The Russian National Corpus in teaching Russian and related disciplines (review)
https://doi.org/10.30515/0131-6141-2026-87-2-46-56
Abstract
The electronic collection of authentic texts of the Russian National Corpus (RNC) is among the largest in the world. This free resource is representative, annotated, and accessible without registration. Moreover, the RNC is considered an essential tool for school and university teachers of Russian. However, contrary to this popular opinion often found in scientific papers, it is difficult to evaluate the extent to which educators have mastered the corpus. This review article aims to determine the relevance level of the RNC in teaching Russian and subjects related to it at all levels of the Russian educational system. The goal is achieved by analysing pertinent research literature published over the past six years. Additionally, the paper attempts to estimate the efficiency of corpus-based methods and techniques for the learning process. The search for Russian-language scientific publications was conducted with the Google Scholar web search engine and in the Russian Scientific Electronic Library (eLibrary.RU) using a set of keywords and phrases. The results demonstrate that the overwhelming majority of studies are outside the scope of this review article since they focus on teaching Russian as a foreign language or linguistic research. The final sample includes 62 papers dating between 2019 and 2024. The detailed analysis performed during the research detected a negative trend, i. e., a decline in the number of publications on this topic over the years. Moreover, only one study from the collected data described a pedago gical experiment, which makes it impossible to determine the effectiveness of corpus-based methods and techniques in teaching Russian. Thus, even 20 years after the launch of the RNC project, corpus-based teaching of Russian remains an extremely promising direction for both Russian language teaching methodology and modern linguistics.
About the Author
A. N. OveshkovaRussian Federation
Anna N. Oveshkova, Candidate of Sciences (Philology), Associate Professor, Senior Researcher at the Department of Theoretical Linguistics and Academic Communications
Ekaterinburg
References
1. Izyumskaya V. V. Modern corpus linguistics: trends and prospects. Vestnik Moskovskogo gosudarstvennogo lingvisticheskogo universiteta. Gumanitarnye nauki = Vestnik of Moscow State Linguistic University. Humanities. 2023;8(876):27–33. (In Russ.) https://doi.org/10.52070/2542-2197_2023_8_876_27.
2. Kogan M. S. Corpus Linguodidactics in the context of Open Educational Resources Paradigm. Computational Linguistics and Computational Ontologies. Vol.6 (Proceedings of the XXV International Joint Scientific Conference "Internet and Modern Society", IMS-2022, St. Petersburg, June 23-24, 2022). St. Petersburg: ITMO University, 2022. P. 63–75. (In Russ.) https://doi.org/10.17586/2541-9781-2022-6-63-75.
3. Lebedeva M. Yu., Veselovskaya T. S., Zhiltsova L. Yu. et al. Lexical profiles of Russian text books for L1 and L2 learners: Comparative corpus study. Komp’yuternaya lingvistika i intellektual’nye tekhnologii: Po materialam ezhegodnoi mezhdunarodnoi konferentsii "Dialog" (Moskva, 17–20 iyunya 2020 g.) = Computational Linguistics and Intellectual Technologies: Proceedings of the Annual International Conference "Dialogue" (Moscow, 17–20 June, 2020). Iss. 19, Suppl. vol. Moscow: RSUH, 2020. P. 1036–1048. (In Russ.) https://doi.org/10.28995/2075-7182-2020-19-1036-1048.
4. Mrochko L. V., Roshchina T. M., Roshchin N. S. "Pros" and "cons" of remote learning in the context of a pandemic (what did the survey of first-year students of Moscow universities show). Ekonomicheskie i sotsial`no-gumanitarnye issledova niya = Economic and social research. 2020;(2):142–146. (In Russ.) https://doi.org/10.24151/2409-1073-2020-2-142-146.
5. Olkhovskaya A. I. Using corpus data in teaching Russian. Vestnik Tomskogo gosudarstvennogo pedagogicheskogo universiteta = Tomsk State Pedagogical University Bulletin. 2019;(2):98–107. (In Russ.) https://doi.org/10.23951/1609-624X-2019-2-98-107.
6. Olkhovskaya A. I., Paramonova M. K. Cor pus in teaching Russian language and literature. Rhema. 2019;(1):93–123. (In Russ.) http://doi.org/10.31862/2500-2953-2019-1-93-123.
7. Savchuk S. O. The educational corpus of the RNC as valuable resource for educators. Trudy Instituta russkogo yazyka imeni V. V. Vinogradova = Trudy IRY RAS. 2024;(4):170–199. (In Russ.) https://doi.org/10.31912/pvrli-2024.4.10.
8. Data-driven learning for the next generation: Corpora and DDL for pre-tertiary learners / Crosth waite P. (ed.). London: Routledge, 2019. 254 p. (In Engl.) https://doi.org/10.4324/9780429425899 [Crosthwaite 2019].
9. Kogan M., Zakharov V., Popova N., Almazova N. The impact of corpus linguistics on language teaching in Russia’s educational context: System atic literature review / / Learning and Collaboration Technologies. Designing, Developing and Deploying Learning Experiences. HCII 2020. Lecture Notes in Computer Science / P. Zaphiris, A. Ioannou (eds.). Cham: Springer, 2020. Vol. 12205. P. 339–355. (In Engl.) https://doi.org/10.1007/978-3-030-50513-4_26.
10. Maican M.-A., Cocoradă E. Online fo reign language learning in higher education and its correlates during the COVID-19 pandemic. Sustainability. 2021;13(2):781. (In Engl.) https://doi.org/10.3390/su13020781.
11. Pikhart M., Klimova B., Cierniak-Emerych A. et al. A Comparative Analysis of Perceived Advan tages and Disadvantages of Online Learning. Beha vioral Sciences. 2023;13(3):262. (In Engl.) https://doi.org/10.3390/bs13030262.
Review
For citations:
Oveshkova A.N. The Russian National Corpus in teaching Russian and related disciplines (review). Russian language at school. 2026;87(2):46-56. (In Russ.) https://doi.org/10.30515/0131-6141-2026-87-2-46-56
JATS XML































