🔗 Who cites «Re-evaluating the Role of Bleu in Machine Translation Research»

292 papers of our library cite it (of the 140,884 whose bibliographies we read) · 24 with a page here, the most cited first · ← the paper

1. SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding SystemsAlex Wang, Yada Pruksachatkun, Nikita Nangia, et al.2019 · 2,187 citations
2. CIDEr: Consensus-based Image Description EvaluationRamakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh2014 · 733 citations
3. Red Teaming Language Models with Language ModelsEthan Perez, Saffron Huang, Francis Song, et al.2022 · 665 citations
4. A Structured Review of the Validity of BLEUEhud Reiter2018 · 538 citations
5. Manual and Automatic Evaluation of Machine Translation between European LanguagesPhilipp Koehn, Christof Monz2006 · 433 citations
6. Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation MetricsNitika Mathur, Timothy Baldwin, Trevor Cohn2020 · 385 citations
7. Reformulating Unsupervised Style Transfer as Paraphrase GenerationKalpesh Krishna, John Wieting, Mohit Iyyer2020 · 348 citations
8. Statistical Approaches to Computer-Assisted TranslationSergio Barrachina, Oliver Bender, Francisco Casacuberta, et al.2008 · 313 citations
9. Why We Need New Evaluation Metrics for NLGJekaterina Novikova, Ondřej Dušek, Amanda Cercas Curry, et al.2017 · 287 citations
10. A Survey of Paraphrasing and Textual Entailment MethodsIon Androutsopoulos, Prodromos Malakasiotis2009 · 280 citations
11. A Comparison of Pivot Methods for Phrase-Based Statistical Machine TranslationMasao Utiyama, Hitoshi Isahara2007 · 263 citations
12. BLEU is Not Suitable for the Evaluation of Text SimplificationElior Sulem, Omri Abend, Ari Rappoport2018 · 255 citations
13. BLEU might be Guilty but References are not InnocentMarkus Freitag, David Grangier, Isaac Caswell2020 · 223 citations
14. (Meta-) Evaluation of Machine TranslationChris Callison-Burch, Cameron Fordyce, Philipp Koehn, et al.2007 · 206 citations
15. Learning Compact Metrics for MTAmy Pu, Hyung Won Chung, Ankur Parikh, et al.2021 · 130 citations
16. Fast, Cheap, and Creative: Evaluating Translation Quality Using Amazon's Mechanical TurkChris Callison-Burch2009 · 112 citations
17. Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE CorpusLuisa Bentivogli, Beatrice Savoldi, Matteo Negri, et al.2020 · 100 citations
18. Towards broad coverage surface realization with CCGMichael White, Rajakrishnan Rajkumar, Scott Martin2007 · 73 citations
19. Taking MT Evaluation Metrics to Extremes: Beyond Correlation with Human JudgmentsMarina Fomicheva, Lucia Specia2019 · 44 citations
20. Discourse Structure in Machine Translation EvaluationShafiq Joty, Francisco Guzmán, Lluís Màrquez, et al.2017 · 40 citations
21. Machine Translation Meta Evaluation through Translation Accuracy Challenge SetsNikita Moghe, Arnisa Fazla, Chantal Amrhein, et al.2025 · 28 citations
22. Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated?Ajay Patel, Nicholas Andrews, Chris Callison-Burch2022 · 24 citations
23. Towards Heterogeneous Automatic MT Error AnalysisJesús Giménez, Lluís Màrquez2008 · 13 citations
24. OasisSimp: An Open-source Asian-English Sentence Simplification DatasetHannah Liu, Murphy Tian, Iqra Ali, et al.2026

268 more papers of our library cite it; they have no page here yet.

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