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Title:Equiprobable mappings in weighted constraint grammars
Authors: Arto Anttila, Scott Borgeson, Giorgio Magri
Comment:SIGMORPHON 2019: 16th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology (best paper)
Length:10 pp.
Abstract:We show that MaxEnt is so rich that it can distinguish between any two different mappings: there always exists a nonnegative weight vector which assigns them different MaxEnt probabilities. Stochastic HG instead does admit equiprobable mappings and we give a complete formal characterization of them. We compare these different predictions of the two frameworks on a test case of Finnish stress.
Type:Paper/tech report
Area/Keywords:phonology, formal analysis
Article:Version 1