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van den Bos, Esther; Christiansen, Morten H.; Misyak, Jennifer B. – Journal of Memory and Language, 2012
Previous studies have indicated that dependencies between nonadjacent elements can be acquired by statistical learning when each element predicts only one other element (deterministic dependencies). The present study investigates statistical learning of probabilistic nonadjacent dependencies, in which each element predicts several other elements…
Descriptors: Artificial Languages, Learning, Probability, Cues
Perruchet, Pierre; Poulin-Charronnat, Benedicte – Journal of Memory and Language, 2012
Endress and Mehler (2009) reported that when adult subjects are exposed to an unsegmented artificial language composed from trisyllabic words such as ABX, YBC, and AZC, they are unable to distinguish between these words and what they coined as the "phantom-word" ABC in a subsequent test. This suggests that statistical learning generates knowledge…
Descriptors: Artificial Languages, Probability, Models, Simulation
Wonnacott, Elizabeth – Journal of Memory and Language, 2011
Successful language acquisition involves generalization, but learners must balance this against the acquisition of lexical constraints. Such learning has been considered problematic for theories of acquisition: if learners generalize abstract patterns to new words, how do they learn lexically-based exceptions? One approach claims that learners use…
Descriptors: Child Language, Artificial Languages, Generalization, Inferences
Finley, Sara; Badecker, William – Journal of Memory and Language, 2009
Abstract representations such as subsegmental phonological features play such a vital role in explanations of phonological processes that many assume that these representations play an equally prominent role in the learning process. This assumption is tested in three artificial grammar experiments involving a mini language with morpho-phonological…
Descriptors: Play, Vowels, Phonology, Artificial Languages
Onnis, L.; Monaghan, P.; Richmond, K.; Chater, N. – Journal of Memory and Language, 2005
Pena, Bonatti, Nespor, and Mehler (2002) investigated an artificial language where the structure of words was determined by nonadjacent dependencies between syllables. They found that segmentation of continuous speech could proceed on the basis of these dependencies. However, Pena et al.'s artificial language contained a confound in terms of…
Descriptors: Phonology, Artificial Languages
Taraban, Roman – Journal of Memory and Language, 2004
According to "noun-cue" models, arbitrary linguistic categories, like those associated with case and gender systems, are difficult to learn unless members of the target category (i.e., nouns) are marked with phonological or semantic cues that reliably co-occur with grammatical morphemes (e.g., determiners) that exemplify the categories. "Syntactic…
Descriptors: Syntax, Nouns, Cues, Models