A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ahint

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Similar words to fawen in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
fawen (0) - 9 freq
lawen (1) - 1 freq
faaen (1) - 11 freq
faen (1) - 7 freq
faw'n (1) - 2 freq
fawin (1) - 88 freq
fa'en (1) - 4 freq
fawn (1) - 24 freq
fawed (1) - 6 freq
fave (2) - 14 freq
fakey (2) - 1 freq
sawes (2) - 1 freq
jawed (2) - 4 freq
faet (2) - 4 freq
fadan (2) - 1 freq
bajen (2) - 1 freq
'amen (2) - 2 freq
laden (2) - 13 freq
fade (2) - 41 freq
pawn (2) - 10 freq
amen (2) - 24 freq
flawin (2) - 1 freq
faa'n (2) - 8 freq
fage (2) - 1 freq
fann (2) - 1 freq
fawen (0) - 9 freq
fawin (1) - 88 freq
fawn (1) - 24 freq
faen (2) - 7 freq
lawen (2) - 1 freq
fa'en (2) - 4 freq
fawed (2) - 6 freq
faw'n (2) - 2 freq
faaen (2) - 11 freq
gawin (3) - 26 freq
fa-in (3) - 1 freq
facin (3) - 33 freq
rawn (3) - 1 freq
faw (3) - 148 freq
ewen (3) - 7 freq
owen (3) - 6 freq
faan (3) - 70 freq
yawn (3) - 12 freq
fowne (3) - 1 freq
oawn (3) - 1 freq
hawin (3) - 2 freq
bowen (3) - 1 freq
faws (3) - 60 freq
waen (3) - 2 freq
fewer (3) - 11 freq
SoundEx code - F500
fine - 1603 freq
fawin - 88 freq
fin - 1563 freq
faa'n - 8 freq
funny - 368 freq
fan - 1367 freq
faa'en - 1 freq
fin' - 14 freq
faain - 60 freq
faan - 70 freq
fun - 642 freq
fawen - 9 freq
faem - 25 freq
fen - 47 freq
funn - 25 freq
fain - 44 freq
'fine - 6 freq
feem - 11 freq
fame - 48 freq
fawn - 24 freq
foon - 7 freq
'fan - 3 freq
foun - 46 freq
fyne - 38 freq
faen - 7 freq
faim - 1 freq
foamy - 4 freq
fa'in - 20 freq
fyin - 1 freq
faaen - 11 freq
finn - 47 freq
faw'n - 2 freq
fume - 4 freq
femme - 2 freq
fouin - 1 freq
foam - 16 freq
fowne - 1 freq
feyn - 7 freq
fein - 3 freq
fone - 8 freq
fim - 4 freq
faun - 40 freq
fawin' - 1 freq
faaahnnn - 1 freq
fanny - 36 freq
'fiona - 1 freq
fuin - 4 freq
fam - 23 freq
fiona - 42 freq
fa'en - 4 freq
'-fun - 1 freq
fyn - 8 freq
feein - 4 freq
famou - 1 freq
faemy - 2 freq
foun' - 7 freq
faun' - 2 freq
fa'n - 1 freq
funie - 1 freq
fiann - 1 freq
fon - 3 freq
foan - 1 freq
fawm - 2 freq
fiown - 1 freq
fionn - 1 freq
funna - 1 freq
faa'in - 2 freq
f''an - 1 freq
f'an - 1 freq
fann - 1 freq
fauna - 3 freq
fee'in - 1 freq
'fin - 6 freq
feinn - 1 freq
€˜fan - 3 freq
€˜fane - 1 freq
fne - 1 freq
€¦fin - 2 freq
fenn - 1 freq
fonn - 1 freq
€œfine - 7 freq
€œfun - 1 freq
famie - 1 freq
€œfam - 1 freq
'fame - 1 freq
fun' - 1 freq
f-in - 1 freq
€œfin - 1 freq
fa-in - 1 freq
finnie - 1 freq
féin - 1 freq
€˜finn - 2 freq
fianna - 1 freq
fuan - 2 freq
€˜fine - 1 freq
fm - 90 freq
feehan - 1 freq
fvn - 1 freq
fn - 4 freq
fum - 1 freq
fane - 1 freq
fion - 2 freq
fino - 1 freq
femi - 1 freq
fÂ’n - 1 freq
fimo - 1 freq
fom - 2 freq
fhm - 1 freq
fine' - 1 freq
funow - 1 freq
fonuu - 1 freq
fhma - 1 freq
fami - 1 freq
finÂ’ - 1 freq
MetaPhone code - FWN
fawin - 88 freq
fawen - 9 freq
viewin - 3 freq
fawin' - 1 freq
vieween - 1 freq
viewin' - 1 freq
FAWEN
Time to execute Levenshtein function - 0.281988 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 - 0.612492 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 - 0.069907 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 - 0.039794 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 - 0.000893 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.