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 hpelud in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hpelud (0) - 1 freq
held (2) - 509 freq
haeled (2) - 2 freq
heeld (2) - 2 freq
penud (2) - 1 freq
heeled (2) - 1 freq
höld (3) - 2 freq
hoped (3) - 42 freq
peuk (3) - 1 freq
he'd (3) - 974 freq
applaud (3) - 4 freq
hiely (3) - 1 freq
heird (3) - 1 freq
sheeld (3) - 1 freq
hooled (3) - 1 freq
speerd (3) - 7 freq
heejun (3) - 1 freq
paud (3) - 1 freq
heerd (3) - 93 freq
hppyu (3) - 1 freq
heezed (3) - 40 freq
pled (3) - 3 freq
heeded (3) - 14 freq
spieled (3) - 1 freq
oped (3) - 1 freq
hpelud (0) - 1 freq
heeld (3) - 2 freq
heeled (3) - 1 freq
haeled (3) - 2 freq
held (3) - 509 freq
haild (4) - 2 freq
plod (4) - 1 freq
peeled (4) - 17 freq
speeled (4) - 7 freq
spieled (4) - 1 freq
hurled (4) - 21 freq
haled (4) - 1 freq
harled (4) - 6 freq
howled (4) - 15 freq
howld (4) - 17 freq
hauled (4) - 21 freq
spiled (4) - 7 freq
haaled (4) - 21 freq
halled (4) - 2 freq
healed (4) - 10 freq
hauld (4) - 17 freq
puled (4) - 6 freq
harld (4) - 1 freq
applaud (4) - 4 freq
puld (4) - 6 freq
SoundEx code - H143
hauf-lit - 4 freq
hibbled - 1 freq
hayfield - 3 freq
heyfields - 1 freq
hippolytus - 2 freq
hability - 2 freq
hobbled - 2 freq
hippolyta's - 2 freq
hippolyta - 5 freq
hoplites - 1 freq
hauf-leid - 1 freq
haploidy - 1 freq
haplodiploidy - 1 freq
habeilitie - 1 freq
hee-bluidy-haw - 1 freq
hauf-bauld - 1 freq
heyfield - 3 freq
hie-politics - 1 freq
hpelud - 1 freq
MetaPhone code - PLT
plaid - 23 freq
pulled - 174 freq
piled - 19 freq
ploo'ed - 2 freq
plate - 183 freq
pewled - 7 freq
pulld - 10 freq
plied - 13 freq
polite - 56 freq
pullt - 36 freq
plet - 4 freq
plowt - 7 freq
pilot - 24 freq
pelt - 16 freq
puled - 6 freq
poulet - 1 freq
plooed - 10 freq
pallid - 1 freq
plot - 38 freq
peeled - 17 freq
pult - 25 freq
pullit - 1 freq
plat - 4 freq
playt - 3 freq
pladda - 1 freq
pilet - 1 freq
plait - 6 freq
pluidy - 1 freq
pled - 3 freq
puult - 4 freq
pilit - 2 freq
playd - 2 freq
pylt - 1 freq
palette - 4 freq
pollute - 2 freq
plead - 6 freq
play'd - 1 freq
palate - 4 freq
pulied - 1 freq
palt - 1 freq
palled - 5 freq
pilate - 36 freq
poleet - 3 freq
ploot - 1 freq
plato - 4 freq
polity - 4 freq
plöt - 1 freq
ploo'd - 2 freq
plaet - 5 freq
pull't - 2 freq
politie - 2 freq
pylot - 3 freq
paalled - 1 freq
pleat - 5 freq
ploied - 1 freq
plouty - 1 freq
puld - 6 freq
ploued - 4 freq
pleyt - 1 freq
peelit - 1 freq
plaidie - 3 freq
plettie - 1 freq
plout - 1 freq
pluto - 2 freq
ploút - 1 freq
'polite' - 1 freq
platie - 2 freq
pawled - 1 freq
polatie - 1 freq
pilled - 3 freq
plood - 1 freq
plateau - 4 freq
plod - 1 freq
pallet - 3 freq
pull-oot - 1 freq
€˜plaet - 1 freq
p-l-i-t - 1 freq
peel't - 2 freq
plyte - 1 freq
pullet - 3 freq
peelt - 1 freq
pawlett - 1 freq
plldo - 1 freq
pollidee - 3 freq
pleut - 1 freq
plottie - 1 freq
hpelud - 1 freq
pielet - 2 freq
plutty - 1 freq
ploat - 1 freq
HPELUD
Time to execute Levenshtein function - 0.185655 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 - 0.344134 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 - 0.030053 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 - 0.040060 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 - 0.001282 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.