The time-course of lexical activation in Japanese morphographic word recognition: Evidence for a character-driven processing model
Publication year
2014Number of pages
35 p.
Source
The Quarterly Journal of Experimental Psychology, 67, 1, (2014), pp. 79-113ISSN
Publication type
Article / Letter to editor
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Organization
Taalwetenschap
SW OZ DCC PL
Journal title
The Quarterly Journal of Experimental Psychology
Volume
vol. 67
Issue
iss. 1
Languages used
English (eng)
Page start
p. 79
Page end
p. 113
Subject
Cognitive and developmental aspects of Multilingualism; DI-BCB_DCC_Theme 1: Language and Communication; Language in Mind; PsycholinguisticsAbstract
This lexical decision study with eye tracking of Japanese two-kanji-character words investigated the order in which a whole two-character word and its morphographic constituents are activated in the course of lexical access, the relative contributions of the left and the right characters in lexical decision, the depth to which semantic radicals are processed, and how nonlinguistic factors affect lexical processes. Mixed-effects regression analyses of response times and subgaze durations (i.e., first-pass fixation time spent on each of the two characters) revealed joint contributions of morphographic units at all levels of the linguistic structure with the magnitude and the direction of the lexical effects modulated by readers' locus of attention in a left-to-right preferred processing path. During the early time frame, character effects were larger in magnitude and more robust than radical and whole-word effects, regardless of the font size and the type of nonwords. Extending previous radical-based and character-based models, we propose a task/decision-sensitive character-driven processing model with a level-skipping assumption: Connections from the feature level bypass the lower radical level and link up directly to the higher character level.
This item appears in the following Collection(s)
- Academic publications [246764]
- Faculty of Arts [30043]
- Faculty of Social Sciences [30508]
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