A Novel Coding and Discrimination (CODIS) ‎Algorithm to Extract Features from Arabic Texts to ‎Discriminate Arabic Poems

Nada Ahmed J., Abdul Monem S. Rahma and Maha A. Hmmood Alrawi
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Nada Ahmed J.: MOP, Baghdad, Iraq
Abdul Monem S. Rahma: Computer Science Department, University of Technology, Baghdad, Iraq
Maha A. Hmmood Alrawi: Department of Production Engineering and metallurgy, University of Technology, Baghdad, Iraq

International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), 2019, vol. 11, issue 1, 1-14

Abstract: This article proposes a new algorithm to ‎discriminate Arabic poems by inserting Arabic poems ‎texts and coding Arabic letters, extracting letters features ‎depending on letter shapes to construct a multidimensional ‎contingency table, and analyses the frequencies of letters in ‎the inserted texts statistically. The proposed coding and ‎discrimination (CODIS) algorithm could be applied for ‎different Arabic texts in any media. A sample of five poems ‎for six poets was examined to implement a CODIS algorithm. ‎A Chi-Square statistic is used to determine the relation between ‎the features and discriminate poems.‎

Date: 2019
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