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United Nations Parallel Corpus

High-quality human translations from books, leveraging the induction bias that high-quality human translations are superior to machine-generated translations.

Data and Resources

Cite this as

Nuo Xu, Jun Zhao, Can Zu, Sixian Li, Lu Chen, Zhihao Zhang, Rui Zheng, Shihan Dou, Wenjuan Qin, Tao Gui, Qi Zhang, Xuanjing Huang (2024). Dataset: United Nations Parallel Corpus. https://doi.org/10.57702/ntftf4z4

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.1907.00735
Citation
  • https://doi.org/10.48550/arXiv.2402.11525
Author Nuo Xu
More Authors
Jun Zhao
Can Zu
Sixian Li
Lu Chen
Zhihao Zhang
Rui Zheng
Shihan Dou
Wenjuan Qin
Tao Gui
Qi Zhang
Xuanjing Huang
Homepage http://opus.nlpl.eu/un