论文标题
用学习者语言分类句法错误
Classifying Syntactic Errors in Learner Language
论文作者
论文摘要
我们提出了一种在学习者语言中分类句法错误的方法，即校正会改变句子的形态句法结构。 该方法基于已建立的通用依赖性句法表示方案，并为其他错误分类系统提供了互补信息。 与现有的错误分类方法不同，我们的方法适用于跨语言，我们通过在学习者英语和学习者俄语中详细的句法错误来展示。我们进一步证明了该方法的实用性，用于分析领先的语法误差校正（GEC）系统的输出。
We present a method for classifying syntactic errors in learner language, namely errors whose correction alters the morphosyntactic structure of a sentence. The methodology builds on the established Universal Dependencies syntactic representation scheme, and provides complementary information to other error-classification systems. Unlike existing error classification methods, our method is applicable across languages, which we showcase by producing a detailed picture of syntactic errors in learner English and learner Russian. We further demonstrate the utility of the methodology for analyzing the outputs of leading Grammatical Error Correction (GEC) systems.
