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
Parents
39
Optimality theory in evolutionary biology
George A. Parker, John Maynard Smith · Nature · 1990 · 1K citations
Grammar is grammar and usage is usage
Frederick J. Newmeyer · Language · 2003 · 597 citations · Full text
The Chicken or the Egg? A Probabilistic Analysis of English Binomials
Sarah Bunin Benor, Roger Lévy · Language · 2006 · 301 citations
1–5 of 39
70
4
h-index
2
h-index
Max Planck Institute for Psycholinguistics, Netherlands
2 publications · 278 citations
2
h-index
2
h-index
2
h-index
1–5 of 70
35
Max Planck Society
Munich, Germany
2 h-index
3 publications
546 citations

University of Toronto
Toronto, Canada
2 h-index
6 publications
423 citations
University of Arizona
Tucson, United States
2 h-index
2 publications
77 citations
Max Planck Institute for Psycholinguistics
Nijmegen, The Netherlands
2 h-index
3 publications
546 citations
Yale University
New Haven, United States
2 h-index
2 publications
183 citations

University of Amsterdam
Amsterdam, The Netherlands
2 h-index
3 publications
82 citations
Stanford University
Stanford, United States
1 h-index
1 publications
32 citations
Utrecht University
Utrecht, The Netherlands
1 h-index
1 publications
52 citations
1–8 of 35
4 publications · 1.2K citations
4
h-index
Repository · 2 publications · 75 citations
2
h-index
AN · 2 publications · 141 citations
2
h-index
2 publications · 167 citations
2
h-index
2 publications · 212 citations
2
h-index
1–5