Abstract Grammatical Error Correction (GEC) is the task of automatically detecting and
correcting errors in text. The task not only includes the correction of grammatical errors, such …

Grammatical error correction (GEC) is an important application aspect of natural language
processing techniques, and GEC system is a kind of very important intelligent system that …

Considerable effort has been made to address the data sparsity problem in neural
grammatical error correction. In this work, we propose a simple and surprisingly effective …

The CoNLL-2014 shared task was devoted to grammatical error correction of all error types.
In this paper, we give the task definition, present the data sets, and describe the evaluation …

Although text recognition has significantly evolved over the years, state-of the-art (SOTA)
models still struggle in the wild scenarios due to complex backgrounds, varying fonts …

Grammatical Error Correction (GEC) has been recently modeled using the sequence-to-
sequence framework. However, unlike sequence transduction problems such as machine …

Natural language correction has the potential to help language learners improve their
writing skills. While approaches with separate classifiers for different error types have high …

Until now, most of the research in grammar error correction focused on English, and the
problem has hardly been explored for other languages. We address the task of correcting …

Novice programmers often struggle with the formal syntax of programming languages. In the
traditional classroom setting, they can make progress with the help of real time feedback …

We consider the problem of correcting errors made by English as a Second Language (ESL)
writers and address two issues that are essential to making progress in ESL error correction …