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Explaining the PENTA model: a reply to Arvaniti and Ladd*

Published online by Cambridge University Press:  15 February 2016

Yi Xu ,
Albert Lee ,
Santitham Prom-on  and
Fang Liu
Yi Xu*
Affiliation:
University College London
Albert Lee*
Affiliation:
University of Hong Kong
Santitham Prom-on*
Affiliation:
King Mongkut's University of Technology Thonburi
Fang Liu*
Affiliation:
University of Essex
*
E-mail: yi.xu@ucl.ac.uk, albertlee@hku.hk, santitham@cpe.kmutt.ac.th, f.liu@essex.ac.uk.
E-mail: yi.xu@ucl.ac.uk, albertlee@hku.hk, santitham@cpe.kmutt.ac.th, f.liu@essex.ac.uk.
E-mail: yi.xu@ucl.ac.uk, albertlee@hku.hk, santitham@cpe.kmutt.ac.th, f.liu@essex.ac.uk.
E-mail: yi.xu@ucl.ac.uk, albertlee@hku.hk, santitham@cpe.kmutt.ac.th, f.liu@essex.ac.uk.
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Abstract

This paper presents an overview of the Parallel Encoding and Target Approximation (PENTA) model of speech prosody, in response to an extensive critique by Arvaniti & Ladd (2009). PENTA is a framework for conceptually and computationally linking communicative meanings to fine-grained prosodic details, based on an articulatory-functional view of speech. Target Approximation simulates the articulatory realisation of underlying pitch targets – the prosodic primitives in the framework. Parallel Encoding provides an operational scheme that enables simultaneous encoding of multiple communicative functions. We also outline how PENTA can be computationally tested with a set of software tools. With the help of one of the tools, we offer a PENTA-based hypothetical account of the Greek intonational patterns reported by Arvaniti & Ladd, showing how it is possible to predict the prosodic shapes of an utterance based on the lexical and postlexical meanings it conveys.

Type
Squibs and Replies
Information
Phonology , Volume 32 , Issue 3 , December 2015 , pp. 505 - 535
Copyright
Copyright © Cambridge University Press 2016 

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Footnotes

*

We would like to thank Amalia Arvaniti, Antonis Botinis, Bronwen Evans, Bob Ladd and four anonymous reviewers for their comments on earlier drafts of this paper. This work received support from the following sources: the National Science Foundation (NSF BCS-1355479 to the first author), the Royal Society and the Royal Academy of Engineering through the Newton International Fellowship Scheme (to the third author) and the Thai Research Fund through a Research Grant for New Researchers (TRG5680096 to the third author).

References

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