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Analyzing the potential of using large language models for languages of peoples of the Russian Federation and the CIS in the modern digital space

M.L. Novikova, F.N. Novikov
$2.50

UDC 81`2:004.8

DOI 10.20339/PhS.6s-23.003     

 

Novikova Marina L.,

Doctor of Philology,

Professor of the Russian Language and Cultural Studies Department

Peoples’ Friendship University of Russia named after Patrice Lumumba

e-mail: novikova-ml@rudn.ru

Novikov Phillip N.,

Candidate of Philology,

Associate Professor of the Foreign Languages Department

Peoples’ Friendship University of Russia named after Patrice Lumumba

e-mail: philippnovikov@gmail.com

 

In the timeframe from 2022 to 2023, the progress in the development of large language models, based on machine learning and neural network technologies, also referred to as “artificial intelligence”, reached an unprecedented level. This facilitated making a significant leap for the application of natural language processing algorithms to both science and everyday life. The article examines the potential and current challenges of using these technologies with respect to the languages of the peoples of the Russian Federation and the CIS in the modern digital environment. The study touches upon such areas as translation, linguistic analysis, language popularization, and development of original language online services.

Keywords: artificial intelligence, machine learning, languages of the peoples of Russia, large language models.

 

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