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

Domaine:

natural language processing

Type de record:

datasetmodel
Créateur:
GNI
Éditeur:
Zenodo
Hôte:avatar

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, Bénin
Date of discovery: 2026-03-17
SHA-256: 196346750f28116b9babdfeeeef00796db6a98d4acc1a3a75714f7cda6a7061a
HuggingFace corpus: huggingface.co
GitHub methodology: github.com
Bitcoin timestamp: OpenTimestamps — confirmed alice + bob calendars

Visit

doi.org

Tasks

language modeling

Languages

Fon

Tags

Fon Fongbè zero-shot phonology IPA NLP low-resource languages West Africa Benin

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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