Philipp Koehn: Neural Machine Translation

Abstract Neural machine translation (NMT) is an approach to (MT) that uses deep learning techniques, a broad area of based on artificial neural networks (NNs). The book Machine Translation by Philipp Koehn targets range readers including researchers, scientists, academics, advanced undergraduate or postgraduate students, and users MT, covering wider topics fundamental network-based techniques methodologies used develop NMT systems. demonstrates different linguistic computational aspects in terms with the latest practices standards investigates problems relating NMT. Having read this book, reader should be able formulate, design, implement, critically assess evaluate some methods for MT. himself notes he was somewhat overtaken events, as originally envisaged only chapter revised, extended version his 2009 Statistical . However, interim, completely overtook previously dominant paradigm, new likely serve reference note field time come, despite fact are coming onstream all time.