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 juniors in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
juniors (0) - 16 freq
junior (1) - 30 freq
bunions (2) - 2 freq
janitors (2) - 2 freq
jurors (2) - 24 freq
unions (2) - 8 freq
seniors (2) - 1 freq
jurie's (3) - 1 freq
jenners (3) - 6 freq
sensors (3) - 1 freq
censors (3) - 1 freq
jumbos (3) - 3 freq
unis (3) - 3 freq
junipere (3) - 15 freq
bunion (3) - 1 freq
senior (3) - 40 freq
jinkers (3) - 1 freq
duncers (3) - 5 freq
hunkers (3) - 11 freq
hunders (3) - 25 freq
uniforms (3) - 12 freq
bunkers (3) - 12 freq
minors (3) - 1 freq
nibors (3) - 2 freq
funders (3) - 1 freq
juniors (0) - 16 freq
junior (2) - 30 freq
seniors (3) - 1 freq
jyners (3) - 26 freq
jurors (3) - 24 freq
jiners (3) - 6 freq
janitors (3) - 2 freq
donors (4) - 1 freq
junkies (4) - 9 freq
jonsars (4) - 3 freq
minors (4) - 1 freq
ejurors (4) - 1 freq
jinkers (4) - 1 freq
joiners (4) - 7 freq
deniers (4) - 4 freq
wunorse (4) - 2 freq
juries (4) - 1 freq
unions (4) - 8 freq
bunions (4) - 2 freq
junes (4) - 1 freq
jenners (4) - 6 freq
tenors (4) - 1 freq
june's (4) - 2 freq
munros (4) - 1 freq
snores (5) - 6 freq
SoundEx code - J562
jyners' - 3 freq
jyners - 26 freq
joiners - 7 freq
jyner's - 5 freq
jiners - 6 freq
juniors - 16 freq
jenners - 6 freq
jenners' - 1 freq
jonar's - 1 freq
johnmarshall - 2 freq
MetaPhone code - JNRS
jyners' - 3 freq
jyners - 26 freq
joiners - 7 freq
jyner's - 5 freq
generous - 21 freq
jiners - 6 freq
juniors - 16 freq
jenners - 6 freq
genres - 13 freq
jenners' - 1 freq
jonar's - 1 freq
JUNIORS
Time to execute Levenshtein function - 0.243874 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 - 0.341918 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 - 0.029288 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 - 0.040476 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 - 0.001189 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.