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 cmon in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
cmon (0) - 18 freq
mon (1) - 145 freq
chon (1) - 3 freq
cmo (1) - 1 freq
c'mon (1) - 84 freq
con (1) - 21 freq
'mon (1) - 12 freq
comon (1) - 1 freq
amon (1) - 22 freq
cmoan (1) - 1 freq
eon (2) - 2 freq
mon (2) - 2 freq
jmsn (2) - 1 freq
soon (2) - 668 freq
mzn (2) - 1 freq
mown (2) - 2 freq
vpon (2) - 1 freq
coe (2) - 1 freq
chou (2) - 4 freq
emo (2) - 3 freq
smoo (2) - 1 freq
bon (2) - 13 freq
opon (2) - 1 freq
spon (2) - 1 freq
leon (2) - 2 freq
cmon (0) - 18 freq
comon (1) - 1 freq
cmoan (1) - 1 freq
comyn (2) - 3 freq
cuman (2) - 2 freq
cumen (2) - 1 freq
comin (2) - 1056 freq
cumoan (2) - 2 freq
camin (2) - 4 freq
cumin (2) - 70 freq
cimin (2) - 1 freq
coamon (2) - 1 freq
con (2) - 21 freq
chon (2) - 3 freq
c'mon (2) - 84 freq
cmo (2) - 1 freq
'mon (2) - 12 freq
coman (2) - 41 freq
mon (2) - 145 freq
amon (2) - 22 freq
mona (3) - 7 freq
chun (3) - 1 freq
choon (3) - 6 freq
cin (3) - 289 freq
omen (3) - 5 freq
SoundEx code - C550
comin - 1056 freq
common - 295 freq
'c'moan - 20 freq
c'mon - 84 freq
cunnin - 6 freq
c'moan - 34 freq
cowmon - 1 freq
cannon - 13 freq
canaan - 3 freq
canon' - 2 freq
'c'mon - 7 freq
comena - 2 freq
commin - 8 freq
caumin - 2 freq
cumin - 70 freq
cinema - 8 freq
'commen' - 1 freq
'commen - 1 freq
comin' - 19 freq
canine - 3 freq
coman - 41 freq
cumman - 11 freq
comyn - 3 freq
cumen - 1 freq
cummen - 26 freq
cmoan - 1 freq
connin - 1 freq
canon - 11 freq
'comin - 3 freq
cmon - 18 freq
cainan - 4 freq
comman - 4 freq
cunnin' - 2 freq
comim - 1 freq
chinnin - 1 freq
camin - 4 freq
comeen - 1 freq
cummin - 30 freq
cuman - 2 freq
coemmaan - 1 freq
con-man - 1 freq
cownan - 1 freq
cun-nan - 1 freq
'coman - 1 freq
cannen - 3 freq
commone - 2 freq
cie-men - 1 freq
ciemen - 1 freq
comunn - 1 freq
cannin - 3 freq
canyon - 1 freq
comon - 1 freq
commoun - 3 freq
caman - 1 freq
commune - 3 freq
coinin - 1 freq
coamon - 1 freq
connin' - 1 freq
cannon - 1 freq
coman' - 1 freq
commaun - 1 freq
c’mon - 6 freq
cumoan - 2 freq
‘c’mon - 1 freq
cimin - 1 freq
coomannie - 1 freq
caiman - 1 freq
choonin - 1 freq
cayman - 1 freq
MetaPhone code - KMN
comin - 1056 freq
common - 295 freq
'c'moan - 20 freq
c'mon - 84 freq
c'moan - 34 freq
cowmon - 1 freq
'c'mon - 7 freq
combine - 19 freq
comena - 2 freq
commin - 8 freq
caumin - 2 freq
cumin - 70 freq
'commen' - 1 freq
'commen - 1 freq
comin' - 19 freq
kemnay - 4 freq
coman - 41 freq
cumman - 11 freq
comyn - 3 freq
gamyn - 1 freq
cumen - 1 freq
cummen - 26 freq
kiemon - 1 freq
cmoan - 1 freq
gammon - 5 freq
'comin - 3 freq
cmon - 18 freq
comman - 4 freq
camin - 4 freq
comeen - 1 freq
cummin - 30 freq
gummin - 1 freq
cuman - 2 freq
coemmaan - 1 freq
'coman - 1 freq
gomin - 21 freq
commone - 2 freq
comunn - 1 freq
comon - 1 freq
caimbin - 1 freq
commoun - 3 freq
caman - 1 freq
commune - 3 freq
coamon - 1 freq
coman' - 1 freq
gamin - 3 freq
commaun - 1 freq
komin - 1 freq
c’mon - 6 freq
cumoan - 2 freq
gameon - 1 freq
‘c’mon - 1 freq
kemonn - 1 freq
coomannie - 1 freq
caiman - 1 freq
cayman - 1 freq
CMON
Time to execute Levenshtein function - 0.177768 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 - 0.323409 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 - 0.027632 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 - 0.036686 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 - 0.000829 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.