How effective is machine translation on low-resource code-switching? A case study comparing human and automatic metrics

Li Nguyen, Christopher Bryant 0001, Oliver Mayeux, Zheng Yuan. How effective is machine translation on low-resource code-switching? A case study comparing human and automatic metrics. In Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki, editors, Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023. pages 14186-14195, Association for Computational Linguistics, 2023. [doi]

@inproceedings{Nguyen0MY23,
  title = {How effective is machine translation on low-resource code-switching? A case study comparing human and automatic metrics},
  author = {Li Nguyen and Christopher Bryant 0001 and Oliver Mayeux and Zheng Yuan},
  year = {2023},
  url = {https://aclanthology.org/2023.findings-acl.893},
  researchr = {https://researchr.org/publication/Nguyen0MY23},
  cites = {0},
  citedby = {0},
  pages = {14186-14195},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023},
  editor = {Anna Rogers and Jordan L. Boyd-Graber and Naoaki Okazaki},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-959429-62-3},
}