A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ahint

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Similar words to jotter in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
jotter (0) - 31 freq
otter (1) - 3 freq
totter (1) - 2 freq
potter (1) - 29 freq
sotter (1) - 34 freq
cotter (1) - 3 freq
jotters (1) - 23 freq
hotter (1) - 8 freq
gutter (2) - 33 freq
wetter (2) - 4 freq
totier (2) - 1 freq
bottem (2) - 1 freq
litter (2) - 16 freq
tottier (2) - 2 freq
router (2) - 1 freq
dooter (2) - 3 freq
witter (2) - 10 freq
pooter (2) - 1 freq
jolted (2) - 5 freq
joaker (2) - 1 freq
hottert (2) - 1 freq
loiter (2) - 1 freq
lottery (2) - 29 freq
fother (2) - 4 freq
pitter (2) - 2 freq
jotter (0) - 31 freq
hotter (2) - 8 freq
otter (2) - 3 freq
jittery (2) - 3 freq
cotter (2) - 3 freq
jotters (2) - 23 freq
totter (2) - 2 freq
potter (2) - 29 freq
sotter (2) - 34 freq
sitter (3) - 1 freq
jester (3) - 4 freq
fitter (3) - 5 freq
cutter (3) - 5 freq
tooter (3) - 4 freq
letter (3) - 240 freq
jottit (3) - 1 freq
cottar (3) - 28 freq
hoatter (3) - 1 freq
watter (3) - 1033 freq
mutter (3) - 10 freq
jitters (3) - 1 freq
atter (3) - 1 freq
dottir (3) - 1 freq
patter (3) - 56 freq
putter (3) - 1 freq
SoundEx code - J360
jotter - 31 freq
jittery - 3 freq
jooder - 1 freq
jethro - 2 freq
jater - 1 freq
joeedwyer - 1 freq
MetaPhone code - JTR
jotter - 31 freq
jittery - 3 freq
jooder - 1 freq
gied-owre - 1 freq
gitter - 1 freq
jater - 1 freq
JOTTER
Time to execute Levenshtein function - 0.211240 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 - 0.359979 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 - 0.029744 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 - 0.039118 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 - 0.000928 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.