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

    7 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 - 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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