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 twalve in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
twalve (0) - 10 freq
twelve (1) - 85 freq
twal' (2) - 1 freq
walie (2) - 1 freq
salve (2) - 5 freq
tyaave (2) - 2 freq
twaese (2) - 3 freq
valve (2) - 1 freq
twal (2) - 120 freq
twelvr (2) - 1 freq
twalt (2) - 2 freq
twall (2) - 3 freq
halve (2) - 1 freq
'twelve (2) - 2 freq
tsalne (2) - 1 freq
toalie (2) - 1 freq
twalth (2) - 1 freq
tyauve (2) - 20 freq
tale (2) - 299 freq
twae (2) - 228 freq
waeve (2) - 1 freq
wale (2) - 34 freq
waive (2) - 3 freq
twelves (2) - 1 freq
wave (2) - 129 freq
twalve (0) - 10 freq
twelve (1) - 85 freq
twall (3) - 3 freq
twelvr (3) - 1 freq
'twelve (3) - 2 freq
twelves (3) - 1 freq
twal (3) - 120 freq
twalt (3) - 2 freq
twal' (3) - 1 freq
twelfie (4) - 1 freq
outwale (4) - 3 freq
wave (4) - 129 freq
twaal (4) - 6 freq
walee (4) - 1 freq
twilt (4) - 2 freq
waive (4) - 3 freq
twaul (4) - 2 freq
twill (4) - 1 freq
twaalt (4) - 1 freq
ootwale (4) - 3 freq
twel (4) - 1 freq
tulv (4) - 1 freq
wale (4) - 34 freq
salve (4) - 5 freq
halve (4) - 1 freq
SoundEx code - T410
twelve - 85 freq
twalve - 10 freq
tulip - 2 freq
'twelve - 2 freq
tea-leaf - 1 freq
tulv - 1 freq
twelfie - 1 freq
tohlp - 1 freq
tlup - 1 freq
MetaPhone code - TWLF
twelve - 85 freq
twalve - 10 freq
'twelve - 2 freq
twelfie - 1 freq
TWALVE
Time to execute Levenshtein function - 0.199215 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 - 0.352173 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 - 0.029238 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 - 0.038472 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 - 0.000850 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.