The Dynamics of Visual Word Perception

1998 ◽  
Author(s):  
Jay Rueckl ◽  
Julie Brown
Keyword(s):  
Visual Word ◽  
Word Perception

ERP Evidence of Morphological Analysis from Orthography: A Masked Priming Study

2007 ◽  
Vol 19 (5) ◽  
pp. 866-877 ◽  
Author(s):  
Aureliu Lavric ◽  
Amanda Clapp ◽  
Kathleen Rastle
Keyword(s):  
Morphological Analysis ◽  
Morphological Structure ◽  
Complex Form ◽  
Recognition System ◽  
Masked Priming ◽  
Visual Word ◽  
Word Perception ◽  
Complex Words ◽  
Morphological Relationship ◽  
Broad Consensus

There is broad consensus that the visual word recognition system is sensitive to morphological structure (e.g., “hunter” = “hunt” + “er”). Moreover, it has been assumed that the analysis of morphologically complex words (e.g., “hunter”) occurs only if the meaning of the complex form can be derived from the meanings of its constituents (e.g., “hunt” and “er”). However, recent behavioral work using masked priming has suggested that morphological analysis can occur at an early, orthographic level, with little influence from semantics. The present investigation examined the neurophysiological correlates of masked priming in conditions of a genuine morphological relationship (e.g., “hunter”-“HUNT”), an apparent morphological relationship (“corner”-“CORN”), and no morphological relationship (“brothel”-“BROTH”). Neural priming was indexed by the reduction of the N400 ERP component associated with targets preceded by related primes, as compared to targets preceded by unrelated primes. The mere appearance of morphological structure (“corner”-“CORN”) resulted in robust behavioral and neural priming, whose magnitude was similar to that observed in pairs with genuine morphological relationship and greater than that in the nonmorphological pairs. The results support a purely structural morphemic segmentation procedure operating in the early stages of visual word perception.

Isolating the Units of Visual Word Perception

1975 ◽  
Author(s):  
Glen A. Taylor ◽  
Timothy J. Miller ◽  
James F. Juola
Keyword(s):  
Visual Word ◽  
Word Perception

A Developmental Neural Model of Visual Word Perception

1986 ◽  
Vol 10 (3) ◽  
pp. 241-276 ◽  
Author(s):  
Richard M. Golden
Keyword(s):  
Neural Model ◽  
Visual Word ◽  
Word Perception

scholarly journals The influence of phonological neighborhood on visual word perception

2004 ◽  
Vol 11 (3) ◽  
pp. 452-457 ◽  
Author(s):  
Mark Yates ◽  
Lawrence Locker ◽  
Greg B. Simpson
Keyword(s):  
Visual Word ◽  
Word Perception ◽  
Phonological Neighborhood

Context-dependent migrations in visual word perception.

1989 ◽  
Vol 15 (1) ◽  
pp. 133-141 ◽  
Author(s):  
Frank Van der Velde ◽  
A. H. Van der Heijden ◽  
Robert Schreuder
Keyword(s):  
Visual Word ◽  
Word Perception ◽  
Context Dependent

Does Viotin Activate Violin More Than Viocin?

2014 ◽  
Vol 61 (1) ◽  
pp. 23-29 ◽  
Author(s):  
Manuel Perea ◽  
Victoria Panadero
Keyword(s):  
Word Recognition ◽  
Visual Word Recognition ◽  
Developmental Dyslexia ◽  
Computational Models ◽  
Error Rates ◽  
Visual Word ◽  
Base Word ◽  
Similar Response ◽  
Skilled Readers ◽  
Young Readers

The vast majority of neural and computational models of visual-word recognition assume that lexical access is achieved via the activation of abstract letter identities. Thus, a word’s overall shape should play no role in this process. In the present lexical decision experiment, we compared word-like pseudowords like viotín (same shape as its base word: violín) vs. viocín (different shape) in mature (college-aged skilled readers), immature (normally reading children), and immature/impaired (young readers with developmental dyslexia) word-recognition systems. Results revealed similar response times (and error rates) to consistent-shape and inconsistent-shape pseudowords for both adult skilled readers and normally reading children – this is consistent with current models of visual-word recognition. In contrast, young readers with developmental dyslexia made significantly more errors to viotín-like pseudowords than to viocín-like pseudowords. Thus, unlike normally reading children, young readers with developmental dyslexia are sensitive to a word’s visual cues, presumably because of poor letter representations.

The Sound of Enemies and Friends in the Neighborhood

2011 ◽  
Vol 58 (6) ◽  
pp. 454-463 ◽  
Author(s):  
Diane Pecher ◽  
Inge Boot ◽  
Saskia van Dantzig ◽  
Carol J. Madden ◽  
David E. Huber ◽  
...  
Keyword(s):  
Word Recognition ◽  
Visual Word Recognition ◽  
Neighborhood Effects ◽  
Classification Performance ◽  
Visual Word ◽  
Orthographic Neighborhood ◽  
Semantic Classification ◽  
Semantic Class ◽  
Orthographic Neighbors ◽  
Target Words

Previous studies (e.g., Pecher, Zeelenberg, & Wagenmakers, 2005) found that semantic classification performance is better for target words with orthographic neighbors that are mostly from the same semantic class (e.g., living) compared to target words with orthographic neighbors that are mostly from the opposite semantic class (e.g., nonliving). In the present study we investigated the contribution of phonology to orthographic neighborhood effects by comparing effects of phonologically congruent orthographic neighbors (book-hook) to phonologically incongruent orthographic neighbors (sand-wand). The prior presentation of a semantically congruent word produced larger effects on subsequent animacy decisions when the previously presented word was a phonologically congruent neighbor than when it was a phonologically incongruent neighbor. In a second experiment, performance differences between target words with versus without semantically congruent orthographic neighbors were larger if the orthographic neighbors were also phonologically congruent. These results support models of visual word recognition that assume an important role for phonology in cascaded access to meaning.

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