[ICLR2015]Neural Machine Translation by Jointly Learning to Align and Translate

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因为《Incorporating Copying Mechanism in Sequence-to-Sequence Learning》和《Pointing the Unknown Words 》两篇文章都引用了本文，所以就看一下，
就是用attention做对齐然后对其翻译，这个过程网络上在介绍attention model都是用机器翻译为例进行讲解，也就是说都是以这篇文章来讲解attention model, 针对本文，attention model 的理解是最重要的，这里给出讲解AM很好的博客，不再赘述。
http://blog.csdn.net/xbinworld/article/details/54607525

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[ICLR2015]Neural Machine Translation by Jointly Learning to Align and Translate
NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE
【论文阅读】Neural Machine Translation By Jointly Learning To Align and Translate
论文阅读：《Neural Machine Translation by Jointly Learning to Align and Translate》
论文《NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE》总结
NOTES of NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE
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