Cumulative Contextual Facilitation in Word Activation and Processing: Evidence from Distributional Modelling

Abstract

Information provided by the linguistic context has been shown to have a strong facilitatory effect on the activation and processing of upcoming words. The studies described in this paper aim to model the relation between context and target words using a distributional semantic model. We report three modelling studies in which we show that this model can successfully capture context effects in human-generated data (reading times and association scores).


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