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...
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...
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