A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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

Similar words to territours in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
territours (0) - 2 freq
territour (1) - 4 freq
servitours (2) - 1 freq
territor (2) - 5 freq
territury (2) - 1 freq
territory (2) - 26 freq
servitors (3) - 1 freq
territoral (3) - 1 freq
terrour (3) - 1 freq
terrors (3) - 3 freq
heritors (3) - 5 freq
eraiturs (3) - 1 freq
territories (3) - 5 freq
traitors (3) - 6 freq
terriers (3) - 1 freq
weirriours (3) - 3 freq
warriours (3) - 2 freq
eraiters (4) - 2 freq
ferm-touns (4) - 1 freq
serious (4) - 152 freq
traisurs (4) - 1 freq
neibours (4) - 19 freq
terminus (4) - 1 freq
servitor (4) - 2 freq
garitour (4) - 3 freq
territours (0) - 2 freq
territour (2) - 4 freq
territories (3) - 5 freq
territory (3) - 26 freq
territury (3) - 1 freq
territor (3) - 5 freq
traitors (4) - 6 freq
terrors (4) - 3 freq
terriers (4) - 1 freq
servitours (4) - 1 freq
territoral (4) - 1 freq
traitoris (5) - 1 freq
terrour (5) - 1 freq
tractors (5) - 17 freq
territorial (5) - 5 freq
traictors (5) - 2 freq
trectors (5) - 1 freq
warriours (5) - 2 freq
heritors (5) - 5 freq
eraiturs (5) - 1 freq
servitors (5) - 1 freq
weirriours (5) - 3 freq
terror (6) - 39 freq
errors (6) - 7 freq
critturs (6) - 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 - TRTRS
traders - 5 freq
torturous - 2 freq
trotters - 9 freq
traitors - 6 freq
torters - 1 freq
deirdre's - 1 freq
territories - 5 freq
tortures - 1 freq
tartars - 1 freq
territours - 2 freq
traitorous - 1 freq
traitoris - 1 freq
TERRITOURS
Time to execute Levenshtein function - 0.213384 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 - 0.418101 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 - 0.027959 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 - 0.038764 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 - 0.000793 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.