A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to albeit in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
albeit (0) - 6 freq
albert (1) - 25 freq
awbeit (1) - 9 freq
arbeit (1) - 1 freq
aabeit (1) - 3 freq
abeit (1) - 1 freq
albeid (1) - 1 freq
abet (2) - 1 freq
leit (2) - 15 freq
halbert (2) - 2 freq
oleit (2) - 1 freq
'albert (2) - 1 freq
fleit (2) - 2 freq
alreet (2) - 3 freq
alberta (2) - 1 freq
awbesit (2) - 2 freq
alert (2) - 17 freq
aboit (2) - 1 freq
alset (2) - 1 freq
allest (2) - 1 freq
abit (2) - 1 freq
aldest (2) - 1 freq
albais (2) - 1 freq
beit (2) - 13 freq
alberto (2) - 2 freq
albeit (0) - 6 freq
abeit (2) - 1 freq
aabeit (2) - 3 freq
albeid (2) - 1 freq
albert (2) - 25 freq
awbeit (2) - 9 freq
arbeit (2) - 1 freq
aboit (3) - 1 freq
albais (3) - 1 freq
abit (3) - 1 freq
alberto (3) - 2 freq
alert (3) - 17 freq
albeest (3) - 1 freq
beit (3) - 13 freq
alset (3) - 1 freq
leit (3) - 15 freq
oleit (3) - 1 freq
alreet (3) - 3 freq
alberta (3) - 1 freq
abet (3) - 1 freq
loert (4) - 2 freq
alist (4) - 2 freq
elbain (4) - 1 freq
leist (4) - 3 freq
liet (4) - 4 freq
SoundEx code - A413
alaft - 2 freq
alfdi - 1 freq
alleviated - 1 freq
'alaft - 1 freq
aloft - 3 freq
albeit - 6 freq
alleviatit - 1 freq
albeid - 1 freq
alfieheydrich - 1 freq
alloftheabove - 1 freq
alba-the - 1 freq
MetaPhone code - ALBT
albeit - 6 freq
albeid - 1 freq
ALBEIT
Time to execute Levenshtein function - 0.187663 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 - 0.357507 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 - 0.030554 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 - 0.037153 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 - 0.000867 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.