Speaker: Heidi Durresi (MIT)
Title: Comparing different predictions of learnability on typology
Time: Monday, November 24th, 5pm – 6:30pm
Location: 32-D831
Abstract: Stanton (2016) is not only an argument for learnability shaping typology, but also that the Gradual Learning Algorithm (GLA; Boersma 1997, Magri 2012) is the vehicle for it. In this talk, I will discuss some preliminary ideas on comparing the typological predictions of alternative learning models on pathological stress patterns. Learning strategies discussed include Error-Selective Learning (Tessier 2007) and Expectation Driven Learning (Jarosz 2015).