本文介绍了谷歌神经机器翻译系统的最新进展，该系统采用先进的神经网络技术，在机器翻译质量上接近人类水平。文中提及了两篇重要论文：[1]提出了通过联合学习对齐和翻译来缩小机器翻译与人工翻译之间的差距；[2]则详细探讨了使用神经网络进行序列到序列的学习方法。
http://blog.youkuaiyun.com/jteng/article/details/52864401
[1] Wu, Y., Schuster, M., Chen, Z., Le, Q. V., Norouzi, M., Macherey, W., … & Klingner, J. (2016). Google’s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation. arXiv preprint arXiv:1609.08144.
[2] Sutskever, I., Vinyals, O., & Le, Q. V. (2014). Sequence to sequence learning with neural networks. In Advances in neural information processing systems (pp. 3104-3112).
[3] Bahdanau, D., Cho, K., & Bengio, Y. (2014). Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473.
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