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Recently, non-recurrent architectures (convolutional, self-attentional) have outperformed RNNs in neural machine translation.
Finding structure in time
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BLEU: a Method for Automatic Evaluation of Machine Translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Jörg Tiedemann. 2012 · 2012
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Recurrent Continuous Translation Models
Nal Kalchbrenner and Phil Blunsom. 2013 · 2013
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Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
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An empirical evaluation of generic convolutional and recurrent networks for sequence modeling
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The best of both worlds: Combining recent advances in neural machine translation
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Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann N. Dauphin. 2017 · 2017
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