A Corpus of 21st Century Scots Texts

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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 degrees in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
degrees (0) - 29 freq
decrees (1) - 3 freq
degree (1) - 71 freq
drees (2) - 6 freq
egress (2) - 2 freq
grees (2) - 18 freq
depress (2) - 1 freq
egreer (2) - 2 freq
decreets (2) - 2 freq
regress (2) - 1 freq
'grees (2) - 2 freq
decreed (2) - 9 freq
dere's (2) - 3 freq
digress (2) - 3 freq
decree (2) - 12 freq
agrees (2) - 13 freq
regrets (2) - 12 freq
ferrets (3) - 10 freq
deafens (3) - 1 freq
defies (3) - 2 freq
deities (3) - 2 freq
dreels (3) - 11 freq
weires (3) - 1 freq
deseen (3) - 1 freq
referees (3) - 2 freq
degrees (0) - 29 freq
degree (2) - 71 freq
decrees (2) - 3 freq
agrees (3) - 13 freq
'grees (3) - 2 freq
digress (3) - 3 freq
grees (3) - 18 freq
drees (3) - 6 freq
dares (4) - 5 freq
dogems (4) - 1 freq
daggers (4) - 12 freq
debris (4) - 10 freq
disagrees (4) - 3 freq
grues (4) - 1 freq
dungarees (4) - 12 freq
defers (4) - 1 freq
dures (4) - 3 freq
odgers (4) - 1 freq
dears (4) - 12 freq
diggers (4) - 1 freq
dongerees (4) - 1 freq
dries (4) - 8 freq
dairies (4) - 3 freq
greys (4) - 5 freq
degrade (4) - 1 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
DEGREES
Time to execute Levenshtein function - 0.183502 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 - 0.394264 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 - 0.032515 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 - 0.037435 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 - 0.000901 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.