Transliteration of Sanskrit Scripts using Natural Language Processing and Meta-Heuristic Algorithms
Pradyumna Kallay, Narayanan Ganesh · 2023
The systematic analysis of data to find unnoticed patterns, trends, and correlations is known as data analytics.Data analysts can convert unusable data into valuable information by using a variety of approaches, including statistical analysis, machine learning algorithms, and data visualization.Data analytics employs a variety of nature-inspired algorithms for process optimization, and this article will primarily focus on one of these topics.A difficult combinatorial optimization problem can be approximately solved using these meta heuristic algorithms, which are a higher-level optimization technique.Numerous optimization issues can be solved with these meta heuristic techniques.In the fields of artificial intelligence and linguistics, natural language processing (NLP) is used to facilitate communication between computers and human (natural) languages.NLP is applicable to speech-to-text, picture processing, and language transliterations.In this study, an effort was made to integrate NLP and meta-heuristic algorithms to translate Sanskrit scripts into Roman characters.A challenging linguistic endeavor that unites two different writing systems is transliterating Sanskrit scripts into roman characters.