Translation Studies In The Age Of Artificial Intelligence
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Translation Studies in the Age of Artificial Intelligence
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.
Translation Studies in the Age of Artificial Intelligence
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.
Machine translation for everyone
Author: Dorothy Kenny
language: en
Publisher: BoD – Books on Demand
Release Date: 2022-07-01
Language learning and translation have always been complementary pillars of multilingualism in the European Union. Both have been affected by the increasing availability of machine translation (MT): language learners now make use of free online MT to help them both understand and produce texts in a second language, but there are fears that uninformed use of the technology could undermine effective language learning. At the same time, MT is promoted as a technology that will change the face of professional translation, but the technical opacity of contemporary approaches, and the legal and ethical issues they raise, can make the participation of human translators in contemporary MT workflows particularly complicated. Against this background, this book attempts to promote teaching and learning about MT among a broad range of readers, including language learners, language teachers, trainee translators, translation teachers, and professional translators. It presents a rationale for learning about MT, and provides both a basic introduction to contemporary machine-learning based MT, and a more advanced discussion of neural MT. It explores the ethical issues that increased use of MT raises, and provides advice on its application in language learning. It also shows how users can make the most of MT through pre-editing, post-editing and customization of the technology.