Levenshtein | Double Levenshtein | SoundEx | MetaPhone | Manually curated |
---|---|---|---|---|
wattercress (0) - 2 freq watterpreef (3) - 1 freq watterfaals (4) - 1 freq watterproof (4) - 5 freq wattergaws (4) - 1 freq watersheds (4) - 1 freq waitress (4) - 8 freq watter-draps (4) - 1 freq watterwirks (4) - 2 freq wasterners (4) - 1 freq watterbend (4) - 1 freq wattergates (4) - 1 freq watterwheels (4) - 1 freq watter-flees (4) - 1 freq parterres (4) - 1 freq watters (4) - 84 freq watterie (4) - 8 freq bitterness (4) - 6 freq watter''s (4) - 2 freq watter's (4) - 27 freq mattress (4) - 18 freq watter-well (4) - 1 freq watterfront (4) - 1 freq batteries (4) - 8 freq watterins (4) - 1 freq |
wattercress (0) - 2 freq watterwirks (6) - 2 freq watterpreef (6) - 1 freq mattress (7) - 18 freq watter''s (7) - 2 freq bitterness (7) - 6 freq watter's (7) - 27 freq wattercolours (7) - 1 freq watter-craw's (7) - 1 freq watter-craw (7) - 4 freq watterins (7) - 1 freq watter-flees (7) - 1 freq watterfront (7) - 1 freq watters (7) - 84 freq waitress (7) - 8 freq wattergaws (7) - 1 freq watterproof (7) - 5 freq watterfaals (7) - 1 freq wasterners (7) - 1 freq watter-draps (7) - 1 freq watterwheels (7) - 1 freq wattergates (7) - 1 freq ettercaps (8) - 4 freq wattermark (8) - 1 freq wattersports (8) - 1 freq |
SoundEx code - W362 watter-craw's - 1 freq watter-craw - 4 freq watters - 84 freq widd-wark - 1 freq waters - 18 freq watter's - 27 freq 'waiters - 1 freq widworkin - 2 freq whitterick - 7 freq water's - 4 freq widdershins - 10 freq witries - 2 freq wather's - 2 freq wattergaw - 9 freq weather's - 24 freq watter''s - 2 freq wiederschauen - 1 freq whitreck - 1 freq watter-side - 2 freq waether's - 2 freq watergaw - 12 freq waterside - 3 freq wutries - 1 freq wither's - 1 freq w'athers - 2 freq w'ather's - 2 freq whautr's - 4 freq waiters - 8 freq watercolour - 2 freq watter-jug - 3 freq withers - 5 freq wattérs - 4 freq whutricks - 1 freq whutrick - 2 freq waitress - 8 freq waiter's - 1 freq waitresses - 2 freq waaters - 4 freq waithercock' - 1 freq watersheds - 1 freq wattèr's - 1 freq waterstone's - 6 freq waiters's - 1 freq waders - 4 freq waitressing - 1 freq wattercress - 2 freq wattir's - 1 freq whittericks - 3 freq watergaws - 2 freq wattercolours - 1 freq wateries - 1 freq widdirs - 1 freq water-supply - 1 freq watterside - 5 freq watergrace - 1 freq wedder-cocks - 1 freq weathers - 2 freq water-gangs - 1 freq wadder's - 2 freq watergaw-kiltit - 1 freq watter-cairtie - 1 freq wattersports - 1 freq whittrick - 1 freq wuidwark - 1 freq withershins - 5 freq watter-joug - 2 freq wathers - 1 freq waatir's - 1 freq wattir-syde - 2 freq wattirs - 2 freq wattir-gaws - 1 freq widwork - 1 freq waithers - 1 freq wather-wise - 1 freq widders - 2 freq waittergate - 13 freq waitter-gate - 2 freq waitergate - 2 freq waitters - 4 freq waiter-shed - 1 freq whitriggs - 1 freq wattergaws - 1 freq weather-hackit - 1 freq wattergates - 1 freq waterstones - 4 freq wetherspoons - 1 freq waitrose - 3 freq waitros - 1 freq whodares - 2 freq watershed - 1 freq widdwark - 1 freq weatherchannel - 1 freq weathercee - 1 freq |
MetaPhone code - WTRKRS watter-craw's - 1 freq wattercress - 2 freq watergrace - 1 freq |
WATTERCRESS |
Time to execute Levenshtein function - 0.206811 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 - 0.410818 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 - 0.027455 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 - 0.038127 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 - 0.000789 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. |