Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors Persist

Marzena Karpinska, Mohit Iyyer. Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors Persist. In Philipp Koehn, Barry Haddon, Tom Kocmi, Christof Monz, editors, Proceedings of the Eighth Conference on Machine Translation, WMT 2023, Singapore, December 6-7, 2023. pages 419-451, Association for Computational Linguistics, 2023. [doi]

@inproceedings{KarpinskaI23,
  title = {Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors Persist},
  author = {Marzena Karpinska and Mohit Iyyer},
  year = {2023},
  url = {https://aclanthology.org/2023.wmt-1.41},
  researchr = {https://researchr.org/publication/KarpinskaI23},
  cites = {0},
  citedby = {0},
  pages = {419-451},
  booktitle = {Proceedings of the Eighth Conference on Machine Translation, WMT 2023, Singapore, December 6-7, 2023},
  editor = {Philipp Koehn and Barry Haddon and Tom Kocmi and Christof Monz},
  publisher = {Association for Computational Linguistics},
  isbn = {979-8-89176-041-7},
}