Back to corpus
research noteexperiment writeup candidatescore 18

N'Ko Public Blog Series

This folder is the public narrative version of the final four-paper bundle. The older `blog/posts/` drafts had the right energy: they opened with Solomana Kante, walked through the experiments as they actually unfolded, used numbers as evidence rather than decoration, and treated N'Ko as both a technical system and a living script. This series keeps that voice while tightening the claims around the final research record.

Full HTML reader

Read the full artifact

Open in new tab

Extracted abstract or opening context

This folder is the public narrative version of the final four-paper bundle. The older `blog/posts/` drafts had the right energy: they opened with Solomana Kante, walked through the experiments as they actually unfolded, used numbers as evidence rather than decoration, and treated N'Ko as both a technical system and a living script. This series keeps that voice while tightening the claims around the final research record. The research papers under `../final/` preserve the formal argument. These essays are for readers who need to understand why the work matters before they care about the LaTeX. | # | Post | Job | |---|------|-----| | 0 | `00-field-guide-to-the-claim.md` | The map: what the project found, what 20.57% CER means, and which claims stay separate. | | 1 | `01-when-unicode-is-not-understanding.md` | The brain scan: why rendering N'Ko is not the same as representing it. | | 2 | `02-why-20-57-cer-matters.md` | The measurement story: why direct N'Ko CER is a serious ASR result. | | 3 | `03-the-model-that-listened-in-nko.md` | The architecture story: how Whisper features, CTC, trajectory state, TAR, and TTT fit together. | | 4 | `04-after-the-transcript.md` | The deployment story: why AGP exists after the transcript and what Djoko taught us. | Define the machinery in plain English before using labels like CTC, TAR, TTT, or AGP. Use numbers as turning points in the story: 32 tokenizer entries, 2.94x translation tax, 290,596 speech pairs, 216,225 edits, 1,050,967 reference characters, 20.57% CER.

Promotion decision

What has to happen next

Attach run IDs, datasets, metrics, and reproduction commands.

Why this is not always a full paper yet

Corpus pages are public-safe readers for discovered workspace artifacts. They are not automatically final papers. A corpus item becomes a polished paper only after the editable source, evidence checkpoints, references, figures, render path, and release status are attached through the paper schema.