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 tenv in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
tenv (0) - 1 freq
tent (1) - 458 freq
tens (1) - 13 freq
ten (1) - 619 freq
teng (1) - 1 freq
tnv (1) - 1 freq
ten' (1) - 1 freq
env (1) - 1 freq
tend (1) - 55 freq
tiny (2) - 54 freq
gent (2) - 10 freq
leev (2) - 3 freq
fehv (2) - 1 freq
went (2) - 1912 freq
stend (2) - 1 freq
teip (2) - 2 freq
taen (2) - 999 freq
ee'v (2) - 1 freq
teuk (2) - 221 freq
sens (2) - 6 freq
tear (2) - 100 freq
tong (2) - 6 freq
tmv (2) - 1 freq
telc (2) - 1 freq
cent (2) - 20 freq
tenv (0) - 1 freq
tnv (1) - 1 freq
ten' (2) - 1 freq
tend (2) - 55 freq
env (2) - 1 freq
teng (2) - 1 freq
tent (2) - 458 freq
tens (2) - 13 freq
ten (2) - 619 freq
teen (3) - 461 freq
ting (3) - 49 freq
tng (3) - 1 freq
tone (3) - 153 freq
tyna (3) - 1 freq
tons (3) - 10 freq
tean (3) - 1 freq
tan (3) - 48 freq
tien (3) - 3 freq
tank (3) - 25 freq
thuv (3) - 5 freq
nev (3) - 6 freq
tense (3) - 79 freq
tulv (3) - 1 freq
envy (3) - 25 freq
tein (3) - 3 freq
SoundEx code - T510
thump - 32 freq
thumb - 24 freq
tomb - 31 freq
tomboy - 1 freq
tempo - 4 freq
temp - 734 freq
twa-an-a-hauf - 2 freq
thomp - 1 freq
thoomb - 6 freq
tumb - 1 freq
timpo - 1 freq
temp- - 7 freq
tmv - 1 freq
tnv - 1 freq
tomb” - 1 freq
tmmf - 1 freq
timehop - 1 freq
tenv - 1 freq
tywanb - 1 freq
tonyip - 1 freq
MetaPhone code - TNF
dounfaw - 5 freq
doonfaa - 3 freq
doonfa - 2 freq
tnv - 1 freq
dianeeva - 1 freq
dunfy - 1 freq
tenv - 1 freq
TENV
Time to execute Levenshtein function - 0.250330 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 - 0.482908 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 - 0.034546 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 - 0.047383 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 - 0.001124 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.