Investigating variability in morphological processing with Bayesian distributional models

We investigated the processing of morphologically complex words adopting an approach that goes beyond estimating average effects and allows testing predictions about variability in performance. We tested masked morphological priming effects with English derived (‘printer’) and inflected (‘printed’)...

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Detalles Bibliográficos
Autores principales: Ciaccio, Laura Anna, Veríssimo, João
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Brief Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722799/
https://www.ncbi.nlm.nih.gov/pubmed/35715685
http://dx.doi.org/10.3758/s13423-022-02109-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722799/
https://www.ncbi.nlm.nih.gov/pubmed/35715685
http://dx.doi.org/10.3758/s13423-022-02109-w

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