2025
Low-Resource Grammatical Error Correction: Selective Data Augmentation with Round-Trip Machine Translation
ACL 2025finding
Supervised state-of-the-art methods for grammatical error correction require large amounts of parallel data for training. Due to lack of gold-labeled data, techniques that create synthetic training data have become popular. We show that models trained on synthetic data tend tocorrect a limited range…