# Tigrinya Language Intelligence Platform
**Building the foundational AI infrastructure for Tigrinya language
intelligence.**
Tigrinya (ትግርኛ) is spoken by millions of people and is served by almost none of
the language technology that speakers of high-resource languages take for
granted. This project exists to build that missing layer — not as an
application, but as infrastructure that others can build on.
> **Status: Phase 1 complete; Phase 2 critical path complete.** Three research
> domains done (`00_project_definition`, `01_ecosystem`, `02_linguistics`), seven
> decisions recorded. No architecture designed and no code written. See
> `PROJECT_CONTEXT.md`.
>
> **Phase 1 changed the plan.** Most of the Tigrinya model layer already exists
> and is largely openly licensed. Our differentiator is the **primitives layer**
> (Ge'ez normalisation, tokenization, morphology), the **evaluation harness**,
> and the **API/MCP/SDK surface** — none of which anyone has built. Read
> `docs/research/summaries/` — three summaries, two
> pages each.
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## What this project is
Language infrastructure: models, data, services, and developer interfaces that
make Tigrinya computationally tractable.
The platform is scoped to eventually provide translation, semantic search,
cross-language retrieval, embeddings, grammar checking, spell correction,
transliteration, morphological analysis, lemmatization, named entity
recognition, entity linking, a knowledge graph, RAG capabilities,
summarization, question answering, developer APIs, an MCP server, and SDKs.
**This is not a news application.** It is not a content product of any kind. If
work starts drifting toward an end-user media experience, it has left scope.
## Core philosophy
Reuse existing models whenever possible. Train only when proprietary advantage
exists. Prioritise, in this order: **data quality → evaluation →
reproducibility → low operating cost → maintainability.**
Full statement in `PROJECT_CONTEXT.md`.
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## How th …