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Adult reformulations of child errors as negative evidence

Published online by Cambridge University Press:  07 August 2003

MICHELLE M. CHOUINARD
Affiliation:
Stanford University
EVE V. CLARK
Affiliation:
Stanford University

Abstract

Parents frequently check up on what their children mean. They often do this by reformulating with a side sequence or an embedded correction what they think their children said. These reformulations effectively provide children with the conventional form for that meaning. Since the child's utterance and the adult reformulation differ while the intended meanings are the same, children infer that adults are offering a correction. In this way, reformulations identify the locus of any error, and hence the error itself. Analyses of longitudinal data from five children between 2;0 and 4;0 (three acquiring English and two acquiring French) show that (a) adults reformulate their children's erroneous utterances and do so significantly more often than they replay or repeat error-free utterances; (b) their rates of reformulation are similar across error-types (phonological, morphological, lexical, and syntactic) in both languages; (c) they reformulate significantly more often to younger children, who make more errors. Evidence that children attend to reformulations comes from four measures: (a) their explicit repeats of corrected elements in their next turn; (b) their acknowledgements (yeah or uh-huh) as a preface to their next turn; (c) repeats of any new information included in the reformulation; and (d) their explicit rejections of reformulations where the adult has misunderstood. Adult reformulations, then, offer children an important source of information about how to correct errors in the course of acquisition.

Type
Research Article
Copyright
© 2003 Cambridge University Press

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Footnotes

This research was supported in part by grants from the National Science Foundation (SBR97-31781), the Spencer Foundation (199900133), and the Center for the Study of Language and Information, Stanford University, to the second author. We thank Jeanene Harlick, Meleah Hill, and Sayra Khandekar for help in coding data; Ewart A. Thomas for invaluable statistical advice; William Croft, Zenzi Griffin, and Ellen M. Markman for comments on earlier versions, and Herbert H. Clark for insightful suggestions. We would also like to thank two anonymous reviewers whose comments helped us clarify our arguments.