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 yorlin in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
yorlin (0) - 12 freq
yowlin (1) - 16 freq
yorlins (1) - 3 freq
norlin (1) - 170 freq
surlin (2) - 1 freq
mornin (2) - 952 freq
conlin (2) - 5 freq
ywowlin (2) - 1 freq
yarnin (2) - 18 freq
fornin (2) - 1 freq
porin (2) - 1 freq
boolin (2) - 16 freq
gordin (2) - 2 freq
derlin (2) - 1 freq
borin (2) - 46 freq
mirlin (2) - 3 freq
holin (2) - 2 freq
merlin (2) - 6 freq
fortin (2) - 1 freq
houlin (2) - 21 freq
yovein (2) - 1 freq
yirlins (2) - 1 freq
yellin (2) - 13 freq
godlin (2) - 1 freq
carlin (2) - 6 freq
yorlin (0) - 12 freq
roilin (2) - 1 freq
roulin (2) - 2 freq
norlin (2) - 170 freq
yowlin (2) - 16 freq
yorlins (2) - 3 freq
boilin (3) - 5 freq
rowlin (3) - 4 freq
yirdin (3) - 8 freq
soolin (3) - 2 freq
roslin (3) - 1 freq
burlin (3) - 8 freq
yerlins (3) - 1 freq
pirlin (3) - 8 freq
norln (3) - 1 freq
tirlin (3) - 13 freq
yarkin (3) - 4 freq
orain (3) - 1 freq
dirlin (3) - 45 freq
hirlin (3) - 1 freq
yrlind (3) - 1 freq
hurlin (3) - 20 freq
yirkin (3) - 1 freq
rulin (3) - 6 freq
toolin (3) - 1 freq
SoundEx code - Y645
year-lang - 3 freq
yorlins - 3 freq
yorlin - 12 freq
yerlins - 1 freq
yorlin's - 2 freq
yearlins - 1 freq
yrlind - 1 freq
yirlins - 1 freq
yreland - 1 freq
MetaPhone code - YRLN
yorlin - 12 freq
YORLIN
Time to execute Levenshtein function - 0.177741 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 - 0.327087 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 - 0.027192 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 - 0.036965 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 - 0.000812 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.