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 heid-doun in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
heid-doun (0) - 3 freq
heid-doon (1) - 1 freq
heid-on (2) - 1 freq
pit-doun (3) - 1 freq
deid-duin (3) - 1 freq
heid-coont (3) - 66 freq
heid-yin (3) - 2 freq
heidlaun (3) - 1 freq
sit-doun (3) - 1 freq
hard-goin (4) - 1 freq
heid- (4) - 1 freq
heided (4) - 35 freq
dreep-doun (4) - 1 freq
heidded (4) - 1 freq
hert-fou (4) - 1 freq
hedgin-roun (4) - 1 freq
heid-dress (4) - 1 freq
eildon (4) - 3 freq
evendoun (4) - 11 freq
heidlan (4) - 1 freq
heid-rigg (4) - 1 freq
held-gauin (4) - 3 freq
hideous (4) - 7 freq
heid-stane (4) - 1 freq
hey-you (4) - 1 freq
heid-doun (0) - 3 freq
heid-doon (1) - 1 freq
heid-on (3) - 1 freq
heid-yin (4) - 2 freq
deid-duin (4) - 1 freq
hidden (5) - 70 freq
hiddin (5) - 1 freq
sit-doun (5) - 1 freq
heid-quine (5) - 1 freq
heid-coont (5) - 66 freq
pit-doun (5) - 1 freq
heidlaun (5) - 1 freq
hiddlin (6) - 4 freq
kid-on (6) - 8 freq
heidsman (6) - 2 freq
heidspin (6) - 2 freq
heid-yins (6) - 1 freq
hadden (6) - 3 freq
heid-gie (6) - 1 freq
hard-won (6) - 2 freq
hair-do (6) - 2 freq
hard-on (6) - 1 freq
haddin (6) - 15 freq
heiddae (6) - 2 freq
heid-at (6) - 1 freq
SoundEx code - H350
haudin - 380 freq
hadna - 113 freq
heatin - 17 freq
hauden - 49 freq
hidna - 103 freq
hidin - 81 freq
hidnae - 55 freq
hittin - 39 freq
hadnae - 186 freq
heidin - 59 freq
huddin - 23 freq
hauden-awa - 1 freq
hawdin - 8 freq
headin - 46 freq
haedna - 49 freq
hudden - 3 freq
hoddin - 3 freq
haitin - 7 freq
heid-doun - 3 freq
hidden - 70 freq
hootin - 4 freq
hudnae - 62 freq
hatton - 1 freq
hadean - 3 freq
hodden - 8 freq
'haithen - 1 freq
haithen - 5 freq
heatin' - 6 freq
hudin' - 2 freq
heeten - 1 freq
heeden - 5 freq
heedin - 11 freq
hidin' - 1 freq
haudin' - 1 freq
heid-yin - 2 freq
hydin - 2 freq
haydn - 1 freq
heedin' - 1 freq
hedna - 75 freq
hoadin - 3 freq
hutten - 1 freq
hawddin - 1 freq
hidno - 2 freq
htm - 17 freq
heidyin - 14 freq
haednae - 8 freq
had'nae - 1 freq
heidin' - 2 freq
hidein' - 1 freq
heiden - 1 freq
heathen - 9 freq
haddan - 2 freq
hidan - 3 freq
haddin - 15 freq
hadden - 3 freq
houdin - 1 freq
heateen - 1 freq
heedan - 1 freq
hie-heid-yin - 1 freq
haaden - 2 freq
haadan - 2 freq
headan - 3 freq
houton - 1 freq
haedan - 3 freq
hatimo - 3 freq
hiddin - 1 freq
hattamoa - 2 freq
haudan - 4 freq
heid-doon - 1 freq
hoidin - 5 freq
hitin - 1 freq
haadin - 13 freq
hutton - 5 freq
heid-yin' - 1 freq
haedin - 1 freq
headone - 1 freq
hadn - 2 freq
huddin' - 1 freq
howdin - 1 freq
hauddin - 2 freq
haidna - 2 freq
hudna - 5 freq
hudny - 2 freq
'heidin' - 1 freq
hudin - 2 freq
houdini - 4 freq
hadni - 1 freq
howdien - 6 freq
hednae - 4 freq
hey-tyme - 1 freq
heid-on - 1 freq
hittn - 1 freq
heaton - 1 freq
hidn - 1 freq
hawtin - 1 freq
hatin - 2 freq
MetaPhone code - HTTN
heid-doun - 3 freq
heid-doon - 1 freq
HEID-DOUN
Time to execute Levenshtein function - 0.270232 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 - 0.596181 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 - 0.061991 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 - 0.038599 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 - 0.000883 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.