A Corpus of 21st Century Scots Texts

Intro a b c d e f g h i j k l m n o p q r s t u v w x y z Texts Writers Statistics Top200 Search Compare

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 having in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
having (0) - 59 freq
'having (1) - 1 freq
paving (1) - 1 freq
haeing (1) - 4 freq
heaving (1) - 1 freq
hiving (1) - 1 freq
heving (1) - 1 freq
havin' (1) - 1 freq
ha'ing (1) - 1 freq
waving (1) - 8 freq
hawing (1) - 1 freq
shaving (1) - 3 freq
saving (1) - 4 freq
huving (1) - 1 freq
havins (1) - 1 freq
raving (1) - 2 freq
havin (1) - 67 freq
hiding (2) - 12 freq
saying (2) - 107 freq
giving (2) - 25 freq
fading (2) - 7 freq
harsing (2) - 1 freq
paying (2) - 13 freq
happing (2) - 1 freq
taking (2) - 43 freq
having (0) - 59 freq
heving (1) - 1 freq
huving (1) - 1 freq
hiving (1) - 1 freq
heaving (1) - 1 freq
shaving (2) - 3 freq
saving (2) - 4 freq
raving (2) - 2 freq
havins (2) - 1 freq
hawing (2) - 1 freq
havin (2) - 67 freq
paving (2) - 1 freq
waving (2) - 8 freq
haeing (2) - 4 freq
'having (2) - 1 freq
ha'ing (2) - 1 freq
havin' (2) - 1 freq
loving (3) - 27 freq
havent (3) - 3 freq
hevin (3) - 20 freq
havana (3) - 1 freq
haining (3) - 6 freq
havens (3) - 1 freq
hing (3) - 567 freq
haevins (3) - 1 freq
SoundEx code - H152
happens - 204 freq
heivens - 19 freq
heiven's - 5 freq
happiness - 56 freq
hivvens - 14 freq
having - 59 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 - 18 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 - 59 freq
huving - 1 freq
'having - 1 freq
hiving - 1 freq
hoofing - 8 freq
heving - 1 freq
heaving - 1 freq
HAVING
have - 1198 freq
had - 4968 freq
hid - 3407 freq
hae - 8019 freq
haes - 1895 freq
has - 1352 freq
hes - 482 freq
hus - 456 freq
his - 17050 freq
hud - 1280 freq
huv - 1162 freq
hiv - 1171 freq
haed - 1597 freq
hed - 1101 freq
hain - 63 freq
haein - 658 freq
having - 59 freq
Time to execute Levenshtein function - 0.257348 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 - 0.383215 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 - 0.034686 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 - 0.048963 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 - 0.001186 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.