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Robin Melnick

Assistant Professor of Linguistics and Cognitive Science
With Pomona Since: 2016
  • Expertise

    Expertise

    As a linguist and cognitive scientist, Robin Melnick is particularly interested in quantitative, experimental and computational study of language variation—socio-cultural, historical, cross-linguistic—but especially that variation we see within the individual speaker, moment-to-moment choice, as a lens through which we may explore what underlies language structure and triggers change.

    Research Interests

    • Probabilistic grammar and stochastic models of variation
    • Cognition of language/psycholinguistics, especially processing motivations in linguistic phenomena
    • Corpus and computational methods in language and cognitive sciences
    • Sociolinguistic and diachronic variation
    • Empirical and computational syntax

    Areas of Expertise

    • Psycholinguistics, cognition of language
    • Quantitative variation
    • Corpus and computational methods
    • Statistics for linguistics
  • Education

    Education

    Ph.D., Linguistics, designation in Cognitive Science
    Stanford University

    M.A., Linguistics
    Stanford University

    M.A., Linguistics, certificate in Computational Linguistics
    San José State University

    B.A., Computer Science
    University of California, Berkeley

    Recent Courses Taught

    • Topics in Quantitative Linguistics
    • Introduction to Linguistics
    • Psycholinguistics
    • Corpus Linguistics
    • Computational Linguistics