A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to allwullie in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
allwullie (0) - 6 freq
allwullie's (2) - 2 freq
jnrwullie (3) - 1 freq
wullie (3) - 422 freq
ackwallie (3) - 2 freq
akwallie (3) - 2 freq
oorwullie (3) - 2 freq
allavolie (3) - 1 freq
€œwullie (3) - 2 freq
ill-willie (3) - 4 freq
holywullie (3) - 1 freq
yoorwullie (4) - 5 freq
lillie (4) - 4 freq
wyllie (4) - 5 freq
'willie (4) - 1 freq
sullie (4) - 2 freq
awwuliy (4) - 1 freq
slawlie (4) - 10 freq
peullie (4) - 10 freq
alluterlie (4) - 1 freq
allouit (4) - 1 freq
allylove (4) - 8 freq
allouance (4) - 3 freq
aefauldlie (4) - 2 freq
fullie (4) - 3 freq
allwullie (0) - 6 freq
holywullie (4) - 1 freq
ill-willie (4) - 4 freq
allwullie's (4) - 2 freq
wullie (5) - 422 freq
ill-wull (5) - 5 freq
ull-wull (5) - 2 freq
€œwullie (5) - 2 freq
akwallie (5) - 2 freq
allavolie (5) - 1 freq
oorwullie (5) - 2 freq
ackwallie (5) - 2 freq
waullie (6) - 2 freq
wallie (6) - 25 freq
gallowlie (6) - 2 freq
swallie (6) - 8 freq
wellie (6) - 2 freq
alsweill (6) - 1 freq
alleluia (6) - 2 freq
millwall (6) - 1 freq
ill-willy (6) - 3 freq
ill-will (6) - 6 freq
willie (6) - 197 freq
slowlie (6) - 1 freq
guidwullie (6) - 1 freq
SoundEx code - A440
allwullie - 6 freq
alleluia - 2 freq
MetaPhone code - ALWL
allwullie - 6 freq
ALLWULLIE
Time to execute Levenshtein function - 0.226347 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 - 0.387871 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 - 0.028531 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 - 0.037557 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 - 0.000940 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.