Papers by Abdul Aziz

2 papers
Abstractive Summarization of Bengali Academic Videos Based on Audio Subtitles (2026.findings-eacl)

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Challenge: Existing methods for summarizing educational videos in Bengali are limited due to the rapid growth of educational video content.
Approach: They propose an end-to-end pipeline for the abstractive summarization of Bengali videos . they fine-tuned the BanglaT5 model on a new benchmark dataset .
Outcome: The proposed system preprocesses audio and converts speech to text using Google's Speech Recognition API.
BengaliLCP: A Dataset for Lexical Complexity Prediction in the Bengali Texts (2024.lrec-main)

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Challenge: Lexical Complexity Prediction (LCP) is a task for predicting the complexity score of a word or phrase based on its context.
Approach: They propose a deep neural approach to predict lexical complexity of Bengali tokens using an annotated dataset.
Outcome: The proposed neural approach outperforms state-of-the-art models for Bengali language.

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