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 wippled in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
wippled (0) - 2 freq
rippled (1) - 1 freq
wipped (1) - 1 freq
kipple (2) - 2 freq
nipples (2) - 7 freq
wisped (2) - 1 freq
wiggled (2) - 3 freq
willed (2) - 4 freq
hirpled (2) - 20 freq
pappled (2) - 2 freq
wupped (2) - 7 freq
aipple (2) - 102 freq
dimpled (2) - 1 freq
ripple (2) - 7 freq
nipped (2) - 22 freq
tipple (2) - 3 freq
winkled (2) - 1 freq
dipped (2) - 23 freq
dappled (2) - 4 freq
sirpled (2) - 1 freq
wiped (2) - 23 freq
crippled (2) - 2 freq
wiled (2) - 1 freq
nipple (2) - 3 freq
sappled (2) - 3 freq
wippled (0) - 2 freq
rippled (2) - 1 freq
wipped (2) - 1 freq
pappled (3) - 2 freq
wupped (3) - 7 freq
dappled (3) - 4 freq
sappled (3) - 3 freq
toppled (3) - 3 freq
wapped (3) - 5 freq
pimpled (4) - 1 freq
tipped (4) - 14 freq
ripples (4) - 8 freq
aipples (4) - 91 freq
zipped (4) - 5 freq
sipped (4) - 6 freq
wuppd (4) - 1 freq
wheepled (4) - 3 freq
applied (4) - 27 freq
wuppid (4) - 1 freq
supplied (4) - 8 freq
rippuld (4) - 1 freq
wupp'd (4) - 1 freq
whipped (4) - 8 freq
ripped (4) - 41 freq
dimpled (4) - 1 freq
SoundEx code - W143
wabblit - 1 freq
wippled - 2 freq
wobbled - 1 freq
wheepled - 3 freq
waffled - 1 freq
wheeplit - 2 freq
MetaPhone code - WPLT
wippled - 2 freq
wheepled - 3 freq
wheeplit - 2 freq
WIPPLED
Time to execute Levenshtein function - 0.291821 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 - 0.538315 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 - 0.060500 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 - 0.038699 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 - 0.000990 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.