References

References

LSL+15

Minh-Thang Luong, Ilya Sutskever, Quoc Le, Oriol Vinyals, and Wojciech Zaremba. Addressing the Rare Word Problem in Neural Machine Translation. In Proc of ACL. 2015.

SH16

Rico Sennrich and Barry Haddow. Linguistic input features improve neural machine translation. arXiv preprint arXiv:1606.02892, 2016.

VSP+17

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. Attention is all you need. CoRR, 2017. URL: http://arxiv.org/abs/1706.03762, arXiv:1706.03762.

WPDN18

Xinyi Wang, Hieu Pham, Zihang Dai, and Graham Neubig. Switchout: an efficient data augmentation algorithm for neural machine translation. CoRR, 2018. URL: http://arxiv.org/abs/1808.07512, arXiv:1808.07512.

WSC+16

Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, and others. Google’s neural machine translation system: bridging the gap between human and machine translation. arXiv preprint arXiv:1609.08144, 2016.

ZXS18

Biao Zhang, Deyi Xiong, and Jinsong Su. Accelerating neural transformer via an average attention network. CoRR, 2018. URL: http://arxiv.org/abs/1805.00631, arXiv:1805.00631.