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 daggers in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
daggers (0) - 12 freq
dagger (1) - 4 freq
dangers (1) - 11 freq
diggers (1) - 1 freq
dargers (1) - 1 freq
biggers (2) - 9 freq
daungers (2) - 2 freq
lagers (2) - 2 freq
wagners (2) - 1 freq
tagger's (2) - 1 freq
gangers (2) - 2 freq
dodgers (2) - 2 freq
baegers (2) - 1 freq
loggers (2) - 1 freq
staggers (2) - 5 freq
dangeris (2) - 1 freq
taggert (2) - 1 freq
darger (2) - 2 freq
joggers (2) - 1 freq
rangers (2) - 55 freq
digger (2) - 12 freq
dancers (2) - 37 freq
ruggers (2) - 1 freq
dingers (2) - 3 freq
buggers (2) - 31 freq
daggers (0) - 12 freq
diggers (1) - 1 freq
dargers (2) - 1 freq
dangers (2) - 11 freq
dagger (2) - 4 freq
dogger (3) - 1 freq
beggers (3) - 1 freq
joggers (3) - 1 freq
dangeris (3) - 1 freq
ruggers (3) - 1 freq
dingers (3) - 3 freq
loggers (3) - 1 freq
digger (3) - 12 freq
dodgers (3) - 2 freq
dungers (3) - 3 freq
daungers (3) - 2 freq
biggers (3) - 9 freq
figgers (3) - 1 freq
buggers (3) - 31 freq
claggers (4) - 1 freq
cadgers (4) - 1 freq
dabbers (4) - 1 freq
swaggers (4) - 4 freq
danger (4) - 110 freq
biggars (4) - 2 freq
SoundEx code - D262
desairs - 1 freq
degrees - 29 freq
dischairged - 7 freq
disrespeck - 2 freq
disgrace - 61 freq
discourse - 14 freq
dishairged - 1 freq
dischairgit - 1 freq
doukers - 1 freq
dug-rose - 1 freq
daggers - 12 freq
dookers - 10 freq
diggers - 1 freq
disgracefully - 1 freq
disgraceful - 6 freq
dyker's - 1 freq
disgracefu - 1 freq
decrees - 3 freq
disrespect - 8 freq
desires - 10 freq
dockers - 12 freq
digraceful - 1 freq
discharged - 4 freq
deck-chairs - 1 freq
'disgrace' - 1 freq
digress - 3 freq
disgraced - 3 freq
dossers - 3 freq
discourage - 2 freq
discouraged - 10 freq
discoorse - 20 freq
discharge - 2 freq
discourse' - 1 freq
dossiers - 1 freq
discursive - 1 freq
decorous - 2 freq
desirous - 1 freq
desers - 1 freq
dischairge - 1 freq
disregard - 1 freq
deckchyres - 1 freq
disrespectful - 3 freq
disregaird - 1 freq
discoorses - 1 freq
diskirsiv - 1 freq
disregards - 1 freq
decreasin - 1 freq
daiquiris - 1 freq
deckers - 2 freq
dusgrace - 1 freq
digression - 1 freq
dichroic - 1 freq
discoorse- - 1 freq
disgracin - 1 freq
daisyroseedward - 1 freq
doggersaints - 1 freq
dchristieprof - 1 freq
MetaPhone code - TKRS
degrees - 29 freq
doukers - 1 freq
dug-rose - 1 freq
daggers - 12 freq
dookers - 10 freq
diggers - 1 freq
takers - 2 freq
tigress - 2 freq
dyker's - 1 freq
taakers - 4 freq
decrees - 3 freq
dockers - 12 freq
digress - 3 freq
tagger's - 1 freq
teegars - 1 freq
teegars' - 1 freq
decorous - 2 freq
daiquiris - 1 freq
deckers - 2 freq
tigrez - 1 freq
DAGGERS
Time to execute Levenshtein function - 0.192182 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 - 0.368919 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 - 0.027519 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 - 0.037760 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 - 0.000899 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.