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Simulating Developmental Changes in Noun Richness through Performance-limited Distributional Analysis
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Defaulting effects contribute to the simulation of cross-linguistic differences in Optional Infinitive errors
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Sinuosity and the affect grid: A method for adjusting repeated mood scores
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Cluster damage robustness analysis and space independent community detection in complex networks
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Gegov, Emil. - : Brunel University School of Engineering and Design PhD Theses, 2012
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Transition expertise: Cognitive factors and developmental processes that contribute to repeated successful career transitions amongst elite athletes, musicians and business people
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Modelling language acquisition in children using network theory
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In: European Perspectives on Cognitive Sciences (2011)
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Comparing MOSAIC and the variational learning model of the optional infinitive stage in early child language
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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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Modelling the developmental patterning of finiteness marking in English, Dutch, German and Spanish using MOSAIC
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Understanding the Developmental Dynamics of Subject Omission: The Role of Processing Limitations in Learning
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Simulating the Noun-Verb Asymmetry in the Productivity of Children’s Speech
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Abstract:
Several authors propose that children may acquire syntactic categories on the basis of co-occurrence statistics of words in the input. This paper assesses the relative merits of two such accounts by assessing the type and amount of productive language that results from computing co-occurrence statistics over conjoint and independent preceding and following contexts. This is achieved through the implementation of these methods in MOSAIC, a computational model of syntax acquisition that produces utterances that can be directly compared to child speech, and has a developmental component (i.e. produces increasingly long utterances). It is shown that the computation of co-occurrence statistics over conjoint contexts or frames results in a pattern of productive speech that more closely resembles that displayed by language learning children. The simulation of the developmental patterning of children’s productive speech furthermore suggests two refinements to this basic mechanism: inclusion of utterance boundaries, and the weighting of frames for their lexical content.
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Keyword:
Chater; co-occurrence statistics; computational modelling; conjoint context; distributional analysis; Finch; frame; Mintz; MOSAIC; production; syntactic categories; syntax acquisition
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URL: http://bura.brunel.ac.uk/handle/2438/1082
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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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Unifying cross-linguistic and within-language patterns of finiteness marking in MOSAIC
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On the resolution of ambiguities in the extraction of syntactic categories through chunking
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