Info: Zenodo’s user support line is staffed on regular business days between Dec 23 and Jan 5. Response times may be slightly longer than normal.

Published October 30, 2020 | Version v1
Journal article Open

Automatic Pre-Processing of Marathi Text for Summarization

  • 1. Department of Computer Science, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India.
  • 2. Completed her Master of Science, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India
  • 3. Completed Master of Science, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India
  • 1. Publisher

Description

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 pre processing techniques for Marathi e-news articles.

Files

A18031010120.pdf

Files (981.9 kB)

Name Size Download all
md5:f240267a3339d1fdf9e00b84bf11e689
981.9 kB Preview Download

Additional details

Related works

Is cited by
Journal article: 2249-8958 (ISSN)

Subjects

ISSN
2249-8958
Retrieval Number
100.1/ijeat.A18031010120