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 oonhappy in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
oonhappy (0) - 1 freq
unhappy (2) - 10 freq
€™happy (3) - 1 freq
nappy (3) - 15 freq
ooneasy (3) - 1 freq
happy (3) - 764 freq
oonaesy (3) - 4 freq
chappy (3) - 2 freq
€˜happy (3) - 2 freq
knappy (3) - 1 freq
snappy (3) - 7 freq
onhappie (3) - 1 freq
oonchancy (3) - 3 freq
'happy (3) - 7 freq
unhappt (3) - 1 freq
appy (4) - 1 freq
nippy (4) - 29 freq
tappy (4) - 1 freq
hippy (4) - 4 freq
ootlay (4) - 1 freq
ornary (4) - 1 freq
€˜nippy (4) - 3 freq
happt (4) - 14 freq
concaity (4) - 1 freq
onay (4) - 1 freq
oonhappy (0) - 1 freq
unhappy (2) - 10 freq
onhappie (3) - 1 freq
'happy (4) - 7 freq
chappy (4) - 2 freq
unhappt (4) - 1 freq
happy (4) - 764 freq
nappy (4) - 15 freq
choppy (5) - 6 freq
haippy (5) - 2 freq
napp (5) - 2 freq
unhaps (5) - 1 freq
vnhappie (5) - 2 freq
happ (5) - 4 freq
shapp (5) - 1 freq
chippy (5) - 38 freq
unhap (5) - 2 freq
shippy (5) - 1 freq
hippy (5) - 4 freq
€˜happy (5) - 2 freq
knappy (5) - 1 freq
snappy (5) - 7 freq
€™happy (5) - 1 freq
nippy (5) - 29 freq
bappy (6) - 27 freq
SoundEx code - O510
onfaw - 4 freq
oonhappy - 1 freq
oomph - 4 freq
oompa - 1 freq
onhappie - 1 freq
one-aff - 1 freq
omb - 3 freq
onby - 1 freq
onieb - 1 freq
onyb - 1 freq
onafi - 1 freq
ohhomaob - 1 freq
MetaPhone code - ONHP
oonhappy - 1 freq
onhappie - 1 freq
OONHAPPY
Time to execute Levenshtein function - 0.235515 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 - 0.525903 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 - 0.062824 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 - 0.039032 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 - 0.000944 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.