A Corpus of 21st Century Scots Texts

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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 kissed in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
kissed (0) - 66 freq
hissed (1) - 45 freq
kisser (1) - 5 freq
wissed (1) - 13 freq
missed (1) - 192 freq
kisted (1) - 1 freq
gissed (1) - 1 freq
pissed (1) - 31 freq
uissed (1) - 4 freq
kisses (1) - 29 freq
bussed (2) - 2 freq
birsed (2) - 5 freq
gessed (2) - 1 freq
wissel (2) - 1 freq
aised (2) - 6 freq
fessed (2) - 5 freq
vissied (2) - 2 freq
pissd (2) - 1 freq
passed (2) - 304 freq
kiss' (2) - 1 freq
misled (2) - 3 freq
issel (2) - 1 freq
wished (2) - 61 freq
yised (2) - 4 freq
uised (2) - 277 freq
kissed (0) - 66 freq
gissed (2) - 1 freq
pissed (2) - 31 freq
uissed (2) - 4 freq
kisted (2) - 1 freq
kisses (2) - 29 freq
hissed (2) - 45 freq
missed (2) - 192 freq
kisser (2) - 5 freq
wissed (2) - 13 freq
dossed (3) - 1 freq
issued (3) - 6 freq
misused (3) - 1 freq
kyisses (3) - 1 freq
assed (3) - 1 freq
pussed (3) - 4 freq
nassed (3) - 1 freq
kissin (3) - 23 freq
kissie (3) - 1 freq
massed (3) - 2 freq
kissies (3) - 1 freq
tossed (3) - 20 freq
fussed (3) - 13 freq
kiss (3) - 120 freq
wussed (3) - 4 freq
SoundEx code - K230
keeked - 92 freq
kissed - 66 freq
kist - 116 freq
keekit - 46 freq
'kist - 1 freq
kistie - 14 freq
kicked - 61 freq
kisst - 6 freq
keekt - 12 freq
kest - 18 freq
keiked - 1 freq
keest - 3 freq
keeched - 4 freq
keistie - 1 freq
kickit - 19 freq
kickt - 3 freq
keek'd - 1 freq
kist' - 5 freq
kist'' - 1 freq
kost - 1 freq
keikit - 9 freq
kyist - 1 freq
kjist - 1 freq
€˜kist - 1 freq
€œkist - 2 freq
kikkit - 1 freq
keukit - 1 freq
kis't - 1 freq
keechÂ’d - 1 freq
keekat - 3 freq
MetaPhone code - KST
kissed - 66 freq
kist - 116 freq
cast - 226 freq
'kist - 1 freq
kistie - 14 freq
coast - 115 freq
caused - 78 freq
guessed - 31 freq
kisst - 6 freq
gast - 5 freq
cost - 113 freq
gust - 17 freq
cuist - 14 freq
gazed - 15 freq
gowstie - 6 freq
guest - 42 freq
gazette - 3 freq
kest - 18 freq
cassidy - 4 freq
keest - 3 freq
cassette - 3 freq
costa - 7 freq
quest - 18 freq
goustie - 4 freq
'goustie - 1 freq
caist - 4 freq
guisit - 1 freq
causit - 3 freq
gceid - 1 freq
gassed - 3 freq
gcid - 4 freq
goast - 1 freq
casset - 2 freq
gowsty - 5 freq
'c'est - 1 freq
caste - 2 freq
cassat - 1 freq
'cost - 1 freq
keistie - 1 freq
caased - 6 freq
guesst - 5 freq
csd - 11 freq
quayside - 3 freq
kïsst - 2 freq
kïst - 1 freq
cosset - 1 freq
gusto - 6 freq
cöst - 3 freq
c'est - 1 freq
kist' - 5 freq
coist - 4 freq
cüst - 2 freq
gaist - 2 freq
kist'' - 1 freq
kost - 1 freq
costo - 1 freq
coost - 1 freq
cosst - 1 freq
gussied - 1 freq
gustie - 3 freq
coasta - 1 freq
€˜kist - 1 freq
€œkist - 2 freq
gusset - 1 freq
cousteau - 1 freq
€˜kssst - 1 freq
gusd - 1 freq
goest - 1 freq
coste - 1 freq
kis't - 1 freq
quizzed - 1 freq
costie - 1 freq
qzd - 1 freq
qzitw - 1 freq
'cast' - 1 freq
qzt - 1 freq
gzet - 1 freq
kstew - 1 freq
yxd - 1 freq
KISSED
Time to execute Levenshtein function - 0.316224 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 - 0.656392 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 - 0.030271 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 - 0.071171 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 - 0.000849 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.