Linguistic and Stylistic Issues of Translation Processes in the Era of Artificial Intelligence

Abstract

This article analyzes linguistic and stylistic problems that arise in translation processes in the age of artificial intelligence, particularly through neural machine translation and large language models. The study acknowledges the advantages of AI-assisted translation, including speed, multilingual processing and the production of preliminary drafts. However, the main focus is placed on semantic ambiguity, contextual misinterpretation, literal rendering of idiomatic expressions, inconsistency in terminology, stylistic neutralization and the loss of cultural connotations. The article proposes an analytical model for assessing translation quality based on linguistic, stylistic and pragmatic criteria. The findings indicate that artificial intelligence can function as an effective auxiliary tool in translation, but human translators and post-editing remain essential in literary, academic, legal, medical and journalistic texts