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On the Utility of Conjoint and Compositional Frames and Utterance
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Simulating the referential properties of Dutch, German and English Root Infinitives in MOSAIC
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Does chess need intelligence? – A study with young chess players
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Towards a Unified Model of Language Acquisition
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Abstract:
In this theoretical paper, we first review and rebut standard criticisms against distributional approaches to language acquisition. We then present two closely-related models that use distributional analysis. The first deals with the acquisition of vocabulary, the second with grammatical development. We show how these two models can be combined with a semantic network grown using Hebbian learning, and briefly illustrate the advantages of this combination. An important feature of this hybrid system is that it combines two different types of distributional learning, the first based on order, and the second based on co-occurrences within a context.
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Keyword:
CHREST; computational modelling; Hebbian learning; language acquisition; MOSAIC; semantics; syntax; vocabulary
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URL: http://bura.brunel.ac.uk/handle/2438/694
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7 |
Modelling the developmental patterning of finiteness marking in English, Dutch, German and Spanish using MOSAIC
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8 |
Understanding the Developmental Dynamics of Subject Omission: The Role of Processing Limitations in Learning
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9 |
Simulating the Noun-Verb Asymmetry in the Productivity of Children’s Speech
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Linking working memory and long-term memory: A computational model of the learning of new words
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Jones, G; Gobet, F; Pine, J M. - : Blackwell Publishing. The definitive version is available at onlinelibrary.wiley.com, 2007
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Modelling the Development of Children’s use of Optional Infinitives in Dutch and English using MOSAIC
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12 |
Unifying cross-linguistic and within-language patterns of finiteness marking in MOSAIC
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13 |
On the resolution of ambiguities in the extraction of syntactic categories through chunking
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Simulating the cross-linguistic development of optional infinitive errors in MOSAIC.
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Simulating optional infinitive errors in child speech through the omission of sentence-internal elements.
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Resolving ambiguities in the extraction of syntactic categories through chunking.
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Simulating the temporal reference of Dutch and English Root Infinitives.
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18 |
Modelling syntactic development in a cross-linguistic context
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19 |
The role of input size and generativity in simulating language acquisition.
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20 |
Modelling children's negation errors using probabilistic learning in MOSAIC.
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