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 wndwne in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
wndwne (0) - 1 freq
undone (2) - 4 freq
endin' (3) - 1 freq
fndge (3) - 1 freq
andrae (3) - 7 freq
windie (3) - 4 freq
€˜done (3) - 1 freq
wine (3) - 272 freq
wuddie (3) - 1 freq
windle (3) - 1 freq
waddle (3) - 1 freq
widdie (3) - 20 freq
wode (3) - 4 freq
widbine (3) - 1 freq
none (3) - 57 freq
widn (3) - 4 freq
wyndin (3) - 2 freq
indiane (3) - 1 freq
endite (3) - 1 freq
nuwe (3) - 1 freq
widna (3) - 443 freq
endins (3) - 13 freq
wondenn (3) - 1 freq
whane (3) - 3 freq
windee (3) - 3 freq
wndwne (0) - 1 freq
wondenn (4) - 1 freq
undone (4) - 4 freq
wyndin (4) - 2 freq
windin (4) - 28 freq
widny (5) - 4 freq
wundae (5) - 14 freq
known (5) - 67 freq
ndna (5) - 8 freq
undon (5) - 1 freq
wudna (5) - 9 freq
dwine (5) - 19 freq
widno (5) - 1 freq
wudni (5) - 4 freq
wundie (5) - 1 freq
wudnae (5) - 101 freq
windolene (5) - 2 freq
endin (5) - 43 freq
winding (5) - 2 freq
wadnae (5) - 60 freq
wan-wye (5) - 1 freq
wodw (5) - 1 freq
wid'nae (5) - 1 freq
condone (5) - 1 freq
widni (5) - 3 freq
SoundEx code - W535
wantin - 326 freq
wanting - 19 freq
wind-moan - 1 freq
wonuddnuae - 1 freq
windin - 28 freq
wintin - 52 freq
waantin - 38 freq
windmill - 2 freq
woundin - 1 freq
windin-sheets - 1 freq
wantin' - 7 freq
wanton - 2 freq
want'nae - 1 freq
want'n - 2 freq
winding - 2 freq
wondenn - 1 freq
wyntown - 1 freq
wndwne - 1 freq
wyntoun's - 1 freq
wantan - 4 freq
windmills - 2 freq
waantan - 14 freq
wan-time - 1 freq
wyndin - 2 freq
wuntin - 9 freq
wuntin't - 1 freq
wynton - 1 freq
wyntoun - 1 freq
wintoun - 5 freq
wahntin - 1 freq
wanten - 1 freq
windinÂ’ - 1 freq
wunting - 1 freq
wmtim - 1 freq
wyndhamsusan - 1 freq
wintonbrewery - 9 freq
wauntin - 2 freq
MetaPhone code - NTN
knittin - 26 freq
notin - 6 freq
needin - 213 freq
neednae - 21 freq
needna - 44 freq
nuttin - 49 freq
noddin - 39 freq
nahddan - 1 freq
needan - 14 freq
knittan - 3 freq
netten - 1 freq
knittin' - 8 freq
needin' - 7 freq
need'n - 3 freq
nut'n - 1 freq
noaddin - 5 freq
newton - 19 freq
newtown - 15 freq
nettin - 6 freq
wyntown - 1 freq
wndwne - 1 freq
notten - 1 freq
knitteen - 5 freq
noddan - 1 freq
kneedin - 1 freq
ndna - 8 freq
wyndin - 2 freq
ndaoine - 1 freq
nottna - 1 freq
knottin - 1 freq
wynton - 1 freq
wyntoun - 1 freq
€™nittin - 1 freq
nedin - 1 freq
nittin - 3 freq
€˜nuttin - 1 freq
nottin - 2 freq
kneadin - 1 freq
nitten - 5 freq
needinÂ’ - 1 freq
needen - 3 freq
WNDWNE
Time to execute Levenshtein function - 0.217275 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 - 0.366437 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 - 0.031937 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 - 0.039289 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 - 0.001078 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.