Comprehensive Analysis of Sanskrit Text: Lexical Processing

M Mary Sujatha; Golla Sai Kumar; KURUVA MALAGAVELI RAMESH

Comprehensive Analysis of Sanskrit Text: Lexical Processing

Author(s)	Dr. Ms. M Mary Sujatha, Golla Sai Kumar, KURUVA MALAGAVELI RAMESH
Country	India
Abstract	Sanskrit is one of the oldest languages in human civilization, holds immense historical, literary, and philosophical significance. However, due to its complexity and limited accessibility in the modern digital landscape, there is a growing need for tools that facilitate its understanding and utilization. This article aims to bridge this gap by developing a comprehensive Sanskrit text summarization and translation system using Natural Language Processing (NLP) techniques. The system follows a structured three-phase approach to process Sanskrit text efficiently. Initially, the input Sanskrit text is translated into English text using the Google Translate API, ensuring that the content is accessible to a broader audience. Once translated, the English text undergoes an advanced summarization process utilizing the Latent Semantic Analysis (LSA) algorithm from the Sumy library, which extracts the most relevant sentences while retaining the original meaning. This summarized content is then translated back into Sanskrit, providing a concise and refined version of the original text while preserving its essence. The entire process is seamlessly integrated into a user-friendly graphical interface developed using Tkinter, which allows users to input, process, and retrieve results efficiently. The system leverages asynchronous programming to enhance performance, ensuring that translations and summarizations are executed swiftly. By incorporating state-of-the-art NLP methodologies, it significantly contributes to the field of computational linguistics, particularly in Sanskrit language processing. The proposed methodology is not only aids researchers, students, and linguists in analyzing Sanskrit texts but also serves as a foundational tool for future advancements in automated Sanskrit text comprehension. The proposed ideology has the potential to facilitate the preservation and dissemination of Sanskrit literature by making it more accessible in the digital era, thereby fostering continued interest and scholarly exploration in the domain of classical languages.
Keywords	Natural Language Processing (NLP) Machine Translation, Google Translate API, Latent Semantic Analysis (LSA), Singular Value Decomposition (SVD).
Field	Computer Applications
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-04-03

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Comprehensive Analysis of Sanskrit Text: Lexical Processing

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