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 valenbisi in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
valenbisi (0) - 1 freq
vaelensi (3) - 2 freq
vaclensi (3) - 1 freq
valencia (3) - 8 freq
valencian (3) - 6 freq
valentino (3) - 1 freq
valentine (3) - 23 freq
valencià (3) - 1 freq
alibis (4) - 2 freq
valantine (4) - 1 freq
vainist (4) - 1 freq
valais (4) - 1 freq
valencia's (4) - 2 freq
valencians (4) - 1 freq
varnish (4) - 6 freq
maleness (4) - 1 freq
talents (4) - 15 freq
vainish (4) - 9 freq
vales (4) - 4 freq
haleness (4) - 1 freq
talent's (4) - 1 freq
valentines (4) - 8 freq
plenish (4) - 6 freq
lenish (4) - 1 freq
parentis (4) - 6 freq
valenbisi (0) - 1 freq
vaelensi (4) - 2 freq
valentino (5) - 1 freq
valencian (5) - 6 freq
valentine (5) - 23 freq
valencia (5) - 8 freq
vaclensi (5) - 1 freq
vales (6) - 4 freq
talents (6) - 15 freq
haleness (6) - 1 freq
valentines (6) - 8 freq
valencians (6) - 1 freq
valence's (6) - 1 freq
maleness (6) - 1 freq
valantine (6) - 1 freq
alibis (6) - 2 freq
valais (6) - 1 freq
valencia's (6) - 2 freq
valencià (6) - 1 freq
wileness (7) - 1 freq
slebs (7) - 1 freq
relents (7) - 3 freq
sylinsis (7) - 1 freq
walings (7) - 2 freq
venus (7) - 32 freq
SoundEx code - V451
volumptuous - 1 freq
valenbisi - 1 freq
MetaPhone code - FLNBS
valenbisi - 1 freq
VALENBISI
Time to execute Levenshtein function - 0.213416 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 - 0.395887 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 - 0.027704 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 - 0.037787 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 - 0.000909 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.