Building Conversational AI for Assamese Religious Text using Deep Learning

Authors

  • Surajit Sarma Department of Computer Science, Krishna Kanta Handiqui State open University, Guwahati, Assam, India
  • Nabankur Pathak Department of Computer Science, Krishna Kanta Handiqui State open University, Guwahati, Assam, India
  • Neeva Rani Phukan Department of Assamese, Krishna Kanta Handiqui State open University, Guwahati, Assam, India
  • Risheraj Baruah Department of Computer Science, Gauhati University, Guwahati, Assam, India
  • Sonali Deka Department of Assamese, Krishna Kanta Handiqui State open University, Guwahati, Assam, India
  • Maya Devi Subba Department of Assamese, Krishna Kanta Handiqui State open University, Guwahati, Assam, India
  • Pinkumoni Deori Department of Assamese, Krishna Kanta Handiqui State open University, Guwahati, Assam, India
  • Diganto Sahu Faculty of Engineering, Assam down town University, Guwahati, Assam, India

DOI:

https://doi.org/10.61707/n95fvk06

Keywords:

Deep Learning, Conversational Agent, RNN, GRU, BiLSTM

Abstract

This paper focuses on the use of Deep Learning techniques to build an AI Conversational Agent for Assamese religious texts. Assamese is spoken by the people of Assam which is a state of North East India. It is a language that has unique semantic and syntactic features. In order to handle the religious text in Assamese language specialized Natural Language Processing (NLP) task is required. In this paper we have presented the Deep Learning approach using bi-LSTM model to handle Assamese religious text and the specialized NLP functions that were developed to process the Assamese text. This study also involved the construction of dataset for Assamese language religious text which has been presented in this paper. We have also presented the performance and accuracy testing result of the proposed model and compared it with other Deep Learning model using matrices such as precision, recall, and F1-score. Our proposed model has achieved a significant improvement, reaching an impressive accuracy of 89.99%. 

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Published

2024-08-21

Issue

Section

Articles

How to Cite

Building Conversational AI for Assamese Religious Text using Deep Learning. (2024). International Journal of Religion, 5(11), 7163 – 7171. https://doi.org/10.61707/n95fvk06

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