An Approach for Neural Machine Translation with Graph Attention Network

The achievement of Neural Machine Translation (NMT) drew the attention of the professionals in recent years. The translation quality outperforms traditional methods such as Statistical Machine Translation. However, for the document-level machine translation tasks, the research shows that there are still some problems with the Machine Translation model, such as the loss of the original document theme and lack of fluency.