Correctness, Strength and Similarity Evaluation of Stemming Algorithms for Arabic
Daoud, D., Boitet, C. (2014). Correctness, Strength and Similarity Evaluation of Stemming Algorithms for Arabic. EKB Journal Management System, 1(1), 17-23. doi: 10.21608/ejle.2014.59847
Daoud Daoud; Christian Boitet. "Correctness, Strength and Similarity Evaluation of Stemming Algorithms for Arabic". EKB Journal Management System, 1, 1, 2014, 17-23. doi: 10.21608/ejle.2014.59847
Daoud, D., Boitet, C. (2014). 'Correctness, Strength and Similarity Evaluation of Stemming Algorithms for Arabic', EKB Journal Management System, 1(1), pp. 17-23. doi: 10.21608/ejle.2014.59847
Daoud, D., Boitet, C. Correctness, Strength and Similarity Evaluation of Stemming Algorithms for Arabic. EKB Journal Management System, 2014; 1(1): 17-23. doi: 10.21608/ejle.2014.59847

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  XML PDF (301.11 K)
Document Type: Original Article
DOI: 10.21608/ejle.2014.59847
View on SCiNiTO View on SCiNiTO
Authors
Daoud Daoud email 1; Christian Boitet2
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.
Statistics
Article View: 177
PDF Download: 313