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 uighurs in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
uighurs (0) - 20 freq
uighers (1) - 1 freq
uighur (1) - 34 freq
highers (2) - 12 freq
figgurs (2) - 1 freq
figurs (2) - 7 freq
vigurs (2) - 1 freq
fingurs (3) - 6 freq
figure (3) - 104 freq
rights (3) - 32 freq
eithers (3) - 1 freq
nighbers (3) - 11 freq
higher (3) - 76 freq
highs (3) - 1 freq
aithers (3) - 7 freq
tighes (3) - 1 freq
fighters (3) - 4 freq
tights (3) - 15 freq
fights (3) - 3 freq
whurs (3) - 1 freq
uthers (3) - 1 freq
tigers (3) - 5 freq
night's (3) - 7 freq
figur (3) - 2 freq
biggars (3) - 2 freq
uighurs (0) - 20 freq
uighers (1) - 1 freq
uighur (2) - 34 freq
highers (3) - 12 freq
gaurs (4) - 2 freq
uthers (4) - 1 freq
gurs (4) - 1 freq
ushers (4) - 2 freq
thurs (4) - 16 freq
ithers (4) - 574 freq
ithirs (4) - 10 freq
aithers (4) - 7 freq
yoghurt (4) - 4 freq
whurs (4) - 1 freq
figurs (4) - 7 freq
vigurs (4) - 1 freq
hurs (4) - 4 freq
eithers (4) - 1 freq
figgurs (4) - 1 freq
guisers (5) - 8 freq
gethers (5) - 11 freq
glaurs (5) - 1 freq
thers (5) - 1 freq
gaars (5) - 1 freq
guiders (5) - 1 freq
SoundEx code - U262
ushers - 2 freq
users - 7 freq
uisers - 17 freq
usher's - 1 freq
usurious - 1 freq
uighurs - 20 freq
uighers - 1 freq
uuqrzgkz - 1 freq
usherkomugisha - 1 freq
MetaPhone code - UFRS
uighurs - 20 freq
uighers - 1 freq
UIGHURS
Time to execute Levenshtein function - 0.212048 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 - 0.381203 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 - 0.028346 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 - 0.036914 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 - 0.000799 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.