dict.cc VS Apertium

Anyway, dict.cc says sich anhören is nur unpersönlich. So, I guess I can't use it to describe people? Like, Sie hört sich seltsam an would be incorrect? Source: 6 months ago

So, I looked up excitement on dict.cc. It gave me...die Aufregung, die Begeisterung, die Spannung, die Erregung...which of these words would you all use for the general concept of "excitement?". Source: 7 months ago

In Scandinavian (Swedish for example), verb loanwords end in '-era', while in the very similar German language, verb loanwords end in '-ieren' (eg, das Auto zu parkieren). But you see, until a spelling reform in approx. 1907, the spelling was '-iren'. LEO doesn't have 'assentieren', but dict.cc does. However, these two Websites I named are really wordlists, not dictionaries. Source: 10 months ago

You can use the vocab trainer on dict.cc. Source: 12 months ago

I thought this word would also exist in English, maybe with a little difference at best. My translator (dict.cc) recommends autarkic, autarkical (both with 'k', surprisingly) and autarchic. But my online spellchecker here underlines all of them with a red line. Source: 12 months ago

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