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 uvms in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
uvms (0) - 1 freq
uvs (1) - 1 freq
rims (2) - 3 freq
homs (2) - 1 freq
ulls (2) - 1 freq
us (2) - 3687 freq
moms (2) - 2 freq
rams (2) - 6 freq
arms (2) - 67 freq
cims (2) - 1 freq
nims (2) - 2 freq
um (2) - 151 freq
ems (2) - 4 freq
cams (2) - 54 freq
uses (2) - 47 freq
rvus (2) - 1 freq
uk's (2) - 3 freq
ovme (2) - 1 freq
vzs (2) - 1 freq
hms (2) - 8 freq
uks (2) - 1 freq
v's (2) - 1 freq
vs (2) - 22 freq
nms (2) - 2 freq
lumms (2) - 1 freq
uvms (0) - 1 freq
vmas (2) - 1 freq
uvs (2) - 1 freq
erms (3) - 48 freq
tams (3) - 4 freq
kms (3) - 1 freq
poms (3) - 1 freq
doms (3) - 3 freq
hems (3) - 8 freq
hams (3) - 10 freq
jams (3) - 3 freq
pms (3) - 7 freq
alms (3) - 2 freq
mums (3) - 11 freq
vbs (3) - 1 freq
dims (3) - 3 freq
avs (3) - 1 freq
emms (3) - 1 freq
lms (3) - 1 freq
gums (3) - 16 freq
lims (3) - 2 freq
dems (3) - 6 freq
toms (3) - 1 freq
kums (3) - 5 freq
lums (3) - 34 freq
SoundEx code - U152
upmak - 6 freq
upmakkin - 1 freq
upmakkit - 3 freq
upmaist - 1 freq
up-an-comers - 1 freq
uppance - 1 freq
ufonyz - 1 freq
uvms - 1 freq
uwbamx - 1 freq
uafneucpjo - 1 freq
MetaPhone code - UFMS
uvms - 1 freq
UVMS
Time to execute Levenshtein function - 0.214264 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 - 0.341189 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 - 0.029073 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 - 0.038464 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 - 0.000867 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.