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 wclark in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
wclark (0) - 1 freq
clark (1) - 35 freq
clare (2) - 12 freq
'clart (2) - 1 freq
cark (2) - 6 freq
clarke (2) - 7 freq
claik (2) - 24 freq
i'lark (2) - 1 freq
waark (2) - 110 freq
clarky (2) - 2 freq
clack (2) - 9 freq
clerk (2) - 25 freq
sjclark (2) - 1 freq
clank (2) - 2 freq
clarks (2) - 6 freq
clart (2) - 40 freq
lark (2) - 24 freq
clara (2) - 9 freq
clak (2) - 2 freq
wark (2) - 903 freq
warn (3) - 35 freq
crak (3) - 4 freq
larks (3) - 4 freq
trark (3) - 1 freq
declare (3) - 25 freq
wclark (0) - 1 freq
clark (2) - 35 freq
clarky (3) - 2 freq
clarke (3) - 7 freq
clerk (3) - 25 freq
clart (4) - 40 freq
clarks (4) - 6 freq
clak (4) - 2 freq
clerke (4) - 1 freq
wark (4) - 903 freq
clank (4) - 2 freq
lark (4) - 24 freq
clara (4) - 9 freq
cark (4) - 6 freq
sjclark (4) - 1 freq
clare (4) - 12 freq
claik (4) - 24 freq
'clart (4) - 1 freq
clack (4) - 9 freq
waark (4) - 110 freq
i'lark (4) - 1 freq
work (5) - 674 freq
aclock (5) - 1 freq
clok (5) - 2 freq
clarty (5) - 56 freq
SoundEx code - W246
weasel-hertit - 1 freq
wagglers - 1 freq
wclark - 1 freq
weeclairemcg - 1 freq
MetaPhone code - KLRK
clark - 35 freq
clerk - 25 freq
clarke - 7 freq
clerke - 1 freq
glurk - 1 freq
clarky - 2 freq
€˜clerk - 1 freq
wclark - 1 freq
WCLARK
Time to execute Levenshtein function - 0.387292 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 - 0.604355 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 - 0.071248 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 - 0.047941 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 - 0.032057 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.