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 hootit in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hootit (0) - 2 freq
bootit (1) - 2 freq
hoodit (1) - 1 freq
rootit (1) - 8 freq
dootit (1) - 2 freq
tootit (1) - 1 freq
shootit (1) - 1 freq
hookit (1) - 1 freq
hostit (1) - 7 freq
hottit (1) - 1 freq
mootit (1) - 1 freq
hootin (1) - 4 freq
lootit (1) - 1 freq
costit (2) - 3 freq
postit (2) - 13 freq
clootit (2) - 1 freq
cookit (2) - 3 freq
oozit (2) - 2 freq
pootin (2) - 1 freq
haitit (2) - 1 freq
hooting (2) - 1 freq
hopit (2) - 6 freq
tootlt (2) - 1 freq
hoolits (2) - 1 freq
hoovin (2) - 3 freq
hootit (0) - 2 freq
haetit (2) - 1 freq
lootit (2) - 1 freq
heatit (2) - 2 freq
mootit (2) - 1 freq
hautit (2) - 2 freq
haitit (2) - 1 freq
hatit (2) - 15 freq
hottit (2) - 1 freq
hootin (2) - 4 freq
hostit (2) - 7 freq
hoodit (2) - 1 freq
bootit (2) - 2 freq
dootit (2) - 2 freq
rootit (2) - 8 freq
tootit (2) - 1 freq
hookit (2) - 1 freq
shootit (2) - 1 freq
houlit (3) - 3 freq
votit (3) - 42 freq
hoastit (3) - 11 freq
coatit (3) - 5 freq
routit (3) - 1 freq
dotit (3) - 1 freq
doitit (3) - 13 freq
SoundEx code - H330
heided - 35 freq
hated - 52 freq
heid-at - 1 freq
howdied - 2 freq
haudit - 42 freq
heidit - 60 freq
hautit - 2 freq
heedit - 6 freq
hideout - 1 freq
heated - 11 freq
heid-tae-heid - 1 freq
hauded - 2 freq
hootit - 2 freq
headed - 38 freq
heidded - 1 freq
heatit - 2 freq
heitath - 1 freq
hatit - 15 freq
haeted - 1 freq
haytet - 1 freq
heedid - 1 freq
heeded - 14 freq
heetet - 1 freq
heded - 1 freq
how'd-ye-do - 1 freq
hatet - 9 freq
hoodit - 1 freq
headit - 19 freq
heidet - 1 freq
haitit - 1 freq
hoidit - 3 freq
hauddit - 18 freq
hettit - 1 freq
hottit - 1 freq
heddit - 1 freq
hatted - 1 freq
hie-heidit - 1 freq
hidit - 1 freq
hudded - 1 freq
hiddit - 2 freq
haetit - 1 freq
hateth - 1 freq
hooded - 1 freq
hoddit - 1 freq
haddit - 1 freq
hutted - 1 freq
hateit - 1 freq
haddath - 25 freq
MetaPhone code - HTT
heided - 35 freq
heid'd - 2 freq
hated - 52 freq
heid-at - 1 freq
hidtae - 4 freq
howdied - 2 freq
haudit - 42 freq
heidit - 60 freq
hautit - 2 freq
heedit - 6 freq
hideout - 1 freq
heated - 11 freq
hauded - 2 freq
hootit - 2 freq
headed - 38 freq
heidded - 1 freq
heatit - 2 freq
hatit - 15 freq
haeted - 1 freq
haitd - 1 freq
haytet - 1 freq
heedid - 1 freq
heeded - 14 freq
heetet - 1 freq
heded - 1 freq
hatet - 9 freq
hoodit - 1 freq
headit - 19 freq
heidet - 1 freq
haitit - 1 freq
hoidit - 3 freq
heedtae - 1 freq
hauddit - 18 freq
hettit - 1 freq
hottit - 1 freq
heddit - 1 freq
hatted - 1 freq
hidit - 1 freq
hudded - 1 freq
hiddit - 2 freq
haetit - 1 freq
hooded - 1 freq
hoddit - 1 freq
haddit - 1 freq
hutted - 1 freq
hateit - 1 freq
hudty - 1 freq
hudtae - 1 freq
HOOTIT
Time to execute Levenshtein function - 0.198708 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 - 0.369799 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 - 0.031705 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 - 0.043122 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 - 0.001119 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.