Apertium VS FollowUpThen

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 / 9 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 / almost 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: about 3 years ago

I do a lot of volunteering with skills matching nonprofits. These are usually one hour "ask the expert" or 1-4 week projects. Most nonprofits have very little experience in project work so you have to remind them to do things. I use followupthen.com with my emails to make sure I don't lose track of them. The free level of FUT.com does all I want. Send a note to someone with... Source: almost 2 years ago

📎52. followupthen.com: Setup quick reminders via email itself. Source: over 2 years ago