International Journal of Advanced Innovative Technology in Engineering (IJAITE)

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Advanced Text Summarizer for Code-Mixed Language

Aditya Tajne, Vrushabh Markande, Vaibhav Gadge, Akash Bhagat, Mrs. Mayuri Kumbhare

Abstract :

Automatic text summarization is that the method of shortening a text document with software that makes a summary with the most points of the primary document. Technologies that will make a coherent summary take into consideration variables like length, literary genre, and syntax. Code-mixing is that the mixing of two or more languages or language varieties in speech. The goal of text summarization is to present the foremost important information during a shorter version of the first text while keeping its main content and helps the user to quickly understand large volumes of data. Text summarization addresses both the matter of choosing the foremost important sections of text and, therefore, generating coherent summaries. This interaction is altogether not quite the same as that of human-based content outline since people can catch and relate profound implications and subjects of text records while computerization of such expertise is extremely difficult to implement. Since Luhns work, automatic text summarization researchers try to unravel or a minimum of relieving that problem by proposing techniques for generating summaries. The summaries function as a fast guide to interesting information, providing a brief form for every document within the document set; Reading summary chooses reading the entire document or not, it also is a time saver. variety of researchers have proposed techniques for automatic text summarization which may be classified into two categories: extraction and abstraction.

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