Rights statement: This is the author’s version of a work that was accepted for publication in Cognitive Psychology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Cognitive Psychology, 91, 2016 DOI: 10.1016/j.cogpsych.2016.09.001
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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Exploring orthographic neighborhood size effects in a computational model of Chinese character naming
AU - Chang, Ya-Ning
AU - Welbourne, Stephen
AU - Lee, Chia-Ying
N1 - This is the author’s version of a work that was accepted for publication in Cognitive Psychology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Cognitive Psychology, 91, 2016 DOI: 10.1016/j.cogpsych.2016.09.001
PY - 2016/12
Y1 - 2016/12
N2 - Orthographic neighborhood (N) size effects have been extensively studied in English consistently producing a facilitatory effect in word naming tasks. In contrast, several recent studies on Chinese character naming have demonstrated an inhibitory effect of neighborhood size. Response latencies tend to be inhibited by inconsistent characters with large neighborhoods relative to small neighborhoods. These differences in neighborhood effects between languages may depend on the characteristics (depth) of the mapping between orthography and phonology. To explore this, we first conducted a behavioral experiment to investigate the relationship between neighborhood size, consistency and reading response. The results showed an inhibitory effect of neighborhood size for inconsistent characters but a facilitatory effect for consistent characters. We then developed two computational models based on parallel distributed processing principles to try and capture the nature of the processing that leads to these results in Chinese character naming. Simulations using models based on the triangle model of reading indicated that consistency and neighborhood size interact with the division of labor between semantics and phonology to produce these effects.
AB - Orthographic neighborhood (N) size effects have been extensively studied in English consistently producing a facilitatory effect in word naming tasks. In contrast, several recent studies on Chinese character naming have demonstrated an inhibitory effect of neighborhood size. Response latencies tend to be inhibited by inconsistent characters with large neighborhoods relative to small neighborhoods. These differences in neighborhood effects between languages may depend on the characteristics (depth) of the mapping between orthography and phonology. To explore this, we first conducted a behavioral experiment to investigate the relationship between neighborhood size, consistency and reading response. The results showed an inhibitory effect of neighborhood size for inconsistent characters but a facilitatory effect for consistent characters. We then developed two computational models based on parallel distributed processing principles to try and capture the nature of the processing that leads to these results in Chinese character naming. Simulations using models based on the triangle model of reading indicated that consistency and neighborhood size interact with the division of labor between semantics and phonology to produce these effects.
KW - Orthographic neighborhood size
KW - Phonetic radical neighbors
KW - Consistency
KW - Chinese character naming
KW - Semantics
KW - Computational modeling
U2 - 10.1016/j.cogpsych.2016.09.001
DO - 10.1016/j.cogpsych.2016.09.001
M3 - Journal article
VL - 91
SP - 1
EP - 23
JO - Cognitive Psychology
JF - Cognitive Psychology
SN - 0010-0285
ER -