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 nts in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
nts (0) - 1 freq
nets (1) - 46 freq
ats (1) - 126 freq
nes (1) - 1 freq
rts (1) - 1 freq
ngs (1) - 1 freq
ots (1) - 2 freq
'ts (1) - 3 freq
nus (1) - 5 freq
ants (1) - 5 freq
nits (1) - 21 freq
ts (1) - 44 freq
tts (1) - 2 freq
pts (1) - 3 freq
nls (1) - 6 freq
ns (1) - 15 freq
nhs (1) - 38 freq
nbs (1) - 1 freq
ntx (1) - 1 freq
ncs (1) - 2 freq
ents (1) - 1 freq
nms (1) - 2 freq
nuts (1) - 58 freq
hts (1) - 5 freq
nots (1) - 2 freq
nts (0) - 1 freq
ants (1) - 5 freq
ints (1) - 1 freq
nits (1) - 21 freq
nats (1) - 2 freq
nuts (1) - 58 freq
nets (1) - 46 freq
ents (1) - 1 freq
nots (1) - 2 freq
nis (2) - 2 freq
sts (2) - 1 freq
its (2) - 3335 freq
cts (2) - 1 freq
nt (2) - 34 freq
aunts (2) - 10 freq
anits (2) - 2 freq
neets (2) - 1 freq
neyts (2) - 5 freq
notis (2) - 1 freq
units (2) - 21 freq
hts (2) - 5 freq
antsy (2) - 1 freq
notes (2) - 117 freq
notys (2) - 3 freq
ts (2) - 44 freq
SoundEx code - N320
needs - 340 freq
notes - 117 freq
nooadays - 90 freq
notice - 175 freq
nods - 61 freq
nudge - 79 freq
neds - 34 freq
nuts - 58 freq
nidge - 2 freq
nets - 46 freq
newts - 1 freq
noo-a-days - 12 freq
nutties - 1 freq
nooaday's - 1 freq
net's - 15 freq
noat's - 1 freq
noo'adays - 2 freq
neat'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
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 - 117 freq
nooadays - 90 freq
notice - 175 freq
wynds - 23 freq
nods - 61 freq
neds - 34 freq
nuts - 58 freq
nets - 46 freq
newts - 1 freq
noo-a-days - 12 freq
nutties - 1 freq
nooaday's - 1 freq
net's - 15 freq
noat's - 1 freq
knots - 13 freq
knot's - 1 freq
knits - 2 freq
noo'adays - 2 freq
neat's - 1 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
ndz - 1 freq
nowt's - 1 freq
neddies - 2 freq
nodÂ’s - 1 freq
nuttz - 1 freq
NTS
Time to execute Levenshtein function - 0.175141 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 - 0.343256 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 - 0.027940 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 - 0.038184 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 - 0.000949 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.