Conversation model between human and machine using machine learning
by Manasi A. Khanaj
International Journal of Intelligent Machines and Robotics (IJIMR), Vol. 1, No. 2, 2018

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.

Online publication date: Wed, 26-Sep-2018

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Intelligent Machines and Robotics (IJIMR):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com