BERT-Based Arabic Diacritization: A state-of-the-art approach for improving text accuracy and pronunciation-Reference-Cited by-同舟云学术

BERT-Based Arabic Diacritization: A state-of-the-art approach for improving text accuracy and pronunciation

Published:2024-08 Issue: Volume:248 Page:123416
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Kharsa Ruba^ORCID,Elnagar Ashraf^ORCID,Yagi Sane^ORCID

Publisher

Elsevier BV

Reference48 articles.

1. Automatic diacritization of Arabic text using recurrent neural networks;Abandah;International Journal on Document Analysis and Recognition (IJDAR),2015

2. Transfer learning and multi-phase training for accurate diacritization of Arabic poetry;Abandah;Journal of King Saud University - Computer and Information Sciences,2022

3. Multi-components system for automatic arabic diacritization;Abbad,2020

4. Simple extensible deep learning model for automatic Arabic diacritization;Abbad;Transactions on Asian and Low-Resource Language Information Processing,2021

5. Al Sallab, A., Rashwan, M., Raafat, H., & Rafea, A. (2014). Automatic Arabic diacritics restoration based on deep nets. In Proceedings of the EMNLP 2014 workshop on arabic natural language processing (pp. 65–72).

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing the Experience and Accessibility of Users with Disability by Integrating Voice Navigation into a Telemedicine Website;International Journal of Mathematical, Engineering and Management Sciences;2024-08-01

2. Persian Ezafe Recognition Using Neural Approaches;Journal of Information Systems and Telecommunication (JIST);2024-03-18