TEXT SUMMARIZATION FOR INDIAN LANGUAGES: A SURVEY
Journal: International Journal of Advanced Research in Engineering and Technology (IJARET) (Vol.12, No. 01)Publication Date: 2021-01-31
Authors : Kishore Kumar Mamidala Suresh Kumar Sanampudi;
Page : 530-538
Keywords : Natural Language Processing; Text Summarization; Extractive summarization; Statistical Methods; Machine Learning.;
Abstract
With the increasing amount of huge data availability on the internet, the need for automatic text summarization has emerged in the recent past. Text summarization methods generate summaries of the relevant information from original content. Text summarization methods are two types abstractive and extractive. For English, numerous text summarization techniques exist in the literature. But for Indian languages, there are only a few techniques developed. This paper presents a survey and analysis of text summarization methods developed for Indian languages—the challenges involved in summarizing Indian language documents. Merits and demerits of the existing techniques are listed. This paper also investigates which method is ideal for summarizing documents in Indian languages.
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Last modified: 2021-03-25 20:51:30