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 jerusalem in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
jerusalem (0) - 103 freq
jerusalem' (1) - 1 freq
€œjerusalem (2) - 1 freq
kensalem (3) - 1 freq
crusader (4) - 3 freq
refusal (4) - 2 freq
eequalee (4) - 1 freq
euaazem (4) - 1 freq
rustle (4) - 11 freq
jetsam (4) - 1 freq
jersey (4) - 22 freq
thrustle (4) - 1 freq
crusade (4) - 4 freq
hersael (4) - 1 freq
brustled (4) - 1 freq
rustled (4) - 4 freq
couslem (4) - 1 freq
trummle (5) - 3 freq
epistles (5) - 1 freq
bernabeu (5) - 1 freq
craalen (5) - 1 freq
heretage (5) - 1 freq
messages (5) - 147 freq
februare (5) - 1 freq
jerbs (5) - 1 freq
jerusalem (0) - 103 freq
jerusalem' (2) - 1 freq
€œjerusalem (4) - 1 freq
kensalem (5) - 1 freq
hersael (6) - 1 freq
jetsam (6) - 1 freq
jersey (6) - 22 freq
couslem (6) - 1 freq
mausoleum (7) - 4 freq
firsled (7) - 1 freq
joram (7) - 2 freq
jeremy (7) - 12 freq
problem (7) - 258 freq
crosley (7) - 1 freq
dursley (7) - 48 freq
psalm (7) - 39 freq
ersel (7) - 36 freq
girsle (7) - 2 freq
hersell (7) - 12 freq
aerosols (7) - 6 freq
hirsle (7) - 3 freq
worsley (7) - 1 freq
uersel (7) - 1 freq
eersel (7) - 28 freq
herself (7) - 41 freq
SoundEx code - J624
jerusalem - 103 freq
jargle - 1 freq
jerkily - 1 freq
jerusalem' - 1 freq
€œjerusalem - 1 freq
MetaPhone code - JRSLM
jerusalem - 103 freq
jerusalem' - 1 freq
€œjerusalem - 1 freq
JERUSALEM
Time to execute Levenshtein function - 0.192622 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 - 0.364001 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 - 0.027494 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 - 0.036746 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 - 0.000764 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.