Explaining the PENTA model: a reply to Arvaniti and Ladd

[thumbnail of Xu_etAl_Phonology2015_author.pdf]
Preview
Text - Accepted Version
· Please see our End User Agreement before downloading.
| Preview

Please see our End User Agreement.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Xu, Y., Lee, A., Prom-on, S. and Liu, F. orcid id iconORCID: https://orcid.org/0000-0002-7776-0222 (2015) Explaining the PENTA model: a reply to Arvaniti and Ladd. Phonology, 32 (03). pp. 505-535. ISSN 0952-6757 doi: 10.1017/S0952675715000299

Abstract/Summary

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.

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/66919
Identification Number/DOI 10.1017/S0952675715000299
Refereed Yes
Divisions Life Sciences > School of Psychology and Clinical Language Sciences > Department of Psychology
Publisher Cambridge University Press
Download/View statistics View download statistics for this item

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar