Neural Machine Translation

Deep learning is revolutionizing how machine translation systems are built today. This introduction to machine translation starts from the basics of neural network methods and reaches the state of the art, while giving illuminating historical, linguistic, and applied context. Code examples in Python give a hands-on blueprint for implementation.

• | By (Author): Philipp (The Johns Hopkins University) Koehn
• | Publisher: Cambridge University Press
• | Publication Date: Jun 18, 2020
• | Country of Publication: United Kingdom
• | Number of Pages: 406 pages
• | Language: Unknown
• | Binding: Hardback
• | ISBN-10: 1108497322
• | ISBN-13: 9781108497329