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 addressees in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
addressees (0) - 2 freq
addresses (1) - 16 freq
addressee (1) - 11 freq
addressed (2) - 38 freq
addressin (3) - 19 freq
dresseen (3) - 1 freq
addressing (3) - 2 freq
address (3) - 141 freq
addresst (3) - 4 freq
dresses (3) - 18 freq
adressed (3) - 2 freq
addressan (3) - 1 freq
actresses (3) - 2 freq
dressers (3) - 1 freq
addressit (3) - 4 freq
addreesed (3) - 1 freq
address'll (3) - 1 freq
addressin' (3) - 2 freq
'address (4) - 1 freq
cypressess (4) - 1 freq
hairdressers (4) - 8 freq
goddesses (4) - 3 freq
a-dressin (4) - 2 freq
tresses (4) - 1 freq
sadnesses (4) - 1 freq
addressees (0) - 2 freq
addresses (1) - 16 freq
addressee (2) - 11 freq
addressed (3) - 38 freq
dresses (4) - 18 freq
addressan (4) - 1 freq
addresst (4) - 4 freq
addressit (4) - 4 freq
addressin (4) - 19 freq
address (4) - 141 freq
dressers (5) - 1 freq
addressin' (5) - 2 freq
addreesed (5) - 1 freq
actresses (5) - 2 freq
addressing (5) - 2 freq
dresseen (5) - 1 freq
adressed (5) - 2 freq
waitresses (6) - 2 freq
adressin (6) - 1 freq
dresser (6) - 23 freq
expresses (6) - 7 freq
addresg (6) - 1 freq
presses (6) - 23 freq
stresses (6) - 4 freq
pressies (6) - 3 freq
SoundEx code - A362
address - 141 freq
addressed - 38 freq
addressin - 19 freq
attracted - 5 freq
addresses - 16 freq
attraction - 17 freq
attractive - 11 freq
authors - 16 freq
aithers - 7 freq
aathor's - 1 freq
adders - 1 freq
atrocities - 3 freq
authorised - 4 freq
attrection - 1 freq
'address - 1 freq
attrack - 4 freq
attractit - 6 freq
attracks - 1 freq
address'll - 1 freq
author's - 6 freq
attrac - 1 freq
addresst - 4 freq
attractin - 5 freq
adressin - 1 freq
attractions - 7 freq
addresg - 1 freq
attrakkit - 2 freq
atrack - 1 freq
attractiveness - 2 freq
adores - 2 freq
attracts - 2 freq
attract - 6 freq
addressin' - 2 freq
attractin' - 1 freq
attractive' - 1 freq
addressees - 2 freq
addressan - 1 freq
adressed - 2 freq
attracktin - 1 freq
addressee - 11 freq
a-dressin - 2 freq
addreesed - 1 freq
attrackit - 1 freq
aid-wirkers - 1 freq
autoreise - 1 freq
attrak - 1 freq
addressing - 2 freq
atrocious - 3 freq
authorise - 1 freq
addressit - 4 freq
aathorised - 1 freq
attersome - 1 freq
attercap - 1 freq
authorship - 4 freq
€˜aduersitie - 1 freq
aduersitie - 1 freq
adreich - 1 freq
authorjla - 7 freq
authoricrats - 1 freq
audreyjarvis - 1 freq
addressinglife - 2 freq
'author's - 1 freq
athrockmorton - 3 freq
'authors - 2 freq
audreys - 1 freq
autoricht - 1 freq
MetaPhone code - ATRSS
addresses - 16 freq
addressees - 2 freq
atrocious - 3 freq
ADDRESSEES
Time to execute Levenshtein function - 0.304951 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 - 0.614662 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 - 0.060325 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 - 0.041599 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 - 0.000806 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.