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 kbdnsehr in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
kbdnsehr (0) - 1 freq
bender (4) - 5 freq
danser (4) - 1 freq
bunder (4) - 1 freq
kidneys (4) - 6 freq
kensho (4) - 1 freq
binder (4) - 23 freq
kinset (4) - 1 freq
banger (4) - 5 freq
unnser (4) - 8 freq
kaiser (4) - 1 freq
kjenner (4) - 1 freq
spenser (4) - 1 freq
deserr (4) - 1 freq
'unnser (4) - 2 freq
insear (4) - 1 freq
tenser (4) - 1 freq
bunsen (4) - 28 freq
aunser (4) - 2 freq
kbaker (4) - 2 freq
banker (4) - 12 freq
kidder (4) - 4 freq
bowser (4) - 4 freq
toonser (4) - 7 freq
bunter (4) - 8 freq
kbdnsehr (0) - 1 freq
denser (7) - 2 freq
kidneys (7) - 6 freq
kensho (7) - 1 freq
danser (7) - 1 freq
banesair (8) - 1 freq
kindness (8) - 45 freq
badness (8) - 12 freq
kinship (8) - 4 freq
banshee (8) - 15 freq
bunchry (8) - 1 freq
anser (8) - 5 freq
ebner (8) - 5 freq
keener (8) - 6 freq
binner (8) - 2 freq
kidney (8) - 10 freq
unser (8) - 3 freq
buncher (8) - 1 freq
kosher (8) - 1 freq
dunsh (8) - 1 freq
benshees (8) - 2 freq
btinher (8) - 1 freq
banister (8) - 2 freq
konshis (8) - 1 freq
bonshaw (8) - 1 freq
SoundEx code - K135
kaftan - 1 freq
kipeet-nosed - 1 freq
keepitna - 1 freq
kipfatnh - 1 freq
kbdnsehr - 1 freq
MetaPhone code - KBTNSR
kbdnsehr - 1 freq
KBDNSEHR
Time to execute Levenshtein function - 0.223447 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 - 0.411375 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 - 0.027717 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 - 0.037692 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 - 0.000904 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.