A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ahint

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Similar words to xjad in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
xjad (0) - 1 freq
xja (1) - 1 freq
brad (2) - 4 freq
xdaw (2) - 1 freq
jaud (2) - 6 freq
soad (2) - 1 freq
kad (2) - 1 freq
ajod (2) - 1 freq
mad (2) - 345 freq
whad (2) - 3 freq
twad (2) - 1 freq
scad (2) - 6 freq
jar (2) - 41 freq
baad (2) - 20 freq
daad (2) - 5 freq
xkd (2) - 1 freq
blad (2) - 15 freq
oad (2) - 2 freq
xua (2) - 2 freq
xcd (2) - 1 freq
xnax (2) - 1 freq
'had (2) - 1 freq
jah (2) - 2 freq
jai (2) - 1 freq
sjao (2) - 1 freq
xjad (0) - 1 freq
xja (2) - 1 freq
jed (3) - 53 freq
jade (3) - 14 freq
jd (3) - 5 freq
xkd (3) - 1 freq
xju (3) - 1 freq
xje (3) - 1 freq
xuaj (3) - 1 freq
xjb (3) - 1 freq
xcd (3) - 1 freq
xd (3) - 4 freq
ajod (3) - 1 freq
jaud (3) - 6 freq
xvud (3) - 1 freq
xji (3) - 1 freq
xmd (3) - 1 freq
yjd (3) - 1 freq
xjle (3) - 1 freq
xejay (3) - 1 freq
ajar (4) - 4 freq
rdad (4) - 1 freq
jap (4) - 2 freq
'jam (4) - 1 freq
had (4) - 4968 freq
SoundEx code - X300
”xt - 1 freq
xdaw - 1 freq
xd - 4 freq
xut - 1 freq
xkd - 1 freq
xcd - 1 freq
xst - 1 freq
xt - 1 freq
xjad - 1 freq
MetaPhone code - SJT
seigit - 1 freq
sjt - 1 freq
xjad - 1 freq
XJAD
Time to execute Levenshtein function - 0.209889 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 - 0.363832 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 - 0.028774 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 - 0.037173 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 - 0.000839 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.