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 yonner in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
yonner (0) - 67 freq
ponner (1) - 1 freq
wonner (1) - 5 freq
donner (1) - 2 freq
gonner (1) - 1 freq
onner (1) - 3 freq
conner (1) - 2 freq
aonner (1) - 1 freq
tonner (1) - 1 freq
yonder (1) - 67 freq
joyner (2) - 1 freq
danner (2) - 13 freq
loner (2) - 1 freq
toner (2) - 1 freq
onnen (2) - 2 freq
sorner (2) - 3 freq
yvonne (2) - 81 freq
ganner (2) - 1 freq
longer (2) - 72 freq
yorker (2) - 1 freq
yvonne' (2) - 1 freq
tonnes (2) - 3 freq
binner (2) - 2 freq
monger (2) - 1 freq
cinner (2) - 1 freq
yonner (0) - 67 freq
onner (1) - 3 freq
aonner (1) - 1 freq
tonner (2) - 1 freq
inner (2) - 46 freq
unner (2) - 461 freq
yonder (2) - 67 freq
onnir (2) - 1 freq
conner (2) - 2 freq
ponner (2) - 1 freq
wonner (2) - 5 freq
gonner (2) - 1 freq
donner (2) - 2 freq
tinner (3) - 1 freq
tanner (3) - 10 freq
bonnier (3) - 24 freq
joiner (3) - 14 freq
doner (3) - 2 freq
wanner (3) - 18 freq
yunger (3) - 11 freq
sinner (3) - 10 freq
winner (3) - 143 freq
menner (3) - 4 freq
connery (3) - 5 freq
wunner (3) - 282 freq
SoundEx code - Y560
yammer - 5 freq
yonner - 67 freq
ymir - 3 freq
ymrh - 1 freq
ynr - 1 freq
MetaPhone code - YNR
yonner - 67 freq
YONNER
Time to execute Levenshtein function - 0.196280 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 - 0.358759 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 - 0.028915 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 - 0.037268 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 - 0.000865 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.