Authors: Khudoyberdiev H.A, Kosimov A.A.
Authors
Khudoyberdiev H.A. – candidate of physical and mathematical sciences, associate professor, Department of Programming and Information Systems, Polytechnic Institute of Tajik Technical University, Khujand, Republic of Tajikistan, tajlingvo@gmail.com
Kosimov A.A. – candidate of technical sciences, senior teacher, Department of Programming and Information Systems, Politechnical institute of Tajik Technical University, Khujand, Republic of Tajikistan, abdunabi_kbtut@mail.ru
Annotation
The task of recognition of authors of works separately for classical and modern poetry, as well as modern prose is solved. The works are matched by a digital portrait, characterized by the distribution of the frequency of syllables in them. The effectiveness of applying the -classifier for identifying authors of text is established.
Key words
Tajik language, text, poetry, prose, frequency, syllable, classifier, recognition of authorship.
Language
English
Type of article
scientific
Year
2020
Page
34-46
References
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Publication date
Dushanbe,05 Jun 2023