Review of Text Summarization in Indian Regional Languages

Abstract

Propelled by the advancements in the field of natural language processing, generating summaries of long texts using various NLP tools and techniques has always been a subject of great interest for scientists all over the world. Data is ubiquitous, and a large amount of data is processed every second in the digital space. For these reasons also, there is need of machine learning algorithms that can automatically shorten longer texts or documents and provide the accurate and meaningful summaries. These summaries find their applications in a wide variety of fields like medicine, market review, business analytics, etc. In other languages like English, an ample amount of study and research can be observed. However, in context of the Indian regional languages, the research in text summarization is very limited and is still in the infancy state. This paper tries to explain the research and works that have been performed in the field of text and document summarization in Indian regional languages.