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 viable in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
viable (0) - 11 freq
visable (1) - 1 freq
liable (1) - 4 freq
unable (2) - 19 freq
vibe (2) - 9 freq
ible (2) - 1 freq
amiable (2) - 1 freq
jibble (2) - 4 freq
enviable (2) - 1 freq
ville (2) - 1 freq
vale (2) - 8 freq
dibble (2) - 1 freq
friable (2) - 2 freq
able (2) - 430 freq
bible (2) - 93 freq
sable (2) - 2 freq
wimble (2) - 1 freq
unviable (2) - 1 freq
sitable (2) - 2 freq
yable (2) - 7 freq
nimble (2) - 1 freq
gibble (2) - 1 freq
fixable (2) - 1 freq
vikabe (2) - 1 freq
gable (2) - 8 freq
viable (0) - 11 freq
liable (2) - 4 freq
visable (2) - 1 freq
feable (3) - 1 freq
mable (3) - 2 freq
vile (3) - 14 freq
yable (3) - 7 freq
cable (3) - 10 freq
gable (3) - 8 freq
vocable (3) - 1 freq
variable (3) - 5 freq
yibble (3) - 3 freq
aible (3) - 2 freq
-able (3) - 1 freq
unviable (3) - 1 freq
fable (3) - 8 freq
sable (3) - 2 freq
arable (3) - 8 freq
enviable (3) - 1 freq
amiable (3) - 1 freq
ible (3) - 1 freq
unable (3) - 19 freq
vibe (3) - 9 freq
ville (3) - 1 freq
vale (3) - 8 freq
SoundEx code - V140
viable - 11 freq
vievely - 1 freq
MetaPhone code - FBL
feeble - 9 freq
feebly - 6 freq
fable - 8 freq
feable - 1 freq
viable - 11 freq
'feeble - 1 freq
fooball - 1 freq
VIABLE
Time to execute Levenshtein function - 0.181617 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 - 0.334903 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 - 0.027375 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 - 0.036408 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 - 0.000810 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.