
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 |
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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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