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 nearer in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
nearer (0) - 72 freq
dearer (1) - 8 freq
neurer (1) - 1 freq
neared (1) - 3 freq
hearer (1) - 1 freq
nerrer (1) - 2 freq
bearer (1) - 7 freq
nearder (1) - 1 freq
farer (2) - 1 freq
leared (2) - 1 freq
reared (2) - 24 freq
ferrer (2) - 8 freq
teared (2) - 1 freq
nearin (2) - 6 freq
neave (2) - 3 freq
heared (2) - 14 freq
nether (2) - 26 freq
naurer (2) - 1 freq
neiper (2) - 6 freq
header (2) - 2 freq
beater (2) - 11 freq
neeper (2) - 5 freq
eader (2) - 1 freq
neider (2) - 1 freq
weaker (2) - 4 freq
nearer (0) - 72 freq
neurer (1) - 1 freq
nerr (2) - 9 freq
naurer (2) - 1 freq
nearder (2) - 1 freq
bearer (2) - 7 freq
dearer (2) - 8 freq
neared (2) - 3 freq
hearer (2) - 1 freq
nerrer (2) - 2 freq
nearly (3) - 289 freq
nearg (3) - 1 freq
narrer (3) - 2 freq
nearan (3) - 1 freq
ne're (3) - 1 freq
nare (3) - 1 freq
neiger (3) - 1 freq
nerra (3) - 33 freq
carer (3) - 10 freq
ne'er (3) - 173 freq
herer (3) - 1 freq
neuter (3) - 2 freq
neeber (3) - 2 freq
neiver (3) - 1 freq
faarer (3) - 6 freq
SoundEx code - N660
nearer - 72 freq
neurer - 1 freq
narrer - 2 freq
narraer - 1 freq
narrower - 2 freq
nerrer - 2 freq
naurer - 1 freq
MetaPhone code - NRR
nearer - 72 freq
neurer - 1 freq
narrer - 2 freq
narraer - 1 freq
nerrer - 2 freq
naurer - 1 freq
NEARER
near - 1175 freq
nearer - 72 freq
nearest - 64 freq
Time to execute Levenshtein function - 0.258653 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 - 0.355086 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 - 0.034767 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 - 0.036634 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 - 0.000900 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.