This dissertation investigates the soft typology of phonological patterns. By studying the types of patterns observed in the world's languages, we can do more than determine what is attested and what is unattested, or what is possible and what is impossible, but discover a wide range of more gradient phenomena. Phonological patterns range from…

In this article, we develop a hierarchical Bayesian model of learning in a general type of artificial language-learning experiment in which learners are exposed to a mixture of grammars representing the variation present in real learners' input, particularly at times of language change. The modeling goal is to formalize and quantify hypothesized…

Typologists have long observed that there are certain distributional patterns that are not evenly distributed among the world's languages. This discussion note revisits a recent experimental investigation of one such intriguing case, so-called "universal 18", by Culbertson, Smolensky, and Legendre (2012). The authors find that adult learners are…