Exploiting Source-side Monolingual Data in Neural Machine Translation

@inproceedings{Zhang2016ExploitingSM,
  title={Exploiting Source-side Monolingual Data in Neural Machine Translation},
  author={Jiajun Zhang and Chengqing Zong},
  booktitle={EMNLP},
  year={2016}
}
Neural Machine Translation (NMT) based on the encoder-decoder architecture has recently become a new paradigm. Researchers have proven that the target-side monolingual data can greatly enhance the decoder model of NMT. However, the source-side monolingual data is not fully explored although it should be useful to strengthen the encoder model of NMT, especially when the parallel corpus is far from sufficient. In this paper, we propose two approaches to make full use of the sourceside monolingual… Expand
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