Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/81202
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dc.contributor.authorNeergaard, KDen_US
dc.contributor.authorHuang, CRen_US
dc.date.accessioned2019-08-23T08:29:44Z-
dc.date.available2019-08-23T08:29:44Z-
dc.date.issued2019-
dc.identifier.citationComplexity, 2019, v. 2019, 6979830en_US
dc.identifier.issn1076-2787-
dc.identifier.urihttp://hdl.handle.net/10397/81202-
dc.description.abstractThe purpose of this study was to construct, measure, and identify a schematic representation of phonological processing in the tonal language Mandarin Chinese through the combination of network science and psycholinguistic tasks. Two phonological association tasks were performed with native Mandarin speakers to identify an optimal phonological annotation system. The first task served to compare two existing syllable inventories and to construct a novel system where either performed poorly. The second task validated the novel syllable inventory. In both tasks, participants were found to manipulate lexical items at each possible syllable location, but preferring to maintain whole syllables while manipulating lexical tone in their search through the mental lexicon. The optimal syllable inventory was then used as the basis of a Mandarin phonological network. Phonological edit distance was used to construct sixteen versions of the same network, which we titled phonological segmentation neighborhoods (PSNs). The sixteen PSNs were representative of every proposal to date of syllable segmentation. Syllable segmentation and whether or not lexical tone was treated as a unit both affected the PSNs' topologies. Finally, reaction times from the second task were analyzed through a model selection procedure with the goal of identifying which of the sixteen PSNs best accounted for the mental target during the task. The identification of the tonal complex-vowel segmented PSN (C-V-C-T) was indicative of the stimuli characteristics and the choices participants made while searching through the mental lexicon. The analysis revealed that participants were inhibited by greater clustering coefficient (interconnectedness of words according to phonological similarity) and facilitated by lexical frequency. This study illustrates how network science methods add to those of psycholinguistics to give insight into language processing that was not previously attainable.en_US
dc.description.sponsorshipDepartment of Chinese and Bilingual Studiesen_US
dc.language.isoenen_US
dc.publisherHindawien_US
dc.relation.ispartofComplexityen_US
dc.rightsCopyright © 2019 Karl D. Neergaard and Chu-Ren Huang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
dc.rightsThe following publication Karl D. Neergaard and Chu-Ren Huang, “Constructing the Mandarin Phonological Network: Novel Syllable Inventory Used to Identify Schematic Segmentation,” Complexity, vol. 2019, Article ID 6979830, 21 pages, 2019 is available at https://doi.org/10.1155/2019/6979830en_US
dc.titleConstructing the Mandarin phonological network : novel syllable inventory used to identify schematic segmentationen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume2019-
dc.identifier.doi10.1155/2019/6979830-
dc.identifier.scopus2-s2.0-85065606351-
dc.identifier.eissn1099-0526-
dc.identifier.artn6979830-
dc.description.validate201908 bcma-
dc.description.oapublished_final-
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