A Corpus of 21st Century Scots Texts

Intro a b c d e f g h i j k l m n o p q r s t u v w x y z Texts Writers Statistics Top200 Search Compare

Levenshtein Distance

Enter a word to find nearest neighbouring words, for example sonsie

- basic concord - pre-sorted concord - post-sorted concord - map and chronology - chronogrid - fine-grain concord -

Similar words to hornis in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hornis (0) - 2 freq
hornes (1) - 2 freq
horsis (1) - 3 freq
cornis (1) - 1 freq
horns (1) - 43 freq
hornies (1) - 1 freq
hornie (1) - 5 freq
horn's (1) - 2 freq
horses (2) - 113 freq
fornit (2) - 1 freq
horssis (2) - 4 freq
mornins (2) - 35 freq
hounds (2) - 3 freq
hernia (2) - 1 freq
hoarnit (2) - 1 freq
tounis (2) - 1 freq
hons (2) - 1 freq
hornie's (2) - 1 freq
hornets (2) - 1 freq
morns (2) - 7 freq
morris (2) - 14 freq
harris (2) - 14 freq
harnish (2) - 2 freq
horned (2) - 2 freq
sonnis (2) - 1 freq
hornis (0) - 2 freq
hornies (1) - 1 freq
hornes (1) - 2 freq
horns (1) - 43 freq
hoarns (2) - 2 freq
herns (2) - 1 freq
harns (2) - 52 freq
horn's (2) - 2 freq
cornis (2) - 1 freq
horsis (2) - 3 freq
hornie (2) - 5 freq
horss (3) - 22 freq
haris (3) - 1 freq
thorns (3) - 20 freq
hornier (3) - 1 freq
horner (3) - 2 freq
heris (3) - 1 freq
herons (3) - 3 freq
norns (3) - 7 freq
horn (3) - 59 freq
horensia (3) - 1 freq
barnis (3) - 1 freq
horne (3) - 2 freq
corns (3) - 1 freq
horus (3) - 1 freq
SoundEx code - H652
harness - 14 freq
harns - 52 freq
horns - 43 freq
heronious - 3 freq
harm's - 1 freq
hairy-maggie - 25 freq
hairymaggie - 2 freq
hairy-maggie's - 1 freq
hornygollach - 4 freq
horn-spuin - 1 freq
hermes - 7 freq
herring - 3 freq
hernesses - 1 freq
herness-room - 1 freq
herring' - 1 freq
hornis - 2 freq
herns - 1 freq
hearins - 1 freq
horn's - 2 freq
herrin's - 1 freq
hearing - 24 freq
horniegolochs - 1 freq
horensia - 1 freq
horniegolloch - 1 freq
hoarns - 2 freq
harangue - 1 freq
hairm's - 3 freq
hiring - 1 freq
hairns - 8 freq
harrowing - 1 freq
hermogenes - 2 freq
herm's - 3 freq
harnish - 2 freq
herron's - 1 freq
hornes - 2 freq
hornjer - 1 freq
hornygulloch - 1 freq
hairms - 2 freq
heroines - 1 freq
harn-guddled - 1 freq
harnessed - 4 freq
hornie's - 1 freq
herons - 3 freq
hernishis - 1 freq
hooer-maister - 1 freq
hoormaisters - 1 freq
hurrying - 1 freq
horny-gollachs - 2 freq
hornygollachs - 1 freq
harness-room - 5 freq
harems - 1 freq
herrins - 2 freq
harnesh - 1 freq
harrans - 1 freq
hoor-maister - 1 freq
hernhogs - 1 freq
harryingolfsson - 11 freq
hairyangus - 9 freq
hornycol - 2 freq
hornies - 1 freq
harrymaguire - 1 freq
hermiston - 1 freq
MetaPhone code - HRNS
harness - 14 freq
harns - 52 freq
horns - 43 freq
heronious - 3 freq
hornis - 2 freq
herns - 1 freq
hearins - 1 freq
horn's - 2 freq
herrin's - 1 freq
hoarns - 2 freq
hairns - 8 freq
herron's - 1 freq
hornes - 2 freq
heroines - 1 freq
hornie's - 1 freq
herons - 3 freq
herrins - 2 freq
harrans - 1 freq
hornies - 1 freq
HORNIS
Time to execute Levenshtein function - 0.195928 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 - 0.413656 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 - 0.029611 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 - 0.076682 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 - 0.001169 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.