It’s a bit of a weird shower thought but basically I was wondering hypothetical if it would be possible to take data from a social media site like Reddit and map the most commonly used words starting at 1 and use a separate application to translate it back and forth.
So if the word “because” was number 100 it would store the value with three characters instead of seven.
There could also be additions for suffixes so “gardening” could be 5000+1 or a word like “hoped” could be 2000-2 because the “e” is already present.
Would this result in any kind of space savings if you were using larger amounts of text like a book series?
To get the data, search “frequency list (of English)”.
Computers are quick enough nowadays its better to just count how many of each word in a block, then use it as indices. Saves from having a dictionary the size of the English language for decompression