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 vhbnt in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
vhbnt (0) - 1 freq
vhn (2) - 1 freq
vhvnm (2) - 1 freq
ahint (2) - 748 freq
whant (2) - 15 freq
vhan (2) - 1 freq
vhbr (2) - 1 freq
ahent (2) - 102 freq
vent (2) - 6 freq
hent (2) - 6 freq
vaunt (2) - 1 freq
hunt (2) - 62 freq
hint (2) - 78 freq
chunt (2) - 4 freq
phont (2) - 3 freq
chant (2) - 26 freq
shent (2) - 3 freq
hant (2) - 6 freq
shunt (2) - 1 freq
vbt (2) - 1 freq
pwbnt (2) - 1 freq
vine (3) - 25 freq
rbnf (3) - 1 freq
cvht (3) - 1 freq
heet (3) - 2 freq
vhbnt (0) - 1 freq
phont (4) - 3 freq
chunt (4) - 4 freq
hint (4) - 78 freq
chant (4) - 26 freq
shunt (4) - 1 freq
pwbnt (4) - 1 freq
vbt (4) - 1 freq
hunt (4) - 62 freq
hant (4) - 6 freq
shent (4) - 3 freq
whant (4) - 15 freq
ahint (4) - 748 freq
vhvnm (4) - 1 freq
vaunt (4) - 1 freq
vhan (4) - 1 freq
vhn (4) - 1 freq
hent (4) - 6 freq
ahent (4) - 102 freq
vent (4) - 6 freq
vhbr (4) - 1 freq
vaunty (5) - 2 freq
chyint (5) - 1 freq
bint (5) - 10 freq
habit (5) - 50 freq
SoundEx code - V153
viewpoint - 6 freq
vivendi - 1 freq
vhbnt - 1 freq
vveebndydw - 1 freq
viewpoints - 1 freq
MetaPhone code - FBNT
vhbnt - 1 freq
VHBNT
Time to execute Levenshtein function - 0.481888 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 - 0.647215 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 - 0.029911 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 - 0.042581 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 - 0.000857 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.