Statistical models of morphology predict eye-tracking measures during visual word recognition-Reference-Cited by-同舟云学术

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Statistical models of morphology predict eye-tracking measures during visual word recognition

Published:2019-05-17 Issue:7 Volume:47 Page:1245-1269
ISSN:0090-502X
Container-title:Memory & Cognition
language:en
Short-container-title:Mem Cogn

Author:

Lehtonen Minna,Varjokallio Matti,Kivikari Henna,Hultén Annika,Virpioja Sami,Hakala Tero,Kurimo Mikko,Lagus Krista,Salmelin Riitta

Publisher

Springer Science and Business Media LLC

Subject

Arts and Humanities (miscellaneous),Experimental and Cognitive Psychology,Neuropsychology and Physiological Psychology

Link

http://link.springer.com/content/pdf/10.3758/s13421-019-00931-7.pdf

Reference60 articles.

1. Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19, 716–723.

2. Andrews, S., Miller, B., & Rayner, K. (2004). Eye movements and morphological segmentation of compound words: There is a mouse in mousetrap. European Journal of Cognitive Psychology, 16, 285–311.

3. Baayen, H. R., Milin, P., Filipovic, D. D., Hendrix, P., & Marelli, M. (2011). An amorphous model for morphological processing in visual comprehension based on naive discriminative learning. Psychological Review, 118, 438–482.

4. Baayen, R. H., Dijkstra, T., & Schreuder, R. (1997). Singulars and plurals in Dutch: Evidence for a parallel dual route model. Journal of Memory and Language, 37, 94–117.

5. Baayen, R. H., Shaoul, C., Willits, J., & Ramscar, M. (2016). Comprehension without segmentation: A proof of concept with naive discriminative learning. Language, Cognition and Neuroscience, 31(1), 106–128. https://doi.org/10.1080/23273798.2015.1065336

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