Visual word recognition of multisyllabic words
By M. Yap, David A. Balota. 2009
296 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Developmental and Educational Psychology
View Paper: https://www.semanticscholar.org/paper/aa3df211ee416cac7b9f818c161993bd7d997564
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Victor Kuperman
- Marc Brysbaert
- Emmanuel Keuleers
- Hans Stadthagen-González
- Boris New
- Lucia Specia
- Gustavo Paetzold
In Developmental and Educational Psychology
- Marc Brysbaert
- Emmanuel Keuleers
- Victor Kuperman
- Boris New
- Hans Stadthagen-González
- Paweł Mandera
- Laura K. Nelson
- Scott Andrew Crossley
Citations in the corpus
- SUBTLEX-NL: A new measure for Dutch word frequency based on film subtitles (2010, background): “Because visual lexical decision is particularly sensitive to word frequencies (Balota et al., 2004; Brysbaert & New, 2009; Cortese & Khanna, 2007; Yap & Balota, 2009 ), it is a particularly informative task to validate a frequency measure.”
- Age-of-acquisition ratings for 30,000 English words (2012, background): “Finally, the quality of the first phoneme of a word, or its place or manner of articulation, is the most influential variable in word naming (Balota et al., 2004; Yap & Balota, 2009) and auditory lexical decision (Yap & Brysbaert, 2009).”
- Beyond single syllables: large-scale modeling of reading aloud with the Connectionist Dual Process (CDP++) model. (2010, unknown): “In terms of RTs, there was either no significant effect (Chateau & Jared, 2003) or a very weak effect that was potentially caused by intercorrelated variables rather than by stress itself (Yap & Balota, 2009).”