A Fast Visual Word Frequency - Inverse Image Frequency for Detector of Rare Concepts

Author(s):  
Emilie Dumont ◽  
Hervé Glotin ◽  
Sébastien Paris ◽  
Zhong-Qiu Zhao
2003 ◽  
Vol 15 (3) ◽  
pp. 475-487 ◽  
Author(s):  
Wythe L. Whiting ◽  
David J. Madden ◽  
Linda K. Langley ◽  
Laura L. Denny ◽  
Timothy G. Turkington ◽  
...  

Positron emission tomography data (Madden, Langley, et al., 2002) were analyzed to investigate adult age differences in the relation between neural activation and the lexical (word frequency) and sublexical (word length) components of visual word identification. The differential influence of these components on reaction time (RT) for word/nonword discrimination (lexical decision) was generally similar for the two age groups, with word frequency accounting for a greater proportion of lexical decision RT variance relative to word length. The influence of word length on RT, however, was relatively greater for older adults. Activation in regions of the ventral occipito-temporal cortex was related to the RT changes associated with word frequency and length for older adults, but not for younger adults. Specifically, older adults' frequency effects were related to activation in both anterior (Brodmann's area [BA] 37) and posterior (BAs 17 and 18) regions of the occipito-temporal pathway, whereas word length effects were only associated with posterior activation (BA 17). We conclude that aging affects the neural mechanisms supporting word identification performance although behavioral measures of this ability are generally constant as a function of age.


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.


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