Topic on User talk:So9q

Hi there! Just wanted to send along thanks for a query you wrote :) On Wikidata:SPARQL query service/queries/examples/ar I found a query from you that was for "German picture dictionary for young children". I'm working on an issue for Scribe Language Keyboards where we need to remove profane words from autosuggestions. Your query to filter them out will be the perfect base for the query to get them into an eventual Python workflow where we'll not allow a word to be an autosuggest option if it's in the result of the profanity query.

Thanks for creating that query! :)

Nice to hear the graph and query is of use to you 😀. I absolutely love this large knowledge base we are building together. ❤️

When the lexemes mature you will probably be able to use those as well in applications like this.

Would you like to link to your code/product so I can take a look?

Scribe is already Wikidata lexeme based for all its grammar needs 😊 I made the decision to open source the full project and base it off Wikidata, with the autosuggestions we're working on coming from Wikipedia dumps so we can derive which words often follow other words :) Obviously there are some major holes in the data now, but another overlying goal is to promote Wikidata so that more people get involved and the data grows.

Some useful links:

- Scribe on the App Store (as of now just for iOS, and give us two weeks and the autocomplete and autosuggest should be in there 😊)

- Scribe-iOS on GitHub

- Scribe-Data where we house the WDQS queries and Python scripts to run/format them all

Would be happy to get your feedback, and let me know if you have any questions!

Here's a link to the query in Scribe-Data, by the way :) :)

https://github.com/scribe-org/Scribe-Data/blob/main/src/scribe_data/extract_transform/query_profanity.sparql