Neural Machine Translation 1st Edition

by Philipp Koehn (Author)

5 ratings

ISBN-13: 978-1108497329

ISBN-10: 1108497322

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Deep learning is revolutionizing how machine translation systems are built today. This book introduces the challenge of machine translation and evaluation - including historical, linguistic, and applied context -- then develops the core deep learning methods used for natural language applications. Code examples in Python give readers a hands-on blueprint for understanding and implementing their own machine translation systems. The book also provides extensive coverage of machine learning tricks, issues involved in handling various forms of data, model enhancements, and current challenges and methods for analysis and visualization. Summaries of the current research in the field make this a state-of-the-art textbook for undergraduate and graduate classes, as well as an essential reference for researchers and developers interested in other applications of neural methods in the broader field of human language processing.

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Editorial Reviews

Book Description

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

About the Author

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.

Product details

Publisher ‏ : ‎ Cambridge University Press; 1st edition (July 23, 2020)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 406 pages
ISBN-10 ‏ : ‎ 1108497322
ISBN-13 ‏ : ‎ 978-1108497329
Item Weight ‏ : ‎ 1.85 pounds
Dimensions ‏ : ‎ 7 x 1 x 9.9 inches

Best Sellers Rank: #875,474 in Books (See Top 100 in Books)
- #154 in Natural Language Processing (Books)
- #1,258 in Linguistics (Books)
- #2,749 in Linguistics Reference

Customer Reviews:
5 ratings

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Mehrdad Alizadeh

Its a must read book if you are doing machine translation

Reviewed in the United States on August 1, 2020

Verified Purchase

How a scientist can be both theoretically and practically this amazing! This book not only introduces theories of neural machine translation, but also many practical tricks you need to know in a real world application!
I wish in every domain of AI we would have similar books! Thanks Philipp Koehn.

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Top reviews from other countries

Raja Shan Zaker Mahmood

Great content, weird printing choices

Reviewed in the United Kingdom on July 14, 2020

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The content itself is great and provides an excellent introduction to the field, from the historical development all the way to state-of-the-art methods. The exposition is clear and I would probably say that this is the best modern NLP textbook on the market presently.

The reason for the low rating is the print quality. While readable, the text looks like it comes from a cheap college textbook and even worse, it is in black & white. In the text preview on amazon, the graphs were rendered in vibrant colours. This is not the case for the hardback version, where graphs are rendered in various shades of grey. A real shame, when the subject matter relies so heavily on graphic explanations.

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Neural Machine Translation 1st Edition

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