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In the era of digital world, online information is growing exponentially.It leads to emergence of inconvenient searching of relevant information in relevant time.In this regard, automatic text summarizer proves to be a good tool.It helps in creating a brief and meaningful form of the given text using natural language tool kit so that users can access the information in quick manner.Today, a lot of summarization tools are available for rich resource languages such as English.But, it seems difficult to summarize the text for Indian languages (low resource languages) due to limited availability of NLP tools and techniques for Indian languages.In this paper, we present a survey on existing text summarization methods and NLP tools for Indian languages.We also discuss about the issues associated with the Indian languages that are the bottlenecks for summarizing Indian language text.
Verma et al. (Wed,) studied this question.