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Neural Machine Translation

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Neural Machine Translation

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Description
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.
Product details
Edition:
1
Number of Pages:
408
Release Date:
2020-07-31
Publication Date:
2020-06-18
Publisher:
Cambridge University Press
Languages:
Original: English
ISBN10:
1108497322
ISBN13:
9781108497329
GPSR Manufacturer Reference:
Weight:
880 g
Height:
175 cm
Width:
250 cm
Thickness:
26 cm

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Very good
Almost no signs of wear. Book pages have no markings, accessories are intact and all other media are in good condition.
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