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Neural Machine Translation

Author: Philipp Koehn (The Johns Hopkins University)

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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.

Technical information
ISBN 9781108497329
Published: 2020
Language In English
Format Hard cover
Pages 406 pg
Added: 29.06.2020

93.50 €Last copies

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Delivery: 2-4 weeks, latest on 02.12

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