A Corpus of 21st Century Scots Texts

Intro a b c d e f g h i j k l m n o p q r s t u v w x y z Texts Writers Statistics Top200 Search Compare

Levenshtein Distance

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

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

Similar words to twarthry in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
twarthry (0) - 1 freq
twarthy (1) - 3 freq
twarthree (2) - 1 freq
swarthy (2) - 1 freq
twarthie (2) - 3 freq
twa-thrie (3) - 4 freq
twathie (3) - 8 freq
martyry (3) - 1 freq
twanty (3) - 3 freq
earthly (3) - 10 freq
twartree (3) - 111 freq
twathrie (3) - 3 freq
tartars (3) - 1 freq
twartis (3) - 7 freq
'twarthie (3) - 1 freq
warth (3) - 64 freq
twae-thre (3) - 1 freq
twalth (3) - 1 freq
stewartry (3) - 6 freq
warthie (3) - 9 freq
twa-three (3) - 130 freq
warty (3) - 1 freq
twarterit (3) - 1 freq
twathree (3) - 14 freq
wathery (3) - 1 freq
twarthry (0) - 1 freq
twarthree (2) - 1 freq
twarthy (2) - 3 freq
twarthie (3) - 3 freq
twathrie (4) - 3 freq
twa-three (4) - 130 freq
twae-thre (4) - 1 freq
twaethree (4) - 2 freq
twathree (4) - 14 freq
twartree (4) - 111 freq
twa-thrie (4) - 4 freq
swarthy (4) - 1 freq
twatter (5) - 7 freq
wathery (5) - 1 freq
tartare (5) - 1 freq
twaa-three (5) - 1 freq
watthery (5) - 2 freq
worthy (5) - 21 freq
tartanry (5) - 4 freq
twae-three (5) - 6 freq
twartquoy (5) - 1 freq
twartee (5) - 1 freq
wirthy (5) - 7 freq
'twarthie (5) - 1 freq
warth (5) - 64 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 - 19 freq
torture - 21 freq
thordarson - 4 freq
tratour - 1 freq
tartare - 1 freq
traitorous - 2 freq
tear-drap - 1 freq
torturers - 2 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
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 - TWR0R
twarthree - 1 freq
twarthry - 1 freq
TWARTHRY
Time to execute Levenshtein function - 0.607190 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 - 0.996546 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 - 0.087433 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 - 0.101665 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 - 0.004024 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.