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 gowpit in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
gowpit (0) - 10 freq
gawpit (1) - 10 freq
gowlit (1) - 1 freq
dowpit (1) - 26 freq
gowpt (1) - 1 freq
cowpit (1) - 35 freq
gowkit (1) - 6 freq
lowpit (1) - 72 freq
gowpin (1) - 30 freq
howpit (1) - 19 freq
gowrie (2) - 1 freq
loupit (2) - 30 freq
moppit (2) - 2 freq
gobbit (2) - 1 freq
gawpt (2) - 1 freq
coppit (2) - 3 freq
lowpin (2) - 91 freq
toppit (2) - 1 freq
gulpit (2) - 3 freq
howpt (2) - 1 freq
powtit (2) - 2 freq
gropit (2) - 1 freq
soopit (2) - 3 freq
hoppit (2) - 2 freq
gowkin (2) - 2 freq
gowpit (0) - 10 freq
gawpit (1) - 10 freq
gowpt (1) - 1 freq
howpit (2) - 19 freq
gawpt (2) - 1 freq
lowpit (2) - 72 freq
gowpin (2) - 30 freq
gowlit (2) - 1 freq
gowkit (2) - 6 freq
cowpit (2) - 35 freq
dowpit (2) - 26 freq
gowps (3) - 3 freq
gawkit (3) - 9 freq
gaspit (3) - 5 freq
lowpity (3) - 16 freq
gawpin (3) - 33 freq
gypit (3) - 20 freq
cowpat (3) - 1 freq
dawpit (3) - 1 freq
gowlt (3) - 19 freq
gowp (3) - 65 freq
cowpt (3) - 21 freq
gowpen (3) - 4 freq
gowped (3) - 5 freq
gropit (3) - 1 freq
SoundEx code - G130
gawped - 32 freq
gift - 116 freq
goaved - 7 freq
gawpit - 10 freq
gowped - 5 freq
gowpit - 10 freq
gowpt - 1 freq
gawpt - 1 freq
gypit - 20 freq
giveth - 2 freq
gyped - 1 freq
gobbit - 1 freq
gibbet - 5 freq
gauped - 2 freq
gubbed - 10 freq
geppetto - 1 freq
giftie - 8 freq
guffawed - 2 freq
gïft - 1 freq
gobbed - 3 freq
gupta - 1 freq
guffed - 4 freq
gooped - 1 freq
gaffed - 13 freq
goved - 2 freq
gaeped - 1 freq
gabbit - 3 freq
gibt - 3 freq
govit - 1 freq
gavotte - 1 freq
gaped - 3 freq
€œgift - 1 freq
gapit - 1 freq
giepit - 5 freq
govt - 7 freq
gbuta - 1 freq
gypehied - 1 freq
gvht - 1 freq
MetaPhone code - KPT
kept - 504 freq
gawped - 32 freq
cowpit - 35 freq
cowpt - 21 freq
coupt - 3 freq
copied - 13 freq
cowped - 48 freq
keppit - 17 freq
cupped - 9 freq
gawpit - 10 freq
cooped - 7 freq
keepit - 151 freq
gowped - 5 freq
gowpit - 10 freq
caped - 2 freq
gowpt - 1 freq
gawpt - 1 freq
quipped - 1 freq
kaipt - 1 freq
cupid - 3 freq
coupit - 16 freq
couped - 9 freq
keipit - 4 freq
gauped - 2 freq
keypt - 1 freq
kepta - 1 freq
keppet - 1 freq
keepet - 1 freq
coppit - 3 freq
capita - 1 freq
coopit - 3 freq
gupta - 1 freq
keeped - 1 freq
gooped - 1 freq
kepit - 3 freq
keepid - 3 freq
cuppid - 1 freq
cop-oot - 1 freq
gaeped - 1 freq
cuppit - 3 freq
cappit - 3 freq
cpd - 3 freq
kaput - 1 freq
gaped - 3 freq
keipet - 1 freq
€¦kept - 1 freq
gapit - 1 freq
coped - 2 freq
kopite - 2 freq
cowpat - 1 freq
kpt - 1 freq
cpt - 1 freq
GOWPIT
Time to execute Levenshtein function - 0.313036 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 - 0.783465 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 - 0.090990 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 - 0.097493 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 - 0.000843 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.