| 2017 | ACL | Using Global Constraints and Reranking to Improve Cognates Detection. | Michael Bloodgood, Benjamin Strauss |
| 2014 | EACL | Translation memory retrieval methods. | Michael Bloodgood, Benjamin Strauss |
| 2013 | CoNLL | Analysis of Stopping Active Learning based on Stabilizing Predictions. | Michael Bloodgood, John Grothendieck |
| 2012 | ACL | Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing. | Vinodkumar Prabhakaran, Michael Bloodgood, Mona T. Diab, Bonnie J. Dorr, Lori S. Levin, Christine D. Piatko, Owen Rambow, Benjamin Van Durme |
| 2010 | ACL | Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation. | Michael Bloodgood, Chris Callison-Burch |
| 2010 | AMTA | Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach. | Kathryn Baker, Michael Bloodgood, Chris Callison-Burch, Bonnie J. Dorr, Nathaniel Wesley Filardo, Lori S. Levin, Scott Miller, Christine D. Piatko |
| 2010 | LREC | A Modality Lexicon and its use in Automatic Tagging. | Kathrin Baker, Michael Bloodgood, Bonnie J. Dorr, Nathaniel Wesley Filardo, Lori S. Levin, Christine D. Piatko |
| 2010 | NAACL | Using Mechanical Turk to Build Machine Translation Evaluation Sets. | Michael Bloodgood, Chris Callison-Burch |
| 2009 | CoNLL | A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping. | Michael Bloodgood, K. Vijay-Shanker |
| 2009 | NAACL | Taking into Account the Differences between Actively and Passively Acquired Data: The Case of Active Learning with Support Vector Machines for Imbalanced Datasets. | Michael Bloodgood, K. Vijay-Shanker |