Electrophysiological Evidence of Different Loci for Word Frequency and Case Mixing in Visual Word Recognition

2011 ◽  
Author(s):  
Philip A. Allen ◽  
Mei-Ching Lien ◽  
Caitlin Crawford



2019 ◽  
Vol 186 ◽  
pp. 65-109
Author(s):  
Eun-ha Lee ◽  
Sun-jin Lee ◽  
Woo-yeol Lim ◽  
Young-joo Kim




1984 ◽  
Vol 36 (3) ◽  
pp. 507-518 ◽  
Author(s):  
Dennis Norris

This paper describes a lexical decision experiment, which examined the relation between word frequency, repetition and stimulus quality. In contrast to earlier studies (Stanners, Jastrzembski and Westbrook, 1975; Becker and Killion, 1977), frequency and stimulus quality were found to interact. The implications of this result for models of word recognition are discussed within the framework of Becker's verification model.





2018 ◽  
Vol 39 (2) ◽  
pp. 279-291 ◽  
Author(s):  
Manuel Roldán ◽  
Ana Marcet ◽  
Manuel Perea

AbstractFor simplicity, models of visual-word recognition have focused on printed words composed of separated letters, thus overlooking the processing of cursive words. Manso de Zuniga, Humphreys, and Evett (1991) claimed that there is an early “cursive normalization” encoding stage when processing written words with joined letters. To test this claim, we conducted a lexical decision experiment in which words were presented either with separated or joined letters. To examine if the cost of letter segmentation occurs early in processing, we also manipulated a factor (i.e., word-frequency) that is posited to affect subsequent lexical processing. Results showed faster response times for the words composed of separated letters than for the words composed of joined letters. This effect occurred similarly for low- and high-frequency words. Thus, the present data offer some empirical support to Manso de Zuniga et al.’s (1991) idea of an early “cursive normalization” stage when processing joined-letters words. This pattern of data can be used to constrain the mapping of the visual input into letter and word units in future versions of models of visual word recognition.



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