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
Parents
39
Learning OT constraint rankings using a maximum entropy model
Sharon Goldwater, Mark Johnson · 2003 · 275 citations
A maximum entropy model for prepositional phrase attachment
Adwait Ratnaparkhi, Jeff Reynar, Salim Roukos · 1994 · 207 citations · Full text
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University of California, Merced
Merced, United States
2 h-index
2 publications
46 citations

University of Massachusetts Amherst
Amherst Center, United States
2 h-index
2 publications
101 citations
University of Oxford
Oxford, United Kingdom
1 h-index
2 publications
818 citations
Universitat Politècnica de València
Valencia, Spain
1 h-index
2 publications
36 citations
Universidad del Noreste
Tampico, Mexico
1 h-index
1 publications
42 citations

University of Manchester
Manchester, United Kingdom
1 h-index
1 publications
95 citations
John Brown University
Siloam Springs, United States
1 h-index
1 publications
275 citations
IBM (United States)
Armonk, United States
1 h-index
3 publications
621 citations
1–8 of 39
6 publications · 385 citations
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2 publications · 120 citations
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Repository · 1 publications · 21 citations
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1 publications · 143 citations
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1 publications · 33 citations
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