A growing body of research suggests that visual word recognition is error-prone, and that errors may contribute to inhibitory neighbour frequency effects in word identification and reading. The present study used the neighbourhood frequency effect to examine the relationship between lexical competition and error making during visual word recognition. A novel adaptation of the visual world paradigm (VWP) was used, in which participants selected a briefly presented printed target word from an array containing the target, its higher- or lower-frequency neighbour, an orthographic onset competitor, and an orthographically unrelated distractor word. Analyses of the visual inspection of the arrays suggested that lexical competition occurred when w...
This study provided a test of the multiple criteria concept used for lexical decision, as implemente...
Item does not contain fulltextThe recognition of words is a central component of language processing...
International audienceA new Bayesian model of visual word recognition is used to simulate neighborho...
A growing body of research suggests that visual word recognition is error-prone, and that errors may...
Two experiments are reported that examine the influence of a given word's ortllographic neighbours (...
When subjects are asked to move items in a visual display in response to spoken instructions, their ...
The present study investigated whether the balance of neighborhood distribution (i.e., the way ortho...
Two lexical decision experiments, using words that were selected and closely matched on several crit...
We report an eye movement experiment investigating whether prior processing of a word's orthographic...
International audienceEffects of blocking words by frequency class (high vs. low) and neighborhood d...
Speeded visual word naming and lexical decision performance are reported for 2,428 words for young a...
Four eye-tracking experiments examined lexical competition in non-native spoken-word recognition. Du...
In the area of visual word recognition, there is considerable disagreement as to whether neighborhoo...
The present study investigated whether the balance of neighborhood distribution (i.e., the way ortho...
Although lexical competition has been ubiquitously observed in spoken word recognition, less has bee...
This study provided a test of the multiple criteria concept used for lexical decision, as implemente...
Item does not contain fulltextThe recognition of words is a central component of language processing...
International audienceA new Bayesian model of visual word recognition is used to simulate neighborho...
A growing body of research suggests that visual word recognition is error-prone, and that errors may...
Two experiments are reported that examine the influence of a given word's ortllographic neighbours (...
When subjects are asked to move items in a visual display in response to spoken instructions, their ...
The present study investigated whether the balance of neighborhood distribution (i.e., the way ortho...
Two lexical decision experiments, using words that were selected and closely matched on several crit...
We report an eye movement experiment investigating whether prior processing of a word's orthographic...
International audienceEffects of blocking words by frequency class (high vs. low) and neighborhood d...
Speeded visual word naming and lexical decision performance are reported for 2,428 words for young a...
Four eye-tracking experiments examined lexical competition in non-native spoken-word recognition. Du...
In the area of visual word recognition, there is considerable disagreement as to whether neighborhoo...
The present study investigated whether the balance of neighborhood distribution (i.e., the way ortho...
Although lexical competition has been ubiquitously observed in spoken word recognition, less has bee...
This study provided a test of the multiple criteria concept used for lexical decision, as implemente...
Item does not contain fulltextThe recognition of words is a central component of language processing...
International audienceA new Bayesian model of visual word recognition is used to simulate neighborho...