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Learning in Harmonic Serialism and the necessity of a richer base*

Published online by Cambridge University Press:  20 May 2014

Anne-Michelle Tessier*
Affiliation:
University of Alberta
Karen Jesney*
Affiliation:
University of Southern California

Abstract

This paper reassesses the hypothesis that early phonotactic learning of constraint-based grammars relies on the Identity Map – i.e. it uses observed surface forms as the inputs which cause errors and drive learning via constraint reranking. We argue that this approach's success is closely tied to Optimality Theory's fully parallel grammatical evaluation. In the constraint-based derivational framework of Harmonic Serialism (HS; McCarthy 2000, 2007b ), reliance on observed surface forms as inputs can block the discovery of ‘hidden rankings’ between markedness constraints, preventing the learner from discovering a restrictive grammar. This paper illustrates the problem, using a pattern of positional vowel restrictions in Punu (Kwenzi Mikala 1980), and considers the role of various learning assumptions. We conclude that hidden rankings are a fundamental obstacle to restrictive error-driven learning in any HS-like framework, and that learning in such frameworks inevitably requires consideration of some unattested surface forms as inputs, even at the earliest learning stages.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2014 

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Footnotes

*

We wish to thank the three anonymous Phonology reviewers and the editors for their generous and challenging questions, and especially for their comments that compelled us to search for a real-world language example. For suggestions and feedback on this and related work, we also thank Michael Becker, John McCarthy, Claire Moore-Cantwell, Joe Pater, Robert Staubs, Matt Wolf and audiences at NELS 42, MIT, the University of Michigan and the University of Toronto.

References

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