Roger Levy

Roger Levy

Massachusetts Institute of Technology

H-index: 52

North America-United States

About Roger Levy

Roger Levy, With an exceptional h-index of 52 and a recent h-index of 43 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Computational Psycholinguistics, Computational Linguistics, Sentence Processing, Cognitive Science, Computational Pragmatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Bayesian Model of Multimodal Phonemic Category Learning

Language models align with human judgments on key grammatical constructions

Lexical-semantic content, not syntactic structure, is the main contributor to ANN-brain similarity of fMRI responses in the language network

Cognitive Computational Neuroscience of Language: Using Computational Models to Investigate Language Processing in the Brain

Large-scale evidence for logarithmic effects of word predictability on reading time

Generative knowledge and item-specific knowledge trade off as a function of frequency in multiword expression processing

Eye Movement Traces of Linguistic Knowledge in Native and Non-Native Reading

Comprehenders’ Error Correction Mechanisms are Finely Calibrated to Language Production Statistics

Roger Levy Information

University

Position

Associate Professor of Brain & Cognitive Sciences

Citations(all)

23369

Citations(since 2020)

14059

Cited By

14860

hIndex(all)

52

hIndex(since 2020)

43

i10Index(all)

119

i10Index(since 2020)

97

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

Roger Levy Skills & Research Interests

Computational Psycholinguistics

Computational Linguistics

Sentence Processing

Cognitive Science

Computational Pragmatics

Top articles of Roger Levy

Title

Journal

Author(s)

Publication Date

A Bayesian Model of Multimodal Phonemic Category Learning

Sophia Zhi

Roger Levy

Stephan Meylan

2024/2/26

Language models align with human judgments on key grammatical constructions

arXiv preprint arXiv:2402.01676

Jennifer Hu

Kyle Mahowald

Gary Lupyan

Anna Ivanova

Roger Levy

2024/1/19

Lexical-semantic content, not syntactic structure, is the main contributor to ANN-brain similarity of fMRI responses in the language network

Neurobiology of Language

Carina Kauf

Greta Tuckute

Roger Levy

Jacob Andreas

Evelina Fedorenko

2024/4/1

Cognitive Computational Neuroscience of Language: Using Computational Models to Investigate Language Processing in the Brain

Alessandro Lopopolo

Evelina Fedorenko

Roger Levy

Milena Rabovsky

2024/3/7

Large-scale evidence for logarithmic effects of word predictability on reading time

Proceedings of the National Academy of Sciences

Cory Shain

Clara Meister

Tiago Pimentel

Ryan Cotterell

Roger Levy

2024/3/5

Generative knowledge and item-specific knowledge trade off as a function of frequency in multiword expression processing

Emily Morgan

Roger Philip Levy

2023/3/7

Eye Movement Traces of Linguistic Knowledge in Native and Non-Native Reading

Open Mind

Yevgeni Berzak

Roger Levy

2023

Comprehenders’ Error Correction Mechanisms are Finely Calibrated to Language Production Statistics

Peng Qian

Roger Philip Levy

2023/9/26

The neural dynamics of word recognition and integration

Jon Gauthier

Roger P Levy

2023/12/1

Simplicity and Informativeness in the Evolution of Combinatorial Structure

Proceedings of the Annual Meeting of the Cognitive Science Society

Matthias Hofer

Simon Kirby

Roger Levy

2023

A Cross-Linguistic Pressure for Uniform Information Density in Word Order

Transactions of the Association for Computational Linguistics

Thomas Hikaru Clark

Clara Meister

Tiago Pimentel

Michael Hahn

Ryan Cotterell

...

2023/8/15

The neural dynamics of auditory word recognition and integration

arXiv preprint arXiv:2305.13388

Jon Gauthier

Roger Levy

2023/5/22

Prompting is not a substitute for probability measurements in large language models

Jennifer Hu

Roger P Levy

2023/12/1

Expectations over unspoken alternatives predict pragmatic inferences

Transactions of the Association for Computational Linguistics

Jennifer Hu

Roger Levy

Judith Degen

Sebastian Schuster

2023

How adults understand what young children say

Nature Human Behaviour

Stephan C Meylan

Ruthe Foushee

Nicole H Wong

Elika Bergelson

Roger P Levy

2023/12

Prompt-based methods may underestimate large language models' linguistic generalizations

arXiv preprint arXiv:2305.13264

Jennifer Hu

Roger Levy

2023/5/22

Testing the predictions of surprisal theory in 11 languages

Transactions of the Association for Computational Linguistics

Ethan G Wilcox

Tiago Pimentel

Clara Meister

Ryan Cotterell

Roger P Levy

2023/12/14

[TACL] Expectations over unspoken alternatives predict pragmatic inferences

The 61st Annual Meeting Of The Association For Computational Linguistics

Jennifer Hu

Roger Levy

Judith Degen

Sebastian Schuster

2023/7

Using computational models to test syntactic learnability

Linguistic Inquiry

Ethan Gotlieb Wilcox

Richard Futrell

Roger Levy

2023/4/20

A Bayesian account of the perceptual magnet effect

Roger Levy

2023/10/25

See List of Professors in Roger Levy University(Massachusetts Institute of Technology)

Co-Authors

H-index: 158
Christopher D Manning

Christopher D Manning

Stanford University

H-index: 158
Keith Rayner

Keith Rayner

University of California, San Diego

H-index: 68
Edward (Ted) Gibson

Edward (Ted) Gibson

Massachusetts Institute of Technology

H-index: 63
Gert Lanckriet

Gert Lanckriet

University of California, San Diego

H-index: 41
Steven T. Piantadosi

Steven T. Piantadosi

University of California, Berkeley

H-index: 39
Christoph Scheepers

Christoph Scheepers

University of Glasgow

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