Advances in Text Summarization and Generation for Indian Languages: A Survey
Year: 2025
Type: article
Abstract: In the era of Big Data, Textual data is expanding quickly and is accessible in a wide variety of languages. This text collection is an invaluable source of information and understanding that must be effectively compiled. This is challenging to read all the text information in the world that moves quickly. Thus, the importance of text summary is being highlighted. A method called Automatic Text Summarizing (ATS) shrinks lengthy texts into shorter ones that nevertheless contain the essential information. This research work provides an overview of the available most well-known ATS systems. The purpose of this paper is to discuss the advantages and potential future applications of text summarizing techniques. This work guides about procedures that have been recommended in several research studies. Researchers can better grasp the implications, application, and efficacy of these methods by examining a variety of text summarizing techniques. This research also highlights the requirement for an enhanced text summarization architecture. The research work offers a survey of the numerous types of text summarizing methods, ranging from simple to complex methods.
Authors: Ved Kumar Gupta, Dr. Hare Ram Sah
Institution: SAGE University Indore
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4416816866