Nasa beta na ngayon
Machine translation development and deployment on rails, built with low-resource and Indigenous language communities in mind.
We are putting the tools on rails: a project on your own computer that takes you from the files your community keeps to a measured model, while the people who hold the language decide where its sentences may go, what counts as good enough, and what ships. That release is being prepared; the rails promise you will know how good a model is — not that it is good. Today's releases are below.
Today's releases, on npm and PyPI — the CLI and the MCP server are source-available and free for noncommercial use; the evaluation harness is open source (AGPL):
Set up Champollion in this project. Champollion is machine translation development and deployment on rails, built with low-resource and Indigenous language communities in mind. 1. Read https://champollion.dev/for-agents.md — it lists every tool and machine-readable endpoint. 2. Add the Champollion MCP server using whatever mechanism this environment supports. It runs over stdio as: npx -y champollion-mcp-server 3. Confirm by listing the MCP server's tools, then tell me which ones are available. 4. Do not open or read my data files yourself; ask me first. Asking is not a lock — for protected text, use an agent whose model runs on this computer.
O i-install ninyo mismo ang mga tool:
npm install champollionTranslation CLInpx -y champollion-mcp-serverMCP server — para sa mga AI agentpipx install mt-eval-harnessEvaluation harnesscurl -fsSL https://champollion.dev/run_queue | bash -s -- --budget 2
Ang mismong site po ay nasa closed beta habang tinatapos namin ang muling pag-verify sa aming mga source, lisensya, at claim.
Magbubukas po ito kapag tapos na ang pagsusuri — at ginawa nang tama.
Para sa mga tanong, pagwawasto, o request para sa early access: info@champollion.dev. Lubos po naming tinatanggap ang mga pagwawasto sa anumang cited figure.