Automating Translation

Regular price €179.80
A01=Andy Way
A01=Joss Moorkens
A01=Séamus Lankford
Age Group_Uncategorized
Age Group_Uncategorized
artifical intelligence
Author_Andy Way
Author_Joss Moorkens
Author_Séamus Lankford
automatic-update
Category1=Non-Fiction
Category=CFP
Category=DS
COP=United Kingdom
Delivery_Pre-order
eq_biography-true-stories
eq_dictionaries-language-reference
eq_isMigrated=2
eq_non-fiction
Language_English
large language models
machine translation
multilingual language models
multimedia translation
neural networks
PA=Not yet available
Price_€100 and above
PS=Active
softlaunch
translation memory

Product details

  • ISBN 9781032463520
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 29 Aug 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
  • Language: English
Delivery/Collection within 10-20 working days

Our Delivery Time Frames Explained
2-4 Working Days: Available in-stock

10-20 Working Days
: On Backorder

Will Deliver When Available
: On Pre-Order or Reprinting

We ship your order once all items have arrived at our warehouse and are processed. Need those 2-4 day shipping items sooner? Just place a separate order for them!

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.

Joss Moorkens is Associate Professor at the School of Applied Language and Intercultural Studies and Science Lead at the ADAPT Centre at Dublin City University, Ireland. He is General Co- Editor of the journal Translation Spaces, author and editor of several books, articles, chapters, and special issues on translation technology, and sits on the board of the European Masters in Translation network.

Andy Way is Professor of Computing and Co- Founder of the ADAPT Centre at Dublin City University, Ireland. He was previously editor of the Machine Translation journal for 15 years, and president of both the European and International Associations for Machine Translation. He has over 450 publications, including five books on machine translation.

Séamus Lankford is a Computer Science lecturer with over 25 years’ experience at the Munster Technological University, Ireland. He has published extensively on the topic of machine translation. The focus of his doctoral thesis was the enhancement of NMT of low- resource languages through corpus development, human evaluation, and explainable AI architectures.