Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/118153
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dc.contributorDepartment of Language Science and Technologyen_US
dc.creatorZhang, Xen_US
dc.creatorZhu, Sen_US
dc.creatorYao, Yen_US
dc.creatorYu, Sen_US
dc.creatorPang, Wen_US
dc.creatorZhu, Xen_US
dc.date.accessioned2026-03-19T07:17:33Z-
dc.date.available2026-03-19T07:17:33Z-
dc.identifier.issn1868-6303en_US
dc.identifier.urihttp://hdl.handle.net/10397/118153-
dc.language.isoenen_US
dc.publisherDe Gruyter Moutonen_US
dc.rights© 2026 the author(s), published by De Gruyter. This work is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Zhang, X., Zhu, S., Yao, Y., Yu, S., Pang, W. & Zhu, X. (). The influence of linguistic features on L2 Chinese writing quality among students with various L1 backgrounds. Applied Linguistics Review is available at https://doi.org/10.1515/applirev-2025-0007.en_US
dc.subjectChinese as a second languageen_US
dc.subjectL1 backgrounden_US
dc.subjectLexical complexityen_US
dc.subjectLinguistic measureen_US
dc.subjectSecond language writingen_US
dc.subjectSyntactic complexityen_US
dc.titleThe influence of linguistic features on L2 Chinese writing quality among students with various L1 backgroundsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.doi10.1515/applirev-2025-0007en_US
dcterms.abstractRecent studies with automatic text analyzers have explored linguistic measures for predicting writing quality, mostly in English texts by diverse learners. However, research on L2 writing in non-alphabetic languages among students with varied L1 backgrounds remains scarce. This study examines how lexical and syntactic complexity affect writing quality in Chinese-as-a-Second-Language (CSL) students in Hong Kong, using 340 samples from 115 secondary school students with diverse L1 backgrounds. Linear mixed-effects analysis reveals that linguistic indices, including lexical richness and syntactic complexity serve as strong predictors of writing quality, with the combination of logarithmic Type-Token Ratio (LTTR) and syntactic measures (i.e., noun phrase frequency, tree depth, and coordinate phrase usage) explaining 68.5% of the variance. Error analysis demonstrates that L1 word order significantly influences both linguistic complexity patterns and error distributions, with SVO-L1 students demonstrating superior performance compared to other groups. This study extends understanding of linguistic complexity and writing quality relationships to non-alphabetic L2 languages while highlighting the mediating role of L1 typological features in shaping measurable aspects of CSL writing development. Theoretical and pedagogical implications are discussed.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationApplied linguistics review, Published/Copyright: March 19, 2026, Ahead of Publication / Just Accepted, https://doi.org/10.1515/applirev-2025-0007en_US
dcterms.isPartOfApplied linguistics reviewen_US
dcterms.issued2026-
dc.identifier.eissn1868-6311en_US
dc.description.validate202603 bcchen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera4344, OA_TA-
dc.identifier.SubFormID52616-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusEarly releaseen_US
dc.description.TADe Gruyter (2026)en_US
dc.description.oaCategoryTAen_US
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