Levenshtein | Double Levenshtein | SoundEx | MetaPhone | Manually curated |
---|---|---|---|---|
mail (0) - 54 freq ail (1) - 7 freq dail (1) - 7 freq fail (1) - 54 freq kail (1) - 42 freq maiz (1) - 5 freq mair (1) - 6172 freq mait (1) - 84 freq vail (1) - 2 freq gail (1) - 3 freq email (1) - 51 freq wail (1) - 9 freq jail (1) - 49 freq bail (1) - 14 freq maik (1) - 27 freq mai (1) - 4 freq tail (1) - 265 freq mails (1) - 3 freq maim (1) - 7 freq maol (1) - 1 freq mael (1) - 2 freq maid (1) - 94 freq nail (1) - 46 freq aail (1) - 1 freq hail (1) - 265 freq |
mail (0) - 54 freq mael (1) - 2 freq maol (1) - 1 freq email (1) - 51 freq mal (1) - 2 freq moil (1) - 1 freq mily (2) - 2 freq mall (2) - 4 freq maif (2) - 1 freq pail (2) - 50 freq marl (2) - 1 freq sail (2) - 100 freq maiv (2) - 1 freq main (2) - 289 freq mul (2) - 2 freq mool (2) - 3 freq mayol (2) - 1 freq mel (2) - 4 freq ml (2) - 12 freq mile (2) - 278 freq milo (2) - 1 freq meel (2) - 3 freq male (2) - 59 freq moul (2) - 1 freq mailie (2) - 3 freq |
SoundEx code - M400 malawi - 5 freq meal - 130 freq mool - 3 freq mile - 278 freq mull - 35 freq male - 59 freq mill - 82 freq mell - 23 freq millie - 5 freq mealy - 5 freq moolah - 1 freq mollie - 16 freq mail - 54 freq moyle - 6 freq melee - 3 freq mle - 1 freq mole - 11 freq mal - 2 freq meyle - 1 freq meel - 3 freq myle - 15 freq mellow - 4 freq mily - 2 freq mel - 4 freq mealie - 9 freq mille - 1 freq m'll - 2 freq mall - 4 freq mule - 4 freq molly - 10 freq ma'll - 1 freq melea - 3 freq mallae - 4 freq moil - 1 freq mál - 1 freq malaya - 3 freq ml - 12 freq myll - 2 freq mally - 1 freq 'mole' - 1 freq me'll - 4 freq millya - 1 freq mahal - 3 freq mêlée - 1 freq mellie - 2 freq meal- - 1 freq mailie - 3 freq moo'll - 1 freq mellay - 1 freq mele - 1 freq mul - 2 freq €˜male - 1 freq maw'ill - 1 freq Émile - 1 freq meelie - 3 freq mael - 2 freq malay - 1 freq -mile - 1 freq mayol - 1 freq maol - 1 freq milieu - 1 freq mela - 3 freq milo - 1 freq mnl - 1 freq miuli - 1 freq molloy - 4 freq mla - 1 freq mula - 1 freq mlle - 1 freq mml - 1 freq maalie - 7 freq moul - 1 freq mlih - 1 freq milla - 1 freq myla - 1 freq |
MetaPhone code - ML meal - 130 freq mool - 3 freq mile - 278 freq mull - 35 freq male - 59 freq mill - 82 freq mell - 23 freq millie - 5 freq mealy - 5 freq moolah - 1 freq mollie - 16 freq mail - 54 freq moyle - 6 freq melee - 3 freq mle - 1 freq mole - 11 freq mal - 2 freq meyle - 1 freq meel - 3 freq myle - 15 freq mellow - 4 freq mily - 2 freq mel - 4 freq mealie - 9 freq mille - 1 freq m'll - 2 freq mall - 4 freq mule - 4 freq molly - 10 freq ma'll - 1 freq melea - 3 freq mallae - 4 freq moil - 1 freq mál - 1 freq ml - 12 freq myll - 2 freq mally - 1 freq 'mole' - 1 freq me'll - 4 freq hæmlie - 1 freq mêlée - 1 freq mellie - 2 freq meal- - 1 freq mailie - 3 freq moo'll - 1 freq mellay - 1 freq mele - 1 freq mul - 2 freq €˜male - 1 freq maw'ill - 1 freq Émile - 1 freq meelie - 3 freq mael - 2 freq malay - 1 freq -mile - 1 freq mbl - 1 freq maol - 1 freq milieu - 1 freq mela - 3 freq milo - 1 freq miuli - 1 freq molloy - 4 freq mla - 1 freq mula - 1 freq mlle - 1 freq mml - 1 freq maalie - 7 freq moul - 1 freq mlih - 1 freq milla - 1 freq myla - 1 freq |
MAIL |
Time to execute Levenshtein function - 0.305572 milliseconds The Levenshtein distance is the number of characters you have to replace, insert or delete to transform one word into another, its useful for detecting typos and alternative spellings |
Time to execute Double Levenshtein function - 0.539096 milliseconds In a stroke of genius, this runs the Levenshtein function twice, once without vowels and adds the distance together, giving double weight to consonants. |
Time to execute SoundEx function - 0.063741 milliseconds Soundex is a phonetic algorithm for indexing names by sound, as pronounced in English. The goal is for homophones to be encoded to the same representation so that they can be matched despite minor differences in spelling. |
Time to execute MetaPhone function - 0.036923 milliseconds Metaphone is a phonetic algorithm, published by Lawrence Philips in 1990, for indexing words by their English pronunciation.[1] It fundamentally improves on the Soundex algorithm by using information about variations and inconsistencies in English spelling and pronunciation to produce a more accurate encoding, which does a better job of matching words and names which sound similar. |
Time to execute Manually curated function - 0.000891 milliseconds Manual Curation uses a lookup table / lexicon which has been created by hand which links words to their lemmas, and includes obvious typos and spelling variations. Not all words are covered. |