Workshop on AI and LLMs for Language Preservation and Advancement (ALLPA)

Scope

Languages are integral to human identity, cultural heritage, and the exchange of knowledge. However, the world is witnessing a dramatic decline in linguistic diversity, with many languages at risk of extinction due to globalization, socio-economic changes, and cultural homogenization. This loss not only diminishes cultural richness but also impacts sustainable development, including social equity, environmental stewardship, and economic opportunities.

This workshop invites researchers, practitioners, and policymakers to explore how Artificial Intelligence (AI) and Large Language Models (LLMs) can play a transformative role in preserving endangered languages and advancing linguistic diversity. The focus is on leveraging AI and LLM technologies to create innovative solutions that promote language sustainability while addressing the broader dimensions of the Triple Bottom Line (TBL)—social, environmental, and economic sustainability.

Topics

We welcome original research, case studies, and practical applications on (but not limited to) the following topics:

Preservation and Revitalization: AI-powered tools for language documentation, digital archiving, and revitalization of endangered languages.
Education and Multilingualism: The role of AI and LLMs in enabling multilingual education, inclusive learning platforms, and accessibility for underrepresented linguistic communities.
Tourism and Cultural Promotion: AI applications in tourism, such as localized language services, cultural interpretation tools, and promoting heritage sites through language technology.
Economic Opportunities: The potential of AI-driven language technologies to foster market inclusivity, enhance global trade, and support creative industries.
Environmental Knowledge: Leveraging indigenous languages for understanding traditional ecological knowledge and sustainable practices.
Technological Challenges and Solutions: Overcoming biases in AI models, addressing resource limitations for underrepresented languages, and ensuring ethical deployment of language technologies.
Policy and Governance: Frameworks for promoting linguistic diversity in AI development, balancing global standards with local cultural needs.