Wed, Jun 15
May 24 2022
There's a Wikidocumentaries documentation page for this at https://wikidocumentaries.wmflabs.org/wiki/Wikisource
May 23 2022
May 10 2022
Wiki page for further details https://meta.wikimedia.org/wiki/Wikimaps_@_Wikimedia_hackathon_2022
Apr 16 2022
Apr 6 2022
This would be really useful for leveraging SDC on Wikipedias
Feb 7 2022
Hi! Great that I got a ping in my mailbox about this!
Dec 12 2021
Aug 13 2021
Aug 12 2021
Jun 13 2021
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
Jun 9 2021
May 29 2021
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.
May 28 2021
Wonderful, thank you for the proposal! I think we could start thinking about different alternatives.
May 25 2021
May 24 2021
May 23 2021
The project documentation is created in https://docs.google.com/document/d/1TJuYWkM6bybMuOQocIc9YNF3fU-NH74h69P3R1OQ2m0/edit
May 22 2021
Kyrksök significant events search can be used for a part of the query type 3
May 21 2021
May 20 2021
May 18 2021
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.