Learnability in Optimality Theory

Learnability in Optimality Theory
Title Learnability in Optimality Theory PDF eBook
Author Bruce Tesar
Publisher MIT Press
Pages 158
Release 2000-05-08
Genre Language Arts & Disciplines
ISBN 9780262264884

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Highlighting the close relationship between linguistic explanation and learnability, Bruce Tesar and Paul Smolensky examine the implications of Optimality Theory (OT) for language learnability. Highlighting the close relationship between linguistic explanation and learnability, Bruce Tesar and Paul Smolensky examine the implications of Optimality Theory (OT) for language learnability. They show how the core principles of OT lead to the learning principle of constraint demotion, the basis for a family of algorithms that infer constraint rankings from linguistic forms. Of primary concern to the authors are the ambiguity of the data received by the learner and the resulting interdependence of the core grammar and the structural analysis of overt linguistic forms. The authors argue that iterative approaches to interdependencies, inspired by work in statistical learning theory, can be successfully adapted to address the interdependencies of language learning. Both OT and Constraint Demotion play critical roles in their adaptation. The authors support their findings both formally and through simulations. They also illustrate how their approach could be extended to other language learning issues, including subset relations and the learning of phonological underlying forms.

Optimality Theory

Optimality Theory
Title Optimality Theory PDF eBook
Author Rene Kager
Publisher Cambridge University Press
Pages 472
Release 1999-06-28
Genre Language Arts & Disciplines
ISBN 9780521589802

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This is an introduction to Optimality Theory, whose central idea is that surface forms of language reflect resolutions of conflicts between competing constraints. A surface form is 'optimal' if it incurs the least serious violations of a set of constraints, taking into account their hierarchical ranking. Languages differ in the ranking of constraints; and any violations must be minimal. The book does not limit its empirical scope to phonological phenomena, but also contains chapters on the learnability of OT grammars; OT's implications for syntax; and other issues such as opacity. It also reviews in detail a selection of the considerable research output which OT has already produced. Exercises accompany chapters 1-7, and there are sections on further reading. Optimality Theory will be welcomed by any linguist with a basic knowledge of derivational Generative Phonology.

Optimality Theory

Optimality Theory
Title Optimality Theory PDF eBook
Author Alan Prince
Publisher John Wiley & Sons
Pages 304
Release 2008-04-15
Genre Language Arts & Disciplines
ISBN 0470759399

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This book is the final version of the widely-circulated 1993 Technical Report that introduces a conception of grammar in which well-formedness is defined as optimality with respect to a ranked set of universal constraints. Final version of the widely circulated 1993 Technical Report that was the seminal work in Optimality Theory, never before available in book format. Serves as an excellent introduction to the principles and practice of Optimality Theory. Offers proposals and analytic commentary that suggest many directions for further development for the professional.

Optimality Theory, Phonological Acquisition and Disorders

Optimality Theory, Phonological Acquisition and Disorders
Title Optimality Theory, Phonological Acquisition and Disorders PDF eBook
Author Daniel A. Dinnsen
Publisher Equinox Publishing (Indonesia)
Pages 540
Release 2008
Genre Language Arts & Disciplines
ISBN

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Focusing on the phonologies of children with functional (non-organic) speech disorders, this volume reports the latest findings in optimality theory, phonological acquisition and disorders. The book is based on typological, cross-sectional, longitudinal, and experimental evidence from over 200 children. It stands out because of the unique test case that the population offers to optimality theory, particularly with respect to puzzles of opacity, lawful orders of acquisition, and language learnability. Beyond its theoretical significance, this research holds clinical relevance for the assessment and treatment of disordered populations, most notably the systematic prediction of learning outcomes. This volume bridges the gap between theory and application by showing how each informs the other. It is intended for linguists, psychologists, speech pathologists, second-language instructors and those interested in the latest developments in phonological theory and its applied extensions.

Optimality Theory in Phonology

Optimality Theory in Phonology
Title Optimality Theory in Phonology PDF eBook
Author John J. McCarthy
Publisher John Wiley & Sons
Pages 624
Release 2008-04-15
Genre Language Arts & Disciplines
ISBN 0470755520

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Optimality Theory in Phonology: A Reader is a collection of readings on this important new theory by leading figures in the field, including a lengthy excerpt from Prince and Smolensky’s never-before-published Optimality Theory: Constraint Interaction in Generative Grammar. Compiles the most important readings about Optimality Theory in phonology from some of the most prominent researchers in the field. Contains 33 excerpts spanning a range of topics in phonology and including many never-before-published papers. Includes a lengthy excerpt from Prince and Smolensky’s foundational 1993 manuscript Optimality Theory: Constraint Interaction in Generative Grammar. Includes introductory notes and study/research questions for each chapter.

A Thematic Guide to Optimality Theory

A Thematic Guide to Optimality Theory
Title A Thematic Guide to Optimality Theory PDF eBook
Author John J. McCarthy
Publisher Cambridge University Press
Pages 432
Release 2002
Genre Language Arts & Disciplines
ISBN 9780521796446

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Explains and explores the central premises of OT and the results of their praxis.

Understanding Machine Learning

Understanding Machine Learning
Title Understanding Machine Learning PDF eBook
Author Shai Shalev-Shwartz
Publisher Cambridge University Press
Pages 415
Release 2014-05-19
Genre Computers
ISBN 1107057132

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Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.