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 pitmirk in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
pitmirk (0) - 9 freq
pit-mirk (1) - 3 freq
pitt-mirk (2) - 1 freq
pintwirk (2) - 1 freq
pictirs (3) - 3 freq
mithir (3) - 15 freq
ritirs (3) - 1 freq
pattir (3) - 2 freq
pitit (3) - 5 freq
stirk (3) - 7 freq
pitril (3) - 7 freq
pitie (3) - 1 freq
piktir (3) - 1 freq
pithie (3) - 1 freq
ithirs (3) - 10 freq
pittin (3) - 392 freq
mirk (3) - 156 freq
€˜mirk (3) - 1 freq
pitin (3) - 1 freq
pityer (3) - 1 freq
o'mirk (3) - 1 freq
pictir (3) - 19 freq
smirk (3) - 63 freq
vimmirs (3) - 1 freq
themirk (3) - 1 freq
pitmirk (0) - 9 freq
pit-mirk (2) - 3 freq
primark (4) - 6 freq
pintwirk (4) - 1 freq
pitt-mirk (4) - 1 freq
petir (5) - 1 freq
pairk (5) - 35 freq
artwirk (5) - 1 freq
themirk (5) - 1 freq
pitter (5) - 2 freq
fitwark (5) - 3 freq
pmjrk (5) - 1 freq
pismires (5) - 1 freq
paitrick (5) - 1 freq
pittert (5) - 1 freq
fitmerks (5) - 9 freq
pitman (5) - 1 freq
stairk (5) - 4 freq
netwirk (5) - 2 freq
smirk (5) - 63 freq
patrick (5) - 32 freq
peintwirk (5) - 1 freq
pitril (5) - 7 freq
pattir (5) - 2 freq
mirk (5) - 156 freq
SoundEx code - P356
padanaram - 1 freq
pitmirk - 9 freq
pit-mirk - 3 freq
pitt-mirk - 1 freq
ptmurtong - 1 freq
MetaPhone code - PTMRK
pitmirk - 9 freq
pit-mirk - 3 freq
pitt-mirk - 1 freq
PITMIRK
Time to execute Levenshtein function - 0.209102 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 - 0.360987 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 - 0.027386 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 - 0.037151 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 - 0.000876 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.