A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ahint

- basic concord - pre-sorted concord - post-sorted concord - map and chronology - chronogrid - fine-grain concord -

Similar words to traitor in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
traitor (0) - 7 freq
traitors (1) - 6 freq
traditor (1) - 1 freq
traictor (1) - 1 freq
tractor (1) - 55 freq
tractors (2) - 17 freq
raptor (2) - 1 freq
traitoris (2) - 1 freq
tailor (2) - 28 freq
tratour (2) - 1 freq
tracter (2) - 12 freq
traits (2) - 4 freq
craitur (2) - 126 freq
tradito (2) - 1 freq
tractour (2) - 1 freq
eraitur (2) - 1 freq
trainer (2) - 10 freq
triton (2) - 4 freq
orator (2) - 2 freq
traited (2) - 1 freq
territor (2) - 5 freq
traitit (2) - 5 freq
trector (2) - 2 freq
trailer (2) - 13 freq
tractir (2) - 3 freq
traitor (0) - 7 freq
tratour (2) - 1 freq
tractor (2) - 55 freq
traictor (2) - 1 freq
traitors (2) - 6 freq
traditor (2) - 1 freq
trector (3) - 2 freq
traitit (3) - 5 freq
traited (3) - 1 freq
trailer (3) - 13 freq
territor (3) - 5 freq
raitir (3) - 1 freq
trateur (3) - 1 freq
craiter (3) - 27 freq
orator (3) - 2 freq
traisur (3) - 3 freq
tractir (3) - 3 freq
trait (3) - 11 freq
traits (3) - 4 freq
traitoris (3) - 1 freq
triton (3) - 4 freq
craitur (3) - 126 freq
tracter (3) - 12 freq
trainer (3) - 10 freq
eraitur (3) - 1 freq
SoundEx code - T636
tortur - 3 freq
throuither - 27 freq
trader - 9 freq
traders - 5 freq
territory - 26 freq
territorial - 5 freq
tear-draps - 2 freq
torturous - 2 freq
trotter - 5 freq
trotters - 9 freq
torturt - 1 freq
three-tiered - 2 freq
tortured - 18 freq
torture - 21 freq
thordarson - 4 freq
tratour - 1 freq
third-world - 1 freq
territour - 4 freq
tortered - 1 freq
throu-ither - 1 freq
traitor - 7 freq
traitors - 6 freq
thorture - 2 freq
twartree - 111 freq
twaartree - 3 freq
territoral - 1 freq
territor - 5 freq
twarterit - 1 freq
thortert - 1 freq
traeder - 1 freq
territury - 1 freq
tertiary - 4 freq
torturit - 1 freq
teardraps - 1 freq
tertar - 2 freq
torters - 1 freq
tortert - 1 freq
three-tier - 1 freq
three-thirty's - 1 freq
territories - 5 freq
throweither - 1 freq
thorter - 2 freq
third-year - 1 freq
trotternish - 4 freq
twarthree - 1 freq
torturin - 1 freq
tortures - 1 freq
tharatour - 1 freq
torter - 1 freq
tartars - 1 freq
territours - 2 freq
torturers - 1 freq
traitorous - 1 freq
twarthry - 1 freq
Ítróttarfelag - 1 freq
trateur - 1 freq
traitoris - 1 freq
teardrop - 1 freq
theorder - 1 freq
'traitor' - 1 freq
torturing - 1 freq
MetaPhone code - TRTR
tortur - 3 freq
trader - 9 freq
territory - 26 freq
dreidour - 1 freq
trotter - 5 freq
torture - 21 freq
tratour - 1 freq
territour - 4 freq
traitor - 7 freq
deirdre - 13 freq
dear-a-dear - 1 freq
territor - 5 freq
traeder - 1 freq
territury - 1 freq
tertar - 2 freq
torter - 1 freq
trateur - 1 freq
'traitor' - 1 freq
TRAITOR
Time to execute Levenshtein function - 0.184499 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 - 0.526936 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 - 0.063887 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 - 0.037037 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 - 0.000801 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.