A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to foibles in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
foibles (0) - 2 freq
hobbles (2) - 2 freq
forbyes (2) - 6 freq
roubles (2) - 1 freq
cobles (2) - 2 freq
oiles (2) - 1 freq
paibles (2) - 1 freq
nobles (2) - 7 freq
bibles (2) - 6 freq
fumbles (2) - 2 freq
files (2) - 108 freq
fibres (2) - 2 freq
doubles (2) - 11 freq
doobles (2) - 2 freq
fables (2) - 10 freq
bobbles (2) - 1 freq
cobbles (2) - 10 freq
forbes (2) - 10 freq
bible (3) - 93 freq
focuses (3) - 2 freq
foulest (3) - 1 freq
folks (3) - 110 freq
toiled (3) - 2 freq
fyles (3) - 44 freq
boles (3) - 1 freq
foibles (0) - 2 freq
fables (2) - 10 freq
fumbles (3) - 2 freq
files (3) - 108 freq
doubles (3) - 11 freq
bibles (3) - 6 freq
fibres (3) - 2 freq
doobles (3) - 2 freq
nobles (3) - 7 freq
roubles (3) - 1 freq
cobles (3) - 2 freq
paibles (3) - 1 freq
tables (4) - 83 freq
females (4) - 9 freq
faimiles (4) - 2 freq
folies (4) - 1 freq
fiels (4) - 23 freq
nables (4) - 1 freq
fable (4) - 8 freq
foalies (4) - 1 freq
fabled (4) - 3 freq
feefles (4) - 1 freq
fowls (4) - 1 freq
enables (4) - 1 freq
faimlies (4) - 47 freq
SoundEx code - F142
fables - 10 freq
feefles - 1 freq
foibles - 2 freq
fabulous - 9 freq
foveoles - 1 freq
fuffie-like - 2 freq
fabils - 2 freq
fufills - 1 freq
fifelike - 3 freq
MetaPhone code - FBLS
fables - 10 freq
foibles - 2 freq
fabulous - 9 freq
fabils - 2 freq
FOIBLES
Time to execute Levenshtein function - 0.484567 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 - 0.803273 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 - 0.029037 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 - 0.091800 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 - 0.000770 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.