
Automatic Pre Processing of Marathi Text for Summarization
Author(s) -
Apurva D. Dhawale,
Sonali B. Kulkarni,
Vaishali M. Kumbhakarna
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a1803.1010120
Subject(s) - automatic summarization , computer science , newspaper , marathi , sorting , preprocessor , natural language processing , artificial intelligence , information retrieval , world wide web , linguistics , sociology , media studies , programming language , philosophy
The text summarization is a technique where the original large text is condensed into smaller version without changing its abstract meaning. The text summarization is done on the common foreign and regional languages typically, but infrequent work has been observed for the Marathi language. As the amount of e-contents on web is increasing drastically, the users are facing difficulty to read the newspaper articles with extraction of its different perspectives with sorting. We are focussing on educational, Political and sports news for summarization, which will be helpful for students who are appearing for competitive exams. This paper explores the preprocessing techniques for Marathi e-news articles.