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 attendance in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
attendance (0) - 13 freq
attendances (1) - 5 freq
attendence (1) - 1 freq
attendant (2) - 10 freq
attendan (2) - 3 freq
attendants (2) - 8 freq
utterance (3) - 4 freq
ascendancy (3) - 1 freq
attendant's (3) - 1 freq
abundance (3) - 9 freq
attending (3) - 4 freq
attendin (3) - 11 freq
appendage (4) - 1 freq
penance (4) - 2 freq
afternane (4) - 1 freq
repentance (4) - 3 freq
revengance (4) - 1 freq
avoidance (4) - 4 freq
attends (4) - 1 freq
extendable (4) - 1 freq
tenancy (4) - 13 freq
allegiance (4) - 7 freq
athenians (4) - 1 freq
ascendant (4) - 1 freq
attend (4) - 36 freq
attendance (0) - 13 freq
attendence (1) - 1 freq
attendances (2) - 5 freq
attendan (3) - 3 freq
attendant (3) - 10 freq
attendin (4) - 11 freq
attending (4) - 4 freq
attendants (4) - 8 freq
tendency (5) - 9 freq
abundance (5) - 9 freq
utterance (5) - 4 freq
ascendancy (5) - 1 freq
attennin (6) - 1 freq
attended (6) - 16 freq
tenancie (6) - 2 freq
intendant (6) - 1 freq
attendees (6) - 1 freq
sundance (6) - 1 freq
attend (6) - 36 freq
tendan (6) - 1 freq
attendit (6) - 28 freq
attendant's (6) - 1 freq
attends (6) - 1 freq
tenancy (6) - 13 freq
extending (7) - 2 freq
SoundEx code - A353
attendit - 28 freq
attention - 183 freq
admit - 100 freq
attentions - 3 freq
a-dundert - 1 freq
attendance - 13 freq
attended - 16 freq
atween-times - 1 freq
admitted - 16 freq
admittit - 10 freq
automatic - 11 freq
automaton - 1 freq
attendin - 11 freq
attend - 36 freq
attimt - 1 freq
attintien - 6 freq
attained - 1 freq
automatically - 48 freq
admittedly - 7 freq
automated - 5 freq
admits - 2 freq
'admit - 1 freq
attintion - 3 freq
attintions - 3 freq
admittin - 6 freq
'authentic - 1 freq
authentic - 13 freq
attendant - 10 freq
attentioun - 1 freq
admït - 1 freq
automation - 1 freq
aduneit - 1 freq
aatomaetion - 1 freq
aathenticity - 2 freq
a-dunder - 1 freq
attends - 1 freq
attendence - 1 freq
authenticity - 6 freq
attendants - 8 freq
attendant's - 1 freq
attendan - 3 freq
attentik - 1 freq
attuned - 2 freq
adenoidal - 1 freq
admittance - 1 freq
automatik - 1 freq
autentyfe - 1 freq
admeittedlie - 1 freq
attention-tax - 1 freq
attendees - 1 freq
attent - 1 freq
addendums - 1 freq
attentiveness - 1 freq
attentive - 1 freq
attendances - 5 freq
aidentitee - 1 freq
athentik - 4 freq
athentisitee - 1 freq
athenticitee - 1 freq
admitting - 1 freq
attention-seekin - 1 freq
automatit - 1 freq
attending - 4 freq
MetaPhone code - ATNTNS
attendance - 13 freq
attendence - 1 freq
ATTENDANCE
Time to execute Levenshtein function - 0.422622 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 - 0.974781 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 - 0.027689 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 - 0.086039 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.