A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to wanlit in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
wanlit (0) - 4 freq
wailit (1) - 1 freq
wantit (1) - 280 freq
wanwit (1) - 1 freq
waelit (1) - 1 freq
wanit (1) - 1 freq
wallit (1) - 1 freq
walit (1) - 11 freq
wansie (2) - 1 freq
wanin (2) - 2 freq
gantit (2) - 10 freq
sailit (2) - 10 freq
harlit (2) - 2 freq
wabbit (2) - 79 freq
waukit (2) - 4 freq
landit (2) - 52 freq
mannit (2) - 2 freq
mankit (2) - 9 freq
swallit (2) - 2 freq
bannit (2) - 2 freq
waantit (2) - 22 freq
wanluk (2) - 1 freq
warkit (2) - 23 freq
warmit (2) - 2 freq
rantit (2) - 1 freq
wanlit (0) - 4 freq
wanit (2) - 1 freq
wallit (2) - 1 freq
waelit (2) - 1 freq
walit (2) - 11 freq
wailit (2) - 1 freq
wantit (2) - 280 freq
wanwit (2) - 1 freq
windit (3) - 5 freq
sunlit (3) - 2 freq
wannt (3) - 1 freq
wundit (3) - 3 freq
wantet (3) - 82 freq
wanlas (3) - 1 freq
wanlos (3) - 1 freq
willit (3) - 1 freq
wallet (3) - 23 freq
waenglit (3) - 1 freq
wingit (3) - 4 freq
haunlit (3) - 1 freq
wanst (3) - 32 freq
want (3) - 1648 freq
sinlit (3) - 1 freq
wanluk (3) - 1 freq
waantit (3) - 22 freq
SoundEx code - W543
whummled - 7 freq
wonldnue - 1 freq
whummelt - 5 freq
wanlit - 4 freq
whammled - 1 freq
wammled - 5 freq
whammelt - 1 freq
wan-leidit - 1 freq
whummilt - 2 freq
whummlet - 1 freq
wummled - 3 freq
whammlet - 1 freq
MetaPhone code - WNLT
wanlit - 4 freq
WANLIT
Time to execute Levenshtein function - 0.218366 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 - 0.396653 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 - 0.027505 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 - 0.037388 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 - 0.000880 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.