Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/57247
Type: | Conference paper |
Title: | Indirect evidence and the poverty of the stimulus: the case of anaphoric one |
Author: | Foraker, S. Regier, T. Khetarpal, N. Perfors, A. Tenenbaum, J. |
Citation: | Proceedings of the 29th Annual Cognitive Science Society, 1-4 August, 2007 / D. S. McNamara & J.G. Trafton (eds.): pp.275-280 |
Publisher: | Cognitive Science Society |
Publisher Place: | United States |
Issue Date: | 2007 |
ISBN: | 097683183X |
Conference Name: | Annual Conference of the Cognitive Science Society (29th : 2007 : Nashville, Tennessee, USA) |
Statement of Responsibility: | Stephani Foraker, Terry Regier, Naveen Khetarpal, Amy Perfors and Joshua B. Tenenbaum |
Abstract: | It is widely held that children’s linguistic input underdetermines the correct grammar, and that language learning must therefore be guided by innate linguistic constraints. In contrast, a recent counterproposal holds that apparently impoverished input may contain indirect sources of evidence that allow the child to learn without such constraints. Here, we support this latter view by showing that a Bayesian model can learn a standard “poverty-of-stimulus” example, anaphoric one, from realistic input without a constraint traditionally assumed to be necessary, by relying on indirect evidence. Our demonstration does however assume other linguistic knowledge; thus we reduce the problem of learning anaphoric one to that of learning this other knowledge. We discuss whether this other knowledge may itself be acquired without linguistic constraints. |
Keywords: | language acquisition poverty of the stimulus indirect evidence Bayesian learning syntax anaphora. |
Rights: | © the authors |
Published version: | http://csjarchive.cogsci.rpi.edu/proceedings/2007/docs/p275.pdf |
Appears in Collections: | Aurora harvest 5 Psychology publications |
Files in This Item:
File | Description | Size | Format | |
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hdl_57247.pdf | Published version | 223.44 kB | Adobe PDF | View/Open |
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