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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.
This module helps to analyze Bengali sentences. It can analyze various entities. Can do non contextual PoS tagging. Is capable of returning the lemmas present in a sentence.
This is the official repository containing all codes used to generate the results reported in the paper titled "An Empirical Study of Gendered Stereotypes in Emotional Attributes for Bangla in Multilingual Large Language Models" accepted at the 5th Workshop on Gender Bias in Natural Language Processing (hosted at the ACL 2024 Conference)
Machine Learning approach to Bengali corpus NER- Named Entity Recognition using BNLP. A mini project under the mentorship of Prof. Sandipan Ganguly, HIT-K
This is my academic thesis work (individual). Submitted in partial fulfilment of the requirements for Degree of Bachelor of Science in Computer Science & Engineering
Trained and evaluated traditional ML models, fine-tuned Dolphin 2.9.4 based on the Llama 3.1 (8B) model, and processed Bangla text to classify sentiments. (bnlp, nltk, bnlp_toolkit, banglanltk, huggingface_hub, transformers, torch)
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