This study investigates the ability of AI models, specifically GPT-4 and GPT Data Analyst, in creating language maps for language documentation. It integrates documentary linguistics, linguistic geography, and AI to showcase how these models facilitate the spatial documentation of languages through the creation of language maps with minimal cartographic expertise.
The study uses a CSV file and a GeoJSON file obtained from HDX and the researcher's fieldwork to generate language distribution maps in real-time conversations with the AI models. The findings suggest that the AI models can produce high-quality static and interactive web maps, streamlining the map-making process, despite facing challenges like inconsistencies and difficulties in adding legends.
The study highlights the promising future for AI in generating language maps and enhancing the work of documentary linguists as they collect their data in the field, pointing towards the need for further development to fully harness AI's potential in this field.
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by Hakam Ghanim at arxiv.org 04-02-2024
https://arxiv.org/pdf/2404.01263.pdfDeeper Inquiries