Humans are remarkably sensitive to the statistical structure of language. However, different mechanisms have been proposed to account for such statistical sensitivities. The present study compared adult learning of syntax and the ability of two models of statistical learning to simulate human performance: Simple Recurrent Networks, which learn by…

This dissertation uses the processing of anaphoric relations to probe how linguistic information is encoded in and retrieved from memory during real-time sentence comprehension. More specifically, the dissertation attempts to resolve a tension between the demands of a linguistic processor implemented in a general-purpose cognitive architecture and…

Formulaic language is widely recognized to be of central importance to fluent and idiomatic language use. However, the mechanics of how formulaic language is acquired are not well understood. Some researchers (e.g. Nick Ellis) believe that the chunking inherent in formulaic language drives the language learning process. Others (e.g. Wray) claim…