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DC Field | Value | Language |
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dc.contributor.author | Croker, S | - |
dc.contributor.author | Pine, J M | - |
dc.contributor.author | Gobet, F | - |
dc.coverage.spatial | 8 | en |
dc.date.accessioned | 2008-05-01T13:11:17Z | - |
dc.date.available | 2008-05-01T13:11:17Z | - |
dc.date.issued | 2000 | - |
dc.identifier.citation | Croker, S., Pine, J., & Gobet, F. (2000). Modelling optional infinitive phenomena: A computational account of tense optionality in children’s speech. Proceedings of the 3rd International Conference on Cognitive Modelling, pp. 78-85. Veenendaal, The Netherlands: Universal Press. | en |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/2126 | - |
dc.description.abstract | The Optional Infinitive hypothesis proposed by Wexler (1994) is a theory of children’s early grammatical development that can be used to explain a variety of phenomena in children’s early multi-word speech. However, Wexler’s theory attributes a great deal of abstract knowledge to the child on the basis of rather weak empirical evidence. In this paper we present a computational model of early grammatical development which simulates Optional Infinitive phenomena as a function of the interaction between a performance-limited distributional analyser and the statistical properties of the input. Our findings undermine the claim that Optional Infinitive phenomena require an abstract grammatical analysis. | en |
dc.format.extent | 82760 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | Universal Press | en |
dc.subject | Optional Infinitive | en |
dc.subject | Wexler | en |
dc.subject | children’s early multi-word speech | en |
dc.subject | MOSAIC | en |
dc.subject | distributional analyser | en |
dc.subject | universal grammar | en |
dc.subject | learning | en |
dc.subject | chunking | en |
dc.title | Modelling optional infinitive phenomena: A computational account of tense optionality in children’s speech | en |
dc.type | Research Paper | en |
Appears in Collections: | Psychology Dept of Life Sciences Research Papers |
Files in This Item:
File | Description | Size | Format | |
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CrokerICCM2000.pdf | 80.82 kB | Adobe PDF | View/Open |
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