#large language models
Oct 2026
A Computational Swinging Lexical Network: Cohort Concentration Predicts Semantic Interference in a Large-Scale Picture–Word Interference Dataset
The Swinging Lexical Network (SLN) model explains semantic context effects in word production through the lexical cohort that a target and distractor co-activate: whether naming is facilitated or slowed depends on the balance between semantic priming and lexical competition within this cohort. As a verbal theory the SL...
Louis Schiekiera, Rasha Abdel Rahman, Alissa Melinger et al.
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