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 bummlin in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
bummlin (0) - 2 freq
jummlin (1) - 1 freq
wummlin (1) - 1 freq
bummin (1) - 20 freq
tummlin (1) - 26 freq
rummlin (1) - 24 freq
fummlin (1) - 4 freq
bummelin (1) - 1 freq
bumflin (1) - 1 freq
mummlin (1) - 7 freq
mummlit (2) - 2 freq
wummin (2) - 233 freq
rumplin (2) - 1 freq
dumplin (2) - 25 freq
grummlin (2) - 7 freq
trummlin (2) - 1 freq
tummlan (2) - 1 freq
bustlin (2) - 4 freq
stummlin (2) - 1 freq
crummlin (2) - 8 freq
burlin (2) - 8 freq
cummin (2) - 30 freq
rummelin (2) - 1 freq
bammin (2) - 3 freq
fumblin (2) - 1 freq
bummlin (0) - 2 freq
bummelin (1) - 1 freq
fummlin (2) - 4 freq
bumflin (2) - 1 freq
rummlin (2) - 24 freq
mummlin (2) - 7 freq
tummlin (2) - 26 freq
wummlin (2) - 1 freq
jummlin (2) - 1 freq
bummin (2) - 20 freq
rummilin (3) - 1 freq
gammlin (3) - 5 freq
mummilin (3) - 1 freq
tummelin (3) - 1 freq
bammin (3) - 3 freq
rummlan (3) - 1 freq
rummelin (3) - 1 freq
wammlin (3) - 6 freq
waummlin (3) - 1 freq
mummlan (3) - 2 freq
rammlin (3) - 2 freq
tummlan (3) - 1 freq
hummin (4) - 18 freq
gummin (4) - 1 freq
bulin (4) - 1 freq
SoundEx code - B545
bummlin - 2 freq
bummelin - 1 freq
bunlan - 1 freq
bmilliant - 1 freq
MetaPhone code - BMLN
bummlin - 2 freq
bummelin - 1 freq
BUMMLIN
Time to execute Levenshtein function - 0.235875 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 - 0.400035 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 - 0.031900 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 - 0.042800 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 - 0.001107 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.