Hiện đang trong giai đoạn beta
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.
Hoặc tự cài đặt các công cụ:
npm install champollionCLI dịch thuậtnpx -y champollion-mcp-serverMCP server — dành cho AI agentspipx install mt-eval-harnessEvaluation harnesscurl -fsSL https://champollion.dev/run_queue | bash -s -- --budget 2
Trang web hiện đang trong giai đoạn closed beta trong khi chúng tôi hoàn tất việc xác minh lại các nguồn dữ liệu, giấy phép và các thông tin đã công bố.
Trang web sẽ mở cửa khi quá trình kiểm tra hoàn tất — và đảm bảo mọi thứ đều chuẩn xác.
Mọi câu hỏi, đính chính, hoặc yêu cầu truy cập sớm: info@champollion.dev. Chúng tôi đặc biệt hoan nghênh mọi đính chính đối với các số liệu được trích dẫn.