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Extending Hidden Structure Learning: Features, Opacity, And Exceptions, Aleksei I. Nazarov
Extending Hidden Structure Learning: Features, Opacity, And Exceptions, Aleksei I. Nazarov
Doctoral Dissertations
This dissertation explores new perspectives in phonological hidden structure learning (inferring structure not present in the speech signal that is necessary for phonological analysis; Tesar 1998, Jarosz 2013a, Boersma and Pater 2016), and extends this type of learning towards the domain of phonological features, towards derivations in Stratal OT (Bermúdez-Otero 1999), and towards exceptionality indices in probabilistic OT. Two more specific themes also come out: the possibility of inducing instead of pre-specifying the space of possible hidden structures, and the importance of cues in the data for triggering the use of hidden structure. In chapters 2 and 4, phonological features …