hannah-khallaf/diachronic-terminology-lab

Diachronic Terminology Lab

Dynamic English–Arabic legal terminology research interface, backed by DuckDB and Parquet.

Create this Space with Private visibility and CPU Basic hardware. Upload the contents of this folder to the Space repository root: Dockerfile and this README.md must be at the top level, alongside pyproject.toml, requirements-tested.txt, terminology_engine/ and database/.

The database is included in the container image. It is read-only through the web interface and restored from that image on restart. There are no API tokens, external model services or runtime corpus downloads. No GPU is required by this application. Hugging Face supplies HTTPS and controls access through the private Space.

Select a source term, session range and scenario, then click Run analysis. Charts, bilingual evidence, candidate relationships and cached Arabic morphology all use the shared engine. Expert review snapshots are imported offline with the CLI and then deployed as an updated database.

All automatic candidate associations remain provisional. This application does not claim final expert-validated linguistic results.

Deployment reference: https://huggingface.co/docs/hub/spaces-sdks-docker