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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Detalles Bibliográficos
Autores principales: Vankrunkelsven, Hendrik, Verheyen, Steven, Storms, Gert, De Deyne, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ubiquity Press 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6634333/
https://www.ncbi.nlm.nih.gov/pubmed/31517218
http://dx.doi.org/10.5334/joc.50

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6634333/
https://www.ncbi.nlm.nih.gov/pubmed/31517218
http://dx.doi.org/10.5334/joc.50

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