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…

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…