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

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... n 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.