Sadeque, Farig YousufBillah, Syed Mohammed MostaqueSubarna, Ateya AhmedSarna, Sudipta NandiWasit, Ahmad ShawkatShawkat, Ahmad2024-06-262024-06-26©20232023-09ID 20101057ID 23341089ID 20101257ID 20101398ID 20101042http://hdl.handle.net/10361/23605Cataloged from PDF version of thesis.Includes bibliographical references (pages 38-39).This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.Around seven million individuals in India, Bangladesh, Bhutan, and Nepal speak Santali, positioning it as nearly the third most commonly used Austroasiatic language. Despite its prominence among the Austroasiatic language family’s Munda subfamily, Santali lacks global recognition. Currently, no translation models exist for the Santali language. This paper aims to remove Santali from the NPL spectrum. We aim to examine the feasibility of building Santali-English translation models based on available Santali corpora. This paper successfully addressed the low-resource problem and, with promising results, examined the possibility of using the Santali language. We think that our study will open the door for further exploration into Santali-English machine translation.45 pagesenBrac 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.Parallel corpusMachine translationNeural Machine TranslationLow resource languageAlignerComputer lingiusticsThesis