Distinguishing discrete and gradient category structure in language: Insights from verb-particle constructions

Brehm, L., & Goldrick, M. (2017). Distinguishing discrete and gradient category structure in language: Insights from verb-particle constructions. Journal of Experimental Psychology: Learning, Memory, and Cognition., 43(10), 1537-1556. doi:10.1037/xlm0000390.
The current work uses memory errors to examine the mental representation of verb-particle constructions (VPCs; e.g., make up the story, cut up the meat). Some evidence suggests that VPCs are represented by a cline in which the relationship between the VPC and its component elements ranges from highly transparent (cut up) to highly idiosyncratic (make up). Other evidence supports a multiple class representation, characterizing VPCs as belonging to discretely separated classes differing in semantic and syntactic structure. We outline a novel paradigm to investigate the representation of VPCs in which we elicit illusory conjunctions, or memory errors sensitive to syntactic structure. We then use a novel application of piecewise regression to demonstrate that the resulting error pattern follows a cline rather than discrete classes. A preregistered replication verifies these findings, and a final preregistered study verifies that these errors reflect syntactic structure. This provides evidence for gradient rather than discrete representations across levels of representation in language processing.
Publication type
Journal article
Publication date
2017

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