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 hysts in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hysts (0) - 1 freq
hyst (1) - 5 freq
heysts (1) - 1 freq
hosts (1) - 13 freq
hyste (1) - 9 freq
posts (2) - 45 freq
houts (2) - 1 freq
wyss (2) - 1 freq
hoses (2) - 1 freq
whists (2) - 1 freq
hts (2) - 5 freq
ghosts (2) - 23 freq
chests (2) - 7 freq
jynts (2) - 13 freq
hoots (2) - 11 freq
chists (2) - 1 freq
heats (2) - 3 freq
host (2) - 37 freq
rusts (2) - 1 freq
costs (2) - 46 freq
myst (2) - 1 freq
hst (2) - 1 freq
haets (2) - 2 freq
fists (2) - 21 freq
wyste (2) - 2 freq
hysts (0) - 1 freq
heysts (1) - 1 freq
hosts (1) - 13 freq
hoasts (2) - 8 freq
hyste (2) - 9 freq
heests (2) - 2 freq
hyst (2) - 5 freq
hystit (3) - 6 freq
hots (3) - 1 freq
lests (3) - 3 freq
vests (3) - 4 freq
rests (3) - 11 freq
hesps (3) - 2 freq
histy (3) - 1 freq
hass (3) - 2 freq
dusts (3) - 2 freq
kests (3) - 2 freq
masts (3) - 8 freq
lists (3) - 18 freq
kists (3) - 31 freq
jests (3) - 2 freq
hats (3) - 46 freq
lasts (3) - 17 freq
dists (3) - 1 freq
husks (3) - 2 freq
SoundEx code - H232
heichts - 11 freq
hichts - 10 freq
hechts - 3 freq
hostage - 7 freq
hoasts - 8 freq
hosts - 13 freq
hysts - 1 freq
howzitgaun - 3 freq
heights - 3 freq
haystack - 2 freq
hostess - 2 freq
high-tech - 2 freq
hechtsome - 1 freq
hashtags - 2 freq
hoosedug - 1 freq
hestigeo - 2 freq
heests - 2 freq
hoggetscauf - 1 freq
hashtag-ad - 1 freq
hey-stack - 1 freq
hoosehauds - 5 freq
heysts - 1 freq
hashtag - 7 freq
heywechts - 2 freq
hectic - 1 freq
hgducrs - 1 freq
hgtokpnr - 1 freq
hugggggggsdss - 1 freq
hostages - 1 freq
hostesses - 1 freq
hctko - 1 freq
hktwkwqa - 1 freq
howzitgoan - 10 freq
hkzetswlvw - 1 freq
hjtkb - 1 freq
MetaPhone code - STS
cities - 43 freq
sides - 155 freq
sits - 172 freq
set's - 2 freq
sates - 9 freq
city's - 10 freq
steys - 21 freq
ceeties - 7 freq
seat's - 3 freq
seats - 79 freq
sets - 130 freq
saets - 29 freq
seeds - 47 freq
stacey - 2 freq
stays - 28 freq
suits - 52 freq
seats' - 1 freq
suite's - 1 freq
saits - 4 freq
sait's - 1 freq
suit's - 2 freq
'sides - 1 freq
sods - 10 freq
sadie's - 3 freq
zits - 1 freq
hysts - 1 freq
syde's - 5 freq
cit's - 1 freq
seet's - 2 freq
saudis - 2 freq
side's - 3 freq
seduce - 1 freq
citz - 2 freq
sites - 22 freq
steis - 1 freq
sats' - 1 freq
stews - 5 freq
sïts - 1 freq
suds - 3 freq
saddos - 1 freq
sides' - 1 freq
saut's - 1 freq
sod's - 1 freq
saet's - 1 freq
settes - 1 freq
steasy - 1 freq
staeys - 1 freq
cyties - 1 freq
cities' - 1 freq
cits - 1 freq
suites - 2 freq
staws - 3 freq
cites - 12 freq
say-at's - 1 freq
setts - 2 freq
staas - 4 freq
ceities - 8 freq
saidis - 2 freq
seids - 1 freq
sids - 1 freq
stows - 1 freq
seeds' - 1 freq
saats - 1 freq
sties - 1 freq
staiys - 1 freq
sodas - 1 freq
sowt's - 1 freq
sts - 1 freq
sats - 1 freq
stce - 1 freq
HYSTS
Time to execute Levenshtein function - 0.191116 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 - 0.344383 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 - 0.027986 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 - 0.039210 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 - 0.000936 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.