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...

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Detalles Bibliográficos
Autores principales: Lehtonen, Minna, Varjokallio, Matti, Kivikari, Henna, Hultén, Annika, Virpioja, Sami, Hakala, Tero, Kurimo, Mikko, Lagus, Krista, Salmelin, Riitta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2019
Materias:
Article
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

Internet

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

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