Automatic Question Generation System from Punjabi Text using Hybrid approach

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2015 by IJCTT Journal
Volume-21 Number-3
Year of Publication : 2015
Authors : Payal Garg, Er.Charandeep Singh Bedi
  10.14445/22312803/IJCTT-V21P125

MLA

Payal Garg, Er.Charandeep Singh Bedi"Automatic Question Generation System from Punjabi Text using Hybrid approach". International Journal of Computer Trends and Technology (IJCTT) V21(3):130-133, March 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
This paper represents a system for automatically question generation from Punjabi text. Asking questions is a fundamental cognitive process that underlies higher-level cognitive abilities such as comprehension and reasoning. Questions are used from the most elementary stage of learning to original research. Question Generation (QG) is the task of automatically generating questions from various inputs such as raw text, database, or semantic representation. In this system various Punjabi language dependent rules and examples have been developed to generate output based on the given input. Questions are generated by the proposed system on the basis of these rules and examples. System use corpus for Punjabi Named Entities and examples to generate the desired questions.

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Keywords
Automatic Question generation system, Rule Based approach, Example based approach, Hybrid approach.