Nigerian Pidgin is used in varied social and regional contexts, often alongside English and other Nigerian languages. For conversational AI, speech recognition, and text analysis, a project must define the target variety and how code-switching should be represented.
Transcription choices
Decide whether transcripts should preserve the speaker’s wording, use a normalized orthography, include punctuation, identify language switches, or mark fillers and overlapping speech. No single convention suits every task; consistency with the intended application is key.
Sampling and evaluation
Define speaker and context coverage, recording conditions, consent, data rights, and quality checks. A pilot can show whether guidelines work for real conversations and whether annotators agree on ambiguous expressions. Evaluation material should reflect target users and should not simply repeat training examples.
Organizations seeking Nigerian Pidgin speech data, transcription, or annotation should describe the use case, collection scope, permitted use, and review requirements. Langigs can review the request and confirm feasibility before making commitments.
