Automatic Text Summarization for Telugu Language

Telugu is a common south Indian language communicated by more than 74 million people in India. Today with the advent of the Internet huge volume of text in the form of news articles, editorials, blogs etc. are available for access to the users. Summarization of these contents becomes an essential requirement to enable faster and efficient search of such documents. Manual text summarization consumes a plenty of time, effort, and money, and it's even impractical when there's a lot of text. Since the 1950s, researchers are working to develop various ATS techniques. There are three types of ATS approaches: extractive summarization, abstractive summarization and hybrid. The extractive method picks out the most important sentences from the input documents and combined them to produce the summary. The abstractive method translates the input documents into an intermediate representation before generating a description of sentences that differ from the originals. The extractive and abstractive methods are combined in the hybrid approach. A review and study of text summarization techniques developed for Telugu language documents are presented in this paper.