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 blue-melt in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
blue-melt (0) - 1 freq
bluebell (3) - 67 freq
bummelt (3) - 1 freq
blue-litt (3) - 1 freq
bellement (4) - 3 freq
bauchelt (4) - 3 freq
blueness (4) - 2 freq
blue-green (4) - 2 freq
bluecoat (4) - 1 freq
beelt (4) - 1 freq
blue-eened (4) - 1 freq
blemt (4) - 2 freq
bru-jet (4) - 1 freq
blue-white (4) - 1 freq
lue-seek (4) - 1 freq
bleert (4) - 1 freq
pummelt (4) - 1 freq
bluebells (4) - 11 freq
blenket (4) - 1 freq
mummelt (4) - 13 freq
blue-blae (4) - 1 freq
bakemeat (4) - 1 freq
blue-ray (4) - 1 freq
bundelt (4) - 1 freq
bluegreen (4) - 1 freq
blue-melt (0) - 1 freq
blue-litt (5) - 1 freq
bummelt (5) - 1 freq
blue-white (6) - 1 freq
blue-blae (6) - 1 freq
blae-whyt (6) - 1 freq
blempt (6) - 2 freq
blemt (6) - 2 freq
bummilt (6) - 1 freq
blamet (6) - 1 freq
bluebell (6) - 67 freq
bellement (6) - 3 freq
element (7) - 45 freq
plummet (7) - 2 freq
hummelt (7) - 2 freq
trummelt (7) - 1 freq
buckelt (7) - 2 freq
gemmelt (7) - 1 freq
murmelt (7) - 2 freq
bleestert (7) - 1 freq
blue-in (7) - 1 freq
blume (7) - 3 freq
bleet (7) - 2 freq
bluest (7) - 1 freq
whummelt (7) - 5 freq
SoundEx code - B454
blameless - 2 freq
belnaloob - 4 freq
belnaloob's - 1 freq
blinly - 2 freq
blue-melt - 1 freq
balloon'll - 1 freq
MetaPhone code - BLMLT
blue-melt - 1 freq
BLUE-MELT
Time to execute Levenshtein function - 0.245054 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 - 0.456143 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 - 0.028040 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 - 0.038433 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 - 0.000946 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.