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 hivvens in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hivvens (0) - 14 freq
hivven' (1) - 1 freq
'hivvens (1) - 1 freq
hivvans (1) - 2 freq
hivven (1) - 54 freq
hievens (1) - 4 freq
hivwvens (1) - 1 freq
hivvenly (2) - 6 freq
heevens (2) - 16 freq
heavens (2) - 19 freq
wivven (2) - 3 freq
hivved (2) - 1 freq
havens (2) - 1 freq
divven (2) - 1 freq
nivvers (2) - 1 freq
heivens (2) - 19 freq
hievins (2) - 1 freq
hippens (2) - 5 freq
hives (2) - 2 freq
divvels (2) - 2 freq
hivvan (2) - 10 freq
sivven (2) - 15 freq
hivvin (2) - 29 freq
haivens (2) - 2 freq
livveens (2) - 1 freq
hivvens (0) - 14 freq
hivvans (1) - 2 freq
hivwvens (2) - 1 freq
hivven (2) - 54 freq
hievens (2) - 4 freq
hivven' (2) - 1 freq
'hivvens (2) - 1 freq
hievins (3) - 1 freq
hivvan (3) - 10 freq
livveens (3) - 1 freq
heivens (3) - 19 freq
hivvin (3) - 29 freq
haivens (3) - 2 freq
heevens (3) - 16 freq
heavens (3) - 19 freq
havens (3) - 1 freq
hivvenly (3) - 6 freq
heevins (4) - 4 freq
divven (4) - 1 freq
hivvnae (4) - 1 freq
hevins (4) - 1 freq
huvvin (4) - 5 freq
havns (4) - 1 freq
heivenis (4) - 1 freq
heivins (4) - 2 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 - HFNS
heivens - 19 freq
heiven's - 5 freq
hivvens - 14 freq
'hivvens - 1 freq
heaven's - 6 freq
heivins - 2 freq
haevins - 1 freq
havins - 1 freq
heavens - 19 freq
hivvans - 2 freq
havns - 1 freq
heaviness - 2 freq
heivenis - 1 freq
haiven's - 1 freq
haivens - 2 freq
highnessey - 1 freq
heevens - 16 freq
heevins - 4 freq
havens - 1 freq
hievins - 1 freq
hevins - 1 freq
highness - 1 freq
hievens - 4 freq
heefins - 1 freq
HIVVENS
Time to execute Levenshtein function - 0.318239 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 - 0.521313 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 - 0.071998 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 - 0.088600 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 - 0.000950 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.