Unification of Balti and trans-border sister dialects in the essence of LLMs and AI Technology
This addresses the preservation of an endangered language for linguistic communities, but it appears incremental as it builds on existing efforts without introducing new methods.
The paper tackles the problem of unifying endangered Balti dialects by analyzing how AI and Large Language Models can assist in documenting and standardizing the language, but it does not provide concrete results or numbers.
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.