Grammatical error correction (GEC) is a promising task aimed at correcting errors in a text.
Many methods have been proposed to facilitate this task with remarkable results. However …

Grammatical error correction aims to correct ungrammatical sentences automatically.
Recently, some work has demonstrated the excellent capabilities of closed-source Large …

Grammatical Error Correction (GEC) systems play a vital role in assisting people with their
daily writing tasks. However, users may sometimes come across a GEC system that initially …

We propose a refined alignment-based method to assess end-to-end grammatical error
correction (GEC) systems, aiming to reproduce and improve results from existing evaluation …

For the grammatical error correction (GEC) task, there usually exist multiple correction ways
for an erroneous input sentence, leading to multiple references. Observing the high …

Current mainstream for Chinese grammatical error correction methods rely on deep neural
network models, which require a large amount of high-quality data for training. However …

Deep learning has shown remarkable effectiveness in various language tasks. This paper
presents Huawei Translation Services Center's (HW-TSC's) work called HWCGEC which get …

Abstract Grammatical Error Correction (GEC) is a crucial technique in Automated Essay
Scoring (AES) for evaluating the fluency of essays. However, in Chinese, existing GEC …

Supervised spelling error correction models have achieved outstanding performances on
rich-source languages. However, these models are difficult to directly apply to Vietnamese …

Current Grammar Error Correction (GEC) initiatives tend to focus on major languages, with
less attention given to low-resource languages like Esperanto. In this article, we begin to …