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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Ubiquity Press
2018
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| Materias: | |
| 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 |