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 fishcakes in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
fishcakes (0) - 5 freq
fishwifes (3) - 2 freq
aitcakes (3) - 3 freq
fishes (3) - 17 freq
fisheries (3) - 6 freq
fishwives (3) - 2 freq
fishies (3) - 4 freq
mishtake (3) - 1 freq
mistakes (3) - 19 freq
shakes (3) - 22 freq
fish-scale (4) - 1 freq
shades (4) - 24 freq
fishie (4) - 2 freq
fishwife (4) - 2 freq
€˜snakes (4) - 1 freq
shanes (4) - 1 freq
misgaes (4) - 1 freq
fish-wives (4) - 1 freq
pishwater (4) - 6 freq
shakers (4) - 2 freq
scares (4) - 5 freq
shaves (4) - 15 freq
fashes (4) - 5 freq
cakes (4) - 54 freq
kishies (4) - 4 freq
fishcakes (0) - 5 freq
fishies (5) - 4 freq
shakes (5) - 22 freq
fisheries (5) - 6 freq
fishwives (5) - 2 freq
fishwifes (5) - 2 freq
fishes (5) - 17 freq
fasces (6) - 1 freq
fashes (6) - 5 freq
fisher's (6) - 3 freq
fishnets (6) - 2 freq
fasheries (6) - 1 freq
fishers (6) - 13 freq
fishin's (6) - 1 freq
pushbikes (6) - 1 freq
feshes (6) - 1 freq
shaks (6) - 25 freq
shucks (6) - 2 freq
shacks (6) - 1 freq
mishtake (6) - 1 freq
mistakes (6) - 19 freq
aitcakes (6) - 3 freq
flicks (7) - 7 freq
hicks (7) - 5 freq
feshers (7) - 1 freq
SoundEx code - F222
fishcakes - 5 freq
focuses - 2 freq
fkjyyzwaos - 1 freq
fqusuz - 1 freq
fkeecuzflk - 1 freq
MetaPhone code - FXKKS
fishcakes - 5 freq
FISHCAKES
Time to execute Levenshtein function - 0.200975 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 - 0.370849 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 - 0.027293 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 - 0.037555 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 - 0.000972 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.