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 nummmer in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
nummmer (0) - 1 freq
nummer (1) - 336 freq
nummet (2) - 1 freq
tummler (2) - 3 freq
nummert (2) - 4 freq
bummer (2) - 21 freq
suimmer (2) - 1 freq
nummers (2) - 110 freq
wummer (2) - 1 freq
hummer (2) - 2 freq
summer (2) - 202 freq
nummur (2) - 1 freq
number (2) - 174 freq
cummer (2) - 6 freq
pummel (3) - 4 freq
jummle (3) - 5 freq
namer (3) - 1 freq
vimmer (3) - 3 freq
jumper (3) - 43 freq
zimmer (3) - 3 freq
rummled (3) - 3 freq
gemmer (3) - 1 freq
mummle (3) - 4 freq
cummled (3) - 2 freq
lummed (3) - 2 freq
nummmer (0) - 1 freq
nummer (2) - 336 freq
nummur (3) - 1 freq
number (4) - 174 freq
cummer (4) - 6 freq
novemmer (4) - 7 freq
intimmer (4) - 1 freq
summer (4) - 202 freq
memmer (4) - 35 freq
rememmer (4) - 1 freq
tummler (4) - 3 freq
nummert (4) - 4 freq
nummet (4) - 1 freq
hummer (4) - 2 freq
bummer (4) - 21 freq
nummers (4) - 110 freq
suimmer (4) - 1 freq
wummer (4) - 1 freq
brammer (5) - 7 freq
kimmeer (5) - 1 freq
murmer (5) - 2 freq
novemer (5) - 1 freq
limmer (5) - 19 freq
bremmer (5) - 1 freq
gimmer (5) - 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
NUMMMER
Time to execute Levenshtein function - 0.292968 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 - 0.582152 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 - 0.027556 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 - 0.073067 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 - 0.000891 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.