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 vastly in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
vastly (0) - 3 freq
lastly (1) - 5 freq
vainly (2) - 3 freq
aaftly (2) - 1 freq
aptly (2) - 4 freq
ghastly (2) - 3 freq
partly (2) - 10 freq
castle (2) - 157 freq
maistly (2) - 226 freq
laistly (2) - 2 freq
tasty (2) - 45 freq
hasty (2) - 6 freq
gaistly (2) - 1 freq
maestly (2) - 5 freq
easily (2) - 60 freq
justly (2) - 3 freq
bastle (2) - 1 freq
nasty (2) - 27 freq
faitly (2) - 2 freq
rustly (2) - 1 freq
saftly (2) - 64 freq
factly (2) - 1 freq
listly (2) - 1 freq
easely (2) - 1 freq
vestry (2) - 3 freq
vastly (0) - 3 freq
lastly (2) - 5 freq
rustly (3) - 1 freq
bastle (3) - 1 freq
maestly (3) - 5 freq
justly (3) - 3 freq
mostly (3) - 17 freq
costly (3) - 4 freq
vast (3) - 36 freq
hastily (3) - 22 freq
gaistly (3) - 1 freq
vestry (3) - 3 freq
listly (3) - 1 freq
maistly (3) - 226 freq
castle (3) - 157 freq
laistly (3) - 2 freq
vesta (4) - 2 freq
vauntily (4) - 1 freq
vested (4) - 2 freq
moistly (4) - 1 freq
castel (4) - 8 freq
visibly (4) - 9 freq
avast (4) - 3 freq
tistle (4) - 3 freq
vista (4) - 3 freq
SoundEx code - V234
vastly - 3 freq
victuals - 5 freq
victual - 1 freq
visitwales - 1 freq
MetaPhone code - FSTL
ghaistlie - 1 freq
fustle - 3 freq
vastly - 3 freq
ghostly - 16 freq
ghastly - 3 freq
ghaistly - 13 freq
festool - 2 freq
VASTLY
Time to execute Levenshtein function - 0.215839 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 - 0.364484 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 - 0.035424 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 - 0.043379 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 - 0.000938 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.