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 ok in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
ok (0) - 116 freq
oq (1) - 4 freq
oki (1) - 5 freq
k (1) - 204 freq
jk (1) - 8 freq
ock (1) - 1 freq
ork (1) - 2 freq
om (1) - 6 freq
ov (1) - 59 freq
oj (1) - 2 freq
uk (1) - 358 freq
os (1) - 11 freq
aok (1) - 1 freq
okr (1) - 1 freq
ob (1) - 2 freq
of (1) - 4012 freq
yok (1) - 2 freq
jok (1) - 1 freq
hk (1) - 9 freq
rk (1) - 2 freq
ªk (1) - 3 freq
zk (1) - 3 freq
oa (1) - 14 freq
oi (1) - 18 freq
ak (1) - 12 freq
ok (0) - 116 freq
ek (1) - 3 freq
aok (1) - 1 freq
uk (1) - 358 freq
ik (1) - 8 freq
ak (1) - 12 freq
ouk (1) - 16 freq
yk (1) - 3 freq
uok (1) - 1 freq
yok (1) - 2 freq
oak (1) - 16 freq
k (1) - 204 freq
oka (1) - 1 freq
oki (1) - 5 freq
ook (1) - 2 freq
tok (2) - 2 freq
‹k (2) - 3 freq
žk (2) - 3 freq
og (2) - 10 freq
oh (2) - 1175 freq
oo (2) - 423 freq
ke (2) - 18 freq
ou (2) - 17 freq
lk (2) - 9 freq
xk (2) - 1 freq
SoundEx code - O200
och - 701 freq
'och - 118 freq
oose - 13 freq
oags - 2 freq
o's - 48 freq
okay - 62 freq
ouch - 23 freq
'ouch - 2 freq
og - 10 freq
oohs - 1 freq
ok - 116 freq
ox - 24 freq
'okay - 7 freq
oqo-oh - 1 freq
ochie - 8 freq
oak - 16 freq
oosie - 3 freq
ock - 1 freq
oz - 14 freq
oq - 4 freq
ooze - 2 freq
o'is - 31 freq
os - 11 freq
ouija - 7 freq
ooies - 1 freq
owes - 4 freq
'owch - 1 freq
'ok - 6 freq
oic - 1 freq
ouk - 16 freq
o'z - 6 freq
owse - 5 freq
osc - 3 freq
oag - 2 freq
ooooooch - 1 freq
o'skye - 1 freq
oki - 5 freq
oozie - 1 freq
ook - 2 freq
oossie - 1 freq
oos - 1 freq
okey - 1 freq
oasy - 1 freq
og' - 1 freq
owis - 1 freq
€˜och - 13 freq
€œoch - 19 freq
ox-eye - 1 freq
oiss - 1 freq
oys - 3 freq
oes - 2 freq
€œox - 1 freq
ouse - 1 freq
€˜okay - 1 freq
€˜o-o-o-o-k-k-k-k - 1 freq
€”och - 1 freq
€œokay - 9 freq
oese - 4 freq
'oose' - 1 freq
'oyez - 1 freq
oyez' - 1 freq
€œok - 10 freq
oaks - 1 freq
€™ok - 1 freq
€™okay - 2 freq
oxj - 1 freq
oxhi - 1 freq
oj - 2 freq
oooocha - 1 freq
oc - 2 freq
okjjx - 1 freq
“och - 1 freq
oega - 1 freq
oceiyi - 1 freq
ouks - 2 freq
oxo - 1 freq
ooocha - 2 freq
oocha - 3 freq
oougg - 1 freq
oooosh - 1 freq
oxi - 2 freq
okaaayÂ… - 1 freq
ojo - 3 freq
ohhsqj - 1 freq
ouzo - 1 freq
okqyuy - 1 freq
oka - 1 freq
ougo - 1 freq
o'whisky - 1 freq
oeq - 1 freq
osz - 1 freq
ojxg - 1 freq
oxsie - 1 freq
oiseau - 1 freq
oqy - 1 freq
ojjz - 1 freq
ozo - 1 freq
oajo - 1 freq
ohohj - 1 freq
oxsi - 1 freq
oÂ’s - 1 freq
oaq - 1 freq
ooekk - 1 freq
oasz - 1 freq
oaj - 1 freq
oigj - 1 freq
okj - 1 freq
oche - 1 freq
occa - 1 freq
ozg - 1 freq
oeg - 1 freq
oszy - 1 freq
oqc - 1 freq
MetaPhone code - OK
okay - 62 freq
og - 10 freq
ok - 116 freq
'okay - 7 freq
oqo-oh - 1 freq
oak - 16 freq
ock - 1 freq
oq - 4 freq
'ok - 6 freq
oic - 1 freq
ouk - 16 freq
oag - 2 freq
oki - 5 freq
ook - 2 freq
okey - 1 freq
og' - 1 freq
€˜okay - 1 freq
€œokay - 9 freq
€œok - 10 freq
€™ok - 1 freq
€™okay - 2 freq
oc - 2 freq
oega - 1 freq
oougg - 1 freq
okaaayÂ… - 1 freq
oka - 1 freq
ougo - 1 freq
oeq - 1 freq
oqy - 1 freq
oaq - 1 freq
ooekk - 1 freq
oeg - 1 freq
OK
Time to execute Levenshtein function - 0.394568 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 - 0.718021 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 - 0.085403 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 - 0.096375 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 - 0.000802 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.