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 uising in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
uising (0) - 2 freq
uisin' (1) - 1 freq
rising (1) - 14 freq
uisin (1) - 105 freq
using (1) - 35 freq
casing (2) - 1 freq
liking (2) - 20 freq
kissing (2) - 2 freq
wishing (2) - 7 freq
risking (2) - 3 freq
uisein (2) - 9 freq
airing (2) - 1 freq
pining (2) - 1 freq
risins (2) - 2 freq
suiting (2) - 1 freq
biding (2) - 9 freq
aisin (2) - 1 freq
piping (2) - 5 freq
hosing (2) - 1 freq
usin (2) - 97 freq
living (2) - 49 freq
eisin (2) - 1 freq
raising (2) - 7 freq
listing (2) - 4 freq
mining (2) - 5 freq
uising (0) - 2 freq
using (1) - 35 freq
sing (2) - 350 freq
yasing (2) - 2 freq
yaising (2) - 1 freq
uisin (2) - 105 freq
rising (2) - 14 freq
uisin' (2) - 1 freq
musing (3) - 1 freq
unsung (3) - 2 freq
usin' (3) - 1 freq
aisling (3) - 1 freq
desing (3) - 2 freq
losing (3) - 14 freq
aisins (3) - 1 freq
asang (3) - 1 freq
sang (3) - 623 freq
sung (3) - 68 freq
saying (3) - 109 freq
song (3) - 144 freq
icing (3) - 8 freq
singe (3) - 3 freq
eisins (3) - 1 freq
seeing (3) - 60 freq
hosing (3) - 1 freq
SoundEx code - U252
using - 35 freq
uising - 2 freq
uwjenc - 1 freq
uknyc - 1 freq
ukchange - 2 freq
uqngch - 1 freq
ugnz - 1 freq
ucknqo - 1 freq
usmoocqvlc - 1 freq
ukcongress - 1 freq
MetaPhone code - USNK
using - 35 freq
uising - 2 freq
UISING
Time to execute Levenshtein function - 0.602756 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 - 1.094948 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 - 0.086457 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 - 0.099757 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 - 0.000892 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.