A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ablow

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Similar words to utter in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
utter (0) - 63 freq
cutter (1) - 5 freq
unter (1) - 1 freq
putter (1) - 1 freq
butter (1) - 134 freq
uther (1) - 9 freq
atter (1) - 1 freq
uttert (1) - 1 freq
etter (1) - 2 freq
mutter (1) - 10 freq
nutter (1) - 6 freq
gutter (1) - 33 freq
otter (1) - 3 freq
wetter (2) - 4 freq
tier (2) - 36 freq
pitter (2) - 2 freq
outten (2) - 1 freq
under (2) - 447 freq
better (2) - 1704 freq
dunter (2) - 2 freq
t'er (2) - 6 freq
hunter (2) - 48 freq
uber (2) - 2 freq
fyter (2) - 1 freq
tutted (2) - 3 freq
utter (0) - 63 freq
otter (1) - 3 freq
etter (1) - 2 freq
atter (1) - 1 freq
gutter (2) - 33 freq
yitter (2) - 1 freq
attar (2) - 1 freq
attery (2) - 1 freq
mutter (2) - 10 freq
nutter (2) - 6 freq
putter (2) - 1 freq
cutter (2) - 5 freq
unter (2) - 1 freq
butter (2) - 134 freq
uther (2) - 9 freq
uttert (2) - 1 freq
liter (3) - 1 freq
tther (3) - 6 freq
latter (3) - 25 freq
guttur (3) - 1 freq
netter (3) - 6 freq
etten (3) - 35 freq
fatter (3) - 13 freq
hater (3) - 2 freq
outer (3) - 4 freq
SoundEx code - U360
utter - 63 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 - 63 freq
udr - 1 freq
udhr - 1 freq
utir - 1 freq
udder - 1 freq
UTTER
Time to execute Levenshtein function - 0.177781 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 - 0.336407 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 - 0.028240 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 - 0.037223 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 - 0.001033 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.