Title: Conversation model between human and machine using machine learning

Authors: Manasi A. Khanaj

Addresses: DKTE Society's Textile and Engineering Institute, Ichalkaranji-416115, India

Abstract: Human and machine can interact with each other, in which chatbot plays an important role. The machine can identify the sentences of human and can able to make a decision by its own to respond to question asked by person. The response approach can be used as matching the sentence spoken by user. From sentence that is given as input, machine will be able to get the sentences that are similar enough, and higher matched points gained the more reference to similar sentences. The bigram technology can be used for sentence resemblance calculation. The chatbot trained data are saved in the database. The core and interface are major contents of chatbot and can be accessible in database. The database is used to store knowledge storage of machine and interpreter employs stored programs of procedures and functions and used for pattern-matching through trained dataset.

Keywords: chatbot; sentence; pattern-matching; trained dataset; query processing; keyword matching; pattern-matching; conversation model; speech synthesis; keyword match.

DOI: 10.1504/IJIMR.2018.10016322

International Journal of Intelligent Machines and Robotics, 2018 Vol.1 No.2, pp.171 - 179

Received: 23 May 2018
Accepted: 28 Jul 2018

Published online: 26 Sep 2018 *

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