Neural Machine Translation

Kyung Hyun Cho (cho (point) k (point) hyun <at> gmail (point) com)

LISA

Le 19 novembre 2014 à 11 h 30

Salle 3195, Pavillon André-Aisenstadt


Neural machine translation is a recently introduced approach to tackling machine translation. Unlike the conventional approach, neural machine translation aims to build a translation system that consists of a single neural network, where the whole system is jointly trained to maximize the conditional probability of a translation given a source sentence. In this talk, I will first introduce a basic concept of neural machine translation and demonstrate the working neural translation system. Then, I will describe how we incorporated attention mechanism into an encoder-decoder model to achieve translation performance comparable to the conventional phrase-based machine translation system (http://arxiv.org/abs/1409.0473)


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