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 xklor in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
xklor (0) - 1 freq
culor (2) - 1 freq
lalor (2) - 8 freq
flor (2) - 1 freq
mklop (2) - 1 freq
tylor (2) - 1 freq
kloo (2) - 1 freq
jklr (2) - 1 freq
xzlr (2) - 1 freq
calor (2) - 2 freq
color (2) - 2 freq
xklhl (2) - 1 freq
skoor (2) - 1 freq
€˜for (3) - 9 freq
allow (3) - 36 freq
up-or (3) - 1 freq
nor (3) - 1978 freq
akker (3) - 1 freq
ceoor (3) - 1 freq
whoor (3) - 2 freq
eflir (3) - 1 freq
kxo (3) - 1 freq
sker (3) - 1 freq
skool (3) - 3 freq
floer (3) - 2 freq
xklor (0) - 1 freq
xzlr (3) - 1 freq
jklr (3) - 1 freq
calor (4) - 2 freq
color (4) - 2 freq
explore (4) - 28 freq
skolar (4) - 1 freq
xklhl (4) - 1 freq
skoor (4) - 1 freq
flor (4) - 1 freq
kloo (4) - 1 freq
lalor (4) - 8 freq
culor (4) - 1 freq
tylor (4) - 1 freq
mklop (4) - 1 freq
pler (5) - 1 freq
ruler (5) - 10 freq
ler (5) - 1 freq
kl (5) - 4 freq
kilos (5) - 1 freq
owler (5) - 5 freq
balr (5) - 1 freq
ellar (5) - 1 freq
skier (5) - 2 freq
urlar (5) - 1 freq
SoundEx code - X460
xklor - 1 freq
xzlr - 1 freq
MetaPhone code - SKLR
scullery - 91 freq
squealer - 3 freq
skulerie - 1 freq
skulrie - 1 freq
secular - 3 freq
skolar - 1 freq
squalor - 2 freq
€œscullery - 1 freq
xklor - 1 freq
'scullery' - 2 freq
XKLOR
Time to execute Levenshtein function - 0.212328 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 - 0.356589 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 - 0.027530 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 - 0.040983 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 - 0.000947 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.