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 hurehoose in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hurehoose (0) - 1 freq
warehoose (2) - 3 freq
whurehouse (2) - 1 freq
surhoose (2) - 1 freq
henhoose (3) - 7 freq
treehoose (3) - 3 freq
hen-hoose (3) - 13 freq
dughoose (3) - 1 freq
schulehoose (3) - 1 freq
warkhoose (3) - 2 freq
henoose (3) - 1 freq
alehoose (3) - 1 freq
fermhoose (3) - 12 freq
gorehouse (3) - 1 freq
haa-hoose (3) - 1 freq
wardhoose (3) - 1 freq
hureheon (3) - 1 freq
hethoose (3) - 1 freq
bakehoose (3) - 1 freq
het-hoose (3) - 1 freq
warehouse (3) - 1 freq
warehoos (3) - 1 freq
rmhoose (3) - 1 freq
puirhoose (3) - 1 freq
puirshoose (3) - 1 freq
hurehoose (0) - 1 freq
whurehouse (3) - 1 freq
surhoose (3) - 1 freq
warehoose (3) - 3 freq
hethoose (4) - 1 freq
warehoos (4) - 1 freq
puirhoose (4) - 1 freq
hureheon (4) - 1 freq
warehouse (4) - 1 freq
henhoose (4) - 7 freq
treehoose (4) - 3 freq
gorehouse (4) - 1 freq
haa-hoose (4) - 1 freq
rmhoose (5) - 1 freq
hures (5) - 2 freq
ecrehous (5) - 1 freq
henhouse (5) - 1 freq
muirhouse (5) - 2 freq
pooerhoose (5) - 1 freq
torhouse (5) - 1 freq
buridehoose (5) - 1 freq
puirshoose (5) - 1 freq
hen-hoose (5) - 13 freq
dughoose (5) - 1 freq
het-hoose (5) - 1 freq
SoundEx code - H620
harsh - 20 freq
hairs - 38 freq
horse - 237 freq
hears - 46 freq
here's - 269 freq
hershaw - 15 freq
hair's - 21 freq
hoarse - 30 freq
hare's - 6 freq
hers - 85 freq
hers-she - 3 freq
her's - 3 freq
hoorish - 1 freq
hours - 117 freq
'here's - 16 freq
hairse - 14 freq
herr's - 1 freq
heroes - 39 freq
heroic - 8 freq
hero's - 3 freq
hark - 15 freq
heirs - 8 freq
hairies - 4 freq
hoors - 50 freq
heres - 8 freq
hurrays - 1 freq
harry's - 8 freq
hersh - 2 freq
heroes' - 2 freq
harris - 14 freq
hor's - 1 freq
herk - 3 freq
hooers - 2 freq
hayr's - 1 freq
hures - 2 freq
hurries - 3 freq
herc - 1 freq
harz - 1 freq
hearsay - 2 freq
heros - 1 freq
horace - 23 freq
hoor's - 3 freq
hearse - 2 freq
hurs - 4 freq
hurs-she - 1 freq
hirs - 5 freq
hirs-shae - 1 freq
heresy - 3 freq
harass - 2 freq
hairy's - 3 freq
'horsey' - 1 freq
'horace - 1 freq
horace' - 1 freq
hurehoose - 1 freq
haerse - 4 freq
'hers' - 1 freq
horss - 22 freq
harsk - 3 freq
harks - 1 freq
hier's - 1 freq
horraquoy - 1 freq
hours' - 1 freq
herries - 4 freq
heyrick - 2 freq
hir's - 1 freq
hera's - 1 freq
herz - 1 freq
horse' - 1 freq
harse - 1 freq
houres - 8 freq
herks - 1 freq
hares - 14 freq
harras - 1 freq
horsie - 7 freq
'horse' - 1 freq
horus - 1 freq
haris - 1 freq
harrouis - 1 freq
hires - 1 freq
herrs - 1 freq
hrs - 13 freq
hargey - 7 freq
heris - 1 freq
here’s - 22 freq
hrxq - 1 freq
horse” - 1 freq
heers - 2 freq
hrish - 1 freq
hhroego - 1 freq
harrys - 2 freq
MetaPhone code - HRHS
hurehoose - 1 freq
HUREHOOSE
Time to execute Levenshtein function - 0.298075 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 - 0.422056 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 - 0.028121 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 - 0.038643 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 - 0.000961 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.