Agreement-based Joint Training for Bidirectional Attention-based Neural Machine Translation

@inproceedings{Cheng2016AgreementbasedJT,
  title={Agreement-based Joint Training for Bidirectional Attention-based Neural Machine Translation},
  author={Yong Cheng and Shiqi Shen and Zhongjun He and Wei He and Hua Wu and Maosong Sun and Yang Liu},
  booktitle={IJCAI},
  year={2016}
}
The attentional mechanism has proven to be effective in improving end-to-end neural machine translation. However, due to the structural divergence between natural languages, unidirectional attentionbased models might only capture partial aspects of attentional regularities. We propose agreementbased joint training for bidirectional attention-based end-to-end neural machine translation. Instead of training source-to-target and target-to-source translation models independently, our approach… CONTINUE READING
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