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 bumpin in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
bumpin (0) - 9 freq
bampin (1) - 1 freq
mumpin (1) - 6 freq
pumpin (1) - 19 freq
humpin (1) - 1 freq
bumpit (1) - 4 freq
bummin (1) - 20 freq
bumping (1) - 1 freq
dumpin (1) - 5 freq
bumin (1) - 1 freq
burpin (1) - 1 freq
jumpin (1) - 61 freq
lumpin (1) - 1 freq
bammin (2) - 3 freq
dumpid (2) - 1 freq
sumhin (2) - 37 freq
wummin (2) - 233 freq
dumbin (2) - 2 freq
mumphin (2) - 1 freq
humping (2) - 1 freq
kempin (2) - 5 freq
mumping (2) - 1 freq
bumph (2) - 3 freq
plumpin (2) - 9 freq
bumpy (2) - 1 freq
bumpin (0) - 9 freq
bampin (1) - 1 freq
dumpin (2) - 5 freq
bumin (2) - 1 freq
lumpin (2) - 1 freq
bumping (2) - 1 freq
jumpin (2) - 61 freq
burpin (2) - 1 freq
pumpin (2) - 19 freq
bummin (2) - 20 freq
humpin (2) - 1 freq
mumpin (2) - 6 freq
bumpit (2) - 4 freq
limpin (3) - 3 freq
bump (3) - 23 freq
bumps (3) - 9 freq
bumper (3) - 4 freq
gampin (3) - 1 freq
jumpan (3) - 8 freq
boppin (3) - 1 freq
rampin (3) - 4 freq
jimpin (3) - 4 freq
rompin (3) - 2 freq
bumped (3) - 23 freq
tempin (3) - 4 freq
SoundEx code - B515
bumpin - 9 freq
bombin - 4 freq
boom-boom-boomin - 1 freq
bombing - 2 freq
bampin - 1 freq
bonbons - 3 freq
boom-boom-boom - 1 freq
beeinmabonnet - 1 freq
bumping - 1 freq
MetaPhone code - BMPN
bumpin - 9 freq
bampin - 1 freq
BUMPIN
Time to execute Levenshtein function - 0.185120 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 - 0.434603 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 - 0.063475 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 - 0.039438 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 - 0.001076 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.