ABSTRACT

From tech giants to plucky startups, the world is full of companies boasting that they are on their way to replacing human interpreters, but are they right? Interpreters vs Machines offers a solid introduction to recent theory and research on human and machine interpreting, and then invites the reader to explore the future of interpreting. With a foreword by Dr Henry Liu, the 13th International Federation of Translators (FIT) President, and written by consultant interpreter and researcher Jonathan Downie, this book offers a unique combination of research and practical insight into the field of interpreting.

Written in an innovative, accessible style with humorous touches and real-life case studies, this book is structured around the metaphor of playing and winning a computer game. It takes interpreters of all experience levels on a journey to better understand their own work, learn how computers attempt to interpret and explore possible futures for human interpreters.

With five levels and split into 14 chapters, Interpreters vs Machines is key reading for all professional interpreters as well as students and researchers of Interpreting and Translation Studies, and those with an interest in machine interpreting.

chapter

Introduction

part Level 1|52 pages

The fundamentals

chapter 1|15 pages

What is interpreting?

chapter 2|18 pages

How humans interpret

chapter 3|17 pages

How computers “interpret”

part Level 2|16 pages

How machines gained the upper hand

part Level 3|26 pages

Choose your interpreting future

chapter 6|5 pages

Human interpreting as a stopgap

chapter 7|7 pages

Hanging on with legal help

chapter 8|5 pages

Mastering niches

chapter 9|7 pages

Making interpreting matter again

part Level 4|46 pages

Interpreting that beats the bots

chapter 11|9 pages

Marketing interpreting that matters

chapter 12|13 pages

Deliver more than words

chapter 13|14 pages

Coaching and supervision

part Level 5|11 pages

One last thought

chapter 14|9 pages

It’s time to call a truce