2026-09-19T11:15:27Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/930262022-01-13T07:54:02Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Adam Albright.
Brohan, Anthony
Massachusetts Institute of Technology. Department of Linguistics and Philosophy.
Massachusetts Institute of Technology. Department of Linguistics and Philosophy
2015-01-20T17:55:24Z
2015-01-20T17:55:24Z
2014
2014
http://hdl.handle.net/1721.1/93026
899215197
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).
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
by Anthony Brohan.
S.M.
59 pages
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Linguistics and Philosophy.
Analytic bias in coocurrence restrictions
Thesis
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<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</Abstract>
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