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 voldemort in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
voldemort (0) - 7 freq
voldermort (1) - 1 freq
€˜voldemort (2) - 1 freq
voldermort' (2) - 1 freq
roedemor (3) - 2 freq
solder (4) - 2 freq
dolders (4) - 1 freq
polkemmet (4) - 2 freq
commemorat (4) - 1 freq
odanort (4) - 3 freq
poudert (4) - 2 freq
feliamort (4) - 1 freq
soudert (4) - 1 freq
guldert (4) - 13 freq
fordert (4) - 4 freq
teleport (4) - 1 freq
wondert (4) - 10 freq
foremost (4) - 1 freq
toremore (4) - 1 freq
ordert (4) - 12 freq
golders (4) - 3 freq
holders (4) - 3 freq
golder (4) - 1 freq
voller (4) - 2 freq
oldest (4) - 3 freq
voldemort (0) - 7 freq
voldermort (2) - 1 freq
voldermort' (4) - 1 freq
€˜voldemort (4) - 1 freq
feliamort (6) - 1 freq
guldert (6) - 13 freq
roedemor (6) - 2 freq
vladimir (6) - 2 freq
holder (7) - 2 freq
dolder (7) - 1 freq
yollert (7) - 2 freq
powdert (7) - 2 freq
older (7) - 27 freq
solempt (7) - 1 freq
bolder (7) - 2 freq
gollert (7) - 7 freq
moidert (7) - 1 freq
laddert (7) - 1 freq
damart (7) - 1 freq
bulderit (7) - 1 freq
fulmart (7) - 1 freq
volunteert (7) - 1 freq
walmart (7) - 1 freq
folder (7) - 4 freq
looderit (7) - 1 freq
SoundEx code - V435
vladimir - 2 freq
vaultin - 1 freq
volition - 2 freq
voldemort - 7 freq
€˜voldemort - 1 freq
vulltums - 5 freq
MetaPhone code - FLTMRT
voldemort - 7 freq
€˜voldemort - 1 freq
VOLDEMORT
Time to execute Levenshtein function - 0.223083 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 - 0.361445 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 - 0.027698 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 - 0.041230 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 - 0.000907 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.