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Interpreters vs Machines: Can Interpreters Survive in an AI-Dominated World?
 

Interpreters vs Machines: Can Interpreters Survive in an AI-Dominated World? (Hardback)

By Downie, Jonathan

  • RRP: $252.00
  • $252.00
  • Pub Date
    10 Jan 20

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 t...hen invites the reader to explore the future of interpreting. With a Foreword by Dr Henry Liu, the 13th 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, split into fourteen chapters, Interpreters vs Machines is key reading for all professional interpreters, as well as students and researchers of Interpreting and Translation Studies.
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ISBN 9781138586420
Released AU 10 Jan 2020
Publisher Taylor & Francis Ltd
Format Hardback
Alternate Format(s) View All (1 other possible title(s) available)
Availability
Available for pre-order, ships once released

Full details for this title

ISBN-13 9781138586420
Stock Release date is 10 January 2020
Status Available for pre-order, ships once released
Publisher Taylor & Francis Ltd
Imprint Routledge
Released 10 Jan 2020
Publication Country United Kingdom United Kingdom
Format Hardback
Author(s) By Downie, Jonathan
Category Translation & Interpretation
Computational Linguistics
General Theory of Computing
Applications of Computing
Artificial Intelligence
Natural Language & Machine Translation
Number of Pages 164
Dimensions Width: 159mm
Height: 235mm
Dewey Code 418.020285
Weight Not specified - defaults to 1,000g
Interest Age 19+ years
Reading Age 19+ years
Library of Congress Translating and interpreting, Machine translating
NBS Text Linguistics
ONIX Text College/higher education

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