BLEU: a Method for Automatic Evaluation of Machine Translation
Papineni et al., 2002, BLEU (Proceedings of the 40th Annual Meeting of ACL)
Subscriber deck — free during early access
2 cards in “6 Conclusion” · whole deck
6 Conclusion
- How does BLEU achieve its high correlation with human judgments, in its authors’ words?By averaging out individual sentence judgment errors over a test corpus rather than trying to divine the exact human judgment for every sentence: “quantity leads to quality”.
- Papineni et al., 2002, BLEU (Proceedings of the 40th Annual Meeting of ACL), §6
- Beyond MT, where did the authors think BLEU could apply?Summarization and similar natural language generation tasks, since MT and summarization can both be viewed as generation from a textual context.
- Papineni et al., 2002, BLEU (Proceedings of the 40th Annual Meeting of ACL), §6
Source
- Kishore Papineni, Salim Roukos, Todd Ward and Wei-Jing Zhu. 2002. BLEU: a Method for Automatic Evaluation of Machine Translation. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, pp. 311–318. https://aclanthology.org/P02-1040/