A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to merriet in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
merriet (0) - 39 freq
murriet (1) - 1 freq
merrier (1) - 4 freq
merrit (1) - 6 freq
herriet (1) - 4 freq
merried (1) - 14 freq
marriet (1) - 15 freq
ferriet (1) - 1 freq
merrie (1) - 7 freq
merries (1) - 6 freq
marrit (2) - 1 freq
merket (2) - 7 freq
ferried (2) - 2 freq
merrily (2) - 5 freq
hurriet (2) - 4 freq
ferries (2) - 5 freq
kerried (2) - 23 freq
terrier (2) - 13 freq
harriet (2) - 1 freq
kerrie (2) - 1 freq
kerrien (2) - 3 freq
maerried (2) - 1 freq
merriege (2) - 5 freq
herrit (2) - 1 freq
ferret (2) - 6 freq
merriet (0) - 39 freq
marriet (1) - 15 freq
merrit (1) - 6 freq
murriet (1) - 1 freq
marrit (2) - 1 freq
mairriet (2) - 55 freq
marriot (2) - 1 freq
merrie (2) - 7 freq
merries (2) - 6 freq
merrier (2) - 4 freq
merried (2) - 14 freq
ferriet (2) - 1 freq
herriet (2) - 4 freq
mirrie (3) - 7 freq
worriet (3) - 9 freq
unmerriet (3) - 3 freq
married (3) - 30 freq
lerrit (3) - 2 freq
meercet (3) - 1 freq
wirriet (3) - 3 freq
merrin (3) - 1 freq
kerrit (3) - 1 freq
muirret (3) - 1 freq
mairrit (3) - 59 freq
burriet (3) - 3 freq
SoundEx code - M630
mairrit - 59 freq
mort - 3 freq
mairried - 40 freq
mairiet - 4 freq
married - 30 freq
mairriet - 55 freq
marred - 5 freq
mired - 2 freq
mirth - 12 freq
merit - 17 freq
moored - 2 freq
merriet - 39 freq
mairret - 17 freq
marta - 1 freq
'mairrit - 1 freq
mart - 38 freq
merried - 14 freq
mird - 6 freq
mardi - 2 freq
martha - 7 freq
mairied - 10 freq
mairie't - 1 freq
moort - 4 freq
mayritt - 1 freq
mairead - 6 freq
mairit - 11 freq
myriad - 11 freq
mairt - 5 freq
marriet - 15 freq
merde - 1 freq
mairtha - 3 freq
muirret - 1 freq
moorit - 8 freq
merrried - 1 freq
mert - 1 freq
mereat - 1 freq
murdo - 18 freq
merrit - 6 freq
murriet - 1 freq
marrit - 1 freq
marit - 1 freq
maerried - 1 freq
marriot - 1 freq
moretti - 1 freq
morde - 1 freq
merida - 1 freq
muirhead - 1 freq
MetaPhone code - MRT
mairrit - 59 freq
mort - 3 freq
mairried - 40 freq
mairiet - 4 freq
married - 30 freq
mairriet - 55 freq
marred - 5 freq
mired - 2 freq
merit - 17 freq
moored - 2 freq
merriet - 39 freq
mairret - 17 freq
marta - 1 freq
'mairrit - 1 freq
mart - 38 freq
merried - 14 freq
mird - 6 freq
mardi - 2 freq
mairied - 10 freq
mairie't - 1 freq
moort - 4 freq
mayritt - 1 freq
mairead - 6 freq
mairit - 11 freq
myriad - 11 freq
mairt - 5 freq
marriet - 15 freq
merde - 1 freq
muirret - 1 freq
moorit - 8 freq
merrried - 1 freq
mert - 1 freq
mereat - 1 freq
murdo - 18 freq
merrit - 6 freq
murriet - 1 freq
marrit - 1 freq
marit - 1 freq
maerried - 1 freq
marriot - 1 freq
moretti - 1 freq
morde - 1 freq
merida - 1 freq
MERRIET
Time to execute Levenshtein function - 0.252794 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 - 0.537613 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 - 0.029124 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 - 0.037056 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 - 0.000874 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.