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 nummers in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
nummers (0) - 107 freq
summers (1) - 13 freq
numbers (1) - 64 freq
bummers (1) - 18 freq
nummer's (1) - 2 freq
nummer (1) - 336 freq
nummert (1) - 4 freq
bummer (2) - 21 freq
emmers (2) - 4 freq
summer (2) - 196 freq
number (2) - 172 freq
slummers (2) - 1 freq
hummer (2) - 2 freq
timmers (2) - 6 freq
drummers (2) - 2 freq
lumbers (2) - 3 freq
hummels (2) - 1 freq
tummlers (2) - 1 freq
wummer (2) - 1 freq
bummer's (2) - 2 freq
cumers (2) - 1 freq
limmers (2) - 3 freq
rummels (2) - 2 freq
gimmers (2) - 3 freq
nutmegs (2) - 1 freq
nummers (0) - 107 freq
nummer (2) - 336 freq
summers (2) - 13 freq
nummer's (2) - 2 freq
nummert (2) - 4 freq
bummers (2) - 18 freq
numbers (2) - 64 freq
memmers (3) - 40 freq
yammers (3) - 3 freq
gimmers (3) - 3 freq
nemmes (3) - 10 freq
nummur (3) - 1 freq
hemmers (3) - 1 freq
immers (3) - 2 freq
nummerin (3) - 6 freq
limmers (3) - 3 freq
simmers (3) - 16 freq
hammers (3) - 6 freq
incummers (3) - 4 freq
timmers (3) - 6 freq
emmers (3) - 4 freq
intimmers (4) - 25 freq
haimmers (4) - 1 freq
numerous (4) - 8 freq
aumers (4) - 4 freq
SoundEx code - N562
nummers - 107 freq
nummer's - 2 freq
numerous - 8 freq
newmarket - 1 freq
nynorsk - 2 freq
numerical - 1 freq
non-work - 1 freq
numeracy - 3 freq
MetaPhone code - NMRS
numbers - 64 freq
nummers - 107 freq
nummer's - 2 freq
numerous - 8 freq
numeracy - 3 freq
NUMMERS
Time to execute Levenshtein function - 0.212634 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 - 0.369622 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 - 0.027091 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 - 0.037718 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 - 0.001076 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.