Direct link: http://roa.rutgers.edu/content/article/files/1769_giorgio_magri_1.pdf
| ROA: | 1349 |
|---|---|
| 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. |
| Type: | Paper/tech report |
| Area/Keywords: | Stochastic OT; learnability analysis |