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 jummle in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
jummle (0) - 5 freq
mummle (1) - 4 freq
jummled (1) - 1 freq
fummle (1) - 5 freq
wummle (1) - 1 freq
tummle (1) - 19 freq
rummle (1) - 21 freq
hummle (1) - 12 freq
rummlet (2) - 1 freq
jumpe (2) - 1 freq
jammie (2) - 2 freq
tummled (2) - 4 freq
brummle (2) - 1 freq
mummlet (2) - 2 freq
jummlin (2) - 1 freq
tumble (2) - 9 freq
rummlt (2) - 1 freq
dummie (2) - 1 freq
humble (2) - 26 freq
gemmle (2) - 2 freq
juggle (2) - 1 freq
jumblt (2) - 1 freq
fummlt (2) - 1 freq
mummles (2) - 1 freq
grummle (2) - 4 freq
jummle (0) - 5 freq
rummle (2) - 21 freq
mummle (2) - 4 freq
tummle (2) - 19 freq
hummle (2) - 12 freq
wummle (2) - 1 freq
jummled (2) - 1 freq
fummle (2) - 5 freq
rammle (3) - 3 freq
gemmle (3) - 2 freq
demmle (3) - 2 freq
jemmie (3) - 4 freq
timmle (3) - 4 freq
wummile (3) - 1 freq
wammle (3) - 2 freq
hummly (3) - 1 freq
jammie (3) - 2 freq
rummile (3) - 1 freq
tummile (3) - 1 freq
jimmie (3) - 9 freq
nimmle (3) - 2 freq
jummlin (3) - 1 freq
ruammle (3) - 1 freq
kummil (4) - 1 freq
jimmys (4) - 1 freq
SoundEx code - J540
jummle - 5 freq
jameela - 2 freq
jean'll - 1 freq
jjconeill - 2 freq
janela - 5 freq
janila - 1 freq
MetaPhone code - JML
gemmle - 2 freq
gemmule - 1 freq
gemmel - 1 freq
gemmely - 1 freq
jummle - 5 freq
jameela - 2 freq
JUMMLE
Time to execute Levenshtein function - 0.178508 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 - 0.323997 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 - 0.027101 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 - 0.036248 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 - 0.000817 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.