Assessing syntactic and lexicogrammatical use in second language Mandarin writing samples

IF 8.3 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Susanne DeVore , Kristopher Kyle
{"title":"Assessing syntactic and lexicogrammatical use in second language Mandarin writing samples","authors":"Susanne DeVore ,&nbsp;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 &amp; Housen, 2012; Norris &amp; 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 &amp; 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.

评估第二语言普通话写作样本的句法和词汇语法使用
句法复杂性的一般指标(如t -单位的平均长度,每个t -单位的从句)早已被用来衡量成人语言学习者的写作水平。Housen, 2012;诺里斯,奥尔特加,2006;奥尔特加,2003;Wolfe-Quintero et al., 1998)。相比之下,最近的一些研究则侧重于使用基于使用的语言学习理论的方法来衡量成人的第二语言写作能力。本研究扩展了先前的研究(如Kyle &Crossley, 2017),通过比较汉语学习者基于使用的句法和词汇语法使用指标和一般指标。它还通过调查是否存在有意义的非线性趋势来扩展先前的工作。为此,首先将多元线性回归模型与多项式模型进行比较,分别用于通用指数和基于使用的指数。然后比较每种指数的最强模型,以确定哪种模型更好。与Kyle和Crossley(2017)的研究一致,他们发现在普通话中,基于使用的指标比一般指标更能预测熟练程度,并且动词的使用频率随着时间的推移而降低,而动词与VAC之间的关联强度则增加。综合指数呈非线性变化,而利用指数呈线性变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
ACS Applied Materials & Interfaces
ACS Applied Materials & Interfaces 工程技术-材料科学:综合
CiteScore
16.00
自引率
6.30%
发文量
4978
审稿时长
1.8 months
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信