Automating Translation

Translation technology is essential for translation students, practising translators, and those working in the language services industry, with machine translation and generative AI based on large language models (LLMs) being the most prominent tools for automating translation. This book demystifies machine translation, explaining its origins, training data, neural machine translation and LLMs, how to measure their quality, how translators interact with contemporary systems, and how readers can build their own machine translation or LLM. It also examines the sociotechnical context, focusing on ethics and sustainability, and includes activities, further reading, and resource links.

Format: Paperback / softback
Length: 248 pages
Publication date: 29 August 2024
Publisher: Taylor & Francis Ltd

Translation technology is crucial for translation students, practicing translators, and professionals in the language services industry. However, the most prominent tools for automating translation are machine translation and generative AI based on large language models (LLMs). This book, written by renowned experts, aims to demystify machine translation, providing insights into its origins, training data, neural machine translation and LLMs, quality measurement, translator interaction, and building machine translation or LLMs. It also explores the broader scope of translation automation in audiovisual translation and localisation, while examining the sociotechnical context, including ethics and sustainability. The book includes activities, further reading, and resource links, including online support material on the Routledge Translation Studies portal, making it an essential textbook for students of translation studies, trainee and practising translators, and users of MT and multilingual LLMs. Additional resources are available on the Routledge Translation Studies Portal.

Weight: 426g
Dimension: 155 x 234 x 18 (mm)
ISBN-13: 9781032436807