low-resource-nlp-toolkit 0.2.0

Adds an evidence-first code-switch audit for short multilingual text. The audit reports token routes, original offsets, accepted spans, language-mix counts, a code-switch ratio and warnings for weak or mixed evidence. The package remains dependency-light and works as a corpus-triage layer. Broad African language identification requires dedicated trained models and wider evaluation.