Low Resource Language Model for Indian Regional language

Author(s)	Ms. Soundarya C S, Prof. Harish T A, Prof. Dr. Shantala C P
Country	India
Abstract	Although many languages exist in India, they all cannot be said to have adequate support for proper language processing. The present project aims at designing a program which would aid language processing from selected Indian languages that have limited availability in digital format. The program will facilitate basic text-processing procedures such as language identification, sentence and word segmentation, stop-word elimination, word frequency count, and POS tagging.. To implement its functionality, the toolkit would use Unicode-based algorithms and simple rules-based methods, thus being able to work with several languages at once, for example, Hindi, Tamil, Telugu, Kannada, Bengali, etc. Moreover, other features like transliteration and translation would be available in order to provide additional comfort for the user. The GUI would be implemented via the Tkinter library allowing people to enter some text and conduct certain language processing actions, while watching the results. The goal of this project is to develop a simple multilingual toolkit for text processing without using complex models or large datasets.
Keywords	Natural Language Processing (NLP), Indian Regional Languages, Multilingual Text Processing, Rule-Based Language Processing.
Field	Engineering
Published In	Volume 8, Issue 3, May-June 2026
Published On	2026-05-26

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