Wikifunctions is a new site that has been added to the list of sites operated by WMF. I definitely see uses for it in automating updates on Wikipedia and bots (and also for programmers to reference), but their goal is to translate Wikipedia articles to more languages by writing them in code that has a lot of linguistic information. I have mixed feelings about this, as I don’t like existing programs that automatically generate articles (see the Cebuano and Dutch Wikipedias), and I worry that the system will be too complicated for average people.

  • robotica@lemmy.worldEnglish
    4·
    10 months ago

    Disclaimer, I didn’t do any research on this, but what would be bad with just AI translating text, given a reliable enough AI? No code required, just plain human speech.

    • GenderNeutralBro@lemmy.sdf.orgEnglish
      7·
      10 months ago

      This will help make machine translation more reliable, ensuring that objective data does not get transformed along with the language presenting that data. It will also make it easier to test and validate the machine translators.

      Any automated translations would still need to reviewed. I don’t think we will (or should) see totally automated translations in the near future, but I do think the machine translators could be a very useful tool for editors.

      Language models are impressive, but they are not efficient data retrieval systems. Denny Vrandecic, the founder of Wikidata, has a couple insightful videos about this topic.

      This one talks about knowledge graphs in general, from 2020: https://www.youtube.com/watch?v=Oips1aW738Q

      This one is from last year and is specifically about how you could integrate LLMs with the knowledge graph to greatly increase their accuracy, utility, and efficiency: https://www.youtube.com/watch?v=WqYBx2gB6vA

      I highly recommend that second video. He does a great job laying out what LLMs are efficient for, what more conventional methods are efficient for, and how you can integrate them to get the best of both worlds.