TY - GEN
T1 - Effects of experience in a developmental model of reading
AU - Chang, Ya Ning
AU - Monaghan, Padraic
AU - Welbourne, Stephen
N1 - Funding Information:
This research was supported by ESRC grant RES-000-22-4049.
Publisher Copyright:
© 2016 Proceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016. All rights reserved.
PY - 2016
Y1 - 2016
N2 - There is considerable evidence showing that age of acquisition (AoA) is an important factor influencing lexical processing. Early-learned words tend to be processed more quickly compared to later-learned words. The effect could be due to the gradual reduction in plasticity as more words are learned. Alternatively, it could originate from differences within semantic representations. We implemented the triangle model of reading including orthographic, phonological and semantic processing layers, and trained it according to experience of a language learner to explore the AoA effects in both naming and lexical decision. Regression analyses on the model's performance showed that AoA was a reliable predictor of naming and lexical decision performance, and the effect size was larger for lexical decision than for naming. The modelling results demonstrate that AoA operates differentially on concrete and abstract words, indicating that both the mapping and the representation accounts of AoA were contributing to the model's performance.
AB - There is considerable evidence showing that age of acquisition (AoA) is an important factor influencing lexical processing. Early-learned words tend to be processed more quickly compared to later-learned words. The effect could be due to the gradual reduction in plasticity as more words are learned. Alternatively, it could originate from differences within semantic representations. We implemented the triangle model of reading including orthographic, phonological and semantic processing layers, and trained it according to experience of a language learner to explore the AoA effects in both naming and lexical decision. Regression analyses on the model's performance showed that AoA was a reliable predictor of naming and lexical decision performance, and the effect size was larger for lexical decision than for naming. The modelling results demonstrate that AoA operates differentially on concrete and abstract words, indicating that both the mapping and the representation accounts of AoA were contributing to the model's performance.
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M3 - Conference contribution
AN - SCOPUS:85139239211
T3 - Proceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016
SP - 123
EP - 128
BT - Proceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016
A2 - Papafragou, Anna
A2 - Grodner, Daniel
A2 - Mirman, Daniel
A2 - Trueswell, John C.
PB - The Cognitive Science Society
T2 - 38th Annual Meeting of the Cognitive Science Society: Recognizing and Representing Events, CogSci 2016
Y2 - 10 August 2016 through 13 August 2016
ER -