Fon Zero-Shot Phonological Activation via IPA Token Alignment — IA Facile Bénin

This dataset and methodology document the discovery of Fon zero-shot phonological activation via IPA token alignment in large language models. Discovery: Large language models activate Fon (Fongbè) phonology without specific training, through structural resonance with IPA tokens present in their base vocabulary. Author: Samuel Gnigla (LRDY) — IA Facile Bénin, SHAP SHAP SARL, Cotonou, BéninDate of discovery: 2026-03-17SHA-256: 196346750f28116b9babdfeeeef00796db6a98d4acc1a3a75714f7cda6a7061aHuggingFace corpus: https://huggingface.co/datasets/iafacile/fon-acoustic-corpusGitHub methodology: https://github.com/iafacilebenin/fon-pipeline-methodologyBitcoin timestamp: OpenTimestamps — confirmed alice + bob calendars本数据集与方法论文档记录了大语言模型（Large Language Model, LLM）通过国际音标（International Phonetic Alphabet, IPA）Token对齐实现丰语（Fon，亦称Fongbè）零样本语音激活的相关发现。 研究发现：大语言模型无需针对丰语开展特定训练，即可通过与其基础词表中包含的IPA Token产生结构共振，激活丰语的语音系统。 作者：Samuel Gnigla（LRDY）——贝宁IA Facile、SHAP SHAP SARL，科托努，贝宁；发现日期：2026年3月17日 SHA-256哈希值：196346750f28116b9babdfeeeef00796db6a98d4acc1a3a75714f7cda6a7061a Hugging Face语料库：https://huggingface.co/datasets/iafacile/fon-acoustic-corpus GitHub方法论仓库：https://github.com/iafacilebenin/fon-pipeline-methodology 比特币时间戳：OpenTimestamps——已通过alice与bob日历完成验证