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 mardi in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
mardi (0) - 2 freq
cardi (1) - 2 freq
madi (1) - 1 freq
mandi (1) - 1 freq
marv (2) - 3 freq
macd (2) - 12 freq
bardin (2) - 1 freq
marts (2) - 3 freq
garde (2) - 1 freq
marnie (2) - 3 freq
lardit (2) - 1 freq
marris (2) - 2 freq
mird (2) - 6 freq
maud (2) - 10 freq
markit (2) - 18 freq
marg (2) - 2 freq
marye (2) - 1 freq
mareh (2) - 3 freq
cardin (2) - 2 freq
marco (2) - 5 freq
audi (2) - 1 freq
marta (2) - 1 freq
marks (2) - 44 freq
marsh (2) - 8 freq
arni (2) - 3 freq
mardi (0) - 2 freq
merde (2) - 1 freq
morde (2) - 1 freq
mird (2) - 6 freq
murdo (2) - 18 freq
cardi (2) - 2 freq
mandi (2) - 1 freq
madi (2) - 1 freq
merci (3) - 1 freq
mad (3) - 345 freq
bard (3) - 57 freq
lard (3) - 4 freq
mirdit (3) - 1 freq
maria (3) - 8 freq
mar (3) - 16 freq
mundi (3) - 2 freq
maide (3) - 46 freq
maddo (3) - 1 freq
cardio (3) - 1 freq
marys (3) - 3 freq
mares (3) - 2 freq
midi (3) - 1 freq
margo (3) - 1 freq
marcie (3) - 1 freq
verdi (3) - 1 freq
SoundEx code - M630
mairrit - 59 freq
mort - 3 freq
mairried - 40 freq
mairiet - 4 freq
married - 29 freq
mairriet - 55 freq
marred - 5 freq
mired - 2 freq
mirth - 10 freq
merit - 16 freq
moored - 2 freq
merriet - 39 freq
mairret - 17 freq
marta - 1 freq
'mairrit - 1 freq
mart - 25 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
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
mairead - 5 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 - 29 freq
mairriet - 55 freq
marred - 5 freq
mired - 2 freq
merit - 16 freq
moored - 2 freq
merriet - 39 freq
mairret - 17 freq
marta - 1 freq
'mairrit - 1 freq
mart - 25 freq
merried - 14 freq
mird - 6 freq
mardi - 2 freq
mairied - 10 freq
mairie't - 1 freq
moort - 4 freq
mayritt - 1 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
mairead - 5 freq
maerried - 1 freq
marriot - 1 freq
moretti - 1 freq
morde - 1 freq
merida - 1 freq
MARDI
Time to execute Levenshtein function - 0.215291 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 - 0.375977 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 - 0.030444 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 - 0.037504 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 - 0.000812 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.