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Kurumada, Chigusa; Meylan, Stephan C.; Frank, Michael C. – Cognition, 2013
Word frequencies in natural language follow a highly skewed Zipfian distribution, but the consequences of this distribution for language acquisition are only beginning to be understood. Typically, learning experiments that are meant to simulate language acquisition use uniform word frequency distributions. We examine the effects of Zipfian…
Descriptors: Statistical Distributions, Word Frequency, Language Acquisition, Artificial Languages
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Arnon, Inbal; Ramscar, Michael – Cognition, 2012
Why do adult language learners typically fail to acquire second languages with native proficiency? Does prior linguistic experience influence the size of the "units" adults attend to in learning, and if so, how does this influence what gets learned? Here, we examine these questions in relation to grammatical gender, which adult learners almost…
Descriptors: Sentences, Nouns, Grammar, Linguistics
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Culbertson, Jennifer; Smolensky, Paul; Legendre, Geraldine – Cognition, 2012
How recurrent typological patterns, or universals, emerge from the extensive diversity found across the world's languages constitutes a central question for linguistics and cognitive science. Recent challenges to a fundamental assumption of generative linguistics--that universal properties of the human language acquisition faculty constrain the…
Descriptors: Form Classes (Languages), Grammar, Linguistics, Artificial Languages
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Amato, Michael S.; MacDonald, Maryellen C. – Cognition, 2010
A study combining artificial grammar and sentence comprehension methods investigated the learning and online use of probabilistic, nonadjacent combinatorial constraints. Participants learned a small artificial language describing cartoon monsters acting on objects. Self-paced reading of sentences in the artificial language revealed comprehenders'…
Descriptors: Sentences, Artificial Languages, Cartoons, Language Processing
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Endress, Ansgar D.; Dehaene-Lambertz, Ghislaine; Mehler, Jacques – Cognition, 2007
Cognitive processes are often attributed to statistical or symbolic general-purpose mechanisms. Here we show that some spontaneous generalizations are driven by specialized, highly constrained symbolic operations. We explore how two types of artificial grammars are acquired, one based on repetitions and the other on characteristic relations…
Descriptors: Cognitive Processes, Generalization, Grammar, Physiology