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 aff-white in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
aff-white (0) - 1 freq
all-white (2) - 1 freq
saft-white (2) - 1 freq
aff-there (3) - 1 freq
aff-piste (3) - 1 freq
a-while (3) - 2 freq
aff-pit (3) - 6 freq
half-wit (4) - 1 freq
dog-shite (4) - 1 freq
dug-shite (4) - 1 freq
affshuit (4) - 1 freq
ane-nite (4) - 1 freq
aftwhiles (4) - 3 freq
a while (4) - 1 freq
tesswhite (4) - 1 freq
aff-limits (4) - 2 freq
aff-warld (4) - 13 freq
near-white (4) - 1 freq
blue-white (4) - 1 freq
aff-centre (4) - 1 freq
chaak-white (4) - 2 freq
aff-han (4) - 1 freq
affshore (4) - 2 freq
awhie (4) - 2 freq
affline (4) - 2 freq
aff-white (0) - 1 freq
saft-white (4) - 1 freq
all-white (4) - 1 freq
aff-piste (5) - 1 freq
aff-pit (5) - 6 freq
aff-there (5) - 1 freq
lyke-white (6) - 1 freq
aff-han (6) - 1 freq
rosy-white (6) - 1 freq
aff-cut (6) - 1 freq
blue-white (6) - 1 freq
grey-white (6) - 1 freq
blae-white (6) - 1 freq
near-white (6) - 1 freq
a-while (6) - 2 freq
lily-white (6) - 2 freq
affshuit (6) - 1 freq
snawwhite (7) - 1 freq
aff-chance (7) - 1 freq
off-beat (7) - 1 freq
hauf-shut (7) - 2 freq
snaw-white (7) - 13 freq
daith-white (7) - 1 freq
iainrwhite (7) - 1 freq
'white (7) - 2 freq
SoundEx code - A130
aboot - 10010 freq
'awbody - 4 freq
awbody - 266 freq
about - 686 freq
'aboot - 10 freq
aabody - 342 freq
avoid - 57 freq
aboit - 1 freq
aboot' - 3 freq
aabodie - 33 freq
aft - 69 freq
a'body - 24 freq
apt - 45 freq
abooot - 2 freq
awb'dy - 2 freq
aabiddy - 1 freq
abody - 90 freq
abide - 15 freq
abodie - 2 freq
abdy - 31 freq
aabdy - 9 freq
abate - 3 freq
abid - 1 freq
abbot - 5 freq
aabeit - 3 freq
aboat - 2 freq
aift - 14 freq
abudee - 10 freq
abudy - 11 freq
abuddee - 1 freq
awbuddee - 1 freq
awbudee - 5 freq
awbudy - 6 freq
abyde - 2 freq
awbeit - 9 freq
abdie - 1 freq
awbodie - 37 freq
ab'd - 1 freq
awbuddie - 15 freq
awboady - 1 freq
ahbuddie - 3 freq
afuit - 3 freq
abet - 1 freq
awboadie - 3 freq
abiud - 4 freq
abot - 1 freq
'aabody - 1 freq
afte - 1 freq
avodd - 1 freq
awfte - 1 freq
aff-white - 1 freq
afta - 1 freq
af't - 1 freq
abiddy - 28 freq
a'biddy - 2 freq
aff-pit - 6 freq
apathy - 8 freq
aabody' - 1 freq
awfid - 1 freq
abode' - 1 freq
a'bdy - 3 freq
aa-but - 1 freq
awbidy - 2 freq
abit - 1 freq
abaot - 1 freq
€˜abide - 1 freq
abott - 2 freq
afoot - 1 freq
abaat - 1 freq
abaaht - 1 freq
awbdy - 8 freq
abidy - 36 freq
aabudy - 1 freq
abd - 2 freq
awbuddy - 5 freq
abittie - 1 freq
avowed - 1 freq
aebody - 1 freq
afouth - 1 freq
€œaabody - 2 freq
€œaboot - 1 freq
aff-the-wa - 1 freq
apd - 2 freq
afft - 1 freq
apoot - 1 freq
abaht - 2 freq
abeit - 1 freq
a'bidy - 8 freq
€œabdee - 1 freq
abdee - 1 freq
aabidy - 2 freq
aÂ’body - 8 freq
aÂ’bidy - 6 freq
aywuypvbwd - 1 freq
ab'dy - 3 freq
ayepad - 1 freq
ahbody - 6 freq
abut - 1 freq
abootÂ’ - 1 freq
a'aboot - 1 freq
aab'dy - 1 freq
awebody - 10 freq
appt - 1 freq
awebuddy - 1 freq
MetaPhone code - AFHT
aff-white - 1 freq
AFF-WHITE
Time to execute Levenshtein function - 0.214257 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 - 0.392258 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 - 0.027807 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 - 0.037368 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 - 0.000885 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.