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Application of the BERT-RusLit neural network model for creating educational corpora of literary texts in teaching Russian as a foreign language

https://doi.org/10.32517/0234-0453-2025-40-1-69-81

Abstract

The article presents a study of the potential of fiction in developing intercultural communication skills in students, and examines the possibilities of using neural networks to create text corpora used in teaching Russian as a foreign language. The relevance of the topic is due to the growing need for effective methods of developing intercultural competence in the context of globalization and digitalization of education. The aim of the research is to evaluate the effectiveness of using literary texts and neural network technologies for developing students’ ability to successfully engage in intercultural interaction. The study employs methods of content analysis, pedagogical experiment, and statistical data processing. The empirical basis consists of survey and test results from 120 students studying Russian as a foreign language. The main findings indicate a significant positive impact of reading fiction on the development of intercultural skills (28 % increase, p < 0,01) and the promising potential of using neural networks to generate educational text corpora (32 % increase in vocabulary diversity, p < 0,05). The results contribute to the methodology of teaching foreign languages and open new possibilities for the digitalization of educational resources. Further research may focus on studying the effectiveness of various literary genres and machine learning algorithms for achieving educational goals.

About the Authors

L. N. Lyubimtseva-Natalukha
Donetsk State Pedagogical University named after V. Shatalov
Russian Federation

Larisa N. Lyubimtseva-Natalukha, Doctor of Sciences (Philology), Docent, Professor at the Department of the World Literature and Comparative Literature Studies 

Gorlovka, Donetsk People’s Republic 



N. A. Zhikhareva
Donetsk State Pedagogical University named after V. Shatalov
Russian Federation

Nataliia A. Zhikhareva, Candidate of Sciences (Philology), Docent, Associate Professor at the Department of Romance and Germanic Philology, Dean of the Faculty of Philology 

Gorlovka, Donetsk People’s Republic 



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Review

For citations:


Lyubimtseva-Natalukha L.N., Zhikhareva N.A. Application of the BERT-RusLit neural network model for creating educational corpora of literary texts in teaching Russian as a foreign language. Informatics and education. 2025;40(1):69-81. (In Russ.) https://doi.org/10.32517/0234-0453-2025-40-1-69-81

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ISSN 0234-0453 (Print)
ISSN 2658-7769 (Online)