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 heddit in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
heddit (0) - 1 freq
feddit (1) - 1 freq
sheddit (1) - 2 freq
beddit (1) - 16 freq
haddit (1) - 1 freq
hoddit (1) - 1 freq
herdit (1) - 8 freq
hiddit (1) - 2 freq
heddir (1) - 4 freq
headit (1) - 19 freq
heedit (1) - 6 freq
reddit (1) - 13 freq
heidit (1) - 60 freq
reddie (2) - 6 freq
sendit (2) - 1 freq
hindit (2) - 1 freq
mendit (2) - 9 freq
fedit (2) - 1 freq
reddir (2) - 6 freq
beddin (2) - 16 freq
herkit (2) - 1 freq
hiddil (2) - 2 freq
nedeit (2) - 1 freq
neidit (2) - 1 freq
hettit (2) - 1 freq
heddit (0) - 1 freq
haddit (1) - 1 freq
hoddit (1) - 1 freq
hiddit (1) - 2 freq
reddit (2) - 13 freq
heidit (2) - 60 freq
hauddit (2) - 18 freq
headit (2) - 19 freq
heedit (2) - 6 freq
feddit (2) - 1 freq
sheddit (2) - 2 freq
heddir (2) - 4 freq
beddit (2) - 16 freq
herdit (2) - 8 freq
hidit (3) - 1 freq
widdit (3) - 2 freq
hiddilt (3) - 1 freq
hiddin (3) - 1 freq
roddit (3) - 1 freq
hoddin (3) - 3 freq
huddin (3) - 23 freq
hoodit (3) - 1 freq
haddie (3) - 9 freq
heddle (3) - 1 freq
handit (3) - 27 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
HEDDIT
Time to execute Levenshtein function - 0.176570 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 - 0.335107 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 - 0.027895 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 - 0.036983 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 - 0.000942 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.