Correctness, Strength and Similarity Evaluation of Stemming Algorithms for Arabic | ||||
The Egyptian Journal of Language Engineering | ||||
Article 2, Volume 1, Issue 1, January 2014, Page 17-23 PDF (301.11 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/ejle.2014.59847 | ||||
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Authors | ||||
Daoud Daoud ![]() | ||||
1Princess Somaya University for Technology | ||||
2GETALP, LIG, Université Joseph Fourier, France | ||||
Abstract | ||||
In this paper, we present a comprehensive evaluation of four Arabic stemmers, based on metrics for correctness, strength and similarity. Two data sets were used in this study. For correctness evaluation, we used a list of 8697 Arabic words grouped into 1606 conceptual classes. For similarity and strength evaluation, we used a list of 72,000 unique Arabic words. Conclusions about correctness, strength and similarity of the four Arabic stemming algorithms are reported. | ||||
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