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 daiquiris in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
daiquiris (0) - 1 freq
daiquiri (1) - 1 freq
dainjirus (3) - 1 freq
acquirin (3) - 3 freq
quirks (4) - 4 freq
failures (4) - 6 freq
daurin (4) - 10 freq
inquirie (4) - 1 freq
dainties (4) - 5 freq
acquiring (4) - 1 freq
pairis (4) - 2 freq
marquis (4) - 3 freq
dailers (4) - 2 freq
inquires (4) - 1 freq
inquiries (4) - 1 freq
liquids (4) - 2 freq
dairts (4) - 2 freq
pairris (4) - 2 freq
squirts (4) - 1 freq
acquire (4) - 3 freq
dailins (4) - 4 freq
requirin (4) - 1 freq
requirit (4) - 1 freq
enquiries (4) - 6 freq
acquired (4) - 10 freq
daiquiris (0) - 1 freq
daiquiri (2) - 1 freq
dailers (5) - 2 freq
enquiries (5) - 6 freq
inquiries (5) - 1 freq
quires (5) - 1 freq
dairies (5) - 3 freq
inquires (5) - 1 freq
daurs (5) - 2 freq
dainjirus (5) - 1 freq
acquirin (5) - 3 freq
duirs (5) - 5 freq
enquires (5) - 5 freq
requires (5) - 8 freq
quairs (6) - 3 freq
doavirs (6) - 1 freq
dures (6) - 3 freq
acquirt (6) - 1 freq
quiri (6) - 1 freq
disuiss (6) - 1 freq
detours (6) - 1 freq
squars (6) - 1 freq
desires (6) - 10 freq
squares (6) - 16 freq
liqueurs (6) - 1 freq
SoundEx code - D262
desairs - 1 freq
degrees - 29 freq
dischairged - 7 freq
disrespeck - 2 freq
disgrace - 60 freq
discourse - 14 freq
dishairged - 1 freq
dischairgit - 1 freq
doukers - 1 freq
dug-rose - 1 freq
daggers - 11 freq
dookers - 10 freq
diggers - 1 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
disgraceful - 5 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 - 11 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
DAIQUIRIS
Time to execute Levenshtein function - 0.485120 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 - 0.898036 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 - 0.028914 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 - 0.079339 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 - 0.000848 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.