Benchmarking and assessing the performance of Arabic stemmers.
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| Title: | Benchmarking and assessing the performance of Arabic stemmers. |
|---|---|
| Authors: | Al-Kabi, Mohammed N.1 mohammedk@yu.edu.jo, Al-Radaideh, Qasem A.1, Akkawi, Khalid W.2 |
| Source: | Journal of Information Science. 04/01/2011, Vol. 37 Issue 2, p111-119. 9p. |
| Subject Terms: | *Algorithms, *Benchmarking (Management), *Information retrieval, Arabic language, Search engines |
| Abstract: | Previous studies on the stemming of the Arabic language lack fair evaluation, full description of algorithms used or access to the source code of the stemmers and the datasets used to evaluate such stemmers. Freeing source codes and datasets is an essential step to enable researchers to enhance stemmers currently in use and to verify the results of these studies. This study laid the foundation of establishing a benchmark for Arabic stemmers and presents an evaluation of four heavy (root-based) stemmers for the Arabic language. The evaluation aims to assess the accuracy of each of the four stemmers and to show the strength of each. The four algorithms are: Al-Mustafa stemmer, Al-Sarhan stemmer, Rabab’ah stemmer and Taghva stemmer. The accuracy and strength tests used in this study ranked Rabab’ah stemmer as the first followed by Al-Sarhan, Al-Mustafa, and Taghva stemmers respectively. [ABSTRACT FROM PUBLISHER] |
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| Database: | Education Research Complete |
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