A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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

Similar words to hiraeth in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hiraeth (0) - 1 freq
braeth (2) - 26 freq
herdeth (2) - 1 freq
hirth (2) - 1 freq
traets (3) - 1 freq
hiprah (3) - 2 freq
graith (3) - 128 freq
giveth (3) - 2 freq
irate (3) - 1 freq
greth (3) - 1 freq
haet (3) - 66 freq
traety (3) - 1 freq
health (3) - 131 freq
lieth (3) - 2 freq
heath (3) - 2 freq
a'daeth (3) - 1 freq
thraet (3) - 2 freq
yirth (3) - 41 freq
pirket (3) - 1 freq
irth (3) - 37 freq
firth (3) - 44 freq
raith (3) - 9 freq
anaeth (3) - 1 freq
harnesh (3) - 1 freq
birth (3) - 92 freq
hiraeth (0) - 1 freq
hirth (2) - 1 freq
hairth (3) - 26 freq
herth (3) - 3 freq
hearth (3) - 30 freq
braeth (3) - 26 freq
herdeth (3) - 1 freq
praith (4) - 1 freq
brath (4) - 1 freq
wirth (4) - 89 freq
birth (4) - 92 freq
halth (4) - 10 freq
airth (4) - 11 freq
wraith (4) - 17 freq
wrath (4) - 19 freq
hateth (4) - 1 freq
freeth (4) - 2 freq
braethe (4) - 6 freq
hurtet (4) - 2 freq
gareth (4) - 2 freq
braith (4) - 215 freq
breeth (4) - 7 freq
eirth (4) - 1 freq
health (4) - 131 freq
mirth (4) - 10 freq
SoundEx code - H630
heard - 1263 freq
hard - 782 freq
hairt - 341 freq
herd - 157 freq
hert - 762 freq
hertie - 11 freq
haurd - 150 freq
haerd - 26 freq
hurrit - 11 freq
hurt - 115 freq
haird - 124 freq
hearth - 30 freq
hurried - 57 freq
hearty - 9 freq
heart - 171 freq
'hard - 2 freq
'here't - 1 freq
here't - 2 freq
hired - 27 freq
hurrayed - 1 freq
hairty - 3 freq
haired - 5 freq
hearit - 2 freq
huird - 2 freq
hairdo - 3 freq
hair-do - 2 freq
herrit - 1 freq
heairt - 1 freq
harit - 1 freq
harried - 6 freq
hairth - 26 freq
howard - 4 freq
hardy - 22 freq
hear't - 33 freq
herty - 9 freq
haert - 43 freq
heared - 14 freq
hairriet - 2 freq
hird - 27 freq
hoard - 9 freq
heyrd - 3 freq
haard - 17 freq
heryd - 1 freq
horatio - 2 freq
hirth - 1 freq
hirada - 1 freq
heired - 3 freq
heerd - 93 freq
hair-dye - 4 freq
heirt - 4 freq
harriet - 1 freq
hurriet - 4 freq
hart - 28 freq
hardie - 26 freq
herod - 49 freq
hoord - 3 freq
hairtie - 1 freq
hurdie - 4 freq
he'ard - 1 freq
her'd - 1 freq
herriet - 4 freq
horreed - 1 freq
hrt - 1 freq
heered - 2 freq
hert- - 1 freq
horrid - 9 freq
heard- - 1 freq
hærth - 1 freq
horde - 1 freq
heir'd - 1 freq
hort - 5 freq
herth - 3 freq
hearadh - 1 freq
he'rt - 4 freq
harraed - 2 freq
hered - 2 freq
herried - 4 freq
€˜heart - 1 freq
€˜hert - 2 freq
harte - 1 freq
harrit - 1 freq
hairrit - 1 freq
h'ard - 1 freq
€œhard - 2 freq
hiraeth - 1 freq
harrot - 3 freq
hir't - 1 freq
hared - 1 freq
€˜hairt - 1 freq
‘hard - 2 freq
hurdy - 1 freq
hurd - 2 freq
heird - 1 freq
MetaPhone code - HR0
hearth - 30 freq
hairth - 26 freq
hirth - 1 freq
herth - 3 freq
hiraeth - 1 freq
HIRAETH
Time to execute Levenshtein function - 0.182907 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 - 0.382717 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 - 0.037464 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 - 0.043380 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 - 0.000799 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.