| Moses: Open source toolkit for statistical machine translation P Koehn, H Hoang, A Birch, C Callison-Burch, M Federico, N Bertoldi, ... Proceedings of the 45th annual meeting of the association for computational …, 2007 | 7311 | 2007 |
| Re-evaluating the role of BLEU in machine translation research C Callison-Burch, M Osborne, P Koehn Proceedings of EACL 2006, 249-256, 2006 | 1086 | 2006 |
| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 1058 | 2022 |
| PPDB: The paraphrase database J Ganitkevitch, B Van Durme, C Callison-Burch Proceedings of NAACL-HLT, 758-764, 2013 | 965 | 2013 |
| Findings of the 2009 workshop on statistical machine translation C Callison-Burch, P Koehn, C Monz, J Schroeder | 858 | 2009 |
| Paraphrasing with bilingual parallel corpora C Bannard, C Callison-Burch Proceedings of the 43rd Annual Meeting on Association for Computational …, 2005 | 795 | 2005 |
| A data-driven analysis of workers' earnings on Amazon Mechanical Turk K Hara, A Adams, K Milland, S Savage, C Callison-Burch, JP Bigham Proceedings of the 2018 CHI conference on human factors in computing systems …, 2018 | 715 | 2018 |
| Optimizing statistical machine translation for text simplification W Xu, C Napoles, E Pavlick, Q Chen, C Callison-Burch Transactions of the Association for Computational Linguistics 4, 401-415, 2016 | 669 | 2016 |
| Method and apparatus for providing multilingual translation over a network J Chin, C Callison-Burch, R Flournoy, P Hidisyan, R Horiuchi, Y Kassum, ... US Patent App. 09/825,437, 2001 | 669 | 2001 |
| Fast, cheap, and creative: Evaluating translation quality using Amazon’s Mechanical Turk C Callison-Burch Proceedings of the 2009 conference on empirical methods in natural language …, 2009 | 657 | 2009 |
| Crowdsourcing translation: professional quality from non-professionals OF Zaidan, C Callison-Burch Proceedings of ACL (this volume), 2011 | 527 | 2011 |
| Problems in current text simplification research: New data can help W Xu, C Callison-Burch, C Napoles Transactions of the Association for Computational Linguistics 3, 283-297, 2015 | 518 | 2015 |
| Deduplicating training data makes language models better K Lee, D Ippolito, A Nystrom, C Zhang, D Eck, C Callison-Burch, N Carlini arXiv preprint arXiv:2107.06499, 2021 | 493 | 2021 |
| Edinburgh system description for the 2005 IWSLT speech translation evaluation P Koehn, A Axelrod, AB Mayne, C Callison-Burch, M Osborne, D Talbot International Workshop on Spoken Language Translation, 2005 | 457 | 2005 |
| Creating speech and language data with amazon’s mechanical turk C Callison-Burch, M Dredze Proceedings of the NAACL HLT 2010 workshop on creating speech and language …, 2010 | 443 | 2010 |
| Arabic dialect identification OF Zaidan, C Callison-Burch Computational Linguistics 40 (1), 171-202, 2014 | 418 | 2014 |
| Improved statistical machine translation using paraphrases C Callison-Burch, P Koehn, M Osborne Proceedings of the Human Language Technology Conference of the NAACL, Main …, 2006 | 399 | 2006 |
| PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification E Pavlick, P Rastogi, J Ganitkevitch, B Van Durme, C Callison-Burch Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 394 | 2015 |
| Automatic detection of generated text is easiest when humans are fooled D Ippolito, D Duckworth, C Callison-Burch, D Eck arXiv preprint arXiv:1911.00650, 2019 | 319 | 2019 |
| Further meta-evaluation of machine translation C Callison-Burch, C Fordyce, P Koehn, C Monz, J Schroeder Proceedings of the Third Workshop on Statistical Machine Translation, 70-106, 2008 | 316 | 2008 |
Philipp KoehnProfessor, Johns Hopkins UniversityVerified email at jhu.edu
