Neural Machine Translation

Discover the transformative power of neural networks in machine translation with Neural Machine Translation by Philipp Koehn. Published in 2020, this comprehensive guide spans 406 pages, providing a thorough introduction to the fundamentals of machine translation through the lens of deep learning.

Koehn expertly walks readers from basic concepts to cutting-edge techniques, offering valuable insights into the historical, linguistic, and practical aspects of the field. With illuminating explanations and practical code examples in Python, this book serves as both a blueprint for implementation and a resource for understanding the intricacies of modern translation systems.

Whether you're a newcomer or an experienced professional, Neural Machine Translation is an essential addition to your library that equips you with the knowledge and skills to harness the latest advancements in translation technology.