A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example sonsie

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Similar words to crispmermaid in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
crispmermaid (0) - 1 freq
mermaid (5) - 3 freq
bummermaid (5) - 1 freq
bridesmaid (5) - 1 freq
scripteral (6) - 1 freq
fishermin (6) - 2 freq
chimera (6) - 2 freq
cropmerks (6) - 1 freq
gressmercat (6) - 3 freq
crispbake (6) - 1 freq
clipperin (6) - 2 freq
priservin (6) - 1 freq
hoosemaid (6) - 7 freq
nivermair (6) - 1 freq
fishermans (6) - 1 freq
uppermair (6) - 4 freq
craigmead (6) - 1 freq
crispies (6) - 2 freq
tippertaed (6) - 1 freq
whisperan (6) - 5 freq
crimped (6) - 1 freq
crimmed (6) - 1 freq
dispersal (6) - 1 freq
britherhuid (6) - 1 freq
crippled (6) - 2 freq
crispmermaid (0) - 1 freq
crimmed (9) - 1 freq
prospered (9) - 1 freq
bummermaid (9) - 1 freq
mermaid (9) - 3 freq
cropmerks (9) - 1 freq
crossword (10) - 4 freq
crosswird (10) - 1 freq
grassmerkit (10) - 4 freq
crippled (10) - 2 freq
craimerie (10) - 1 freq
prismed (10) - 2 freq
grassmercat (10) - 1 freq
risped (10) - 1 freq
cresseid (10) - 2 freq
comperand (10) - 1 freq
someroad (10) - 1 freq
conspired (10) - 1 freq
dispersed (10) - 4 freq
crammed (10) - 7 freq
resprayed (10) - 1 freq
whispered (10) - 68 freq
craigmead (10) - 1 freq
gressmercat (10) - 3 freq
crispbake (10) - 1 freq
SoundEx code - C621
crisp - 43 freq
crisps - 34 freq
chargeable - 1 freq
crispy - 10 freq
crosbie - 5 freq
crosbie's - 3 freq
crucifixion - 4 freq
crosflats - 1 freq
crossflats - 1 freq
crispies - 2 freq
curraghabellintlea - 1 freq
crucify - 1 freq
crisp-cut - 1 freq
crag-face - 1 freq
correspondit - 1 freq
chairs've - 1 freq
crucyfie - 2 freq
crucyfied - 3 freq
crucyfïxion - 1 freq
carrickfergus - 6 freq
crispinus - 2 freq
chrysippus - 1 freq
crucifee - 2 freq
crucifiet - 4 freq
correspondence - 9 freq
correspondince - 1 freq
cork-filled - 2 freq
crispbake - 1 freq
croass-border - 1 freq
crucifehd - 2 freq
crucifeht - 1 freq
course-'if - 1 freq
cairriage-fu - 1 freq
craze-paitrens - 1 freq
cross-pairty - 6 freq
correspondent' - 1 freq
craigyburn - 1 freq
crucifix - 1 freq
crosby - 1 freq
cross-party - 3 freq
correspondent - 5 freq
correspondents - 2 freq
correspond - 1 freq
corresponds - 2 freq
cross-fertilisation - 1 freq
corresponded - 1 freq
cursive - 2 freq
corrosive - 1 freq
crossover - 1 freq
crossbones - 1 freq
crossbow - 6 freq
crucified - 1 freq
carysfort - 1 freq
chrisfoote - 1 freq
craigfitzsimon - 1 freq
carysabel - 1 freq
craigpettigrew - 1 freq
craigspain - 3 freq
craigbeautyboy - 1 freq
craigcavyleader - 1 freq
craigblackphoto - 4 freq
crossfitgames - 1 freq
crusepat - 3 freq
crooksuprmarket - 1 freq
crossfolds - 1 freq
crispmermaid - 1 freq
chrisgpackham - 1 freq
craigferchef - 1 freq
chrissieburgess - 1 freq
chrisfinnie - 2 freq
chrisscfc - 2 freq
crsbrql - 1 freq
crossfella - 1 freq
MetaPhone code - KRSPMRMT
crispmermaid - 1 freq
CRISPMERMAID
Time to execute Levenshtein function - 0.236952 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 - 0.383235 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 - 0.028376 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 - 0.037453 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 - 0.000869 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.