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 propellt in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
propellt (0) - 1 freq
propel (2) - 2 freq
propeller (2) - 1 freq
properly (2) - 60 freq
propellin (2) - 1 freq
rope'll (3) - 1 freq
proppit (3) - 3 freq
popet (3) - 2 freq
rollt (3) - 4 freq
proper' (3) - 1 freq
prof'll (3) - 3 freq
prolly (3) - 8 freq
prophit (3) - 16 freq
trope'll (3) - 1 freq
prospect (3) - 23 freq
properÂ’ (3) - 1 freq
proppt (3) - 1 freq
spellt (3) - 9 freq
property (3) - 35 freq
trevellt (3) - 2 freq
droplet (3) - 1 freq
profeel (3) - 5 freq
projet (3) - 1 freq
profeels (3) - 1 freq
protest (3) - 27 freq
propellt (0) - 1 freq
propeller (3) - 1 freq
propellin (3) - 1 freq
properly (4) - 60 freq
propel (4) - 2 freq
droplet (5) - 1 freq
trevellt (5) - 2 freq
property (5) - 35 freq
proponit (5) - 5 freq
spellt (5) - 9 freq
propale (5) - 1 freq
appellit (5) - 1 freq
proppt (5) - 1 freq
travellt (5) - 1 freq
prophet (5) - 13 freq
propont (5) - 1 freq
prolly (5) - 8 freq
rollt (5) - 4 freq
proppit (5) - 3 freq
prophit (5) - 16 freq
peronall (6) - 1 freq
repellent (6) - 1 freq
proposals (6) - 12 freq
propagate (6) - 1 freq
parapet (6) - 3 freq
SoundEx code - P614
powerful - 21 freq
purple - 110 freq
problem - 262 freq
parabola - 2 freq
'problem - 1 freq
problems - 95 freq
prof'll - 3 freq
proablem - 4 freq
problème - 2 freq
profile - 52 freq
privileged - 13 freq
problem's - 2 freq
prevailed - 6 freq
perplexed - 9 freq
profiles - 8 freq
problim - 10 freq
prevail - 10 freq
privilege - 17 freq
prob''ly - 1 freq
prob'ly - 2 freq
purple's - 2 freq
purple-strippit - 1 freq
preevilige - 1 freq
preevelige - 1 freq
preevilege - 2 freq
preeveilige - 1 freq
pouerful - 3 freq
proably - 1 freq
probly - 40 freq
privileges - 3 freq
parable - 54 freq
parables - 9 freq
pooerful - 10 freq
parable's - 1 freq
propel - 2 freq
prevele - 1 freq
problims - 1 freq
powerfuul - 1 freq
pieirieblakk - 1 freq
purples - 1 freq
purpie-wulk - 1 freq
problematic - 3 freq
problemreddin - 1 freq
€œproblem - 2 freq
prevailin - 2 freq
priveliged - 1 freq
purfled - 1 freq
prevalence - 1 freq
propale - 1 freq
profeel - 5 freq
profeels - 1 freq
preivilege - 2 freq
profligate - 1 freq
purple-pussed - 1 freq
propeller - 1 freq
powerfully - 1 freq
purpley - 1 freq
purple-green - 1 freq
problemo - 1 freq
propellin - 1 freq
propellt - 1 freq
problee - 1 freq
probulary - 2 freq
prevelent - 1 freq
problemo's - 1 freq
prayfully - 6 freq
prayeefully - 1 freq
privilaged - 1 freq
prievilage - 1 freq
profile” - 1 freq
prevalent - 1 freq
powerfull - 1 freq
parboiled - 1 freq
MetaPhone code - PRPLT
propellt - 1 freq
PROPELLT
Time to execute Levenshtein function - 0.855182 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 - 1.390762 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 - 0.124638 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 - 0.108358 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 - 0.000948 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.