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 upmerkat in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
upmerkat (0) - 1 freq
upmarket (2) - 1 freq
merkat (2) - 6 freq
unmerkit (2) - 2 freq
uppercut (3) - 1 freq
perkit (3) - 3 freq
temerat (3) - 1 freq
unmarkt (3) - 1 freq
mereat (3) - 1 freq
merket (3) - 7 freq
merkt (3) - 5 freq
merkit (3) - 32 freq
unmarkit (3) - 1 freq
i'merket (3) - 1 freq
mercat (3) - 67 freq
€˜mercat (3) - 1 freq
upbeat (3) - 4 freq
upmakkit (3) - 3 freq
upmairket (3) - 1 freq
remerkit (3) - 2 freq
smirkan (4) - 1 freq
unwarkit (4) - 1 freq
utteran (4) - 1 freq
mirkit (4) - 1 freq
sperkin (4) - 1 freq
upmerkat (0) - 1 freq
upmarket (2) - 1 freq
unmerkit (3) - 2 freq
upmairket (3) - 1 freq
merkat (3) - 6 freq
i'merket (4) - 1 freq
unmarkit (4) - 1 freq
upmakkit (4) - 3 freq
merkt (4) - 5 freq
remerkit (4) - 2 freq
merkit (4) - 32 freq
perkit (4) - 3 freq
unmarkt (4) - 1 freq
merket (4) - 7 freq
remarkit (5) - 5 freq
parket (5) - 3 freq
markit (5) - 18 freq
meerkit (5) - 1 freq
remarkt (5) - 7 freq
market (5) - 51 freq
mirkit (5) - 1 freq
smirkt (5) - 1 freq
parkt (5) - 1 freq
mereat (5) - 1 freq
temerat (5) - 1 freq
SoundEx code - U156
upmairket - 1 freq
upmarket - 1 freq
up-an-rinnin - 1 freq
upmerkat - 1 freq
up-in-arms - 1 freq
MetaPhone code - UPMRKT
upmairket - 1 freq
upmarket - 1 freq
upmerkat - 1 freq
UPMERKAT
Time to execute Levenshtein function - 0.214463 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 - 0.383559 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 - 0.029293 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 - 0.040572 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 - 0.000875 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.