MARGEN: Marathi Question Answering Generative Conversation Model

Abstract

The conversational system aka chatbot market capture was worth USD 526 million in 2021 around the world. The innovations created such as Machine learning, Deep learning, Natural Language Processing (NLP), and Big data analytics have given a modern speed-quickening fuel to Artificial Intelligence. Well, a generative chatbot could be an exceptionally effective and shrewd conversational system as distant as its learning component is concerned. They can be trained from scratch like a newborn child by using Deep Learning techniques. GPT-1,2,3 is well known for English Language NLP tasks whereas IndicBART is also moving ahead for 11 Indian Languages for the NLU tasks. With the DL techniques like RNN, LSTM, and SGD, we conducted an in-depth survey of recent deep learning conversational models available on open-source portals, examining over 25 deep learning models for conversational systems before proposing our model. "MARGEN" is a proposed model which means the user can get the system's reply with proper generative answers for the query in Marathi text and/or audio speech formats.