37.131, Books: Teaching Translation in the Age of Generative AI: Penet, Moorkens, and Yamada (eds.) (2026)
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LINGUIST List: Vol-37-131. Tue Jan 13 2026. ISSN: 1069 - 4875.
Subject: 37.131, Books: Teaching Translation in the Age of Generative AI: Penet, Moorkens, and Yamada (eds.) (2026)
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Date: 08-Jan-2026
From: Sebastian Nordhoff [support at langsci-press.org]
Subject: Teaching Translation in the Age of Generative AI: Penet, Moorkens, and Yamada (eds.) (2026)
Title: Teaching Translation in the Age of Generative AI
Subtitle: New paradigm, new learning?
Series Title: Translation and Multilingual Natural Language Processing
Publication Year: 2026
Publisher: Language Science Press
http://langsci-press.org
Book URL: https://langsci-press.org/catalog/book/520
Editor(s): JC Penet, Joss Moorkens, Masaru Yamada
eBook
Abstract:
Since the launch of OpenAI’s ChatGPT in 2022, generative artificial
intelligence (GenAI) has started reshaping what it means to work as a
professional translator in an industry that is becoming increasingly
automated. This prompts us to interrogate, once again, the role and
agency of human translators in the translation process or, in other
words, the intrinsically human value and values they add to it. A
natural corollary is that GenAI forces us translator educators to
(re-)interrogate what we do in our translation programmes. Whatever we
may think or feel about GenAI, we owe it to our students to engage
with it in our programmes. However, because GenAI is not just another
tool in the translator’s toolkit, we must also to do so in a way that
raises students’ awareness of some of the ethical and sustainability
issues around it.
This is what Teaching Translation in the Age of Generative AI: New
Paradigm, New Learning aims to do. Articulated around three main
parts, Part 1 explores the new skills and competences translator
educators need to help their students develop in the age of GenAI. In
Part 2, the focus shifts to the new knowledge (such as data literacy
and prompting) that students in translation programmes need to engage
with in the age of GenAI. Finally, Part 3 puts some flesh on the
bones, as it reviews some of the new teaching approaches adopted by
colleagues since the advent of GenAI. It does so by introducing the
reader to a series of vignettes taken from a variety of
translation-related disciplines and contexts.
Throughout the entire edited volume, the ambition is to be as
accessible as possible, so that this volume can be of help to as many
of us in translation education as possible, as we all learn to
negotiate the uncharted territory of GenAI.
Linguistic Field(s): Translation
Written In: English (eng)
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