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 colleagues in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
colleagues (0) - 25 freq
colleague (1) - 15 freq
colleague's (1) - 2 freq
collogues (2) - 14 freq
colleges (2) - 4 freq
collouges (3) - 3 freq
college's (3) - 2 freq
collapses (3) - 1 freq
college (3) - 113 freq
collogued (3) - 4 freq
colledge (3) - 1 freq
leagues (3) - 19 freq
ex-colleagues (3) - 1 freq
collage (3) - 1 freq
collogue (3) - 62 freq
collate (4) - 1 freq
collars (4) - 8 freq
collects (4) - 2 freq
villages (4) - 17 freq
collectors (4) - 9 freq
coagles (4) - 1 freq
collected (4) - 16 freq
collared (4) - 1 freq
collides (4) - 1 freq
follaes (4) - 58 freq
colleagues (0) - 25 freq
colleges (2) - 4 freq
collogues (2) - 14 freq
colleague's (2) - 2 freq
colleague (2) - 15 freq
collouges (3) - 3 freq
collogue (4) - 62 freq
collage (4) - 1 freq
collogued (4) - 4 freq
college (4) - 113 freq
college's (4) - 2 freq
calcagus (5) - 1 freq
colloguin (5) - 7 freq
collides (5) - 1 freq
colleg (5) - 2 freq
colloguit (5) - 1 freq
coillege (5) - 1 freq
collegian (5) - 1 freq
colloguein (5) - 1 freq
collapse (5) - 16 freq
collars (5) - 8 freq
villages (5) - 17 freq
leagues (5) - 19 freq
colledge (5) - 1 freq
collapses (5) - 1 freq
SoundEx code - C422
claggiest - 2 freq
clish-clash - 1 freq
clesses - 54 freq
classical - 26 freq
closes - 27 freq
classics - 17 freq
colleagues - 25 freq
classes - 46 freq
collogues - 14 freq
classic - 47 freq
cleuchs - 5 freq
closest - 20 freq
cleughs - 3 freq
colossus - 4 freq
classico' - 1 freq
clichés - 3 freq
clessic - 5 freq
calgacus - 3 freq
clashes - 2 freq
clicky's - 9 freq
clossach - 1 freq
cliques - 1 freq
colleges - 4 freq
college's - 2 freq
clessical - 6 freq
closses - 1 freq
collouges - 3 freq
coal-kist - 1 freq
colleague's - 2 freq
claases - 7 freq
clossest - 3 freq
clauses - 4 freq
cailleach's - 1 freq
cailleachs - 1 freq
classes' - 1 freq
celsius - 13 freq
classicus - 1 freq
€˜classic - 2 freq
€˜classical - 1 freq
classically-styled - 1 freq
€˜clessical - 1 freq
calcichew - 1 freq
cloggies - 2 freq
clessics - 1 freq
close-set - 1 freq
calcagus - 1 freq
clessist - 1 freq
clashcityclarky - 66 freq
chelseahaig - 1 freq
classicbritcom - 1 freq
calkaycody - 1 freq
MetaPhone code - KLKS
cleuks - 18 freq
clocks - 17 freq
colleagues - 25 freq
clock's - 5 freq
collogues - 14 freq
clooks - 4 freq
gullocks - 1 freq
galaxy - 20 freq
cloacks - 5 freq
gloag's - 1 freq
cleg's - 1 freq
'coleeks' - 1 freq
cloaks - 8 freq
clicky's - 9 freq
cleiks - 4 freq
clicks - 8 freq
cleeks - 12 freq
clegs - 2 freq
clogs - 9 freq
cliques - 1 freq
kelloggs - 1 freq
cleggs - 3 freq
klegs - 1 freq
gaelic's - 1 freq
colleague's - 2 freq
klux - 1 freq
collecks - 1 freq
clecks - 1 freq
click's - 1 freq
claiggs - 1 freq
cloggies - 2 freq
glegs - 1 freq
clx - 1 freq
kallax - 1 freq
COLLEAGUES
Time to execute Levenshtein function - 0.369037 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 - 0.539477 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 - 0.059993 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 - 0.053267 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 - 0.039506 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.