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 ndgear in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
ndgear (0) - 1 freq
near (2) - 1175 freq
dear (2) - 425 freq
edgar (2) - 10 freq
gear (2) - 237 freq
endear (2) - 1 freq
nucear (2) - 1 freq
drear (2) - 10 freq
'dear (2) - 4 freq
niger (2) - 1 freq
neat (3) - 44 freq
codger (3) - 2 freq
dar (3) - 86 freq
d'eau (3) - 1 freq
'bear (3) - 1 freq
gaar (3) - 1 freq
admeir (3) - 2 freq
aegean (3) - 4 freq
sear (3) - 2 freq
nbgan (3) - 1 freq
nudges (3) - 4 freq
niver (3) - 851 freq
gear' (3) - 1 freq
fear (3) - 429 freq
neal (3) - 1 freq
ndgear (0) - 1 freq
endear (3) - 1 freq
niger (3) - 1 freq
edgar (3) - 10 freq
endager (3) - 1 freq
neiger (4) - 1 freq
under (4) - 447 freq
ndr (4) - 1 freq
nidge (4) - 2 freq
heidgear (4) - 1 freq
wadger (4) - 5 freq
andrea (4) - 1 freq
heedgear (4) - 1 freq
cadger (4) - 5 freq
dodger (4) - 5 freq
sodger (4) - 114 freq
tadger (4) - 3 freq
ledger (4) - 1 freq
anger (4) - 73 freq
gadger (4) - 1 freq
lodger (4) - 3 freq
nidged (4) - 1 freq
nedder (4) - 18 freq
ludger (4) - 4 freq
nidder (4) - 6 freq
SoundEx code - N326
nut-gairden - 1 freq
net-curteen - 1 freq
nutcracker - 2 freq
ndgear - 1 freq
notthegramma - 2 freq
MetaPhone code - NJR
nigeria - 5 freq
niger - 1 freq
neiger - 1 freq
€œneiger - 1 freq
njr - 1 freq
ndgear - 1 freq
NDGEAR
Time to execute Levenshtein function - 0.282386 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 - 0.438192 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 - 0.031601 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 - 0.039407 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 - 0.001008 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.