Abstract

In this new era, where tremendous information is available on the Internet, it is most important to provide an improved mechanism to extract the information quickly and most efficiently. It is very difficult for human beings to manually extract the summary of a large document of text. There is plenty of text material available on the Internet. So there is a problem of searching for relevant documents from the number of documents available, and absorbing relevant information from it. In order to solve the above two problems, the automatic text summarization is very much necessary. Text summarization is the process of identifying the most important meaningful information in a document or set of related documents and compressing them into a shorter version preserving its overall meanings. The integration of translation functionality with the text summarization technique will add on to the utility of the system