Phonological recoding in the second language processing

Chang H. Lee, Kyungill Kim, Heuiseok Lim

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

Abstract

A phonological priming task was conducted in order to determine the presence of second language phonological recoding. Eighteen Koreans who had acquired English after a critical language learning period participated in the experiment. Compared with controls, the phonological condition (e.g., TOWED -> toad) was more advantageous in processing the target in the priming task than the orthographic condition (e.g., TOLD -> toad). This result indicates that second languages are learned and processed phonologically rather than orthographically.

Original languageEnglish
Title of host publicationComputational Science and Its Applications - ICCSA 2010 - International Conference, Proceedings
Pages370-375
Number of pages6
EditionPART 4
DOIs
Publication statusPublished - 2010
Event2010 International Conference on Computational Science and Its Applications, ICCSA 2010 - Fukuoka, Japan
Duration: 2010 Mar 232010 Mar 26

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 4
Volume6019 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2010 International Conference on Computational Science and Its Applications, ICCSA 2010
CountryJapan
CityFukuoka
Period10/3/2310/3/26

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Phonological recoding in the second language processing'. Together they form a unique fingerprint.

  • Cite this

    Lee, C. H., Kim, K., & Lim, H. (2010). Phonological recoding in the second language processing. In Computational Science and Its Applications - ICCSA 2010 - International Conference, Proceedings (PART 4 ed., pp. 370-375). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6019 LNCS, No. PART 4). https://doi.org/10.1007/978-3-642-12189-0-32