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 thoomit in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
thoomit (0) - 1 freq
thoomin (1) - 2 freq
thooms (2) - 8 freq
thooht (2) - 1 freq
thoomb (2) - 6 freq
whoopit (2) - 1 freq
houmit (2) - 1 freq
hoodit (2) - 1 freq
sholmit (2) - 1 freq
tholit (2) - 4 freq
shootit (2) - 1 freq
sloomit (2) - 1 freq
hootit (2) - 2 freq
thoom (2) - 12 freq
thoosin (2) - 1 freq
thoumie (2) - 1 freq
hookit (2) - 1 freq
tootit (2) - 1 freq
troopit (2) - 1 freq
thoomed (2) - 3 freq
shooit (2) - 1 freq
shoomin (2) - 1 freq
doomit (2) - 2 freq
loomit (2) - 4 freq
thoosint (2) - 2 freq
thoomit (0) - 1 freq
thoomin (2) - 2 freq
thoumie (3) - 1 freq
tholit (3) - 4 freq
houmit (3) - 1 freq
thoomb (3) - 6 freq
thooms (3) - 8 freq
thooht (3) - 1 freq
thoomed (3) - 3 freq
thoom (3) - 12 freq
athoot (4) - 319 freq
thit (4) - 568 freq
thaot (4) - 1 freq
thoum (4) - 13 freq
threit (4) - 18 freq
thait (4) - 3 freq
throat (4) - 115 freq
thrait (4) - 3 freq
shaimit (4) - 2 freq
thoct (4) - 7 freq
shamit (4) - 2 freq
thowt (4) - 97 freq
tholt (4) - 1 freq
thomas (4) - 81 freq
theikit (4) - 6 freq
SoundEx code - T530
twenty - 165 freq
thinned - 3 freq
tuned - 8 freq
tynt - 12 freq
tent - 460 freq
tend - 56 freq
twin't - 1 freq
timid - 16 freq
twinty - 162 freq
tenth - 14 freq
tentie - 38 freq
tint - 218 freq
tamed - 15 freq
thoomed - 3 freq
timed - 4 freq
then-i'd - 1 freq
tuimt - 8 freq
tuimed - 10 freq
tomata - 5 freq
teemt - 3 freq
tomatae - 10 freq
team-mate - 1 freq
tuimit - 3 freq
teem't - 4 freq
teen't - 1 freq
tounheid - 7 freq
tntae - 1 freq
tand - 1 freq
thoomit - 1 freq
tyned - 9 freq
tweenty - 1 freq
tymed - 1 freq
taunt - 2 freq
tanned - 11 freq
tomato - 4 freq
tomatoey - 1 freq
tnt - 1 freq
taimed - 1 freq
twunty - 10 freq
tnt' - 1 freq
toun-wide - 1 freq
tinned - 8 freq
tant - 1 freq
toomed - 2 freq
twintie - 7 freq
twined - 11 freq
twuntie - 8 freq
tamet - 1 freq
teemed - 21 freq
toonty - 2 freq
temid - 1 freq
tned - 1 freq
tinto - 3 freq
time-oot - 2 freq
tint' - 3 freq
tamata - 8 freq
toonheid - 1 freq
tumed - 1 freq
twinit - 6 freq
tuined - 1 freq
twyned - 3 freq
thanthay - 1 freq
tunity - 1 freq
temote - 1 freq
tinnd - 1 freq
toned - 1 freq
tonto - 5 freq
tim'tae - 1 freq
themed - 2 freq
tenty - 6 freq
tumit - 1 freq
taint - 2 freq
tømed - 1 freq
tumt - 1 freq
tyne't - 1 freq
the-intae - 2 freq
twynit - 2 freq
twantie - 2 freq
timit - 1 freq
tanta - 1 freq
taen't - 1 freq
tuim-eed - 1 freq
taand - 1 freq
twinned - 3 freq
tined - 2 freq
twanty - 3 freq
teamed - 1 freq
€˜twinty - 2 freq
tannoid - 1 freq
twinet - 2 freq
twonty - 1 freq
twentie - 1 freq
taind - 1 freq
timmd - 1 freq
thoumed - 1 freq
teammate - 1 freq
tammata - 1 freq
tonite - 6 freq
tnawdaw - 1 freq
taand' - 1 freq
timothy - 1 freq
MetaPhone code - 0MT
thoomed - 3 freq
thoomit - 1 freq
thumbit - 1 freq
themed - 2 freq
thoumed - 1 freq
THOOMIT
Time to execute Levenshtein function - 0.207708 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 - 0.361426 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 - 0.031206 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 - 0.042526 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 - 0.000956 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.