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 joogelt in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
joogelt (0) - 1 freq
jooglt (1) - 1 freq
joogle (2) - 6 freq
shoogelt (2) - 1 freq
jowelt (2) - 2 freq
doobelt (2) - 1 freq
jooglet (2) - 1 freq
jangelt (2) - 1 freq
hoobeit (3) - 6 freq
tootlt (3) - 1 freq
forgett (3) - 1 freq
jooglin (3) - 10 freq
forget (3) - 266 freq
gelt (3) - 1 freq
joel (3) - 1 freq
fordelt (3) - 2 freq
jogger (3) - 1 freq
joggers (3) - 1 freq
lodgest (3) - 1 freq
jooked (3) - 8 freq
jonrell (3) - 1 freq
jooder (3) - 1 freq
oolt (3) - 1 freq
looket (3) - 36 freq
joogal” (3) - 1 freq
joogelt (0) - 1 freq
jooglt (1) - 1 freq
jooglet (2) - 1 freq
joogle (3) - 6 freq
jangelt (3) - 1 freq
jowelt (3) - 2 freq
jowlt (4) - 1 freq
jeelt (4) - 16 freq
jougle (4) - 1 freq
taegelt (4) - 1 freq
gelt (4) - 1 freq
jiggilt (4) - 1 freq
jolt (4) - 7 freq
taigelt (4) - 12 freq
joogled (4) - 6 freq
jooglin (4) - 10 freq
doobelt (4) - 1 freq
shoogelt (4) - 1 freq
joost (5) - 230 freq
taigilt (5) - 2 freq
foogle (5) - 1 freq
jookle (5) - 2 freq
google (5) - 80 freq
jogged (5) - 2 freq
jookit (5) - 3 freq
SoundEx code - J243
joogled - 6 freq
joogelt - 1 freq
joggled - 1 freq
jiggilt - 1 freq
jakolet - 1 freq
jooglt - 1 freq
jooglet - 1 freq
MetaPhone code - JJLT
joogelt - 1 freq
JOOGELT
Time to execute Levenshtein function - 0.427669 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 - 0.914804 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 - 0.076790 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 - 0.109611 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 - 0.001125 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.