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Comment by woadwarrior01

8 months ago

There's also Normalized Google Distance (a distance metric using the number of search results as a proxy), which can be used for text classification.

https://en.wikipedia.org/wiki/Normalized_Google_distance

My advisor in grad school had me implement a "typo distance" metric on strings once (how many single-key displacements for a typist using home row touch-typing to get from string A to string B), which seemed kind of cool. I never did find out what if anything she wanted to use it for.

  • Probably for spell checking! If you encounter an unknown word, you can rank candidate replacements by your advisor's metric.