--- title: "Who cites Re-evaluating the Role of Bleu in Machine…" description: "292 papers of the Elamur Research library cite «Re-evaluating the Role of Bleu in Machine Translation Research», found in their bibliographies; the most…" canonical: "https://research.elamur.ai/free/en/papers/burch-2006-re-evaluating-role-bleu-machine/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/burch-2006-re-evaluating-role-bleu-machine/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Re-evaluating the Role of Bleu in Machine…](https://md.research.elamur.ai/free/en/papers/burch-2006-re-evaluating-role-bleu-machine/) / cited by # 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](https://md.research.elamur.ai/free/en/papers/burch-2006-re-evaluating-role-bleu-machine/) 1. [**SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems**Alex Wang, Yada Pruksachatkun, Nikita Nangia, et al.*2019 · 2,187 citations*](https://md.research.elamur.ai/free/en/papers/wang-2019-superglue-stickier-benchmark-general-purpose/) 2. [**CIDEr: Consensus-based Image Description Evaluation**Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh*2014 · 733 citations*](https://md.research.elamur.ai/free/en/papers/vedantam-2014-cider-consensus-based-image-description/) 3. [**Red Teaming Language Models with Language Models**Ethan Perez, Saffron Huang, Francis Song, et al.*2022 · 665 citations*](https://md.research.elamur.ai/free/en/papers/perez-2022-red-teaming-language-models-language/) 4. [**A Structured Review of the Validity of BLEU**Ehud Reiter*2018 · 538 citations*](https://md.research.elamur.ai/free/en/papers/reiter-2018-structured-review-validity-bleu/) 5. [**Manual and Automatic Evaluation of Machine Translation between European Languages**Philipp Koehn, Christof Monz*2006 · 433 citations*](https://md.research.elamur.ai/free/en/papers/koehn-2006-manual-automatic-evaluation-machine-translation/) 6. [**Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics**Nitika Mathur, Timothy Baldwin, Trevor Cohn*2020 · 385 citations*](https://md.research.elamur.ai/free/en/papers/mathur-2020-tangled-up-bleu-reevaluating-evaluation/) 7. [**Reformulating Unsupervised Style Transfer as Paraphrase Generation**Kalpesh Krishna, John Wieting, Mohit Iyyer*2020 · 348 citations*](https://md.research.elamur.ai/free/en/papers/krishna-2020-reformulating-unsupervised-style-transfer-as/) 8. [**Statistical Approaches to Computer-Assisted Translation**Sergio Barrachina, Oliver Bender, Francisco Casacuberta, et al.*2008 · 313 citations*](https://md.research.elamur.ai/free/en/papers/barrachina-2009-statistical-approaches-computer-assisted-translation/) 9. [**Why We Need New Evaluation Metrics for NLG**Jekaterina Novikova, Ondřej Dušek, Amanda Cercas Curry, et al.*2017 · 287 citations*](https://md.research.elamur.ai/free/en/papers/novikova-2017-why-we-need-new-evaluation/) 10. [**A Survey of Paraphrasing and Textual Entailment Methods**Ion Androutsopoulos, Prodromos Malakasiotis*2009 · 280 citations*](https://md.research.elamur.ai/free/en/papers/androutsopoulos-2009-survey-paraphrasing-textual-entailment-methods/) 11. [**A Comparison of Pivot Methods for Phrase-Based Statistical Machine Translation**Masao Utiyama, Hitoshi Isahara*2007 · 263 citations*](https://md.research.elamur.ai/free/en/papers/utiyama-2007-comparison-pivot-methods-phrase-based/) 12. [**BLEU is Not Suitable for the Evaluation of Text Simplification**Elior Sulem, Omri Abend, Ari Rappoport*2018 · 255 citations*](https://md.research.elamur.ai/free/en/papers/sulem-2018-bleu-is-not-suitable-evaluation/) 13. [**BLEU might be Guilty but References are not Innocent**Markus Freitag, David Grangier, Isaac Caswell*2020 · 223 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2020-bleu-might-be-guilty-but/) 14. [**(Meta-) Evaluation of Machine Translation**Chris Callison-Burch, Cameron Fordyce, Philipp Koehn, et al.*2007 · 206 citations*](https://md.research.elamur.ai/free/en/papers/burch-2007-meta-evaluation-machine-translation/) 15. [**Learning Compact Metrics for MT**Amy Pu, Hyung Won Chung, Ankur Parikh, et al.*2021 · 130 citations*](https://md.research.elamur.ai/free/en/papers/pu-2021-learning-compact-metrics-mt/) 16. [**Fast, Cheap, and Creative: Evaluating Translation Quality Using Amazon's Mechanical Turk**Chris Callison-Burch*2009 · 112 citations*](https://md.research.elamur.ai/free/en/papers/burch-2009-fast-cheap-creative-evaluating-translation/) 17. [**Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus**Luisa Bentivogli, Beatrice Savoldi, Matteo Negri, et al.*2020 · 100 citations*](https://md.research.elamur.ai/free/en/papers/bentivogli-2020-gender-danger-evaluating-speech-translation/) 18. [**Towards broad coverage surface realization with CCG**Michael White, Rajakrishnan Rajkumar, Scott Martin*2007 · 73 citations*](https://md.research.elamur.ai/free/en/papers/white-2007-broad-coverage-surface-realization-ccg/) 19. [**Taking MT Evaluation Metrics to Extremes: Beyond Correlation with Human Judgments**Marina Fomicheva, Lucia Specia*2019 · 44 citations*](https://md.research.elamur.ai/free/en/papers/fomicheva-2019-taking-mt-evaluation-metrics-extremes/) 20. [**Discourse Structure in Machine Translation Evaluation**Shafiq Joty, Francisco Guzmán, Lluís Màrquez, et al.*2017 · 40 citations*](https://md.research.elamur.ai/free/en/papers/joty-2017-discourse-structure-machine-translation-evaluation/) 21. [**Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets**Nikita Moghe, Arnisa Fazla, Chantal Amrhein, et al.*2025 · 28 citations*](https://md.research.elamur.ai/free/en/papers/moghe-2025-machine-translation-meta-evaluation-through/) 22. [**Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated?**Ajay Patel, Nicholas Andrews, Chris Callison-Burch*2022 · 24 citations*](https://md.research.elamur.ai/free/en/papers/patel-2022-low-resource-authorship-style-transfer/) 23. [**Towards Heterogeneous Automatic MT Error Analysis**Jesús Giménez, Lluís Màrquez*2008 · 13 citations*](https://md.research.elamur.ai/free/en/papers/gimenez-2008-heterogeneous-automatic-mt-error-analysis/) 24. [**OasisSimp: An Open-source Asian-English Sentence Simplification Dataset**Hannah Liu, Murphy Tian, Iqra Ali, et al.*2026*](https://md.research.elamur.ai/free/en/papers/liu-2026-oasissimp-open-source-asian-english/) 268 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/burch-2006-re-evaluating-role-bleu-machine/) — Re-evaluating the Role of Bleu in Machine Translation Research