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About this book
This book presents the theory of output-driven maps and provides a fresh perspective on the extent to which phonologies can be characterized in terms of restrictions on outputs. Closely related to traditional conceptions of process opacity, but differing in notable ways, the theory of output-driven maps applies equally to SPE-style ordered rules, Optimality Theory, and other phonological theories. It permits a formally rigorous analysis of the issues in Optimality Theory that is not possible with traditional process opacity. Also presented is a theory of phonological learning. Building on prior work on learning in Optimality Theory, the learning theory exploits the formal structure of output-driven maps to achieve learning that is far more computationally efficient than comparable prior approaches. In this book Bruce Tesar, one of the founders of the study of learnability in Optimality Theory, presents fresh perspectives in an accessible way for graduate students and academic researchers.
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Information
Table of contents
- Coverpage
- Half-title page
- Series page
- Title page
- Copyright page
- Epigraph
- Contents
- Figures
- Acknowledgments
- 1 Characterizing surface orientedness in phonology
- 2 Output-driven maps
- 3 Output-driven maps in Optimality Theory
- 4 Analysis of constraint behavior
- 5 Learning phonotactics
- 6 Learning with paradigmatic information
- 7 Exploiting output drivenness in learning
- 8 Paradigmatic subsets
- 9 Linguistic theory and language learnability
- References
- Index