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 unnér in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
unnér (0) - 5 freq
hunnér (1) - 3 freq
wunnér (1) - 2 freq
unnèr (1) - 27 freq
unnder (2) - 1 freq
wunnèr (2) - 1 freq
hunnérs (2) - 2 freq
wunnérs (2) - 1 freq
dannér (2) - 1 freq
unner (2) - 461 freq
plunnér (2) - 1 freq
wuntér (2) - 1 freq
unnser (2) - 8 freq
hunnèr (2) - 24 freq
flér (3) - 1 freq
onner (3) - 3 freq
under (3) - 447 freq
wannért (3) - 1 freq
onié (3) - 1 freq
dunner (3) - 6 freq
unnerx (3) - 1 freq
ulstér (3) - 2 freq
wunnèrt (3) - 2 freq
cunnar (3) - 1 freq
eftér (3) - 16 freq
unnér (0) - 5 freq
hunnér (2) - 3 freq
unnèr (2) - 27 freq
wunnér (2) - 2 freq
dannér (3) - 1 freq
wuntér (4) - 1 freq
plunnér (4) - 1 freq
hunnèr (4) - 24 freq
niné (4) - 1 freq
unnser (4) - 8 freq
unner (4) - 461 freq
wunnèr (4) - 1 freq
hunnérs (4) - 2 freq
unnder (4) - 1 freq
wunnérs (4) - 1 freq
ném (5) - 1 freq
hinnèr (5) - 1 freq
wunnérin (5) - 1 freq
onnher (5) - 1 freq
ciné (5) - 2 freq
onnir (5) - 1 freq
né (5) - 2 freq
inner (5) - 46 freq
naé (5) - 1 freq
dennèr (5) - 4 freq
SoundEx code - U560
unner - 461 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 - 461 freq
unnér - 5 freq
unnèr - 27 freq
uner - 2 freq
€˜unner - 1 freq
UNNÉR
Time to execute Levenshtein function - 0.180773 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 - 0.333049 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 - 0.028429 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 - 0.043999 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 - 0.000920 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.