A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

- basic concord - pre-sorted concord - post-sorted concord - map and chronology - chronogrid - fine-grain concord -

Similar words to registration in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
registration (0) - 6 freq
legislation (3) - 38 freq
regeneration (3) - 3 freq
restoration (3) - 7 freq
recitation (3) - 2 freq
arbitration (4) - 4 freq
eetimtation (4) - 2 freq
repitition (4) - 1 freq
hesitation (4) - 12 freq
orchestration (4) - 1 freq
gestation (4) - 1 freq
reputation (4) - 30 freq
regulation (4) - 4 freq
redistribution (4) - 3 freq
furstration (4) - 1 freq
remonstratin (4) - 1 freq
meditation (4) - 12 freq
resignation (4) - 12 freq
registrar (4) - 2 freq
legislations (4) - 1 freq
realisation (4) - 22 freq
illustration (4) - 6 freq
sequestration (4) - 1 freq
gineration (4) - 1 freq
menstruation (4) - 1 freq
registration (0) - 6 freq
restoration (4) - 7 freq
registerin (5) - 3 freq
regeneration (5) - 3 freq
frustration (6) - 18 freq
registert (6) - 10 freq
registrar (6) - 2 freq
illustration (6) - 6 freq
restrain (6) - 2 freq
menstruation (6) - 1 freq
registrars (6) - 1 freq
castration (6) - 1 freq
remonstratin (6) - 1 freq
sequestration (6) - 1 freq
redistribution (6) - 3 freq
magistratis (6) - 1 freq
arbitration (6) - 4 freq
recitation (6) - 2 freq
legislation (6) - 38 freq
furstration (6) - 1 freq
orchestration (6) - 1 freq
gestation (6) - 1 freq
prostration (6) - 1 freq
restorative (7) - 3 freq
restaurautioun (7) - 2 freq
SoundEx code - R223
resist - 47 freq
request - 28 freq
reseistent - 1 freq
reseistence - 1 freq
re-checked - 1 freq
rashes-the - 1 freq
register - 77 freq
resisted - 2 freq
rejectit - 3 freq
reject - 13 freq
racist - 25 freq
resistance - 28 freq
rejected - 7 freq
rejectin - 4 freq
rejection - 8 freq
requested - 5 freq
registration - 6 freq
richest - 8 freq
registers - 26 freq
rejects - 1 freq
registered - 16 freq
rejeckit - 9 freq
resistit - 2 freq
rejiggit - 2 freq
resisat - 1 freq
rug-sooked - 1 freq
roughest - 3 freq
reichstag - 1 freq
requestit - 1 freq
rejoiced - 3 freq
rejoict - 1 freq
resistin - 1 freq
resistan - 1 freq
resistant - 3 freq
rook-squawked - 1 freq
requests - 7 freq
resisters - 1 freq
register-hooses - 1 freq
registrars - 1 freq
requeishtit - 1 freq
raisistin - 1 freq
registert - 10 freq
€˜registerless - 1 freq
racists - 6 freq
registerin - 3 freq
reegistrar - 1 freq
registrar - 2 freq
resuscitation - 1 freq
rajasthan - 2 freq
recheckit - 1 freq
roughshod - 1 freq
registirs - 1 freq
rechistirs - 1 freq
richist - 1 freq
rechistird - 1 freq
rqzykxd - 1 freq
registry - 1 freq
roguecoder - 3 freq
resuscitated - 1 freq
MetaPhone code - RJSTRXN
registration - 6 freq
REGISTRATION
Time to execute Levenshtein function - 0.386653 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 - 0.800801 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 - 0.080742 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 - 0.086716 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 - 0.000900 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.