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

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

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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Boubas, A, Lulu, L, Belkhouche, B, Harous, S
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Accuracy
Algorithm design and analysis
Arabic Morphology
Classification algorithms
Dictionaries
Engines
Genetic algorithms
Machine Learning
Morphology
Stemming
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Beschreibung
Zusammenfassung: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.
DOI:10.1109/INNOVATIONS.2011.5893872