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Comparing MOSAIC and the variational learning model of the optional infinitive stage in early child language
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Abstract:
This paper compares MOSAIC and the Variational Learning Model (VLM) in terms of their ability to explain the level of finiteness marking in early child Dutch, English, Spanish, German and French. It is shown that both models are successful in explaining cross-linguistic variation in rates of Optional Infinitive (OI) errors, although both models underestimate the error rate in English. A second set of analyses shows strong lexical effects in the pattern of errors across all five languages studied. This finding is problematic for the Variational Learning Model and provides strong support for the notion that OI errors are incomplete compound finites as instantiated in MOSAIC.
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Keyword:
chunking; distributional learning; MOSAIC; optional infinitive; Variational Learning Model; VLM
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URL: http://bura.brunel.ac.uk/handle/2438/3499
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On the Utility of Conjoint and Compositional Frames and Utterance
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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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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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Modelling syntactic development in a cross-linguistic context
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The role of input size and generativity in simulating language acquisition.
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Modelling children's negation errors using probabilistic learning in MOSAIC.
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Modelling the development of Dutch Optional Infinitives in MOSAIC.
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Subject omission in children's language; The case for performance limitations in learning.
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Modeling the optional infinite stage in MOSAIC: A generalization to Dutch
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