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 spayver in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
spayver (0) - 2 freq
spaver (1) - 3 freq
spayce (2) - 2 freq
splyter (2) - 2 freq
spalter (2) - 2 freq
syver (2) - 4 freq
payer (2) - 1 freq
slaver (2) - 6 freq
spanker (2) - 1 freq
spaker (2) - 3 freq
slaiver (2) - 1 freq
spaffer (2) - 1 freq
spanner (2) - 11 freq
sayven (2) - 1 freq
shaver (2) - 2 freq
swaver (2) - 1 freq
spaeker (2) - 20 freq
spacer (2) - 2 freq
shaker (3) - 1 freq
paerer (3) - 1 freq
'prayer (3) - 1 freq
speeder (3) - 16 freq
sharper (3) - 1 freq
fayter (3) - 1 freq
aver (3) - 4 freq
spayver (0) - 2 freq
spaver (1) - 3 freq
slaiver (3) - 1 freq
shaver (3) - 2 freq
spacer (3) - 2 freq
spaker (3) - 3 freq
spaeker (3) - 20 freq
swaver (3) - 1 freq
slaver (3) - 6 freq
syver (3) - 4 freq
slavery (4) - 12 freq
peever (4) - 1 freq
sever (4) - 3 freq
solver (4) - 1 freq
spair (4) - 1 freq
sliver (4) - 8 freq
spare (4) - 98 freq
spieler (4) - 1 freq
speider (4) - 1 freq
steiver (4) - 1 freq
sper (4) - 1 freq
speer (4) - 21 freq
spier (4) - 42 freq
siever (4) - 2 freq
spar (4) - 14 freq
SoundEx code - S116
spaver - 3 freq
savwver - 1 freq
ss-beefers - 1 freq
spayver - 2 freq
saveafortune - 1 freq
spaffer's - 2 freq
spaffer - 1 freq
MetaPhone code - SPFR
spaver - 3 freq
spayver - 2 freq
spaffer - 1 freq
SPAYVER
Time to execute Levenshtein function - 0.297067 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 - 0.431920 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 - 0.027584 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 - 0.037646 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 - 0.000818 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.