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 fawin in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
fawin (0) - 88 freq
fawin' (1) - 1 freq
fawen (1) - 9 freq
facin (1) - 33 freq
fa-in (1) - 1 freq
gawin (1) - 26 freq
awin (1) - 5 freq
fadin (1) - 20 freq
mawin (1) - 2 freq
yawin (1) - 1 freq
faain (1) - 60 freq
farin (1) - 10 freq
sawin (1) - 11 freq
fa'in (1) - 20 freq
fakin (1) - 3 freq
dawin (1) - 32 freq
fawn (1) - 24 freq
flawin (1) - 1 freq
cawin (1) - 62 freq
fawit (1) - 2 freq
hawin (1) - 2 freq
faw'n (1) - 2 freq
pawin (1) - 3 freq
lawin (1) - 2 freq
jawin (1) - 2 freq
fawin (0) - 88 freq
fawn (1) - 24 freq
fawen (1) - 9 freq
flawin (2) - 1 freq
cawin (2) - 62 freq
dawin (2) - 32 freq
fawit (2) - 2 freq
faw'n (2) - 2 freq
fain (2) - 44 freq
lawin (2) - 2 freq
pawin (2) - 3 freq
fakin (2) - 3 freq
hawin (2) - 2 freq
jawin (2) - 2 freq
gawin (2) - 26 freq
awin (2) - 5 freq
fa-in (2) - 1 freq
fawin' (2) - 1 freq
fa'in (2) - 20 freq
fadin (2) - 20 freq
facin (2) - 33 freq
sawin (2) - 11 freq
mawin (2) - 2 freq
faain (2) - 60 freq
yawin (2) - 1 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
FAWIN
Time to execute Levenshtein function - 0.183213 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 - 0.335489 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 - 0.028034 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 - 0.037852 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 - 0.000963 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.