Neural Machine Translation

Neural Machine Translation

Author: Philipp Koehn

Publisher: Cambridge University Press

Published: 2020-06-18

Total Pages: 409

ISBN-13: 1108497322

DOWNLOAD EBOOK

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


Advances in Empirical Translation Studies

Advances in Empirical Translation Studies

Author: Meng Ji

Publisher: Cambridge University Press

Published: 2019-06-13

Total Pages: 285

ISBN-13: 1108423272

DOWNLOAD EBOOK

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


Machine Translation

Machine Translation

Author: Yorick Wilks

Publisher: Springer Science & Business Media

Published: 2008-10-30

Total Pages: 246

ISBN-13: 0387727744

DOWNLOAD EBOOK

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.


Machine Translation and Global Research

Machine Translation and Global Research

Author: Lynne Bowker

Publisher: Emerald Group Publishing

Published: 2019-05-01

Total Pages: 97

ISBN-13: 1787567230

DOWNLOAD EBOOK

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.


Recent Trends in Computational Intelligence

Recent Trends in Computational Intelligence

Author: Ali Sadollah

Publisher: BoD – Books on Demand

Published: 2020-05-06

Total Pages: 200

ISBN-13: 1838807055

DOWNLOAD EBOOK

Traditional models struggle to cope with complexity, noise, and the existence of a changing environment, while Computational Intelligence (CI) offers solutions to complicated problems as well as reverse problems. The main feature of CI is adaptability, spanning the fields of machine learning and computational neuroscience. CI also comprises biologically-inspired technologies such as the intellect of swarm as part of evolutionary computation and encompassing wider areas such as image processing, data collection, and natural language processing. This book aims to discuss the usage of CI for optimal solving of various applications proving its wide reach and relevance. Bounding of optimization methods and data mining strategies make a strong and reliable prediction tool for handling real-life applications.


Speech-to-Speech Translation

Speech-to-Speech Translation

Author: Yutaka Kidawara

Publisher: Springer Nature

Published: 2019-11-22

Total Pages: 103

ISBN-13: 9811505950

DOWNLOAD EBOOK

This book provides the readers with retrospective and prospective views with detailed explanations of component technologies, speech recognition, language translation and speech synthesis. Speech-to-speech translation system (S2S) enables to break language barriers, i.e., communicate each other between any pair of person on the glove, which is one of extreme dreams of humankind. People, society, and economy connected by S2S will demonstrate explosive growth without exception. In 1986, Japan initiated basic research of S2S, then the idea spread world-wide and were explored deeply by researchers during three decades. Now, we see S2S application on smartphone/tablet around the world. Computational resources such as processors, memories, wireless communication accelerate this computation-intensive systems and accumulation of digital data of speech and language encourage recent approaches based on machine learning. Through field experiments after long research in laboratories, S2S systems are being well-developed and now ready to utilized in daily life. Unique chapter of this book is end-2-end evaluation by comparing system’s performance and human competence. The effectiveness of the system would be understood by the score of this evaluation. The book will end with one of the next focus of S2S will be technology of simultaneous interpretation for lecture, broadcast news and so on.


The Oxford Handbook of Computational Linguistics

The Oxford Handbook of Computational Linguistics

Author: Ruslan Mitkov

Publisher: Oxford University Press

Published: 2004

Total Pages: 808

ISBN-13: 019927634X

DOWNLOAD EBOOK

This handbook of computational linguistics, written for academics, graduate students and researchers, provides a state-of-the-art reference to one of the most active and productive fields in linguistics.