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Radulescu, Silvia; Wijnen, Frank; Avrutin, Sergey – Language Learning and Development, 2020
From limited evidence, children track the regularities of their language impressively fast and they infer generalized rules that apply to novel instances. This study investigated what drives the inductive leap from memorizing specific items and statistical regularities to extracting abstract rules. We propose an innovative entropy model that…
Descriptors: Linguistic Input, Language Acquisition, Grammar, Learning Processes
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
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
Mueller, Jutta L. – Language Learning, 2006
The present chapter bridges two lines of neurocognitive research, which are, despite being related, usually discussed separately from each other. The two fields, second language (L2) sentence comprehension and artificial grammar processing, both depend on the successful learning of complex sequential structures. The comparison of the two research…
Descriptors: Language Processing, Reading Comprehension, Second Language Learning, Models
Petersson, Karl Magnus; Forkstam, Christian; Ingvar, Martin – Cognitive Science, 2004
In the present study, using event-related functional magnetic resonance imaging, we investigated a group of participants on a grammaticality classification task after they had been exposed to well-formed consonant strings generated from an artificial regular grammar. We used an implicit acquisition paradigm in which the participants were exposed…
Descriptors: Grammar, Classification, Models, Language Processing
Bierschenk, Bernhard; Bierschenk, Inger – 1986
The first of three articles on the ways in which people formulate their observations, this paper considers the basic assumptions of both syntactic and paradigmatic models of cognition and their applications in natural (i.e., human) and artificial (i.e., computer) information processing. The analysis begins with background information on the nature…
Descriptors: Artificial Languages, Cognitive Processes, Comparative Analysis, Computer Oriented Programs