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mbert

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This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" accpeted in Findings of the Annual Conference of the North American Chap…

  • Updated Jan 24, 2023
  • Python

This study introduces MultiBanFakeDetect, a novel multimodal dataset for Bangla fake news detection, combining textual and visual information. It features TextFakeNet for text analysis and MultiFusionFake for integrating multimodal data.

  • Updated Aug 8, 2024
  • Jupyter Notebook

This study addresses the gap in translating Bangla regional dialects into standard Bangla by creating a large-scale multilingual benchmark dataset of 32,500 sentences in Bangla, Banglish, and English, representing five regional Bangla dialects such as Sylheti, Chittagong, Mymensingh, Noakhali, and Barishal.

  • Updated Oct 22, 2024
  • Jupyter Notebook

This study presents a novel multimodal fusion technique for disaster identification in Bangla, combining text and image data using the "BanglaCalamityMMD" dataset. Employing DisasterTextNet, DisasterImageNet, and DisasterMultFusionNet, the approach addresses a key gap in Bangla disaster research.

  • Updated Aug 14, 2024
  • Jupyter Notebook

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