- Oxford [Paper]
- Recurrent Continuous Translation Models, EMNLP 2013
- Univ. Montreal
- Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation, arXiv:1406.1078 / EMNLP 2014 [Paper]
- On the Properties of Neural Machine Translation: Encoder-Decoder Approaches, SSST-8 2014 [Paper]
- Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation, SSST-8 2014
- Neural Machine Translation by Jointly Learning to Align and Translate, arXiv:1409.0473 / ICLR 2015 [Paper]
- On using very large target vocabulary for neural machine translation, arXiv:1412.2007 / ACL 2015 [Paper]
- Univ. Montreal + Middle East Tech. Univ. + Univ. Maine [Paper]
- On Using Monolingual Corpora in Neural Machine Translation, arXiv:1503.03535
- Google [Paper]
- Sequence to Sequence Learning with Neural Networks, arXiv:1409.3215 / NIPS 2014
- Google + NYU [Paper]
- Addressing the Rare Word Problem in Neural Machine Transltaion, arXiv:1410.8206 / ACL 2015
- ICT + Huawei [Paper]
- A Deep Memory-based Architecture for Sequence-to-Sequence Learning, arXiv:1506.06442
- Stanford [Paper]
- Effective Approaches to Attention-based Neural Machine Translation, arXiv:1508.04025
- Middle East Tech. Univ. + NYU + Univ. Montreal [Paper]
- Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism, arXiv:1601.01073