SPECIFIC FEATURES AND DISTINCTIVE ASPECTS OF MACHINE LEARNING IN MODERN COMPUTATIONAL LINGUISTICS AMID SHIVA- AND WARMI-WORLD

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Published: 16.08.2026

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Svitlana Goncharenko
Kyiv National University of Technologies and Design image/svg+xml

Abstract

The article considers the features of the application of machine learning technologies in modern machine linguistics in the conditions of uncertainty, turbulence and systemic risks (SHIVA and WARMI concepts). The main directions of using machine learning methods in natural language processing, their advantages, limitations and development prospects are analyzed. The role of intelligent algorithms in the digital transformation of modern philology is shown.

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Data Availability Statement

All data supporting the findings of this study are presented in the text of the scientific work.

Issue

No. 305 (2026): 19th ISPC «Scientific Horizon in the Context of Social Crises» (August 16-18, 2026; Tokyo, Japan).

Section

Philology and Linguistics
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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Biography

Svitlana Goncharenko, Kyiv National University of Technologies and Design

Senior Lecturer, Department of Philology and Translation

How to Cite

Goncharenko, S. (2026). SPECIFIC FEATURES AND DISTINCTIVE ASPECTS OF MACHINE LEARNING IN MODERN COMPUTATIONAL LINGUISTICS AMID SHIVA- AND WARMI-WORLD. Scientific Collection «InterConf», 305, 155–161. https://interconf.openpubarchive.com/index.php/proceeding/article/view/49

References

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