Glocalization Strategy Playbook

Neural Machine Translation

This introduction to machine translation starts from the basics of neural network methods and reaches the state of the art, while giving historical, linguistic, and applied context. Code examples in Python give a hands-on blueprint for implementation. The author is still Philipp Koehn

Statistical Machine Translation

Establishes background in NLP and statistics, then develops the basics through to current research. By the end readers can build their own translation systems. The author is Philipp Koehn

Translation: An advanced resource book for students

Introduces the theory and practice of translation from a variety of linguistic and cultural angles. The authors are Basil Hatim and Jeremy Munday