Peculiarities and Adaptation of Big Data Technologies in Contemporary Translation Studies under High-Turbulence Environment and Systemic Risk

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Published: 06.09.2026

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Svitlana Krasniuk
Kyiv National University of Technologies and Design

Abstract

The article explores the specifics, features and directions of adaptation of Big Data technologies in modern translation studies in conditions of uncertainty, turbulence and systemic risks of the external environment. The possibilities of using big linguistic data for the analysis of corpora, terminology, translation quality and improvement of machine translation are determined. The prospects of integrating Big Data with artificial intelligence, machine learning and expert technologies for the formation of adaptive hybrid systems of modern translation studies are substantiated.

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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. 308 (2026): 8th ISPC «Progressive Science and Achievements» (September 6-8, 2026; Dallas, USA).

Section

Literary studies
Creative Commons License

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

Author Biography

Svitlana Krasniuk, Kyiv National University of Technologies and Design

Senior Lecturer, Department of philology and translation

How to Cite

Krasniuk, S. (2026). Peculiarities and Adaptation of Big Data Technologies in Contemporary Translation Studies under High-Turbulence Environment and Systemic Risk. Scientific Collection «InterConf», 308, 39–46. https://interconf.openpubarchive.com/index.php/proceeding/article/view/76

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