不同水平学习者英语作文平均依赖距离的差异

IF 0.2 Q4 LINGUISTICS Glottometrics Pub Date : 2022-01-01 DOI:10.53482/2022_53_400
M. Oya
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引用次数: 0

摘要

本研究考察了学习者语料库中英语作文的平均依赖距离(mdd)的差异,重点关注学习者不同的熟练程度和不同的依赖类型。本研究基于以下三个假设。首先,学习者产出的MDDs随着熟练程度的提高而增加。其次,正如依赖距离最小化原则所预测的那样,存在一个mdd不能超过的上限。最后,不同类型的依赖在不同水平的学习者中表现出不同的倾向。本研究试图用大量的学习者语料库数据来验证这些假设,这些数据根据学习者的熟练程度被分类为子语料库。语料库分析产生的结果支持这些假设。预期这些结果将构成使用单个学习者的产品的MDD来评估他或她的熟练程度的先决条件。
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Differences of Mean Dependency Distances of English Essays Written by Learners of Different Proficiency Levels
This study investigates the differences in the mean dependency distances (MDDs) of the English essays in a learner corpus, focusing on the different proficiency levels of learners, and the different dependency types. This study is based on the following three assumptions. Firstly, the MDDs of learners' production increase as proficiency levels increase. Secondly, there is an upper limit over which MDDs do not exceed, as predicted by the Dependency Distance Minimization principle. Finally, different types of dependencies show different tendencies across learners of different proficiency levels. This study attempts to verify these assumptions with substantial learner corpus data, categorized into subcorpora according to learner proficiency. Corpus analyses yield results that support these assumptions. These results are expected to constitute a prerequisite for employing the MDD of an individual learner's production to evaluate his or her proficiency level.
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来源期刊
Glottometrics
Glottometrics LINGUISTICS-
CiteScore
0.50
自引率
0.00%
发文量
0
期刊介绍: The aim of Glottometrics is quantification, measurement and mathematical modeling of any kind of language phenomena. We invite contributions on probabilistic or other mathematical models (e.g. graph theoretic or optimization approaches) which enable to establish language laws that can be validated by testing statistical hypotheses.
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