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

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.