Artificial Intelligence and the Spatial Documentation of Languages
Hakam Ghanim
The advancement in technology has made interdisciplinary research more
accessible. Particularly the breakthrough in Artificial Intelligence AI has
given huge advantages to researchers working in interdisciplinary and
multidisciplinary fields. This study investigates the ability of AI models,
particularly GPT4 and GPT Data Analyst in creating language maps for language
documentation. The study Integrates documentary linguistics linguistic
geography and AI by showcasing how AI models facilitate the spatial
documentation of languages through the creation of language maps with minimal
cartographic expertise. The study is conducted using a CSV file and a GeoJSON
file both obtained from HDX and from the researchers fieldwork. The study data
is then applied in realtime conversations with the AI models in order to
generate the language distribution maps. The study highlights the two AI models
capabilities in generating highquality static and interactive web maps and
streamlining the mapmaking process, despite facing challenges like
inconsistencies and difficulties in adding legends. The findings suggest a
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 potential in this field.