Grammatical error correction: A survey of the state of the art

C Bryant, Z Yuan, MR Qorib, H Cao, HT Ng… - Computational …, 2023 - direct.mit.edu
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 …

Reducing sequence length by predicting edit spans with large language models

M Kaneko, N Okazaki - Proceedings of the 2023 Conference on …, 2023 - aclanthology.org
Abstract Large Language Models (LLMs) have demonstrated remarkable performance in
various tasks and gained significant attention. LLMs are also used for local sequence …

Towards explainable ai writing assistants for non-native english speakers

Y Kim, M Lee, D Kim, SJ Lee - arXiv preprint arXiv:2304.02625, 2023 - arxiv.org
We highlight the challenges faced by non-native speakers when using AI writing assistants
to paraphrase text. Through an interview study with 15 non-native English speakers …

Use of an AI-powered Rewriting Support Software in Context with Other Tools: A Study of Non-Native English Speakers

T Ito, N Yamashita, T Kuribayashi, M Hidaka… - Proceedings of the 36th …, 2023 - dl.acm.org
Academic writing in English can be challenging for non-native English speakers (NNESs). AI-
powered rewriting tools can potentially improve NNESs' writing outcomes at a low cost …

CLEME: debiasing multi-reference evaluation for grammatical error correction

J Ye, Y Li, Q Zhou, Y Li, S Ma, HT Zheng… - arXiv preprint arXiv …, 2023 - arxiv.org
Evaluating the performance of Grammatical Error Correction (GEC) systems is a challenging
task due to its subjectivity. Designing an evaluation metric that is as objective as possible is …

Gee! grammar error explanation with large language models

Y Song, K Krishna, R Bhatt, K Gimpel… - arXiv preprint arXiv …, 2023 - arxiv.org
Grammatical error correction tools are effective at correcting grammatical errors in users'
input sentences but do not provide users with\textit {natural language} explanations about …

Controlled generation with prompt insertion for natural language explanations in grammatical error correction

M Kaneko, N Okazaki - arXiv preprint arXiv:2309.11439, 2023 - arxiv.org
In Grammatical Error Correction (GEC), it is crucial to ensure the user's comprehension of a
reason for correction. Existing studies present tokens, examples, and hints as to the basis for …

Enhancing grammatical error correction systems with explanations

Y Fei, L Cui, S Yang, W Lam, Z Lan, S Shi - arXiv preprint arXiv …, 2023 - arxiv.org
Grammatical error correction systems improve written communication by detecting and
correcting language mistakes. To help language learners better understand why the GEC …

Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends

Y Lan, X Li, H Du, X Lu, M Gao, W Qian… - arXiv preprint arXiv …, 2024 - arxiv.org
Natural Language Processing (NLP) aims to analyze the text via techniques in the computer
science field. It serves the applications in healthcare, commerce, and education domains …

Solving nlp problems through human-system collaboration: A discussion-based approach

M Kaneko, G Neubig, N Okazaki - arXiv preprint arXiv:2305.11789, 2023 - arxiv.org
Humans work together to solve common problems by having discussions, explaining, and
agreeing or disagreeing with each other. Similarly, if a system can have discussions with …