Bangla grammar and spelling check using machine learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.
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Brac University
2023
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10361-192342023-08-01T21:02:15Z Bangla grammar and spelling check using machine learning Ahmed, Foysal Khan, Md Shahriar Arafin, MD Emon Al Abir, Abdullah Begum, Mumtahina Rasel, Annajiat Alim Karim, Dewan Ziaul Department of Computer Science and Engineering, Brac University Bangla language Machine learning Bangla grammar and spelling Checker Double metaphone Bangla corpus Neural network Machine Learning This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023. Cataloged from PDF version of thesis. Includes bibliographical references (pages 17-18). Bangla, or Bengali, is one of the world’s most spoken languages, with hundreds of millions of native speakers worldwide. Thousands of books are written in the Bangla language every year, and millions of people register in Bangla daily. But there are only a few researches conducted on Bangla Grammar and Spelling correction because of the lack of Bangla resources and the complexity of the Bangla language. This paper is concerned with implementing a Machine Learning based model to detect grammar and spelling errors in Bangla writing. There are many machine learning algorithms to see mistakes in writing. This research uses Levenshtein distance and Double Metaphone algorithms to detect spelling errors. For grammar, Recurrent Neural Network based sequential model is used with an accuracy of 89%. We have created a Bangla monolingual corpus containing three hundred thousand sentences for this paper. Therefore, we expect this research to make Bangla writing easier and more fascinating for everyone. Foysal Ahmed Md Shahriar Khan MD Emon Arafin Abdullah Al Abir Mumtahina Begum B. Computer Science and Engineering 2023-08-01T06:14:31Z 2023-08-01T06:14:31Z 2023 2023-01 Thesis ID: 19101535 ID: 22241119 ID: 22241120 ID: 22241118 ID: 19101306 http://hdl.handle.net/10361/19234 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 18 pages application/pdf Brac University |
institution |
Brac University |
collection |
Institutional Repository |
language |
English |
topic |
Bangla language Machine learning Bangla grammar and spelling Checker Double metaphone Bangla corpus Neural network Machine Learning |
spellingShingle |
Bangla language Machine learning Bangla grammar and spelling Checker Double metaphone Bangla corpus Neural network Machine Learning Ahmed, Foysal Khan, Md Shahriar Arafin, MD Emon Al Abir, Abdullah Begum, Mumtahina Bangla grammar and spelling check using machine learning |
description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023. |
author2 |
Rasel, Annajiat Alim |
author_facet |
Rasel, Annajiat Alim Ahmed, Foysal Khan, Md Shahriar Arafin, MD Emon Al Abir, Abdullah Begum, Mumtahina |
format |
Thesis |
author |
Ahmed, Foysal Khan, Md Shahriar Arafin, MD Emon Al Abir, Abdullah Begum, Mumtahina |
author_sort |
Ahmed, Foysal |
title |
Bangla grammar and spelling check using machine learning |
title_short |
Bangla grammar and spelling check using machine learning |
title_full |
Bangla grammar and spelling check using machine learning |
title_fullStr |
Bangla grammar and spelling check using machine learning |
title_full_unstemmed |
Bangla grammar and spelling check using machine learning |
title_sort |
bangla grammar and spelling check using machine learning |
publisher |
Brac University |
publishDate |
2023 |
url |
http://hdl.handle.net/10361/19234 |
work_keys_str_mv |
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