Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/111600
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- Title
- Parameter setting and statistical learning
- Related
- Annual Meeting of the Australian Linguistic Society (2006) (7 - 9 July 2006 : Brisbane)
- Related
- Mushin, Ilana and Laughren, Mary. Proceedings of the Annual Meeting of the Australian Linguistic Society, p.1-11
- Publisher
- Brisbane, Australia : University of Queensland
- Date
- 2006
- FoR/RFCD Code(s)
-
200400 Linguistics
- Author/Creator
- Thornton, Rosalind
- Author/Creator
- Tesan, Graciela
- Description
- Three main models of parameter setting have been proposed: the Variational model proposed by Yang (2002; 2004), the Structured Acquisition model endorsed by Baker (2001; 2005), and the Very Early Parameter Setting (VEPS) model advanced by Wexler (1998). The VEPS model contends that parameters are set early. The Variational model supposes that children employ statistical learning mechanisms to decide among competing parameter values, so this model anticipates delays in parameter setting when critical input is sparse, and gradual setting of parameters. On the Structured Acquisition model, delays occur because parameters form a hierarchy, with higher-level parameters set before lower-level parameters. Assuming that children freely choose the initial value, children sometimes will mis-set parameters. However, when that happens, the input is expected to trigger a precipitous rise in one parameter value and a corresponding decline in the other value. We will point to the kind of child language data that is needed in order to adjudicate among these competing models.
- Description
- 11 page(s)
- Subject Keyword
- 200400 Linguistics
- Subject Keyword
- child language development
- Subject Keyword
- Universal Grammar
- Subject Keyword
- parameter setting
- Subject Keyword
- statistical learning
- Subject Keyword
- triggering model
- Subject Keyword
- negation
- Resource Type
- conference paper
- Organisation
- Macquarie University. Macquarie Centre for Cognitive Science
- Organisation
- Macquarie University. Dept. of Linguistics
- Identifier
- http://hdl.handle.net/1959.14/111600
- Identifier
- ISBN:9780980281514
- Identifier
- mq-rm-2006008212
- Language
- eng
- Full Text
- Reviewed
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