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 teachin in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
teachin (0) - 160 freq
teaching (1) - 30 freq
teachin' (1) - 10 freq
teachit (1) - 2 freq
beachin (1) - 1 freq
teachan (1) - 1 freq
teachins (1) - 4 freq
reachin (1) - 32 freq
pechin (2) - 85 freq
trackin (2) - 7 freq
teacheen (2) - 1 freq
belchin (2) - 2 freq
coachin (2) - 1 freq
keechin (2) - 5 freq
reachan (2) - 3 freq
teaches (2) - 3 freq
bleachin (2) - 4 freq
reactin (2) - 6 freq
sechin (2) - 2 freq
teached (2) - 8 freq
merchin (2) - 2 freq
etchin (2) - 1 freq
teasin (2) - 9 freq
reaching (2) - 5 freq
beachit (2) - 6 freq
teachin (0) - 160 freq
teachan (1) - 1 freq
teacheen (2) - 1 freq
tichin (2) - 1 freq
taichin (2) - 11 freq
touchin (2) - 46 freq
teaching (2) - 30 freq
reachin (2) - 32 freq
teachin' (2) - 10 freq
teachit (2) - 2 freq
beachin (2) - 1 freq
etchin (2) - 1 freq
teachins (2) - 4 freq
detachin (3) - 1 freq
teach (3) - 84 freq
hechin (3) - 3 freq
seichin (3) - 2 freq
laachin (3) - 27 freq
techie (3) - 4 freq
teechis (3) - 1 freq
stechin (3) - 7 freq
tackin (3) - 1 freq
achin (3) - 14 freq
heuchin (3) - 1 freq
hoachin (3) - 19 freq
SoundEx code - T250
teachin - 160 freq
thoosan - 114 freq
takkin - 507 freq
touchin - 46 freq
takin - 441 freq
token - 11 freq
taken - 114 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 - 8 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
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 - TXN
teachin - 160 freq
touchin - 46 freq
tichin - 1 freq
dashin - 7 freq
tuition - 7 freq
techno - 3 freq
dishin - 12 freq
taichin - 11 freq
tichen - 3 freq
dooshin - 1 freq
'techno' - 1 freq
touchan - 7 freq
dashan - 1 freq
teachin' - 10 freq
teachan - 1 freq
teacheen - 1 freq
titchin - 2 freq
titian - 1 freq
€œteachin - 1 freq
dyshin - 1 freq
dushin - 1 freq
TEACHIN
Time to execute Levenshtein function - 0.184905 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 - 0.338387 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 - 0.027035 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 - 0.037187 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 - 0.000863 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.