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 twists in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
twists (0) - 9 freq
twisty (1) - 2 freq
trists (1) - 1 freq
twits (1) - 1 freq
twist (1) - 45 freq
twilts (1) - 1 freq
beists (2) - 1 freq
exists (2) - 44 freq
twines (2) - 2 freq
twite (2) - 2 freq
toasts (2) - 2 freq
blists (2) - 2 freq
triste (2) - 1 freq
twis (2) - 13 freq
tweests (2) - 1 freq
twirls (2) - 1 freq
tist (2) - 1 freq
twinty (2) - 161 freq
tints (2) - 3 freq
mists (2) - 8 freq
baists (2) - 22 freq
wrists (2) - 9 freq
reists (2) - 1 freq
tristy (2) - 1 freq
tilts (2) - 8 freq
twists (0) - 9 freq
tweests (2) - 1 freq
twist (2) - 45 freq
twilts (2) - 1 freq
twisty (2) - 2 freq
twits (2) - 1 freq
trists (2) - 1 freq
traists (3) - 1 freq
twisted (3) - 24 freq
twisitt (3) - 1 freq
trysts (3) - 8 freq
waists (3) - 3 freq
towrists (3) - 8 freq
twats (3) - 2 freq
twistin (3) - 14 freq
trusts (3) - 8 freq
tests (3) - 27 freq
twister (3) - 2 freq
taests (3) - 1 freq
twistet (3) - 3 freq
toasts (3) - 2 freq
twistit (3) - 37 freq
twatts (3) - 1 freq
twyst (3) - 1 freq
tweets (3) - 56 freq
SoundEx code - T232
tastes - 37 freq
thochts - 324 freq
thoughts - 56 freq
thouchts - 22 freq
tickets - 83 freq
tactical - 4 freq
texts - 100 freq
teuchats - 1 freq
tt's-it's - 1 freq
twa'guidsakes - 1 freq
tich-tich - 1 freq
tichtest - 3 freq
'texts' - 1 freq
toasts - 2 freq
tactics - 17 freq
tick-tack - 1 freq
thocht-experiment - 1 freq
tikket's - 4 freq
ticket's - 3 freq
twists - 9 freq
tests - 27 freq
thocht's - 3 freq
tweests - 1 freq
tactic - 2 freq
tights - 15 freq
tackets - 3 freq
tickits - 2 freq
testes - 1 freq
tic-tac-toe - 3 freq
tacitus's - 1 freq
tacitus - 3 freq
toijets - 1 freq
tick-tokkan - 1 freq
testicle - 1 freq
ticht-set - 1 freq
thusgates - 22 freq
text's - 1 freq
tochts - 6 freq
taesets - 1 freq
testosterone - 2 freq
'tests' - 1 freq
thochtish - 3 freq
taests - 1 freq
thochties - 1 freq
thochtikie - 1 freq
toushties - 1 freq
tacitus' - 1 freq
tak-the-gate - 1 freq
teuchats' - 1 freq
tic-tac - 1 freq
texts' - 1 freq
tactica - 2 freq
teuchits - 1 freq
tastiest - 2 freq
tysties - 1 freq
test-case - 1 freq
text-spaek - 1 freq
tuesdays - 3 freq
€œtights - 1 freq
touchts - 1 freq
tuck-tuck - 1 freq
€œthoughts - 1 freq
tactically - 2 freq
tuesday's - 1 freq
thesedays - 1 freq
thoochts - 1 freq
toast's - 1 freq
toasties - 5 freq
tichts - 1 freq
thescotscafe - 6 freq
thocts - 1 freq
tstqufklfx - 1 freq
taqkxotshd - 1 freq
thoights - 1 freq
tkqjthg - 1 freq
thescotsman - 8 freq
tweaktweak - 1 freq
tiktok - 2 freq
testicles - 1 freq
tgtjfq - 1 freq
thequietkid - 1 freq
thecatstrand - 1 freq
MetaPhone code - TWSTS
twists - 9 freq
tweests - 1 freq
TWISTS
Time to execute Levenshtein function - 0.199044 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 - 0.368931 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 - 0.027267 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 - 0.041584 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 - 0.001019 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.