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 bumpin in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
bumpin (0) - 9 freq
bumin (1) - 1 freq
humpin (1) - 1 freq
pumpin (1) - 17 freq
lumpin (1) - 1 freq
bampin (1) - 1 freq
mumpin (1) - 6 freq
burpin (1) - 1 freq
bumping (1) - 1 freq
bummin (1) - 20 freq
bumpit (1) - 4 freq
jumpin (1) - 61 freq
dumpin (1) - 5 freq
sumyin (2) - 1 freq
buyin (2) - 84 freq
bukin (2) - 1 freq
buzzin (2) - 37 freq
hummin (2) - 18 freq
dumpie (2) - 1 freq
sumhin (2) - 37 freq
dumpit (2) - 6 freq
buxin (2) - 2 freq
buckin (2) - 3 freq
wumpil (2) - 1 freq
dupin (2) - 1 freq
bumpin (0) - 9 freq
bampin (1) - 1 freq
bumping (2) - 1 freq
bummin (2) - 20 freq
bumpit (2) - 4 freq
dumpin (2) - 5 freq
burpin (2) - 1 freq
jumpin (2) - 61 freq
mumpin (2) - 6 freq
bumin (2) - 1 freq
humpin (2) - 1 freq
pumpin (2) - 17 freq
lumpin (2) - 1 freq
bumper (3) - 3 freq
rampin (3) - 4 freq
jimpin (3) - 4 freq
bammin (3) - 3 freq
gampin (3) - 1 freq
bump (3) - 23 freq
beepin (3) - 3 freq
lumpen (3) - 1 freq
campin (3) - 4 freq
bombin (3) - 4 freq
lampin (3) - 6 freq
bumpy (3) - 1 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 - 0.276706 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 - 0.377957 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 - 0.028228 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 - 0.036713 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 - 0.000833 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.