A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example sonsie

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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
spacer (2) - 2 freq
spayce (2) - 2 freq
sayven (2) - 1 freq
spanner (2) - 11 freq
syver (2) - 4 freq
slaver (2) - 6 freq
spalter (2) - 2 freq
spaffer (2) - 1 freq
spanker (2) - 1 freq
slaiver (2) - 1 freq
swaver (2) - 1 freq
shaver (2) - 2 freq
splyter (2) - 2 freq
spaker (2) - 3 freq
payer (2) - 1 freq
spaeker (2) - 20 freq
server (3) - 2 freq
palaver (3) - 10 freq
soajer (3) - 1 freq
claiver (3) - 4 freq
paerer (3) - 1 freq
salve (3) - 5 freq
smawer (3) - 9 freq
spayver (0) - 2 freq
spaver (1) - 3 freq
spaker (3) - 3 freq
slaiver (3) - 1 freq
swaver (3) - 1 freq
shaver (3) - 2 freq
spaeker (3) - 20 freq
syver (3) - 4 freq
slaver (3) - 6 freq
spacer (3) - 2 freq
spiker (4) - 1 freq
silver (4) - 121 freq
peever (4) - 1 freq
speaker (4) - 65 freq
speeder (4) - 16 freq
siever (4) - 2 freq
spare (4) - 100 freq
sover (4) - 1 freq
steiver (4) - 1 freq
slavery (4) - 12 freq
sliver (4) - 8 freq
spar (4) - 14 freq
siver (4) - 2 freq
spooner (4) - 1 freq
sper (4) - 1 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 - 0.335378 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 - 0.608902 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 - 0.059914 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 - 0.089668 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 - 0.001107 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.