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 peanut in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
peanut (0) - 11 freq
peanuts (1) - 11 freq
peat (2) - 59 freq
peent (2) - 1 freq
peyn't (2) - 6 freq
speant (2) - 1 freq
pedant (2) - 3 freq
weant (2) - 1 freq
mean't (2) - 4 freq
peans (2) - 1 freq
panet (2) - 1 freq
pant (2) - 3 freq
pennit (2) - 1 freq
peynt (2) - 1 freq
meenut (2) - 8 freq
paut (2) - 1 freq
leant (2) - 34 freq
penud (2) - 1 freq
granut (2) - 1 freq
peint (2) - 5 freq
pent (2) - 39 freq
planun (2) - 1 freq
planet (2) - 212 freq
plankt (2) - 1 freq
beaut (2) - 5 freq
peanut (0) - 11 freq
panet (2) - 1 freq
pant (2) - 3 freq
peynt (2) - 1 freq
peint (2) - 5 freq
pent (2) - 39 freq
peanuts (2) - 11 freq
peent (2) - 1 freq
apenit (3) - 1 freq
poynt (3) - 1 freq
opent (3) - 88 freq
peakit (3) - 1 freq
plant (3) - 82 freq
pinot (3) - 4 freq
panto (3) - 5 freq
point (3) - 403 freq
pint (3) - 188 freq
openit (3) - 4 freq
punt (3) - 9 freq
panty (3) - 1 freq
pynit (3) - 3 freq
peart (3) - 1 freq
paint (3) - 62 freq
apent (3) - 29 freq
piynt (3) - 2 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
PEANUT
Time to execute Levenshtein function - 0.185358 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 - 0.334255 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 - 0.028044 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 - 0.001001 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.