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A Survey of Text Summarization Techniques for Indian Regional Languages
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 165 - Number 11 |
| Year of Publication: 2017 |
| Authors: Sheetal Shimpikar, Sharvari Govilkar |
10.5120/ijca2017914083
|
Sheetal Shimpikar, Sharvari Govilkar . A Survey of Text Summarization Techniques for Indian Regional Languages. International Journal of Computer Applications. 165, 11 ( May 2017), 29-33. DOI=10.5120/ijca2017914083
Abstract
Summarization is the process of reducing a text document with a computer program in order to create a summary that retains the most important points of the original document. Technologies that can make a coherent summary take into account variables such as length, writing style and syntax. The main idea of summarization is to find a representative subset of the data, which contains the information of the entire set. Text summarization is commonly used to handle summaries of email threads, action items from a meeting and simplifying text by compressing sentences used to manage knowledge and also to help Internet search engines. This paper gives comparative study of various text summarization techniques used for Indian regional languages and also discusses in detail two main Types of Text summarization techniques these are extractive and abstractive.
References
- Sunitha C, Dr. A Jaya and Amal Ganesh “Abstractive Summarization Techniques in Indian Languages”, Peer-review under responsibility of the Organizing Committee of ICRTCSE 2016 doi: 10.1016/j.procs.2016.05.121, International Conference of recent trends in computer science.
- Jagadish S Kallimani, “Summarizing News Paper Articles: Experiments with Ontology- Based, Customized, Extractive Text Summary and Word Scoring”, Research Scholar, Department of Computer Science and Engineering, Jawaharlal Nehru Technological University, Kakinada, Andra Pradesh, India, 2012.
- Manjula Subramanian, “Semantic graph reducing technique to generate abstractive summary with input text in Hindi.
- Rajina Kabeer, “Semantic Graph based method on summarising documents in Malayalam”, IEEE International conference on data science and engineering, 2014.
- Atif Khan and Naomic Salim, “Abstractive Summarization Methods”, Journal of Theoretical and applied information technology, vol.55, ISSN- 1992-8645, E-ISSN-1817, 3195, September-2013.
- Barzilay and Mckeown, “Sentence fusion for multi document news summarization”, Computer Linguistics, vol-31, pp. 297-338, 2005
- Harabagin and Lacatusu, “Generating single and multi-document summaries with gistexter”, in document understanding conference, 2002.
- Lee and Jian, “Ontology based method, text representation on Fuzzy ontology and content selection is classifier”, Systems, Man and Cybernetics, Part B: Cybernetics, IEEE Transaction on, vol.35, pp. 859-880, 2005
- Green backer, “Multimodal semantic model”, ACL HLT 2011, pp.75, 2011.
- Genest and Lapalme, “Framework for abstractive summarization using text to text generation”, in Proceeding of workshops on Monolingual Text to Text generation., 2011, pp.64-73, information item.
- Hadia Abhas Mohammed Elsied, Naomic Salim, “Automatic Abstraction Summarization a systematic Literature review”, Journal of Theoretical and Applied Information Technology 31st August 2013. Vol. 54 No.3, ISSN: 1992-8645, E-ISSN: 1817-3195.
- Rosna P Harun, “Text Summarization methods in Dravidian Language”, International Journal of Innovations in Engineering and Technology (IJIET), Volume 7 Issue 1 June 2016.
- Renjith SR and Sony P, “Automatic text summarization for Malayalam using sentence extraction”. Proceedings of 27th IRF International Conference, 14th June 2015, Chennai, India, ISBN: 978-93-85465-35-2
- Krish Perumal, Bidyut baran Chaudhuri Language Independent Sentence Extraction based Text Summarization, In Proceedings of ICON 2011, and 9th International Conference on Natural Language Processing.
- Prajitha, “An algorithm namely LALITHA-A, A light weight Malayalam stemmer”, Control Communication and Computing (ICCC), 2013 International Conference on, DOI: 10.1109/ICCC.2013.6731658, 06 February 2014.
- Pragisha K. and P.C. Raghu Raj. STHREE: Stemmer for Malayalam using THREE pass algorithm. Presented in the IEEE ICCC 2013, College of Engineering, and Trivandrum.
- Dhanya P M and Jathavedam M, “Comparative study of text summarization in Indian Languages”, International Journal of Computer Applications (0975 – 8887) Volume 75– No.6, August 2013.
- Vishal Gupta and Gurpreet Singh Lehal, “Automated Punjabi text extraction summarization system”, Manuscript received January 12, 2010; revised March 22, 2010; Accepted April 29, 2010, doi:10.4304/jetwi.2.3.258-268
- R.C. Balabantaray, B Sahoo and Mswan,”Odia text summarization using stemmer”, International Journal of Applied Information Systems (IJAIS) – ISSN: 2249-0868 Foundation of Computer Science FCS, New York, USA Volume 1– No.3, February 2012 – www.ijais.org
- Sankar K, Vijay Sundar Ram K and Sobha Devi, “Text extraction on Agglutinative languages”, Language in India www.languageinindia.com 1 1: 5 May 2011.
- Kamal Sarkar, “Bengali text summarization by sentence extraction”, Computer Science & Engineering Department, Jabalpur University, Das, A. & Bandyopadhyay, S. 2010. Topic- Based Bengali Opinion Summarization. COLING (Posters) 2010: 232-240.
- Baxendale, “Straight forward method of sentence extraction using document title”, Proceedings of the NAACL HLT Workshop on Integer Linear Programming for Natural Language Processing, pages 1–9, Boulder, Colorado, June 2009. C 2009 Association for Computational Linguistics.
- N. R. Kasture1, Neha Yargal 2, Neha Nityanand Singh3, Neha Kulkarni4 and Vijay Mathur5, “A Survey on Methods of Abstractive Text Summarization”, International journal for research in emerging science and technology, volume-1, issue-6, November-2014.
- tf–idf https://en.wikipedia.org/wiki/Tf%E2%80%93idf
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