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Computer Science

D-Index
38
Citations
9014
World Ranking
10025
National Ranking
4224

Overview

Martin Chodorow is affiliated with the City University of New York in the United States. Their research primarily spans the field of Psychology, with a focus on several key subfields including Genetics, Developmental and Educational Psychology, Artificial Intelligence, Cognitive Neuroscience, and Social Psychology.

Their main topics of work encompass areas such as Human-Animal Interaction Studies, Language Development and Disorders, Neurobiology of Language and Bilingualism, Insect and Pesticide Research, Wildlife Conservation and Criminology Analyses, Multilingual Education and Policy, and Primate Behavior and Ecology.

Martin Chodorow has collaborated frequently with several coauthors, notably Qihui Xu, Ping Li, Magdalena Markowska, Yingying Peng, and Minghua Wu. These collaborations reflect in a diverse range of studies and publications across their fields of interest.

Their recent published papers include:

  • Exploring innovative problem-solving in African lions (Panthera leo) and snow leopards (Panthera uncia), 2022, Behavioural Processes
  • Modeling Bilingual Lexical Processing Through Code-Switching Speech: A Network Science Approach, 2021, Frontiers in Psychology
  • Large language models without grounding recover non-sensorimotor but not sensorimotor features of human concepts, 2025, Nature Human Behaviour
  • Day and night camera trap videos are effective for identifying individual wild Asian elephants, 2023, PeerJ
  • How infants' utterances grow: A probabilistic account of early language development, 2022, Cognition

The frequent publication venues for Martin Chodorow include:

  • Scientific Reports
  • Frontiers in Psychology
  • Behavioural Processes
  • Nature Human Behaviour
  • PeerJ

Best Publications

  • Using corpus statistics and WordNet relations for sense identification

    Claudia Leacock;George A. Miller;Martin Chodorow

  • C-rater: Automated Scoring of Short-Answer Questions

    Claudia Leacock;Martin Chodorow

  • Stumping e-rater:challenging the validity of automated essay scoring

    Donald E. Powers;Jill C. Burstein;Martin Chodorow;Mary E. Fowles

  • Automated essay evaluation: the criterion online writing service

    Jill Burstein;Martin Chodorow;Claudia Leacock

  • EXTRACTING SEMANTIC HIERARCHIES FROM A LARGE ON-LINE DICTIONARY

    Martin S. Chodorow;Roy J. Byrd;George E. Heidorn

  • Using a semantic concordance for sense identification

    George A. Miller;Martin Chodorow;Shari Landes;Claudia Leacock

  • Detecting errors in English article usage by non-native speakers

    Na-Rae Han;Martin Chodorow;Claudia Leacock

  • Re-examining Machine Translation Metrics for Paraphrase Identification

    Nitin Madnani;Joel Tetreault;Martin Chodorow

  • The EPISTLE text-critiquing system

    G. E. Heidorn;K. Jensen;L. A. Miller;R. J. Byrd

  • Automated Scoring Using A Hybrid Feature Identification Technique

    Jill Burstein;Karen Kukich;Susanne Wolff;Chi Lu

  • The Ups and Downs of Preposition Error Detection in ESL Writing

    Joel R. Tetreault;Martin Chodorow

  • TOEFL11: A CORPUS OF NON‐NATIVE ENGLISH

    Daniel Blanchard;Joel Tetreault;Derrick Higgins;Aoife Cahill

  • Detection of Grammatical Errors Involving Prepositions

    Martin Chodorow;Joel Tetreault;Na-Rae Han

  • Tools and methods for computational lexicology

    Roy J. Byrd;Nicoletta Calzolari;Martin S. Chodorow;Judith L. Klavans

  • BEYOND ESSAY LENGTH: EVALUATING E-RATER®'S PERFORMANCE ON TOEFL® ESSAYS

    Martin Chodorow;Jill Burstein

  • Automated essay scoring for nonnative English speakers

    Jill Burstein;Martin Chodorow

  • An unsupervised method for detecting grammatical errors

    Martin Chodorow;Claudia Leacock

  • Criterion SM Online Essay Evaluation: An Application for Automated Evaluation of Student Essays

    Jill Burstein;Martin Chodorow;Claudia Leacock

  • The utility of article and preposition error correction systems for English language learners: Feedback and assessment:

    Martin Chodorow;Michael Gamon;Joel Tetreault

  • Enriching Automated Essay Scoring Using Discourse Marking.

    Jill Burstein;Karen Kukich;Susanne Wolff;Chi Lu

  • System and method for computer-based automatic essay scoring

    Jill C. Burstein;Lisa Braden-Harder;Martin S. Chodorow;Bruce A. Kaplan

Frequent Co-Authors

Joel Tetreault
Joel Tetreault Yahoo (United Kingdom)
Jill Burstein
Jill Burstein Princeton University
George A. Miller
George A. Miller Princeton University
Michael Gamon
Michael Gamon Microsoft (United States)
Judith L. Klavans
Judith L. Klavans University of Maryland, College Park
Daniel Marcu
Daniel Marcu University of Southern California
Donald A. Rock
Donald A. Rock Princeton University
Ralph Grishman
Ralph Grishman New York University

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