A TEXT SUMMARIZATION SYSTEM FOR MARATHI LANGUAGE
Text summarization is the most popular application and a challenging task in the natural language processing. It is important for searching the specific information within the short time span from the input document. It is presently in demand to have quick information access as a summary to make a conclusion about the document text. This summary always presented with limited word and specific information contents for the search item. Summarizer systems are capable of generating a short version of the overall text after the analysis of the text it always retain its original meaning and the actual theme in the summary text. There are many automated summarizer systems developed for various Indian languages but still these systems are not achieved the matured stage. This paper proposed a methodology for development of the automated text summarization technique for Marathi language. We have got 44.48% compression accuracy for the summary by our system.
Abstractive summarizer, Extractive summarizer, Linguistic analysis, Machine learning, Natural language generation, Natural language processing, Text summarization.