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Synchronous Bidirectional Neural Machine Translation

This is the official codebase for the following papers, implemented in tensorflow:

(1) Long Zhou, Jiajun Zhang, Chengqing Zong. Synchronous Bidirectional Nueral Machine Translaiton. In Transactions of ACL 2019. [PDF]

(2) Jiajun Zhang, Long Zhou, Yang Zhao, Chengqing Zong. Synchronous Bidirectional Inference for Neural Sequence Generation. arXiv preprint arXiv:1902.08955.

Requirements

  1. python2.7
  2. tensorflow-gpu >=1.4
  3. cuda >=8.0

Usage

  1. Preprocessing. construct pseudo training data using Transformer as introduced in the paper, and then run ./datagen.sh.
  2. Training. run ./train.sh.
  3. Inference. run ./test.sh.

Citation

If you found this code useful in your research, please cite:

@article{Zhou:2019:TACL,
  author    = {Zhou, Long and Zhang, Jiajun and Zong, Chengqing},
  title     = {Synchronous Bidirectional Nueral Machine Translaiton},
  journal   = {Transactions of the Association for Computational Linguistics},
  year      = {2019},
}

@article{Zhang:2019:Arxiv,
  author    = {Zhang, Jiajun and Zhou, Long and Zhao, Yang and Zong, Chengqing},
  title     = {Synchronous Bidirectional Inference for Neural Sequence Generation},
  journal   = {arXiv preprint arXiv:1902.08955},
  year      = {2019},
}

Contact

If you have questions, suggestions and bug reports, please email long.zhou@nlpr.ia.ac.cn or jjzhang@nlpr.ia.ac.cn.