A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ablow

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Similar words to judges in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
judges (0) - 19 freq
judge (1) - 222 freq
mudges (1) - 1 freq
juidges (1) - 1 freq
judge's (1) - 1 freq
nudges (1) - 4 freq
ludges (1) - 2 freq
fudges (1) - 1 freq
judged (1) - 16 freq
junes (2) - 1 freq
sudgers (2) - 5 freq
dodges (2) - 2 freq
grudges (2) - 2 freq
jugs (2) - 4 freq
fidges (2) - 2 freq
ludge (2) - 22 freq
budged (2) - 1 freq
budgets (2) - 6 freq
jungles (2) - 1 freq
gurges (2) - 1 freq
juden (2) - 1 freq
jug's (2) - 1 freq
jungen (2) - 1 freq
bulges (2) - 2 freq
judaea (2) - 1 freq
judges (0) - 19 freq
juidges (1) - 1 freq
ludges (2) - 2 freq
judged (2) - 16 freq
nudges (2) - 4 freq
fudges (2) - 1 freq
judge's (2) - 1 freq
judge (2) - 222 freq
mudges (2) - 1 freq
judgan (3) - 1 freq
mudgies (3) - 1 freq
badges (3) - 11 freq
judas (3) - 24 freq
ledges (3) - 3 freq
edges (3) - 30 freq
judgin (3) - 17 freq
jude's (3) - 1 freq
juidged (3) - 4 freq
juidge (3) - 17 freq
aedges (3) - 3 freq
hedges (3) - 38 freq
wedges (3) - 1 freq
wadges (3) - 1 freq
ridges (3) - 6 freq
fidges (3) - 2 freq
SoundEx code - J322
judge-hke-mair - 1 freq
judges - 19 freq
judge's - 1 freq
juidges - 1 freq
judgejules - 4 freq
MetaPhone code - JJS
judges - 19 freq
judge's - 1 freq
juidges - 1 freq
ju-jus - 1 freq
JUDGES
Time to execute Levenshtein function - 0.190173 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 - 0.353824 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 - 0.027491 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 - 0.038726 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 - 0.001093 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.