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 unhappy in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
unhappy (0) - 10 freq
unhappt (1) - 1 freq
€™happy (2) - 1 freq
nappy (2) - 15 freq
snappy (2) - 7 freq
happy (2) - 764 freq
knappy (2) - 1 freq
chappy (2) - 2 freq
oonhappy (2) - 1 freq
'happy (2) - 7 freq
unhaps (2) - 1 freq
unhap (2) - 2 freq
untappd (2) - 1 freq
€˜happy (2) - 2 freq
uncanny (3) - 9 freq
vnhappie (3) - 2 freq
scrappy (3) - 4 freq
happ (3) - 4 freq
chippy (3) - 38 freq
crappy (3) - 6 freq
sappy (3) - 19 freq
yappy (3) - 1 freq
happs (3) - 2 freq
unhailly (3) - 1 freq
uphaly (3) - 1 freq
unhappy (0) - 10 freq
oonhappy (2) - 1 freq
unhappt (2) - 1 freq
'happy (3) - 7 freq
unhap (3) - 2 freq
unhaps (3) - 1 freq
chappy (3) - 2 freq
nappy (3) - 15 freq
onhappie (3) - 1 freq
happy (3) - 764 freq
hippy (4) - 4 freq
chippy (4) - 38 freq
shapp (4) - 1 freq
napp (4) - 2 freq
happ (4) - 4 freq
shippy (4) - 1 freq
untappd (4) - 1 freq
knappy (4) - 1 freq
snappy (4) - 7 freq
€™happy (4) - 1 freq
nippy (4) - 29 freq
€˜happy (4) - 2 freq
vnhappie (4) - 2 freq
choppy (4) - 6 freq
haippy (4) - 2 freq
SoundEx code - U510
unhappy - 10 freq
unwyve - 2 freq
unhap - 2 freq
€˜unhappie - 1 freq
uymihoowhv - 1 freq
MetaPhone code - UNHP
unhappy - 10 freq
unhap - 2 freq
€˜unhappie - 1 freq
UNHAPPY
Time to execute Levenshtein function - 0.183766 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 - 0.364629 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 - 0.027345 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 - 0.039035 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 - 0.000889 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.