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The novel method for real-time multilingual news summarization using cutting-edge Natural Language Processing (NLP) techniques is presented in this study as TO THE POINT. The system improves accessibility for non-English speakers by creating succinct summaries of news articles and translating them into several languages, such as Tamil and Hindi. The goal of the research is to maximize translation accuracy using both extractive and abstractive summarizing techniques while preserving the context, tone, and important details of the original article. Sophisticated machine translation models guarantee sensitivity to particular linguistic subtleties, providing a powerful instrument for the distribution of multilingual content. The technology demonstrated its efficacy for real-time use by reducing article length by an average of 70% without losing meaning and achieving 90% accuracy in keeping important information across languages.

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To the Point: Text Summarization on English and Indic Languages Using NLP and Multilingual API

  • 会议论文

  • 发表日期：

    2026年

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  • Dorjee W. Namgyal,
  • Abhinandan Singh,
  • R. Anita

摘要

The novel method for real-time multilingual news summarization using cutting-edge Natural Language Processing (NLP) techniques is presented in this study as TO THE POINT. The system improves accessibility for non-English speakers by creating succinct summaries of news articles and translating them into several languages, such as Tamil and Hindi. The goal of the research is to maximize translation accuracy using both extractive and abstractive summarizing techniques while preserving the context, tone, and important details of the original article. Sophisticated machine translation models guarantee sensitivity to particular linguistic subtleties, providing a powerful instrument for the distribution of multilingual content. The technology demonstrated its efficacy for real-time use by reducing article length by an average of 70% without losing meaning and achieving 90% accuracy in keeping important information across languages.