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 hackney in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hackney (0) - 2 freq
hackneys (1) - 1 freq
hacklet (2) - 1 freq
hackles (2) - 3 freq
hockey (2) - 8 freq
cockney (2) - 8 freq
ackley (2) - 1 freq
hackie (2) - 4 freq
hacket (2) - 1 freq
hacked (2) - 9 freq
hackneyed (2) - 2 freq
jacky (3) - 1 freq
acne (3) - 3 freq
tacked (3) - 2 freq
handy (3) - 56 freq
hokey (3) - 2 freq
heckled (3) - 1 freq
hained (3) - 27 freq
tackie (3) - 2 freq
bakey (3) - 1 freq
hickled (3) - 1 freq
wasney (3) - 1 freq
fakey (3) - 1 freq
wackened (3) - 1 freq
haines (3) - 1 freq
hackney (0) - 2 freq
hackneys (2) - 1 freq
hacket (3) - 1 freq
hacked (3) - 9 freq
hackneyed (3) - 2 freq
hackin (3) - 7 freq
hackie (3) - 4 freq
hocken (3) - 1 freq
hockey (3) - 8 freq
cockney (3) - 8 freq
huckle (4) - 11 freq
hocked (4) - 1 freq
heckle (4) - 2 freq
hecky (4) - 14 freq
hackt (4) - 1 freq
hacin (4) - 2 freq
harken (4) - 7 freq
lacken (4) - 1 freq
hack (4) - 14 freq
ehucken (4) - 1 freq
hackit (4) - 49 freq
hacks (4) - 3 freq
hockin (4) - 4 freq
tacken (4) - 2 freq
hickory (4) - 3 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 - HKN
hookin - 2 freq
howkin - 59 freq
haakon - 3 freq
hoggin - 2 freq
hawkin - 3 freq
hackin - 7 freq
huggin - 9 freq
hickin' - 1 freq
howkan - 2 freq
hokin - 11 freq
hockin - 4 freq
haaken' - 1 freq
hocken - 1 freq
hikin - 1 freq
haikin - 8 freq
haekin - 1 freq
haggin' - 1 freq
hoakin - 1 freq
haggin - 3 freq
hackney - 2 freq
huggan - 2 freq
higuian - 1 freq
hogan - 1 freq
HACKNEY
Time to execute Levenshtein function - 0.228235 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 - 0.375118 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 - 0.027692 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 - 0.036582 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 - 0.000852 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.