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 nuptial in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
nuptial (0) - 8 freq
'nuptial (1) - 1 freq
nuptials (1) - 1 freq
uptill (2) - 1 freq
neutral (3) - 17 freq
gupta (3) - 1 freq
optimal (3) - 1 freq
uphill (3) - 3 freq
yuptae (3) - 4 freq
suttil (3) - 1 freq
naitral (3) - 37 freq
turtil (3) - 1 freq
numptics (3) - 1 freq
uptap (3) - 1 freq
futbal (3) - 1 freq
nuppin (3) - 1 freq
nuttall (3) - 1 freq
nepal (3) - 1 freq
sundial (3) - 1 freq
uptak (3) - 14 freq
naetral (3) - 1 freq
initial (3) - 18 freq
quetzal (3) - 1 freq
uptae (3) - 22 freq
partial (3) - 8 freq
nuptial (0) - 8 freq
nuptials (2) - 1 freq
'nuptial (2) - 1 freq
until (4) - 495 freq
ineetial (4) - 1 freq
uptail (4) - 2 freq
initial (4) - 18 freq
natal (4) - 2 freq
nepal (4) - 1 freq
uptill (4) - 1 freq
septile (5) - 5 freq
martial (5) - 5 freq
bestial (5) - 1 freq
nial (5) - 4 freq
mutual (5) - 27 freq
ental (5) - 1 freq
instil (5) - 1 freq
numptie (5) - 9 freq
phial (5) - 1 freq
neptune (5) - 19 freq
nept (5) - 1 freq
capital (5) - 90 freq
nestily (5) - 1 freq
ospital (5) - 8 freq
naphtali (5) - 4 freq
SoundEx code - N134
naebdy'll - 2 freq
naebody'll - 6 freq
nuptial - 8 freq
newbattle - 8 freq
naphtali - 4 freq
'nuptial - 1 freq
nuptials - 1 freq
MetaPhone code - NPXL
nuptial - 8 freq
'nuptial - 1 freq
NUPTIAL
Time to execute Levenshtein function - 0.178137 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 - 0.353001 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 - 0.027556 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 - 0.036926 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 - 0.000918 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.