Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/81754
PIRA download icon_1.1View/Download Full Text
Title: Phonological network fluency identifies phonological restructuring through mental search
Authors: Neergaard, KD
Luo, J
Huang, CR 
Issue Date: 2019
Source: Scientific reports, 5 Nov. 2019, v. 9, 15984, p. 1-12
Abstract: We investigated network principles underlying mental search through a novel phonological verbal fluency task. Post exclusion, 95 native-language Mandarin speakers produced as many items that differed by a single lexical tone as possible within one minute. Their verbal productions were assessed according to several novel graded fluency measures, and network science measures that accounted for the structure, cohesion and interconnectedness of lexical items. A multivariate regression analysis of our participants' language backgrounds included their mono- or multi-lingual status, English proficiency, and fluency in other Chinese languages/dialects. Higher English proficiency predicted lower error rates and greater interconnectedness, while higher fluency in other Chinese languages/dialects revealed lower successive similarity and lower network coherence. This inverse relationship between English and other Chinese languages/dialects provides evidence of the restructuring of the phonological mental lexicon.
Publisher: Nature Publishing Group
Journal: Scientific reports 
EISSN: 2045-2322
DOI: 10.1038/s41598-019-52433-w
Rights: Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in thearticle’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
© The Author(s) 2019
The following publication Neergaard, K.D., Luo, J. & Huang, C. Phonological network fluency identifies phonological restructuring through mental search. Sci Rep 9, 15984 (2019), 1-12 is available at https://dx.doi.org/10.1038/s41598-019-52433-w
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Neergaard_Phonological_network_Fluency.pdf1.58 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

70
Citations as of May 15, 2022

Downloads

54
Citations as of May 15, 2022

SCOPUSTM   
Citations

2
Citations as of May 20, 2022

WEB OF SCIENCETM
Citations

4
Citations as of May 19, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.