Levenshtein | Double Levenshtein | SoundEx | MetaPhone | Manually curated |
---|---|---|---|---|
sherries (0) - 2 freq cherries (1) - 5 freq herries (1) - 4 freq skerries (1) - 10 freq herrins (2) - 2 freq henries (2) - 1 freq kerries (2) - 8 freq cherrie (2) - 3 freq hurries (2) - 3 freq ferries (2) - 5 freq sorries (2) - 2 freq herrie (2) - 2 freq sperrins (2) - 1 freq cerries (2) - 3 freq herriet (2) - 4 freq herrien (2) - 1 freq sternies (2) - 1 freq chirries (2) - 1 freq jerries (2) - 11 freq merries (2) - 6 freq therties (2) - 1 freq berries (2) - 26 freq skurries (2) - 2 freq scurries (2) - 5 freq shelties (2) - 4 freq |
sherries (0) - 2 freq herries (2) - 4 freq skerries (2) - 10 freq cherries (2) - 5 freq shories (3) - 1 freq shearurs (3) - 1 freq chirries (3) - 1 freq scurries (3) - 5 freq sherrif (3) - 2 freq shearers (3) - 1 freq sorries (3) - 2 freq sharkies (3) - 1 freq shirras (3) - 1 freq skurries (3) - 2 freq hurries (3) - 3 freq sheers (4) - 2 freq sheddies (4) - 1 freq sparraes (4) - 1 freq sterrs (4) - 7 freq sherrene (4) - 1 freq shearer (4) - 4 freq sorraes (4) - 3 freq shires (4) - 1 freq herrs (4) - 1 freq harris (4) - 14 freq |
SoundEx code - S620 serious - 154 freq skreich - 32 freq sark - 124 freq shirras - 1 freq sarks - 17 freq source - 56 freq sairious - 34 freq shriek - 21 freq shrieks - 9 freq series - 89 freq search - 116 freq shark - 21 freq sharks - 9 freq sorrows - 10 freq shooers - 17 freq scaurs - 5 freq screich - 18 freq skerries - 10 freq shores - 21 freq sierra's - 1 freq scarce - 48 freq shrug - 17 freq squares - 17 freq swears - 5 freq serrs - 5 freq scars - 12 freq skraichy - 1 freq skreek - 4 freq soorce - 17 freq screech - 5 freq screws - 22 freq skraich - 13 freq shears - 11 freq scraich - 14 freq scurries - 5 freq skraik - 4 freq sure's - 3 freq scrogs - 4 freq serk - 3 freq scrooge - 8 freq sers - 11 freq sourocks - 3 freq skrogs - 1 freq 'search - 1 freq scours - 4 freq screichie - 3 freq shours - 1 freq surge - 17 freq skreigh - 3 freq skiers - 2 freq shirk - 2 freq sweers - 1 freq scores - 15 freq surks - 1 freq seers - 3 freq skraiks - 1 freq sweirs - 2 freq screechie - 1 freq scairse - 3 freq skurry's - 1 freq scairs - 1 freq scrious - 1 freq scoor's - 1 freq shrugs - 13 freq sorries - 2 freq sourz - 1 freq screes - 1 freq scurry's - 1 freq scourge - 7 freq showers - 8 freq scarrows - 1 freq screch - 4 freq scroag - 1 freq scroaggy - 1 freq shares - 27 freq scares - 5 freq serge - 4 freq sarky - 10 freq squeers - 1 freq scroosh - 1 freq sheers - 2 freq skrek - 4 freq sorras - 6 freq sirs - 6 freq sewers - 5 freq shrews - 2 freq scaur's - 1 freq scoors - 2 freq skriech - 3 freq scraggy - 4 freq serug - 3 freq sairs - 8 freq sores - 3 freq scurj - 1 freq serius - 1 freq shreeks - 1 freq soars - 5 freq sarx - 1 freq skraikie - 1 freq sherrick - 2 freq shrek - 3 freq sairch - 7 freq serious-wye - 4 freq sharg - 2 freq scriech - 3 freq seriouswye - 1 freq sayers - 17 freq sorraes - 3 freq skroos - 3 freq 'scrooge' - 1 freq sirrah's - 1 freq scrows - 1 freq skreks - 2 freq squarego - 1 freq sherries - 2 freq swaars - 1 freq sarah's - 2 freq soorik - 2 freq soorik's - 2 freq skrog - 1 freq scaers - 1 freq scroos - 1 freq sarious - 1 freq serks - 1 freq skaurs - 1 freq skaars - 1 freq scairce - 1 freq seeryis - 2 freq seereez - 1 freq sark's - 1 freq scurrie's - 1 freq seraich - 1 freq skraichie - 3 freq sair's - 2 freq skerrs - 2 freq swarees - 1 freq suir's - 1 freq scroggs - 1 freq soirées - 1 freq shires - 1 freq scurge - 1 freq screigh - 2 freq shair's - 1 freq sours - 1 freq sooriks - 2 freq scraigh - 1 freq sergey - 1 freq scries - 1 freq shears--she - 1 freq saerious - 1 freq shoors - 34 freq soor's - 1 freq sars - 1 freq skurries - 2 freq skairs - 2 freq serss - 1 freq squars - 1 freq skouriss - 1 freq sherks - 2 freq sherk - 1 freq scorchio - 1 freq sergio - 15 freq €˜sergio - 1 freq squarish - 1 freq scraik - 1 freq sewerage - 2 freq scroggie - 1 freq sayrious - 1 freq shoures - 1 freq seirch - 1 freq shoo'ers - 1 freq scroggy - 3 freq scorch - 1 freq syriza - 12 freq €œserious - 1 freq suruchi - 1 freq shargs - 1 freq sirch - 1 freq €˜search - 1 freq seurs - 1 freq “sark” - 1 freq soorage - 1 freq sarahg - 1 freq scrake - 1 freq sruc - 1 freq shories - 1 freq shooors - 1 freq ssrg - 1 freq srks - 1 freq sarchy - 1 freq shouers - 1 freq sara's - 1 freq saorse - 2 freq sharkey - 1 freq sgrgx - 1 freq src - 1 freq sayersy - 1 freq sweeries - 1 freq surhoose - 1 freq |
MetaPhone code - XRS chris - 253 freq shirras - 1 freq chorus - 69 freq cheers - 219 freq shooers - 17 freq chairs - 69 freq shores - 21 freq 'cheers - 3 freq chirries - 1 freq shears - 11 freq shours - 1 freq cherries - 5 freq shares - 27 freq chores - 9 freq chrissy - 9 freq sheers - 2 freq chrissie - 21 freq chris' - 1 freq shrews - 2 freq chairs' - 1 freq cheerios - 5 freq chryse - 5 freq sherries - 2 freq cheirs - 3 freq shires - 1 freq shair's - 1 freq shoors - 34 freq €˜cheers - 4 freq €œcheers - 1 freq chyres - 1 freq shoures - 1 freq shoo'ers - 1 freq chars - 1 freq shories - 1 freq shooors - 1 freq chories - 1 freq shouers - 1 freq |
SHERRIES |
Time to execute Levenshtein function - 0.253066 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 - 0.555751 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 - 0.063362 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 - 0.071786 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 - 0.001165 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. |