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Author Boubas, A. ♦ Lulu, L. ♦ Belkhouche, B. ♦ Harous, S.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2011
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science ♦ Technology ♦ Engineering & allied operations
Subject Keyword Algorithm design and analysis ♦ Arabic Morphology ♦ Dictionaries ♦ Accuracy ♦ Morphology ♦ Classification algorithms ♦ Genetic Algorithms ♦ Machine Learning ♦ Engines ♦ Genetic algorithms ♦ Stemming
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.
Description Author affiliation: Faculty of Information Technology, UAE University, Al Ain, UAE (Boubas, A.; Lulu, L.; Belkhouche, B.; Harous, S.)
ISBN 9781457703119
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2011-04-25
Publisher Place United Arab Emirates
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781457703140
Size (in Bytes) 355.92 kB
Page Count 6
Starting Page 77
Ending Page 82

Source: IEEE Xplore Digital Library