Entropy -in the Kurdish poem for the poets (Fayaq Bekkas) and (Goran)

Main Article Content

Nazeera Sedeek Kareem

Keywords

Fayaq Bekkas, Kurdish poem, mathematics

Abstract

Information theory is a major branch of applied mathematics that is based on probability theory and statistics. It is used in engineering, computer science, mathematics, physics, technology, psychology, etc. This idea was created by (Claude Elwood Shannon) in 1948, and then evolved into a theory used in scientific research analyzes. The most important unit of information measurement is entropy, everything in the universe begins to adapt and eventually changes to randomness and chaos. Entropy is a measure of this change and is a measure of randomness, chaos and doubt. In the Statistic science entropy is a measure of uncertainty and is used as a statistical analysis in scientific research and literature, but not used in Kurdish research for this reason we used this analysis for Kurdish literature .The poem is an expression of the inner feelings and depths of the poet, which are biological reactions related to the external influences that lead to showing the energy of the internal changes of the poet and expressing the words which it has an effect on the sense of others. This analysis is of the patriotic feelings of the poet Faiq Bekas in his poem (EY WATAN) which means (oh homeland) and the emotional romantic feelings of the poet Abdullah Goran in his poem (BE JWANI BE NAW) which means (the beautiful namelessIn this study, we used theories of information theory (entropy analysis) and (Shannon-Fano entropy) by (Shannon Fano-codin). We concluded from the analysis of entropy that the poet Faiq Bekas had (72.354%) of national sentiments and poet Abdullah Goran had (65%) of emotional romantic feelings. In order to achieve the significance of the results, we used the t-test and the results are (0.017) and (0.001).


 

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References

1] Andrew Rodriguez(2015) Information Processing and Learning Lecture 15March17 Lecturer: Aarti Singh 10-704
[2] Bottou, L., Howard, P. G., and Bengio, Y. (1998) "The Z-coder adaptive binary coder. In Proceedings of the Data Compression" Conference, Snow- bird, Utah, March( 1998 , pp. 13-22.
[3] Claude Elwood ,( 2009)"Elements of Information( Theory Probability and Computing)" Bell System TechnicalJ ournal Fall 15-359.
[4] C.E. Shannon, (1948) "A Mathematical Theory of Communication", Bell System Technical Journal, vol. 27, pp. 379–423, 623-656, July, October,.
[5] Cover, T. M., and Thomas, J. A. (1991)" Elements of Information Theory".New York: Wiley.
[6]David J. C. MacKay. "Information Theory, Inference, and Learning Algorithms" Cambridge University Press, 2003. ISBN 0-521-64298-1
[7] Gallager, R. G. (1968)" Information Theory, Shannon entropy and Reliable Communication".New York: Wiley.
[8] Jurafsky and Martin,(2006) "Using Entropy for Evaluating and Comparing Probability Distributions "section 6.7 Manning and Schutze, Section 2.2
[9] McEliece, R. J. (1977) "The Theory of Information and Coding" A Mathematical Framework for Communication. Reading, Mass.: Addison-Wesley.
[10] Thomas M. (2006). "Chapter 5 Data Compression". Elements of Information Theory. John Wiley & Sons. ISBN 0-471-24195-4
[11]Tom Carter,2011 "An introduction to information theory and Shannon entropy " http://astarte.csustan.edu tom/SFI-CSSS Complex Systems Summer School Santa Fe
[12) Venkatesan Guruswami David Witmer January 17, 2013]Information Theory and Applications in TCS
[13]Yao Xie," Information Theory"(2010) ECE587, Duke University
[14] Zimmerman Andrew Jones, Anne Marie Helmenstine, ( 2017) "How to Calculate Entropy Meaning of Entropy in Physics[Laws of Thermodynamics as Related to Biology]". Ph.D July 10
سەرچاوە كوردیەكان
1-محمدی مەلا كریم ( 1980 ) دیوانی بێكەس ,مطبعة الاديب البغدادية
2-محمدی مەلا كریم ( 1980 ) دیوانی گۆران ,مطبعة الوطنية بغداد