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 cockerel in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
cockerel (0) - 5 freq
cockerel's (2) - 1 freq
cocker (2) - 1 freq
mackerel (2) - 8 freq
cocked (3) - 10 freq
cock-eyed (3) - 1 freq
clockers (3) - 6 freq
coveret (3) - 2 freq
comperen (3) - 1 freq
conker (3) - 1 freq
cockade (3) - 3 freq
crockery (3) - 2 freq
comperes (3) - 1 freq
cockpen (3) - 1 freq
covered (3) - 119 freq
docker (3) - 4 freq
rockeen (3) - 1 freq
conkers (3) - 3 freq
cocktail (3) - 21 freq
cornered (3) - 6 freq
couered (3) - 1 freq
locker (3) - 3 freq
rockery (3) - 1 freq
cockled (3) - 2 freq
rocketed (3) - 1 freq
cockerel (0) - 5 freq
cocker (3) - 1 freq
mackerel (3) - 8 freq
cocktail (4) - 21 freq
cockle (4) - 4 freq
cockerel's (4) - 1 freq
cockler (5) - 1 freq
cock-eyed (5) - 1 freq
rocker (5) - 3 freq
lockers (5) - 4 freq
cookery (5) - 4 freq
cockles (5) - 6 freq
tuckered (5) - 1 freq
cooker (5) - 21 freq
clocker (5) - 3 freq
backerly (5) - 1 freq
cackle (5) - 7 freq
sickerly (5) - 2 freq
cankered (5) - 1 freq
cockbrig (5) - 2 freq
puckered (5) - 3 freq
bickered (5) - 1 freq
dockers (5) - 12 freq
mockery (5) - 9 freq
cockney (5) - 8 freq
SoundEx code - C264
cockerel - 5 freq
cockerel's - 1 freq
casserole - 3 freq
casseroled - 1 freq
MetaPhone code - KKRL
cockerel - 5 freq
COCKEREL
Time to execute Levenshtein function - 0.215534 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 - 0.412624 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 - 0.027543 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 - 0.038651 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 - 0.000884 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.