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 tonner in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
tonner (0) - 1 freq
tonger (1) - 1 freq
tonnel (1) - 1 freq
tinner (1) - 1 freq
wonner (1) - 5 freq
onner (1) - 3 freq
tanner (1) - 10 freq
donner (1) - 2 freq
toner (1) - 1 freq
thonner (1) - 45 freq
tenner (1) - 25 freq
aonner (1) - 1 freq
gonner (1) - 1 freq
ponner (1) - 1 freq
yonner (1) - 67 freq
conner (1) - 2 freq
tonnes (1) - 3 freq
denner (2) - 273 freq
wunner (2) - 282 freq
onnir (2) - 1 freq
tinker (2) - 21 freq
bonnet (2) - 34 freq
ponder (2) - 11 freq
sonne (2) - 1 freq
horner (2) - 2 freq
tonner (0) - 1 freq
tenner (1) - 25 freq
tinner (1) - 1 freq
tanner (1) - 10 freq
gonner (2) - 1 freq
aonner (2) - 1 freq
yonner (2) - 67 freq
conner (2) - 2 freq
ponner (2) - 1 freq
tonnes (2) - 3 freq
tonnel (2) - 1 freq
thonner (2) - 45 freq
wonner (2) - 5 freq
tonger (2) - 1 freq
onner (2) - 3 freq
toner (2) - 1 freq
donner (2) - 2 freq
rinner (3) - 13 freq
menner (3) - 4 freq
dinner (3) - 140 freq
thunner (3) - 74 freq
sinner (3) - 10 freq
tenser (3) - 1 freq
tinned (3) - 8 freq
connery (3) - 5 freq
SoundEx code - T560
thunner - 74 freq
thinner - 14 freq
the-morra - 2 freq
tanner - 10 freq
tomorrow - 41 freq
timmer - 80 freq
tenure - 4 freq
tumour - 6 freq
themorra - 24 freq
tenner - 25 freq
thonner - 45 freq
'thonner - 1 freq
thonner' - 1 freq
toner - 1 freq
timer - 6 freq
tamar - 2 freq
ten'er - 1 freq
'tamara - 1 freq
tamara - 16 freq
tamer - 2 freq
themarra - 1 freq
thoner - 2 freq
tenor - 4 freq
tuner - 1 freq
tomorrow' - 1 freq
twa-hunner - 1 freq
tonner - 1 freq
thoumire - 2 freq
thunnery - 1 freq
to-morrow - 1 freq
€˜thonner - 1 freq
tinner - 1 freq
€œtomorrow - 1 freq
tenior - 1 freq
tommorrow - 1 freq
twa-hauner - 1 freq
tamhere - 1 freq
timor - 1 freq
MetaPhone code - TNR
denner - 273 freq
'denner - 2 freq
dauner - 57 freq
deenner - 1 freq
dinner - 140 freq
tanner - 10 freq
dennir - 29 freq
daunner - 12 freq
tenure - 4 freq
dounreay - 2 freq
daenr - 2 freq
tenner - 25 freq
dainner - 3 freq
dainer - 5 freq
dunira - 3 freq
'dinner - 3 freq
toner - 1 freq
daenner - 1 freq
dunner - 6 freq
dennèr - 4 freq
ten'er - 1 freq
dan'er - 1 freq
danner - 13 freq
dannér - 1 freq
tenor - 4 freq
tuner - 1 freq
daaner - 1 freq
tonner - 1 freq
dooner - 2 freq
donor - 7 freq
diner - 1 freq
denar - 1 freq
daun'er - 1 freq
daener - 2 freq
dinnur - 1 freq
deener - 3 freq
denier - 1 freq
duneira - 7 freq
tinner - 1 freq
tenior - 1 freq
dener - 2 freq
downer - 1 freq
'denier' - 1 freq
donner - 2 freq
doner - 2 freq
TONNER
Time to execute Levenshtein function - 0.308810 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 - 0.396228 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 - 0.028752 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 - 0.042357 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 - 0.000923 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.