Full Description
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.
Contents
Introduction: Navigating the Paradigm Shift-Translation Studies in the Age of AI
Sanjun Sun, Kanglong Liu, and Riccardo Moratto
1 Transforming Translation: The Evolution and Impact of AI on Language Transfer and Communication
Donald A. DePalma and Arle Lommel
2 Reframing Translation Expertise for the AI Era
Sanjun Sun and Ricardo Muñoz Martín
3 Localization in the AI Era 62
Nick Lambson and Lintao Han
4 Corpus-based Translation and Interpreting Studies in the Age of AI: Innovations and Challenges
Han Xu and Yujie Huang
5 Translation Pedagogy in the AI Era: Design and Application of a ChatGPT-Powered Platform for Training and Feedback
Simin Xu, Yifeng Sun, Yanfang Su, and Kanglong Liu
6 ChatGPT in Professional Translation: A Double-Edged Sword - Insights from Chinese Translators on Capabilities, Concerns, and Future Prospects
Yining Shi, Han Xu, Ho Ling Kwok, and Kanglong Liu
7 Human Expertise vs AI Efficiency: A Comparative Analysis of Student and ChatGPT Post-editing
Menglu Li and Dechao Li
8 AI and Audiovisual Translation: Evaluating the Roles of GenAI Platforms and Prompts in Automatic Subtitling
Zhuojia Chen and Zhiwei Wu
9 Cognitive Processes of Post‑editing Generative AI: Examining Student Translators' Interactions with ChatGPT Outputs
Longhui Zou, Michael Carl, and Jia Feng
10 Ethical Issues in Translation Education in the AI Era
Bo Li and Yuan Liu
