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 veins in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
veins (0) - 44 freq
beins (1) - 14 freq
eins (1) - 2 freq
reins (1) - 21 freq
vein (1) - 5 freq
veils (1) - 3 freq
veiny (1) - 2 freq
seids (2) - 1 freq
deips (2) - 1 freq
weirs (2) - 25 freq
being (2) - 306 freq
eiks (2) - 10 freq
feirs (2) - 4 freq
vyin (2) - 1 freq
sens (2) - 6 freq
wins (2) - 78 freq
reifs (2) - 1 freq
kens (2) - 532 freq
mains (2) - 59 freq
beans (2) - 66 freq
ein (2) - 86 freq
enns (2) - 11 freq
venus (2) - 32 freq
bein' (2) - 59 freq
peirs (2) - 1 freq
veins (0) - 44 freq
venus (2) - 32 freq
beins (2) - 14 freq
vaines (2) - 1 freq
evens (2) - 1 freq
ovens (2) - 4 freq
vines (2) - 6 freq
vans (2) - 22 freq
reins (2) - 21 freq
eins (2) - 2 freq
vein (2) - 5 freq
veils (2) - 3 freq
veiny (2) - 2 freq
vegas (3) - 1 freq
lins (3) - 3 freq
vids (3) - 2 freq
kins (3) - 15 freq
venues (3) - 19 freq
yerns (3) - 1 freq
erns (3) - 1 freq
ruins (3) - 26 freq
vics (3) - 1 freq
aeons (3) - 1 freq
vino (3) - 10 freq
joins (3) - 11 freq
SoundEx code - V520
vans - 22 freq
venus - 32 freq
vainish - 9 freq
veins - 44 freq
van's - 1 freq
vines - 6 freq
venice - 11 freq
vamoose - 1 freq
venge - 1 freq
'venus - 1 freq
venues - 19 freq
vanessa - 1 freq
vonnie's - 1 freq
viennese - 2 freq
venusia - 1 freq
vinci - 1 freq
vanes - 2 freq
vanish - 6 freq
vaines - 1 freq
vinnyÂ’s - 1 freq
viewing - 6 freq
vonoq - 1 freq
vying - 1 freq
vvmj - 1 freq
vance - 6 freq
vmas - 1 freq
MetaPhone code - FNS
fence - 154 freq
fancy - 281 freq
vans - 22 freq
phone's - 9 freq
funcy - 90 freq
venus - 32 freq
veins - 44 freq
'fancy - 4 freq
fans - 141 freq
phones - 50 freq
van's - 1 freq
fins - 37 freq
founess - 1 freq
vines - 6 freq
'fines - 1 freq
venice - 11 freq
fainness - 3 freq
funs - 7 freq
fines - 7 freq
fownes - 2 freq
fin's - 1 freq
faansee - 1 freq
fansee - 1 freq
funsee - 1 freq
fauns - 1 freq
'venus - 1 freq
venues - 19 freq
fannies - 12 freq
vanessa - 1 freq
fince - 5 freq
fan's - 3 freq
'funcy - 1 freq
vonnie's - 1 freq
funess - 1 freq
yvonne's - 13 freq
fauncy - 3 freq
fancie - 17 freq
viennese - 2 freq
finesse - 2 freq
foons - 7 freq
fanny's - 1 freq
'fancy' - 1 freq
vinci - 1 freq
fens - 3 freq
vanes - 2 freq
fines' - 1 freq
fionza - 1 freq
fancy' - 1 freq
fons - 1 freq
founs - 9 freq
faan's - 1 freq
funns - 1 freq
vaines - 1 freq
funcie - 1 freq
fonns - 1 freq
feinis - 2 freq
€˜fancy - 2 freq
fansy - 1 freq
feyness - 1 freq
fiona's - 1 freq
finns - 1 freq
€œfancy - 1 freq
€™fancy - 1 freq
faun's - 3 freq
finÂ’s - 1 freq
vinnyÂ’s - 1 freq
funzo - 1 freq
fannys - 1 freq
ghini's - 1 freq
fanniiiieees - 1 freq
phoneÂ’s - 1 freq
vance - 6 freq
fones - 1 freq
VEINS
Time to execute Levenshtein function - 0.192077 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 - 0.345430 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 - 0.038115 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 - 0.000947 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.