{"title":"Assessing syntactic and lexicogrammatical use in second language Mandarin writing samples","authors":"Susanne DeVore , Kristopher Kyle","doi":"10.1016/j.jslw.2023.101014","DOIUrl":null,"url":null,"abstract":"<div><p>General indices of syntactic complexity (e.g. mean length of T-unit, clauses per T-Unit) have long been used to measure the writing proficiency of adult language learners (Bulté & Housen, 2012; Norris & Ortega, 2006; Ortega, 2003; Wolfe-Quintero et al., 1998). In contrast, a number of recent studies have focused on measuring adult second language writing proficiency using methods rooted in usage-based theories of language learning. The present study extends previous research (e.g., Kyle & Crossley, 2017) by comparing usage-based and general indices of syntactic and lexicogrammatical use in learners of Mandarin. It also extends previous work by investigating whether meaningful, but non-linear trends exist. To do this, it first compares multiple linear regression models to polynomial models for general and usage-based indices respectively. Then it compares the strongest model for each type of index to determine which is better. Consistent with Kyle and Crossley (2017), it finds that in Mandarin usage-based indices are better predictors of proficiency than general indices and that the frequency of the verb decreases over time while the strength of association between verb and VAC increases. Furthermore, non-linear trajectories were found to exist in general indices while usage-based indices were linear.</p></div>","PeriodicalId":5,"journal":{"name":"ACS Applied Materials & Interfaces","volume":null,"pages":null},"PeriodicalIF":8.3000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Materials & Interfaces","FirstCategoryId":"98","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1060374323000528","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
General indices of syntactic complexity (e.g. mean length of T-unit, clauses per T-Unit) have long been used to measure the writing proficiency of adult language learners (Bulté & Housen, 2012; Norris & Ortega, 2006; Ortega, 2003; Wolfe-Quintero et al., 1998). In contrast, a number of recent studies have focused on measuring adult second language writing proficiency using methods rooted in usage-based theories of language learning. The present study extends previous research (e.g., Kyle & Crossley, 2017) by comparing usage-based and general indices of syntactic and lexicogrammatical use in learners of Mandarin. It also extends previous work by investigating whether meaningful, but non-linear trends exist. To do this, it first compares multiple linear regression models to polynomial models for general and usage-based indices respectively. Then it compares the strongest model for each type of index to determine which is better. Consistent with Kyle and Crossley (2017), it finds that in Mandarin usage-based indices are better predictors of proficiency than general indices and that the frequency of the verb decreases over time while the strength of association between verb and VAC increases. Furthermore, non-linear trajectories were found to exist in general indices while usage-based indices were linear.
期刊介绍:
ACS Applied Materials & Interfaces is a leading interdisciplinary journal that brings together chemists, engineers, physicists, and biologists to explore the development and utilization of newly-discovered materials and interfacial processes for specific applications. Our journal has experienced remarkable growth since its establishment in 2009, both in terms of the number of articles published and the impact of the research showcased. We are proud to foster a truly global community, with the majority of published articles originating from outside the United States, reflecting the rapid growth of applied research worldwide.