Visual Word Recognition of Single-Syllable Words.
Washington University in St. Louis · College of Charleston · +1 more institution
Abstract
Speeded visual word naming and lexical decision performance are reported for 2428 words for young adults and healthy older adults. Hierarchical regression techniques were used to investigate the unique predictive variance of phonological features in the onsets, lexical variables (e.g., measures of consistency, frequency, familiarity, neighborhood size, and length), and semantic variables (e.g. imageahility and semantic connectivity). The influence of most variables was highly task dependent, with the results shedding light on recent empirical controversies in the available word recognition literature. Semantic-level variables accounted for unique variance in both speeded naming and lexical decision…
Citation impact
- FWCI
- 21.21
- Percentile
- 100%
- References
- 149
Authors
5Topics & keywords
- Lexical decision task
- Word recognition
- Word (group theory)
- Variance (accounting)
- Syllable
- Natural language processing
- Computer science
- Psychology
- Peace, Justice and strong institutions