Google’s Neural Machine Translation Paper

Google’s neural machine translation

Read the following article:

Wu, Yonghui, et al. (2016).

Google’s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

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Then, describe the model architecture presented in figure 1 with some real numbers:

left encoder network what are the GPUs layers about: explain inputs/outputswhat is Encoder LSTM layer about 

middle attention module

right decoder network explain Softmax with examplewhat is Decoder LSTM layer about 

You will need the following articles to help you with descriptions:

Bahdanau, Dzmitry & Cho, Kyunghyun & Bengio, Y. (2014). Neural Machine Translation by Jointly Learning to Align and Translate. ArXiv. 1409.

Sutskever, Ilya & Vinyals, Oriol & Le, Quoc. (2014). Sequence to Sequence Learning with Neural Networks. Advances in Neural Information Processing Systems. 4.

See rubric for grading.