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Common tokens: ``[pli, lic, ica, ati, tio, ion]`; that's enough to get a good score!
When
We could do a "OR" between the current search criteria and the new "fuzzy" ones, but this means that, when searching without typos, we will return a long tail of potentially irrelevant results.
A perhaps better solution would be to run the search without typo support first, and only if we notice that search doesn't match anything, ignore it, then run another search with typo support (more fuzzy), then return the results of that second search.
I have an enhancement proposal to be permissive about typos when searching.
Here is an example: https://quarkus.io/guides/#q=aplication gives
Sorry, no guides matched your search. Please try again.
Same for https://quarkus.io/guides/#q=Configuring+your+application vs. https://quarkus.io/guides/#q=Configuring+your+aplication
Is there a way to tolerate typos because they are quite common, especially for non-native speakers?
Some approximation (I think there was something for it in HS), maybe there is an existing mapping for common English misspelled words, ...
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