Comparative Analysis of Using Different Parts of Speech in the Ukrainian Texts Based on Stylistic Approach

The work aims to analyse words of different parts of speech in Ukrainian texts to identify the speaker’s purpose of using certain parts of speech to express his opinion fully. Our analysis enables better recognition of written texts and the flow of the author’s thoughts by considering words of different parts of speech. In work, such analogous systems as Intelligent Ukrainian Text Processing System, Large Electronic Dictionary of the Ukrainian Language (VESUM), lang-uk microservices, NER annotated corpus, and tonal dictionary of the Ukrainian language is considered. The system is designed by incorporating use-case, states and activities diagrams together with program implementation tools such as Python, MySQL and Tkinter. In addition, the software which analyses Ukrainian texts and calculates the frequency of words of different parts of speech is presented. It also demonstrates the results of frequency comparison of other parts of speech based on texts of different styles and then creates diagrams showing its statistics.

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