Litcius/Paper detail

Neural Machine Translation

Philipp Koehn

2020Cambridge University Press eBooks68 citationsDOIOpen Access PDF

Abstract

Draft of textbook chapter on neural machine translation. a comprehensive treatment of the topic, ranging from introduction to neural networks, computation graphs, description of the currently dominant attentional sequence-to-sequence model, recent refinements, alternative architectures and challenges. Written as chapter for the textbook Statistical Machine Translation. Used in the JHU Fall 2017 class on machine translation.

Topics & Concepts

Machine translationComputer scienceArtificial intelligencePython (programming language)BlueprintField (mathematics)Deep learningNatural language processingMachine learningProgramming languageEngineeringMathematicsPure mathematicsMechanical engineeringNatural Language Processing TechniquesTopic ModelingMultimodal Machine Learning Applications