Speaker: Michelle Fullwood
Title: Learning nonconcatenative morphological units via Bayesian
inference
Date/Time: Monday, Oct 1, 5-7p
Location: 32-D831
(This is a practice talk for NECPhon.)
I will demonstrate an extension to the Goldwater model of
Bayesian morphological segmentation (Goldwater, Griffiths & Johnson
2009) to handle the unsupervised learning of nonconcatenative
morphologies for languages such as Arabic and Hebrew. I will then
discuss a number of linguistic questions that can receive empirical
answers by applying the extended model to actual lexica.