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 thousan in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
thousan (0) - 44 freq
thousand (1) - 16 freq
thousans (1) - 24 freq
thousant (1) - 4 freq
thoosan (1) - 114 freq
choosan (2) - 2 freq
thoosan' (2) - 1 freq
thoosin (2) - 1 freq
shoutan (2) - 5 freq
thousants (2) - 2 freq
thoosand (2) - 115 freq
thusa (2) - 1 freq
housin (2) - 5 freq
houpan (2) - 1 freq
thoosen (2) - 2 freq
thousands (2) - 18 freq
thomson (2) - 26 freq
thowsand (2) - 3 freq
thoan (2) - 1 freq
tossan (2) - 4 freq
thoosant (2) - 6 freq
thoosans (2) - 60 freq
hsuan (3) - 1 freq
thoumed (3) - 1 freq
througang (3) - 1 freq
thousan (0) - 44 freq
thoosan (1) - 114 freq
thousand (2) - 16 freq
thoosin (2) - 1 freq
thousans (2) - 24 freq
thoosen (2) - 2 freq
thousant (2) - 4 freq
thomson (3) - 26 freq
thoan (3) - 1 freq
thoosans (3) - 60 freq
thoosant (3) - 6 freq
tossan (3) - 4 freq
thusa (3) - 1 freq
choosan (3) - 2 freq
thoosan' (3) - 1 freq
thoosand (3) - 115 freq
housin (3) - 5 freq
ahsan (4) - 1 freq
chusin (4) - 4 freq
those (4) - 296 freq
tisan (4) - 2 freq
thamson (4) - 1 freq
thoarn (4) - 11 freq
thaun (4) - 2 freq
chasan (4) - 2 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 - 0SN
thoosan - 114 freq
thousan - 44 freq
thoosin - 1 freq
thoosen - 2 freq
thoosan' - 1 freq
THOUSAN
thoosand - 115 freq
thoosan - 114 freq
thoosans - 60 freq
thoosands - 53 freq
thoosant - 6 freq
thousant - 4 freq
thousan - 44 freq
thousans - 24 freq
thousands - 18 freq
thousand - 16 freq
Time to execute Levenshtein function - 0.195489 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 - 0.397179 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 - 0.028266 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 - 0.038629 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 - 0.001022 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.