Improving readability for automatic speech recognition transcription

J Liao, S Eskimez, L Lu, Y Shi, M Gong… - ACM Transactions on …, 2023 - dl.acm.org
Modern Automatic Speech Recognition (ASR) systems can achieve high performance in
terms of recognition accuracy. However, a perfectly accurate transcript still can be …

[HTML][HTML] Automatic Arabic Grammatical Error Correction based on Expectation-Maximization routing and target-bidirectional agreement

A Solyman, Z Wang, Q Tao, AAM Elhag… - Knowledge-Based …, 2022 - Elsevier
Abstract Automatic Grammar Error Correction (GEC) detects and corrects various types of
syntax, spelling, and grammatical errors. Different approaches such as rule-based …

Automatic correction of indonesian grammatical errors based on transformer

A Musyafa, Y Gao, A Solyman, C Wu, S Khan - Applied Sciences, 2022 - mdpi.com
Grammatical error correction (GEC) is one of the major tasks in natural language processing
(NLP) which has recently attracted great attention from researchers. The performance of …

Dynamic decoding and dual synthetic data for automatic correction of grammar in low-resource scenario

A Musyafa, Y Gao, A Solyman, S Khan, W Cai… - PeerJ Computer …, 2024 - peerj.com
Grammar error correction systems are pivotal in the field of natural language processing
(NLP), with a primary focus on identifying and correcting the grammatical integrity of written …

On the correction of errors in English grammar by deep learning

Y Zhong, X Yue - Journal of Intelligent Systems, 2022 - degruyter.com
Using computer programs to correct English grammar can improve the efficiency of English
grammar correction, improve the effect of error correction, and reduce the workload of …

A study on automatic correction of English grammar errors based on deep learning

M Qin - Journal of Intelligent Systems, 2022 - degruyter.com
Grammatical error correction (GEC) is an important element in language learning. In this
article, based on deep learning, the application of the Transformer model in GEC was briefly …

Corpus and unsupervised benchmark: Towards Tagalog grammatical error correction

N Lin, H Zhang, M Shen, Y Wang, S Jiang… - Computer Speech & …, 2025 - Elsevier
Grammatical error correction (GEC) is a challenging task for natural language processing
techniques. Many efforts to address GEC have been made for high-resource languages …

A BERT-based Unsupervised Grammatical Error Correction Framework

N Lin, H Zhang, M Shen, Y Wang, S Jiang… - arXiv preprint arXiv …, 2023 - arxiv.org
Grammatical error correction (GEC) is a challenging task of natural language processing
techniques. While more attempts are being made in this approach for universal languages …

Critical analysis of existing punjabi grammar checker and a proposed hybrid framework involving machine learning and rule-base criteria

V Verma, SK Sharma - Transactions on Asian and Low-Resource …, 2022 - dl.acm.org
An important area of research involving Artificial Intelligence (AI) is Natural Language
Processing (NLP). The objective of training a machine is to imitate and manipulate text and …

Research on grammatical error correction algorithm in English translation via deep learning

L Cai - Journal of Intelligent Systems, 2024 - degruyter.com
This study provides a concise overview of a grammatical error correction algorithm that is
based on an encoder-decoder machine translation structure. Additionally, it incorporates the …