Jonas Gehring

A Convolutional Encoder Model for Neural Machine Translation

2017

The prevalent approach to neural machine translation relies on bi-directional LSTMs to encode the source sentence. We present a faster and simpler architecture based on a succession of convolutional layers. This allows to encode the …

Convolutional Sequence to Sequence Learning

2017 · arXiv (Cornell University)

The prevalent approach to sequence to sequence learning maps an input sequence to a variable length output sequence via recurrent neural networks. We introduce an architecture based entirely on convolutional neural networks. Compared to recurrent …