This is very cool, looking forward to it! I've been doing the same thing with Spanish Wikipedia articles for a while, using a few lines of Bash + Regex. I was using Apertium for it. https://apertium.org/ It's definitely worse than most ML-based solutions, but it works reliably and fast; you can run it entirely offline. With Spanish translations, the main problem I was facing is lack of vocabulary, so I created - Source: Hacker News / 10 months ago

I used to keep track of the state of machine translation some years back. I think the way you measure the success of an automated translation is edit distance, i.e. How many manual edits you need to make to a translated text before you reach some acceptable state. I suppose it's somewhat subjective, but it is possible to construct a benchmark and allow for multiple correct results. The best resources I knew back... - Source: Hacker News / about 2 years ago

Apertium is one of them. We make open-source rule-based machine translation systems, and our core tools are in C++. A few of our proposed ideas involve modifying those C++ tools with new features or improvements to existing features. Source: over 3 years ago

I can’t believe trillian is still a thing. What a blast from the past. Thanks for that. Source: over 1 year ago

Yeah I think that was a long time ago. These days I think it's just another IM: https://trillian.im/. Source: over 1 year ago

You might look at https://trillian.im but I think corporate changes have harmed them as well. Source: over 1 year ago

Two decades ago I used trillian and mirianda for all the popular messaging protocols, https://trillian.im/. - Source: Hacker News / over 2 years ago

Trillian supports XMPP and seems like it would meet your requirements. Source: almost 3 years ago