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 taksna in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
taksna (0) - 1 freq
takna (1) - 2 freq
taken' (2) - 1 freq
takawa (2) - 2 freq
takin' (2) - 10 freq
tak'n (2) - 1 freq
taken (2) - 122 freq
taking (2) - 42 freq
hasna (2) - 29 freq
taks' (2) - 2 freq
hausna (2) - 1 freq
haesna (2) - 53 freq
daesna (2) - 71 freq
taks (2) - 458 freq
takins (2) - 2 freq
takin (2) - 453 freq
taka (2) - 2 freq
takan (2) - 10 freq
pasna (2) - 1 freq
wasna (2) - 80 freq
twesna (2) - 1 freq
patina (3) - 1 freq
taakin (3) - 107 freq
akin (3) - 12 freq
kanna (3) - 1 freq
taksna (0) - 1 freq
takna (2) - 2 freq
twesna (3) - 1 freq
taks' (3) - 2 freq
taks (3) - 458 freq
takin (3) - 453 freq
tak'n (3) - 1 freq
taken (3) - 122 freq
takan (3) - 10 freq
takkin (4) - 508 freq
tiks (4) - 1 freq
takes (4) - 137 freq
toks (4) - 1 freq
taison (4) - 1 freq
tak'in (4) - 1 freq
tamson (4) - 32 freq
tokin (4) - 4 freq
aksin (4) - 13 freq
taisin (4) - 1 freq
taiken (4) - 7 freq
token (4) - 12 freq
tuaks (4) - 1 freq
taeks (4) - 1 freq
taikin (4) - 1 freq
tkkun (4) - 1 freq
SoundEx code - T250
teachin - 163 freq
thoosan - 114 freq
takkin - 508 freq
touchin - 45 freq
takin - 453 freq
token - 12 freq
taken - 122 freq
tossin - 18 freq
takken - 15 freq
tiggin - 2 freq
teasin - 9 freq
tichin - 1 freq
taksna - 1 freq
tookna - 1 freq
tokin - 4 freq
tuckin - 9 freq
tookin - 2 freq
takin' - 10 freq
teasin' - 1 freq
thousan - 44 freq
thoosin - 1 freq
techno - 3 freq
tisen - 1 freq
theikin - 2 freq
takan - 10 freq
taison - 1 freq
tuggin - 7 freq
taikin - 1 freq
thoosen - 2 freq
tikken - 6 freq
taykeen - 1 freq
tak'n - 1 freq
thoosan' - 1 freq
tickin - 8 freq
twesna - 1 freq
taakin - 107 freq
taxin - 8 freq
thickin - 1 freq
ticino - 1 freq
taggin - 3 freq
teason - 2 freq
taichin - 11 freq
tak'in - 1 freq
tichen - 3 freq
tackin - 1 freq
tizin-wye - 1 freq
tizin - 3 freq
takkan - 14 freq
'techno' - 1 freq
touchan - 7 freq
tuscan - 3 freq
tuscanie - 1 freq
twasum - 18 freq
tisan - 2 freq
tuck-in - 1 freq
twiggin - 1 freq
thakin - 1 freq
tacn - 2 freq
tickan - 2 freq
tossan - 4 freq
taakan - 2 freq
taisin - 1 freq
teachin' - 10 freq
thickham - 1 freq
t'ken - 2 freq
takna - 2 freq
tooken - 1 freq
tackan - 1 freq
taiken - 7 freq
'tswana - 1 freq
taukin - 3 freq
teachan - 1 freq
twasome - 1 freq
teacheen - 1 freq
tyeukna - 1 freq
taken' - 1 freq
thiggin - 2 freq
€œtakkin - 1 freq
tocum - 1 freq
'twisna - 1 freq
tacchini - 1 freq
€œteachin - 1 freq
texin - 1 freq
tigh'en - 1 freq
tweakin - 1 freq
tacken - 2 freq
tjnwe - 1 freq
tsmh - 1 freq
tsgm - 1 freq
tkkun - 1 freq
MetaPhone code - TKSN
taksna - 1 freq
dickson - 12 freq
taxin - 8 freq
texin - 1 freq
dixon - 1 freq
TAKSNA
Time to execute Levenshtein function - 0.194431 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 - 0.360055 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 - 0.029059 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 - 0.037535 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 - 0.000895 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.