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Automating translation

Title
Automating translation / Joss Moorkens, Andy Way and Séamus Lankford.
ISBN
1040103979 (electronic bk.)
9781040103975 (electronic bk.)
1032436808
103246352X
9781032436807
9781032463520
Publication
Abingdon, Oxon ; New York, NY : Routldege, 2025.
Physical Description
1 online resource (pages cm).
Local Notes
Access is available to the Yale community.
Notes
Description based on print version record.
Access and use
Access restricted by licensing agreement.
Summary
"Translation technology is essential for translation students, practising translators, and those working as part of the language services industry, but looming above others are the tools for automating translation: machine translation and, more recently, Generative AI based on Large Language Models (LLMs). This book, authored by leading experts, demystifies machine translation, explaining its origins, its training data, how neural machine translation and LLMs work, how to measure their quality, how translators interact with contemporary systems for automating translation, and how readers can build their own machine translation or LLM. In later chapters, the scope of the book expands to look more broadly at translation automation in audiovisual translation and localisation. Importantly, the book also examines the sociotechnical context, focusing on ethics and sustainability. Enhanced with activities, further reading and resource links, including online support material on the Routledge Translation studies portal, this is an essential textbook for students of translation studies, trainee and practising translators and users of MT and multilingual LLMs"-- Provided by publisher.
Variant and related titles
Taylor & Francis. EBA 2024-2025.
Other formats
Original
Online version: Moorkens, Joss. Automating translation Abingdon, Oxon ; New York, NY : Routldege, 2025
Format
Books / Online
Language
English
Added to Catalog
August 30, 2024
Series
Routledge introductions to translation and interpreting
Bibliography
Includes bibliographical references and index.
Contents
The roots of machine translation
Data for machine translation
Translation memory and computer-assisted translation tools
Neural networks and neural machine translation
Machine translation evaluation
Neural machine translation: build or buy?
Building machine translation models with colab
Machine translation post-editing
Machine translation in multimedia translation and localisation
Large language models and multilingual language models: the future of machine translation?
Sociotechnical effects of machine translation.
Citation

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