Langigs Insights
Practical ideas for better language and AI data.
Guides and practical articles on African and Asian language technology, speech and annotation data, localization and multilingual AI.
8 articles in African Language Technology
Tshivenda (Venda) Language Data for AI: What Project Teams Should Know
A practical introduction to scoping Tshivenda language data projects, including regional variety, orthography, speaker context, consent, and evaluation needs.
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Hausa Speech Data and Transcription: Planning for Real-World AI Use
Key choices for Hausa speech collection, transcription conventions, dialect coverage, consent, and quality review.
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Yoruba NLP and Language Data: Tone, Orthography, and Context
Why tone marking, spelling conventions, context, and reviewer guidance matter when preparing Yoruba data for AI.
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Igbo Language Data for AI: Dataset Design and Quality Questions
A task-first checklist for planning Igbo text, speech, transcription, and annotation projects without overlooking orthographic variation.
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Swahili Speech and Text Datasets: Choosing the Right Coverage
How regional variety, task design, domain coverage, and consent shape useful Swahili datasets for multilingual AI.
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Amharic Language Data for AI: Script, Speech, and Evaluation
Project considerations for Amharic data, including Ethiopic script handling, audio coverage, normalization, and reviewer guidance.
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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.
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Nigerian Pidgin AI Data: Capturing Everyday Speech and Meaning
Why Nigerian Pidgin projects should account for code-switching, conversational context, transcription choices, and diverse speakers.
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