Apertium VS Tatoeba

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 / 8 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

OP may I suggest you contribute these to https://tatoeba.org/en/ ? Source: 10 months ago

The reason some of the sentences are a bit weird is that they are from tatoeba it's a great source of sentences translated into different languages :). Source: 12 months ago

Tatoeba: Search for words (either in English or Chinese), and find sentences with those words. Add those words + sentences to your deck. Source: about 1 year ago

And you have to complete the cloze with "jours". The sentences are compiled automatically from Tatoeba[1], the cloze deletion is done on the least-common word[2]. This combines vocabulary with grammar. I didn't like the Clozemaster UI so I wrote a script to make the clozes myself: https://borretti.me/article/building-diy-clozemaster But automatic approaches are not great. Later I asked GPT-4 to make these... - Source: Hacker News / about 1 year ago

Https://tatoeba.org/en - but not so much on the grammatical analysis. I don't know anything that does that. Source: about 1 year ago