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 veeper in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
veeper (0) - 2 freq
keeper (1) - 44 freq
neeper (1) - 5 freq
deeper (1) - 51 freq
sweeper (2) - 3 freq
eever (2) - 2 freq
deefer (2) - 1 freq
keepen (2) - 1 freq
weeter (2) - 2 freq
beezer (2) - 11 freq
beeger (2) - 6 freq
deener (2) - 3 freq
deepen (2) - 6 freq
pepper (2) - 83 freq
eezer (2) - 1 freq
temper (2) - 50 freq
reepepr (2) - 1 freq
helper (2) - 5 freq
keiper (2) - 1 freq
neiper (2) - 6 freq
peepee (2) - 18 freq
viper (2) - 1 freq
peeler (2) - 3 freq
keepers (2) - 16 freq
keener (2) - 6 freq
veeper (0) - 2 freq
deeper (2) - 51 freq
viper (2) - 1 freq
neeper (2) - 5 freq
keeper (2) - 44 freq
paeper (3) - 3 freq
reaper (3) - 20 freq
peyper (3) - 1 freq
neiper (3) - 6 freq
deepur (3) - 1 freq
veere (3) - 1 freq
viewer (3) - 4 freq
veer (3) - 1 freq
vupper (3) - 1 freq
peiper (3) - 1 freq
veneer (3) - 1 freq
keiper (3) - 1 freq
leper (3) - 2 freq
neepur (3) - 1 freq
eever (3) - 2 freq
wyper (4) - 1 freq
paiper (4) - 7 freq
sper (4) - 1 freq
speer (4) - 21 freq
taper (4) - 4 freq
SoundEx code - V160
vapour - 4 freq
veeper - 2 freq
vibrio - 1 freq
viper - 1 freq
vovr - 1 freq
vhbr - 1 freq
vupper - 1 freq
MetaPhone code - FPR
vapour - 4 freq
veeper - 2 freq
viper - 1 freq
fapor - 2 freq
vupper - 1 freq
VEEPER
Time to execute Levenshtein function - 0.176954 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 - 0.341185 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 - 0.039491 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 - 0.045480 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 - 0.000935 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.