Grammatical Error Correction

Grammatical error correction (GEC) aims to automatically identify and rectify grammatical mistakes in text, primarily focusing on improving accuracy and fluency. Current research heavily utilizes large language models (LLMs) within various architectures, including sequence-to-sequence and non-autoregressive models, often employing techniques like data augmentation and multi-task learning to enhance performance. This field is significant for its potential to improve language learning tools, automate writing assistance, and advance the understanding of both human language and artificial intelligence evaluation methods. Furthermore, the development of robust evaluation metrics, including those leveraging LLMs themselves, is a key area of ongoing investigation.