Enhancing Grammatical Error Correction Systems with Explanations
Yuejiao Fei, Leyang Cui, Sen Yang, Wai Pang Lam, Zhenzhong Lan, Shuming Shi · 2023
Grammatical error correction systems improve written communication by detecting and correcting language mistakes.To help language learners better understand why the GEC system makes a certain correction, the causes of errors (evidence words) and the corresponding error types are two key factors.To enhance GEC systems with explanations, we introduce EXPECT, a large dataset annotated with evidence words and grammatical error types.We propose several baselines and analysis to understand this task.Furthermore, human evaluation verifies our explainable GEC system's explanations can assist second-language learners in determining whether to accept a correction suggestion and in understanding the associated grammar rule.