4 papers
When Words Don't Mean What They Say: Figurative Understanding in Bengali Idioms
Adib Sakhawat, Shamim Ara Parveen, Md Ruhul Amin +3
Figurative language understanding remains a significant challenge for Large Language Models (LLMs), especially for low-resource languages. To address this, we introduce a new idiom…
BanglaIPA: Towards Robust Text-to-IPA Transcription with Contextual Rewriting in Bengali
Jakir Hasan, Shrestha Datta, Md Saiful Islam +2
Despite its widespread use, Bengali lacks a robust automated International Phonetic Alphabet (IPA) transcription system that effectively supports both standard language and regiona…
From Scarcity to Capability: Empowering Fake News Detection in Low-Resource Languages with LLMs
Hrithik Majumdar Shibu, Shrestha Datta, Md. Sumon Miah +3
The rapid spread of fake news presents a significant global challenge, particularly in low-resource languages like Bangla, which lack adequate datasets and detection tools. Althoug…
A Comprehensive Survey on Visual Question Answering Datasets and Algorithms
Raihan Kabir, Naznin Haque, Md Saiful Islam +1
Visual question answering (VQA) refers to the problem where, given an image and a natural language question about the image, a correct natural language answer has to be generated.…