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dc.contributorDepartment of Chinese and Bilingual Studiesen_US
dc.creatorZhao, Xen_US
dc.creatorLi, Pen_US
dc.publisherFrontiers Research Foundationen_US
dc.rightsCopyright © 2022 Zhao and Li.en_US
dc.rightsThis is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) ( The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en_US
dc.rightsThe following publication Zhao X and Li P (2022) Fuzzy or Clear? A Computational Approach Towards Dynamic L2 Lexical-Semantic Representation. Front. Commun. 6:726443 is available at
dc.subjectFuzzy lexical representationen_US
dc.subjectComputational modelingen_US
dc.titleFuzzy or clear? A computational approach towards dynamic L2 lexical-semantic representationen_US
dc.typeJournal/Magazine Articleen_US
dcterms.abstractIn this paper, we present a computational approach to bilingual speakers’ non-native (L2) lexical-semantic representations. Specifically, based on detailed analyses of the error patterns shown in our previous simulation results (Zhao and Li Int. J. Bilingual. Educ. Bilingual., 2010, 13, 505–524; Zhao and Li, Bilingualism, 2013, 16, 288–303), we aim at revealing the underlying learning factors that may affect the extent of fuzzy category boundaries within bilinguals’ L2 representation. Here, we first review computational bilingual models in the literature that have focused on simulating L2 lexical representations, including the Developmental Lexicon II (DevLex-II) model (Zhao and Li, Int. J. Bilingual. Educ. Bilingual., 2010, 13, 505–524; Zhao and Li, Bilingualism, 2013, 16, 288–303), on which the current study is based. The DevLex-II modeling results indicate a strong age of acquisition (AoA) effect: When the learning of L2 is early relative to that of native language (L1), functionally distinct lexical representations may be established for both languages; when the learning of L2 is significantly delayed relative to that of L1, fuzzy L2 representations may occur due to the structural consolidation (or the entrenchment) of the L1 lexicon. Next, we explore the error patterns shown in both lexical comprehension and production in DevLex-II. A novel contribution of the current study is that we systematically compare the computational simulation results with empirical findings. Such model-based error analyses extend our previous findings by indicating, especially in the late L2 learning condition, that fuzzy L2 semantic representations emerge and lead to processing errors, including errors in unstable phonology-semantic and semantic-phonemic mappings. The DevLex-II model provides a computational account of the development of bilinguals’ L2 representation with reference to the dynamic interaction and competition between the two lexicons. We point to future directions in which fuzzy L2 representations may be overcome, through a framework that highlights the social learning of L2 (SL2) and the embodied semantic representation of the lexicon in the new language (Li and Jeong, Npj Sci. Learn., 2020, 5, 1–9; Zhang, Yang, Wang and Li, Lang. Cogn. Neurosci., 2020, 35, 1223–1238).en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationFrontiers in communication, Jan. 2022, v. 6, 726443en_US
dcterms.isPartOfFrontiers in communicationen_US
dc.description.validate202201 bchyen_US
dc.description.oaVersion of Recorden_US
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