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This collection of papers from Eighth Conference on Laboratory Phonology
(held in New Haven, CT) explores what laboratory data that can tell us
about the nature of speakers' phonological competence and how they acquire
it, and outlines models of the human phonological capacity that can meet
the challenge of formalizing that competence. The window on the
phonological capacity is broadened by including, for the first time in the
Laboratory Phonology series, work on signed languages and papers that
explicitly compare signed and spoken phonologies.
A major focus, cutting across signed and spoken phonologies, is that
phonological competence must include both qualitative (or categorical) and
quantitative (or variable) knowledge. Theoretical approaches represented in
the collection for accommodating these types of knowledge include
modularity, dynamical grammars, and probabilistic grammars. A second major
focus is on the acquisition of this knowledge. Here the papers pursue the
consequences for acquisition of taking into account the richness and
variability of the adult systems that provide input to the child. The final
focus is on how phonological knowledge guides speech production. Data and
models address the question of how speech gestures interact with one
another locally (through articulatory constraints and syllable-level
organization) and how they interact with the prosodic structure of an
utterance.
The twenty-six papers in the collection include invited contributions from
Diane Brentari, David Corina, David Perlmutter, D. Robert Ladd, Diamandis
Gafos, Marilyn Vihman, Shelley Velleman, Stefanie Shattuck-Hufnagel, and
Dani Byrd.
Contents
I. Qualitative and variable faces of phonological competence
Spoken languages
Convergences and divergences of signed and spoken languages
Signed Languages
II. Sources of variation and their role in the acquisition of
phonological competence
III. Knowledge of language-specific organization of
speech gestures
Interaction of prosody and gestures
Local gesture interaction and perception
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