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“The moustache sits down first”: on the acquisition of metonymy*

Published online by Cambridge University Press:  19 January 2016

INGRID L. FALKUM*
Affiliation:
University of Oslo
MARTA RECASENS
Affiliation:
Stanford University
EVE V. CLARK
Affiliation:
Stanford University
*
Address for correspondence: Ingrid L. Falkum, Centre for the Study of Mind in Nature, University of Oslo, PO Box 1020 Blindern, N-0315 Oslo, Norway. e-mail: i.l.falkum@ifikk.uio.no
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Abstract

This study investigates preschoolers’ ability to understand and produce novel metonyms. We gave forty-seven children (aged 2;9–5;9) and twenty-seven adults one comprehension task and two elicitation tasks. The first elicitation task investigated their ability to use metonyms as referential shorthands, and the second their willingness to name animates metonymically on the basis of a salient property. Although children were outperformed by adults, even three-year-olds could understand and produce metonyms in certain circumstances. Our results suggest that young children may find it easier to produce a metonym than a more elaborate referential description in certain contexts, and that metonymy may serve as a useful strategy in referring to entities that lack a conventional label. However, metonymy comprehension appeared to decrease with age, with older children tending to choose literal interpretations of some metonyms. This could be a result of growing metalinguistic awareness, which leads children to overemphasize literal meanings.

Information

Type
Articles
Copyright
Copyright © Cambridge University Press 2016 
Figure 0

Fig. 1. Sample stimuli for Task 1: introductory picture for ‘the helmet’ story.

Figure 1

Fig. 2. Sample stimuli for Task 1: answer set for ‘the helmet’ story.

Figure 2

Fig. 3. Percentages of literal and metonymic readings in the two conditions (metonymic vs. literal targets) in Task 1: 3 = Three-year-olds (nmet = 108; nlit = 57), 4 = Four-year-olds (nmet = 80; nlit = 41), 5 = Five-year-olds (nmet = 78; nlit = 39), A = Adults (nmet = 162; nlit = 81).

Figure 3

TABLE 1. Percentages and standard deviations of explanation types for metonymic readings of metonymic items in Task 1, by age

Figure 4

TABLE 2. Percentages and standard deviations of explanation types for literal readings of metonymic items in Task 1, by age

Figure 5

TABLE 3. Percentages and standard deviations of answer types elicited in Task 2, by age

Figure 6

TABLE 4. Percentages and standard deviations of answer types elicited in Task 3, by age

Figure 7

TABLE 5. Multinomial logistic regression analysis for the production of answer types in Task 3 with the predictors Age(three), Example(no) and Familiarity(unfamiliar) (N = 1239)*