Design and Implementation of an Assamese Language Chatbot Using Neural Networks

Surajit Sarma¹ , Nabankur Pathak²

1. Dept. of Computer Science, Krishna Kanta Handiqui State Open University, Guwahati, India.
2. Dept. of Computer Science, Krishna Kanta Handiqui State Open University, Guwahati, India.

Section:Research Paper, Product Type: Journal-Paper
Vol.11 , Issue.6 , pp.13-18, Dec-2023

Online published on Dec 31, 2023

Copyright © Surajit Sarma, Nabankur Pathak . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
This research paper proposes a design for an AI chatbot that can understand Assamese language using a feedforward neural network. We have developed an Assamese language dataset and trained the model on it. We have used the bag of words method for feature extraction of the text. We have evaluated the accuracy and performance of the model using metrics like precision, recall and F1 score. The model has achieved an accuracy of 89.11%, which is higher than SVM and Naive Bayes models. We have also presented the future plan of this research. The novelty of this research is that we have developed a deep learning FFNN model for an AI Assamese chatbot along with an Assamese dataset, which has not been done before. The significance of this research is that it will help to explore the AI Assamese chatbot domain and inspire new ideas for researchers, as well as help the Assamese society to use their language in digital platforms.

Key-Words / Index Term :
Artificial Intelligent; Assamese Corpus; Chatbot; Deep Learning; Natural Language Processing; Feed Forward Neural Network

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