Autocorrect in the Process of Translation - Multi-task Learning Improves Dialogue Machine Translation

Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei Li 0005, Deyi Xiong. Autocorrect in the Process of Translation - Multi-task Learning Improves Dialogue Machine Translation. In Young-Bum Kim, Yunyao Li, Owen Rambow, editors, Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, NAACL-HLT 2021, Online, June 6-11, 2021. pages 105-112, Association for Computational Linguistics, 2021. [doi]

@inproceedings{WangZWLX21,
  title = {Autocorrect in the Process of Translation - Multi-task Learning Improves Dialogue Machine Translation},
  author = {Tao Wang and Chengqi Zhao and Mingxuan Wang and Lei Li 0005 and Deyi Xiong},
  year = {2021},
  doi = {10.18653/v1/2021.naacl-industry.14},
  url = {https://doi.org/10.18653/v1/2021.naacl-industry.14},
  researchr = {https://researchr.org/publication/WangZWLX21},
  cites = {0},
  citedby = {0},
  pages = {105-112},
  booktitle = {Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, NAACL-HLT 2021, Online, June 6-11, 2021},
  editor = {Young-Bum Kim and Yunyao Li and Owen Rambow},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-954085-47-3},
}