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Full Access Target Selection in Error Selective Learning

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Target Selection in Error Selective Learning

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SR shows a typical acquisition pattern of first avoiding marked structures, then repairing them, then producing them faithfully. I propose a method for diagnosing and quantifying avoidance, and then analyze the avoidance using the null parse approach. I offer a computationally implemented Tessier 2007, 2008, 2009, Becker and Tessier 2012), modeling the avoidance of marked structure as selection of the null parse. The model predicts a realistic acquisition path using a persistent M > F > MParse bias and the relativization of MParse to markedness constraints.

10.1163/18776930-00400006
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/content/journals/10.1163/18776930-00400006
2012-01-01
2016-12-08

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