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 mcfables in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
mcfables (0) - 1 freq
fables (2) - 10 freq
mccabes (2) - 1 freq
cables (2) - 6 freq
fable (3) - 8 freq
fabled (3) - 3 freq
mcfarlanes (3) - 1 freq
gables (3) - 4 freq
mumbles (3) - 4 freq
parables (3) - 9 freq
measles (3) - 5 freq
miralles (3) - 2 freq
carles (3) - 6 freq
cable (3) - 12 freq
enables (3) - 1 freq
scraibles (3) - 1 freq
charles (3) - 51 freq
cradles (3) - 6 freq
chablis (3) - 1 freq
mccabe (3) - 2 freq
vocables (3) - 1 freq
cobbles (3) - 10 freq
coagles (3) - 1 freq
stables (3) - 18 freq
mcarle (3) - 2 freq
mcfables (0) - 1 freq
mccabes (4) - 1 freq
cables (4) - 6 freq
fables (4) - 10 freq
vocables (5) - 1 freq
chablis (5) - 1 freq
cobbles (5) - 10 freq
marbles (5) - 5 freq
cobles (5) - 2 freq
mccabe's (5) - 4 freq
mcfarlan (5) - 10 freq
scraibles (5) - 1 freq
mcfarlanes (5) - 1 freq
mumbles (5) - 4 freq
nables (6) - 1 freq
mcfadden (6) - 2 freq
scales (6) - 22 freq
mochles (6) - 7 freq
mcphails (6) - 3 freq
michaels (6) - 1 freq
mobiles (6) - 5 freq
mable (6) - 2 freq
scuffles (6) - 2 freq
foibles (6) - 2 freq
muckles (6) - 1 freq
SoundEx code - M211
mcfables - 1 freq
misbehave - 1 freq
misbehaves - 2 freq
misbehavin - 1 freq
mis-behaviour - 1 freq
mspaberdeen - 12 freq
missbabington - 3 freq
MetaPhone code - MKFBLS
mcfables - 1 freq
MCFABLES
Time to execute Levenshtein function - 0.208503 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 - 0.362790 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 - 0.028507 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 - 0.037869 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 - 0.000952 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.