Roger Levy, Ph.D.
Affiliations: | 2006-2012 | Linguistics | University of California, San Diego, La Jolla, CA |
2012- | Brain and Cognitive Sciences | Massachusetts Institute of Technology, Cambridge, MA, United States |
Area:
machine learning, languageWebsite:
http://cpl.mit.edu/Google:
"Roger Levy"Cross-listing: LinguisTree
Parents
Sign in to add mentorChristopher Manning | grad student | 2005 | Stanford (E-Tree) | |
(Probabilistic models of word order and syntactic discontinuity.) |
Children
Sign in to add traineeWednesday R. Bushong | research assistant | (Neurotree) | |
Irene Zhou | research assistant | 2020-2022 | MIT (Neurotree) |
Jon Gauthier | grad student | 2017- | MIT (E-Tree) |
Benjamin Lipkin | grad student | 2022- | (Neurotree) |
Klinton Bicknell | grad student | 2011 | UCSD (LinguisTree) |
Nathaniel J. Smith | grad student | 2011 | UCSD (Neurotree) |
Bozena Pajak | grad student | 2012 | UCSD (LinguisTree) |
Rebecca I. Colavin | grad student | 2013 | UCSD (LinguisTree) |
Yonghahk A. Park | grad student | 2013 | UCSD (Neurotree) |
Gabriel R. Doyle | grad student | 2014 | UCSD (LinguisTree) |
Richard L. J. Futrell | grad student | 2016-2017 | MIT (Neurotree) |
Till Poppels | grad student | 2020 | UCSD (LinguisTree) |
Eva Wittenberg | post-doc | (LinguisTree) |
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Hu J, Mahowald K, Lupyan G, et al. (2024) Language models align with human judgments on key grammatical constructions. Proceedings of the National Academy of Sciences of the United States of America. 121: e2400917121 |
Lopopolo A, Fedorenko E, Levy R, et al. (2024) Cognitive Computational Neuroscience of Language: Using Computational Models to Investigate Language Processing in the Brain. Neurobiology of Language (Cambridge, Mass.). 5: 1-6 |
Kauf C, Tuckute G, Levy R, et al. (2024) Lexical-Semantic Content, Not Syntactic Structure, Is the Main Contributor to ANN-Brain Similarity of fMRI Responses in the Language Network. Neurobiology of Language (Cambridge, Mass.). 5: 7-42 |
Shain C, Meister C, Pimentel T, et al. (2024) Large-scale evidence for logarithmic effects of word predictability on reading time. Proceedings of the National Academy of Sciences of the United States of America. 121: e2307876121 |
Zhan M, Chen S, Levy R, et al. (2023) Rational Sentence Interpretation in Mandarin Chinese. Cognitive Science. 47: e13383 |
Kauf C, Tuckute G, Levy R, et al. (2023) Lexical semantic content, not syntactic structure, is the main contributor to ANN-brain similarity of fMRI responses in the language network. Biorxiv : the Preprint Server For Biology |
Berzak Y, Nakamura C, Smith A, et al. (2022) CELER: A 365-Participant Corpus of Eye Movements in L1 and L2 English Reading. Open Mind : Discoveries in Cognitive Science. 6: 41-50 |
Hahn M, Futrell R, Levy R, et al. (2022) A resource-rational model of human processing of recursive linguistic structure. Proceedings of the National Academy of Sciences of the United States of America. 119: e2122602119 |
Jara-Ettinger J, Levy R, Sakel J, et al. (2022) The origins of the shape bias: Evidence from the Tsimane'. Journal of Experimental Psychology. General |
Wehbe L, Blank IA, Shain C, et al. (2021) Incremental Language Comprehension Difficulty Predicts Activity in the Language Network but Not the Multiple Demand Network. Cerebral Cortex (New York, N.Y. : 1991) |