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 juppen in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
juppen (0) - 4 freq
wuppen (1) - 1 freq
suppen (1) - 1 freq
cruppen (2) - 4 freq
jumper (2) - 43 freq
jumpe (2) - 1 freq
suppin (2) - 9 freq
jurgen (2) - 1 freq
heppen (2) - 11 freq
tuppens (2) - 1 freq
'upper (2) - 1 freq
tuppeny (2) - 1 freq
wupped (2) - 7 freq
happen (2) - 386 freq
upped (2) - 5 freq
wappen (2) - 5 freq
upper (2) - 55 freq
jappin (2) - 1 freq
supper (2) - 173 freq
jungen (2) - 1 freq
cuppin (2) - 6 freq
jumpan (2) - 8 freq
supped (2) - 4 freq
suppan (2) - 1 freq
muppet (2) - 11 freq
juppen (0) - 4 freq
suppen (2) - 1 freq
jappin (2) - 1 freq
wuppen (2) - 1 freq
cuppin (3) - 6 freq
appen (3) - 25 freq
pappen (3) - 1 freq
yappen (3) - 5 freq
jumpan (3) - 8 freq
suppan (3) - 1 freq
japped (3) - 2 freq
nippen (3) - 1 freq
oppen (3) - 31 freq
wappen (3) - 5 freq
gappen (3) - 2 freq
jumpin (3) - 61 freq
'appen (3) - 1 freq
suppin (3) - 9 freq
uppin (3) - 1 freq
toppen (3) - 1 freq
rippen (3) - 5 freq
heppen (3) - 11 freq
tuppeny (3) - 1 freq
wuppin (3) - 1 freq
happen (3) - 386 freq
SoundEx code - J150
japan - 10 freq
jabbin - 8 freq
jaupin - 1 freq
jobnny - 1 freq
jeavin - 1 freq
jowpin - 1 freq
jovian - 3 freq
juppen - 4 freq
japanee - 7 freq
javan - 4 freq
jaw-bane - 1 freq
jappin - 1 freq
jpm - 1 freq
jvooeom - 1 freq
MetaPhone code - JPN
japan - 10 freq
jaupin - 1 freq
gypin - 3 freq
jowpin - 1 freq
juppen - 4 freq
japanee - 7 freq
jappin - 1 freq
JUPPEN
Time to execute Levenshtein function - 0.209789 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 - 0.355524 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 - 0.034117 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 - 0.038654 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 - 0.000948 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.