World's Best Scientists 2026 revealed!
Roger Levy

Roger Levy

D-Index & Metrics

Computer Science

D-Index
48
Citations
12824
World Ranking
6071
National Ranking
2736

Research.com Recognitions

  • 2012 - Fellow of Alfred P. Sloan Foundation

Overview

Roger Levy is affiliated with MIT in the United States and works primarily in the field of Computer Science. Their research spans several subfields, including Artificial Intelligence, Cognitive Neuroscience, Developmental and Educational Psychology, Language and Linguistics, and Cultural Studies.

The main topics they have focused on include:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Neurobiology of Language and Bilingualism
  • Text Readability and Simplification
  • Reading and Literacy Development
  • Speech and Dialogue Systems
  • Language and Cultural Evolution

Roger Levy has contributed extensively to academic literature, with a notable presence in frequent publication venues such as:

  • arXiv (Cornell University)
  • Transactions of the Association for Computational Linguistics
  • Proceedings of the National Academy of Sciences
  • Language
  • Open Mind

Their recent papers demonstrate diverse research interests and include the following works:

  • "Lossy-Context Surprisal: An Information-Theoretic Model of Memory Effects in Sentence Processing", 2020, published in Cognitive Science
  • "On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior", 2020, published in arXiv (Cornell University)
  • "Large-scale evidence for logarithmic effects of word predictability on reading time", 2024, published in Proceedings of the National Academy of Sciences
  • "Dependency locality as an explanatory principle for word order", 2020, published in Language
  • "Incremental Language Comprehension Difficulty Predicts Activity in the Language Network but Not the Multiple Demand Network", 2021, published in Cerebral Cortex

Frequent collaborators in research with Roger Levy include:

  • Peng Qian
  • Richard Futrell
  • Clara Meister
  • Tiago Pimentel
  • Ryan Cotterell

In recognition of their work, Roger Levy was awarded the Fellow of Alfred P. Sloan Foundation in 2012.

Best Publications

  • Expectation-based syntactic comprehension

    Roger Levy

  • A new approach to cross-modal multimedia retrieval

    Nikhil Rasiwasia;Jose Costa Pereira;Emanuele Coviello;Gabriel Doyle

  • The effect of word predictability on reading time is logarithmic

    Nathaniel J. Smith;Roger Levy

  • Speakers optimize information density through syntactic reduction

    T. F. Jaeger;Roger P. Levy

  • How Efficiency Shapes Human Language.

    Edward Gibson;Richard Futrell;Steven P. Piantadosi;Isabelle Dautriche

  • On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval

    Jose Costa Pereira;Emanuele Coviello;Gabriel Doyle;Nikhil Rasiwasia

  • Tregex and Tsurgeon: tools for querying and manipulating tree data structures.

    Roger Levy;Galen Andrew

  • Is it Harder to Parse Chinese, or the Chinese Treebank?

    Roger Levy;Christopher D. Manning

  • Eye movement evidence that readers maintain and act on uncertainty about past linguistic input

    Roger Levy;Klinton Bicknell;Tim Slattery;Keith Rayner

  • The Chicken or the Egg? A Probabilistic Analysis of English Binomials

    Sarah Bunin Benor;Roger Levy

  • A Systematic Assessment of Syntactic Generalization in Neural Language Models

    Jennifer Hu;Jon Gauthier;Peng Qian;Ethan Wilcox

  • A Noisy-Channel Model of Human Sentence Comprehension under Uncertain Input

    Roger Levy

  • What do RNN Language Models Learn about Filler-Gap Dependencies?

    Ethan Wilcox;Roger Levy;Takashi Morita;Richard Futrell

  • Pragmatic reasoning through semantic inference

    Leon Bergen;Roger Levy;Noah Goodman

  • Neural language models as psycholinguistic subjects: Representations of syntactic state.

    Richard Futrell;Ethan Wilcox;Takashi Morita;Peng Qian

  • Lossy‐Context Surprisal: An Information‐Theoretic Model of Memory Effects in Sentence Processing

    Richard Futrell;Edward Gibson;Roger P. Levy

  • A noisy-channel model of rational human sentence comprehension under uncertain input

    Roger Levy

  • Integrating surprisal and uncertain-input models in online sentence comprehension: formal techniques and empirical results

    Roger Levy

  • A generative model for semantic role labeling

    Cynthia A. Thompson;Roger Levy;Christopher D. Manning

  • Modeling the effects of memory on human online sentence processing with particle filters

    Roger P. Levy;Florencia Reali;Thomas L. Griffiths

  • Embedded implicatures as pragmatic inferences under compositional lexical uncertainty

    Christopher Potts;Daniel Lassiter;Roger Levy;Michael C. Frank

  • The processing of extraposed structures in English.

    Roger Levy;Evelina Fedorenko;Mara Breen;Edward A. Gibson

Frequent Co-Authors

Keith Rayner
Keith Rayner University of California, San Diego
Christopher D. Manning
Christopher D. Manning Stanford University
Noah D. Goodman
Noah D. Goodman Stanford University
Frank Keller
Frank Keller University of Edinburgh
Michael C. Frank
Michael C. Frank Stanford University
Ryan Cotterell
Ryan Cotterell ETH Zurich

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