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 weakness in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
weakness (0) - 20 freq
weariness (2) - 1 freq
blakness (2) - 3 freq
weakest (2) - 4 freq
seekness (2) - 11 freq
weelness (2) - 1 freq
derkness (2) - 20 freq
wee-ness (2) - 1 freq
seikness (2) - 7 freq
waekness (2) - 1 freq
bleakness (2) - 2 freq
weaknesses (2) - 1 freq
weetness (2) - 1 freq
rahness (3) - 1 freq
derknes (3) - 1 freq
weakent (3) - 1 freq
daarkness (3) - 2 freq
learners (3) - 6 freq
leanne's (3) - 6 freq
fellness (3) - 1 freq
wulness (3) - 1 freq
readiness (3) - 1 freq
likness (3) - 1 freq
waffness (3) - 1 freq
weirdness (3) - 1 freq
weakness (0) - 20 freq
waekness (2) - 1 freq
seikness (3) - 7 freq
weaknesses (3) - 1 freq
weetness (3) - 1 freq
weariness (3) - 1 freq
wee-ness (3) - 1 freq
seekness (3) - 11 freq
weelness (3) - 1 freq
likness (4) - 1 freq
weekeens (4) - 1 freq
wareness (4) - 1 freq
wileness (4) - 1 freq
witness (4) - 89 freq
weekens (4) - 1 freq
waefuness (4) - 1 freq
wulness (4) - 1 freq
waiknes (4) - 1 freq
wuidness (4) - 2 freq
wutness (4) - 10 freq
derkness (4) - 20 freq
weakest (4) - 4 freq
blakness (4) - 3 freq
bleakness (4) - 2 freq
kness (4) - 1 freq
SoundEx code - W252
washinextra' - 1 freq
wagons - 7 freq
weicheng - 1 freq
wagang - 1 freq
weakness - 20 freq
wooziness - 1 freq
washing-extra - 1 freq
wysins - 5 freq
washins - 1 freq
weekens - 1 freq
washing - 22 freq
wiiginxt - 1 freq
wickenn's - 1 freq
washing's - 1 freq
wishing - 7 freq
whuskin's - 3 freq
wik-ens - 1 freq
washin-extra - 1 freq
week-ens - 1 freq
weighing - 1 freq
washinmachines - 1 freq
washinmachine - 1 freq
washin-extree - 1 freq
wakkens - 1 freq
waak-ins - 1 freq
wisconsin - 1 freq
weekeens - 1 freq
wakans - 1 freq
waukens - 6 freq
waageng - 1 freq
washin's - 2 freq
wycins - 3 freq
wa-gang - 1 freq
wa-ganging - 1 freq
waiknesses - 1 freq
wishin-machines - 1 freq
washington - 4 freq
weaknesses - 1 freq
weygang - 1 freq
wikkeyens - 1 freq
waiknes - 1 freq
waekness - 1 freq
waeknesses - 1 freq
wheezing - 2 freq
waking - 2 freq
wizzen's - 1 freq
wjmmxgowp - 1 freq
waaking - 1 freq
weeknightsaresoboring - 1 freq
waxing - 1 freq
wacking - 2 freq
wsmjxu - 1 freq
weegingerdug - 6 freq
MetaPhone code - WKNS
wagons - 7 freq
weakness - 20 freq
weekens - 1 freq
wickenn's - 1 freq
wik-ens - 1 freq
week-ens - 1 freq
wakkens - 1 freq
waak-ins - 1 freq
weekeens - 1 freq
wakans - 1 freq
waukens - 6 freq
waiknes - 1 freq
waekness - 1 freq
WEAKNESS
Time to execute Levenshtein function - 0.466216 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 - 0.463918 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 - 0.031611 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 - 0.040872 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 - 0.000931 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.