A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ahint

- basic concord - pre-sorted concord - post-sorted concord - map and chronology - chronogrid - fine-grain concord -

Similar words to ullans in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
ullans (0) - 32 freq
uplans (1) - 2 freq
islans (2) - 5 freq
shullans (2) - 1 freq
uplands (2) - 2 freq
plans (2) - 104 freq
uplan (2) - 4 freq
alans (2) - 2 freq
loans (2) - 11 freq
allan (2) - 91 freq
cleans (2) - 9 freq
willans (2) - 1 freq
ulls (2) - 1 freq
sulla's (2) - 1 freq
leans (2) - 17 freq
ulan (2) - 1 freq
uncans (2) - 4 freq
allays (2) - 1 freq
ellons (2) - 1 freq
gullane (2) - 2 freq
flans (2) - 3 freq
uplins (2) - 1 freq
lans (2) - 15 freq
gleans (2) - 1 freq
uplauns (2) - 2 freq
ullans (0) - 32 freq
uplans (2) - 2 freq
ellons (2) - 1 freq
gleans (3) - 1 freq
uplauns (3) - 2 freq
lans (3) - 15 freq
flans (3) - 3 freq
albans (3) - 1 freq
uplins (3) - 1 freq
sloans (3) - 1 freq
lallans (3) - 136 freq
ellan (3) - 2 freq
ella's (3) - 10 freq
solans (3) - 3 freq
allays (3) - 1 freq
hallans (3) - 1 freq
clans (3) - 26 freq
millans (3) - 1 freq
allan (3) - 91 freq
loans (3) - 11 freq
alans (3) - 2 freq
plans (3) - 104 freq
willans (3) - 1 freq
cleans (3) - 9 freq
ulls (3) - 1 freq
SoundEx code - U452
ullans - 32 freq
ullanscentre - 2 freq
uillymac - 1 freq
MetaPhone code - ULNS
ullans - 32 freq
ULLANS
Time to execute Levenshtein function - 0.203281 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 - 0.352353 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 - 0.030049 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 - 0.038206 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 - 0.000916 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.