Luca Massaron, Alberto Boschetti, Alexey Grigorev, Abhishek Thakur, Rajalingappaa Shanmugamani. — Packt Publishing Ltd., 2018. — 310 p. — ISBN: 978-1-78839-806-0. Leverage the power of Tensorflow to design deep learning systems for a variety of real-world scenarios TensorFlow is one of the most popular frameworks used for machine learning and, more recently, deep learning. It...
Routledge, 2018. — 268 p. — (Routledge studies in translation technology). — ISBN: 978-1-138-55121-3, 978-1-315-14753-6. Machine translation has become increasingly popular, especially with the introduction of neural machine translation in major online translation systems. However, despite the rapid advances in machine translation, the role of a human translator remains...
Boston: The MIT Press, 2017. — 296 p. A concise, nontechnical overview of the development of machine translation, including the different approaches, evaluation issues, and major players in the industry. The dream of a universal translation device goes back many decades, long before Douglas Adams's fictional Babel fish provided this service in The Hitchhiker's Guide to the...
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