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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’)...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| 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 |