- [] Sequence to Sequence Learning with Neural Networks
- [] Neural Machine Translation by Jointly Learning to Align and Translate
- [] Effective Approaches to Attention-based Neural Machine Translation
- [] Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
- [] Convolutional sequence to sequence learning.
- [] Attention is all you need.
- [] The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation
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- [3] Luong, M. T., Pham, H., & Manning, C. D. (2015). Effective approaches to attention-based neural machine translation. arXiv preprint arXiv:1508.04025.
- [4] Gehring, J., Auli, M., Grangier, D., Yarats, D., & Dauphin, Y. N. (2017). Convolutional sequence to sequence learning. arXiv preprint arXiv:1705.03122.
- [5] Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., ... & Polosukhin, I. (2017). Attention is all you need. In Advances in neural information processing systems (pp. 5998-6008).