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Autor/inn/enJiang, Nan; Feng, Lijuan
TitelAnalytic Visual Word Recognition among Chinese L2 Learners
QuelleIn: Foreign Language Annals, 55 (2022) 2, S.540-558 (19 Seiten)
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ZusatzinformationORCID (Jiang, Nan)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0015-718X
DOI10.1111/flan.12604
SchlagwörterWord Recognition; Language Processing; Chinese; Second Language Learning; Second Language Instruction; Native Language; Language Proficiency; Task Analysis; Decision Making; Reaction Time; Predictor Variables; Teaching Methods; Orthographic Symbols; Reading Processes
AbstractThe process of word recognition can be analytic (or serial) or holistic (or parallel). They differ in the size of the processing units (lexical vs. sublexical) or in whether sublexical units are processed sequentially or simultaneously. First language (L1) reading development has been found to involve a transition from serial processing to parallel processing, as shown in a decreasing length or stroke number effect among readers of increasing proficiencies. The present study was intended to explore the use of analytic versus holistic character recognition strategies in the second language (L2) learners, an issue that has not received much attention. Chinese native speakers and learners of Chinese as a second language (CSL) were tested in a variant of the lexical decision task on Chinese characters of different numbers of strokes. Regression analyses with reaction times as an outcome variable and stroke number as a predictor variable showed that CSL speakers produced a stroke number effect where native speakers did not. The results were interpreted as evidence for the employment of an analytic processing strategy by L2 speakers. The findings raised several important issues for future research and for pedagogical considerations. (As Provided).
AnmerkungenWiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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