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 wints in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
wints (0) - 49 freq
wins (1) - 78 freq
wines (1) - 8 freq
wint (1) - 629 freq
winos (1) - 2 freq
tints (1) - 3 freq
wits (1) - 36 freq
jints (1) - 3 freq
wants (1) - 295 freq
pints (1) - 80 freq
wings (1) - 131 freq
hints (1) - 9 freq
winks (1) - 14 freq
mints (1) - 41 freq
ints (1) - 1 freq
wilts (1) - 1 freq
wint's (1) - 1 freq
win's (1) - 8 freq
wunts (1) - 1 freq
winds (1) - 61 freq
dints (1) - 2 freq
i'ts (2) - 2 freq
wrists (2) - 10 freq
winny (2) - 7 freq
wit' (2) - 2 freq
wints (0) - 49 freq
wants (1) - 295 freq
wunts (1) - 1 freq
wilts (2) - 1 freq
ints (2) - 1 freq
mints (2) - 41 freq
waants (2) - 30 freq
wint's (2) - 1 freq
winds (2) - 61 freq
winks (2) - 14 freq
win's (2) - 8 freq
waunts (2) - 1 freq
dints (2) - 2 freq
winos (2) - 2 freq
wins (2) - 78 freq
hints (2) - 9 freq
wines (2) - 8 freq
tints (2) - 3 freq
wint (2) - 629 freq
pints (2) - 80 freq
wings (2) - 131 freq
wits (2) - 36 freq
jints (2) - 3 freq
walts (3) - 1 freq
winsy (3) - 1 freq
SoundEx code - W532
wands - 7 freq
windaes - 158 freq
wants - 295 freq
winds - 61 freq
wynds - 23 freq
wunds - 20 freq
wounds - 32 freq
windscreen - 4 freq
windae's - 5 freq
wunts - 1 freq
wints - 49 freq
waants - 30 freq
windae-sills - 2 freq
windsor - 8 freq
windis - 2 freq
wund's - 5 freq
wendy's - 3 freq
windze - 1 freq
windaesill - 3 freq
windas - 4 freq
wundas - 1 freq
wundaes - 9 freq
windows - 26 freq
window-shoppeen - 1 freq
windswept - 1 freq
wind's - 3 freq
windae-seat - 1 freq
windae-sill - 2 freq
waands - 1 freq
windwick - 1 freq
wind-kamed - 1 freq
wanwit's - 1 freq
windaes' - 4 freq
wynd's - 1 freq
wind-scoured - 1 freq
wind-skelpit - 1 freq
windes - 1 freq
weanhoods - 1 freq
wee-windaes - 2 freq
windae-shoppin - 1 freq
wind-skordet - 1 freq
windae-sole - 3 freq
winnyheids - 1 freq
windass - 1 freq
windies - 2 freq
€˜wants - 1 freq
wind-chynge - 1 freq
windoes - 1 freq
windeez - 1 freq
'windaes' - 1 freq
windsurfin - 1 freq
windaesole - 1 freq
windsday - 3 freq
windowsill - 1 freq
wint's - 1 freq
windÂ’s - 1 freq
waunts - 1 freq
windeas - 1 freq
MetaPhone code - WNTS
wands - 7 freq
windaes - 158 freq
wants - 295 freq
winds - 61 freq
wunds - 20 freq
wounds - 32 freq
windae's - 5 freq
wunts - 1 freq
wints - 49 freq
waants - 30 freq
windis - 2 freq
wund's - 5 freq
wendy's - 3 freq
windze - 1 freq
windas - 4 freq
wundas - 1 freq
wundaes - 9 freq
windows - 26 freq
wind's - 3 freq
waands - 1 freq
windaes' - 4 freq
windes - 1 freq
windass - 1 freq
windies - 2 freq
€˜wants - 1 freq
windoes - 1 freq
windeez - 1 freq
'windaes' - 1 freq
wint's - 1 freq
windÂ’s - 1 freq
waunts - 1 freq
windeas - 1 freq
WINTS
Time to execute Levenshtein function - 0.182294 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 - 0.346471 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 - 0.027704 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 - 0.037324 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 - 0.000895 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.