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 sonsie

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

Similar words to eco-freendly in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
eco-freendly (0) - 2 freq
eco-freenly (1) - 1 freq
eco-friendly (1) - 1 freq
'eco-friendly' (3) - 1 freq
un-freenly (4) - 1 freq
unfreendly (4) - 1 freq
freendly (4) - 36 freq
user-friendly (5) - 1 freq
friendly (5) - 43 freq
unfreenly (5) - 2 freq
boyfreend (5) - 1 freq
boy-freend's (5) - 1 freq
freindly (5) - 1 freq
freenly (5) - 22 freq
confidently (5) - 10 freq
unfriendly (5) - 1 freq
lion-freens (6) - 1 freq
greenfly (6) - 2 freq
comprehends (6) - 9 freq
comprehendin (6) - 3 freq
eckfraeedi (6) - 1 freq
freends (6) - 181 freq
confidintly (6) - 1 freq
unfreends (6) - 3 freq
secondly (6) - 4 freq
eco-freendly (0) - 2 freq
eco-friendly (1) - 1 freq
eco-freenly (2) - 1 freq
'eco-friendly' (5) - 1 freq
freendly (6) - 36 freq
un-freenly (6) - 1 freq
unfreendly (6) - 1 freq
freindly (7) - 1 freq
user-friendly (7) - 1 freq
friendly (7) - 43 freq
unfriendly (7) - 1 freq
be-friended (8) - 1 freq
co-brandit (8) - 1 freq
freendlie (8) - 3 freq
onfreindlie (8) - 1 freq
confidently (8) - 10 freq
boy-freend's (8) - 1 freq
boyfreend (8) - 1 freq
freenly (8) - 22 freq
unfreenly (8) - 2 freq
boyfriend (9) - 39 freq
€œfreend (9) - 1 freq
boyfriends (9) - 2 freq
confrence (9) - 1 freq
frienly (9) - 5 freq
SoundEx code - E216
expairience - 15 freq
expressions - 26 freq
expression - 110 freq
expire - 2 freq
express - 64 freq
experienced - 34 freq
'expert - 1 freq
experience - 149 freq
export - 10 freq
expressin - 12 freq
expressed - 23 freq
experiment - 25 freq
expressive - 10 freq
experiences - 26 freq
expairiences - 5 freq
expressiveness - 2 freq
expert - 44 freq
expreme - 1 freq
expeereenced - 1 freq
expeereence - 1 freq
experiential - 4 freq
expertly - 5 freq
expressing - 2 freq
experiencin - 5 freq
experiments - 3 freq
expired - 3 freq
expressit - 1 freq
exportin - 6 freq
'experiences' - 1 freq
experience' - 3 freq
experts - 25 freq
expressionless - 3 freq
egg-fried - 1 freq
experimental - 13 freq
expresses - 7 freq
exuberance - 3 freq
expremes - 1 freq
espresso - 4 freq
expertise - 14 freq
'eco-friendly' - 1 freq
eco-friendly - 1 freq
expressan - 1 freq
expairienced - 1 freq
expires - 1 freq
esperanto - 1 freq
eco-freenly - 1 freq
express' - 1 freq
'expairts' - 1 freq
exportit - 1 freq
experiencing - 5 freq
ex-partick - 1 freq
expressin' - 1 freq
expairencies - 1 freq
ex-provinces - 1 freq
expiriment - 2 freq
expirimental - 1 freq
experimenters - 2 freq
experimentation - 1 freq
eco-freendly - 2 freq
ekspereemint - 2 freq
ekspeereeïns - 2 freq
ekspereementl - 1 freq
experimenting - 1 freq
exuberant - 1 freq
eggspertbin - 1 freq
exparts - 1 freq
eckfraeedi - 1 freq
MetaPhone code - EKFRNTL
'eco-friendly' - 1 freq
eco-friendly - 1 freq
eco-freendly - 2 freq
ECO-FREENDLY
Time to execute Levenshtein function - 0.219698 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 - 0.401999 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 - 0.035372 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 - 0.037409 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 - 0.000903 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.