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 ahint

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

Similar words to troll in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
troll (0) - 11 freq
droll (1) - 13 freq
stroll (1) - 21 freq
roll (1) - 108 freq
toll (1) - 16 freq
trolly (1) - 1 freq
trill (1) - 3 freq
trolls (1) - 6 freq
tronn (2) - 1 freq
trove (2) - 3 freq
troch (2) - 13 freq
roull (2) - 2 freq
croul (2) - 1 freq
scroll (2) - 19 freq
troop (2) - 11 freq
strolls (2) - 4 freq
trowe (2) - 65 freq
trows (2) - 35 freq
trow (2) - 132 freq
voll (2) - 1 freq
atholl (2) - 1 freq
troth (2) - 18 freq
trolled (2) - 1 freq
thrill (2) - 18 freq
tull (2) - 84 freq
troll (0) - 11 freq
trolly (1) - 1 freq
trill (1) - 3 freq
trolls (2) - 6 freq
trolley (2) - 27 freq
traill (2) - 2 freq
tryall (2) - 1 freq
roll (2) - 108 freq
toll (2) - 16 freq
droll (2) - 13 freq
stroll (2) - 21 freq
tkull (3) - 1 freq
till (3) - 2489 freq
thrall (3) - 4 freq
brolly (3) - 15 freq
drill (3) - 53 freq
trollop (3) - 1 freq
twill (3) - 1 freq
traal (3) - 1 freq
trawl (3) - 3 freq
erroll (3) - 1 freq
irll (3) - 1 freq
truil (3) - 1 freq
trowel (3) - 1 freq
thill (3) - 1 freq
SoundEx code - T640
there'll - 63 freq
terrile - 1 freq
terrel - 6 freq
thirl - 3 freq
trulie - 4 freq
trial - 82 freq
trail - 64 freq
thirle - 2 freq
traal - 1 freq
truly - 127 freq
thare'll - 2 freq
traill - 2 freq
thur'll - 3 freq
trawl - 3 freq
trolley - 27 freq
thor'll - 1 freq
tirl - 14 freq
throuly - 1 freq
troll - 11 freq
truelie - 2 freq
trail' - 1 freq
twurl - 1 freq
thir'll - 5 freq
thair'il - 2 freq
thrial - 1 freq
thair'll - 13 freq
thrill - 18 freq
'there'll - 1 freq
twaa-year-aul - 2 freq
thrall - 4 freq
trill - 3 freq
trolly - 1 freq
truil - 1 freq
twirl - 5 freq
tryall - 1 freq
three-wheel - 1 freq
trowel - 1 freq
thereÂ’ll - 1 freq
truely - 1 freq
terrell - 4 freq
MetaPhone code - TRL
terrile - 1 freq
terrel - 6 freq
trulie - 4 freq
trial - 82 freq
trail - 64 freq
dirl - 46 freq
dourly - 16 freq
dearly - 13 freq
drool - 6 freq
traal - 1 freq
truly - 127 freq
droll - 13 freq
traill - 2 freq
dreel - 26 freq
drill - 53 freq
trawl - 3 freq
trolley - 27 freq
w'aterloo - 1 freq
tirl - 14 freq
troll - 11 freq
door'll - 4 freq
truelie - 2 freq
trail' - 1 freq
dairylea - 1 freq
dure'll - 1 freq
der'll - 5 freq
trill - 3 freq
trolly - 1 freq
darl - 1 freq
drylaw - 1 freq
truil - 1 freq
der-ilei - 2 freq
€˜droll - 1 freq
drily - 1 freq
drawl - 4 freq
drillie - 1 freq
dryly - 1 freq
derail - 1 freq
drl - 12 freq
daryl - 2 freq
truely - 1 freq
terrell - 4 freq
dir'll - 1 freq
TROLL
trow - 132 freq
troll - 11 freq
Time to execute Levenshtein function - 0.188854 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 - 0.337046 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 - 0.028690 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 - 0.038660 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 - 0.000938 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.