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 wimpy in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
wimpy (0) - 5 freq
wimp (1) - 1 freq
wimps (1) - 1 freq
wispy (1) - 5 freq
wirdy (2) - 1 freq
widy (2) - 6 freq
timmy (2) - 2 freq
swampy (2) - 1 freq
wisny (2) - 4 freq
jumpy (2) - 2 freq
wiley (2) - 1 freq
limp (2) - 19 freq
wipp (2) - 1 freq
compy (2) - 1 freq
limply (2) - 1 freq
windy (2) - 35 freq
mimly (2) - 2 freq
gimp (2) - 3 freq
imply (2) - 2 freq
winky (2) - 7 freq
wilny (2) - 2 freq
willy (2) - 12 freq
simmy (2) - 1 freq
wipe (2) - 53 freq
jimpt (2) - 1 freq
wimpy (0) - 5 freq
wimp (1) - 1 freq
wispy (2) - 5 freq
wimps (2) - 1 freq
wisp (3) - 6 freq
kempy (3) - 2 freq
weepy (3) - 3 freq
wappy (3) - 1 freq
mpy (3) - 1 freq
wipe (3) - 53 freq
timpo (3) - 1 freq
imp (3) - 3 freq
wimen (3) - 1 freq
gimp (3) - 3 freq
bumpy (3) - 1 freq
wimin (3) - 1 freq
jimp (3) - 34 freq
wipp (3) - 1 freq
swampy (3) - 1 freq
wim (3) - 2 freq
limp (3) - 19 freq
empy (3) - 6 freq
compy (3) - 1 freq
lumpy (3) - 4 freq
wip (3) - 3 freq
SoundEx code - W510
womb - 8 freq
weanp - 1 freq
wannabe - 6 freq
wimp - 1 freq
whump - 2 freq
wanhowp - 6 freq
wanhope - 1 freq
wan-off - 1 freq
wanhowpfu - 1 freq
wanhap - 1 freq
winfa - 1 freq
wunup - 1 freq
wimpy - 5 freq
wnvh - 1 freq
wan-aff - 1 freq
MetaPhone code - WMP
wimp - 1 freq
whump - 2 freq
wimpy - 5 freq
WIMPY
Time to execute Levenshtein function - 0.213085 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 - 0.357019 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 - 0.027772 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 - 0.038057 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 - 0.000806 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.