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The role of psychoacoustic similarity in Japanese puns: A corpus study1

Published online by Cambridge University Press:  28 January 2009

SHIGETO KAWAHARA*
Affiliation:
Rutgers University, the State University of New Jersey
KAZUKO SHINOHARA*
Affiliation:
Tokyo University of Agriculture and Technology
*
Authors' addresses: Linguistics Department, Rutgers University, 18 Seminary Place, New Brunswick, NJ 08901-1108, USAkawahara@rci.rutgers.edu
Institute of Symbiotic Science and Technology, Tokyo University of Agriculture and Technology, 2-24-16 Nakacho, Koganei, Tokyo 184-8588, Japank-shino@cc.tuat.ac.jp
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Abstract

A growing body of recent work on the phonetics–phonology interface argues that many phonological patterns refer to psychoacoustic similarity – perceived similarity between sounds based on detailed acoustic information. In particular, two corresponding elements in phonology (e.g. inputs and outputs) are required to be as psychoacoustically similar as possible (Steriade 2001a, b, 2003; Fleischhacker 2005; Kawahara 2006; Zuraw 2007). Using a corpus of Japanese imperfect puns, this paper lends further support to this claim. Our corpus-based study shows that when Japanese speakers compose puns, they require two corresponding consonants to be as similar as possible, and the measure of similarity rests on psychoacoustic information. The result supports the hypothesis that speakers possess a rich knowledge of psychoacoustic similarity and deploy that knowledge in shaping verbal art patterns.

Information

Type
Research Article
Copyright
Copyright © 2009 Cambridge University Press
Figure 0

Table 1 O/E ratio (shading indicates underrepresentation).

Figure 1

Figure 1 Correlation between the number of shared feature specifications and the likelihood of two consonants being paired in imperfect puns.

Figure 2

Table 2 Probabilities of sonorants being paired with voiced obstruents and voiceless obstruents.

Figure 3

Figure 2 Illustrative spectrograms of Japanese [n, d, t, g] in the environment of [ni _ o]. Read by a female native speaker of Japanese. Pictures generated by Praat (Boersma & Weenink 2007).