Survey of Pseudonymization, Abstractive Summarization & Spell Checker for Hindi and Marathi

Rasika Ransing, Mohammed Amaan Dhamaskar, Ayush Rajpurohit, Amey Dhoke, Sanket Dalvi
12/24/2024
cs.CLcs.AI

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Abstract

India's vast linguistic diversity presents unique challenges and opportunities for technological advancement, especially in the realm of Natural Language Processing (NLP). While there has been significant progress in NLP applications for widely spoken languages, the regional languages of India, such as Marathi and Hindi, remain underserved. Research in the field of NLP for Indian regional languages is at a formative stage and holds immense significance. The paper aims to build a platform which enables the user to use various features like text anonymization, abstractive text summarization and spell checking in English, Hindi and Marathi language. The aim of these tools is to serve enterprise and consumer clients who predominantly use Indian Regional Languages.

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Cite this paper

@article{ransing2024survey,
  title  = {Survey of Pseudonymization, Abstractive Summarization & Spell Checker for Hindi and Marathi},
  author = {Rasika Ransing and Mohammed Amaan Dhamaskar and Ayush Rajpurohit and Amey Dhoke and Sanket Dalvi},
  year   = {2024},
  eprint = {2412.18163},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2412.18163v1}
}

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