A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ahint

- basic concord - pre-sorted concord - post-sorted concord - map and chronology - chronogrid - fine-grain concord -

Similar words to whapit in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
whapit (0) - 1 freq
chapit (1) - 1 freq
whalpit (1) - 4 freq
shapit (1) - 14 freq
teapit (2) - 1 freq
what (2) - 1718 freq
wadit (2) - 1 freq
whap's (2) - 1 freq
happit (2) - 102 freq
whit (2) - 6995 freq
wheepit (2) - 2 freq
hatit (2) - 15 freq
chappt (2) - 3 freq
wrappt (2) - 2 freq
halpit (2) - 12 freq
whair (2) - 12 freq
wuppit (2) - 3 freq
harit (2) - 1 freq
whain (2) - 1 freq
leapit (2) - 2 freq
whitit (2) - 1 freq
hait (2) - 16 freq
wabit (2) - 1 freq
wyppit (2) - 1 freq
warpit (2) - 1 freq
whapit (0) - 1 freq
wheepit (2) - 2 freq
whoopit (2) - 1 freq
chapit (2) - 1 freq
whipt (2) - 2 freq
whalpit (2) - 4 freq
shapit (2) - 14 freq
wipit (3) - 5 freq
whant (3) - 15 freq
whaft (3) - 1 freq
whaurit (3) - 1 freq
hapt (3) - 5 freq
heapit (3) - 4 freq
whaps (3) - 3 freq
whaurt (3) - 2 freq
wappit (3) - 13 freq
whap (3) - 2 freq
whaut (3) - 12 freq
shaipit (3) - 1 freq
wrapt (3) - 3 freq
shaepit (3) - 2 freq
whuppit (3) - 2 freq
haipit (3) - 1 freq
hopit (3) - 2 freq
wypit (3) - 1 freq
SoundEx code - W130
wiped - 23 freq
wept - 7 freq
waved - 62 freq
wabbit - 79 freq
wappit - 13 freq
wyppit - 1 freq
whupped - 3 freq
wavit - 2 freq
weft - 6 freq
whoopit - 1 freq
weavit - 3 freq
wipit - 5 freq
waft - 7 freq
wuppet - 2 freq
whipt - 2 freq
wee-bit - 6 freq
weaved - 2 freq
wabit - 1 freq
wipped - 1 freq
wyved - 3 freq
wheeped - 5 freq
whippit - 8 freq
whapped - 1 freq
wheepit - 2 freq
wab't - 1 freq
wip'id - 1 freq
wibbit - 2 freq
whipped - 8 freq
whibbit - 1 freq
wibit - 1 freq
waaft - 1 freq
wuppit - 3 freq
wupp'd - 1 freq
wupped - 7 freq
waffed - 4 freq
wapped - 5 freq
waffit - 2 freq
wippit - 12 freq
whuppid - 1 freq
wuppd - 1 freq
wypit - 1 freq
wafft - 5 freq
whuppitie - 1 freq
whuppity - 6 freq
wauffit - 1 freq
whuppit - 2 freq
wyvit - 2 freq
'wabbit' - 1 freq
whooped - 1 freq
whufft - 1 freq
webbit - 1 freq
whapit - 1 freq
wuppid - 1 freq
wabiti - 1 freq
waabit - 2 freq
wifiewattie - 8 freq
wifty - 5 freq
wfd - 1 freq
whaft - 1 freq
wpdyy - 1 freq
wfpd - 1 freq
MetaPhone code - WPT
wiped - 23 freq
wept - 7 freq
wappit - 13 freq
whupped - 3 freq
whoopit - 1 freq
wipit - 5 freq
wuppet - 2 freq
whipt - 2 freq
wipped - 1 freq
wheeped - 5 freq
whippit - 8 freq
whapped - 1 freq
wheepit - 2 freq
wip'id - 1 freq
whipped - 8 freq
wuppit - 3 freq
wupp'd - 1 freq
wupped - 7 freq
wapped - 5 freq
wippit - 12 freq
whuppid - 1 freq
wuppd - 1 freq
whuppitie - 1 freq
whuppity - 6 freq
whuppit - 2 freq
whooped - 1 freq
whapit - 1 freq
wuppid - 1 freq
WHAPIT
Time to execute Levenshtein function - 0.209174 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 - 0.365149 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 - 0.028155 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 - 0.036412 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 - 0.000814 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.