ANALYZING RUSSIAN BORROWINGS IN KAZAKH SOCIAL MEDIA USING MACHINE LEARNING


МАШИНАЛЫҚ ОҚЫТУМЕН ӘЛЕУМЕТТІК ЖЕЛІДЕГІ ҚАЗАҚ ТІЛІНІҢ ДАМУЫНА ОРЫС ТІЛІНДЕГІ СӨЗДЕРДІҢ ЫҚПАЛЫН ЗЕРТТЕУ
ИЗУЧЕНИЕ ВЛИЯНИЯ РУССКИХ СЛОВ НА РАЗВИТИЕ КАЗАХСКОГО ЯЗЫКА В СОЦИАЛЬНЫХ СЕТЯХ С ПОМОЩЬЮ МАШИННОГО ОБУЧЕНИЯ
Sapakova S.Z. Kambarova B.
2024Kazakh-British Technical University

Herald of the Kazakh British Technical UNiversity
2024#21Issue 491 - 106 pp.

This study explores the influence of Russian words on the development of the Kazakh language in social networks. The rapid advancement of information technology significantly impacts the language used in online communications. While the chaotic nature of online interactions can complicate language use and create confusion, it also accelerates the spread of information in Kazakh. This research examines how foreign words affect modern Kazakh internet discourse, including direct borrowings that enter the language without modification, mixed phrases that retain the lexical and semantic properties of foreign words, the emergence of new abbreviations, and the influence of barbarisms. The study utilizes machine learning methods to analyse social media content from Instagram and Facebook. This approach enabled the processing of over 100,000 posts, revealing key linguistic shifts associated with the integration of Russian borrowings into Kazakh. The use of machine learning algorithms, such as the Naive Bayes classifier, automated the data analysis process and uncovered hidden patterns, providing a deeper understanding of how these borrowings affect the Kazakh language in the digital environment.

barbarism , comments , communication , Internet , linguistics , machine learning , pragmatics

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International University of Information Technologies, Kazakhstan
Kazakh National Women’s Pedagogical University, Kazakhstan
Department of Philology, Kazakhstan

International University of Information Technologies
Kazakh National Women’s Pedagogical University
Department of Philology

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