Question Generation System for Marathi Text

Authors(2) :-Deepali K. Gaikwad, C. Namrata Mahender

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.

Authors and Affiliations

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

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

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Publication Details

Published in : Volume 3 | Issue 3 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 246-249
Manuscript Number : CSEIT183370
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Deepali K. Gaikwad, C. Namrata Mahender, "Question Generation System for Marathi Text", International 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.
Journal URL : http://ijsrcseit.com/CSEIT183370

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