Group 1: Session report on the IPILM-conference
Introduction
The presentation explored the impact of AI on local culture, focusing on the aspect of language. It provided an overview of Natural Language Processing (NLP) and its applications in language technology, including machine translation, speech synthesis and speech recognition.
In the presentation, the underrepresentation of minority languages and the dependence on English-language texts were highlighted. The focus of the presentation was placed on the role of Artificial Intelligence in language preservation and documentation, particularly for endangered languages like Cherokee. In addition to technological advances, challenges such as ethical considerations and cultural biases were addressed.
The case study on the Cherokee language showed practical approaches to language revitalization and the importance of balancing technological innovation with cultural authenticity.
Discussion
The discussion addressed critical questions about making AI tools accessible to underrepresented communities, beyond researchers and developers. The group emphasized the need for user-friendly platforms that cater to different levels of technological expertise. Efforts should also be made to make these tools available in different languages, particularly for communities without advanced digital infrastructure.
Next, the participants explored how technology aids in documenting and revitalizing lesser-known languages. The group emphasized that AI, especially natural language processing (NLP), was important for documenting and revitalizing lesser-known languages by analyzing linguistic data to create digital archives, educational resources, and language learning apps.
A specific question focused on the role of the Cherokee community in developing AI tools for their language. In our opinion, the Cherokee community should have led the development of AI tools to preserve the cultural and linguistic integrity of their language, ensuring the decolonization of research.
Another important question delved into whether AI efforts in language preservation also represented different dialects and regional variations, to avoid promoting a homogenized culture. AI efforts in language preservation should recognize and represent regional dialects and variations to avoid creating a homogenized culture. This can be achieved by training AI models on diverse linguistic data that includes various dialects, regional accents, and cultural nuances.
Further information
If you are interested in learning more about Cherokee, you can visit the Cherokee nation website and watch the following video:
Further Readings
Zhang, Kexun; Choi, Yee; Song, Zhenqiao; He, Taiqi; Wang, William; Li, Lei. (2024): Hire a Linguist!: Learning Endangered Languages in LLMs with In-Context Linguistic Descriptions, 15654-15669.
This study explores how the innovative LINGOLLM project enables large language models (LLMs) to work with endangered languages by incorporating linguistic descriptions such as dictionaries and grammar books. This approach enhances AI’s translation and processing capabilities for rare and endangered languages.
Zaki, Muhammad Zayyanu; Ahmed, Umar (2024): Bridging linguistic divides: The impact of ai-powered translation systems on communication equity and inclusion. In: Journal of translation and language studies (5.2), 20-30.
This article explores how AI-powered translation systems influence communication equity and inclusion, addressing challenges such as linguistic bias and accessibility for marginalized communities.
Zhang, Shiyue; Frey, Ben; Bansal, Mohit (2022): How can NLP Help Revitalize Endangered Languages? A Case Study and Roadmap for the Cherokee Language. In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 1529- 1541.
The study explores how Natural Language Processing (NLP) can aid in revitalizing endangered languages, with a focus on Cherokee. It examines the language’s current state, resources, and challenges, and suggests strategies for collaboration with indigenous communities.
Our presentation
Below, you’ll find the screencast of the presentation on “AI Impact on Culture: Language”:
