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 margitsbairn in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
margitsbairn (0) - 2 freq
afairbairn (5) - 2 freq
marionmain (5) - 3 freq
marlabbaird (5) - 1 freq
marieclaire (5) - 1 freq
fairbairn (5) - 7 freq
erikasbairn (5) - 1 freq
maintain (6) - 16 freq
targettin (6) - 1 freq
craigspain (6) - 3 freq
alisdair (6) - 1 freq
argiefiein (6) - 1 freq
arisan (6) - 1 freq
margit (6) - 32 freq
alistair (6) - 22 freq
martin (6) - 47 freq
carstairs (6) - 1 freq
graunbairn (6) - 4 freq
arbitrar (6) - 1 freq
marginal (6) - 2 freq
furgittin (6) - 3 freq
arisin (6) - 1 freq
hertsair (6) - 3 freq
hairtsair (6) - 2 freq
grandbairn (6) - 1 freq
margitsbairn (0) - 2 freq
erikasbairn (8) - 1 freq
marlabbaird (9) - 1 freq
fairbairn (9) - 7 freq
afairbairn (9) - 2 freq
erlendsbairn (10) - 1 freq
artisan (10) - 3 freq
markgibson (10) - 3 freq
magigibson (10) - 6 freq
partisan (10) - 3 freq
pig-bairn (10) - 2 freq
margin (10) - 3 freq
martian (10) - 7 freq
merrillbarr (10) - 1 freq
firgitin (10) - 1 freq
marginalisin (10) - 1 freq
markbarry (10) - 1 freq
first-born (10) - 4 freq
margit's (10) - 4 freq
forgethern (10) - 1 freq
margarine (10) - 10 freq
merterin (10) - 1 freq
hairtburn (10) - 1 freq
craigyburn (10) - 1 freq
firstborn (10) - 3 freq
SoundEx code - M623
merkets - 3 freq
merched - 10 freq
merkt - 5 freq
merked - 16 freq
marched - 15 freq
mairked - 3 freq
mirk-daurk - 2 freq
markit - 18 freq
marked - 28 freq
merkit - 31 freq
maircht - 3 freq
mercedes - 5 freq
market - 51 freq
mairched - 48 freq
merkat - 6 freq
markt - 5 freq
mairchd - 1 freq
mairket - 20 freq
merket - 7 freq
marchit - 2 freq
merseheid - 2 freq
merkstanes - 1 freq
mersday - 1 freq
markatt - 1 freq
margit - 32 freq
mercat - 67 freq
markd - 1 freq
mairchit - 5 freq
merseedies - 1 freq
merest - 6 freq
marketable - 1 freq
marked-up - 1 freq
market's - 1 freq
mairket' - 1 freq
marst - 1 freq
marcht - 1 freq
mercatsteid - 1 freq
mairkets - 3 freq
mairketplace - 1 freq
mark't - 1 freq
'mercado - 1 freq
markets - 3 freq
mairkit - 4 freq
merged - 2 freq
mercats - 12 freq
mercatin - 4 freq
mercatplece - 1 freq
margit's - 4 freq
margitsbairn - 2 freq
mirk-dim - 1 freq
meerkit - 1 freq
mærkit - 3 freq
meercets - 6 freq
meercetin - 6 freq
meerceted - 1 freq
meercet - 1 freq
murraygait - 1 freq
mercatplace - 1 freq
mercat-place - 1 freq
marstlins - 1 freq
mairchet - 1 freq
mrc-scotland - 1 freq
merkedlie - 1 freq
marget - 6 freq
merkitly - 1 freq
mercat-mindit - 1 freq
maerkets - 2 freq
€˜mercat - 1 freq
merchit - 1 freq
merkid - 2 freq
markjawatkins - 1 freq
markstirton - 3 freq
mrsstewart - 10 freq
markthompstuff - 48 freq
markthompdesign - 17 freq
mrstephenoregan - 1 freq
marktait - 1 freq
marketing - 1 freq
marcgeddes - 1 freq
markdrakeford - 1 freq
marktracey - 1 freq
mrstrellis - 1 freq
markthomasinfo - 1 freq
mariewistuba - 1 freq
markduffy - 1 freq
mariastadnicka - 2 freq
marcdavenant - 1 freq
MetaPhone code - MRJTSBRN
margitsbairn - 2 freq
MARGITSBAIRN
Time to execute Levenshtein function - 0.237666 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 - 0.431525 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 - 0.027487 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 - 0.038431 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 - 0.000851 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.