Neural Machine Translation

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

Philipp Koehn (Author)

9781108497329, Cambridge University Press

Hardback, published 18 June 2020

406 pages
25.2 x 17.8 x 2.6 cm, 0.84 kg

'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

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.

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.

Subject Areas: Machine learning [UYQM], Natural language & machine translation [UYQL], Computational linguistics [CFX]