African Language Technology

Wolof Language Technology: Scoping Data for Speech and Text Tasks

A practical framework for discussing Wolof speech, text, and annotation needs while documenting language variety and data limitations.

Wolof is widely used in Senegal and is also spoken in neighboring communities. For AI projects, the target setting matters: everyday conversation, broadcast content, customer support, and formal text can require different collection and annotation approaches.

Specify the target task

A speech brief should describe recording conditions, speaker selection, consent, transcript conventions, metadata, and review expectations. A text or annotation brief should define source permissions, domain, label set, spelling conventions, edge cases, and the process for resolving disagreement.

Avoid overstating coverage

Small datasets may be useful for a narrow task but should not be described as representative of all Wolof speakers or use cases without evidence. Document sampling decisions, gaps, and intended use. Evaluate on examples that reflect the application and avoid overlap with training examples where separate evaluation is required.

For Wolof speech data collection, transcription, or annotation, provide a clear brief with intended use, language context, deliverables, and quality requirements. Langigs can discuss the proposed scope subject to confirmation of capacity and contributor availability.

Wolof language dataWolof speech datasetWolof transcriptionWolof AISenegal language technology

How can Langigs help?

Whether you are planning a language or AI data project or building your professional skills, choose the next step that fits you.