A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example sonsie

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Similar words to mumpin in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
mumpin (0) - 6 freq
mumphin (1) - 1 freq
mumping (1) - 1 freq
dumpin (1) - 5 freq
jumpin (1) - 61 freq
pumpin (1) - 17 freq
mumpit (1) - 2 freq
humpin (1) - 1 freq
lumpin (1) - 1 freq
bumpin (1) - 9 freq
campin (2) - 4 freq
muffin (2) - 16 freq
sumin (2) - 6 freq
gulpin (2) - 4 freq
sumkin (2) - 1 freq
muttin (2) - 3 freq
humpie (2) - 1 freq
rumlin (2) - 1 freq
tumlin (2) - 1 freq
muvin (2) - 12 freq
cumin (2) - 70 freq
clumpin (2) - 1 freq
dumpie (2) - 1 freq
cummin (2) - 30 freq
mimin (2) - 2 freq
mumpin (0) - 6 freq
mumpit (2) - 2 freq
lumpin (2) - 1 freq
bumpin (2) - 9 freq
pumpin (2) - 17 freq
humpin (2) - 1 freq
mumphin (2) - 1 freq
jumpin (2) - 61 freq
mumping (2) - 1 freq
dumpin (2) - 5 freq
sumpn (3) - 13 freq
mumps (3) - 3 freq
mump (3) - 3 freq
moppin (3) - 2 freq
lampin (3) - 6 freq
mopin (3) - 1 freq
bampin (3) - 1 freq
jumpan (3) - 8 freq
tempin (3) - 4 freq
jimpin (3) - 4 freq
moupin (3) - 1 freq
mumped (3) - 1 freq
kempin (3) - 5 freq
momin (3) - 10 freq
mumph (3) - 1 freq
SoundEx code - M515
mumpin - 6 freq
'moonbeam - 1 freq
muinbeam - 1 freq
moonbeam - 1 freq
muinbeams - 1 freq
munebeams - 1 freq
mumphin - 1 freq
moonbeamsdidit - 2 freq
mumping - 1 freq
MetaPhone code - MMPN
mumpin - 6 freq
MUMPIN
Time to execute Levenshtein function - 0.311267 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 - 0.469059 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 - 0.026884 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 - 0.040937 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 - 0.001096 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.