Error-driven learning in Optimality Theory and Harmonic Grammar: a comparison
Giorgio Magri · Phonology · 2016
OT error-driven learning admits guarantees of efficiency, stochastic tolerance and noise robustness which hold independently of any substantive assumptions on the constraints. This paper shows that the HG learner used in the current literature does not admit such constraint-independent guarantees. The HG theory of error-driven learning thus needs to be substantially restricted to specific constraint sets.