Equiprobable mappings in weighted constraint grammars

July 12, 2019 ยท Declared Dead ยท ๐Ÿ› Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology

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Authors Arto Anttila, Scott Borgeson, Giorgio Magri arXiv ID 1907.05839 Category cs.CL: Computation & Language Cross-listed cs.LG Citations 7 Venue Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology Last Checked 5 months ago
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.
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