|Title:||Calibration of constraint promotion does not help with learning variation in stochastic OT|
|Authors:||Giorgio Magri, Benjamin Storme|
|Comment:||to appear in Linguistic Inquiry|
|Length:||24 pages + 11 pages of supplementary material|
|Abstract:||The Calibrated error-driven ranking algorithm (CEDRA; Magri 2012) is shown to fail on two test cases of phonologically conditioned variation from Boersma and Hayes (2001). The failure of CEDRA raises a serious unsolved challenge for learnability research in stochastic OT, because CEDRA itself was proposed to repair a learnability problem (Pater 2008) encountered by the original GLA. This result is supported by both simulation results and a detailed analysis whereby a few constraints and a few candidates at the time are recursively ‘peeled off’ until we are left with a ‘core’ small enough that the behavior of the learner is easy to interpret.|
|Area/Keywords:||Stochastic OT; learnability analysis|
Magri and Storme: to appear. Calibration of constraint promotion does not help with learning variation in stochastic OT.
Posted in Research (e.g. papers, books)