Statistical learning refers to the ability to identify structure in the input based on its statistical properties. For many linguistic structures, the relevant statistical features are distributional: They are related to the frequency and variability of exemplars in the input. These distributional regularities have been suggested to play a role in…

When speaking, how do we convert our thoughts into the sounds that come out of our mouths? Though seemingly effortless, the process of word production is realized by a complex system working over different levels of representation. By focusing on the sublexical factors, this work investigates the representations and dynamics of the word production…

Language is a complex adaptive system: Speakers are agents who interact with each other, and their past and current interactions feed into speakers' future behavior in complex ways. In this article, we describe the social cognitive linguistic basis for this analysis of language and a mathematical model developed in collaboration between…