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 pit-ooter in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
pit-ooter (0) - 2 freq
pit-oot (2) - 5 freq
pitter (3) - 2 freq
stooter (3) - 1 freq
plooter (3) - 1 freq
pooter (3) - 1 freq
tooter (3) - 4 freq
withooten (3) - 2 freq
piloted (4) - 1 freq
wiooten (4) - 2 freq
minoover (4) - 1 freq
witoot (4) - 1 freq
propter (4) - 1 freq
picter (4) - 89 freq
gitter (4) - 1 freq
stotter (4) - 11 freq
pre-order (4) - 2 freq
pitdoon (4) - 1 freq
rig-oots (4) - 2 freq
'ithoot (4) - 1 freq
pitted (4) - 1 freq
out-ower (4) - 1 freq
blooter (4) - 9 freq
withouten (4) - 2 freq
plitter (4) - 1 freq
pit-ooter (0) - 2 freq
pit-oot (3) - 5 freq
pitter (4) - 2 freq
putter (5) - 1 freq
pit-poetry (5) - 1 freq
potter (5) - 29 freq
paitter (5) - 1 freq
tooter (5) - 4 freq
stooter (5) - 1 freq
plooter (5) - 1 freq
pooter (5) - 1 freq
patter (5) - 56 freq
litter (6) - 16 freq
mitter (6) - 1 freq
porter (6) - 14 freq
pit-pat (6) - 2 freq
poetaster (6) - 1 freq
pityer (6) - 1 freq
plowter (6) - 6 freq
stoiter (6) - 4 freq
pit-pony (6) - 1 freq
pattir (6) - 2 freq
airt-oot (6) - 2 freq
sitter (6) - 1 freq
nitter (6) - 1 freq
SoundEx code - P336
pittodrie - 16 freq
pettawater - 1 freq
pit-ooter - 2 freq
peut-etre - 1 freq
pittodrie's - 1 freq
MetaPhone code - PTTR
pittodrie - 16 freq
pit-ooter - 2 freq
peut-etre - 1 freq
PIT-OOTER
Time to execute Levenshtein function - 0.216812 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 - 0.427638 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 - 0.028834 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 - 0.041351 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 - 0.000894 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.