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 ablow

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

Similar words to weddins in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
weddins (0) - 3 freq
weddin (1) - 40 freq
waddins (1) - 10 freq
weddings (1) - 2 freq
wedding (1) - 19 freq
widdins (1) - 1 freq
weddin' (1) - 2 freq
reddins (1) - 1 freq
biddins (2) - 12 freq
leddies (2) - 12 freq
mendins (2) - 1 freq
eddies (2) - 1 freq
teddies (2) - 2 freq
weemins (2) - 2 freq
weelins (2) - 1 freq
waddin's (2) - 1 freq
wudbins (2) - 1 freq
weddung (2) - 2 freq
bedding (2) - 1 freq
heidins (2) - 1 freq
deddin (2) - 1 freq
readins (2) - 15 freq
endins (2) - 13 freq
reddies (2) - 13 freq
redding (2) - 1 freq
weddins (0) - 3 freq
widdins (1) - 1 freq
waddins (1) - 10 freq
reddins (2) - 1 freq
weddin' (2) - 2 freq
wedding (2) - 19 freq
weddings (2) - 2 freq
weddin (2) - 40 freq
weddung (3) - 2 freq
wudbins (3) - 1 freq
wirdins (3) - 1 freq
widdirs (3) - 1 freq
waddin's (3) - 1 freq
widdies (3) - 14 freq
wadding (3) - 1 freq
widdin (3) - 4 freq
puddins (3) - 13 freq
wuidins (3) - 1 freq
biddins (3) - 12 freq
waddin (3) - 96 freq
widden (4) - 134 freq
biddens (4) - 1 freq
wuiddin (4) - 1 freq
faeddans (4) - 1 freq
weeyins (4) - 22 freq
SoundEx code - W352
wittins - 228 freq
whitins - 1 freq
witness - 89 freq
wittens - 6 freq
whiteness - 9 freq
witnesst - 1 freq
waiting - 49 freq
wadnesday - 3 freq
waddins - 10 freq
wedding - 19 freq
wednesday - 170 freq
wednesdays - 2 freq
witnessed - 28 freq
w-w-wednesday - 1 freq
wutnessin - 2 freq
wuidness - 2 freq
whiting - 1 freq
wutness - 10 freq
witnessmen - 1 freq
witnessin - 2 freq
widnesday - 3 freq
witnesses - 11 freq
weddins - 3 freq
wutnesses - 3 freq
wutnesst - 1 freq
waddin's - 1 freq
weddeen's - 1 freq
wittins-kists - 1 freq
wittans - 2 freq
waitin-game - 1 freq
weddings - 2 freq
whitemaas - 1 freq
wadding - 1 freq
wedding-finger - 1 freq
widdins - 1 freq
weddung - 2 freq
'wedding' - 2 freq
wuidins - 1 freq
wuidin's - 1 freq
weetness - 1 freq
wuttins - 1 freq
whittinghame - 2 freq
wednesay - 2 freq
wednesady - 1 freq
weitnessin - 1 freq
weitnes - 2 freq
wutnes - 1 freq
weedin's - 1 freq
wedensday - 2 freq
wadensday - 4 freq
wittings - 1 freq
wittins' - 1 freq
wading - 1 freq
weeding - 1 freq
woodwinecoolers - 7 freq
wtnj - 1 freq
wtmqr - 1 freq
MetaPhone code - WTNS
wittins - 228 freq
whitins - 1 freq
witness - 89 freq
wittens - 6 freq
whiteness - 9 freq
waddins - 10 freq
wuidness - 2 freq
wutness - 10 freq
weddins - 3 freq
waddin's - 1 freq
weddeen's - 1 freq
wittans - 2 freq
widdins - 1 freq
wuidins - 1 freq
wuidin's - 1 freq
weetness - 1 freq
wuttins - 1 freq
wednesay - 2 freq
weitnes - 2 freq
wutnes - 1 freq
weedin's - 1 freq
wittins' - 1 freq
WEDDINS
Time to execute Levenshtein function - 0.224182 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 - 0.428152 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 - 0.028380 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 - 0.047425 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 - 0.004309 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.