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Voice Quality

By John H. Esling, Scott R. Moisik, Allison Benner, Lise Crevier-Buchman

Voice Quality "The first description of voice quality production in forty years, this book provides a new framework for its study: The Laryngeal Articulator Model. Informed by instrumental examinations of the laryngeal articulatory mechanism, it revises our understanding of articulatory postures to explain the actions, vibrations and resonances generated in the epilarynx and pharynx."


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Let's Talk

By David Crystal

Let's Talk "Explores the factors that motivate so many different kinds of talk and reveals the rules we use unconsciously, even in the most routine exchanges of everyday conversation."



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Dissertation Information


Title: Towards 'PATR-DOP': Implementing a Stochastic Parser for Phrase Disambiguation Add Dissertation
Author: Neil Thompson Update Dissertation
Email: click here to access email
Institution: University of Essex, MA Computational Linguistics
Completed in: 2002
Linguistic Subfield(s): Computational Linguistics;
Director(s): Doug Arnold

Abstract: Data oriented parsing is a technique which is able to assign probabilities to data in a corpus at many different levels. In this dissertation an implementation in Prolog obtains probabilities of tree structures and feature structures and uses these to find the most probable representation for a new input sentence. A simple top down parser is found to perform relatively well in this environment. Two techniques - Monte Carlo parsing and a proposed complementary derivation-restricting technique are used to reduce the data load and parse times.