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.
Ik heb een vraag over het boek: ‘Neural Machine Translation - Koehn, Philipp (The Johns Hopkins University)’.
Vul het onderstaande formulier in.
We zullen zo spoedig mogelijk antwoorden.
