A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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

Similar words to attention in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
attention (0) - 183 freq
attentioun (1) - 1 freq
attintion (1) - 3 freq
attentions (1) - 3 freq
attrition (2) - 2 freq
attintien (2) - 6 freq
attrection (2) - 1 freq
attennin (2) - 1 freq
detention (2) - 10 freq
attendin (2) - 11 freq
intention (2) - 24 freq
attintions (2) - 3 freq
attensien (2) - 1 freq
attentive (2) - 1 freq
attentik (2) - 1 freq
intentions (3) - 16 freq
staetion (3) - 28 freq
invention (3) - 22 freq
attendan (3) - 3 freq
absentin (3) - 1 freq
addeition (3) - 3 freq
attendit (3) - 28 freq
essention (3) - 1 freq
parteetion (3) - 6 freq
addeetion (3) - 3 freq
attention (0) - 183 freq
attentioun (1) - 1 freq
attintion (1) - 3 freq
attintien (2) - 6 freq
attentions (2) - 3 freq
attintions (3) - 3 freq
attensien (3) - 1 freq
intention (3) - 24 freq
attentik (3) - 1 freq
attentive (3) - 1 freq
attendin (3) - 11 freq
attennin (3) - 1 freq
detention (3) - 10 freq
attrition (3) - 2 freq
attent (4) - 1 freq
tentin (4) - 10 freq
stentin (4) - 2 freq
attendan (4) - 3 freq
attrection (4) - 1 freq
attenshun (5) - 1 freq
attemptin (5) - 9 freq
athentik (5) - 4 freq
athenian (5) - 14 freq
attestit (5) - 6 freq
attraction (5) - 17 freq
SoundEx code - A353
attendit - 28 freq
attention - 183 freq
admit - 99 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 - ATNXN
attention - 183 freq
attintion - 3 freq
attentioun - 1 freq
attenshun - 1 freq
ATTENTION
tent - 460 freq
tented - 1 freq
tents - 22 freq
tentie - 38 freq
tainty - freq
tentlessness - freq
tenty - 6 freq
attention - 183 freq
Time to execute Levenshtein function - 0.181332 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 - 0.375998 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 - 0.032102 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 - 0.039665 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 - 0.001262 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.