Question Generation System for Marathi Text

Authors

  • Deepali K. Gaikwad  Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India
  • C. Namrata Mahender  Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India

Keywords:

POS Tagging, Named Entity Recognition, Stemming, Rule Based Approach.

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.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-30

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Deepali K. Gaikwad, C. Namrata Mahender, " Question Generation System for Marathi Text, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.246-249, March-April-2018.