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I'd have liked more explanation of the actual solutions that programmers used at the time.
It still is? Few engineers could build a good spell checker without external libraries, giving a database of valid words.
Given that spellcheckers are mostly stable tech, I wonder why Google’s spellchecker in Gmail, or even in Chrome in “enhanced” mode, is so bad. Even Microsoft Word, being a local app and everything, manages to work better than Google’s cloud-based offerings. That’s surely evidence that progress is far from being linear.
I'd have liked more explanation of the actual solutions that programmers used at the time.
For the basic word list, possibly tries ( https://en.wikipedia.org/wiki/Trie ), DAGs ( https://en.wikipedia.org/wiki/Directed_acyclic_graph#Data_co... ), or Bloom filter ( https://en.wikipedia.org/wiki/Bloom_filter )
In my opinion, this is where ML/AL local model, no internet required, would be the most beneficial today.
Even had to use a search engine with, "thoughts and opi" because I forgot how to spell opinion before posting this. In application spell checker was 100% useless with assisting me.
I often find myself butchering the spelling of a word in a way where the correct answer is obvious to human eyes (probably because of "typoglycemia" [1]) and an AI LLM immediately understands what I meant to say, but Apple's spellcheck has "No Guesses Found."
Does anyone else have this experience?