Neural Machine Translation, 9781108497329
Hardcover
Deep learning revolutionizes translation: Build your own system with Python.

Neural Machine Translation

  • Hardcover

    406 pages

  • Release Date

    18 June 2020

Summary

Decoding Language: A Deep Dive into Neural Machine Translation

Deep learning is transforming the landscape of modern machine translation. This book provides a comprehensive introduction to the challenges and evaluation metrics within machine translation, exploring its historical, linguistic, and practical dimensions. It then delves into the core deep learning techniques that power natural language applications.

With hands-on Python code examples, you’ll gain a practical blue…

Book Details

ISBN-13:9781108497329
ISBN-10:1108497322
Author:Philipp Koehn
Publisher:Cambridge University Press
Imprint:Cambridge University Press
Format:Hardcover
Number of Pages:406
Release Date:18 June 2020
Weight:840g
Dimensions:252mm x 178mm x 26mm
What They're Saying

Critics Review

‘This book can essentially be viewed as an important contribution to the increasingly important area of neural MT, which will be a great help to NLP researchers, scientists, academics, undergraduate or postgraduate students, and MT researchers and users in particular.’ Wandri Jooste, Rejwanul Haque, and Andy Way, Machine Translation‘This book can essentially be viewed as an important contribution to the increasingly important area of neural MT, which will be a great help to NLP researchers, scientists, academics, undergraduate or postgraduate students, and MT researchers and users in particular.’ Wandri Jooste, Rejwanul Haque,·Andy Way, Machine Translation

About The Author

Philipp Koehn

Philipp Koehn is a leading researcher in the field of machine translation and Professor of Computer Science at Johns Hopkins University. In 2010 he authored the textbook Statistical Machine Translation (Cambridge). He received the Award of Honor from the International Association for Machine Translation and was one of three finalists for the European Inventor Award of the European Patent Office in 2013. Professor Koehn also works actively in industry as Chief Scientist for Omniscien Technology and as a consultant for Facebook.

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