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 utter in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
utter (0) - 62 freq
atter (1) - 1 freq
otter (1) - 3 freq
uttert (1) - 1 freq
unter (1) - 1 freq
putter (1) - 1 freq
nutter (1) - 5 freq
gutter (1) - 32 freq
mutter (1) - 10 freq
cutter (1) - 5 freq
etter (1) - 2 freq
uther (1) - 9 freq
butter (1) - 129 freq
rutted (2) - 1 freq
mutters (2) - 10 freq
attery (2) - 1 freq
totter (2) - 2 freq
upper (2) - 54 freq
cater (2) - 5 freq
ster (2) - 3 freq
uthir (2) - 1 freq
uthur (2) - 1 freq
anter (2) - 1 freq
ether (2) - 26 freq
hater (2) - 2 freq
utter (0) - 62 freq
etter (1) - 2 freq
otter (1) - 3 freq
atter (1) - 1 freq
uther (2) - 9 freq
butter (2) - 129 freq
attar (2) - 1 freq
yitter (2) - 1 freq
cutter (2) - 5 freq
attery (2) - 1 freq
unter (2) - 1 freq
mutter (2) - 10 freq
uttert (2) - 1 freq
putter (2) - 1 freq
gutter (2) - 32 freq
nutter (2) - 5 freq
fitter (3) - 5 freq
catter (3) - 16 freq
teer (3) - 5 freq
eater (3) - 2 freq
tver (3) - 3 freq
otters (3) - 3 freq
mitter (3) - 1 freq
uttered (3) - 10 freq
tutor (3) - 9 freq
SoundEx code - U360
utter - 62 freq
udr - 1 freq
udhr - 1 freq
uther - 9 freq
uthur - 1 freq
uthir - 1 freq
utir - 1 freq
udder - 1 freq
MetaPhone code - UTR
utter - 62 freq
udr - 1 freq
udhr - 1 freq
utir - 1 freq
udder - 1 freq
UTTER
Time to execute Levenshtein function - 0.169345 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 - 0.322058 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 - 0.027397 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 - 0.039629 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 - 0.001019 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.