Visualizing and Understanding Neural Machine Translation

  title={Visualizing and Understanding Neural Machine Translation},
  author={Yanzhuo Ding and Yang Liu and Huanbo Luan and Maosong Sun},
While neural machine translation (NMT) has made remarkable progress in recent years, it is hard to interpret its internal workings due to the continuous representations and non-linearity of neural networks. In this work, we propose to use layer-wise relevance propagation (LRP) to compute the contribution of each contextual word to arbitrary hidden states in the attention-based encoderdecoder framework. We show that visualization with LRP helps to interpret the internal workings of NMT and… CONTINUE READING
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