A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example sonsie

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Similar words to desert in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
desert (0) - 60 freq
despert (1) - 4 freq
desers (1) - 1 freq
deserts (1) - 8 freq
deserr (1) - 1 freq
dessert (1) - 4 freq
desertin (2) - 2 freq
defect (2) - 1 freq
eser (2) - 1 freq
defeat (2) - 30 freq
decern (2) - 2 freq
defers (2) - 1 freq
exert (2) - 1 freq
desiret (2) - 1 freq
assert (2) - 7 freq
despirt (2) - 1 freq
petert (2) - 1 freq
severt (2) - 1 freq
desir (2) - 1 freq
desertit (2) - 7 freq
deet (2) - 24 freq
deter (2) - 4 freq
dewer (2) - 2 freq
genert (2) - 1 freq
desirit (2) - 3 freq
desert (0) - 60 freq
despert (2) - 4 freq
dysart (2) - 8 freq
desiret (2) - 1 freq
desirit (2) - 3 freq
deseruit (2) - 1 freq
deserr (2) - 1 freq
deserts (2) - 8 freq
dessert (2) - 4 freq
desers (2) - 1 freq
depart (3) - 7 freq
desire (3) - 52 freq
sert (3) - 2 freq
divert (3) - 17 freq
dyvert (3) - 1 freq
dessirt (3) - 1 freq
desist (3) - 1 freq
davert (3) - 1 freq
deserted (3) - 5 freq
deservit (3) - 3 freq
dispert (3) - 2 freq
desir (3) - 1 freq
resort (3) - 8 freq
desprit (3) - 3 freq
dovert (3) - 9 freq
SoundEx code - D263
desert - 60 freq
duckworth - 3 freq
deserts - 8 freq
decorative - 2 freq
desertit - 7 freq
dishertent - 2 freq
decreed - 9 freq
decried - 3 freq
dysarts - 1 freq
desirit - 3 freq
dysart - 8 freq
dessert - 4 freq
discreet - 5 freq
dysart's - 1 freq
discarded - 2 freq
desired - 12 freq
disorder - 7 freq
decorated - 13 freq
descartes - 3 freq
discardin - 4 freq
decoratit - 7 freq
discretion - 7 freq
desertin - 2 freq
decreeit - 1 freq
deserted - 5 freq
decoratet - 2 freq
deserters - 2 freq
decorations - 12 freq
disorders - 1 freq
docherty - 10 freq
decoratin - 6 freq
decoratin' - 4 freq
discardit - 3 freq
dishworth's - 1 freq
disordert - 2 freq
decored - 5 freq
decoration - 4 freq
decorate - 5 freq
dug-eared - 1 freq
discards - 1 freq
discrete - 3 freq
disorder's - 1 freq
discord - 5 freq
doosrytanjoch - 1 freq
desertion - 2 freq
dockyaird - 1 freq
decreets - 2 freq
descartes' - 1 freq
dishworth - 1 freq
diacritics - 5 freq
diacritic - 3 freq
degradin - 3 freq
dischort - 1 freq
deserred - 2 freq
dessirt - 1 freq
discreetly - 2 freq
decairt - 1 freq
discaird - 1 freq
discairdit - 1 freq
dishertit - 1 freq
decreyed - 1 freq
dockyerds - 2 freq
decorator - 1 freq
degrade - 1 freq
degradation - 1 freq
discard - 1 freq
desiret - 1 freq
discreetlie - 1 freq
desseruit - 1 freq
deseruit - 1 freq
disheartenin - 1 freq
€œdiscreditable - 1 freq
dtyxrdnqkw - 1 freq
dgordonhack - 1 freq
discord nou - 1 freq
dgartsfest - 4 freq
MetaPhone code - TSRT
desert - 60 freq
desirit - 3 freq
dysart - 8 freq
dessert - 4 freq
desired - 12 freq
tasered - 1 freq
deserred - 2 freq
dessirt - 1 freq
desiret - 1 freq
desseruit - 1 freq
deseruit - 1 freq
DESERT
Time to execute Levenshtein function - 0.179450 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 - 0.352063 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 - 0.035295 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 - 0.038424 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 - 0.000887 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.