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 vipers in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
vipers (0) - 5 freq
viper (1) - 1 freq
vivers (1) - 1 freq
wipers (1) - 4 freq
pipers (1) - 10 freq
hikers (2) - 2 freq
vers (2) - 1 freq
timers (2) - 5 freq
vibes (2) - 6 freq
mixers (2) - 1 freq
capers (2) - 7 freq
uppers (2) - 2 freq
vices (2) - 12 freq
videos (2) - 19 freq
eilers (2) - 1 freq
vigurs (2) - 1 freq
lippers (2) - 9 freq
paipers (2) - 5 freq
divers (2) - 10 freq
vicars (2) - 1 freq
ripens (2) - 2 freq
livers (2) - 1 freq
topers (2) - 1 freq
fivers (2) - 3 freq
voters (2) - 63 freq
vipers (0) - 5 freq
pipers (2) - 10 freq
wipers (2) - 4 freq
viper (2) - 1 freq
vivers (2) - 1 freq
topers (3) - 1 freq
veivers (3) - 1 freq
lepers (3) - 4 freq
voters (3) - 63 freq
vicars (3) - 1 freq
leipers (3) - 2 freq
veers (3) - 1 freq
rypers (3) - 1 freq
neipers (3) - 2 freq
japers (3) - 15 freq
paipers (3) - 5 freq
piers (3) - 7 freq
vigurs (3) - 1 freq
capers (3) - 7 freq
veiper's (3) - 1 freq
vers (3) - 1 freq
viewers (3) - 6 freq
vapours (3) - 1 freq
uppers (3) - 2 freq
pers (3) - 1 freq
SoundEx code - V162
veiper's - 1 freq
vipers - 5 freq
vapours - 1 freq
veivers - 1 freq
vivers - 1 freq
MetaPhone code - FPRS
veiper's - 1 freq
vipers - 5 freq
vapours - 1 freq
VIPERS
Time to execute Levenshtein function - 0.179113 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 - 0.354500 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 - 0.027607 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 - 0.037055 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 - 0.000912 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.