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 ofzm in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
ofzm (0) - 1 freq
onzm (1) - 1 freq
rzm (2) - 1 freq
oft (2) - 5 freq
fm (2) - 90 freq
ocbm (2) - 1 freq
fhm (2) - 1 freq
gfm (2) - 1 freq
hfz (2) - 1 freq
o'em (2) - 3 freq
off (2) - 546 freq
oz (2) - 15 freq
osz (2) - 1 freq
tfrm (2) - 1 freq
oqm (2) - 1 freq
nfum (2) - 2 freq
bizm (2) - 1 freq
of (2) - 4117 freq
oam (2) - 2 freq
ofcom (2) - 5 freq
fz (2) - 12 freq
offt (2) - 1 freq
fom (2) - 2 freq
zm (2) - 1 freq
otz (2) - 1 freq
ofzm (0) - 1 freq
onzm (2) - 1 freq
fom (3) - 2 freq
fz (3) - 12 freq
ofcom (3) - 5 freq
zm (3) - 1 freq
fim (3) - 4 freq
fum (3) - 1 freq
bizm (3) - 1 freq
fam (3) - 23 freq
ryzm (3) - 1 freq
fm (3) - 90 freq
fhm (3) - 1 freq
rzm (3) - 1 freq
afzal (4) - 1 freq
flem (4) - 1 freq
faze (4) - 2 freq
fame (4) - 48 freq
fawm (4) - 2 freq
furm (4) - 20 freq
fuzz (4) - 2 freq
fozzy (4) - 1 freq
gizmo (4) - 2 freq
zma (4) - 1 freq
oz (4) - 15 freq
SoundEx code - O125
obscene - 13 freq
obscenities - 2 freq
offcn - 1 freq
oohyafuckin - 1 freq
obscenely - 3 freq
off-chance - 1 freq
ovey-somethin - 1 freq
opposin - 3 freq
opposing - 2 freq
obviousness - 1 freq
ofcom - 5 freq
oybxmv - 1 freq
obknit - 1 freq
ofzm - 1 freq
ophusnnk - 1 freq
ofjnzg - 1 freq
opscmh - 1 freq
MetaPhone code - OFSM
ofzm - 1 freq
OFZM
Time to execute Levenshtein function - 0.189703 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 - 0.348751 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 - 0.028899 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 - 0.037257 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 - 0.000870 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.