Unification of Balti and trans-border sister dialects in the essence of LLMs and AI Technology

TL;DR

This paper explores how AI and Large Language Models can aid in analyzing, documenting, and unifying the diverse dialects of the endangered Balti language to promote linguistic preservation and understanding.

Contribution

It introduces a novel approach using AI and LLMs to analyze and standardize Balti dialects, facilitating language preservation and unification.

Findings

AI can effectively analyze Balti dialect variations.

LLMs assist in documenting endangered dialects.

Potential for standardizing Balti language using AI.

Abstract

The language called Balti belongs to the Sino-Tibetan, specifically the Tibeto-Burman language family. It is understood with variations, across populations in India, China, Pakistan, Nepal, Tibet, Burma, and Bhutan, influenced by local cultures and producing various dialects. Considering the diverse cultural, socio-political, religious, and geographical impacts, it is important to step forward unifying the dialects, the basis of common root, lexica, and phonological perspectives, is vital. In the era of globalization and the increasingly frequent developments in AI technology, understanding the diversity and the efforts of dialect unification is important to understanding commonalities and shortening the gaps impacted by unavoidable circumstances. This article analyzes and examines how artificial intelligence AI in the essence of Large Language Models LLMs, can assist in analyzing, documenting, and standardizing the endangered Balti Language, based on the efforts made in different dialects so far.