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 fifelike in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
fifelike (0) - 3 freq
wiselike (2) - 6 freq
fitlike (2) - 1 freq
wicelike (2) - 11 freq
kin-like (3) - 1 freq
fierie (3) - 2 freq
saelike (3) - 3 freq
sichlike (3) - 1 freq
wice-like (3) - 3 freq
faceline (3) - 2 freq
fine-lik (3) - 1 freq
safilike (3) - 1 freq
sic-like (3) - 11 freq
finerie (3) - 2 freq
saimelike (3) - 1 freq
feline (3) - 16 freq
saftlike (3) - 6 freq
wycelike (3) - 12 freq
wise-like (3) - 3 freq
sik-like (3) - 2 freq
siklike (3) - 1 freq
likelie (3) - 11 freq
somelike (3) - 2 freq
finalise (3) - 2 freq
ficklie (3) - 2 freq
fifelike (0) - 3 freq
fitlike (3) - 1 freq
safilike (4) - 1 freq
filikie (4) - 2 freq
wiselike (4) - 6 freq
wicelike (4) - 11 freq
wicelik (5) - 1 freq
siblike (5) - 15 freq
filie (5) - 19 freq
freelie (5) - 3 freq
'belike (5) - 3 freq
daftlike (5) - 1 freq
affline (5) - 2 freq
samelike (5) - 2 freq
siclike (5) - 90 freq
dislike (5) - 6 freq
offline (5) - 1 freq
flake (5) - 7 freq
finfolk (5) - 1 freq
fluke (5) - 1 freq
folke (5) - 1 freq
belike (5) - 5 freq
bienlike (5) - 2 freq
fiftie (5) - 12 freq
fidelity (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 - FFLK
fuffie-like - 2 freq
fifelike - 3 freq
FIFELIKE
Time to execute Levenshtein function - 0.291102 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 - 0.356666 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 - 0.030626 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 - 0.043189 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 - 0.000990 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.