Novedad bibliográficaInfoling 10.20 (2024)

Título:Automating translation
Autores/as:Moorkens, Joss; Way, Andy; Lankford, Séamus
Año de publicación:2024
Lugar de edición:New York (EE.UU.)
Editorial:Routledge
Descripción

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.


 


https://www.routledge.com/Automating-Tra... target="_blank" rel="noopener">Preview

Temática:Lingüística computacional, Traducción
Índice

Series Editor’s Foreword


 


Preface


 


Abbreviations and Acronyms


 


Chapter 1 – The Roots of Machine Translation


 


Chapter 2 – Data for Machine Translation


 


Chapter 3 – Translation Memory and Computer-Assisted Translation tools


 


Chapter 4 – Neural Networks and Neural Machine Translation


 


Chapter 5 – Machine Translation Evaluation


 


Chapter 6 – Neural Machine Translation: Build or Buy?


 


Chapter 7 – Building Machine Translation Models with Colab


 


Chapter 8 – Machine Translation Post-Editing


 


Chapter 9 – Machine Translation in Multimedia Translation and Localisation


 


Chapter 10 – Large Language Models and Multilingual Language Models: The Future of Machine Translation?


 


Chapter 11 – Sociotechnical Effects of Machine Translation


 


Afterword


 


Glossary

ColecciónRoutledge Introductions to Translation and Interpreting
Formato:eBook
Págs.:270
ISBN-13:9781003381280
Precio: 33,35 EUR
ISBN-13:9781032436807
Precio: 33,35 EUR
Remitente:Infoling
Correo-e: <infolinginfoling.org>
Fecha de publicación en Infoling:7 de octubre de 2024