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

Introduces the integration of theoretical and applied translation studies for socially-oriented and data-driven empirical translation research.

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.

A lucid account of the process of machine translation. Nagao (engineering, Kyoto U) details recent developments in MT systems and makes suggestions for their utilization. The book will interest general readers. Annotation copyrighted by Book News, Inc., Portland, OR

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.