ERIC Number: EJ1086307
Record Type: Journal
Publication Date: 2016
Abstractor: As Provided
Visual Complexity in Orthographic Learning: Modeling Learning across Writing System Variations
Chang, Li-Yun; Plaut, David C.; Perfetti, Charles A.
Scientific Studies of Reading, v20 n1 p64-85 2016
The visual complexity of orthographies varies across writing systems. Prior research has shown that complexity strongly influences the initial stage of reading development: the perceptual learning of grapheme forms. This study presents a computational simulation that examines the degree to which visual complexity leads to grapheme learning difficulty. We trained each of 131 identical neural networks to learn the structure of a different orthography and demonstrated a strong, positive association between network learning difficulty and multiple dimensions of grapheme complexity. We also tested the model's performance against grapheme complexity effects on behavioral same/different judgments. Although the model was broadly consistent with human performance in how processing difficulty depended on the complexity of the tested orthography, as well as its relationship to viewers' first-language orthography, discrepancies provided insight into important limitations of the model. We discuss how visual complexity can be a factor leading to reading difficulty across writing systems.
Descriptors: Reading Skills, Reading Processes, Phoneme Grapheme Correspondence, Native Language, Models, Correlation, Visual Perception, Computer Simulation, Learning Problems, Networks, Difficulty Level, Reading Difficulties, Written Language, Orthographic Symbols, Task Analysis, Statistical Analysis, Semitic Languages, Russian, Chinese, Indo European Languages, Japanese, Dravidian Languages, English, Language Classification, Second Languages
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Sponsor: National Science Foundation (NSF)
Authoring Institution: N/A
Grant or Contract Numbers: SBE0836012; BCS1354350