mirror of
https://github.com/Bubberstation/Bubberstation.git
synced 2026-06-23 07:05:13 +01:00
MrMelbert
b62ee3c6a9
## About The Pull Request So, partial language understanding scaled the % chance to translate something based on the ranking in the most common words list But the ranking isn't real the list is in alphabetical order So, adds a new list of the 1000 most common words sorted by *frequency*, which I found on a random github page. Is it scientifically found? I have no idea, but it looks good enough to work. This list doesn't share the same 1000 words as our existing one, so I added all the differing words (amounted to ~400) to the original list. So now partial language understanding correctly translates words based on frequency. ## Changelog 🆑 Melbert fix: Partial language understanding now correctly has a higher chance of translating more common words. qol: Aphasia got slightly more words to work with /🆑