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1
Learning Repetition, but not Syllable Reversal
In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2020 Annual Meeting on Phonology ; 2377-3324 (2021)
Abstract: Reduplication is common, but analogous reversal processes are rare, even though reversal, which involves nested rather than crossed dependencies, is less complex on the Chomsky hierarchy. We hypothesize that the explanation is that repetitions can be recognized when they match and reactivate a stored trace in short-term memory, but recognizing a reversal requires rearranging the input in working memory before attempting to match it to the stored trace. Repetitions can thus be recognized, and repetition patterns learned, implicitly, whereas reversals require explicit, conscious awareness. To test these hypotheses, participants were trained to recognize either a reduplication or a syllable-reversal pattern, and then asked to state the rule. In two experiments, above-chance classification performance on the Reversal pattern was confined to Correct Staters, whereas above-chance performance on the Reduplication pattern was found with or without correct rule-stating. Final proportion correct was positively correlated with final response time for the Reversal Correct Staters but no other group. These results support the hypothesis that reversal, unlike reduplication, requires conscious, time-consuming computation.
Keyword: explicit learning; Formal Language Theory; implicit learning; learning; memory; reduplication; reversal
URL: http://journals.linguisticsociety.org/proceedings/index.php/amphonology/article/view/4912
https://doi.org/10.3765/amp.v9i0.4912
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2
Phonological Concept Learning
In: Joe Pater (2015)
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3
Structure and Substance in Artificial-Phonology Learning, Part II: Substance
In: Joe Pater (2012)
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4
Structure and Substance in Artificial-Phonology Learning, Part I: Structure
In: Joe Pater (2012)
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5
Structurally Biased Phonology: Complexity in Learning and Topology
In: Joe Pater (2012)
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