Alderete and Tupper 2016: Connectionist Approaches to Generative Phonology

Connectionist approaches to generative phonology John Alderete, Paul Tupper Abstract: While connectionist models are ubiquitous in psycholinguistic approaches to language processing, they are less well-known as generative models of grammar. This work surveys a literature in which connectionist models have been developed to address problems central to generative phonology. The focus is on explaining to… Read more »

Alderete, Tupper, & Frisch 2013: Phonological constraint induction

Phonological constraint induction in a connnectionist network: Learning OCP-Place constraints from data John Alderete, Paul Tupper, Stefan A. Frisch Abstract: A significant problem in computational language learning is that of inferring the content of well-formedness constraints from input data. In this article, we approach the constraint induction problem as the gradual adjustment of subsymbolic constraints… Read more »

Alderete, Tupper, & Frisch 2014: Arabic phonotactic learner

Phonotactic learning without a-priori constraints: Arabic root restrictions revisited John Alderete, Paul Tupper, Stefan A. Frisch Abstract: In this article, we develop a connectionist model of learning phonotactics and apply it to the problem of learning root cooccurrence restrictions in Arabic. In particular, a multilayer network with a hidden layer is trained on a representative… Read more »