Equiprobable mappings in weighted constraint grammars
Arto Anttila, Scott Borgeson, Giorgio Magri
direct link: http://ling.auf.net/lingbuzz/004670
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 ]|
(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|