A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ahint

- basic concord - pre-sorted concord - post-sorted concord - map and chronology - chronogrid - fine-grain concord -

Similar words to tyrebagger in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
tyrebagger (0) - 1 freq
teenager (4) - 24 freq
trigger (4) - 13 freq
tcenayger (4) - 1 freq
teenaiger (4) - 1 freq
thranger (4) - 1 freq
bergjagger (4) - 2 freq
artybagger (4) - 1 freq
taggert (5) - 1 freq
badger (5) - 6 freq
draagged (5) - 1 freq
oranger (5) - 1 freq
dragged (5) - 38 freq
baager (5) - 15 freq
caretaker (5) - 5 freq
beigger (5) - 1 freq
threelegget (5) - 1 freq
treasurer (5) - 4 freq
treatie (5) - 2 freq
rebiggin (5) - 4 freq
torbayred (5) - 1 freq
garbage (5) - 9 freq
slagger (5) - 2 freq
spreader (5) - 3 freq
tadger (5) - 3 freq
tyrebagger (0) - 1 freq
trigger (5) - 13 freq
artybagger (6) - 1 freq
bugger (7) - 150 freq
rigger (7) - 2 freq
rebiggit (7) - 2 freq
bigger (7) - 237 freq
i'bigger (7) - 2 freq
traber (7) - 1 freq
strongger (7) - 1 freq
'bugger (7) - 2 freq
strangger (7) - 1 freq
feelbugger (7) - 2 freq
trafalgar (7) - 1 freq
rugger (7) - 2 freq
bawbaggery (7) - 1 freq
harbinger (7) - 2 freq
trigged (7) - 1 freq
rebigg (7) - 1 freq
triggers (7) - 1 freq
€œbugger (7) - 1 freq
teenaiger (7) - 1 freq
beigger (7) - 1 freq
thranger (7) - 1 freq
bergjagger (7) - 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 - TRBKR
tyrebagger - 1 freq
TYREBAGGER
Time to execute Levenshtein function - 0.190908 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 - 0.370037 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 - 0.029145 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 - 0.038843 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.