A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to hacquenee in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hacquenee (0) - 1 freq
acquent (3) - 15 freq
naequeues (4) - 1 freq
acquire (4) - 3 freq
sequence (4) - 7 freq
hastened (4) - 1 freq
havenae (4) - 20 freq
haunle (4) - 26 freq
accurense (4) - 1 freq
jacquline (4) - 1 freq
macheenes (4) - 1 freq
racquet (4) - 2 freq
hackney (4) - 2 freq
jacquel (4) - 3 freq
acquired (4) - 10 freq
acquentit (4) - 2 freq
hardened (4) - 6 freq
eloquence (4) - 3 freq
jacques (4) - 2 freq
quene (4) - 12 freq
happened (4) - 461 freq
lacquert (4) - 1 freq
hichtened (4) - 1 freq
haunel (4) - 3 freq
jacquie (4) - 1 freq
hacquenee (0) - 1 freq
hackney (5) - 2 freq
mcqueen (5) - 2 freq
acquent (5) - 15 freq
lacquer (6) - 2 freq
haenae (6) - 18 freq
jacquie (6) - 1 freq
quene (6) - 12 freq
hcen (6) - 1 freq
hackin (6) - 7 freq
acquire (6) - 3 freq
hocken (6) - 1 freq
hacin (6) - 2 freq
jacqueline (6) - 6 freq
ratqueen (6) - 1 freq
fanquine (6) - 1 freq
hackneyed (6) - 2 freq
jacques (6) - 2 freq
acquant (6) - 8 freq
jacquline (6) - 1 freq
jacquel (6) - 3 freq
havenae (6) - 20 freq
racquet (6) - 2 freq
cheenae (7) - 3 freq
queen (7) - 643 freq
SoundEx code - H250
heezin - 33 freq
hisna - 28 freq
hookin - 2 freq
hykin - 1 freq
husnae - 32 freq
heizin - 15 freq
howkin - 59 freq
haesna - 53 freq
haakon - 3 freq
hasna - 29 freq
hoggin - 2 freq
hissin - 10 freq
hisnae - 41 freq
hiznae - 1 freq
hasnae - 43 freq
hashin - 2 freq
heuchin - 1 freq
hoachin - 21 freq
hoosin - 19 freq
haesnae - 16 freq
hawkin - 3 freq
hygiene - 8 freq
hackin - 7 freq
huchin - 1 freq
huggin - 9 freq
howieson - 2 freq
hessian - 2 freq
hissen - 1 freq
hickin' - 1 freq
heisan - 1 freq
howkan - 2 freq
hacin - 2 freq
hokin - 11 freq
hoochin - 2 freq
hishin - 1 freq
haes'nae - 1 freq
hockin - 4 freq
hushin - 1 freq
haaken' - 1 freq
hocken - 1 freq
hooseen - 1 freq
hizin - 7 freq
'hooshin - 2 freq
hooshin - 1 freq
hishan - 1 freq
hixan - 1 freq
hikin - 1 freq
hooseen- - 1 freq
hissan - 1 freq
haikin - 8 freq
hajany - 1 freq
housin - 5 freq
hesnae - 1 freq
haekin - 1 freq
hesna - 12 freq
hosanna - 2 freq
hechin - 3 freq
hsuan - 1 freq
haggin' - 1 freq
houchin - 1 freq
hookem - 1 freq
hassan - 1 freq
hussein - 1 freq
hasn - 3 freq
hissin' - 1 freq
hasni - 1 freq
hsun - 2 freq
hsin - 3 freq
€œhsien - 8 freq
hsien - 219 freq
hausin - 2 freq
hoakin - 1 freq
haggin - 3 freq
hackney - 2 freq
hacquenee - 1 freq
heejun - 1 freq
houghin - 1 freq
husna - 1 freq
hoosin' - 2 freq
husny - 2 freq
hcen - 1 freq
hhsm - 1 freq
huggan - 2 freq
hesni - 1 freq
hqynu - 1 freq
higuian - 1 freq
hzqnn - 1 freq
hussain - 2 freq
his'nae - 1 freq
hxn - 1 freq
husney - 1 freq
hausna - 1 freq
heughan - 1 freq
hccm - 1 freq
heazin - 1 freq
hogan - 1 freq
hujn - 1 freq
heyjimmy - 1 freq
'hoachin' - 1 freq
hexham - 1 freq
MetaPhone code - HKKN
hacquenee - 1 freq
HACQUENEE
Time to execute Levenshtein function - 0.187287 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 - 0.388772 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 - 0.036597 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 - 0.037306 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 - 0.000930 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.