Fine-tune mBart 50 for Bengali Sentence Error Correction
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Updated
May 9, 2024 - Jupyter Notebook
Fine-tune mBart 50 for Bengali Sentence Error Correction
Fine tuned llama 3 models for context based question answering in bengali language.
Harnessing large language models over transformer models for detecting Bengali depressive social media text: A comprehensive study
Machine Learning approach to Bengali Corpus POS Tagging using BNLTK. This is an experimenting project under the mentorship of Prof. Sandipan Ganguly, HIT-K.
Machine Learning approach to Bengali corpus NER- Named Entity Recognition using BNLP. A mini project under the mentorship of Prof. Sandipan Ganguly, HIT-K
Tool to generate lists of Bengali words and transcriptions matching given phonological descriptions
Automatic Subtitle Generation for Bengali Multimedia Using Deep Learning.
We're on a journey to enhance AI and machine learning for the Bengali language, and we're looking for like-minded individuals to join us.
This is the project page of the dataset for the binary and multi-label classification of irony in Bengali Tweets.
Bengali Geonames python library
This repository consists of Bengali Text-Visualization using Word2Vec Model. A mini project under the mentorship of Prof. Sandipan Ganguly, HIT-K.
Bengali News Summarization - BengaliGPT & T5
This research is based on Optical Character Recognition (OCR). In this study, a system will be designed to recognise Bengali numerals. The numerals are handwritten, and the numerical dataset will be collected from a cloud-based repository. Data will be preprocessed first and then randomly split into training and testing data. Here a Convolutiona…
Bengali Misogyny Identification with Deep Learning and LIME.
Repository to track the state of the art research progress in Bengali natural language processing for most common task
Machine Learning approach to Bengali Corpus POS (Parts of Speech) Tagging using BNLP (Bengali Natural Language Processing) Toolkit. This is the Minor Project Presentation at Heritage Institute of Technology under the mentorship of Prof. Sandipan Ganguly.
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