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 jxn in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
jxn (0) - 1 freq
jun (1) - 7 freq
jx (1) - 4 freq
jen (1) - 6 freq
lxn (1) - 1 freq
jqn (1) - 1 freq
jn (1) - 11 freq
jin (1) - 1 freq
xn (1) - 3 freq
hxn (1) - 1 freq
jxe (1) - 1 freq
jan (1) - 27 freq
jon (1) - 4 freq
jxx (1) - 1 freq
kxn (1) - 1 freq
dun (2) - 36 freq
kyn (2) - 20 freq
ja (2) - 7 freq
ren (2) - 11 freq
rn (2) - 4 freq
'x (2) - 2 freq
en (2) - 2 freq
n (2) - 2440 freq
cnn (2) - 1 freq
juno (2) - 2 freq
jxn (0) - 1 freq
jxe (2) - 1 freq
hxn (2) - 1 freq
jan (2) - 27 freq
jxx (2) - 1 freq
jun (2) - 7 freq
kxn (2) - 1 freq
xn (2) - 3 freq
jon (2) - 4 freq
jen (2) - 6 freq
jin (2) - 1 freq
lxn (2) - 1 freq
jx (2) - 4 freq
jn (2) - 11 freq
jqn (2) - 1 freq
axin (3) - 25 freq
jine (3) - 37 freq
joni (3) - 3 freq
jane (3) - 50 freq
jaan (3) - 1 freq
jyne (3) - 116 freq
ojxg (3) - 1 freq
jain (3) - 1 freq
ijin (3) - 1 freq
john (3) - 805 freq
SoundEx code - J500
jam - 84 freq
jyne - 116 freq
jeannie - 91 freq
'jonah' - 1 freq
john - 805 freq
join - 131 freq
june - 102 freq
jean - 169 freq
jan - 27 freq
jeanie - 34 freq
johnnie - 28 freq
jona - 1 freq
juin - 25 freq
jamie - 131 freq
jim - 235 freq
jine - 37 freq
jimmy - 139 freq
'jean - 4 freq
jammy - 19 freq
johnny - 111 freq
'johnny - 1 freq
jenny - 178 freq
joana - 1 freq
jane - 50 freq
jannie - 10 freq
jonah - 30 freq
jenna - 5 freq
joan - 30 freq
'john - 6 freq
'jenny - 1 freq
jawin - 2 freq
jon - 4 freq
jeenie - 1 freq
jeyn - 1 freq
jimmie - 9 freq
jiyn - 1 freq
jaune - 1 freq
janny - 23 freq
jum - 3 freq
jn - 11 freq
jinny - 28 freq
jeemie - 61 freq
jimmy' - 1 freq
jain - 1 freq
jun - 7 freq
jennie - 7 freq
jhone - 71 freq
jshone - 1 freq
jannai - 3 freq
johanna - 2 freq
jammie - 2 freq
joan' - 1 freq
jm - 57 freq
juno - 2 freq
jhon - 2 freq
joanna - 7 freq
jön - 1 freq
jayne - 2 freq
'jeannie - 2 freq
jaanie - 1 freq
jame - 3 freq
johnie - 9 freq
jonny - 46 freq
'jam - 1 freq
jowin - 4 freq
johann - 4 freq
jeemy - 3 freq
johnne - 1 freq
johne - 1 freq
jemmy - 5 freq
jen - 6 freq
joannie - 1 freq
jimmy - 1 freq
jemmie - 4 freq
joanie - 1 freq
john - 2 freq
jonnie - 1 freq
jen- - 1 freq
joni - 3 freq
joahny - 13 freq
joahnny - 3 freq
jeamie - 9 freq
jaimie - 4 freq
'jimmy - 5 freq
jenny - 2 freq
jaune' - 1 freq
jonnie - 1 freq
johonnie - 1 freq
jeemmie - 1 freq
johnny - 1 freq
john - 2 freq
jeanne - 1 freq
j'aime - 1 freq
jimi - 1 freq
joom - 1 freq
jenni - 1 freq
jiim - 1 freq
janey - 10 freq
jom - 1 freq
jnw - 1 freq
jcwme - 1 freq
jxn - 1 freq
jgzn - 1 freq
janie - 1 freq
johni - 1 freq
jeane - 1 freq
jamma - 1 freq
jkscwem - 1 freq
jynuuh - 1 freq
jqn - 1 freq
jcqn - 1 freq
joanne - 1 freq
jin - 1 freq
jaan - 1 freq
johnneh - 6 freq
MetaPhone code - JKSN
jackson - 38 freq
jeckson - 1 freq
jxn - 1 freq
jgzn - 1 freq
JXN
Time to execute Levenshtein function - 0.217217 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 - 0.384135 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 - 0.029306 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 - 0.037779 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 - 0.000941 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.