Harnessing Natural Language Processing to Deciphers Ancient Temple Texts

This paper explores the use of Natural Language Processing (NLP) and Optical Character Recognition (OCR) to digitize and translate ancient Indian temple inscriptions. By applying machine learning to ancient languages like Sanskrit and Tamil, the research offers methods to decode and reconstruct eroded texts. Semantic analysis tools are also used to uncover the cultural and historical significance of the inscriptions. This interdisciplinary approach combines data science with cultural preservation, providing new ways to understand ancient texts.