Full Description
This book explores the transformative impact of artificial intelligence (AI) on the field of translation. As technology advances, AI-driven tools and methodologies are reshaping traditional translation workflows, redefining the roles of translators, and enhancing both efficiency and accuracy in translation tasks. Through comprehensive analyses and case studies, this book offers valuable insights into how AI is driving innovation in both translation practice and education, fostering a future where human creativity and technological advancements work in tandem to meet the demands of an increasingly globalized world.
Contents
Part I. Re-mapping the Landscape: From Practice to Paradigm.- Chapter 1. Large Language Model-driven Intelligent Translation: How New Technologies are Reshaping Translation Practices? (Huashu Wang).- Chapter 2. Hybrid Translation Production: The Whole-Process AI-Empowerment (Wenzhong He).- Chapter 3. Postdigital Translation in the Age of Algorithms: Implications for Practice and Pedagogy (Tong King Lee).- Part II. Quality, Evaluation and Translationese.- Chapter 4. Translationese: Can AI Refinement Techniques Completely Eradicate Translational Distortions? (Xu Bin).- Chapter 5. Comparing Generative AI and Traditional Machine Translation Systems: An Assessment of Computer Errors and the Human Post-editing Process (Kizito Tekwa).- Chapter 6. LLM-Based Machine Interpreting Evaluation: Implications for Interpreter Education in the Age of AI (Zixuan Wang).- Chapter 7. An Empirical Study on AI-Driven Evaluation of Student Translations Using Large Language Models (Peng Sirui).- Part III. Re-imagining the Classroom: Resources, Tasks, Engagement.- Chapter 8. Shifting the Translation Paradigm through AI-driven Approaches: A Case Study of Game Localization with LLMs (Lintao Han).- Chapter 9. Enhancing Translation Education with the AI-Integrated Corpus Platform: Design, Application, and Pedagogical Benefits (Simin Xu).- Chapter 10. Exploring Learner Engagement in AI-assisted Interpreting Training: A Multiple Case Mixed-Methods Study (Ting Yin).
