DocumentCode
1721566
Title
GENESTEM: A novel approach for an Arabic stemmer using genetic algorithms
Author
Boubas, Anas ; Lulu, Leena ; Belkhouche, Boumediene ; Harous, Saad
Author_Institution
Fac. of Inf. Technol., UAE Univ., Al Ain, United Arab Emirates
fYear
2011
Firstpage
77
Lastpage
82
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
computational linguistics; genetic algorithms; grammars; natural languages; string matching; Arabic stemmer; Arabic verb; GENESTEM; genetic algorithm; morphological rule; pattern matching; Accuracy; Algorithm design and analysis; Classification algorithms; Dictionaries; Engines; Genetic algorithms; Morphology; Arabic Morphology; Genetic Algorithms; Machine Learning; Stemming;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovations in Information Technology (IIT), 2011 International Conference on
Conference_Location
Abu Dhabi
Print_ISBN
978-1-4577-0311-9
Type
conf
DOI
10.1109/INNOVATIONS.2011.5893872
Filename
5893872
Link To Document