Paper Title :Text Summarization of Indian Languages: A Review
Author :Harsh Puri, Williamjeet Singh
Article Citation :Harsh Puri ,Williamjeet Singh ,
(2024 ) " Text Summarization of Indian Languages: A Review " ,
International Journal of Soft Computing And Artificial Intelligence (IJSCAI) ,
pp. 1-7,
Volume-12,Issue-1
Abstract : Automatic Text Summarization (ATS) is becoming much more important because of the huge amount of textual
content that grows exponentially on the Internet and the various archives of news articles, scientific papers, legal documents,
etc. Text summarization automatically produces a summary containing important sentences and includes all relevant
important information from the original document. One of the main approaches, when viewed from the summary results, is
extractive and abstractive. This paper hands out a broad overview on the work done in the field of automatic text
summarization in Indian languages using various text summarization approaches. The focal centre of this review paper is to
present the research done on text summarization on languages such as, Hindi, Punjabi, Bengali, Malayalam, Kannada,
Marathi, Assamese, Konkani, Odia, and Telugu. The paper also discusses the evaluation techniques being used for assessing
the summaries.
Keywords - Text Summarization |Natural Language Processing| Approaches| Low resource Language
Type : Research paper
Published : Volume-12,Issue-1
DOIONLINE NO - IJSCAI-IRAJ-DOIONLINE-20497
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Copyright: © Institute of Research and Journals
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Published on 2024-04-02 |
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