System for Generating Questions Automatically from Given Punjabi Text

  • Vishal GoyalEmail author
  • Shikha Garg
  • Umrinderpal Singh
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9561)


This paper introduces a system for generating questions automatically for Punjabi. The System transforms a declarative sentence into its interrogative counterpart. It accepts sentences as an input and produces possible set of questions for the given input. Not much work has been done in the field of Question Generation for Indian Languages. The current paper represents the Question Generation System for Punjabi language to generate questions for the given input in Gurmukhi script. For Punjabi, adequate annotated corpora, POS taggers and other NLP tools are not yet available in the required measure. Thus, this system relies on the Named Entity Recognition tool. Also, various Punjabi Language dependent rules have been developed to generate output based on the named entity found in the given input sentence.


Natural Language Processing (NLP) Named Entity Recognition (NER) Question Generation (QG) 


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of Computer SciencePunjabi UniversityPatialaIndia

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