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 nattled in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
nattled (0) - 1 freq
battled (1) - 2 freq
sattled (1) - 29 freq
rattled (1) - 32 freq
nettled (1) - 1 freq
batted (2) - 1 freq
unsattled (2) - 1 freq
matted (2) - 2 freq
dottled (2) - 7 freq
cattler (2) - 3 freq
castled (2) - 1 freq
battle (2) - 125 freq
mantled (2) - 1 freq
battlen (2) - 2 freq
patted (2) - 14 freq
rattles (2) - 9 freq
nettles (2) - 23 freq
nattered (2) - 1 freq
cuttled (2) - 1 freq
battles (2) - 26 freq
fettled (2) - 1 freq
pettled (2) - 1 freq
rattle (2) - 36 freq
nettle (2) - 8 freq
cattle (2) - 22 freq
nattled (0) - 1 freq
nettled (1) - 1 freq
battled (2) - 2 freq
rattled (2) - 32 freq
sattled (2) - 29 freq
bottled (3) - 1 freq
nettle (3) - 8 freq
fettled (3) - 1 freq
entitled (3) - 26 freq
pettled (3) - 1 freq
mottled (3) - 2 freq
notted (3) - 1 freq
settled (3) - 114 freq
rettled (3) - 1 freq
kittled (3) - 24 freq
ettled (3) - 75 freq
nestled (3) - 7 freq
cuttled (3) - 1 freq
untitled (3) - 1 freq
nattered (3) - 1 freq
intitled (3) - 1 freq
dottled (3) - 7 freq
unsattled (3) - 1 freq
nettles (3) - 23 freq
nailed (4) - 16 freq
SoundEx code - N343
nettled - 1 freq
nettletar - 1 freq
nattled - 1 freq
natalieahood - 57 freq
MetaPhone code - NTLT
nettled - 1 freq
nattled - 1 freq
NATTLED
Time to execute Levenshtein function - 0.229157 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 - 0.415984 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 - 0.031617 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 - 0.037329 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 - 0.000841 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.