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 mumping in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
mumping (0) - 1 freq
mumpin (1) - 6 freq
pumping (1) - 2 freq
humping (1) - 1 freq
dumping (1) - 1 freq
bumping (1) - 1 freq
jumping (1) - 9 freq
mumphin (2) - 1 freq
cuming (2) - 1 freq
dumpling (2) - 3 freq
dumpin (2) - 5 freq
lumpin (2) - 1 freq
mumpit (2) - 2 freq
cupping (2) - 1 freq
pumpin (2) - 19 freq
musing (2) - 1 freq
humpin (2) - 1 freq
fuming (2) - 2 freq
humming (2) - 3 freq
jumpin (2) - 61 freq
burping (2) - 1 freq
mumbling (2) - 1 freq
whumping (2) - 1 freq
thumping (2) - 2 freq
bumming (2) - 2 freq
mumping (0) - 1 freq
bumping (2) - 1 freq
jumping (2) - 9 freq
dumping (2) - 1 freq
humping (2) - 1 freq
mumpin (2) - 6 freq
pumping (2) - 2 freq
camping (3) - 3 freq
bumming (4) - 2 freq
sumhing (4) - 4 freq
thumping (4) - 2 freq
whumping (4) - 1 freq
mumbling (4) - 1 freq
mugging (4) - 2 freq
numbing (4) - 1 freq
mumphin (4) - 1 freq
bumpin (4) - 9 freq
cumming (4) - 1 freq
cuming (4) - 1 freq
burping (4) - 1 freq
jumpin' (4) - 7 freq
mumpit (4) - 2 freq
cupping (4) - 1 freq
dumpin (4) - 5 freq
dumpling (4) - 3 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 - MMPNK
mumping - 1 freq
MUMPING
Time to execute Levenshtein function - 0.252370 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 - 0.414896 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 - 0.031852 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 - 0.037711 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 - 0.000870 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.