A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to nivver in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
nivver (0) - 977 freq
yivver (1) - 4 freq
'nivver (1) - 3 freq
nivwver (1) - 5 freq
nivwer (1) - 6 freq
nhivver (1) - 1 freq
nivvers (1) - 1 freq
nivvir (1) - 27 freq
niver (1) - 851 freq
ivver (1) - 276 freq
fivver (1) - 4 freq
niwver (1) - 6 freq
pivver (1) - 1 freq
kivver (1) - 6 freq
nicer (2) - 6 freq
yivvery (2) - 1 freq
kivvers (2) - 5 freq
fanivver (2) - 6 freq
iwver (2) - 1 freq
bovver (2) - 6 freq
uvver (2) - 10 freq
hivvier (2) - 2 freq
nivver's (2) - 1 freq
kivvver (2) - 1 freq
'nivver' (2) - 1 freq
nivver (0) - 977 freq
nivvir (1) - 27 freq
fivver (2) - 4 freq
niwver (2) - 6 freq
kivver (2) - 6 freq
yivver (2) - 4 freq
nevvir (2) - 32 freq
ivver (2) - 276 freq
pivver (2) - 1 freq
nivwer (2) - 6 freq
nivwver (2) - 5 freq
niver (2) - 851 freq
'nivver (2) - 3 freq
nhivver (2) - 1 freq
nivvers (2) - 1 freq
faivver (3) - 4 freq
nivir (3) - 180 freq
jvver (3) - 1 freq
cuvver (3) - 1 freq
naver (3) - 3 freq
inver (3) - 1 freq
ivvir (3) - 6 freq
n'iver (3) - 4 freq
finivver (3) - 3 freq
ivvery (3) - 74 freq
SoundEx code - N160
never - 1661 freq
niver - 851 freq
nivver - 977 freq
'never - 14 freq
neibour - 28 freq
neepur - 1 freq
neebra - 3 freq
neiper - 6 freq
nivir - 180 freq
'nivver' - 1 freq
neebor - 43 freq
'nivver - 3 freq
nivvir - 27 freq
neeber - 2 freq
nevir - 8 freq
neebur - 11 freq
'niwver - 1 freq
neebour - 37 freq
napper - 36 freq
naipier - 1 freq
nevvir - 32 freq
niwver - 6 freq
nippier - 1 freq
nebir - 1 freq
neebir - 13 freq
'niver - 2 freq
newvir - 6 freq
'nevvir - 1 freq
nhivver - 1 freq
neeper - 5 freq
napier - 25 freq
nivwer - 6 freq
nibor - 2 freq
niffer - 7 freq
'never' - 1 freq
nivur - 2 freq
nabberie - 1 freq
neibor - 3 freq
€˜never - 7 freq
€œnivver - 5 freq
€˜nivver - 3 freq
never-aa - 1 freq
nibbery - 1 freq
€˜niver - 1 freq
€œniver - 5 freq
neeboor - 1 freq
naver - 3 freq
neiver - 1 freq
€œnivir - 3 freq
navir - 2 freq
€œnever - 2 freq
nipper - 1 freq
n'iver - 4 freq
niÂ’ver - 1 freq
nvr - 2 freq
“nivver - 1 freq
nebbery - 1 freq
nevur - 1 freq
nevar - 1 freq
MetaPhone code - NFR
never - 1661 freq
niver - 851 freq
nivver - 977 freq
'never - 14 freq
nivir - 180 freq
'nivver' - 1 freq
'nivver - 3 freq
nivvir - 27 freq
nevir - 8 freq
'niwver - 1 freq
nevvir - 32 freq
noughr - 1 freq
niwver - 6 freq
'niver - 2 freq
newvir - 6 freq
'nevvir - 1 freq
niffer - 7 freq
'never' - 1 freq
nivur - 2 freq
€˜never - 7 freq
€œnivver - 5 freq
€˜nivver - 3 freq
never-aa - 1 freq
€˜niver - 1 freq
€œniver - 5 freq
naver - 3 freq
neiver - 1 freq
€œnivir - 3 freq
navir - 2 freq
€œnever - 2 freq
n'iver - 4 freq
niÂ’ver - 1 freq
nvr - 2 freq
“nivver - 1 freq
nevur - 1 freq
nevar - 1 freq
NIVVER
never - 1661 freq
nivver - 977 freq
niver - 851 freq
nevvir - 32 freq
Time to execute Levenshtein function - 0.186604 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 - 0.327751 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 - 0.027889 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 - 0.036709 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 - 0.000932 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.