arXiv (All)
open access
How Many Labels Does a Language Need? Annotation Budgets and Cross-Lingual Pooling for African-Language Text Classification
Every text classifier for an African language begins with a budgeting question: how many labelled examples are needed, and can labels from other African languages stand in for them? We answer both questions empirically for 28 language-task pairs, news topic classification in 16 languages (MasakhaNEW
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Towards Faster Language Model Inference Using Mixture-of-Experts Flow Matching#19027
- To Trust or Not to Trust: Retrieval-Augmented Fact Checking in Speech#1078298
- Labelling of food: A challenge for many#19891
- Agreement-Gated Self-Ensembling for Semi-Supervised Image Classification#696242
- AfriSyCo: Measuring Assertive Framing, Verification, and Wording Sensitivity Around African-Language Content#1011568
Record · ID 1142189
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive