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 mrstephenoregan in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
mrstephenoregan (0) - 1 freq
stephenhannan (6) - 2 freq
stephennolan (6) - 1 freq
stephenson (7) - 3 freq
stecheran (7) - 1 freq
phenomenal (8) - 1 freq
shepherdin (8) - 1 freq
mither-gab (8) - 1 freq
stephanie (8) - 7 freq
masterplan (8) - 2 freq
stephane (8) - 1 freq
phenomena (8) - 8 freq
stephenjardine (8) - 2 freq
steekienolan (8) - 1 freq
stephentweeted (8) - 1 freq
ratherryan (8) - 1 freq
step-wean (8) - 10 freq
stephjohn (8) - 1 freq
stacheran (8) - 1 freq
stephenmainds (8) - 1 freq
stephenboddie (8) - 1 freq
stevenccoleman (8) - 2 freq
steereen (8) - 2 freq
stephen's (8) - 3 freq
metaphoriecal (8) - 1 freq
mrstephenoregan (0) - 1 freq
stephennolan (10) - 1 freq
stephenhannan (11) - 2 freq
stephenson (11) - 3 freq
stephenjardine (12) - 2 freq
stecheran (12) - 1 freq
stephen's (13) - 3 freq
metaphoriecal (13) - 1 freq
stephenboddie (13) - 1 freq
stephjohn (13) - 1 freq
stephen (13) - 37 freq
murtherin (13) - 4 freq
ratherryan (13) - 1 freq
metaphorical (13) - 5 freq
carsethorn (13) - 5 freq
stacheran (13) - 1 freq
stephanie (13) - 7 freq
shepherdin (13) - 1 freq
aristophanes (13) - 3 freq
stephane (13) - 1 freq
mitherin (14) - 7 freq
southeran (14) - 1 freq
kirsteencameron (14) - 2 freq
brethern (14) - 3 freq
musterin (14) - 2 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 - MRSTFNRK
MRSTEPHENOREGAN
Time to execute Levenshtein function - 0.224727 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 - 0.385292 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 - 0.028052 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 - 0.038272 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 - 0.001171 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.