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Algorithm-first NLP utilities for African languages

Project description

DataForge Africa NLP

Algorithm-First Language Intelligence for Africa


Overview

DataForge Africa NLP is an open, algorithm-first foundation for building trustworthy, explainable, and inclusive language systems for African languages.

This project exists because African languages are often:

  • excluded from mainstream NLP tooling
  • treated as “low-resource” by default
  • forced to conform to foreign linguistic assumptions

We believe African languages deserve engineering rigor, not approximation.


Why This Project Exists

Most NLP systems are:

  • model-first
  • opaque
  • dependent on large datasets and paid APIs

DataForge Africa NLP takes a different path:

  • Algorithm-first before AI-first
  • Deterministic and explainable by default
  • Inclusive of real-world typing and linguistic variation
  • Designed for education, public services, and community use

This makes the project suitable for:

  • learners and educators
  • NGOs and public institutions
  • researchers and practitioners
  • low-resource and low-connectivity environments

Core Principles

This project is guided by the
📜 DataForge Africa NLP Manifesto

Key principles include:

  • African languages are first-class citizens
  • Normalize for people, not keyboards
  • Determinism before probabilistic behavior
  • Trust and safety over fluency
  • Education is a core output

Every contribution and design decision is evaluated against these principles.


Project Structure

dataforge_africa/
├── nlp/
│   ├── normalization.py
│   └── __init__.py
│
├── __init__.py
│
.github/
├── ISSUE_TEMPLATE.md
├── PULL_REQUEST_TEMPLATE.md
│
MANIFESTO.md
CONTRIBUTING.md
CODE_OF_CONDUCT.md
README.md

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