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 rowler in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
rowler (0) - 2 freq
roller (1) - 27 freq
rowle (1) - 8 freq
rowley (1) - 13 freq
rower (1) - 2 freq
rowlers (1) - 3 freq
growler (1) - 2 freq
fowler (1) - 2 freq
owler (1) - 5 freq
goller (2) - 7 freq
sower (2) - 1 freq
crowle (2) - 2 freq
cower (2) - 11 freq
raeler (2) - 1 freq
bowser (2) - 4 freq
rowwed (2) - 1 freq
howder (2) - 1 freq
rowes (2) - 10 freq
downer (2) - 1 freq
holler (2) - 2 freq
bowle (2) - 2 freq
ouler (2) - 8 freq
grower (2) - 2 freq
rowie (2) - 23 freq
ruler (2) - 10 freq
rowler (0) - 2 freq
growler (2) - 2 freq
owler (2) - 5 freq
rowlers (2) - 3 freq
fowler (2) - 2 freq
rower (2) - 2 freq
roller (2) - 27 freq
rowle (2) - 8 freq
rowley (2) - 13 freq
trawler (3) - 3 freq
rowlin (3) - 4 freq
wler (3) - 1 freq
crawler (3) - 1 freq
rawer (3) - 1 freq
rowls (3) - 5 freq
ruler (3) - 10 freq
raeler (3) - 1 freq
powlar (3) - 1 freq
rowl (3) - 9 freq
rowlt (3) - 5 freq
router (4) - 1 freq
voller (4) - 2 freq
rocker (4) - 3 freq
ower (4) - 6224 freq
crowner (4) - 19 freq
SoundEx code - R460
ruler - 10 freq
roller - 27 freq
rowler - 2 freq
raeler - 1 freq
roll-ower - 1 freq
rlr - 1 freq
MetaPhone code - RLR
ruler - 10 freq
roller - 27 freq
rowler - 2 freq
raeler - 1 freq
rlr - 1 freq
ROWLER
Time to execute Levenshtein function - 0.190733 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 - 0.362616 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 - 0.030766 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 - 0.042885 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 - 0.000783 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.