Maximum Entropy Grammar

Maximum Entropy Grammar is a probabilistic optimization framework within phonological theory that, as a member of the class of grammatical models in Optimality Theory, distinguishes itself by assigning grammaticality probabilities to output candidates through a log-linear distribution based on weighted constraint violations, thereby integrating stochasticity and gradient acceptability into a traditionally categorical constraint-ranking system.

39

Publications

3.6K

Citations

57

Authors

39

Institutions

Publications per year

2017–2026

8

Variants

Maxent Grammar

Authors

57

  1. AR
    Adwait Ratnaparkhi

    Yahoo (United States), United States

    4 publications · 544 citations

    4

    h-index

  2. JC
    James Curran

    The University of Sydney, Australia

    2 publications · 511 citations

    2

    h-index

  3. SS
    Stephanie S. Shih

    University of California, Berkeley, United States

    2 publications · 46 citations

    2

    h-index

  4. JP
    Joe Pater

    University of Massachusetts Amherst, United States

    2 publications · 101 citations

    2

    h-index

  5. SC
    Stephen Clark

    University of Cambridge, United Kingdom

    2 publications · 511 citations

    2

    h-index

1–5 of 57

Venues

  1. Phonology

    6 publications · 385 citations

    6

    h-index

  2. 2

    h-index

  3. eScholarship (California Digital Library)

    Repository · 1 publications · 21 citations

    1

    h-index

  4. Linguistics

    1 publications · 143 citations

    1

    h-index

  5. Language

    1 publications · 33 citations

    1

    h-index

1–5