CyrillicQA: The Influence of Phonetically Encoded Secret Language on LLM Performance
Erik Thureck
cs.CL cs.AI cs.LG
Abstract
Due to the selection of their training data, large language models (LLMs) perform best on standard-language inputs from languages using the Latin alphabet with large speaker populations, while disadvantaging other language varieties. Nevertheless, they can also be a versatile tool for preserving precisely such endangered languages. But do they also possess the necessary creativity and capacity for abstraction to decode phonetically encoded language the same way humans do?
Topics
Classified with taxonomy v2 on Sat, 5 Sept 2026.