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 having in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
having (0) - 61 freq
havins (1) - 1 freq
raving (1) - 2 freq
hawing (1) - 1 freq
paving (1) - 1 freq
heving (1) - 1 freq
shaving (1) - 3 freq
haeing (1) - 4 freq
ha'ing (1) - 1 freq
havin (1) - 73 freq
huving (1) - 1 freq
saving (1) - 5 freq
heaving (1) - 1 freq
hiving (1) - 1 freq
havin' (1) - 1 freq
'having (1) - 1 freq
waving (1) - 9 freq
happing (2) - 1 freq
racing (2) - 18 freq
hain (2) - 63 freq
hevins (2) - 1 freq
shoving (2) - 2 freq
hains (2) - 5 freq
hacin (2) - 2 freq
hoping (2) - 31 freq
having (0) - 61 freq
heaving (1) - 1 freq
huving (1) - 1 freq
heving (1) - 1 freq
hiving (1) - 1 freq
waving (2) - 9 freq
saving (2) - 5 freq
'having (2) - 1 freq
havin (2) - 73 freq
havin' (2) - 1 freq
havins (2) - 1 freq
ha'ing (2) - 1 freq
raving (2) - 2 freq
hawing (2) - 1 freq
haeing (2) - 4 freq
paving (2) - 1 freq
shaving (2) - 3 freq
havena (3) - 2 freq
healing (3) - 7 freq
havens (3) - 1 freq
huvin' (3) - 1 freq
hiring (3) - 1 freq
hevin (3) - 20 freq
havent (3) - 3 freq
hang (3) - 48 freq
SoundEx code - H152
happens - 207 freq
heivens - 19 freq
heiven's - 5 freq
happiness - 59 freq
hivvens - 14 freq
having - 61 freq
hauf-angert - 1 freq
hauf-fancied - 1 freq
'hivvens - 1 freq
heaven's - 6 freq
heaven-sent - 3 freq
heivins - 2 freq
haevins - 1 freq
havins - 1 freq
hauf-masked - 1 freq
heavens - 19 freq
hoping - 31 freq
hivvans - 2 freq
hypnosis - 3 freq
hauf-hingit - 1 freq
hvammsford - 2 freq
havns - 1 freq
heivens'll - 1 freq
hauf-misglimmit - 1 freq
hippens - 5 freq
huving - 1 freq
heaviness - 2 freq
hauf-nyaakit - 1 freq
hauf-mast - 3 freq
heppens - 4 freq
heivenis - 1 freq
haiven's - 1 freq
haivens - 2 freq
happence - 1 freq
hauf-naukit - 2 freq
hauf-inched - 2 freq
heevens - 16 freq
happinesses - 1 freq
ha''pnies - 1 freq
'having - 1 freq
hipbones - 1 freq
happienes - 3 freq
heevins - 4 freq
havens - 1 freq
hippins - 3 freq
hievins - 1 freq
haippens - 2 freq
hevins - 1 freq
happenchance - 2 freq
hiving - 1 freq
ha'pennies - 1 freq
happing - 1 freq
houping - 1 freq
hauf-uncle - 1 freq
hievens - 4 freq
happins - 3 freq
houbinsaeter - 1 freq
hauf-meisur - 1 freq
hapens - 1 freq
hoofing - 8 freq
heving - 1 freq
hoofnest - 1 freq
huffingtonpost - 1 freq
hboywmznje - 1 freq
heefins - 1 freq
heaving - 1 freq
MetaPhone code - HFNK
having - 61 freq
huving - 1 freq
'having - 1 freq
hiving - 1 freq
hoofing - 8 freq
heving - 1 freq
heaving - 1 freq
HAVING
have - 1251 freq
had - 4994 freq
hid - 3439 freq
hae - 8068 freq
haes - 1898 freq
has - 1383 freq
hes - 482 freq
hus - 464 freq
his - 17253 freq
hud - 1321 freq
huv - 1243 freq
hiv - 1177 freq
haed - 1599 freq
hed - 1155 freq
hain - 63 freq
haein - 661 freq
having - 61 freq
ve - 41 freq
Time to execute Levenshtein function - 0.305920 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 - 0.556349 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 - 0.040364 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 - 0.044830 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 - 0.001085 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.