Predicting Lexical Norms: A Comparison between a Word Association Model and Text-Based Word Co-occurrence Models

In two studies we compare a distributional semantic model derived from word co-occurrences and a word association based model in their ability to predict properties that affect lexical processing. We focus on age of acquisition, concreteness, and three affective variables, namely valence, arousal, a...

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Bibliographic Details
Main Authors: Hendrik Vankrunkelsven, Steven Verheyen, Gert Storms, Simon De Deyne
Format: Article
Language:English
Published: Ubiquity Press 2018-11-01
Series:Journal of Cognition
Subjects:
Online Access:https://www.journalofcognition.org/articles/50