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 moving in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
moving (0) - 23 freq
movin (1) - 124 freq
loving (1) - 27 freq
movin' (1) - 2 freq
ming (2) - 12 freq
movin’ (2) - 1 freq
momin (2) - 10 freq
'movin (2) - 1 freq
huving (2) - 1 freq
going (2) - 234 freq
coding (2) - 1 freq
hiving (2) - 1 freq
bovine (2) - 2 freq
moaning (2) - 8 freq
losing (2) - 14 freq
mowin (2) - 2 freq
movan (2) - 10 freq
boking (2) - 1 freq
mong (2) - 1 freq
morin (2) - 2 freq
toting (2) - 1 freq
raving (2) - 2 freq
boeing (2) - 1 freq
voting (2) - 27 freq
mooin (2) - 4 freq
moving (0) - 23 freq
movin' (2) - 2 freq
loving (2) - 27 freq
movin (2) - 124 freq
raving (3) - 2 freq
mavin (3) - 1 freq
luving (3) - 1 freq
mivin (3) - 1 freq
mong (3) - 1 freq
mixing (3) - 2 freq
having (3) - 59 freq
making (3) - 57 freq
living (3) - 48 freq
mcing (3) - 1 freq
movan (3) - 10 freq
mining (3) - 5 freq
muvin (3) - 12 freq
waving (3) - 8 freq
huving (3) - 1 freq
irving (3) - 1 freq
heving (3) - 1 freq
ming (3) - 12 freq
mating (3) - 1 freq
giving (3) - 25 freq
saving (3) - 4 freq
SoundEx code - M152
moving - 23 freq
mabinogion - 1 freq
mabonslaw - 2 freq
map-makar - 1 freq
mvmccu - 1 freq
mpnxgjebep - 1 freq
mibmj - 1 freq
“moving - 1 freq
mbanks - 1 freq
muffbeans - 16 freq
MetaPhone code - MFNK
moving - 23 freq
“moving - 1 freq
MOVING
Time to execute Levenshtein function - 0.341253 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 - 0.707171 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 - 0.040523 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 - 0.089573 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 - 0.001063 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.