Deep Architectures for Neural Machine Translation

On the properties of neural machine translation: Encoder-decoder approaches

Kyunghyun Cho, B van Merrienboer, Dzmitry Bahdanau, and Yoshua Bengio. 2014a · 2014

Earlier work this paper cites.

Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014b · 2014

Earlier work this paper cites.

How to Construct Deep Recurrent Neural Networks

Razvan Pascanu, Çağlar Gülçehre, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014

Earlier work this paper cites.

Sequence to sequence learning with neural networks

Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014

Earlier work this paper cites.

Neural Machine Translation by Jointly Learning to Align and Translate

Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015

Earlier work this paper cites.

Layer Normalization

Original

Lei Jimmy Ba, Ryan Kiros, and Geoffrey E. Hinton. 2016 · 2016

Earlier work this paper cites.

Findings of the 2016 Conference on Machine Translation (WMT16)

Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Varvara Logacheva, Christof Monz, Matteo Negri, Aurelie Neveol, Mariana Neves, Martin Popel, Matt Post, Raphael Rubino, Carolina Scarton, Lucia Specia, Marco Turchi, Karin Verspoor, and Marcos Zampieri. 2016 · 2016

Cited alongside, same era.

Report on the 13th IWSLT Evaluation Campaign

Mauro Cettolo, Jan Niehues, Sebastian Stüker, Luisa Bentivogli, and Marcello Federico. 2016 · 2016

Cited alongside, same era.

Conditional Gated Recurrent Unit with Attention Mechanism

Orhan Firat and Kyunghyun Cho. 2016 · 2016

Cited alongside, same era.

Deep Residual Learning for Image Recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016

Cited alongside, same era.

Google’s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Original

Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Lukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, and Jeffrey Dean. 2016 · 2016

Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation

Jie Zhou, Ying Cao, Xuguang Wang, Peng Li, and Wei Xu. 2016 · 2016

Later among the works it cites.

Recurrent highway networks

Original

Julian Georg Zilly, Rupesh Kumar Srivastava, Jan Koutník, and Jürgen Schmidhuber. 2016 · 2016

Later among the works it cites.

Massive Exploration of Neural Machine Translation Architectures

Original

Denny Britz, Anna Goldie, Minh-Thang Luong, and Quoc V. Le. 2017 · 2017

Closest in time.

Convolutional Sequence to Sequence Learning

Original

Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann N. Dauphin. 2017 · 2017

Closest in time.

How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs