Problems of digital intercultural communication in Slavic languages

This study addresses the problem of interlingual digital communication on the Internet, with the focus on the quality of automated interLanguage translation. The primary aim is to investigate the quality of digitally translated texts from various Slavic languages into Russian. The research objectives are to identify the types of errors that cause communicative breakdowns and to explain the underlying reasons for these translation failures. To assess translation quality, a comprehensive comparative systemic-functional approach was employed. This methodology involves a comparative analysis of original SLavic-Language texts and their Russian translations, alongside an interpretation of translation failures that considers the systemic features of both the source Slavic languages and the intermediary language - English. The novelty of this research stems from its inclusion of multiple Slavic Languages in the analysis of digital translation, revealing how translation outcomes are influenced by English, the Language in which most digital translation systems are engineered. The corpus for analysis consisted of texts translated from Bulgarian, Polish, Czech, and other Slavic Languages. The comparative analysis established that communicative failures occur at aLL Linguistic Levels: Lexico-semantic, derivational, and grammatical, as weLL as at the Level of evaLuative and modaL framing of situations. The practical significance of the study Lies in assessing the quaLity of digitaL transLation, systematising transLation errors, identifying the Linguistic causes of digitaL transLation faiLures, and determining the socio-cuLturaL consequences of information distortion in digital translation in various domains. The findings indicate that improving digital translation models for Slavic Languages requires greater attention to their unique lexico-semantic, derivational, and grammatical specifics, as well as to the peculiarities of national realities and cultures.

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