A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to nathan in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
nathan (0) - 4 freq
nethan (1) - 3 freq
nathin (1) - 6 freq
natral (2) - 6 freq
kathak (2) - 1 freq
watchan (2) - 20 freq
neathin (2) - 1 freq
athin (2) - 226 freq
nathing (2) - 1 freq
nearhan (2) - 28 freq
naan (2) - 2 freq
hatchan (2) - 1 freq
nuthin (2) - 65 freq
ethan (2) - 1 freq
naggan (2) - 2 freq
naythen (2) - 2 freq
na'hin (2) - 2 freq
natal (2) - 2 freq
nauthin (2) - 2 freq
matthan (2) - 4 freq
nation (2) - 143 freq
washan (2) - 3 freq
than (2) - 1 freq
naarhan (2) - 17 freq
gathin (2) - 2 freq
nathan (0) - 4 freq
nethan (1) - 3 freq
nathin (1) - 6 freq
nauthin (2) - 2 freq
nithin (2) - 71 freq
nothen (2) - 1 freq
naethin (2) - 787 freq
naithin (2) - 3 freq
nothin (2) - 174 freq
nuthin (2) - 65 freq
naithen (2) - 1 freq
naythen (2) - 2 freq
neathin (2) - 1 freq
onethin (3) - 2 freq
bathin (3) - 11 freq
nacthin (3) - 2 freq
onythin (3) - 498 freq
nutheen (3) - 9 freq
naetheen (3) - 3 freq
kithan (3) - 1 freq
ythan (3) - 6 freq
bethan (3) - 1 freq
anythin (3) - 138 freq
than (3) - 2715 freq
naeithin (3) - 1 freq
SoundEx code - N350
nuthin - 65 freq
naethin - 787 freq
notion - 223 freq
notin - 6 freq
needin - 211 freq
neednae - 21 freq
naithin - 3 freq
needna - 44 freq
nuttin - 49 freq
noddin - 38 freq
nation - 143 freq
nothin - 174 freq
'nothin - 4 freq
nothin' - 5 freq
nithin - 71 freq
nahddan - 1 freq
notheen - 41 freq
needan - 14 freq
neythein - 1 freq
neithen - 3 freq
neythen - 1 freq
naythen - 2 freq
neythin - 1 freq
netten - 1 freq
neithin - 3 freq
naithen - 1 freq
nuthin' - 3 freq
needin' - 7 freq
notion' - 1 freq
noaddin - 5 freq
'naethin - 10 freq
newton - 19 freq
noodimnae - 1 freq
newtown - 15 freq
nathan - 4 freq
nettin - 6 freq
naethïn - 1 freq
naethin' - 4 freq
'nuthin - 1 freq
notten - 1 freq
nation' - 2 freq
nutheen - 9 freq
naitioun - 7 freq
noddan - 1 freq
naetheen - 3 freq
næthin - 3 freq
nothen - 1 freq
ndna - 8 freq
ndaoine - 1 freq
nottna - 1 freq
nathin - 6 freq
neathin - 1 freq
naethin - 3 freq
nauthin - 2 freq
natioun - 5 freq
nittin - 1 freq
nedin - 1 freq
naetime - 1 freq
nittin - 3 freq
naeithin - 1 freq
nitheen - 1 freq
nuttin - 1 freq
Ïndyan - 1 freq
nottin - 2 freq
naethin - 2 freq
naition - 1 freq
nethan - 3 freq
nitten - 5 freq
nithin' - 11 freq
needin’ - 1 freq
‘nation’ - 1 freq
needen - 3 freq
MetaPhone code - N0N
nuthin - 65 freq
naethin - 787 freq
naithin - 3 freq
nothin - 174 freq
'nothin - 4 freq
nothin' - 5 freq
nithin - 71 freq
notheen - 41 freq
neythein - 1 freq
neithen - 3 freq
neythen - 1 freq
naythen - 2 freq
neythin - 1 freq
neithin - 3 freq
naithen - 1 freq
nuthin' - 3 freq
'naethin - 10 freq
nathan - 4 freq
naethïn - 1 freq
naethin' - 4 freq
'nuthin - 1 freq
nutheen - 9 freq
naetheen - 3 freq
næthin - 3 freq
nothen - 1 freq
nathin - 6 freq
neathin - 1 freq
naethin - 3 freq
nauthin - 2 freq
naeithin - 1 freq
nitheen - 1 freq
naethin - 2 freq
nethan - 3 freq
nithin' - 11 freq
NATHAN
Time to execute Levenshtein function - 0.232284 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 - 0.431386 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 - 0.031012 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 - 0.040435 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 - 0.000984 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.