Apertium VS Howjsay

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

Cool tip: Howjsay.com provides an audio file with the pronunciation of any word in English, complete with both American and British pronunciation. Source: over 1 year ago

I search their website to see if they have been on other podcasts, or check out the voice over friend https://howjsay.com/. Source: almost 2 years ago

There are resources such as https://howjsay.com/, where you can input the words, and they sound out the words. I think Google does this now; however, it did give me the independence to read on my own without feeling embarrassed that I couldn't sound out the words;. Source: about 2 years ago

I use https://howjsay.com/ to learn pronunciation. Source: about 2 years ago

I am starting pharmacy in a few weeks; I want to be somewhat prepared. I am planning on using https://howjsay.com/ to pronounce. Source: over 2 years ago