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 willile in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
willile (0) - 1 freq
willie (1) - 196 freq
wallie (2) - 25 freq
widpile (2) - 1 freq
william (2) - 238 freq
tillie (2) - 8 freq
hillie (2) - 1 freq
williame (2) - 1 freq
willae (2) - 2 freq
willit (2) - 1 freq
willin (2) - 58 freq
willick (2) - 2 freq
willint (2) - 5 freq
willl (2) - 1 freq
uillie (2) - 1 freq
gillie (2) - 2 freq
aillie (2) - 1 freq
killie (2) - 26 freq
wullie (2) - 416 freq
whillie (2) - 2 freq
willing (2) - 10 freq
wellie (2) - 2 freq
billie (2) - 33 freq
wyllie (2) - 5 freq
williew (2) - 1 freq
willile (0) - 1 freq
willie (2) - 196 freq
willl (2) - 1 freq
williew (3) - 1 freq
wyllie (3) - 5 freq
wellie (3) - 2 freq
whillie (3) - 2 freq
willis (3) - 1 freq
willinly (3) - 2 freq
lillie (3) - 4 freq
wulllie (3) - 1 freq
willnae (3) - 96 freq
wille (3) - 1 freq
wullie (3) - 416 freq
willies (3) - 6 freq
wilelife (3) - 2 freq
willae (3) - 2 freq
willit (3) - 1 freq
willin (3) - 58 freq
william (3) - 238 freq
williame (3) - 1 freq
wallie (3) - 25 freq
willow (4) - 15 freq
willfu (4) - 1 freq
wallace (4) - 117 freq
SoundEx code - W440
wilely - 1 freq
wellhill - 1 freq
willile - 1 freq
MetaPhone code - WLL
wilely - 1 freq
wheel'll - 1 freq
willile - 1 freq
WILLILE
Time to execute Levenshtein function - 0.203542 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 - 0.378281 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 - 0.027734 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 - 0.038568 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 - 0.000830 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.