Text Summarization of Hindi Documents Using Rule Based Approach

Abstract

Automatic summarization plays an important role in document processing system and information retrieval system. Generation of summary of a text document is a very important part of NLP. There are a number of scenarios where automatic construction of such summaries is useful. Text summarization is that process which convert a larger text into its shorter form maintaining its information. Summary of a longer text saves the reading time as it contain lesser number of lines but all important information of the original text document. In this paper we present a novel approach for text summarization of Hindi text document based on some linguistic rules. Dead wood words and phrases are also removed from the original document to generate the lesser number of words from the original text. Proposed system is tested on various Hindi inputs and accuracy of the system in form of number of lines extracted from original text containing important information of the original text document.