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Paulon, Giorgio; Reetzke, Rachel; Chandrasekaran, Bharath; Sarkar, Abhra – Journal of Speech, Language, and Hearing Research, 2019
Purpose: We present functional logistic mixed-effects models (FLMEMs) for estimating population and individual-level learning curves in longitudinal experiments. Method: Using functional analysis tools in a Bayesian hierarchical framework, the FLMEM captures nonlinear, smoothly varying learning curves, appropriately accommodating uncertainty in…
Descriptors: Longitudinal Studies, Bayesian Statistics, Guidelines, Speech Communication
Wellwood, Alexis; Gagliardi, Annie; Lidz, Jeffrey – Language Learning and Development, 2016
Acquiring the correct meanings of words expressing quantities ("seven, most") and qualities ("red, spotty") present a challenge to learners. Understanding how children succeed at this requires understanding, not only of what kinds of data are available to them, but also the biases and expectations they bring to the learning…
Descriptors: Syntax, Computational Linguistics, Task Analysis, Prediction
Dillon, Brian; Dunbar, Ewan; Idsardi, William – Cognitive Science, 2013
To acquire one's native phonological system, language-specific phonological categories and relationships must be extracted from the input. The acquisition of the categories and relationships has each in its own right been the focus of intense research. However, it is remarkable that research on the acquisition of categories and the relations…
Descriptors: Phonology, Eskimo Aleut Languages, Language Acquisition, Phonetics

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