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 triggers in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
triggers (0) - 1 freq
thiggers (1) - 1 freq
trigger (1) - 13 freq
rigger (2) - 2 freq
ridgers (2) - 3 freq
biggers (2) - 9 freq
triggered (2) - 2 freq
sniggers (2) - 5 freq
trigged (2) - 1 freq
diggers (2) - 1 freq
triggest (2) - 1 freq
teigers (2) - 2 freq
trippers (2) - 2 freq
figgers (2) - 1 freq
tigers (2) - 5 freq
triers (2) - 2 freq
ruggers (2) - 1 freq
cringers (2) - 2 freq
ringer (3) - 6 freq
trainers (3) - 48 freq
trackers (3) - 1 freq
strippers (3) - 2 freq
taivers (3) - 3 freq
teiger (3) - 1 freq
joggers (3) - 1 freq
triggers (0) - 1 freq
trigger (2) - 13 freq
thiggers (2) - 1 freq
triggered (3) - 2 freq
ruggers (3) - 1 freq
trippers (4) - 2 freq
figgers (4) - 1 freq
tigers (4) - 5 freq
teigers (4) - 2 freq
triers (4) - 2 freq
cringers (4) - 2 freq
ridgers (4) - 3 freq
triggest (4) - 1 freq
biggers (4) - 9 freq
rigger (4) - 2 freq
sniggers (4) - 5 freq
diggers (4) - 1 freq
trigged (4) - 1 freq
straiglers (5) - 1 freq
taggert (5) - 1 freq
brigganers (5) - 1 freq
rangers (5) - 55 freq
traalers (5) - 2 freq
stragglers (5) - 3 freq
staggers (5) - 5 freq
SoundEx code - T626
treesure - 2 freq
trigger - 13 freq
treisur - 17 freq
treisurs - 7 freq
traisure - 1 freq
troosers - 77 freq
trousers - 12 freq
traicherous - 2 freq
three-quaarters - 2 freq
trees're - 1 freq
treesur - 1 freq
troqueer - 2 freq
tarrycroys - 1 freq
three-score - 3 freq
treisured - 3 freq
treasure - 40 freq
trickerie - 1 freq
'treacherie - 1 freq
treacherse - 1 freq
treacherie - 4 freq
treasured - 10 freq
treachery - 3 freq
triggers - 1 freq
treisure - 19 freq
tresors - 1 freq
three-quarters - 4 freq
trigger-pu'in - 1 freq
treacherous - 4 freq
trooser - 10 freq
traisured - 2 freq
treysures - 4 freq
treysure - 4 freq
three-coorse - 1 freq
treasures - 4 freq
thresher - 2 freq
treasury - 3 freq
torchirt - 1 freq
trizzure - 5 freq
threequarters - 1 freq
traisur - 3 freq
traisurs - 1 freq
trackers - 1 freq
treacherously - 1 freq
tyre-scaurs - 2 freq
three-quarter - 3 freq
trickery - 1 freq
trookers - 2 freq
traisure- - 1 freq
treisures - 1 freq
treasurer - 4 freq
'treacherous - 1 freq
thrie-score-an-ten - 1 freq
traesir - 2 freq
troker - 1 freq
€œtreasure - 1 freq
threshart - 4 freq
treisurable - 2 freq
trokerie - 1 freq
triggered - 2 freq
treisurin - 1 freq
treesures - 1 freq
treasuir - 1 freq
treezhird - 1 freq
trooker - 2 freq
thearchers - 1 freq
trees-are - 1 freq
terzer - 1 freq
trucker - 1 freq
troqueerprimary - 1 freq
torkirra - 1 freq
threecheersfurdaguizerjarl - 1 freq
MetaPhone code - TRKRS
tarrycroys - 1 freq
triggers - 1 freq
trackers - 1 freq
trookers - 2 freq
TRIGGERS
Time to execute Levenshtein function - 0.238406 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 - 0.382120 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 - 0.030086 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 - 0.037199 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 - 0.000837 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.