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Home › Books › How to Augment Language Skills: Generative AI...
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Book Info
PublishedJan 1, 2024
Edition1st Edition
LevelUndergraduate and Graduate
Applied Linguistics and Translation Studies

How to Augment Language Skills: Generative AI and Machine Translation in Language Learning and Translator Training

By Anthony Pym, Yu Hao

About This Book

This book explores the integration of generative artificial intelligence and machine translation technologies into the processes of language learning and professional translator training. It examines how these tools can be leveraged to enhance linguistic proficiency and translation competence, providing a framework for understanding the evolving relationship between human language skills and automated systems.
Book Review | Amerbach
How to Augment Language Skills: Generative AI and Machine Translation in Language Learning and Translator Training addresses the rapidly shifting landscape of language education and professional translation in the age of large language models. The book provides a systematic examination of how generative AI and machine translation, once viewed primarily as tools for automation, can be repurposed as pedagogical instruments to augment human linguistic capabilities. By focusing on the intersection of technology and cognitive skill development, the authors offer a perspective that moves beyond the binary of human versus machine, instead proposing a model of collaborative intelligence. The scope of the book encompasses both the theoretical underpinnings of machine-mediated communication and the practical applications of these technologies in classroom and professional training environments. The authors detail how learners and trainees can engage with AI outputs to refine their critical thinking, linguistic accuracy, and stylistic awareness. The organization of the book facilitates a clear progression from foundational concepts to more complex pedagogical strategies, making it accessible to those navigating the integration of AI into their own learning or teaching practices. The book serves as a timely resource for understanding the pedagogical shifts required to prepare students for a professional environment where AI literacy is increasingly essential. It avoids speculative claims, grounding its analysis in the practical realities of current technological capabilities and the established principles of language acquisition and translator training. The Amerbach perspective identifies this book as a significant contribution to the literature on digital literacy in the humanities. It fits well within academic programs that seek to bridge the gap between traditional linguistic instruction and the technical demands of the modern digital workspace, providing a structured approach to leveraging AI as a partner in the pursuit of language proficiency.

Academic Use

Translation Studies, Language Pedagogy, and Computer-Assisted Language Learning (CALL) curricula.

Who Is It For?

Students of translation, language learners, and educators interested in the intersection of AI technology and linguistic skill development.

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