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

Author

Listed:
  • 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)

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.‎

Suggested Citation

  • Nada Ahmed J. & Abdul Monem S. Rahma & Maha A. Hmmood Alrawi, 2019. "A Novel Coding and Discrimination (CODIS) ‎Algorithm to Extract Features from Arabic Texts to ‎Discriminate Arabic Poems," International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), IGI Global, vol. 11(1), pages 1-14, January.
    • Handle: RePEc:igg:japuc0:v:11:y:2019:i:1:p:1-14
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