Survey of Pseudonymization, Abstractive Summarization & Spell Checker for Hindi and Marathi
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | |
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| _version_ | 1866915078120407040 |
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| author | Ransing, Rasika Dhamaskar, Mohammed Amaan Rajpurohit, Ayush Dhoke, Amey Dalvi, Sanket |
| author_facet | Ransing, Rasika Dhamaskar, Mohammed Amaan Rajpurohit, Ayush Dhoke, Amey Dalvi, Sanket |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_18163 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Survey of Pseudonymization, Abstractive Summarization & Spell Checker for Hindi and Marathi Ransing, Rasika Dhamaskar, Mohammed Amaan Rajpurohit, Ayush Dhoke, Amey Dalvi, Sanket Computation and Language Artificial Intelligence 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. |
| title | Survey of Pseudonymization, Abstractive Summarization & Spell Checker for Hindi and Marathi |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2412.18163 |