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 sonsie

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

Similar words to wittans in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
wittans (0) - 2 freq
wittins (1) - 224 freq
wittens (1) - 6 freq
airtans (2) - 3 freq
pittan (2) - 13 freq
fittan (2) - 1 freq
rottans (2) - 7 freq
wittin (2) - 28 freq
waittan (2) - 1 freq
kittens (2) - 7 freq
littlans (2) - 2 freq
sittand (2) - 1 freq
eittand (2) - 1 freq
witten (2) - 1 freq
wittins' (2) - 1 freq
titans (2) - 1 freq
fittins (2) - 1 freq
mittens (2) - 4 freq
sittan (2) - 32 freq
gittan (2) - 30 freq
wuttins (2) - 1 freq
willans (2) - 1 freq
wettan (2) - 4 freq
dittan (2) - 1 freq
vittals (2) - 2 freq
wittans (0) - 2 freq
wittens (1) - 6 freq
wittins (1) - 224 freq
wuttins (2) - 1 freq
mittens (3) - 4 freq
fittins (3) - 1 freq
titans (3) - 1 freq
rattans (3) - 3 freq
wittings (3) - 1 freq
witten (3) - 1 freq
wettan (3) - 4 freq
wittins' (3) - 1 freq
waittan (3) - 1 freq
rottans (3) - 7 freq
kittens (3) - 7 freq
wittin (3) - 28 freq
jottins (4) - 1 freq
rattons (4) - 34 freq
witterins (4) - 1 freq
buttons (4) - 55 freq
wettin (4) - 2 freq
watkins (4) - 12 freq
writins (4) - 9 freq
settins (4) - 10 freq
writeens (4) - 2 freq
SoundEx code - W352
wittins - 224 freq
whitins - 1 freq
witness - 89 freq
wittens - 6 freq
whiteness - 9 freq
witnesst - 1 freq
waiting - 48 freq
wadnesday - 3 freq
waddins - 10 freq
wedding - 19 freq
wednesday - 170 freq
wednesdays - 2 freq
witnessed - 25 freq
w-w-wednesday - 1 freq
wutnessin - 2 freq
wuidness - 2 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 - 224 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
WITTANS
Time to execute Levenshtein function - 0.245088 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 - 0.387398 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 - 0.030738 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 - 0.037209 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.