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 neap in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
neap (0) - 1 freq
nean (1) - 1 freq
necp (1) - 1 freq
nap (1) - 17 freq
heap (1) - 46 freq
reap (1) - 10 freq
nea (1) - 1 freq
neat (1) - 44 freq
near (1) - 1175 freq
nerp (1) - 1 freq
neep (1) - 130 freq
leap (1) - 17 freq
neal (1) - 1 freq
eau (2) - 2 freq
peep (2) - 46 freq
read (2) - 958 freq
esp (2) - 10 freq
nepal (2) - 1 freq
seam (2) - 6 freq
aeaw (2) - 1 freq
next (2) - 955 freq
nears (2) - 3 freq
leam (2) - 17 freq
year (2) - 2070 freq
leav (2) - 1 freq
neap (0) - 1 freq
neep (1) - 130 freq
nap (1) - 17 freq
noop (2) - 1 freq
napa (2) - 3 freq
nape (2) - 2 freq
noup (2) - 2 freq
nup (2) - 12 freq
nop (2) - 1 freq
np (2) - 5 freq
neal (2) - 1 freq
nip (2) - 119 freq
niep (2) - 2 freq
nea (2) - 1 freq
leap (2) - 17 freq
necp (2) - 1 freq
nean (2) - 1 freq
neat (2) - 44 freq
nerp (2) - 1 freq
near (2) - 1175 freq
reap (2) - 10 freq
heap (2) - 46 freq
neir (3) - 24 freq
ap (3) - 94 freq
nero (3) - 1 freq
SoundEx code - N100
neb - 278 freq
nebbie - 9 freq
nieve - 29 freq
neive - 21 freq
nup - 12 freq
nip - 119 freq
nabbie - 7 freq
neep - 130 freq
nyaff - 24 freq
nippy - 29 freq
nappy - 15 freq
nab - 10 freq
navy - 45 freq
'nup - 1 freq
'nuff - 1 freq
nephew - 28 freq
nebby - 2 freq
newbie - 3 freq
nfu - 1 freq
nov - 4 freq
noup - 2 freq
nape - 2 freq
nub - 5 freq
nippie - 6 freq
nowp - 1 freq
naive - 11 freq
nova - 7 freq
noop - 1 freq
nevahhh - 1 freq
nubbie - 1 freq
nib - 10 freq
nove - 1 freq
naïve - 5 freq
neave - 3 freq
no've - 2 freq
nop - 1 freq
naff - 2 freq
nebfu - 1 freq
nob - 1 freq
neib - 1 freq
nappie - 1 freq
nap - 17 freq
nope - 18 freq
nev - 6 freq
nav - 3 freq
neep' - 1 freq
nebe - 4 freq
niep - 2 freq
naïf - 1 freq
napa - 3 freq
nyaaf - 2 freq
neeb - 2 freq
niff - 1 freq
nae-pea - 1 freq
niv - 5 freq
nevoy - 7 freq
€œnip - 2 freq
nava - 30 freq
€™nyf - 1 freq
€œnaeb - 1 freq
€˜nup - 2 freq
naeb - 8 freq
napp - 2 freq
nouveau - 3 freq
€˜nippy - 3 freq
nave - 1 freq
naffu - 1 freq
nibbie - 1 freq
navvy - 1 freq
nb - 4 freq
nev-foo - 1 freq
nebo - 1 freq
new-faa - 1 freq
nv - 5 freq
nnpw - 1 freq
nf - 2 freq
np - 5 freq
nvw - 1 freq
nva - 2 freq
nuf - 1 freq
neap - 1 freq
noyfea - 1 freq
npu - 1 freq
nhv - 1 freq
nfb - 1 freq
'nip - 2 freq
'neep' - 3 freq
nobby - 1 freq
naafi - 1 freq
MetaPhone code - NP
nup - 12 freq
nip - 119 freq
neep - 130 freq
nippy - 29 freq
nappy - 15 freq
'nup - 1 freq
noup - 2 freq
nape - 2 freq
nippie - 6 freq
nowp - 1 freq
noop - 1 freq
knapp - 2 freq
knap - 9 freq
nop - 1 freq
knappy - 1 freq
nappie - 1 freq
nap - 17 freq
gnap - 1 freq
nope - 18 freq
neep' - 1 freq
niep - 2 freq
napa - 3 freq
nae-pea - 1 freq
€œnip - 2 freq
€˜nup - 2 freq
napp - 2 freq
€˜nippy - 3 freq
nnpw - 1 freq
np - 5 freq
neap - 1 freq
npu - 1 freq
'nip - 2 freq
'neep' - 3 freq
NEAP
Time to execute Levenshtein function - 0.264405 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 - 0.388654 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 - 0.027992 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 - 0.054961 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 - 0.001117 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.