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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.
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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