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).

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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 : http://ijsrcseit.com/CSEIT1831179

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