Sanjun Sun – författare

Sun, Liu, Moratto, and the team of contributors provide an in-depth exploration of the implications of artificial intelligence (AI) in the ever-evolving field of translation studies.

With key insights to inform future research on this rapidly evolving field in translation, this book offers a comprehensive understanding of the implications of AI, particularly ChatGPT, across technical, pedagogical, and ethical dimensions. From the evolution of translation competence and quality assessment to methodological shifts in research and pedagogy, the authors shed light on the capabilities and limitations of AI, offering insights into its potential within the realm of translation studies. With fresh perspectives on the intersection of AI and translation studies, the chapters cover critical topics such as evaluating translation quality, translator training, corpus translation studies, and ethical considerations in translation education.

By systematically unpacking the implications of AI, this book offers valuable insights for researchers, educators, and practitioners interested in translation and interpreting studies, machine-learning, and the role of AI in translator training and education.

Sun, Liu, Moratto, and the team of contributors provide an in-depth exploration of the implications of artificial intelligence (AI) in the ever-evolving field of translation studies.

With key insights to inform future research on this rapidly evolving field in translation, this book offers a comprehensive understanding of the implications of AI, particularly ChatGPT, across technical, pedagogical, and ethical dimensions. From the evolution of translation competence and quality assessment to methodological shifts in research and pedagogy, the authors shed light on the capabilities and limitations of AI, offering insights into its potential within the realm of translation studies. With fresh perspectives on the intersection of AI and translation studies, the chapters cover critical topics such as evaluating translation quality, translator training, corpus translation studies, and ethical considerations in translation education.

By systematically unpacking the implications of AI, this book offers valuable insights for researchers, educators, and practitioners interested in translation and interpreting studies, machine-learning, and the role of AI in translator training and education.

This book presents the latest theoretical and empirical advances in cognitive translation studies. It involves the modes of written translation, interpreting, sight translation, and computer-aided translation. In separate chapters, this book proposes a new analytical framework for studying keylogged translation processes, a framework that reconciles a sociological and a psychological approach for studying expertise in translation, and a pedagogical model of translation competence. It expands the investigation of cognitive processes by considering the role of emotional factors, reviews, and develops the effort models of interpreting as a didactic construct. The empirical studies in this book revolve around cognitive load and effort; they explore the influences of text factors (e.g., metaphors, complex lexical items, directionality) while taking into account translator factors and evaluate the user experience of computer-aided translation tools.