@inproceedings{7eacde74a57f44fa9a894b84fdec94ea,
title = "GENESTEM: A novel approach for an Arabic stemmer using genetic algorithms",
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.",
keywords = "Arabic Morphology, Genetic Algorithms, Machine Learning, Stemming",
author = "Anas Boubas and Leena Lulu and Boumediene Belkhouche and Saad Harous",
year = "2011",
doi = "10.1109/INNOVATIONS.2011.5893872",
language = "English",
isbn = "9781457703140",
series = "2011 International Conference on Innovations in Information Technology, IIT 2011",
pages = "77--82",
booktitle = "2011 International Conference on Innovations in Information Technology, IIT 2011",
note = "2011 International Conference on Innovations in Information Technology, IIT 2011 ; Conference date: 25-04-2011 Through 27-04-2011",
}