StyGenAI is the first workshop dedicated specifically to the study of style in GenAI-translated content. Hosted at EAMT 2026, the workshop provides a focused forum for examining how large language models shape translated texts, how their outputs differ from both human translation and traditional MT, and how stylistic patterns emerge, stabilise, or drift across genres, languages, and prompting strategies.

While recent advances in Generative AI have significantly improved fluency and surface quality in translation, questions of style remain under-theorised and under-evaluated. StyGenAI addresses this gap by bringing together researchers and practitioners working on AI translation stylistics, evaluation methodologies, and impact of style on translators' practice s a result of human–AI interaction.

The workshop welcomes empirical, methodological, and conceptual contributions that explore stylistic regularities, deviations, and innovations in AI-generated translation, with particular attention to genre, language pair, prompting design, and human judgement.