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Neural Machine Translation Koehn, Philipp (The Johns Hopkins University)
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Neural Machine Translation
Koehn, Philipp (The Johns Hopkins University)
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.
200 pages, Worked examples or Exercises
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 18 de junio de 2020 |
| ISBN13 | 9781108497329 |
| Editores | Cambridge University Press |
| Páginas | 406 |
| Dimensiones | 253 × 182 × 30 mm · 854 g |
| Lengua | Inglés |
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