Stochastic Optimality Theory

Stochastic Optimality Theory is a formal linguistic framework within generative grammar that extends classical Optimality Theory by incorporating probabilistic constraints, thereby allowing competing grammatical outputs to be ranked not absolutely but in terms of weighted stochastic preferences.

39

Publications

4.9K

Citations

70

Authors

35

Institutions

Publications per year

2017–2026

2

Authors

70

  1. PB
    Paul Boersma

    University of Amsterdam, Netherlands

    4 publications · 200 citations

    4

    h-index

  2. RJ
    Robert J. Gegear

    University of Toronto, Canada

    2 publications · 141 citations

    2

    h-index

  3. ME
    Mirjam Ernestus

    Max Planck Institute for Psycholinguistics, Netherlands

    2 publications · 278 citations

    2

    h-index

  4. DL
    Donald Ludwig

    University of British Columbia, Canada

    2 publications · 212 citations

    2

    h-index

  5. PA
    Peter A. Abrams

    University of Toronto, Canada

    2 publications · 212 citations

    2

    h-index

1–5 of 70

Venues

  1. Language

    4 publications · 1.2K citations

    4

    h-index

  2. UvA-DARE (University of Amsterdam)

    Repository · 2 publications · 75 citations

    2

    h-index

  3. The American Naturalist

    AN · 2 publications · 141 citations

    2

    h-index

  4. Phonology

    2 publications · 167 citations

    2

    h-index

  5. Evolution

    2 publications · 212 citations

    2

    h-index

1–5