Equiprobable mappings in weighted constraint grammars
July 12, 2019 ยท Declared Dead ยท ๐ 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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