The phonological syllable plays a role in lexical access in korean visual word recognition

Kwon Youan, Park Kinam, Lim Heuiseok, Nam Kichun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recently, the influence of phonological information in visual word recognition has attracted a great amount of studies. Especially, languages with a clear syllable boundary, such as Spanish and French, have reported the syllable-based sub-lexical unit in visual word recognition. The present study investigated whether sub-lexical unit in Korean visual word recognition is phonological syllable or orthographic syllable. In Experiment 1, we orthogonally manipulated the number of phonological syllable neighbors and the number of orthographic syllable neighbors in Korean disyllable words and conducted a lexical decision task. In Experiment 2, new words were used in a computational simulation. The results of two experiments showed the inhibitory effect as increasing the number of phonological syllable neighbor. We can account that the inhibitory effect is due to the lexical competition between phonological syllable-based candidates in the lexical level. The present study expands the notion that the syllable is an important sub-lexical unit in visual word recognition and also phonological information is a main function of lexical process.

Original languageEnglish
Title of host publicationProceedings - Third International Conference on Natural Computation, ICNC 2007
Pages536-542
Number of pages7
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event3rd International Conference on Natural Computation, ICNC 2007 - Haikou, Hainan, China
Duration: 2007 Aug 242007 Aug 27

Publication series

NameProceedings - Third International Conference on Natural Computation, ICNC 2007
Volume5

Other

Other3rd International Conference on Natural Computation, ICNC 2007
Country/TerritoryChina
CityHaikou, Hainan
Period07/8/2407/8/27

ASJC Scopus subject areas

  • Applied Mathematics
  • Computational Mathematics
  • Modelling and Simulation

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