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Continuous space translation models with neural networks

HAL (Le Centre pour la Communication Scientifique Directe)Published 3 June 2012Open access
Hai-Son Le, Alexandre Allauzen, François Yvon
Citations122
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TL;DR

Several continuous space translation models are explored, where translation probabilities are estimated using a continuous representation of translation units in lieu of standard discrete representations, jointly computed using a multi-layer neural network with a SOUL architecture.

Abstract

International audience

Keywords

Computer Science