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 joked in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
joked (0) - 11 freq
toked (1) - 1 freq
yoked (1) - 1 freq
jooked (1) - 8 freq
joke' (1) - 1 freq
joker (1) - 7 freq
joyed (1) - 1 freq
jokes (1) - 50 freq
coked (1) - 5 freq
poked (1) - 5 freq
jowed (1) - 2 freq
noked (1) - 1 freq
hoked (1) - 11 freq
jouked (1) - 23 freq
boked (1) - 2 freq
joke (1) - 145 freq
voted (2) - 41 freq
cokes (2) - 1 freq
sooked (2) - 23 freq
jacked (2) - 2 freq
oped (2) - 1 freq
juke (2) - 7 freq
jared (2) - 3 freq
sowed (2) - 11 freq
bowed (2) - 38 freq
joked (0) - 11 freq
jooked (1) - 8 freq
jouked (1) - 23 freq
noked (2) - 1 freq
jowed (2) - 2 freq
joke (2) - 145 freq
jaiked (2) - 2 freq
poked (2) - 5 freq
boked (2) - 2 freq
hoked (2) - 11 freq
yoked (2) - 1 freq
coked (2) - 5 freq
toked (2) - 1 freq
joker (2) - 7 freq
joke' (2) - 1 freq
jokes (2) - 50 freq
joyed (2) - 1 freq
irked (3) - 1 freq
inked (3) - 4 freq
pooked (3) - 2 freq
jumed (3) - 1 freq
naked (3) - 22 freq
hooked (3) - 15 freq
jawed (3) - 4 freq
pokad (3) - 2 freq
SoundEx code - J230
jist - 6754 freq
just - 1618 freq
jaiket - 105 freq
jeest - 38 freq
juist - 1764 freq
jock''d - 1 freq
jockd - 1 freq
joked - 11 freq
jouked - 23 freq
joost - 230 freq
'just - 8 freq
'joost - 5 freq
jooked - 8 freq
'jist - 53 freq
'juist - 16 freq
joukit - 16 freq
jakit - 8 freq
justa - 1 freq
jacket - 29 freq
joukt - 6 freq
juikt - 2 freq
jyuist - 1 freq
jest - 80 freq
jaicket - 72 freq
jacked - 2 freq
jesuit - 1 freq
jock'd - 1 freq
jaggit - 7 freq
jaikit - 16 freq
jakedaw - 1 freq
jagged - 9 freq
juikit - 1 freq
jaickit - 16 freq
jast - 4 freq
jaickct - 1 freq
jaist - 53 freq
joogied - 1 freq
jeust - 35 freq
juke't - 1 freq
jookit - 3 freq
jista - 1 freq
jecket - 10 freq
jaiked - 2 freq
jokit - 8 freq
jjuist - 1 freq
jeckit - 3 freq
j-just - 1 freq
jiggit - 1 freq
jigged - 4 freq
jaskit - 1 freq
jeskit - 1 freq
jogged - 2 freq
jaisket - 1 freq
jeegit - 1 freq
€˜jist - 3 freq
€œjuist - 17 freq
jackdaw - 2 freq
jeist - 1 freq
juste - 3 freq
€œjist - 12 freq
€˜just - 14 freq
jyst - 7 freq
€”jist - 1 freq
jayket - 12 freq
€œjust - 8 freq
€”just - 1 freq
jaycket - 1 freq
jeukit - 2 freq
jiist - 1 freq
€œjiist - 2 freq
€™jist - 4 freq
jxixstai - 1 freq
jistÂ… - 1 freq
'just't' - 1 freq
jeggit - 4 freq
jockscot - 3 freq
jaiket' - 1 freq
jkhcgd - 1 freq
jsizt - 1 freq
‘just - 1 freq
MetaPhone code - JKT
jaiket - 105 freq
jock''d - 1 freq
jockd - 1 freq
joked - 11 freq
jouked - 23 freq
jooked - 8 freq
joukit - 16 freq
jakit - 8 freq
jacket - 29 freq
joukt - 6 freq
juikt - 2 freq
jaicket - 72 freq
jacked - 2 freq
jock'd - 1 freq
jaggit - 7 freq
jaikit - 16 freq
giekit - 1 freq
jakedaw - 1 freq
jagged - 9 freq
juikit - 1 freq
jaickit - 16 freq
gicd - 1 freq
juke't - 1 freq
geckit - 3 freq
jookit - 3 freq
jecket - 10 freq
giekt - 1 freq
jaiked - 2 freq
jokit - 8 freq
jeckit - 3 freq
jiggit - 1 freq
jigged - 4 freq
jogged - 2 freq
geck't - 1 freq
jackdaw - 2 freq
gecked - 3 freq
jayket - 12 freq
jaycket - 1 freq
jeukit - 2 freq
gigot - 1 freq
jcaddow - 1 freq
jkt - 1 freq
jeggit - 4 freq
jaiket' - 1 freq
gyct - 1 freq
geeked - 1 freq
JOKED
Time to execute Levenshtein function - 0.311788 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 - 0.440676 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 - 0.031775 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 - 0.038325 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 - 0.000909 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.