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Uncovering the richness of the stimulus: Structure dependence and indirect statistical evidence

  • Cornell University

Research output: Contribution to journalArticlepeer-review

128 Scopus citations

Abstract

The poverty of stimulus argument is one of the most controversial arguments in the study of language acquisition. Here we follow previous approaches challenging the assumption of impoverished primary linguistic data, focusing on the specific problem of auxiliary (AUX) fronting in complex polar interrogatives. We develop a series of corpus analyses of child-directed speech showing that there is indirect statistical information useful for correct auxiliary fronting in polar interrogatives and that such information is sufficient for distinguishing between grammatical and ungrammatical generalizations, even in the absence of direct evidence. We further show that there are simple learning devices, such as neural networks, capable of exploiting such statistical cues, producing a bias toward correct AUX questions when compared to their ungrammatical counterparts. The results suggest that the basic assumptions of the poverty of stimulus argument may need to be reappraised.

Original languageEnglish
Pages (from-to)1007-1028
Number of pages22
JournalCognitive Science
Volume29
Issue number6
DOIs
StatePublished - Nov 2005
Externally publishedYes

Keywords

  • Corpus analysis
  • Distributional information
  • Language acquisition
  • Neural networks
  • Poverty of stimulus

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