Title of article :
A novel root based Arabic stemmer
Author/Authors :
Al-Kabi, Mohammed N. Zarqa University - Faculty of Sciences and IT, Jordan , Kazakzeh, Saif A. Yarmouk University - IT CS Faculty - CIS Department, Jordan , Abu Ata, Belal M. Yarmouk University - IT CS Faculty - CIS Department, Jordan , Al-Rababah, Saif A. Al-albayt University - IT Faculty - Information Systems Department, Jordan , Alsmadi, Izzat M. Boise State University - Computer Science Department, USA
From page :
94
To page :
103
Abstract :
Stemming algorithms are used in information retrieval systems, indexers, text mining, text classifiers etc., to extract stems or roots of different words, so that words derived from the same stem or root are grouped together. Many stemming algorithms were built in different natural languages. Khoja stemmer is one of the known and widely used Arabic stemmers. In this paper, we introduced a new light and heavy Arabic stemmer. This new stemmer is presented in this study and compared with two well-known Arabic stemmers. Results showed that accuracy of our stemmer is slightly better than the accuracy yielded by each one of those two well-known Arabic stemmers used for evaluation and comparison. Evaluation tests on our novel stemmer yield 75.03% accuracy, while the other two Arabic stemmers yield slightly lower accuracy
Keywords :
Natural Language Processing (NLP) , Computational intelligence , Stemming , Information retrieval
Journal title :
Journal Of King Saud University - Computer an‎d Information Sciences
Journal title :
Journal Of King Saud University - Computer an‎d Information Sciences
Record number :
2713616
Link To Document :
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