A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to mairketplace in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
mairketplace (0) - 1 freq
wark-place (4) - 1 freq
mercatplace (4) - 1 freq
airieplane (4) - 1 freq
warkplace (4) - 5 freq
fireplace (4) - 25 freq
onieplace (5) - 3 freq
mercat-place (5) - 1 freq
maisterplans (5) - 1 freq
fireplaces (5) - 1 freq
air-space (5) - 1 freq
maisterpiece (5) - 7 freq
mairket' (5) - 1 freq
wirkplaces (5) - 1 freq
airaplane (5) - 2 freq
mercatplece (5) - 1 freq
warkplaces (5) - 1 freq
marketable (5) - 1 freq
replace (5) - 21 freq
workplace (5) - 2 freq
mairket (5) - 20 freq
maiden-lane (5) - 1 freq
marktracey (5) - 1 freq
naeplace (5) - 2 freq
mairkets (5) - 3 freq
mairketplace (0) - 1 freq
mercatplace (5) - 1 freq
warkplace (6) - 5 freq
wark-place (6) - 1 freq
mercatplece (6) - 1 freq
marktracey (7) - 1 freq
workplace (7) - 2 freq
fireplace (7) - 25 freq
mercat-place (7) - 1 freq
marketable (7) - 1 freq
warkplaces (8) - 1 freq
mairkets (8) - 3 freq
mairket (8) - 20 freq
replace (8) - 21 freq
birthplace (8) - 2 freq
airieplane (8) - 1 freq
mairket' (8) - 1 freq
wirkplaces (8) - 1 freq
mairkit (9) - 4 freq
ivryplace (9) - 1 freq
market's (9) - 1 freq
mirk-bleck (9) - 1 freq
maerkets (9) - 2 freq
market (9) - 51 freq
markets (9) - 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 - 32 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
mirk-dim - 2 freq
mirkit - 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
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 - MRKTPLS
mairketplace - 1 freq
mercatplece - 1 freq
mercatplace - 1 freq
mercat-place - 1 freq
MAIRKETPLACE
Time to execute Levenshtein function - 0.236741 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 - 0.411640 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 - 0.030698 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 - 0.042071 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 - 0.001158 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.