Abstract

How do speakers avoid producing verb overgeneralization errors such as *She covered paint onto the wall or *She poured the cup with water? Five previous papers have found seemingly contradictory results concerning the role of statistical preemption (competition from acceptable alternatives such as She covered the wall with paint or She poured water into the cup) and entrenchment (a mechanism sensitive to all uses of the relevant verb). Here, we use more appropriate measures of preemption and entrenchment (attraction measures based on the chi-square statistic, as opposed to using only the frequency of occurrence in favoured constructions) as well as more appropriate statistical analyses and, in one case, a larger corpus to reanalyse the data from these studies. We find that for errors of verb argument structure overgeneralization (as in the examples above), preemption/entrenchment effects are almost always observed in single-predictor models, but are rarely dissociable, due to collinearity. Fortunately, this problem is much less acute for errors of reversative un- prefixation (e.g., *unsqueeze; *uncome), which could in principle be blocked by (a) non-reversative uses of the same verb root (e.g., squeeze, come; entrenchment), and/or (b) lexically-unrelated verbs with similar meanings to the relevant un- forms (e.g., release, go; preemption). Across a reanalysis of two previous studies of un- prefixation, and a new extended replication with adults, we find dissociable effects of both preemption and entrenchment. A meta-analytic synthesis revealed that, across the studies, both effects are reliable, though preemption appears to increase with age. We conclude that a successful account of the retreat from verb overgeneralization is likely to be one that yields preemption and entrenchment as effects that fall naturally out of the learner’s attempts to communicate meaning, rather than one that treats these effects as mechanisms in their own right, and discuss current accounts that potentially meet this criterion. Finally, we set out some methodological recommendations that can be profitably applied not only to corpus-based experimental studies, but studies of child language acquisition in general.

Highlights

  • A defining characteristic of language is its productivity (Humboldt, 1836; Chomsky, 1957): Speakers do not maintain an inventory of rote-learned utterances, but rather form generalizations that allow them to produce novel utterances

  • We argue that the analyses presented in these papers suffered from a number of shortcomings, : (i) Inappropriate operationalization of entrenchment and preemption; (ii) Undesirable consequences of the use of difference scores; (iii) Problems relating to the statistical analyses, and (iv) Use of a small corpus

  • The correlations between predictor variables are shown in Appendix Table A1

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Summary

Introduction

A defining characteristic of language is its productivity (Humboldt, 1836; Chomsky, 1957): Speakers do not maintain an inventory of rote-learned utterances, but rather form generalizations that allow them to produce novel utterances. Figure locative (caused motion) [NP] [VERB] [NP] ([PP]) She sprayed paint (onto the wall). Ground locative (causative)2 [NP] [VERB] ([NP] [PP]) She sprayed the wall (with paint). The analyses presented here confirm the importance of these semantic factors, but focus mainly on the statistical distribution of verbs. The reason for this focus is that the previous studies that we reanalyse here (all involving the first author), provided suggestive evidence for two statistical learning hypotheses – preemption and entrenchment – but struggled both to accurately operationalize and to dissociate these predictors

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