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'sNORMALIZATION_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.