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Testolin, Alberto; Stoianov, Ivilin; Sperduti, Alessandro; Zorzi, Marco – Cognitive Science, 2016
Learning the structure of event sequences is a ubiquitous problem in cognition and particularly in language. One possible solution is to learn a probabilistic generative model of sequences that allows making predictions about upcoming events. Though appealing from a neurobiological standpoint, this approach is typically not pursued in…
Descriptors: Orthographic Symbols, Neurological Organization, Models, Probability
Weismer, Susan Ellis; Venker, Courtney E.; Evans, Julia L.; Moyle, Maura Jones – Applied Psycholinguistics, 2013
This study investigated fast mapping in late-talking (LT) toddlers and toddlers with normal language (NL) development matched on age, nonverbal cognition, and maternal education. The fast-mapping task included novel object labels and familiar words. The LT group scored significantly lower than the NL group on novel word comprehension and…
Descriptors: Language Aptitude, Language Acquisition, Probability, Concept Mapping
McLeod, Angela N.; McDade, Hiram L. – Communication Disorders Quarterly, 2011
This investigation examined the ability of 44 preschool children to acquire novel words embedded in storybook contexts. Previous investigations of word learning have typically consisted of novel words for which synonyms exist. It is argued that the acquisition of unfamiliar words that refer to existing concepts that already have labels is not…
Descriptors: Verbs, Nouns, Incidental Learning, Preschool Children