Introduction The inherently dynamic nature of human communication entails adaptability in both spoken and written discourse, as individuals navigate diverse contexts and audiences. This linguistic malleability, commonly referred to as style, encompasses many of textual attributes including but not limited to formality, politeness, diction, and emotional tenor. Text style transfer (TST), a long-standing endeavor within the field of natural language processing (NLP), seeks to transform specific stylistic attributes while preserving the fundamental meaning of the text.