Information system for sounding Ukrainian-language text based on NLP methods and machine learnin

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2022

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This work is devoted to developing an information system for sounding Ukrainian-language text based on NLP methods and machine learning. The authors analyzed the pros and cons of the implemented software solutions for the Ukrainian-language text and took them into account during the implementation of the information system. Methods and frameworks that ensure theapplication's correct, fast and stable operation are also described. A user manual has been created for the correct use of the created system. All processes of using the program are shown, and the control example for productivity confirmation and work of the program is analyzed.

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Byelousov I. Information system for sounding Ukrainian-language text based on NLP methods and machine learnin / Illya Byelousov, Victoria Vysotska, Iryna Shakleina // Computational Linguistics and Intelligent Systems. – Lviv, 2022. – Volume 2 : Proceedings of the 6nd International conference, COLINS 2022. Workshop, Gliwice, Poland, May 12–13, 2022. – P. 153–175. – URL: https://colins.in.ua/wp-content/uploads/2022/07/VolumeII_Colins2022.pdf (дата звернення: 21.10.2022). – Bibliography: 12 titles.

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