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 olick in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
olick (0) - 1 freq
slick (1) - 10 freq
alick (1) - 1 freq
lick (1) - 51 freq
click (1) - 132 freq
flick (1) - 26 freq
olina (2) - 11 freq
olscy (2) - 1 freq
flack (2) - 3 freq
policy (2) - 149 freq
likk (2) - 9 freq
slock (2) - 8 freq
alck (2) - 1 freq
slice (2) - 63 freq
edick (2) - 1 freq
bleck (2) - 179 freq
gylick (2) - 1 freq
link (2) - 76 freq
pluck (2) - 12 freq
nick (2) - 133 freq
thick (2) - 227 freq
lik (2) - 1638 freq
cluck (2) - 2 freq
lisk (2) - 1 freq
eleck (2) - 4 freq
olick (0) - 1 freq
lick (1) - 51 freq
alick (1) - 1 freq
alack (2) - 1 freq
licky (2) - 1 freq
lack (2) - 137 freq
luck (2) - 327 freq
aleck (2) - 2 freq
leck (2) - 27 freq
alck (2) - 1 freq
lock (2) - 156 freq
eleck (2) - 4 freq
flick (2) - 26 freq
click (2) - 132 freq
slick (2) - 10 freq
wick (3) - 56 freq
pick (3) - 296 freq
lirk (3) - 5 freq
saick (3) - 1 freq
blaick (3) - 2 freq
elic (3) - 2 freq
licks (3) - 12 freq
kick (3) - 122 freq
plicko (3) - 1 freq
hooick (3) - 1 freq
SoundEx code - O420
oiles - 1 freq
oils - 2 freq
ologie - 1 freq
oolies - 1 freq
oyls - 1 freq
olways - 1 freq
olso - 1 freq
olga - 1 freq
olick - 1 freq
owls - 3 freq
oholoos - 1 freq
owl’s - 1 freq
olscy - 1 freq
owaalqoh - 1 freq
MetaPhone code - OLK
olga - 1 freq
olick - 1 freq
OLICK
Time to execute Levenshtein function - 0.186577 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 - 0.334946 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 - 0.027939 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 - 0.038015 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 - 0.000906 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.