提出七种新复杂度指标，可有效评估二语写作水平。
Assessing the validity of new paradigmatic complexity measures as criterial features for proficiency in L2 writings in English
- 基于语法范式与语言功能关联，构建七种微观复杂度指标。
- 单独看影响小，组合使用可显著预测学习者水平。
- 适合用于英语二语写作自动评估系统开发。
本文通过研究新的语法与结构复杂度度量方法，探讨第二语言（L2）写作发展。通过将语言功能与特定语法范式关联，利用EFCAMDAT作为黄金标准，以法语学习者语料库为外部测试集，采用监督学习框架对七个微观系统（MS）进行操作化与评估。结果表明，学习者水平与这七个微系统均相关，但单个指标影响较弱；而当作为整体使用时，其预测能力显著提升。这些微系统及其测量方法表明，它们可作为面向综合评估的计算机辅助语言学习（CALL）系统的效能特征。
原文摘要 · Abstract (English)
This article addresses Second Language (L2) writing development through an investigation of new grammatical and structural complexity metrics. We explore the paradigmatic production in learner English by linking language functions to specific grammatical paradigms. Using the EFCAMDAT as a gold standard and a corpus of French learners as an external test set, we employ a supervised learning framework to operationalise and evaluate seven microsystems. We show that learner levels are associated with the seven microsystems (MS). Using ordinal regression modelling for evaluation, the results show that all MS are significant but yield a low impact if taken individually. However, their influence is shown to be impactful if taken as a group. These microsystems and their measurement method suggest that it is possible to use them as part of broader-purpose CALL systems focused on proficiency assessment.
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