The time course of speaking rate specificity effects in spoken word recognition

2005 ◽  
Vol 118 (3) ◽  
pp. 2034-2034
Author(s):  
Conor T. McLennan ◽  
Paul A. Luce
Keyword(s):  
Word Recognition ◽  
Time Course ◽  
Spoken Word Recognition ◽  
Spoken Word ◽  
Speaking Rate ◽  
Specificity Effects

Tracking the time course of lexical access in spoken word recognition

1997 ◽  
Author(s):  
Paul D. Allopenna ◽  
James S. Magnuson ◽  
Michael K. Tanenhaus
Keyword(s):  
Word Recognition ◽  
Lexical Access ◽  
Time Course ◽  
Spoken Word Recognition ◽  
Spoken Word

scholarly journals Lexical stress information modulates the time‐course of spoken‐word recognition

2008 ◽  
Vol 123 (5) ◽  
pp. 3425-3425
Author(s):  
Eva Reinisch ◽  
Alexandra Jesse ◽  
James M. McQueen
Keyword(s):  
Word Recognition ◽  
Time Course ◽  
Spoken Word Recognition ◽  
Spoken Word ◽  
Lexical Stress

scholarly journals Effects of Age, Word Frequency, and Noise on the Time Course of Spoken Word Recognition

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Kristin J. Van Engen ◽  
Avanti Dey ◽  
Nichole Runge ◽  
Brent Spehar ◽  
Mitchell S. Sommers ◽  
...  
Keyword(s):  
Older Adults ◽  
Young Adults ◽  
Word Recognition ◽  
Target Word ◽  
Word Frequency ◽  
Time Course ◽  
Spoken Word Recognition ◽  
Low Frequency ◽  
Spoken Word ◽  
Lexical Activation

This study assessed the effects of age, word frequency, and background noise on the time course of lexical activation during spoken word recognition. Participants (41 young adults and 39 older adults) performed a visual world word recognition task while we monitored their gaze position. On each trial, four phonologically unrelated pictures appeared on the screen. A target word was presented auditorily following a carrier phrase (“Click on ________”), at which point participants were instructed to use the mouse to click on the picture that corresponded to the target word. High- and low-frequency words were presented in quiet to half of the participants. The other half heard the words in a low level of noise in which the words were still readily identifiable. Results showed that, even in the absence of phonological competitors in the visual array, high-frequency words were fixated more quickly than low-frequency words by both listener groups. Young adults were generally faster to fixate on targets compared to older adults, but the pattern of interactions among noise, word frequency, and listener age showed that older adults’ lexical activation largely matches that of young adults in a modest amount of noise.

scholarly journals The Roles of Consonant, Rime, and Tone in Mandarin Spoken Word Recognition: An Eye-Tracking Study

2022 ◽  
Vol 12 ◽  
Author(s):  
Ting Zou ◽  
Yutong Liu ◽  
Huiting Zhong
Keyword(s):  
Word Recognition ◽  
Eye Tracking ◽  
Time Course ◽  
Spoken Word Recognition ◽  
Continuous Mapping ◽  
Phonological Similarity ◽  
Spoken Word ◽  
Relative Role ◽  
Growth Curve Analysis ◽  
Mapping Models

This study investigated the relative role of sub-syllabic components (initial consonant, rime, and tone) in spoken word recognition of Mandarin Chinese using an eye-tracking experiment with a visual world paradigm. Native Mandarin speakers (all born and grew up in Beijing) were presented with four pictures and an auditory stimulus. They were required to click the picture according to the sound stimulus they heard, and their eye movements were tracked during this process. For a target word (e.g., tang2 “candy”), nine conditions of competitors were constructed in terms of the amount of their phonological overlap with the target: consonant competitor (e.g., ti1 “ladder”), rime competitor (e.g., lang4 “wave”), tone competitor (e.g., niu2 “cow”), consonant plus rime competitor (e.g., tang1”soup”), consonant plus tone competitor (e.g., tou2 “head”), rime plus tone competitor (e.g., yang2 “sheep”), cohort competitor (e.g., ta3 “tower”), cohort plus tone competitor (e.g., tao2 “peach”), and baseline competitor (e.g., xue3 “snow”). A growth curve analysis was conducted with the fixation to competitors, targets, and distractors, and the results showed that (1) competitors with consonant or rime overlap can be adequately activated, while tone overlap plays a weaker role since additional tonal information can strengthen the competitive effect only when it was added to a candidate that already bears much phonological similarity with the target. (2) Mandarin words are processed in an incremental way in the time course of word recognition since different partially overlapping competitors could be activated immediately; (3) like the pattern found in English, both cohort and rime competitors were activated to compete for lexical activation, but these two competitors were not temporally distinctive and mainly differed in the size of their competitive effects. Generally, the gradation of activation based on the phonological similarity between target and candidates found in this study was in line with the continuous mapping models and may reflect a strategy of native speakers shaped by the informative characteristics of the interaction among different sub-syllabic components.

Time Course of Frequency Effects in Spoken-Word Recognition: Evidence from Eye Movements

2001 ◽  
Vol 42 (4) ◽  
pp. 317-367 ◽  
Author(s):  
Delphine Dahan ◽  
James S. Magnuson ◽  
Michael K. Tanenhaus
Keyword(s):  
Eye Movements ◽  
Word Recognition ◽  
Time Course ◽  
Spoken Word Recognition ◽  
Spoken Word ◽  
Frequency Effects
Sign in / Sign up

Export Citation Format

Share Document