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LTC 2013: Human Language Technology. Challenges for Computer Science and Linguistics pp 115–125Cite as

System for Generating Questions Automatically from Given Punjabi Text

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9561))

Abstract

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.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Punjabi University, Patiala, India

    Vishal Goyal, Shikha Garg & Umrinderpal Singh

Authors
  1. Vishal Goyal
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  2. Shikha Garg
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  3. Umrinderpal Singh
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Corresponding author

Correspondence to Vishal Goyal .

Editor information

Editors and Affiliations

  1. Adam Mickiewicz University , Poznań, Poland

    Zygmunt Vetulani

  2. Deutsches Forschungszentrum f. Künstl.Intelligenz (DFKI GmbH), Saarbrücken, Saarland, Germany

    Hans Uszkoreit

  3. Adam Mickiewicz University , Poznań, Poland

    Marek Kubis

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© 2016 Springer International Publishing Switzerland

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Goyal, V., Garg, S., Singh, U. (2016). System for Generating Questions Automatically from Given Punjabi Text. In: Vetulani, Z., Uszkoreit, H., Kubis, M. (eds) Human Language Technology. Challenges for Computer Science and Linguistics. LTC 2013. Lecture Notes in Computer Science(), vol 9561. Springer, Cham. https://doi.org/10.1007/978-3-319-43808-5_9

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  • DOI: https://doi.org/10.1007/978-3-319-43808-5_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43807-8

  • Online ISBN: 978-3-319-43808-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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