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 tapadh in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
tapadh (0) - 1 freq
garadh (2) - 1 freq
talamh (2) - 1 freq
taped (2) - 4 freq
stapag (3) - 1 freq
aach (3) - 1 freq
japan (3) - 10 freq
path (3) - 178 freq
rapids (3) - 1 freq
ahah (3) - 1 freq
typed (3) - 10 freq
apa (3) - 2 freq
tepid (3) - 1 freq
teach (3) - 86 freq
laada (3) - 2 freq
taid (3) - 2 freq
spad (3) - 2 freq
rapid (3) - 15 freq
tapper (3) - 1 freq
salads (3) - 4 freq
thrade (3) - 1 freq
fleadh (3) - 1 freq
tapin' (3) - 1 freq
acad (3) - 2 freq
larach (3) - 1 freq
tapadh (0) - 1 freq
taped (3) - 4 freq
tepid (4) - 1 freq
garadh (4) - 1 freq
typed (4) - 10 freq
talamh (4) - 1 freq
taked (5) - 1 freq
teath (5) - 1 freq
tapes (5) - 11 freq
typhoo (5) - 1 freq
apache (5) - 2 freq
tapner (5) - 2 freq
i'path (5) - 1 freq
trad (5) - 12 freq
tahhh (5) - 1 freq
tand (5) - 1 freq
tauld (5) - 11 freq
spade (5) - 26 freq
tarbh (5) - 1 freq
tuath (5) - 1 freq
tappan (5) - 3 freq
pada (5) - 1 freq
tapiwa (5) - 19 freq
taketh (5) - 1 freq
taands (5) - 1 freq
SoundEx code - T130
theft - 12 freq
tippit - 10 freq
teapot - 10 freq
tiptoe - 6 freq
tipped - 14 freq
twa-foot - 1 freq
tyauved - 5 freq
tiptae - 6 freq
taibit - 1 freq
tapped - 17 freq
tuft - 1 freq
taypot - 5 freq
tibet - 10 freq
typit - 3 freq
toppet - 2 freq
taft - 1 freq
tufty - 1 freq
taupit - 1 freq
thieved - 1 freq
toppit - 1 freq
tappit - 6 freq
typed - 10 freq
taped - 4 freq
teeveeheid - 73 freq
'teeveeheid - 3 freq
topped - 1 freq
taffeta - 1 freq
taepot - 1 freq
taptoo - 1 freq
toffed - 1 freq
tift - 4 freq
tuffet - 2 freq
tuffed - 1 freq
tapp't - 1 freq
toppd - 1 freq
tippt - 1 freq
tippytae - 1 freq
tap-aat - 1 freq
teapit - 1 freq
tuftie - 1 freq
toved - 1 freq
tipt - 1 freq
twa-fit - 1 freq
teviot - 2 freq
teyaaved - 1 freq
tea-pat - 1 freq
€œtibet - 1 freq
tepid - 1 freq
tufd - 1 freq
tpwd - 1 freq
twhpt - 1 freq
toft - 1 freq
tapadh - 1 freq
MetaPhone code - TPT
dippit - 12 freq
tippit - 10 freq
dipped - 23 freq
teapot - 10 freq
tiptoe - 6 freq
tipped - 14 freq
tiptae - 6 freq
daupit - 3 freq
tapped - 17 freq
dowpit - 26 freq
taypot - 5 freq
typit - 3 freq
toppet - 2 freq
taupit - 1 freq
deputy - 6 freq
toppit - 1 freq
tappit - 6 freq
dappit - 1 freq
typed - 10 freq
doped - 2 freq
taped - 4 freq
'dippit - 1 freq
topped - 1 freq
taepot - 1 freq
taptoo - 1 freq
tapp't - 1 freq
toppd - 1 freq
depute - 21 freq
tippt - 1 freq
tippytae - 1 freq
tap-aat - 1 freq
dept - 7 freq
depot - 1 freq
teapit - 1 freq
doupit - 1 freq
dowped - 1 freq
tipt - 1 freq
dawpit - 1 freq
tea-pat - 1 freq
tepid - 1 freq
ytpyt - 1 freq
dpd - 1 freq
tpwd - 1 freq
twhpt - 1 freq
dopyt - 1 freq
tapadh - 1 freq
TAPADH
Time to execute Levenshtein function - 0.380045 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 - 0.382292 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 - 0.027767 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 - 0.037347 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 - 0.000892 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.