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Statistical models of morphology predict eye-tracking measures during visual word recognition
We studied how statistical models of morphology that are built on different kinds of representational units, i.e., models emphasizing either holistic units or decomposition, perform in predicting human word recognition. More specifically, we studied the predictive power of such models at early vs. l...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6800854/ https://www.ncbi.nlm.nih.gov/pubmed/31102191 http://dx.doi.org/10.3758/s13421-019-00931-7 |