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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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Meter based omission of function words in MOSAIC
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Abstract:
MOSAIC (Model of Syntax Acquisition in Children) is augmented with a new mechanism that allows for the omission of unstressed function words based on the prosodic structure of the utterance in which they occur. The mechanism allows MOSAIC to omit elements from multiple locations in a target utterance, which it was previously unable to do. It is shown that, although the new mechanism results in Optional Infinitive errors when run on children’s input, it is insufficient to simulate the high rate OI errors in children’s speech unless combined with MOSAIC’s edge-first learning mechanism. It is also shown that the addition of the new mechanism does not adversely affect MOSAIC’s fit to the Optional Infinitive phenomenon. The mechanism does, however, make MOSAIC’s output more child-like, both in terms of the range of utterances it can simulate, and the level and type of determiner omission that the model displays.
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Keyword:
Child speech; Computational model; Determiner Omission; Gerken; Learning mechanism; Metrical template; MOSAIC; Optional Infinitive; Prosodic structure; Syntax Acquisition; Wexler
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URL: http://bura.brunel.ac.uk/handle/2438/1083
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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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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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