A lesson from associative learning: asymmetry and productivity in multiple-slot constructions

Abstract

Abstract Non-redundant taxonomic models of construction grammar posit that only fully productive patterns qualify as constructions because they license an infinity of expressions. Redundant models claim that, despite subregularities and exceptions, partially productive patterns also count as constructions, providing the overall meanings of such patterns are not the strict sums of their parts. Because productivity is a major bone of contention between redundant and non-redundant construction grammar taxonomies, I examine the productivity of

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