The Karibu project is a collaboration between pleIAs, Bibliothèque sans frontière (BSF) and Kajou. Our platform delivers comprehensive educational activities across six CEFR proficiency levels (A1 to C2), making quality language learning accessible to all, even in offline environments through microSD card deployment. By combining reading comprehension, interactive exercises, and personalized learning paths, Karibu creates an immersive educational experience that adapts to each learner's needs.
Karibu Language Level Classifier
Karibu is a DeBERTa-based classifier that automatically assigns CEFR language proficiency levels (A1-C2) to French educational content.
Architecture: DeBERTa with multi-head classification
- Base Model: PleIAs/celadon
- Model Size: Fine-tuned from DeBERTa-v3-small
- Output : 6 classification levels (A1, A2, B1, B2, C1, C2)
Training Details
Training Data: 9,000 synthetic samples
Source: French press articles + Wikimedia content
Processing: Sequential text simplification using an open source model (to come)
Validation: 1,000 samples per level manually verified by BSF experts
Topics Coverage:
- solidarity, geography, African literature, agriculture, tourism, cultural events, African history, geopolitics, communication
- Topic Filtering: Meta-Llama-3-8B-Instruct for content categorization
levels
- Manual verification using CEFR framework criteria
- Statistical validation using Louvain word-level classification
Technical Integration
- Deployment: Offline-capable via microSD cards
- Format: H5P-compatible for interactive exercises
- Input Processing: Handles various text types (academic writing, press articles, emails, letters, stories)
Collaborators
PleIAs: Technical development, Bibliothèque Sans Frontières (BSF): Educational expertise, Kajou: Distribution platform
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Model tree for PleIAs/KaribuAI
Base model
PleIAs/celadon