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 pawnd in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
pawnd (0) - 1 freq
pand (1) - 3 freq
pawns (1) - 1 freq
pawn (1) - 10 freq
pawned (1) - 2 freq
sand (2) - 87 freq
paan (2) - 3 freq
awnt (2) - 1 freq
wawed (2) - 1 freq
wand (2) - 14 freq
panned (2) - 7 freq
spawny (2) - 2 freq
rand (2) - 2 freq
spawn (2) - 5 freq
panda (2) - 1 freq
paw (2) - 47 freq
awld (2) - 6 freq
hawn (2) - 33 freq
paced (2) - 5 freq
laund (2) - 89 freq
cawn (2) - 1 freq
hawns (2) - 18 freq
cawld (2) - 4 freq
gawn (2) - 34 freq
lawd (2) - 1 freq
pawnd (0) - 1 freq
pawned (1) - 2 freq
pawn (2) - 10 freq
pand (2) - 3 freq
pawns (2) - 1 freq
pawin (3) - 3 freq
waand (3) - 2 freq
spawned (3) - 1 freq
dawned (3) - 14 freq
pend (3) - 3 freq
pawled (3) - 1 freq
upwind (3) - 1 freq
pawted (3) - 1 freq
pund (3) - 37 freq
pawndin (3) - 1 freq
powneed (3) - 1 freq
pound (3) - 129 freq
fawned (3) - 1 freq
awned (3) - 27 freq
pained (3) - 1 freq
pown (3) - 3 freq
panda (3) - 1 freq
pond (3) - 50 freq
wand (3) - 14 freq
yawned (3) - 15 freq
SoundEx code - P530
pynt - 277 freq
paint - 62 freq
point - 403 freq
pint - 188 freq
peened - 10 freq
pent - 39 freq
pund - 37 freq
pend - 3 freq
pyntie - 1 freq
pound - 129 freq
punt - 9 freq
phont - 3 freq
pyned - 1 freq
panned - 7 freq
penned - 14 freq
phoned - 72 freq
peend - 4 freq
pond - 50 freq
pownte - 1 freq
pinned - 22 freq
pynit - 3 freq
poond - 13 freq
peyn't - 6 freq
peynt - 1 freq
peint - 5 freq
ponte - 1 freq
ponyta - 1 freq
pant - 3 freq
pawned - 2 freq
peanut - 11 freq
punto - 4 freq
pointy - 6 freq
pmt - 3 freq
puntee - 1 freq
panda - 1 freq
pennit - 1 freq
pin't - 1 freq
phone't - 1 freq
pained - 1 freq
pinot - 4 freq
pine-widd - 2 freq
pinnet - 1 freq
poynt - 1 freq
panto - 5 freq
pened - 1 freq
piynt - 2 freq
pinnied - 1 freq
pin-heid - 1 freq
pennied - 1 freq
punt' - 1 freq
powneed - 1 freq
pynty - 1 freq
pawnd - 1 freq
panet - 1 freq
-pund - 1 freq
peent - 1 freq
pand - 3 freq
pinewood - 1 freq
pandyyyy - 2 freq
panty - 1 freq
pnd - 1 freq
penud - 1 freq
punnet - 1 freq
pmd - 1 freq
MetaPhone code - PNT
pynt - 277 freq
paint - 62 freq
point - 403 freq
pint - 188 freq
peened - 10 freq
pent - 39 freq
pund - 37 freq
pend - 3 freq
pyntie - 1 freq
pound - 129 freq
punt - 9 freq
pyned - 1 freq
panned - 7 freq
penned - 14 freq
peend - 4 freq
pond - 50 freq
pownte - 1 freq
pinned - 22 freq
pynit - 3 freq
poond - 13 freq
peyn't - 6 freq
peynt - 1 freq
peint - 5 freq
ponte - 1 freq
ponyta - 1 freq
pant - 3 freq
pawned - 2 freq
peanut - 11 freq
punto - 4 freq
pointy - 6 freq
puntee - 1 freq
panda - 1 freq
pennit - 1 freq
pin't - 1 freq
pained - 1 freq
pinot - 4 freq
pinnet - 1 freq
poynt - 1 freq
panto - 5 freq
pened - 1 freq
piynt - 2 freq
pinnied - 1 freq
pennied - 1 freq
punt' - 1 freq
powneed - 1 freq
pynty - 1 freq
pawnd - 1 freq
panet - 1 freq
-pund - 1 freq
peent - 1 freq
pand - 3 freq
pandyyyy - 2 freq
panty - 1 freq
penud - 1 freq
punnet - 1 freq
PAWND
Time to execute Levenshtein function - 0.184537 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 - 0.337996 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 - 0.028305 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 - 0.037906 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 - 0.000912 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.