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 nummer in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
nummer (0) - 336 freq
bummer (1) - 21 freq
summer (1) - 202 freq
cummer (1) - 6 freq
wummer (1) - 1 freq
hummer (1) - 2 freq
nummmer (1) - 1 freq
nummur (1) - 1 freq
number (1) - 174 freq
nummers (1) - 110 freq
nummet (1) - 1 freq
nummert (1) - 4 freq
suimmer (2) - 1 freq
humer (2) - 1 freq
tummel (2) - 5 freq
himmer (2) - 1 freq
sumer (2) - 1 freq
nummer's (2) - 2 freq
tummler (2) - 3 freq
simmer (2) - 314 freq
dammer (2) - 1 freq
zimmer (2) - 3 freq
naemer (2) - 3 freq
nemme (2) - 9 freq
hammer (2) - 44 freq
nummer (0) - 336 freq
nummur (1) - 1 freq
number (2) - 174 freq
nummert (2) - 4 freq
nummmer (2) - 1 freq
nummet (2) - 1 freq
nummers (2) - 110 freq
summer (2) - 202 freq
hummer (2) - 2 freq
bummer (2) - 21 freq
cummer (2) - 6 freq
wummer (2) - 1 freq
jimmer (3) - 5 freq
nummerin (3) - 6 freq
memmer (3) - 35 freq
kimmer (3) - 6 freq
immer (3) - 2 freq
summur (3) - 1 freq
nummi (3) - 3 freq
vimmer (3) - 3 freq
hemmer (3) - 21 freq
yammer (3) - 5 freq
gimmer (3) - 2 freq
commer (3) - 1 freq
lammer (3) - 2 freq
SoundEx code - N560
nummer - 336 freq
namer - 1 freq
nanr - 1 freq
naemer - 3 freq
naemair - 1 freq
nummur - 1 freq
nummmer - 1 freq
numero - 1 freq
neymar - 1 freq
MetaPhone code - NMR
nummer - 336 freq
number - 174 freq
namer - 1 freq
nambarrie - 1 freq
naemer - 3 freq
naemair - 1 freq
€œnumber - 1 freq
nummur - 1 freq
nummmer - 1 freq
nhmbr - 1 freq
numero - 1 freq
neymar - 1 freq
NUMMER
Time to execute Levenshtein function - 0.307306 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 - 0.392836 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 - 0.030434 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 - 0.073313 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 - 0.000882 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.