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

*Defined/recognised by a more reliable source than wordnik.com. Source: over 1 year ago

"The Latin temperament is “Hot,” wide eyed and accentuated with drama, which makes pouring a cup of coffee feel like a grand finale" - This is the current example sentence for the use of the word temperament at wordnik.com RIGHT NOW - https://www.wordnik.com/words/temperament. Source: almost 2 years ago

I've found some words on wordnik.com that weren't in my regular dictionary, so I'm using it if they aren't in there, but I really use TheFreeDictionary.com for everyday use. It has a pretty good thesaurus plus legal and medical stuff too. Source: almost 2 years ago