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 feasible in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
feasible (0) - 2 freq
faisible (2) - 3 freq
feable (2) - 1 freq
sensible (2) - 34 freq
poasible (2) - 1 freq
veisible (2) - 1 freq
veesible (2) - 4 freq
fearie (3) - 2 freq
fertile (3) - 22 freq
terrible (3) - 136 freq
fable (3) - 8 freq
fasil (3) - 1 freq
peasie (3) - 1 freq
faside (3) - 1 freq
possible (3) - 179 freq
ansible (3) - 2 freq
feastie (3) - 1 freq
seaside (3) - 10 freq
easily (3) - 60 freq
flexible (3) - 7 freq
resile (3) - 1 freq
sinsible (3) - 1 freq
legible (3) - 3 freq
edible (3) - 3 freq
dwaible (3) - 2 freq
feasible (0) - 2 freq
faisible (2) - 3 freq
veesible (3) - 4 freq
poasible (3) - 1 freq
veisible (3) - 1 freq
feable (3) - 1 freq
fissile (4) - 1 freq
ansible (4) - 2 freq
visible (4) - 25 freq
fasil (4) - 1 freq
risible (4) - 1 freq
fable (4) - 8 freq
feeble (4) - 10 freq
sensible (4) - 34 freq
visibly (5) - 9 freq
yaisable (5) - 1 freq
paesable (5) - 1 freq
fumble (5) - 1 freq
taible (5) - 2 freq
disable (5) - 1 freq
facile (5) - 2 freq
easle (5) - 2 freq
friable (5) - 2 freq
feasibility (5) - 6 freq
affable (5) - 1 freq
SoundEx code - F214
fish-flunkey - 2 freq
fush-flunkie - 2 freq
feasible - 2 freq
fishbowl - 1 freq
faisible - 3 freq
feasibility - 6 freq
fixable - 1 freq
MetaPhone code - FSBL
visible - 25 freq
visibly - 9 freq
feasible - 2 freq
veesible - 4 freq
faisible - 3 freq
vizzie-bell - 1 freq
visable - 1 freq
veisible - 1 freq
FEASIBLE
Time to execute Levenshtein function - 0.366435 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 - 0.815429 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 - 0.077643 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 - 0.084321 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 - 0.006888 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.