A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ablow

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Similar words to slime in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
slime (0) - 6 freq
clime (1) - 7 freq
slite (1) - 4 freq
slimy (1) - 12 freq
slide (1) - 24 freq
stime (1) - 4 freq
sime (1) - 1 freq
skime (1) - 4 freq
slice (1) - 63 freq
lime (1) - 28 freq
saime (1) - 14 freq
slimed (1) - 1 freq
slim (1) - 16 freq
slipe (1) - 1 freq
chime (2) - 6 freq
spine (2) - 26 freq
clipe (2) - 9 freq
crime (2) - 70 freq
seme (2) - 1 freq
suire (2) - 2 freq
lice (2) - 7 freq
shim (2) - 1 freq
skive (2) - 5 freq
sclims (2) - 10 freq
flie (2) - 9 freq
slime (0) - 6 freq
slim (1) - 16 freq
slimy (1) - 12 freq
slimed (2) - 1 freq
salome (2) - 1 freq
slam (2) - 13 freq
slymee (2) - 1 freq
saime (2) - 14 freq
slum (2) - 5 freq
slipe (2) - 1 freq
stime (2) - 4 freq
slide (2) - 24 freq
lime (2) - 28 freq
slite (2) - 4 freq
sime (2) - 1 freq
slice (2) - 63 freq
skime (2) - 4 freq
clime (2) - 7 freq
slieve (3) - 1 freq
spume (3) - 3 freq
saim (3) - 21 freq
limo (3) - 9 freq
salma (3) - 2 freq
sklim (3) - 3 freq
sume (3) - 2 freq
SoundEx code - S450
sloom - 5 freq
shilin - 1 freq
shillin - 29 freq
solemn - 25 freq
skailin - 39 freq
swallyin - 10 freq
squealin - 6 freq
skellyin - 1 freq
slam - 13 freq
slum - 5 freq
sclim - 25 freq
sellin - 70 freq
slim - 16 freq
swollen - 12 freq
shullin - 3 freq
'sclim - 1 freq
swallen - 4 freq
sweelin - 13 freq
sea-lion - 1 freq
slimy - 12 freq
slooin - 1 freq
scullion - 2 freq
skellum - 13 freq
'slam - 1 freq
sailin - 37 freq
sel-limn - 1 freq
swallin - 11 freq
slowin - 13 freq
scoolin - 2 freq
swallayin - 1 freq
soolin - 2 freq
slime - 6 freq
solan - 7 freq
slain - 9 freq
shilleen - 1 freq
sailan - 5 freq
swalaein - 1 freq
swellin' - 1 freq
sailen - 2 freq
slymee - 1 freq
slowen - 1 freq
schoolin - 4 freq
schiehallion - 3 freq
scoolyin - 1 freq
'swallyin - 1 freq
scowlin - 2 freq
swellin - 4 freq
swallowin - 2 freq
salon - 10 freq
seowlin - 1 freq
squeelin - 2 freq
shielan - 1 freq
sheilan - 2 freq
siloam - 2 freq
slawin - 2 freq
swallaein - 5 freq
scalin' - 1 freq
shellin - 3 freq
sullen - 7 freq
slayin - 1 freq
salma - 2 freq
solemnwye - 3 freq
solemn-wye - 2 freq
soilan - 1 freq
skailan - 1 freq
sellan - 1 freq
schuilin - 6 freq
swalliein - 1 freq
saulin - 2 freq
skyline - 6 freq
sullom - 2 freq
swillin - 2 freq
slowan - 1 freq
skilin - 4 freq
sealan - 1 freq
swallowan - 1 freq
shillan - 1 freq
schulin - 2 freq
sallna - 1 freq
sweilin - 1 freq
sclimm - 9 freq
salome - 1 freq
scalin - 2 freq
squallin - 1 freq
sklim - 3 freq
squilein - 1 freq
scuilin - 1 freq
scuillin - 3 freq
squawlin - 1 freq
solumn - 1 freq
scuilwean - 1 freq
sallyin - 1 freq
slayin' - 1 freq
sklum - 1 freq
sclam - 1 freq
shuillin - 1 freq
€œsclim - 1 freq
€™s-lan - 2 freq
shillin' - 1 freq
skeuleen - 1 freq
swallyÂ’n - 1 freq
sheilam - 10 freq
shielin - 1 freq
sheilin - 2 freq
slane - 1 freq
saiiilin - 1 freq
sailllllin - 1 freq
saloon - 1 freq
skailin' - 1 freq
MetaPhone code - SLM
sloom - 5 freq
slam - 13 freq
slum - 5 freq
slim - 16 freq
slimy - 12 freq
'slam - 1 freq
slime - 6 freq
slymee - 1 freq
siloam - 2 freq
salma - 2 freq
sullom - 2 freq
salome - 1 freq
SLIME
Time to execute Levenshtein function - 0.198370 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 - 0.371827 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 - 0.027060 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 - 0.036856 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 - 0.000850 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.