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Question Generation System for Marathi Text

Author

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  • Deepali K. Gaikwad
  • C. Namrata Mahender

Abstract

Text summarization is process of selecting important information of source document or data and produce short summary. Manually summarize large document is very difficult. Summarization has been done in various Indian as well as non- Indian languages. But, not much work has been done for Marathi language. The present research paper, represent question generation system for Marathi text with rule based approach. The rule based approach of abstractive text summarization is used for generate question on Marathi text for this POS tagger, Named Entity Recognition and Rule based stemmer techniques are applied for generate the question. After generating questions, question are classify and then questions are rank the according to frequency or priority and answer of the ranked question is summary of given input.

Suggested Citation

  • Deepali K. Gaikwad & C. Namrata Mahender, 2018. "Question Generation System for Marathi Text," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(3), pages 246-249, April.
    • Handle: RePEc:jbh:ijsrcs:v3:y2018:i3:id:hcseit183370
    Note: Article URL: https://ijsrcseit.com/CSEIT183370
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