Rule Based Text Summarization for Marathi Text

Deepali Kailash Gaikwad

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 regional languages. But, not much work has been done for Marathi language. The present research paper, represent Marathi text summarization with rule based approach using question generation system.  The rule based approach of abstractive text summarization is used for generate question on Marathi text for this Rule based 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  noun priority  and answer  of  the  higher ranked and noun priority  group together  is  summary  of  given input.


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