探讨英语议论文的句法复杂性及其与写作质量的关系

IF 0.2 0 LANGUAGE & LINGUISTICS
F. Shadloo, Hesamoddin Shahriari Ahmadi, B. Ghonsooly
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引用次数: 2

摘要

为了预测二语/外语写作中的句法复杂性,一些研究主张使用t单位和小句从属度量,而另一些研究则主张使用基于短语的度量。本研究旨在找出可以被视为不同写作质量水平的区别的句法特征。为此,我们收集了英语学习者的议论文语料库,然后对这些论文进行评分,并将其分为高评分、中评分和低评分三组。然后对语料库进行编码并分析短语和小句的特征。根据Biber, Gray和Poonpon(2011)为学术写作假设的发展方案,对短语特征进行人工编码,并使用Lu(2010)开发的在线L2句法复杂性分析器对小句特征进行分析。使用单独的方差分析检验来比较三组文章的每个短语和小句特征。本研究的结果表明,在我们的语料库中,从属句和从属句并不是不同写作质量的良好指标。此外,Biber等人(2011)预测的名词短语复杂性模式并没有在三个不同写作质量水平的议论文中观察到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring syntactic complexity and its relationship with writing quality in EFL argumentative essays
Abstract To predict syntactic complexity in second/foreign language writing, some studies have advocated the use of T-unit and clausal subordination measures while others have argued for the use of phrase-based measures. This study seeks to identify syntactic features that can be regarded as discriminators among different levels of writing quality. For this purpose, a corpus of argumentative essays by EFL learners was compiled and then the essays were rated and placed into three groups of high-rated, mid-rated, and low-rated essays. The corpus was then coded and analysed for both phrasal and clausal features. The phrasal features were manually coded based on the development scheme hypothesized by Biber, Gray and Poonpon (2011) for academic writing, and the clausal features were analysed using the online L2 Syntactic Complexity Analyzer developed by Lu (2010). A separate ANOVA test was used to compare the three groups of essays for each of the phrasal and clausal features. The findings of the current study demonstrated that subordination and dependent clauses were not good indicators of different writing qualities in our corpus. Also, the pattern of noun phrase complexity predicted by Biber et al. (2011) was not observed across argumentative essays from three different levels of writing quality.
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来源期刊
Topics in Linguistics
Topics in Linguistics LANGUAGE & LINGUISTICS-
CiteScore
1.20
自引率
0.00%
发文量
7
审稿时长
26 weeks
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