This book covers the history of the theory and practice of translation from Cicero to the digital age. It examines all major processes of translation, offers critical accounts of current research, and compares theoretical perspectives on the problems of translation ranging from sacred texts and drama to science and diplomatic interpretation.

A history of machine translation (MT) from the point of view of a major writer and innovator in the field is the subject of this book. It details the deep differences between rival groups on how best to do MT, and presents a global perspective covering historical and contemporary systems in Europe, the US and Japan. The author considers MT as a fundamental part of Artificial Intelligence and the ultimate test-bed for all computational linguistics.

Learn how to build machine translation systems with deep learning from the ground up, from basic concepts to cutting-edge research.

Lynne Bowker and Jairo Buitrago Ciro introduce the concept of machine translation literacy, a new kind of literacy for scholars and librarians in the digital age. This book is a must-read for researchers and information professionals eager to maximize the global reach and impact of any form of scholarly work.