Automated essay scoring for Bangla
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.
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10361-227762024-05-08T21:00:35Z Automated essay scoring for Bangla Mahjabin, Rubayet Farzana, Shaoli Zerin, Nishat Chowdhury, Sameer Sadman Hossain, Ishmam Sadeque, Farig Yousuf Department of Computer Science and Engineering, Brac University Natural language processing Scoring system Grading papers Natural language processing (Computer science) This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024. Cataloged from PDF version of thesis. Includes bibliographical references (pages 38-39). Grading papers is one of the most basic everyday tasks carried out in various manners, but the element of complexity always manages to find its way. It is a rigorous task to grade hundreds of papers. Still, the concept of automation has made the job easier as the process decreases the risk of error in checking the papers while simplifying the lives of the teachers. Now, in the case of the English language, this simpleness has already been achieved. However, reaching an equivalent level of sophistication in the context of grading papers in Bangla is still an ongoing process. A team from BUET has researched this very topic in Bangla, but the tools required for grading a paper in Bangla are still far from reaching a distinctive platform. In our research, we have collected datasets containing versatile content to build a competent database and have analyzed the requirements teachers used to grade a paper using natural language processing (NLP) tools. After listing the criteria, we fine-tuned a model using deep learning, in accordance with the criteria to grade a paper written in Bangla with enough accuracy to be considered as relevant as having the same paper graded manually by a professor or a faculty. Our goal is to use transformer models, and embedding along with NLP techniques to grade the essays more precisely, to achieve an industry-standard state-of-the-art system for the Bangla Essay Scoring System. Rubayet Mahjabin Shaoli Farzana Nishat Zerin Sameer Sadman Chowdhury Ishmam Hossain B.Sc. in Computer Science 2024-05-08T05:57:00Z 2024-05-08T05:57:00Z ©2024 2024-01 Thesis ID: 20101011 ID: 20101553 ID: 23341114 ID: 23341118 ID: 20101145 http://hdl.handle.net/10361/22776 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. 39 pages application/pdf Brac University |
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Brac University |
collection |
Institutional Repository |
language |
English |
topic |
Natural language processing Scoring system Grading papers Natural language processing (Computer science) |
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Natural language processing Scoring system Grading papers Natural language processing (Computer science) Mahjabin, Rubayet Farzana, Shaoli Zerin, Nishat Chowdhury, Sameer Sadman Hossain, Ishmam Automated essay scoring for Bangla |
description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024. |
author2 |
Sadeque, Farig Yousuf |
author_facet |
Sadeque, Farig Yousuf Mahjabin, Rubayet Farzana, Shaoli Zerin, Nishat Chowdhury, Sameer Sadman Hossain, Ishmam |
format |
Thesis |
author |
Mahjabin, Rubayet Farzana, Shaoli Zerin, Nishat Chowdhury, Sameer Sadman Hossain, Ishmam |
author_sort |
Mahjabin, Rubayet |
title |
Automated essay scoring for Bangla |
title_short |
Automated essay scoring for Bangla |
title_full |
Automated essay scoring for Bangla |
title_fullStr |
Automated essay scoring for Bangla |
title_full_unstemmed |
Automated essay scoring for Bangla |
title_sort |
automated essay scoring for bangla |
publisher |
Brac University |
publishDate |
2024 |
url |
http://hdl.handle.net/10361/22776 |
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