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 oomph in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
oomph (0) - 4 freq
oompa (1) - 1 freq
mumph (2) - 1 freq
sumph (2) - 21 freq
comp (2) - 3 freq
loompa (2) - 1 freq
mph (2) - 2 freq
oooh (2) - 8 freq
gumph (2) - 1 freq
ooh (2) - 37 freq
pomp (2) - 2 freq
bumph (2) - 3 freq
oop (2) - 2 freq
oops (2) - 18 freq
hmmph (2) - 8 freq
ooohh (2) - 1 freq
morph (2) - 1 freq
nymph (2) - 2 freq
clomph (2) - 1 freq
hmph (2) - 1 freq
humph (2) - 15 freq
compt (2) - 1 freq
oohhh (2) - 2 freq
ooooh (2) - 7 freq
compy (2) - 1 freq
oomph (0) - 4 freq
mph (2) - 2 freq
imph (2) - 1 freq
oompa (2) - 1 freq
sumph (3) - 21 freq
bumph (3) - 3 freq
nymph (3) - 2 freq
morph (3) - 1 freq
hmph (3) - 1 freq
gumph (3) - 1 freq
mmph (3) - 2 freq
humph (3) - 15 freq
mumph (3) - 1 freq
jamph (3) - 1 freq
zeph (4) - 1 freq
moich (4) - 2 freq
empy (4) - 6 freq
moth (4) - 7 freq
mooch (4) - 25 freq
mpd (4) - 1 freq
ymp (4) - 2 freq
meh (4) - 192 freq
mps (4) - 31 freq
mouth (4) - 45 freq
mh (4) - 3 freq
SoundEx code - O510
onfaw - 4 freq
oonhappy - 1 freq
oomph - 4 freq
oompa - 1 freq
onhappie - 1 freq
one-aff - 1 freq
omb - 3 freq
onby - 1 freq
onieb - 1 freq
onyb - 1 freq
onafi - 1 freq
ohhomaob - 1 freq
MetaPhone code - OMF
oomph - 4 freq
omagh - 2 freq
OOMPH
Time to execute Levenshtein function - 0.524018 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 - 0.912273 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 - 0.083741 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 - 0.081405 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 - 0.000875 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.