Abstract:
Bangla, also known as Bengali, is a prominent language spoken by over 230 million people
globally and serves as the official language of Bangladesh and one of the 22 scheduled
languages of India. Despite its widespread usage, various local languages in Bangladesh,
including Rajshahi, Chittagong, Sylhet, Barisal, and Rangpur, face endangerment due to
urbanization, globalization, and limited educational opportunities. The shift towards
dominant languages like Bengali, coupled with social stigma and limited exposure in media
and formal settings, contributes to the gradual decline of local languages. To combat this
decline, efforts are underway to preserve linguistic diversity and heritage. Artificial
Intelligence (AI) and Machine Learning (ML) offer promising solutions to address the
challenges local languages face. Language preservation tools powered by AI facilitate the
documentation, transcription, and archiving of oral traditions, literature, and vocabulary in
endangered languages. ML algorithms enable the creation of language learning platforms
and mobile applications tailored to specific local languages, enhancing accessibility and
engagement. Furthermore, AI-driven translation and localization technologies facilitate the
integration of local languages into digital content and services, ensuring their relevance
and accessibility in the digital age. Collaboration between AI researchers, linguists,
educators, and community members is essential for the development and implementation
of these solutions. Data collection for local languages can be achieved through direct
engagement with local citizens, surveys, interviews, and community outreach programs, as
well as from local literature and written materials. Leveraging AI and ML technologies
holds promise in revitalizing and preserving local languages, thereby contributing to the
preservation of linguistic diversity and cultural heritage in Bangladesh and beyond.
