A Corpus of 21st Century Scots Texts

Intro a b c d e f g h i j k l m n o p q r s t u v w x y z Texts Writers Statistics Top200 Search Compare

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 whapped in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
whapped (0) - 1 freq
happed (1) - 35 freq
wapped (1) - 5 freq
chapped (1) - 40 freq
wrapped (1) - 53 freq
whipped (1) - 8 freq
whupped (1) - 3 freq
happeq (2) - 1 freq
chappet (2) - 2 freq
happen (2) - 383 freq
flapped (2) - 3 freq
warped (2) - 5 freq
crapped (2) - 1 freq
hepped (2) - 1 freq
wupped (2) - 7 freq
chipped (2) - 14 freq
halped (2) - 2 freq
stapped (2) - 121 freq
shaped (2) - 34 freq
clapped (2) - 28 freq
papped (2) - 22 freq
wrapper (2) - 21 freq
japped (2) - 2 freq
zapped (2) - 2 freq
whopper (2) - 3 freq
whapped (0) - 1 freq
whupped (1) - 3 freq
whipped (1) - 8 freq
chapped (2) - 40 freq
happed (2) - 35 freq
wapped (2) - 5 freq
whuppid (2) - 1 freq
wrapped (2) - 53 freq
wupped (3) - 7 freq
chipped (3) - 14 freq
hepped (3) - 1 freq
wheeped (3) - 5 freq
chopped (3) - 6 freq
shipped (3) - 4 freq
wipped (3) - 1 freq
whooped (3) - 1 freq
hopped (3) - 1 freq
whopper (3) - 3 freq
swapped (4) - 8 freq
happend (4) - 1 freq
wappen (4) - 5 freq
drapped (4) - 109 freq
haiped (4) - 1 freq
whanged (4) - 1 freq
whanted (4) - 4 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
WHAPPED
Time to execute Levenshtein function - 0.211206 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 - 0.369459 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 - 0.027647 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 - 0.037390 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 - 0.000861 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.