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 vefz in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
vefz (0) - 1 freq
vein (2) - 5 freq
uefa (2) - 1 freq
vet (2) - 33 freq
leaz (2) - 1 freq
eez (2) - 30 freq
vfb (2) - 1 freq
vevf (2) - 1 freq
veil (2) - 25 freq
venn (2) - 1 freq
ves (2) - 2 freq
bez (2) - 1 freq
ecz (2) - 1 freq
vest (2) - 14 freq
defo (2) - 208 freq
vpz (2) - 1 freq
ve'd (2) - 1 freq
vegg (2) - 2 freq
veni (2) - 1 freq
ref (2) - 36 freq
vesa (2) - 1 freq
efh (2) - 1 freq
vz (2) - 4 freq
jeff (2) - 32 freq
vex (2) - 6 freq
vefz (0) - 1 freq
vz (3) - 4 freq
vtz (3) - 1 freq
vf (3) - 1 freq
vrafz (3) - 1 freq
evz (3) - 1 freq
viz (3) - 6 freq
hfz (3) - 1 freq
vpz (3) - 1 freq
vizz (3) - 1 freq
vcz (3) - 1 freq
vfb (3) - 1 freq
fz (3) - 12 freq
efo (4) - 1 freq
defn (4) - 3 freq
lgfz (4) - 1 freq
ver (4) - 3 freq
vexh (4) - 1 freq
hef (4) - 1 freq
sef (4) - 1 freq
verm (4) - 1 freq
jeez (4) - 10 freq
efl (4) - 2 freq
mefq (4) - 1 freq
ehz (4) - 1 freq
SoundEx code - V120
veyb's - 1 freq
vibes - 6 freq
vivas - 1 freq
vwvg - 1 freq
vefz - 1 freq
vuvkwi - 1 freq
vi-pees - 1 freq
MetaPhone code - FFS
fives - 7 freq
fifie's - 1 freq
fife's - 2 freq
vivas - 1 freq
faves - 3 freq
fafa's - 2 freq
vefz - 1 freq
VEFZ
Time to execute Levenshtein function - 0.225527 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 - 0.377750 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 - 0.027656 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 - 0.037074 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 - 0.000768 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.