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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
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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