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 wipers in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
wipers (0) - 4 freq
pipers (1) - 10 freq
vipers (1) - 5 freq
wipes (1) - 4 freq
wiprt (2) - 1 freq
wyper (2) - 1 freq
wier (2) - 2 freq
wises (2) - 1 freq
nippers (2) - 2 freq
widders (2) - 2 freq
sippers (2) - 1 freq
viper (2) - 1 freq
papers (2) - 137 freq
uppers (2) - 2 freq
riders (2) - 8 freq
wirs (2) - 4 freq
bikers (2) - 2 freq
waders (2) - 4 freq
miners (2) - 41 freq
hikers (2) - 2 freq
bilers (2) - 1 freq
uisers (2) - 17 freq
wife's (2) - 27 freq
divers (2) - 10 freq
piper (2) - 31 freq
wipers (0) - 4 freq
vipers (2) - 5 freq
wipes (2) - 4 freq
pipers (2) - 10 freq
wips (3) - 1 freq
capers (3) - 7 freq
wires (3) - 27 freq
wagers (3) - 1 freq
lepers (3) - 4 freq
topers (3) - 1 freq
weers (3) - 16 freq
waiters (3) - 8 freq
waters (3) - 18 freq
paipers (3) - 5 freq
japers (3) - 15 freq
waders (3) - 4 freq
neipers (3) - 2 freq
piers (3) - 7 freq
wavers (3) - 1 freq
leipers (3) - 2 freq
wyper (3) - 1 freq
wiprt (3) - 1 freq
rypers (3) - 1 freq
pers (3) - 1 freq
papers (3) - 137 freq
SoundEx code - W162
wipers - 4 freq
whoever's - 1 freq
weavers - 9 freq
whaiver's - 2 freq
wfirst - 2 freq
wabwark - 3 freq
wabwarks - 1 freq
whoppers - 1 freq
weavers' - 1 freq
wavers - 1 freq
wab-brousers - 1 freq
MetaPhone code - WPRS
wipers - 4 freq
whoppers - 1 freq
WIPERS
Time to execute Levenshtein function - 0.241443 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 - 0.387017 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 - 0.032236 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 - 0.037888 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 - 0.000865 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.