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English-to-Bangla Language Translation: A Comparative Study of GPT-3 and Attention-Based Encoder Decoder

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dc.contributor.author Kaysar, Md Nadim
dc.contributor.author Khaleque, Taskin
dc.contributor.author Biswas, Ripon
dc.contributor.author Mazumder, Mahjabin Namira
dc.contributor.author Hossain, Elias
dc.date.accessioned 2025-11-17T03:54:14Z
dc.date.available 2025-11-17T03:54:14Z
dc.date.issued 2024-07-27
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/15701
dc.description Conference paper en_US
dc.description.abstract This study is designed as a sequence-to-sequence neural network and GPT-3 for English-to-Bangla machine translation. Here, we have analyzed the results in different ways in this study: The first one is embedding-based analysis with Pearson and Spearman correlation and a maximum of 77% similarity between actual and expected sentences has been achieved, the second one is BLEU score, and the third is the human analysis and a comparatively acceptable score has been obtained. We also obtained a 0.85 BLEU score in this study, and we found 93% accuracy of the generated translation output by using the human-based subjective score. en_US
dc.language.iso en_US en_US
dc.publisher Scopus en_US
dc.subject Sequence-to-sequence en_US
dc.subject neural network en_US
dc.subject GPT-3 en_US
dc.subject English-to-Bangla translation en_US
dc.title English-to-Bangla Language Translation: A Comparative Study of GPT-3 and Attention-Based Encoder Decoder en_US
dc.type Other en_US


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