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 khan in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
khan (0) - 3 freq
chan (1) - 1 freq
kian (1) - 1 freq
vhan (1) - 1 freq
whan (1) - 2751 freq
lhan (1) - 1 freq
shan (1) - 10 freq
than (1) - 2715 freq
dhan (1) - 1 freq
han (1) - 392 freq
klan (1) - 1 freq
kan (1) - 28 freq
joan (2) - 30 freq
fran (2) - 1 freq
evan (2) - 12 freq
thin (2) - 317 freq
'whan (2) - 7 freq
haen (2) - 152 freq
chun (2) - 1 freq
kin (2) - 1351 freq
gean (2) - 10 freq
ahah (2) - 1 freq
qan (2) - 1 freq
chat (2) - 71 freq
€™an (2) - 2 freq
khan (0) - 3 freq
dhan (2) - 1 freq
klan (2) - 1 freq
kahn (2) - 2 freq
than (2) - 2715 freq
kan (2) - 28 freq
han (2) - 392 freq
vhan (2) - 1 freq
shan (2) - 10 freq
kian (2) - 1 freq
whan (2) - 2751 freq
chan (2) - 1 freq
lhan (2) - 1 freq
kiyan (3) - 1 freq
thaun (3) - 2 freq
whaen (3) - 3 freq
chain (3) - 61 freq
thyn (3) - 1 freq
chane (3) - 1 freq
thaen (3) - 2 freq
ktn (3) - 1 freq
kirn (3) - 33 freq
'hen (3) - 4 freq
shun (3) - 9 freq
kain (3) - 2 freq
SoundEx code - K500
ken - 5053 freq
kinna - 279 freq
know - 1123 freq
keen - 204 freq
knee - 125 freq
kin - 1351 freq
knew - 218 freq
kan - 28 freq
kin- - 1 freq
kyn - 20 freq
knaw - 16 freq
kenna - 11 freq
ken-nae - 3 freq
ken- - 11 freq
knowe - 56 freq
kaim - 13 freq
kenny - 46 freq
'ken - 8 freq
kemnay - 4 freq
ken' - 3 freq
kinnae - 10 freq
'know - 2 freq
kine - 101 freq
k-ken - 1 freq
'kin - 6 freq
kynea - 1 freq
kcyna - 1 freq
kcyn - 1 freq
keyn - 5 freq
keyna - 4 freq
kim - 10 freq
khayyam - 1 freq
kame - 6 freq
kenya - 6 freq
kane - 31 freq
knee-heh - 2 freq
kin' - 2 freq
kïssin - 1 freq
kanna - 1 freq
kmee - 1 freq
km - 4 freq
kyne - 10 freq
kyin - 1 freq
'ken' - 4 freq
k'nie - 1 freq
kinno - 24 freq
kin-' - 1 freq
kum - 8 freq
kam - 24 freq
kunna - 1 freq
kehm - 1 freq
'kum - 1 freq
kaam - 1 freq
kaen - 12 freq
know' - 1 freq
ken-no - 1 freq
-kin - 1 freq
-ken - 1 freq
«kin - 1 freq
'know' - 1 freq
'knowe' - 1 freq
khan - 3 freq
kennawha - 9 freq
kni - 1 freq
kenny' - 1 freq
kno - 16 freq
koam - 1 freq
€œken - 2 freq
kene - 1 freq
know-how - 1 freq
kian - 1 freq
kennae - 1 freq
€˜ken - 2 freq
€˜know - 3 freq
€™know - 6 freq
€˜kin - 1 freq
koen - 2 freq
'kinna - 1 freq
€˜kenny - 1 freq
€œkum - 1 freq
keyin - 1 freq
€œkin - 2 freq
kain - 2 freq
'keen - 2 freq
kannae - 1 freq
kahn - 2 freq
€™kin - 2 freq
€™ken - 1 freq
kÂ’in - 1 freq
‘kin - 1 freq
kxn - 1 freq
kgeyom - 1 freq
“ken - 1 freq
kein - 1 freq
kano - 1 freq
kkano - 1 freq
kyam - 1 freq
kahoona - 1 freq
kom - 2 freq
kjm - 1 freq
knei - 1 freq
keen' - 1 freq
kiyan - 1 freq
kanyou - 1 freq
kmm - 1 freq
‘ken’ - 1 freq
keano - 1 freq
kennie - 1 freq
knee' - 1 freq
knaa - 1 freq
MetaPhone code - KHN
quhan - 51 freq
cohen - 1 freq
quhen - 4 freq
khan - 3 freq
€œquhan - 5 freq
kahoona - 1 freq
KHAN
Time to execute Levenshtein function - 0.293754 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 - 0.455257 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 - 0.056474 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 - 0.037972 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 - 0.000752 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.