If I understand correctly from the paper what qualifies as an edit distance of 1 is pure Levenshtein distance-1 right?
Just curious because while the edit-1 space can be fairly big, I’d assume all edits have very different probabilities. So the squatted domains probably skew to a higher probability edit. By that I mean mostly keyboard edit typos, eg on a phone: the “cwt” typo is more likely than “cpt” for “cat” because of an and w keyboard proximity. Wonder what the squatting rate is when you filter for edit within one key stroke for example (only really change the add and replace types of edits, not delete or swap)
Just curious because while the edit-1 space can be fairly big, I’d assume all edits have very different probabilities. So the squatted domains probably skew to a higher probability edit. By that I mean mostly keyboard edit typos, eg on a phone: the “cwt” typo is more likely than “cpt” for “cat” because of an and w keyboard proximity. Wonder what the squatting rate is when you filter for edit within one key stroke for example (only really change the add and replace types of edits, not delete or swap)