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A Computational Approach to Recognizing Poetry Genres in Uzbek Texts

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

DOI

https://doi.org/10.1109/SIBIRCON63777.2024.10758540
Final published version

Davlatyor B. Mengliev
Vladimir B. Barakhnin
Bobur R. Saidov
Mukhammadjon Atakhanov
Mukhriddin O. Eshkulov
Bahodir B. Ibragimov

Original language	English
Title of host publication	2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2024
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	319-322
Number of pages	4
ISBN (Print)	9798331532024
DOIs	https://doi.org/10.1109/SIBIRCON63777.2024.10758540
Publication status	Published - 26 Nov 2024
Event	2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences - Новосибирск, Russian Federation Duration: 30 Sept 2024 → 2 Nov 2024

Publication series

Name	2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2024

Conference

Conference	2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences
Abbreviated title	SIBIRCON 2024
Country/Territory	Russian Federation
City	Новосибирск
Period	30.09.2024 → 02.11.2024

OECD FOS+WOS

1.02 COMPUTER AND INFORMATION SCIENCES

Research areas

Uzbek language, Uzbek poetry, algorithm development, computational linguistics, literary analysis, machine learning, natural language processing, poetic evaluation, poetry detection, text analysis

ID: 61787893