Equiprobable mappings in weighted constraint grammars
Arto Anttila, Scott Borgeson, Giorgio Magri
June 2019
 

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.
Format: [ pdf ]
Reference: lingbuzz/004670
(please use that when you cite this article)
Published in: SIGMORPHON 2019: 16th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology (best paper)
keywords: maxent, stochastic harmonic grammar, finnish word stress, phonology
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