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 veeper in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
veeper (0) - 2 freq
keeper (1) - 43 freq
deeper (1) - 51 freq
neeper (1) - 5 freq
teeter (2) - 1 freq
peever (2) - 1 freq
vupper (2) - 1 freq
seeger (2) - 1 freq
seerer (2) - 1 freq
reepepr (2) - 1 freq
paeper (2) - 3 freq
deener (2) - 3 freq
veer (2) - 1 freq
eeger (2) - 1 freq
peiper (2) - 1 freq
temper (2) - 50 freq
feeder (2) - 5 freq
peyper (2) - 1 freq
peepee (2) - 18 freq
neepur (2) - 1 freq
neeber (2) - 2 freq
heeder (2) - 1 freq
beemer (2) - 2 freq
eever (2) - 2 freq
viper (2) - 1 freq
veeper (0) - 2 freq
neeper (2) - 5 freq
deeper (2) - 51 freq
viper (2) - 1 freq
keeper (2) - 43 freq
veneer (3) - 1 freq
neepur (3) - 1 freq
viewer (3) - 4 freq
eever (3) - 2 freq
reaper (3) - 16 freq
neiper (3) - 6 freq
leper (3) - 2 freq
deepur (3) - 1 freq
peyper (3) - 1 freq
keiper (3) - 1 freq
veere (3) - 1 freq
veer (3) - 1 freq
paeper (3) - 3 freq
peiper (3) - 1 freq
vupper (3) - 1 freq
pooper (4) - 1 freq
cooper (4) - 18 freq
piper (4) - 24 freq
paper (4) - 511 freq
voicer (4) - 1 freq
SoundEx code - V160
veeper - 2 freq
vapour - 3 freq
vibrio - 1 freq
viper - 1 freq
vovr - 1 freq
vhbr - 1 freq
vupper - 1 freq
MetaPhone code - FPR
veeper - 2 freq
vapour - 3 freq
viper - 1 freq
fapor - 2 freq
vupper - 1 freq
VEEPER
Time to execute Levenshtein function - 0.293287 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 - 0.679793 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 - 0.027613 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 - 0.091791 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 - 0.000894 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.