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 sulkily in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
sulkily (0) - 3 freq
sulky (2) - 7 freq
sulkit (2) - 3 freq
luckily (2) - 34 freq
sully (2) - 2 freq
sulkin (2) - 5 freq
huffily (3) - 3 freq
sulk (3) - 4 freq
sullie (3) - 2 freq
sullies (3) - 3 freq
gully (3) - 16 freq
sicily (3) - 5 freq
funnily (3) - 6 freq
bulky (3) - 2 freq
solidly (3) - 1 freq
wully (3) - 127 freq
slawly (3) - 49 freq
silkie (3) - 3 freq
scully (3) - 2 freq
skely (3) - 1 freq
sultry (3) - 24 freq
skeily (3) - 1 freq
slidy (3) - 2 freq
sally (3) - 145 freq
solkits (3) - 3 freq
sulkily (0) - 3 freq
sulkin (3) - 5 freq
sully (3) - 2 freq
sulkit (3) - 3 freq
sulky (3) - 7 freq
silky (4) - 10 freq
-lkely (4) - 1 freq
silkies (4) - 2 freq
selkie (4) - 17 freq
skil (4) - 3 freq
sulken (4) - 1 freq
sleely (4) - 1 freq
selly (4) - 1 freq
slowly (4) - 229 freq
lukuly (4) - 2 freq
sulks (4) - 3 freq
silly (4) - 63 freq
seekly (4) - 1 freq
spookily (4) - 1 freq
solely (4) - 3 freq
sirkil (4) - 1 freq
sulked (4) - 1 freq
sull (4) - 4 freq
sneakily (4) - 4 freq
slyly (4) - 3 freq
SoundEx code - S424
scuil-cless - 1 freq
sulkily - 3 freq
school-children - 1 freq
scuil-college - 1 freq
shilly-shally - 1 freq
schoolchildren - 1 freq
sallieaxl - 1 freq
MetaPhone code - SLKL
sulkily - 3 freq
SULKILY
Time to execute Levenshtein function - 0.235909 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 - 0.463128 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 - 0.068214 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 - 0.074016 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 - 0.000899 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.