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 tripedog in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
tripedog (0) - 9 freq
tragedoi (3) - 1 freq
torpedos (3) - 1 freq
tripped (3) - 15 freq
tripled (3) - 1 freq
riped (3) - 2 freq
torpedo (3) - 2 freq
tripes (3) - 1 freq
griped (3) - 1 freq
striped (3) - 7 freq
tripeuk (3) - 22 freq
tripceol (3) - 1 freq
tried (3) - 668 freq
tripod (3) - 1 freq
tripe (3) - 17 freq
tripping (3) - 3 freq
gripe (4) - 5 freq
trident (4) - 18 freq
tremor (4) - 3 freq
lapdog (4) - 2 freq
gried (4) - 8 freq
tilbog (4) - 1 freq
triket (4) - 1 freq
riled (4) - 9 freq
cried (4) - 979 freq
tripedog (0) - 9 freq
tripod (4) - 1 freq
torpedos (4) - 1 freq
torpedo (4) - 2 freq
tripe (5) - 17 freq
tried (5) - 668 freq
trooped (5) - 4 freq
torpedoes (5) - 3 freq
tripceol (5) - 1 freq
tripping (5) - 3 freq
torpedoed (5) - 4 freq
tripped (5) - 15 freq
tragedoi (5) - 1 freq
tripeuk (5) - 22 freq
tripled (5) - 1 freq
riped (5) - 2 freq
striped (5) - 7 freq
griped (5) - 1 freq
tripes (5) - 1 freq
triplar (6) - 1 freq
irped (6) - 1 freq
trippt (6) - 1 freq
trated (6) - 1 freq
traipsd (6) - 1 freq
trip's (6) - 3 freq
SoundEx code - T613
threipit - 8 freq
tribute - 33 freq
terrifee'd - 3 freq
treibute - 1 freq
terrified - 27 freq
threepit - 5 freq
threapit - 47 freq
thrift - 8 freq
trepidation - 4 freq
trapped - 24 freq
threipt - 1 freq
torpedoed - 4 freq
thereaboots - 14 freq
torpedoes - 3 freq
trooped - 4 freq
tripped - 15 freq
turraveed - 2 freq
tributes - 4 freq
trippt - 1 freq
terrifeet - 2 freq
tarbouton - 1 freq
torebodin - 1 freq
thrived - 6 freq
terrifeed - 10 freq
thrivit - 1 freq
trippit - 4 freq
thereafter - 1 freq
trappet - 2 freq
thereaboot - 5 freq
torpedeo'd - 1 freq
throupit - 3 freq
trap't - 1 freq
turfed - 7 freq
three-fit - 2 freq
thrifty - 7 freq
tarbet - 1 freq
torpedo - 2 freq
terrafeet - 1 freq
terrifiet - 1 freq
thareaboots - 1 freq
traepit - 2 freq
throu-pittin - 1 freq
thare-about - 2 freq
tripp't - 1 freq
turbot - 2 freq
thriftless - 2 freq
trift's - 1 freq
trippet - 1 freq
thraipit - 1 freq
throu-puttin - 1 freq
trappit - 7 freq
trivit - 1 freq
thare-efter - 1 freq
tributary - 1 freq
throu-pit - 2 freq
thereaifter - 1 freq
trift - 1 freq
three-paddit - 1 freq
thaireftir - 1 freq
tripod - 1 freq
€œtrip-trip- - 1 freq
€œtrip-trip - 1 freq
trip-trip - 2 freq
tarbat - 1 freq
torpedos - 1 freq
touraboot - 1 freq
tripadvisor - 1 freq
tryptych - 1 freq
therapeutic - 3 freq
trip-trappin - 1 freq
trip-trapped - 1 freq
troupit - 2 freq
troopit - 1 freq
thereabouts - 1 freq
theraboots - 1 freq
‘tribute’ - 1 freq
turbodeb - 1 freq
troubador - 1 freq
therapet - 1 freq
trftw - 1 freq
tripedog - 9 freq
tripawd - 6 freq
MetaPhone code - TRPTK
tripedog - 9 freq
TRIPEDOG
Time to execute Levenshtein function - 0.219771 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 - 0.414574 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 - 0.027286 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 - 0.039343 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 - 0.000816 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.