A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to nods in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
nods (0) - 55 freq
gods (1) - 73 freq
rods (1) - 26 freq
mods (1) - 3 freq
noks (1) - 1 freq
nops (1) - 1 freq
dods (1) - 8 freq
noas (1) - 2 freq
sods (1) - 10 freq
pods (1) - 7 freq
nod (1) - 107 freq
nous (1) - 9 freq
lods (1) - 1 freq
tods (1) - 48 freq
neds (1) - 32 freq
noos (1) - 8 freq
node (1) - 4 freq
cods (1) - 2 freq
nows (1) - 1 freq
nobs (1) - 3 freq
nots (1) - 2 freq
noads (1) - 1 freq
nads (1) - 1 freq
goes (2) - 319 freq
foes (2) - 10 freq
nods (0) - 55 freq
noads (1) - 1 freq
nads (1) - 1 freq
neds (1) - 32 freq
node (2) - 4 freq
cods (2) - 2 freq
noos (2) - 8 freq
nows (2) - 1 freq
nots (2) - 2 freq
nedes (2) - 2 freq
ends (2) - 95 freq
tods (2) - 48 freq
nobs (2) - 3 freq
needs (2) - 340 freq
gods (2) - 73 freq
noks (2) - 1 freq
mods (2) - 3 freq
rods (2) - 26 freq
lods (2) - 1 freq
dods (2) - 8 freq
nops (2) - 1 freq
pods (2) - 7 freq
sods (2) - 10 freq
nous (2) - 9 freq
nod (2) - 107 freq
SoundEx code - N320
needs - 340 freq
notes - 113 freq
nooadays - 90 freq
notice - 172 freq
nods - 55 freq
nudge - 79 freq
neds - 32 freq
nuts - 55 freq
nidge - 2 freq
nets - 46 freq
newts - 1 freq
noo-a-days - 11 freq
nutties - 1 freq
nooaday's - 1 freq
net's - 15 freq
noat's - 1 freq
notch - 6 freq
nowadays - 22 freq
noads - 1 freq
nits - 21 freq
noo-adays - 2 freq
noties - 2 freq
nouadays - 44 freq
noudays - 1 freq
nots - 2 freq
nooadaes - 1 freq
neyts - 5 freq
notysh - 4 freq
notys - 3 freq
needs' - 1 freq
neds' - 1 freq
'needs - 1 freq
natasha - 3 freq
notish - 2 freq
'notice - 1 freq
notts - 20 freq
nedes - 2 freq
notiece - 2 freq
nat's - 1 freq
nooadæs - 1 freq
noteece - 1 freq
nottice - 4 freq
neets - 1 freq
noodays - 4 freq
noo-a-deys - 3 freq
notis - 1 freq
note's - 1 freq
naethig - 1 freq
nit's - 1 freq
nadja - 1 freq
€˜needs - 1 freq
needgio - 1 freq
nou-a-days - 1 freq
nats - 2 freq
nts - 1 freq
nads - 1 freq
needwhiskey - 1 freq
noo'adays - 1 freq
natch - 2 freq
ndz - 1 freq
nowt's - 1 freq
neddies - 2 freq
nodÂ’s - 1 freq
nuttz - 1 freq
nwatch - 1 freq
ndog - 1 freq
ntx - 1 freq
MetaPhone code - NTS
needs - 340 freq
notes - 113 freq
nooadays - 90 freq
notice - 172 freq
wynds - 23 freq
nods - 55 freq
neds - 32 freq
nuts - 55 freq
nets - 46 freq
newts - 1 freq
noo-a-days - 11 freq
nutties - 1 freq
nooaday's - 1 freq
net's - 15 freq
noat's - 1 freq
knots - 12 freq
knot's - 1 freq
knits - 3 freq
noads - 1 freq
nits - 21 freq
noo-adays - 2 freq
noties - 2 freq
nouadays - 44 freq
noudays - 1 freq
nots - 2 freq
nooadaes - 1 freq
neyts - 5 freq
notys - 3 freq
needs' - 1 freq
neds' - 1 freq
'needs - 1 freq
'notice - 1 freq
notts - 20 freq
nedes - 2 freq
notiece - 2 freq
nat's - 1 freq
nooadæs - 1 freq
noteece - 1 freq
wynd's - 1 freq
nottice - 4 freq
neets - 1 freq
noodays - 4 freq
noo-a-deys - 3 freq
notis - 1 freq
note's - 1 freq
nit's - 1 freq
€˜needs - 1 freq
knuts - 1 freq
gnat's - 1 freq
nou-a-days - 1 freq
nats - 2 freq
nts - 1 freq
nads - 1 freq
noo'adays - 1 freq
ndz - 1 freq
nowt's - 1 freq
neddies - 2 freq
nodÂ’s - 1 freq
nuttz - 1 freq
NODS
Time to execute Levenshtein function - 0.187293 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 - 0.335674 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 - 0.028665 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 - 0.038698 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 - 0.000860 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.