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• W2149292334 abstract "The present study provides empirical evidence for Heinz’s (2010) Subregular Hypothesis, which predicts that some gaps found in the typology of phonotactic patterns are due to learnability—more specifically, that only phonotactic patterns with specific computational properties are humanly learnable. The study compares the learnability of two long-distance harmony patterns that differ typologically (attested vs. unattested) and computationally (Strictly Piecewise vs. Locally Testable) using the artificial-language-learning paradigm. The results reveal a general bias toward learning the attested, Strictly Piecewise pattern, exactly as the Subregular Hypothesis predicts." @default.
• W2149292334 created "2016-06-24" @default.
• W2149292334 creator A5008734687 @default.
• W2149292334 date "2015-07-01" @default.
• W2149292334 modified "2023-10-06" @default.
• W2149292334 title "Learnable vs. Unlearnable Harmony Patterns" @default.
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• W2149292334 doi "https://doi.org/10.1162/ling_a_00188" @default.
• W2149292334 hasPublicationYear "2015" @default.
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