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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
Google Translate - Google's free service instantly translates words, phrases, and web pages between English and over 100 other languages.
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Microsoft Translator - Microsoft Translator is your door to a wider world.
PronounceItRight - PronounceItRight, establishes order in the huge phonetic mess of global communications.
DeepL Translator - DeepL Translator is a machine translator that currently supports 42 language combinations.
Howjsay - Pronounce words correctly with the world’s largest English pronouncing dictionary.