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 warpelt in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
warpelt (0) - 1 freq
warselt (1) - 2 freq
warped (2) - 5 freq
dappelt (2) - 1 freq
warsel (2) - 3 freq
carpet (2) - 52 freq
waggelt (2) - 1 freq
hirpelt (2) - 2 freq
garpel (2) - 1 freq
warpit (2) - 1 freq
wareit (2) - 1 freq
marbelt (2) - 1 freq
warmest (2) - 5 freq
warple (2) - 1 freq
warp-let (2) - 1 freq
spelt (3) - 46 freq
wantet (3) - 82 freq
waxwell (3) - 1 freq
sarpents (3) - 1 freq
waste't (3) - 1 freq
waarmest (3) - 1 freq
bardet (3) - 1 freq
unspelt (3) - 1 freq
sarely (3) - 1 freq
barrel (3) - 42 freq
warpelt (0) - 1 freq
warselt (2) - 2 freq
warpit (3) - 1 freq
warple (3) - 1 freq
hirpelt (3) - 2 freq
warp-let (3) - 1 freq
hirplt (4) - 1 freq
warpaint (4) - 1 freq
warplan (4) - 1 freq
wumpilt (4) - 1 freq
hirpilt (4) - 4 freq
warslet (4) - 6 freq
warmest (4) - 5 freq
warsel (4) - 3 freq
dappelt (4) - 1 freq
warped (4) - 5 freq
marbelt (4) - 1 freq
carpet (4) - 52 freq
garpel (4) - 1 freq
wareit (4) - 1 freq
waggelt (4) - 1 freq
sarpint (5) - 3 freq
rimpelt (5) - 1 freq
marple (5) - 2 freq
wirset (5) - 1 freq
SoundEx code - W614
warple - 1 freq
warblin - 1 freq
warbled - 1 freq
warbles - 3 freq
warp-let - 1 freq
warplan - 1 freq
warbling - 1 freq
warpelt - 1 freq
warble-flee - 1 freq
warbler - 1 freq
MetaPhone code - WRPLT
warp-let - 1 freq
warpelt - 1 freq
WARPELT
Time to execute Levenshtein function - 0.271766 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 - 0.450507 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 - 0.030541 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 - 0.040697 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 - 0.000950 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.