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 trapeze in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
trapeze (0) - 1 freq
treeze (2) - 8 freq
trapple (2) - 3 freq
trophie (3) - 1 freq
trappet (3) - 2 freq
transe (3) - 2 freq
craze (3) - 6 freq
trample (3) - 3 freq
trippie (3) - 1 freq
rape- (3) - 2 freq
taped (3) - 4 freq
triple (3) - 12 freq
tapert (3) - 2 freq
treeza (3) - 8 freq
trashie (3) - 1 freq
traded (3) - 9 freq
reeze (3) - 1 freq
trattle (3) - 1 freq
trope (3) - 2 freq
tape (3) - 30 freq
travel (3) - 57 freq
tragedie (3) - 3 freq
traverse (3) - 9 freq
teepee (3) - 5 freq
tripe (3) - 17 freq
trapeze (0) - 1 freq
treeze (3) - 8 freq
tripeuk (4) - 22 freq
traps (4) - 12 freq
treeza (4) - 8 freq
trap (4) - 62 freq
tripe (4) - 17 freq
trapp (4) - 1 freq
traipse (4) - 7 freq
tripes (4) - 1 freq
triple (4) - 12 freq
trope (4) - 2 freq
traeps (4) - 1 freq
trophie (4) - 1 freq
trapple (4) - 3 freq
trippie (4) - 1 freq
traep (4) - 6 freq
tapes (5) - 11 freq
praper (5) - 1 freq
raped (5) - 6 freq
trace- (5) - 1 freq
grape (5) - 8 freq
rapes (5) - 1 freq
traces (5) - 7 freq
tramped (5) - 11 freq
SoundEx code - T612
threips - 10 freq
tribes - 24 freq
traipsin - 10 freq
threaps - 56 freq
traipsed - 17 freq
traipse - 7 freq
troops - 67 freq
turbos - 2 freq
troops' - 1 freq
traffic - 50 freq
tropical - 6 freq
trev's - 14 freq
'trev's - 1 freq
traipsd - 1 freq
trips - 31 freq
turps - 2 freq
trevis - 1 freq
trophies - 5 freq
thrabs - 1 freq
traps - 12 freq
threips's - 1 freq
traffic--jammed - 1 freq
trip's - 3 freq
tryp's - 1 freq
trapie's - 1 freq
traffik - 1 freq
trivias - 1 freq
throbs - 2 freq
terrific - 2 freq
therapies - 2 freq
tarriffs - 1 freq
travesty - 2 freq
tarbuck - 1 freq
thrip-stane - 1 freq
tarves - 8 freq
terpsichore - 1 freq
turfs - 1 freq
traeps - 1 freq
treffic - 1 freq
trapeze - 1 freq
traffeckin - 2 freq
traffeck - 2 freq
tirrivies - 1 freq
travaigan - 1 freq
tirvs - 1 freq
three-piece - 4 freq
træpsis - 1 freq
thrives - 3 freq
turbo-skites - 1 freq
three-pace - 1 freq
trövies - 1 freq
terrificaation - 1 freq
tropics - 2 freq
tirrivees - 1 freq
tripes - 1 freq
traipses - 1 freq
teerification - 1 freq
truips - 5 freq
traffek - 3 freq
terrificautioun - 1 freq
treffik - 1 freq
traffec - 1 freq
terrification - 2 freq
tribesperson - 1 freq
tribespeople - 1 freq
troves - 1 freq
tear-begrutten - 1 freq
thrawback - 2 freq
therapist - 1 freq
tribesmen - 1 freq
traipsing - 2 freq
turves - 1 freq
throwback - 2 freq
truefact - 1 freq
teribus - 1 freq
trafficscotland - 2 freq
tarvesmin - 1 freq
toryfiasco - 1 freq
tyrebagger - 1 freq
tripeuk - 22 freq
tripceol - 1 freq
trivago - 1 freq
throwbackthursday - 1 freq
terfs - 1 freq
trevshan - 1 freq
MetaPhone code - TRPS
dreeps - 13 freq
draps - 62 freq
traipse - 7 freq
troops - 67 freq
troops' - 1 freq
drops - 18 freq
trips - 31 freq
turps - 2 freq
drops' - 1 freq
traps - 12 freq
trip's - 3 freq
tryp's - 1 freq
drap's - 1 freq
trapie's - 1 freq
drips - 5 freq
droaps - 4 freq
traeps - 1 freq
trapeze - 1 freq
drapes - 6 freq
tripes - 1 freq
droppis - 1 freq
drappies - 2 freq
truips - 5 freq
dropsey - 1 freq
TRAPEZE
Time to execute Levenshtein function - 0.210106 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 - 0.422463 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 - 0.027595 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 - 0.037749 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 - 0.000877 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.