Paper

Statistical Learning Theory and Linguistic Typology: a Learnability Perspective on OT’s Strict Domination

Authors: Émile Enguehard (École Normale Supérieure) , Edward Flemming (MIT) , Giorgio Magri (CNRS)

Abstract

This paper develops a learnability argument for strict domination by looking at the generalization error of learners trained on OT and HG target grammars. The argument is based on both a review of error bounds in the recent statistical learning literature and simulation results on realistic phonological test cases.

Keywords: constraint-based phonology, Harmonic Grammar, strict domination, learnability, generalization error, binary classification

How to Cite: Enguehard, É. , Flemming, E. & Magri, G. (2018) “Statistical Learning Theory and Linguistic Typology: a Learnability Perspective on OT’s Strict Domination”, Society for Computation in Linguistics. 1(1). doi: https://doi.org/10.7275/R5BP010Z