🧑‍🔬 Who cites Miles Osborne

702 citations of their works from 684 papers of our library (of the 140,884 whose bibliographies we read) · 40 with a page here, the most cited first · ← Miles Osborne

1. Active Learning Literature SurveyBurr Settles2009 · 4,889 citations
2. SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding SystemsAlex Wang, Yada Pruksachatkun, Nikita Nangia, et al.2019 · 2,187 citations
3. CIDEr: Consensus-based Image Description EvaluationRamakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh2014 · 733 citations
4. Red Teaming Language Models with Language ModelsEthan Perez, Saffron Huang, Francis Song, et al.2022 · 665 citations
5. A Structured Review of the Validity of BLEUEhud Reiter2018 · 538 citations
6. Experiments in Domain Adaptation for Statistical Machine TranslationPhilipp Koehn, Josh Schroeder2007 · 481 citations
7. Automatic Evaluation of Translation Quality for Distant Language PairsHideki Isozaki, Tsutomu Hirao, Kevin Duh, et al.2010 · 461 citations
8. Manual and Automatic Evaluation of Machine Translation between European LanguagesPhilipp Koehn, Christof Monz2006 · 433 citations
9. Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation MetricsNitika Mathur, Timothy Baldwin, Trevor Cohn2020 · 385 citations
10. cdec: A Decoder, Alignment, and Learning Framework for Finite-State and Context-Free Translation ModelsChris Dyer, Adam Lopez, Juri Ganitkevitch, et al.2010 · 372 citations
11. Maximum Entropy Based Phrase Reordering Model for Statistical Machine TranslationDeyi Xiong, Qun Liu, Shouxun Lin2006 · 360 citations
12. Reformulating Unsupervised Style Transfer as Paraphrase GenerationKalpesh Krishna, John Wieting, Mohit Iyyer2020 · 348 citations
13. Statistical Approaches to Computer-Assisted TranslationSergio Barrachina, Oliver Bender, Francisco Casacuberta, et al.2008 · 313 citations
14. Why We Need New Evaluation Metrics for NLGJekaterina Novikova, Ondřej Dušek, Amanda Cercas Curry, et al.2017 · 287 citations
15. A Survey of Paraphrasing and Textual Entailment MethodsIon Androutsopoulos, Prodromos Malakasiotis2009 · 280 citations
16. How Noisy Social Media Text, How Diffrnt Social Media Sources?Timothy Baldwin, Paul Cook, Marco Lui, et al.2013 · 275 citations
17. A Comparison of Pivot Methods for Phrase-Based Statistical Machine TranslationMasao Utiyama, Hitoshi Isahara2007 · 263 citations
18. BLEU is Not Suitable for the Evaluation of Text SimplificationElior Sulem, Omri Abend, Ari Rappoport2018 · 255 citations
19. Generalizing Word Lattice TranslationChristopher Dyer, Smaranda Muresan, Philip Resnik2008 · 249 citations
20. SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)Wei Xu, Chris Callison-Burch, Bill Dolan2015 · 230 citations
21. BLEU might be Guilty but References are not InnocentMarkus Freitag, David Grangier, Isaac Caswell2020 · 223 citations
22. (Meta-) Evaluation of Machine TranslationChris Callison-Burch, Cameron Fordyce, Philipp Koehn, et al.2007 · 206 citations
23. Jointly Learning to Align and Translate with Transformer ModelsSarthak Garg, Stephan Peitz, Udhyakumar Nallasamy, et al.2019 · 199 citations
24. Analyzing Uncertainty in Neural Machine TranslationMyle Ott, Michael Auli, David Grangier, et al.2018 · 190 citations
25. Fill-up versus interpolation methods for phrase-based SMT adaptationArianna Bisazza, Nick Ruiz, Marcello Federico2011 · 152 citations
26. Learning Compact Metrics for MTAmy Pu, Hyung Won Chung, Ankur Parikh, et al.2021 · 130 citations
27. Fast, Cheap, and Creative: Evaluating Translation Quality Using Amazon's Mechanical TurkChris Callison-Burch2009 · 112 citations
28. Measuring Machine Translation Errors in New DomainsAnn Irvine, John Morgan, Marine Carpuat, et al.2013 · 104 citations
29. Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE CorpusLuisa Bentivogli, Beatrice Savoldi, Matteo Negri, et al.2020 · 100 citations
30. Towards broad coverage surface realization with CCGMichael White, Rajakrishnan Rajkumar, Scott Martin2007 · 73 citations
31. Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generationThiago Castro Ferreira, Iacer Calixto, Sander Wubben, et al.2017 · 46 citations
32. Taking MT Evaluation Metrics to Extremes: Beyond Correlation with Human JudgmentsMarina Fomicheva, Lucia Specia2019 · 44 citations
33. Discourse Structure in Machine Translation EvaluationShafiq Joty, Francisco Guzmán, Lluís Màrquez, et al.2017 · 40 citations
34. Feature-Rich Translation by Quasi-Synchronous Lattice ParsingKevin Gimpel, Noah A. Smith2009 · 30 citations
35. Machine Translation Meta Evaluation through Translation Accuracy Challenge SetsNikita Moghe, Arnisa Fazla, Chantal Amrhein, et al.2025 · 28 citations
36. Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated?Ajay Patel, Nicholas Andrews, Chris Callison-Burch2022 · 24 citations
37. Anaphora Models and Reordering for Phrase-Based SMTChristian Hardmeier, Sara Stymne, Jörg Tiedemann, et al.2014 · 13 citations
38. Towards Heterogeneous Automatic MT Error AnalysisJesús Giménez, Lluís Màrquez2008 · 13 citations
39. First Results in a Study Evaluating Pre-annotation and Correction Propagation for Machine-Assisted Syriac Morphological AnalysisPaul Felt, Eric Ringger, Kevin Seppi, et al.2012 · 5 citations
40. OasisSimp: An Open-source Asian-English Sentence Simplification DatasetHannah Liu, Murphy Tian, Iqra Ali, et al.2026

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