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date: 23 October 2019

Abstract and Keywords

Deep learning has rapidly gained huge popularity among researchers in natural-language processing and computational linguistics in recent years. This chapter gives a comprehensive and detailed overview of recent deep-learning-based approaches to challenging problems in natural-language processing, specifically focusing on document classification, language modelling, and machine translation. At the end of the chapter, new opportunities in natural-language processing made possible by deep learning are discussed, which are multilingual and larger-context modelling.

Keywords: deep learning, neural network, convolutional network, recurrent network, language modelling, machine translation, neural machine translation, document classification, distributed representation

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