Phonotactic Learning with Structure, Not Statistics

Abstract We provide empirical evidence against Wilson & Gallagher’s 2018 claim that statistics is necessary for phonotactic learning. We implement BUFIA, a feature-based nonstatistical learner and, using the same data and case study as Wilson & Gallagher, show that this non-statistical learner is equally successful at learning phonotactics as the Maximum Entropy-based learner they use. This counters their conclusion that non-statistical phonotactic learning is impossible, while supporting their advocacy for feature-based representations in phonotactic learning.