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 jalopy in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
jalopy (0) - 1 freq
jallopy (1) - 4 freq
jallop (2) - 1 freq
jalous (2) - 1 freq
wallopy (2) - 1 freq
walop (2) - 1 freq
canopy (2) - 10 freq
aloan (3) - 1 freq
co-opy (3) - 2 freq
floppy (3) - 5 freq
malone (3) - 4 freq
jaups (3) - 3 freq
lalor (3) - 8 freq
aloes (3) - 1 freq
alky (3) - 10 freq
salary (3) - 4 freq
jaelous (3) - 2 freq
glory (3) - 91 freq
galaxy (3) - 20 freq
flops (3) - 6 freq
yaldy (3) - 3 freq
paloma (3) - 1 freq
wallop (3) - 11 freq
sappy (3) - 19 freq
jampt (3) - 1 freq
jalopy (0) - 1 freq
jallopy (2) - 4 freq
walop (3) - 1 freq
jalous (3) - 1 freq
jallop (3) - 1 freq
jelly (4) - 14 freq
jilday (4) - 1 freq
jilps (4) - 1 freq
lope (4) - 1 freq
julidy (4) - 2 freq
alp (4) - 1 freq
loopy (4) - 3 freq
jealous (4) - 52 freq
jealousy (4) - 14 freq
jaup (4) - 3 freq
jalloo (4) - 1 freq
jaelousy (4) - 1 freq
jalooze (4) - 1 freq
plop (4) - 4 freq
flop (4) - 4 freq
kalpay (4) - 3 freq
yalp (4) - 2 freq
jalouze (4) - 4 freq
jeelip (4) - 2 freq
jalouse (4) - 182 freq
SoundEx code - J410
jallopy - 4 freq
jallop - 1 freq
jeelip - 2 freq
joliv - 3 freq
jalopy - 1 freq
jslv - 1 freq
MetaPhone code - JLP
gilpey - 2 freq
jallopy - 4 freq
jallop - 1 freq
jeelip - 2 freq
jalopy - 1 freq
JALOPY
Time to execute Levenshtein function - 0.385464 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 - 0.623352 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 - 0.027889 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 - 0.069209 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 - 0.000799 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.