Rules Constraints And Phonological Phenomena

This volume of new work by prominent phonologists goes to the heart of current debates in phonological and linguistic theory: should the explanation of phonological variety be constraint or rule-based and, in the light of the resolution of this question, how in the mind does phonology interface with other components of the grammar. The book includes contributions from leading proponents of both sides of the argument and an extensive introduction setting out the history, nature, andmore general linguistic implications of current phonological theory.

This volume of new work by prominent phonologists goes to the heart of current debates in phonological and linguistic theory: should the explanation of phonological variety be constraint or rule-based and, in the light of the resolution of this question, how in the mind does phonology interface with other components of the grammar. The book includes contributions from leading proponents of both sides of the argument and an extensive introduction setting out the history, nature, and more general linguistic implications of current phonological theory.

Over the past three decades, phonological theory has advanced in many areas, but it has changed little in its foundational assumptions about how computational processes can serve as a basis for the theory. This volume suggests that it may be worthwhile to reconsider some of those assumptions. Is there an order to the rules in a phonological derivation? What kinds of links other than derivations are possible between the level of mental representation and the level of speech sounds? Since phonological representations are so much more sophisticated today than they were a few decads ago, do we need any phonological rules at all? In this provocative book, leading linguists and computer scientists consider the challenges that computational innovations pose to current rule-based phonological theories and speculate about the advantages of phonological models based on artificial neural networks and other computer designs. The authors offer new conceptions of phonological theory for the 1990s, the most radical of which proposes that phonological processes cannot be characterized by rules at all, but arise from the dynamics of a system of phonological representations in a high-dimensional vector space of the sort that a neural network embodies. This new view of phonology is becoming increasingly attractive to linguists and others in the cognitive sciences because it answers some difficult questions about learning while drawing on recent results in philosophy, psychology, artificial intelligence, and neuroscience. The contributors are John A. Goldsmith, Larry M. Hyman, George Lakoff, K. P. Mohanan, David S. Touretzky, and Deirdre W. Wheeler.

This outstanding 2004 volume presents an overview of linguistic research into the acquisition of phonology. Bringing together well-known researchers in the field, it focuses on constraints in phonological acquisition (as opposed to rules), and offers concrete examples of the formalization of phonological development in terms of constraint ranking. The first two chapters situate the research in its broader context, with an introduction by the editors providing a brief general tutorial on Optimality Theory. Chapter two serves to highlight the history of constraints in studies of phonological development, which predates their current ascent to prominence in phonological theory. The remaining chapters address a number of partially overlapping themes: the study of child production data in terms of constraints, learnability issues, perceptual development and its relation to the development of production, and second-language acquisition.

This volume, first published in 2001, brings together work by scholars researching the details of featural phonology with optimality theory.

This volume is the first to provide an up-to-date and comprehensive history of phonology from the earliest known examples of phonological thinking, through the rise of phonology as a field in the twentieth century, and up to the most recent advances. The volume is divided into five parts. Part I offers an account of writing systems along with chapters exploring the great ancient and medieval intellectual traditions of phonological thought that form the foundation of later thinking and continue to enrich phonological theory. Chapters in Part II describe the important schools and individuals of the late nineteenth and early twentieth centuries who shaped phonology as an organized scientific field. Part III examines mid-twentieth century developments in phonology in the Soviet Union, Northern and Western Europe, and North America; it continues with precursors to generative grammar, and culminates in a chapter on Chomsky and Halle's The Sound Pattern of English (SPE). Part IV then shows how phonological theorists responded to SPE with respect to derivations, representations, and phonology-morphology interaction. Theories discussed include Dependency Phonology, Government Phonology, Constraint-and-Repair theories, and Optimality Theory. The part ends with a chapter on the study of variation. Finally, chapters in Part V look at new methods and approaches, covering phonetic explanation, corpora and phonological analysis, probabilistic phonology, computational modelling, models of phonological learning, and the evolution of phonology. This in-depth exploration of the history of phonology provides new perspectives on where phonology has been and sheds light on where it could go next.

Over the past three decades, phonological theory has advanced in many areas, but it has changed little in its foundational assumptions about how computational processes can serve as a basis for the theory. This volume suggests that it may be worthwhile to reconsider some of those assumptions. Is there an order to the rules in a phonological derivation? What kinds of links other than derivations are possible between the level of mental representation and the level of speech sounds? Since phonological representations are so much more sophisticated today than they were a few decads ago, do we need any phonological rules at all? In this provocative book, leading linguists and computer scientists consider the challenges that computational innovations pose to current rule-based phonological theories and speculate about the advantages of phonological models based on artificial neural networks and other computer designs. The authors offer new conceptions of phonological theory for the 1990s, the most radical of which proposes that phonological processes cannot be characterized by rules at all, but arise from the dynamics of a system of phonological representations in a high-dimensional vector space of the sort that a neural network embodies. This new view of phonology is becoming increasingly attractive to linguists and others in the cognitive sciences because it answers some difficult questions about learning while drawing on recent results in philosophy, psychology, artificial intelligence, and neuroscience. The contributors are John A. Goldsmith, Larry M. Hyman, George Lakoff, K. P. Mohanan, David S. Touretzky, and Deirdre W. Wheeler.