Neural machine translation:
Deep learning is revolutionizing how machine translation systems are built today. This book introduces the challenge of machine translation and evaluation - including historical, linguistic, and applied context -- then develops the core deep learning methods used for natural language applications. C...
Gespeichert in:
| Beteilige Person: | |
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| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2020
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| Links: | https://doi.org/10.1017/9781108608480 |
| Zusammenfassung: | Deep learning is revolutionizing how machine translation systems are built today. This book introduces the challenge of machine translation and evaluation - including historical, linguistic, and applied context -- then develops the core deep learning methods used for natural language applications. Code examples in Python give readers a hands-on blueprint for understanding and implementing their own machine translation systems. The book also provides extensive coverage of machine learning tricks, issues involved in handling various forms of data, model enhancements, and current challenges and methods for analysis and visualization. Summaries of the current research in the field make this a state-of-the-art textbook for undergraduate and graduate classes, as well as an essential reference for researchers and developers interested in other applications of neural methods in the broader field of human language processing. |
| Umfang: | 1 Online-Ressource (xiv, 393 Seiten) |
| ISBN: | 9781108608480 |
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| spelling | Koehn, Philipp Neural machine translation Philipp Koehn Cambridge Cambridge University Press 2020 1 Online-Ressource (xiv, 393 Seiten) txt c cr Deep learning is revolutionizing how machine translation systems are built today. This book introduces the challenge of machine translation and evaluation - including historical, linguistic, and applied context -- then develops the core deep learning methods used for natural language applications. Code examples in Python give readers a hands-on blueprint for understanding and implementing their own machine translation systems. The book also provides extensive coverage of machine learning tricks, issues involved in handling various forms of data, model enhancements, and current challenges and methods for analysis and visualization. Summaries of the current research in the field make this a state-of-the-art textbook for undergraduate and graduate classes, as well as an essential reference for researchers and developers interested in other applications of neural methods in the broader field of human language processing. Erscheint auch als Druck-Ausgabe 9781108497329 |
| spellingShingle | Koehn, Philipp Neural machine translation |
| title | Neural machine translation |
| title_auth | Neural machine translation |
| title_exact_search | Neural machine translation |
| title_full | Neural machine translation Philipp Koehn |
| title_fullStr | Neural machine translation Philipp Koehn |
| title_full_unstemmed | Neural machine translation Philipp Koehn |
| title_short | Neural machine translation |
| title_sort | neural machine translation |
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