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 queelrods in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
queelrods (0) - 3 freq
queelrod (1) - 6 freq
squeers (4) - 1 freq
queereye (4) - 1 freq
queestions (4) - 4 freq
queelin (4) - 1 freq
culross (4) - 2 freq
jeelous (4) - 5 freq
quells (4) - 1 freq
queets (4) - 6 freq
feelds (4) - 1 freq
quebecois (4) - 1 freq
queerer (4) - 2 freq
heelands (4) - 1 freq
queen's (4) - 55 freq
queer (4) - 146 freq
numerous (4) - 8 freq
queen'd (4) - 1 freq
queerest (4) - 6 freq
queeried (4) - 3 freq
eebroos (4) - 20 freq
squeeled (4) - 1 freq
queerie (4) - 8 freq
sheelds (4) - 1 freq
queens (4) - 40 freq
queelrods (0) - 3 freq
queelrod (2) - 6 freq
railroads (6) - 1 freq
querious (6) - 2 freq
heelands (6) - 1 freq
feelds (6) - 1 freq
queeried (6) - 3 freq
queries (6) - 1 freq
melrois (6) - 1 freq
quells (6) - 1 freq
eelids (6) - 2 freq
culross (6) - 2 freq
weelads (6) - 1 freq
quail's (7) - 2 freq
eairds (7) - 2 freq
melrose (7) - 6 freq
beards (7) - 12 freq
cerds (7) - 1 freq
steroids (7) - 6 freq
rewards (7) - 6 freq
yields (7) - 3 freq
rulers (7) - 8 freq
periods (7) - 17 freq
uplands (7) - 2 freq
bleeds (7) - 6 freq
SoundEx code - Q463
queelrod - 6 freq
queelrods - 3 freq
MetaPhone code - KLRTS
clarts - 2 freq
queelrods - 3 freq
clairts - 1 freq
QUEELRODS
Time to execute Levenshtein function - 0.206536 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 - 0.372132 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 - 0.027905 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 - 0.038359 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 - 0.000944 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.