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 unner in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
unner (0) - 454 freq
dunner (1) - 6 freq
funner (1) - 1 freq
runner (1) - 19 freq
unter (1) - 1 freq
unser (1) - 3 freq
inner (1) - 44 freq
onner (1) - 3 freq
hunner (1) - 434 freq
unnerx (1) - 1 freq
under (1) - 429 freq
unnser (1) - 8 freq
unker (1) - 4 freq
gunner (1) - 2 freq
unnder (1) - 1 freq
wunner (1) - 281 freq
uner (1) - 2 freq
neer (2) - 51 freq
duncer (2) - 6 freq
ueber (2) - 1 freq
undr (2) - 1 freq
liner (2) - 4 freq
dunder (2) - 5 freq
hunnert (2) - 14 freq
ungert (2) - 1 freq
unner (0) - 454 freq
onner (1) - 3 freq
inner (1) - 44 freq
unnder (2) - 1 freq
unker (2) - 4 freq
gunner (2) - 2 freq
wunner (2) - 281 freq
yonner (2) - 67 freq
aonner (2) - 1 freq
onnir (2) - 1 freq
unnser (2) - 8 freq
uner (2) - 2 freq
runner (2) - 19 freq
under (2) - 429 freq
dunner (2) - 6 freq
unter (2) - 1 freq
funner (2) - 1 freq
hunner (2) - 434 freq
unser (2) - 3 freq
unnerx (2) - 1 freq
sinner (3) - 10 freq
cinner (3) - 1 freq
aner (3) - 2 freq
enter (3) - 70 freq
siner (3) - 1 freq
SoundEx code - U560
unner - 454 freq
unaware - 6 freq
unnér - 5 freq
unnèr - 27 freq
unweir - 1 freq
unnerwye - 1 freq
unawaar - 3 freq
uimor - 1 freq
unnerway - 1 freq
uimour - 3 freq
uner - 2 freq
umour - 1 freq
unnerwey - 1 freq
€˜unner - 1 freq
un-hear - 1 freq
MetaPhone code - UNR
unner - 454 freq
unnér - 5 freq
unnèr - 27 freq
uner - 2 freq
€˜unner - 1 freq
UNNER
under - 429 freq
unner - 454 freq
unders - freq
Time to execute Levenshtein function - 0.182993 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 - 0.323631 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 - 0.027292 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 - 0.037008 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 - 0.000974 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.