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 toarn-faced in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
toarn-faced (0) - 1 freq
torn-faced (1) - 4 freq
lyart-faced (3) - 1 freq
roun-faced (3) - 1 freq
twae-faced (3) - 1 freq
bare-faced (3) - 4 freq
twa-faced (3) - 3 freq
wart-faced (3) - 2 freq
stern-faced (3) - 1 freq
soor-faced (3) - 4 freq
lang-faced (4) - 4 freq
steen-faced (4) - 1 freq
shame-faced (4) - 2 freq
blae-faced (4) - 2 freq
fair-faced (4) - 3 freq
sham-faced (4) - 1 freq
baw-faced (4) - 1 freq
far-famed (4) - 1 freq
barefaced (4) - 2 freq
oarange-faced (4) - 1 freq
green-faced (4) - 1 freq
baa-faced (4) - 1 freq
rock-faced (4) - 1 freq
langfaced (4) - 1 freq
din-faced (4) - 1 freq
toarn-faced (0) - 1 freq
torn-faced (1) - 4 freq
roun-faced (4) - 1 freq
stern-faced (4) - 1 freq
soor-faced (5) - 4 freq
twae-faced (5) - 1 freq
lyart-faced (5) - 1 freq
green-faced (5) - 1 freq
wart-faced (5) - 2 freq
bare-faced (5) - 4 freq
twa-faced (5) - 3 freq
fair-faced (6) - 3 freq
girnie-faced (6) - 1 freq
oarange-faced (6) - 1 freq
steen-faced (6) - 1 freq
din-faced (6) - 1 freq
rid-faced (7) - 4 freq
bold-faced (7) - 1 freq
frug-faced (7) - 1 freq
reed-faced (7) - 6 freq
poe-faced (7) - 3 freq
reid-faced (7) - 3 freq
transfixed (7) - 6 freq
girnan-faced (7) - 1 freq
grim-faced (7) - 2 freq
SoundEx code - T651
triumph - 17 freq
trump - 74 freq
trumped - 2 freq
trumpin - 5 freq
tremblin - 15 freq
tremblt - 1 freq
trampl't - 1 freq
triumphantly - 10 freq
tremble - 6 freq
trumpet - 25 freq
trembled - 9 freq
torn-faced - 4 freq
tramp' - 1 freq
tramps - 7 freq
tramplt - 1 freq
trampin - 15 freq
'trump - 1 freq
turnbull - 9 freq
triumphant - 10 freq
tremblay - 2 freq
trembles - 2 freq
tramp's - 1 freq
tramp - 27 freq
trampt - 2 freq
trampled - 10 freq
trampit - 6 freq
trample - 3 freq
triumphant-lik - 1 freq
trumpets - 4 freq
turnaboot - 1 freq
trembling - 4 freq
trramp-like - 1 freq
triumphs - 2 freq
trampoline - 3 freq
trumpat - 1 freq
turnips' - 1 freq
'trumped' - 1 freq
triumphalism - 1 freq
torn-puss - 1 freq
trumps - 8 freq
trumpties - 1 freq
turn-up - 1 freq
trampid - 1 freq
trampelt - 2 freq
turn-ups - 1 freq
thrampt - 2 freq
thramp - 2 freq
thrampin - 1 freq
turnips - 4 freq
trumpit - 5 freq
thairineftir - 1 freq
tramp-like - 1 freq
tramped - 11 freq
trumphand-lik - 1 freq
trampan - 1 freq
trumpeting - 1 freq
thrombotic - 1 freq
thrumfu - 1 freq
triumphed - 2 freq
turnpikes - 1 freq
toarn-faced - 1 freq
traimple - 1 freq
traimpled - 1 freq
trumpled - 1 freq
tramplin - 3 freq
tremblan - 6 freq
triumphant-like - 1 freq
turnip - 4 freq
trumple - 1 freq
turnabout - 1 freq
tirnpek - 1 freq
turnipheid - 1 freq
trump's - 5 freq
tremblingly - 1 freq
trampolinin - 1 freq
terramper - 1 freq
'turnip' - 1 freq
trump’s - 1 freq
trumpoline - 2 freq
torinofc - 2 freq
trampolines - 1 freq
tryinbtae - 1 freq
trumprally - 1 freq
thornybank - 1 freq
trumpet's - 1 freq
MetaPhone code - TRNFST
torn-faced - 4 freq
toarn-faced - 1 freq
TOARN-FACED
Time to execute Levenshtein function - 0.717353 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 - 0.988276 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 - 0.087794 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 - 0.046052 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 - 0.001153 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.