Shaping Phonology
Shaping Phonology
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Abstract
Within the last 40 years the field of phonology has undergone several important theoretical shifts with regard to phonological representation that have now become part of standard practice in the field. The two shifts that will be taken up in this volume have some properties in common—i) both have had the effect of taking phonological analysis “off the page”, that made it necessary to think of phonology in multi-dimensional space, and ii) John Goldsmith has been a major force in bringing about these changes. The first section of this volume has to do with a radical elaboration of the abstract domains (or units of analysis) that come under the purview of phonology, along with a more multi-dimensional approach to considering their role in the system. Autosegmental phonology (Goldsmith, 1976) and feature geometry (Clements, 1981; Sagey, 1986) demonstrated this multidimensionality of phonological representation. The second radical shift that occurred in the mid-1990s has to do with machine learning and the computational techniques that phonologists had begun using to analyze large amounts of data. The empiricist view to linguistics (Goldsmith 2015) makes us rethink what doing linguistics really means. With the ability to employ computational tools that allow for the analysis of larger and larger data sets, the field has shifted from being satisfied to look for key examples that demonstrate a particular generalization to striving for statistical generalizations across large corpora of relevant data.
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Front Matter
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Part One Autosegmental Phonology
John Coleman-
A. History
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B. Applications to Tone
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C. Extensions of the Theory
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Five
Autosegments Are Not Just Features
D. Robert Ladd
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Six
The Importance of Autosegmental Representations for Sign Language Phonology
Diane Brentari
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Seven
Abstract Underlying Representations in Prosodic Structure
Bert Vaux andBridget D. Samuels
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Eight
Sonority Waves in Syllabification
Caroline Wiltshire
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Nine
Toward Progress in Theories of Language Sound Structure
Mark Liberman
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Five
Autosegments Are Not Just Features
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Part Two Computation and Unsupervised Learning
John Coleman-
Ten
On the Discovery Procedure
Jackson L. Lee
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Eleven
Model Selection and Phonological Argumentation
ames Kirby andMorgan Sonderegger
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Twelve
The Dynamics of Prominence Profiles: From Local Computation to Global Patterns
Khalil Iskarous andLouis Goldstein
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Thirteen
French Liaison in the Light of Corpus Phonology: From Lexical Information to Patterns of Usage Variation
Bernard Laks and others
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Fourteen
A Phonological Approach to the Unsupervised Learning of Root-and-Pattern Morphology
Aris Xanthos
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Ten
On the Discovery Procedure
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End Matter
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