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 onfaw in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
onfaw (0) - 4 freq
onfaws (1) - 2 freq
onay (2) - 1 freq
ona (2) - 14 freq
dounfaw (2) - 5 freq
naw (2) - 895 freq
knaw (2) - 16 freq
ontac (2) - 2 freq
anaw (2) - 195 freq
offay (2) - 1 freq
confab (2) - 4 freq
an-aw (2) - 17 freq
annaw (2) - 2 freq
offae (2) - 1 freq
onnay (2) - 1 freq
ongan (2) - 2 freq
ontae (2) - 343 freq
offal (2) - 2 freq
onna (2) - 18 freq
'naw (2) - 166 freq
befaw (2) - 3 freq
inaw (2) - 7 freq
snaw (2) - 185 freq
pnfw (2) - 1 freq
ontak (2) - 33 freq
onfaw (0) - 4 freq
onfaws (2) - 2 freq
annaw (3) - 2 freq
ootfaw (3) - 1 freq
an-aw (3) - 17 freq
inaw (3) - 7 freq
befaw (3) - 3 freq
pnfw (3) - 1 freq
faw (3) - 144 freq
dounfaw (3) - 5 freq
anaw (3) - 195 freq
naw (3) - 895 freq
niaw (3) - 1 freq
now (4) - 721 freq
enyow (4) - 2 freq
infamy (4) - 5 freq
onyhow (4) - 9 freq
enow (4) - 5 freq
oonfair (4) - 1 freq
infur (4) - 1 freq
infer (4) - 1 freq
unfair (4) - 10 freq
onafi (4) - 1 freq
onywi (4) - 3 freq
inlow (4) - 1 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 - ONF
onfaw - 4 freq
one-aff - 1 freq
oonagh - 3 freq
onafi - 1 freq
ONFAW
Time to execute Levenshtein function - 0.162631 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 - 0.316738 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 - 0.027393 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 - 0.038548 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 - 0.000833 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.