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 fabulous in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
fabulous (0) - 9 freq
nebulous (2) - 2 freq
faumous (2) - 3 freq
faamous (3) - 1 freq
fautors (3) - 1 freq
faulds (3) - 21 freq
fabils (3) - 2 freq
parlous (3) - 1 freq
raucous (3) - 8 freq
callous (3) - 2 freq
famous (3) - 105 freq
fashious (3) - 20 freq
garrulous (3) - 1 freq
gallous (3) - 1 freq
faults (3) - 3 freq
allous (3) - 27 freq
fables (3) - 10 freq
vacuous (3) - 2 freq
populous (3) - 1 freq
fauls (3) - 2 freq
aqueous (3) - 1 freq
fawmous (3) - 10 freq
fallout (3) - 1 freq
cumulous (3) - 1 freq
jailous (3) - 1 freq
fabulous (0) - 9 freq
nebulous (3) - 2 freq
fabils (3) - 2 freq
fables (3) - 10 freq
gablos (4) - 1 freq
fabius (4) - 2 freq
fauls (4) - 2 freq
faumous (4) - 3 freq
cabals (5) - 4 freq
faalls (5) - 1 freq
falls (5) - 15 freq
folloos (5) - 1 freq
fouls (5) - 2 freq
nables (5) - 1 freq
feuls (5) - 1 freq
foulis (5) - 1 freq
cables (5) - 6 freq
rabels (5) - 1 freq
foibles (5) - 2 freq
fals (5) - 1 freq
fallaes (5) - 1 freq
fabled (5) - 3 freq
floes (5) - 1 freq
gables (5) - 4 freq
buls (5) - 1 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
FABULOUS
Time to execute Levenshtein function - 0.200418 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 - 0.361989 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 - 0.027607 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 - 0.037856 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 - 0.000908 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.