Kannada Text Summarization using Extractive Technique

Abstract

Surplus information on any topic is available in various resources including the World Wide Web, news articles, books, e-books, and blogs. A knowledge seeker might have to spend days together on assimilating the required content from the web. Moreover, most of the content available in multiple resources is repetitive. However, there is also the time constraint which plays a major part during assimilation of the content. Kannada is a regional language spoken in the southern part of India. It has various dialects based on geographic location. The amount of time involved in reading and understanding the Kannada text is user based and involves the language experience of the users. For most of them it is highly challenging and also time consuming. Instead a tool to automatically read the Kannada text content from various sources and summarize it is the need of the day. The proposed model aims to assist the readers by summarizing a given Kannada document. Automatic Kannada text summarization enables users to assimilate to required information from e resources in the shortest possible time. The project aims to build a natural language processing tool to automatically read Kannada text from any e-resource and summarize the same.