AUTOMATIC TEXT SUMMARIZATION FOR INDIAN LANGUAGES

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Automatic text summarization is a computational technique that condenses the content of a text while preserving its important information. It plays a crucial role in managing overloaded information and saving time by providing concise summaries. Automatic summarization improves information retrieval, supports decision-making, enhances accessibility, enables scalability, and facilitates content organization. Indian language text summarization is particularly important due to the linguistic diversity in India. It promotes accessibility, information dissemination, local news summarization, education, and cultural preservation. Recent research in Indian language text summarization has focused on languages like Hindi, Telugu, Punjabi, Malayalam, and Sanskrit, proposing various methods that achieve high ROUGE scores. Continued research in this area will contribute to its effectiveness and advancement, benefiting a wider audience in India.