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Reference-based Metrics can be Replaced with Reference-less Metrics in Evaluating Grammatical Error Correction Systems

机译:在评估语法错误纠正系统时,可以将基于参考的度量替换为无参考度量

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In grammatical error correction (GEC), automatically evaluating system outputs requires gold-standard references, which must be created manually and thus tend to be both expensive and limited in coverage. To address this problem, a reference-less approach has recently emerged; however, previous reference-less metrics that only consider the criterion of grammaticality, have not worked as well as reference-based metrics. This study explores the potential of extending a prior grammaticality-based method to establish a reference-less evaluation method for GEC systems. Further, we empirically show that a reference-less metric that combines fluency and meaning preservation with grammaticality provides a better estimate of manual scores than that of commonly used reference-based metrics. To our knowledge, this is the first study that provides empirical evidence that a reference-less metric can replace reference-based metrics in evaluating GEC systems.
机译:在语法错误校正(GEC)中,自动评估系统输出需要黄金标准的参考,这些参考必须手动创建,因此往往既昂贵又覆盖范围有限。为了解决这个问题,最近出现了一种无参考方法。但是,以前仅考虑语法标准的无引用量度没有像基于引用量度那样有效。这项研究探索了扩展基于语法的先前方法以建立GEC系统的无参考评估方法的潜力。此外,我们从经验上表明,结合了流利性和意义保留与语法功能的无参考量度指标比常规的基于参考的量度指标能更好地估算人工得分。据我们所知,这是第一项提供经验证据的研究,它证明在评估GEC系统时,无参考指标可以代替基于参考的指标。

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