Design of Error Correction System Based on Deep Learning Algorithm

You Chen

2025

Abstract

The design of error correction system plays an important role in intelligent English grammar, but there is the problem of inaccurate error correction and positioning. The traditional neural network algorithm cannot solve the error correction system design problem in intelligent English grammar, and the effect is not satisfactory. Therefore, this paper proposes the design of English grammar error correction system based on deep learning algorithm and analyzes the design of English grammar error correction system. The purpose of this paper is to explore the common problems in English grammar learning, analyze the root causes of these problems, and put forward corresponding solutions. Through this study, we hope to provide English learners with a clearer and more systematic approach to grammar learning.

Paper Citation

in Harvard Style

Chen Y. (2025). Design of Error Correction System Based on Deep Learning Algorithm. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 346-351. DOI: 10.5220/0013543400004664

in Bibtex Style

@conference{incoft25,
author={You Chen},
title={Design of Error Correction System Based on Deep Learning Algorithm},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={346-351},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013543400004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Design of Error Correction System Based on Deep Learning Algorithm
SN - 978-989-758-763-4
AU - Chen Y.
PY - 2025
SP - 346
EP - 351
DO - 10.5220/0013543400004664
PB - SciTePress