Datasets:
Tasks:
Automatic Speech Recognition
Modalities:
Text
Formats:
json
Languages:
Kamba (Kenya)
Size:
< 1K
License:
| # Kamba orthography and normalization | |
| **Status: not yet written.** Roadmap item v0.1 requires examining real transcripts from the | |
| candidate corpora first; the normalization rules themselves are v0.2+ work and must involve | |
| native Kamba speakers before anything beyond `normalize.py` v0.1's language-agnostic base layer | |
| is implemented. | |
| This document will hold, once that work happens: | |
| - the linguistic justification for any spelling variants the normalizer treats as equivalent | |
| (the kind of citation-backed reasoning a normalizer needs — not rules invented without native- | |
| speaker or literature support), | |
| - documented accepted spelling variants and how they were identified, | |
| - the relationship between this document and `normalize.py`'s `NORMALIZATION_CHANGELOG`, so every | |
| normalization version is traceable to the linguistic reasoning behind it, and | |
| - open questions about dialect-specific spelling differences, if any are found. | |
| See `kambabench/scoring/normalize.py` for the current (v0.1, base-only) implementation. | |