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A method for detecting tense errors in learner English

机译:一种检测学习者英语时态误差的方法

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摘要

Although tense errors are one major source of grammatical errors in learner English, there has been almost no work on their detection. Tense error detection seems extremely difficult considering that its determination greatly relies on intention and context. Despite the difficulties, this paper shows that tense error can be efficiently detected by exploiting a linguistic property of English verbs called stativity. Our proposed method predicts the stativity of the verbs and then detects tense errors based on the prediction. Experiments show that it achieves an - measure of 0.571 and outperforms methods implemented for comparison.
机译:虽然时态错误是学习者英语中语法错误的一个主要来源,但在他们的检测中几乎没有工作。考虑到其决心极大地依赖于意图和背景,时态误差检测似乎非常困难。尽管存在困难,但本文表明,通过利用称为统计性的英语动词的语言属性,可以有效地检测时误差。我们所提出的方法预测了动词的统治性,然后根据预测检测时态误差。实验表明,它实现了0.571的措施,并且实现了比较的优异方法。

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