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Thiessen, Erik D.; Pavlik, Philip I., Jr. – Cognitive Science, 2013
Statistical learning refers to the ability to identify structure in the input based on its statistical properties. For many linguistic structures, the relevant statistical features are distributional: They are related to the frequency and variability of exemplars in the input. These distributional regularities have been suggested to play a role in…
Descriptors: Mathematical Models, Memory, Language Acquisition, Learning
Knobel, Mark Daniel – ProQuest LLC, 2009
When speaking, how do we convert our thoughts into the sounds that come out of our mouths? Though seemingly effortless, the process of word production is realized by a complex system working over different levels of representation. By focusing on the sublexical factors, this work investigates the representations and dynamics of the word production…
Descriptors: Phonemes, Language Acquisition, Simulation, Data Analysis
Blythe, Richard A.; Croft, William A. – Language Learning, 2009
Language is a complex adaptive system: Speakers are agents who interact with each other, and their past and current interactions feed into speakers' future behavior in complex ways. In this article, we describe the social cognitive linguistic basis for this analysis of language and a mathematical model developed in collaboration between…
Descriptors: Mathematical Models, Interaction, Interpersonal Communication, Social Cognition
Manzo, Anthony V. – 1969
A quasi-static learning model was proposed to describe the interaction of factors believed to be involved in the development of reading comprehension abilities. Reading comprehension was viewed as an extension of general language learning and subject to many of the same factors and complexities as is the development of language. There are five…
Descriptors: Interaction, Language Acquisition, Learning, Learning Experience
Peer reviewedBurchinal, Margaret; Appelbaum, Mark I. – Child Development, 1991
Quantitative growth curve models for estimating individual developmental functions from various types of longitudinal data are discussed in the context of investigator assumptions and research design characteristics. Linear and nonlinear models that estimate growth curves are illustrated, and contrasted when they are fit to speech development…
Descriptors: Children, Individual Development, Individual Differences, Language Acquisition
van Geert, Paul; Steenbeek, Henderien – Developmental Review, 2005
The basic properties of a dynamic systems approach of development are illustrated by contrasting two simple equations. One equation is characteristic of dynamic systems models. The other refers to what, for the sake of simplicity, is referred to as the standard developmental approach. We give illustrations from cognitive, language and social…
Descriptors: Systems Approach, Mathematical Models, Developmental Psychology, Comparative Analysis
Duran, Pilar; Malvern, David; Richards, Brian; Chipere, Ngoni – Applied Linguistics, 2004
This article discusses issues in measuring lexical diversity, before outlining an approach based on mathematical modelling that produces a measure, D, designed to address these problems. The procedure for obtaining values for D directly from transcripts using software (vocd) is introduced, and then applied to thirty-two children from the Bristol…
Descriptors: Mathematical Models, Applied Linguistics, Language Acquisition, Academic Discourse
Peer reviewedTorneus, Margit – Journal of Educational Psychology, 1984
The causal relationship between metaphonological skills (sound blending and segmentation) and reading/spelling was investigated in two studies of first graders. One tested causal models using data from a longitudinal study of 46 dyslexics and 44 control children. The other studied the effects of metaphonological training versus general language…
Descriptors: Aptitude Treatment Interaction, Beginning Reading, Cognitive Development, Dyslexia

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