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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
Goldberg, Adele E. – Cognition, 2013
Typologists have long observed that there are certain distributional patterns that are not evenly distributed among the world's languages. This discussion note revisits a recent experimental investigation of one such intriguing case, so-called "universal 18", by Culbertson, Smolensky, and Legendre (2012). The authors find that adult learners are…
Descriptors: Language Classification, Adult Students, Grammar, Artificial Languages
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
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
Smith, Kenny; Wonnacott, Elizabeth – Cognition, 2010
Human languages may be shaped not only by the (individual psychological) processes of language acquisition, but also by population-level processes arising from repeated language learning and use. One prevalent feature of natural languages is that they avoid unpredictable variation. The current work explores whether linguistic predictability might…
Descriptors: Artificial Languages, Population Distribution, Language Acquisition, Adults
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
Scott, Ryan B.; Dienes, Zoltan – Cognition, 2010
It is commonly held that implicit knowledge expresses itself as fluency. A perceptual clarification task was used to examine the relationship between perceptual processing fluency, subjective familiarity, and grammaticality judgments in a task frequently used to produce implicit knowledge, artificial grammar learning (AGL). Four experiments…
Descriptors: Grammar, Familiarity, Cognitive Processes, Task Analysis
Fernandes, Tania; Kolinsky, Regine; Ventura, Paulo – Cognition, 2009
This study combined artificial language learning (ALL) with conventional experimental techniques to test whether statistical speech segmentation outputs are integrated into adult listeners' mental lexicon. Lexicalization was assessed through inhibitory effects of novel neighbors (created by the parsing process) on auditory lexical decisions to…
Descriptors: Cues, Phonology, Artificial Languages, Probability
Onnis, Luca; Waterfall, Heidi R.; Edelman, Shimon – Cognition, 2008
Variation set structure--partial overlap of successive utterances in child-directed speech--has been shown to correlate with progress in children's acquisition of syntax. We demonstrate the benefits of variation set structure directly: in miniature artificial languages, arranging a certain proportion of utterances in a training corpus in variation…
Descriptors: Cues, Syntax, Artificial Languages, Language Acquisition
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
Monaghan, P.; Chater, N.; Christiansen, M.H. – Cognition, 2005
Recognising the grammatical categories of words is a necessary skill for the acquisition of syntax and for on-line sentence processing. The syntactic and semantic context of the word contribute as cues for grammatical category assignment, but phonological cues, too, have been implicated as important sources of information. The value of…
Descriptors: Syntax, Semantics, Cues, Artificial Languages
Curtin, S.; Mintz, T.H.; Christiansen, M.H. – Cognition, 2005
Over the past couple of decades, research has established that infants are sensitive to the predominant stress pattern of their native language. However, the degree to which the stress pattern shapes infants' language development has yet to be fully determined. Whether stress is merely a cue to help organize the patterns of speech or whether it is…
Descriptors: Infants, Cues, Syllables, Language Acquisition
Gerken, LouAnn – Cognition, 2004
Infants' ability to rapidly extract properties of language-like systems during brief laboratory exposures has been taken as evidence about the innate linguistic state of humans. However, previous studies have focused on structural properties that are not central to descriptions of natural language. In the current study, infants were exposed to 3-…
Descriptors: Infants, Natural Language Processing, Structural Linguistics, Syllables

Reber, Arthur S.; Lewis, Selma – Cognition, 1977
College students learned implicitly the underlying structure of an artificial language by memorizing a set of representative examples. The form and structure of their knowledge was evaluated and analyzed by: (1) solving anagrams; (2) determining well-formedness of novel letter strings; and (3) providing detailed introspective reports. (Author/MV)
Descriptors: Artificial Languages, Language Learning Levels, Learning Processes, Learning Theories