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date: 25 May 2020

Abstract and Keywords

This chapter provides a broad overview of recent research on constraint-based learning of phonology. The review covers the major results and the contributions of a wide range of approaches, comparing the computational properties and learning implications of these theories. Specifically, the review encompasses learning in classic OT as well as learning in related frameworks that formalize constraint interaction as (probabilistic) weighting or ranking. The learning problem is decomposed into several subproblems that highlight the complexity of the learning problem facing the child learner. The discussion emphasizes the challenges posed by these various subproblems, the insights and differences of the proposed solutions, and the outstanding questions that require further research.

Keywords: phonology, learnability, constraint ranking, constraint weighting, computational phonology, hidden structure, subset problem, modeling acquisition

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