Automatic Question Generation from Language Independent System

Authors(1) :-Meenakshi Sharma

Natural Language processing is a basic component of Artificial Intelligence. NLP means to train the computer/ system as it behaves like a human being. Question production is an application of the NLP (Natural Language Processing). In automatic question generation, the system generates multiple choice questions automatically from Punjabi text, English text and Hindi text, using question generation algorithms. The text will be in the form of paragraph. As we know that Indian Languages basically English, Punjabi and Hindi have their own grammar rules. So Question generation system use different approaches according to the rules of grammar to generate the questions from given text. Generation of multiple choice questions is imperative because it helps anyone to test their knowledge in specific field. One can give the answer easily by choosing one option from a given set of options provided by the system and then system evaluate the given answer and generate the score for all the answers given. This paper presents about the language Independent system having integration of Punjabi, English and Hindi languages. Hybrid Approach is used that is a combination Dictionary look up. Rule based approach, pattern matching and information extraction, Knowledge Based approach, Example based and SMT approach.

Authors and Affiliations

Meenakshi Sharma
Student OPJS University, Churu, Rajasthan, India

NLP (Natural Language Processing), Rule Based Approach, Question Generation (QG), Information Extraction (IE), SMT (Statistical Machine Translation).

  1. Shikha Garg, Vishal  Goyal  " System for Generating Question Automatically from given Punjabi Text", International Journal of Computer Science and Mobile Computing, pp.324-327 ,2013
  2. Poonam Gupta ,Vishal Gupta  " Algorithm for Punjabi Question Answering System", International Journal of Advanced Research in Computer Science and Software Engineering, vol. 3, no.7, Pp.902-909 July 2013
  3. Vishal Gupta  " A Proposed Online Approach of English and Punjabi Question Answering", International journal of Engineering Trends and Technology(IJETT)-vol. 6, no. 5, pp 292-295,dec 2013 
  4. Wei CHEN, Gregory AIST, and jack MOSTOW "Generating Question Automatically from information Text", International Journal of Artificial Intelligence in Education,vol.21,no.4, pp 255-269,oct2013
  5. Husam Ali  Yllias Chali  Sadid A. Hasan  " Automatic Question Generation From Sentences" , TALN 2010, Montreal,19-23 juillet 2010
  6. Poonam Gupta.,Vishal Gupta "A Survey of Text Question Answering Techniques" International Journal of Computer Application(0975-8887)Volume 53-No.4,September 2012
  7. Vishal Gupta"A Survey of Text Mining Techniques and Applications" J.Emerging Technologies in Web Excellence Vol.1,No.1,August 2009
  8. Xuchen Yao,G., "Semantic-based Question Generation and Implementation"Dialogue and Discourse3(2) (2012) 11-42,doi:0.5087/dad.2012.202
  9. Kamaldeep Kaur,V., "Name Entity Recognition for Punjabi Language" International Journal of Computer Science and Information Technology & Security(IJCSITS),ISSN:2249-9555 Vol.2,No.3,June 2012
  10. Poonam Gupta and Vishal Gupta "Hybrid Approach for Punjabi Question Answering System" springer international publishing Switzerland ,pp 133-149,2014
  11. Nisha Sharma"Automatic Question generation from Punjabi text"IJCEA , ISSN : 2229-3345 Vol. 6 No. 07 Jul 2015
  12. Meenakshi Sharma " A review paper on SMS text to plain English translation" International Journal of Computer Science & Engineering Technology (IJCSET), ISSN : 2229-3345 Vol. 5 No. 07 Jul 2014
  13. Deana L. Pennell and Yang Liu, Normalization Of Text Messages For Text-To-Speech , 978-1-4244-4296-6/10/$25.00 2010 IEEE

Publication Details

Published in : Volume 3 | Issue 1 | January-February 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 761-764
Manuscript Number : CSEIT1831179
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Meenakshi Sharma, "Automatic Question Generation from Language Independent System", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.761-764, January-February-2018.
Journal URL :

Article Preview