Non-Autoregressive Chinese ASR Error Correction with Phonological Training

Zheng Fang 0002, Ruiqing Zhang, Zhongjun He, Hua Wu 0003, Yanan Cao. Non-Autoregressive Chinese ASR Error Correction with Phonological Training. In Marine Carpuat, Marie-Catherine de Marneffe, Iván Vladimir Meza Ruíz, editors, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022, Seattle, WA, United States, July 10-15, 2022. pages 5907-5917, Association for Computational Linguistics, 2022. [doi]

@inproceedings{0002ZH0C22,
  title = {Non-Autoregressive Chinese ASR Error Correction with Phonological Training},
  author = {Zheng Fang 0002 and Ruiqing Zhang and Zhongjun He and Hua Wu 0003 and Yanan Cao},
  year = {2022},
  url = {https://aclanthology.org/2022.naacl-main.432},
  researchr = {https://researchr.org/publication/0002ZH0C22},
  cites = {0},
  citedby = {0},
  pages = {5907-5917},
  booktitle = {Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022, Seattle, WA, United States, July 10-15, 2022},
  editor = {Marine Carpuat and Marie-Catherine de Marneffe and Iván Vladimir Meza Ruíz},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-955917-71-1},
}