Bharti Nathani
Papers
1
Total Citations
4
H-Index
1
About
Dr. Bharti Nathani is a dedicated researcher in the field of Natural Language Processing (NLP), with a focused expertise in Named Entity Recognition (NER) for Indian languages. Her work addresses the critical challenge of adapting NER—a core AI and machine learning application—to linguistically diverse and resource-constrained Indian language contexts. Her most-cited survey, "A Survey on Various Approaches Used in Named Entity Recognition for Indian Languages" (2022, 4 citations), provides a comprehensive analysis of methodologies for identifying entities such as person names, organizations, locations, and designations in Indian language texts. This foundational review synthesizes existing approaches, highlighting gaps and guiding future research in multilingual NLP. Dr. Nathani’s contributions are particularly significant for advancing AI-driven language technologies in India, where robust NER systems are essential for information extraction, search engines, and digital humanities. Her work underscores the importance of bridging computational linguistics with regional language processing, making her a valuable voice in the growing field of Indian language AI.
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