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 recesses in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
recesses (0) - 4 freq
recedes (2) - 1 freq
releases (2) - 3 freq
receives (2) - 3 freq
recess (2) - 3 freq
reeses (2) - 1 freq
excesses (2) - 2 freq
reverses (2) - 1 freq
processes (2) - 20 freq
reesel (3) - 4 freq
crevasses (3) - 1 freq
gresses (3) - 7 freq
reenges (3) - 4 freq
necessear (3) - 1 freq
hernesses (3) - 1 freq
realises (3) - 9 freq
casses (3) - 1 freq
reese (3) - 10 freq
desses (3) - 1 freq
rehashes (3) - 1 freq
reveries (3) - 2 freq
revenues (3) - 4 freq
incenses (3) - 1 freq
reevles (3) - 1 freq
guesses (3) - 6 freq
recesses (0) - 4 freq
excesses (3) - 2 freq
recess (3) - 3 freq
processes (3) - 20 freq
casses (4) - 1 freq
reassess (4) - 1 freq
recession (4) - 3 freq
recessive (4) - 1 freq
receives (4) - 3 freq
recedes (4) - 1 freq
reeses (4) - 1 freq
releases (4) - 3 freq
reverses (4) - 1 freq
caesses (4) - 2 freq
messes (5) - 1 freq
recipies (5) - 1 freq
decessit (5) - 1 freq
successes (5) - 6 freq
wirelesses (5) - 1 freq
plaesses (5) - 15 freq
necessar (5) - 89 freq
recipes (5) - 17 freq
accessed (5) - 2 freq
ecosse (5) - 6 freq
processed (5) - 8 freq
SoundEx code - R222
roughcast - 2 freq
recesses - 4 freq
rosy-cheeked - 1 freq
rough-cast - 1 freq
richsauces - 1 freq
rxghkhgnjm - 1 freq
MetaPhone code - RSSS
recesses - 4 freq
RECESSES
Time to execute Levenshtein function - 0.310376 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 - 0.491938 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 - 0.027281 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 - 0.037272 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 - 0.000906 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.