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 turbos in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
turbos (0) - 2 freq
turbo (1) - 2 freq
turbot (1) - 2 freq
furbas (2) - 1 freq
turas (2) - 1 freq
tuibs (2) - 1 freq
turves (2) - 1 freq
curios (2) - 1 freq
turns (2) - 367 freq
turnis (2) - 6 freq
turn's (2) - 2 freq
turks (2) - 4 freq
turps (2) - 2 freq
turbans (2) - 1 freq
ternos (2) - 1 freq
turfs (2) - 1 freq
torsos (2) - 1 freq
urbs (2) - 1 freq
euros (2) - 7 freq
tubes (2) - 20 freq
jumbos (2) - 3 freq
murdos (2) - 1 freq
turban (2) - 4 freq
tubs (2) - 5 freq
turkey (3) - 41 freq
turbos (0) - 2 freq
turbot (2) - 2 freq
turbo (2) - 2 freq
urbs (3) - 1 freq
torsos (3) - 1 freq
ternos (3) - 1 freq
teribus (3) - 1 freq
turban (3) - 4 freq
tribes (3) - 24 freq
tubs (3) - 5 freq
turbans (3) - 1 freq
tubes (3) - 20 freq
turfs (3) - 1 freq
turves (3) - 1 freq
turas (3) - 1 freq
turps (3) - 2 freq
furbas (3) - 1 freq
turns (3) - 367 freq
turks (3) - 4 freq
turnis (3) - 6 freq
tuibs (3) - 1 freq
termes (4) - 1 freq
troops (4) - 67 freq
tirlis (4) - 1 freq
turbine (4) - 2 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 - TRBS
tribes - 24 freq
dribs - 3 freq
turbos - 2 freq
teribus - 1 freq
derbies - 2 freq
TURBOS
Time to execute Levenshtein function - 0.237604 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 - 0.368759 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 - 0.027630 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 - 0.037648 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 - 0.000971 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.