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

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dc.contributor.authorKaysar, Md Nadim
dc.contributor.authorKhaleque, Taskin
dc.contributor.authorBiswas, Ripon
dc.contributor.authorMazumder, Mahjabin Namira
dc.contributor.authorHossain, Elias
dc.date.accessioned2025-11-17T03:54:14Z
dc.date.available2025-11-17T03:54:14Z
dc.date.issued2024-07-27
dc.descriptionConference paper
dc.description.abstractThis 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.
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/15701
dc.identifier.urihttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/15701
dc.language.isoen_US
dc.publisherScopus
dc.sourceDIU Institutional Repository
dc.subjectSequence-to-sequence
dc.subjectneural network
dc.subjectGPT-3
dc.subjectEnglish-to-Bangla translation
dc.titleEnglish-to-Bangla Language Translation: A Comparative Study of GPT-3 and Attention-Based Encoder Decoder
dc.typeOther

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