Bemærk: Kan leveres før jul.
Forventes på lager: 18-06-2020
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.
| Forlag | Cambridge University Press |
| Forfatter | Philipp (The Johns Hopkins University) Koehn |
| Type | Bog |
| Format | Hardback |
| Sprog | Engelsk |
| Udgivelsesdato | 18-06-2020 |
| Første udgivelsesår | 2020 |
| Illustrationer | Worked examples or Exercises |
| Originalsprog | United Kingdom |
| Sideantal | 406 |
| Indbinding | Hardback |
| Forlag | Cambridge University Press |
| Sideoplysninger | 406 pages, Worked examples or Exercises |
| Mål | 182 x 253 x 30 |
| ISBN-13 / EAN-13 | 9781108497329 |