X-Git-Url: https://code.communitydata.science/covid19.git/blobdiff_plain/308d462e767920ef541f8ccef2942e87eb854be8..36167295ecfe297780be2ec42ef1213e26d014e0:/transliterations/README.md?ds=sidebyside diff --git a/transliterations/README.md b/transliterations/README.md new file mode 100644 index 0000000..18df219 --- /dev/null +++ b/transliterations/README.md @@ -0,0 +1,3 @@ +# Transliterations + +This part of the project collects tranliterations of key phrases related to COVID-19 using Wikidata. We search the Wikidata API for entities in `src/wikidata_search.py` and then we make simple SPARQL queries in `src/wikidata_transliterations.py` to collect labels and aliases the entities. The labels come with language metadata. This seems to provide a decent initial list of relevant terms across multiple languages.