There's a Wikidocumentaries documentation page for this at https://wikidocumentaries.wmflabs.org/wiki/Wikisource

Wiki page for further details https://meta.wikimedia.org/wiki/Wikimaps_@_Wikimedia_hackathon_2022

@TuukkaH: @Nikerabbit voi olla henkisenä tukena, jos saatte projektin siirtymään uuteen ympäristöön.

This would be really useful for leveraging SDC on Wikipedias

Hi! Great that I got a ping in my mailbox about this!

I do not have enough expertise to evaluate the need for specific codes, but on a general level

• All language codes could be included, so I definitely support adding sjk as well
• Source materials may exist in Cyrillic form only, so I support adding them as well
• Source materials may only exist in oral form without orthography, thus being able to record whatever is available would be important. I do not know the existing practices for recording phonetic transcripts, in my opinion they should be supported.
• UPA is more commonly used for Uralic languages than IPA, and deciding which one to support would be beyond my knowledge

An edition is already language-specific, right? So we would be dealing with only one possible copy of the text. The Wikidocumentaries page for the work of the edition might not have a Wikipedia article either. The text could be presented there as well, or a link to the Wikidocumentaries page that displays the edition.

Wonderful, thank you for the proposal! I think we could start thinking about different alternatives.

The project documentation is created in https://docs.google.com/document/d/1TJuYWkM6bybMuOQocIc9YNF3fU-NH74h69P3R1OQ2m0/edit

Kyrksök significant events search can be used for a part of the query type 3
https://kyrksok.se/Q10496884.html

HI @Palak199! @Fuzheado might have prepared a sketch notebook already, so I think we would build upon that. We may also collect pieces of a code/workflow and put them together at the hackathon.

Great that this is taking shape! Thank you all! Please feel free to choose the best option from your perspective, I am ok with all options.

I am very interested in the topic but I am not very useful in putting the feature to action.

We have a GitHub repo for this now at https://github.com/AvoinGLAM/jupyter-reconciliation. The dataset is uploaded there.

My personal preference would be to have the full 55 minutes, it is a challenging topic for newbies especially. Depends completely on @Chicocvenancio though.

@Fuzheado @Chicocvenancio @Jhernandez : Would you be willing to run the workshop? I will join and assist, but I am there to learn myself :-) The time is good for me, how about you?