duration: Apr 25 2011Apr 27 2011

Publication series

Name2011 International Conference on Innovations in Information Technology, IIT 2011

Other

Other2011 International Conference on Innovations in Information Technology, IIT 2011
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period4/25/114/27/11

Keywords

  • Arabic Morphology
  • Genetic Algorithms
  • Machine Learning
  • Stemming

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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