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 kayakers in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
kayakers (0) - 1 freq
maakers (2) - 3 freq
taakers (2) - 4 freq
knockers (3) - 2 freq
waarkers (3) - 4 freq
rakers (3) - 1 freq
waaters (3) - 4 freq
takers (3) - 2 freq
knackers (3) - 2 freq
waaker (3) - 1 freq
kickers (3) - 1 freq
maskers (3) - 1 freq
makkers (3) - 2 freq
tankers (3) - 2 freq
markers (3) - 7 freq
speakers (3) - 223 freq
naysayers (3) - 1 freq
jakers (3) - 1 freq
packers (3) - 1 freq
bayker's (3) - 1 freq
taaker (3) - 1 freq
mackers (3) - 1 freq
jaykets (3) - 1 freq
layers (3) - 21 freq
ackers (3) - 16 freq
kayakers (0) - 1 freq
keekers (3) - 3 freq
taakers (3) - 4 freq
maakers (3) - 3 freq
fakers (4) - 1 freq
makkers (4) - 2 freq
makers (4) - 8 freq
jakers (4) - 1 freq
ackers (4) - 16 freq
beakers (4) - 1 freq
waukers (4) - 1 freq
kakes (4) - 1 freq
bakers (4) - 24 freq
rakers (4) - 1 freq
takers (4) - 2 freq
kickers (4) - 1 freq
nokers (5) - 1 freq
hikers (5) - 2 freq
bikers (5) - 2 freq
knickers (5) - 43 freq
gawkers (5) - 1 freq
kayak (5) - 1 freq
maaker (5) - 1 freq
hookers (5) - 2 freq
hackers (5) - 1 freq
SoundEx code - K262
keekers - 3 freq
kickers - 1 freq
kaiser's - 2 freq
keeker-kistie - 2 freq
kayakers - 1 freq
keekersqeeker - 1 freq
kickarse - 2 freq
keysersosse - 2 freq
kaiserchiefs - 2 freq
MetaPhone code - KYKRS
kayakers - 1 freq
KAYAKERS
Time to execute Levenshtein function - 0.215799 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 - 0.360868 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 - 0.028168 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 - 0.038007 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 - 0.000888 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.