Neural Machine Translation
Author:   Philipp Koehn (The Johns Hopkins University)
Publisher:   Cambridge University Press
ISBN:  

9781108497329


Pages:   406
Publication Date:   18 June 2020
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Neural Machine Translation


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Full Product Details

Author:   Philipp Koehn (The Johns Hopkins University)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
Dimensions:   Width: 17.80cm , Height: 2.60cm , Length: 25.20cm
Weight:   0.840kg
ISBN:  

9781108497329


ISBN 10:   1108497322
Pages:   406
Publication Date:   18 June 2020
Audience:   General/trade ,  College/higher education ,  General ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Part I. Introduction: 1. The Translation Problem; 2. Uses of Machine Translation; 3. History; 4. Evaluation; Part II. Basics: 5. Neural Networks; 6. Computation Graphs; 7. Neural Language Models; 8. Neural Translation Models; 9. Decoding; Part III. Refinements: 10. Machine Learning Tricks; 11. Alternate Architectures; 12. Revisiting Words; 13. Adaptations; 14. Beyond Parallel Corpora; 15. Linguistic Structure; 16. Current Challenges; 17. Analysis and Visualization.

Reviews

'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


Author Information

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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