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A Survey on Automated Text Summarization System for Indian Languages

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Intelligent Data Communication Technologies and Internet of Things

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 101))

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Abstract

Text summarization is the process of finding specific information after reading the document text and generating a short summary of the same. There are various applications of text summarization. It is important when we need a quick result of information instead of reading the whole text. It has become an essential tool for many applications, such as newspaper reviews, search engines, market demands, medical diagnosis, and quick reviews of the stock market. It provides required information in a short time. This paper is an attempt to summarize and present the view of text summarization for Indian regional languages. There are two major approaches of automatic text summarization, i.e., extractive and abstractive that are discussed in detail. The techniques for summarization ranges from structured to linguistic approach. The work has been done for various Indian languages, but they are not so efficient at generating powerful summaries. Summarization has not yet reached to its mature stage. The research carried out in this area has experienced strong progress in the English language. However, research in Indian language text summarization is very few and is still in its beginning. This paper provides the present research status or an abstract view for automated text summarization for Indian languages.

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Acknowledgements

Authors would like to acknowledge and thanks to CSRI DST Major Project sanctioned No.SR/CSRI/71/2015 (G), Computational and Psycholinguistics Research Lab Facility supporting to this work and Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India. Also thankful to the SARATHI organization for providing financial assistant as a Ph. D. research fellow. I would like to express my sincere thanks to my research guide Dr. C. Namrata Mahender (Asst. Professor) of the Computer Science and IT Department, Dr. B.A.M.U, Aurangabad. For providing research facilities, constant technical and moral support.

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Authors and Affiliations

  1. Department of Computer Science and I.T, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India

    P. Kadam Vaishali, B. Khandale Kalpana & C. Namrata Mahender

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  1. P. Kadam Vaishali
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  2. B. Khandale Kalpana
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  3. C. Namrata Mahender
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Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India

    D. Jude Hemanth

  2. Faculty of Communication Sciences, University of Teramo, Teramo, Italy

    Danilo Pelusi

  3. Department of Computer Engineering, San Jose State University, San Jose, CA, USA

    Chandrasekar Vuppalapati

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Vaishali, P.K., Kalpana, B.K., Mahender, C.N. (2022). A Survey on Automated Text Summarization System for Indian Languages. In: Hemanth, D.J., Pelusi, D., Vuppalapati, C. (eds) Intelligent Data Communication Technologies and Internet of Things. Lecture Notes on Data Engineering and Communications Technologies, vol 101. Springer, Singapore. https://doi.org/10.1007/978-981-16-7610-9_67

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