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

被引：0

作者：

Novikova, Marina L. ^{[1
]}

Novikov, Phillip N. ^{[2
]}

机构：

[1] Peoples Friendship Univ Russia, Russian Language & Cultural Studies Dept, Moscow, Russia

[2] Peoples Friendship Univ Russia, Foreign Languages Dept, Moscow, Russia

来源：

FILOLOGICHESKIE NAUKI-NAUCHNYE DOKLADY VYSSHEI SHKOLY-PHILOLOGICAL SCIENCES-SCIENTIFIC ESSAYS OF HIGHER EDUCATION | 2023年 / 06期

关键词：

artificial intelligence; machine learning; languages of the peoples of Russia; large language models;

D O I：

10.20339/PhS.6s-23.003

中图分类号：

H [语言、文字];

学科分类号：

05 ;

摘要：

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.

引用

页码：3 / 11

页数：9

共 25 条

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