| Levenshtein | Double Levenshtein | SoundEx | MetaPhone | Manually curated |
|---|---|---|---|---|
| themsel (0) - 8 freq theimsel (1) - 1 freq theesel (1) - 6 freq thumsel (1) - 1 freq themself (1) - 1 freq thersel (1) - 1 freq themsels (1) - 157 freq these (2) - 1129 freq theses (2) - 4 freq thaimsel (2) - 1 freq chessel (2) - 1 freq thirsel (2) - 5 freq thysel (2) - 1 freq t'ersel (2) - 7 freq hessel (2) - 9 freq themed (2) - 2 freq humsel (2) - 3 freq themes (2) - 22 freq hetsel (2) - 1 freq thimsels (2) - 2 freq theesael (2) - 1 freq t'imsel (2) - 6 freq theme (2) - 39 freq thimel (2) - 4 freq ahimsel (2) - 1 freq |
themsel (0) - 8 freq thumsel (1) - 1 freq theimsel (1) - 1 freq themsels (2) - 157 freq thersel (2) - 1 freq thaimsel (2) - 1 freq theesel (2) - 6 freq themself (2) - 1 freq ahimsel (3) - 1 freq himsel (3) - 863 freq thimel (3) - 4 freq theesael (3) - 1 freq t'imsel (3) - 6 freq thumsels (3) - 7 freq thumsel' (3) - 1 freq thems (3) - 1 freq thimsels (3) - 2 freq theirsel (3) - 5 freq thamsels (3) - 10 freq themes (3) - 22 freq thirsel (3) - 5 freq thysel (3) - 1 freq humsel (3) - 3 freq thamson (4) - 1 freq thums (4) - 1 freq |
SoundEx code - T524 themsels - 157 freq thaimsels - 39 freq tanglit - 1 freq tangl't - 3 freq 'twinkle - 2 freq twinkle - 27 freq twinkle-' - 1 freq twinkle- - 2 freq themsels' - 3 freq twinklin - 15 freq twinkled - 3 freq tinklin - 4 freq tingil - 4 freq themselves - 57 freq tangle - 6 freq twinklt - 1 freq ting-ling - 1 freq tingly - 2 freq tingles - 1 freq tanglet - 1 freq tinsel - 12 freq thamsels - 10 freq ten-shillingland - 1 freq ten-shilling - 1 freq tinglan - 3 freq tinkle - 4 freq tengle - 1 freq tingled - 1 freq tinglin - 7 freq tinkled - 4 freq themsel's - 1 freq tangled - 10 freq thimsail's - 1 freq themsails - 1 freq themsells - 1 freq tingle - 5 freq tonsillitis - 2 freq tonsils - 3 freq teenklin - 1 freq thumselves - 9 freq thumsels - 7 freq thenkless - 1 freq tinkler - 2 freq time-silvered - 1 freq tang'l - 2 freq tingilt - 1 freq t'imsel - 6 freq thing-like - 1 freq things'll - 3 freq themseelves - 1 freq thumsel - 1 freq thumsel' - 1 freq themsel - 8 freq tangelt - 2 freq twenklin - 4 freq 'twenkle - 1 freq twenkle - 5 freq t'wenkle - 1 freq twenkle- - 1 freq thimsels - 2 freq thimsels' - 1 freq twenkelt - 1 freq tinklhn - 1 freq themself - 1 freq tncludin - 1 freq theimselves - 1 freq theimsel - 1 freq tonsilitis - 1 freq thankless - 6 freq tinklan - 2 freq thumsaels - 2 freq tangles - 3 freq tencel - 1 freq tommys'll - 1 freq twinklan - 4 freq tinkelt - 1 freq tinsal - 4 freq tingling - 1 freq tinkling - 1 freq tynsale - 1 freq thing'll - 2 freq thaimsells - 3 freq tinsellin - 1 freq tinsell - 1 freq tinklarians - 1 freq tinklers - 2 freq tanglt - 1 freq thaimsel - 1 freq thaimselves - 1 freq twinkly-toed - 1 freq tensely - 2 freq tinglin' - 1 freq tenglishsport - 8 freq themackwalks - 3 freq theianchalmers - 1 freq tomsheldrickitv - 1 freq thinglink - 1 freq tmacailpein - 1 freq |
MetaPhone code - 0MSL thumsel - 1 freq thumsel' - 1 freq themsel - 8 freq theimsel - 1 freq thaimsel - 1 freq |
THEMSEL |
| Time to execute Levenshtein function - 0.198740 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 - 0.357639 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 - 0.036633 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 - 0.037006 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 - 0.000912 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. |