Analytic bias in coocurrence restrictions
Name
899215197-MIT.pdf
Description
Full printable version
Size
6.07 MB
Format
Adobe PDF
Checksum (MD5)
f02c535dd87e0a114fc70561d9948a2e
Author(s)
Brohan, Anthony
Advisor(s)
Adam Albright.
Date Issued
2014
Publisher
Massachusetts Institute of Technology
Abstract
The representation, content and learning of phonotactic constraints has spurred a lot of recent research phonology. This work concerns the constraints involved in the representation of place-based coocurrence restrictions. A single OCP-[PLACE] constraint is argued to compete in in constraint learning with other place-based and feature-based coocurrence constraints. The key prediction of this constraint participating in learning is generalization of a coocurrence restriction on to a novel place. This prediction, along with others, are tested in a series of artificial language learning experiments. A modification of the existing Hayes and Wilson (2008) phonotactic learner is presented (HWgain). This modified model is more robust in inducing gradient constraints, induces more general constraints and significantly improves on regression fit with English well-formedness ratings
Description
Thesis: S.M., Massachusetts Institute of Technology, Department of Linguistics and Philosophy, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 57-59).
Subjects
Linguistics and Philosophy.
MIT Department
Massachusetts Institute of Technology. Department of Linguistics and Philosophy
Terms of Use
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